ArticlePDF Available

Ratings of the Effectiveness of 13 Therapeutic Diets for Autism Spectrum Disorder: Results of a National Survey

Authors:

Abstract and Figures

This study presents the results of the effectiveness of 13 therapeutic diets for autism spectrum disorder from 818 participants of a national survey, including benefits, adverse effects, and symptom improvements. The average Overall Benefit of diets was 2.36 (0 = no benefit, 4 = great benefit), which was substantially higher than for nutraceuticals (1.59/4.0) and psychiatric/seizure medications (1.39/4.0), p < 0.001. The average Overall Adverse Effects of diets was significantly lower than psychiatric/seizure medications (0.10 vs. 0.93, p < 0.001) and similar to nutraceuticals (0.16). Autism severity decreased slightly over time in participants who used diet vs. increasing slightly in those that did not (p < 0.001). Healthy and Feingold diets were the two top-rated diets by Overall Benefit; the ketogenic diet was the highest for nine symptoms (though had fewer respondents); and the gluten-free/casein-free diet was among the top for overall symptom improvements. Different diets were reported to affect different symptoms, suggesting that an individual’s symptoms could be used to guide which diet(s) may be the most effective. The results suggest that therapeutic diets can be safe and effective interventions for improving some ASD-related symptoms with few adverse effects. We recommend therapeutic diets that include healthy foods and exclude problematic foods. Therapeutic diets are inexpensive treatments that we recommend for consideration by most people with ASD.
Content may be subject to copyright.
J. Pers. Med. 2023, 13, 1448. https://doi.org/10.3390/jpm13101448 www.mdpi.com/journal/jpm
Article
Ratings of the Eectiveness of 13 Therapeutic Diets for Autism
Spectrum Disorder: Results of a National Survey
Julie S. Mahews
1
and James B. Adams
2,
*
1
College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; julie@nourishinghope.com
2
School of Engineering of Maer, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA;
jim.adams@asu.edu
* Correspondence: jim.adams@asu.edu; Tel.: +1-480-965-3316
Abstract: This study presents the results of the eectiveness of 13 therapeutic diets for autism spec-
trum disorder from 818 participants of a national survey, including benets, adverse eects, and
symptom improvements. The average Overall Benet of diets was 2.36 (0 = no benet, 4 = great
benet), which was substantially higher than for nutraceuticals (1.59/4.0) and psychiatric/seizure
medications (1.39/4.0), p < 0.001. The average Overall Adverse Eects of diets was signicantly lower
than psychiatric/seizure medications (0.10 vs. 0.93, p < 0.001) and similar to nutraceuticals (0.16).
Autism severity decreased slightly over time in participants who used diet vs. increasing slightly in
those that did not (p < 0.001). Healthy and Feingold diets were the two top-rated diets by Overall
Benet; the ketogenic diet was the highest for nine symptoms (though had fewer respondents); and
the gluten-free/casein-free diet was among the top for overall symptom improvements. Dierent
diets were reported to aect dierent symptoms, suggesting that an individual’s symptoms could
be used to guide which diet(s) may be the most eective. The results suggest that therapeutic diets
can be safe and eective interventions for improving some ASD-related symptoms with few adverse
eects. We recommend therapeutic diets that include healthy foods and exclude problematic foods.
Therapeutic diets are inexpensive treatments that we recommend for consideration by most people
with ASD.
Keywords: autism; autism spectrum disorder; diet; therapeutic diets; personalized nutrition;
gluten-free casein-free diet; ketogenic diet; Feingold diet; healthy diet; survey
1. Introduction
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder involv-
ing decits in communication, behavior, and social interaction that aects 1 in 44 children,
and 4.2 times as many boys than girls [1]. ASD often involves many co-occurring symp-
toms, including intellectual disability, seizures, sleep disorders, gastrointestinal disor-
ders, feeding disorders, and mood disorders The lifetime cost of caring for a child with
ASD in the United States is $1.42.4 million (for those without and with an intellectual
disability, respectively) [2]. Current treatment options include behavioral therapy [3], spe-
cial education and other therapies [4], psychiatric/seizure medications [5], nutraceuticals
[6], gastrointestinal treatments [7], and therapeutic diets [6,8].
Of the various treatment options, therapeutic diets have received relatively lile re-
search despite being widely used by autism families [9]. Several survey studies have re-
ported benets from therapeutic diets in some ASD symptoms, including behavior, com-
munication, and health, as well as gastrointestinal issues, aention, communication, and
socialization [10,11]. Clinical experience also demonstrates that dietary intervention can
improve some core ASD symptoms. Case reports describe the benets of therapeutic diets
for children with ASD, including improvements in eye contact, communication, constipa-
tion, and vomiting from a gluten-free casein-free (GFCF) diet [12], as well as
Citation: Mahews, J.S.; Adams, J.B.
Ratings of the Eectiveness of 13
Therapeutic Diets for Autism
Spectrum Disorder: Results of a
National Survey. J. Pers. Med. 2023,
13, 1448. hps://doi.org/10.3390/
j
pm13101448
Academic Editor: Rajendra D
Badgaiyan
Received: 6 September 2023
Revised: 22 September 2023
Accepted: 26 September 2023
Published: 29 September 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Swierland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Aribution (CC BY) license
(hps://creativecommons.org/license
s/by/4.0/).
J. Pers. Med. 2023, 13, 1448 2 of 34
improvements in cognition, autism symptoms, and even a reduction in seizures from a
gluten-free casein-free ketogenic diet [13].
One of the major reasons for implementing therapeutic diets is that children with
ASD often exhibit self-limited diets, and may eat only a small number of foods, which
increases the risk of macronutrient and micronutrient deciencies [14]. A meta-analysis
showed that children with autism spectrum disorder consume a diet lower in calcium,
vitamin D, thiamine, riboavin, vitamin B12, selenium, phosphorus, and omega-3 than
typically developing control children, and calcium and vitamin D were under the recom-
mended daily intake [15]. Additionally, an observational study found children with ASD
were signicantly lower than neurotypical controls in levels of calcium, magnesium, car-
otenes, vitamin B5, vitamin E, biotin, and lithium, with 7–31% of children below the ref-
erence ranges for these nutrients [16].
Another major reason to consider therapeutic diets is that a meta-analysis of eight
studies reported that children with ASD have many dierences in their gut bacteria com-
pared to typical children [17], and many studies have reported elevated levels of intestinal
yeast in children with ASD compared to controls [18]. Both bacteria [19] and yeast [20] are
largely inuenced by diet, and research shows the eects of food and therapeutic diets on
the microbiota in mental health disorders [21] including autism [22]. Some therapeutic
diets are designed to alter the gut microbiome, and it is suggested by researchers that they
can be used to inuence the microbiome and be customized based on personal underlying
factors and needs [23].
ASD involves many more comorbidities and underlying factors for which dietary
intervention may be helpful, such as mitochondrial dysfunction [24], gastrointestinal is-
sues, immune system dysregulation, seizures, and sleep disturbances, as well as psycho-
logical conditions including anxiety, depression and behavior problems [3]. Further ab-
normalities include oxidative stress [25] disordered methylation, sulfation, and transsul-
furation [26], and disordered oxalate metabolism [27].
Most research on therapeutic diets in ASD has focused on gluten-free casein-free
(GFCF) diets, which are suggested because gluten and casein (from milk products) are
common allergens [28]; several studies have reported decreased levels of lactase (needed
to digest lactose in milk) in children with ASD [29–32], and there is a hypothesis that un-
digested casein may have an opioid-like eect in the brain [33]. The research on the eec-
tiveness of GFCF diets is mixed, but a meta-analysis of eight randomized controlled trials
of the GFCF diet found that it signicantly improved stereotypical behavior of autism (5
studies) and cognitive function (3 studies) [34].
The ketogenic diet has also been found to be benecial and improve ASD symptoms
[35]. Ketogenic diets are low carbohydrate, high fat, and adequate protein diets that are
widely used for seizure control for epilepsy [36], and about 30% of people with ASD even-
tually develop seizures, and about 80% have subclinical seizures [37]. A study on the ke-
togenic diet versus the GFCF diet in ASD found both diets were benecial and provided
symptom improvements, although they had benets in dierent symptoms [38]. The
Paleo diet and Specic Carbohydrate Diet (SCD) are additional diets that eliminate par-
ticular carbohydrates including grains and starches. The Paleo diet also avoids all leg-
umes, dairy, and most added sugars, while SCD avoids disaccharides and polysaccha-
rides including sucrose and lactose. Part of the reason for the use of these diets is that
children and adults with ASD often have low levels of disaccharidase enzymes, contrib-
uting to dysbiosis and digestive distress [32]. Research on SCD shows it is benecial for
children with ASD by reducing autism symptoms [39].
Many other diets are commonly used for individuals with ASD, but there is less re-
search on them. Most diets focus on removal of specic foods and compounds that nega-
tively aect biochemistry and symptoms. The Feingold diet reduces articial food addi-
tives and salicylates and is recommended because these substances are dicult to detoxify
in certain children, contributing to hyperactivity and negative behaviors [40]. A corn-free
diet, soy-free diet, or other food-avoidance diet (based on IgG or IgE food testing) removes
J. Pers. Med. 2023, 13, 1448 3 of 34
the problematic proteins from the diet that can cause inammation and intestinal perme-
ability [41]. A low sugar diet is a diet low in added sugar and overall sugar intake and is
benecial as there is no nutritional need for sugar and it can contribute to overweight,
digestive symptoms, poor growth, dental caries, and increase the risk of developing type
2 diabetes and cardiometabolic conditions [42], and also increase the risk of intestinal
yeast infections, which are common in children with ASD [18,43]. A food-avoidance diet
(based on observation) removes any foods that have been known to cause a reaction. A
low oxalate diet has been proposed because impaired oxalate metabolism is an underlying
factor in some individuals with ASD [27]. Many review papers examine the use of thera-
peutic diets for ASD, and most discuss the use of a targeted or personalized nutrition ap-
proach to dietary intervention, and include the following diets: the GFCF diet [44–48],
ketogenic diet [45–48], Specic Carbohydrate Diet [45,47,48], low sugar diet [44,45], Low
FODMAPs diet [45], elimination diet [48], low oxalate diet [48], Feingold diet [45,46], and
the Mediterranean diet [47].
Other eective diet strategies that have been reported include focusing on a healthy
diet by adding nutritious foods and removing unhealthy foods such as sugar and food
additives [46]. A randomized controlled study of a comprehensive diet and nutrition ap-
proach, which included a gluten-free, casein-free, and soy-free diet, focusing on healthy
foods along with nutrient supplementation for individuals with ASD, resulted in im-
proved non-verbal IQ, developmental age, and many symptoms and comorbidities of au-
tism spectrum disorder, such as language, sociability, anxiety, ritual behaviors, gastroin-
testinal distress, and more [49].
Many of the diets discussed above have had lile research on them, and there is al-
most no research to compare the ecacy of one diet vs. another. Survey research on ther-
apeutic diets for ASD provides initial evidence on the benet and eects of many diet
strategies [9–11]. However, some studies are rather small with 37 respondents and report
on the improvement from therapeutic diets as a whole (not individual diets) [10], and
other surveys are limited to results on only one or a few diets [9,11]. One huge survey
study included data from over 27,000 families [50] on many treatments, including several
diets, and reported 45–71% of individuals improved on various diets with rare adverse
eects (2–7%), but did not specify which symptoms improved.
This paper reports on the results of a national survey of the eectiveness of 13 thera-
peutic diets for ASD and their associated symptom changes. This study is part of a larger
survey that included nutraceuticals [51], psychiatric/seizure medications [52], and thera-
pies, and involves 818 participants that reported on the eect of one or more therapeutic
diets. It includes information on the Overall Benets and Overall Adverse Eects, as well
as specic symptoms aected.
The study was designed to obtain an understanding of the benets and adverse ef-
fects of therapeutic diets for individuals with autism spectrum disorder, as rated by care-
givers of children and adults with ASD (and some individuals with ASD). The research
questions were, will therapeutic diets oer Overall Benet and symptom improvements
for individuals with ASD, and will dierent diets help dierent symptoms?
2. Materials and Methods
This observational study was a cross-sectional study design that reported on the re-
sults of an online survey entitled, “National Survey on Treatment Eectiveness for Au-
tism”. The survey gathered data on the eectiveness of therapeutic diets, nutraceuticals,
medications, and therapies for ASD. This paper is focused on the results for therapeutic
diets.
It utilized two rating scales, one for benets and one for adverse eects. The survey
also captured data on what percentage of participants reported changes in various bene-
cial and adverse symptoms related to each diet.
The study design, survey, and ads for the study were approved by the Institutional
Review Board (IRB) of Arizona State University. The details of the creation, data
J. Pers. Med. 2023, 13, 1448 4 of 34
collection, and distribution of this survey can be found in a previously published study
using this survey [52].
The inclusion criteria were participants in the study, parents and caregivers of chil-
dren and adults with autism, autism spectrum disorder, Asperger’s syndrome, high-func-
tioning autism, pervasive developmental disorder not otherwise specied, as well as in-
dividuals with autism spectrum disorder. Since participation was anonymous, diagnosis
was not veried. Exclusion criteria were non-English speakers.
The survey had seven sections: medical history, psychiatric and seizure medication,
general medication, nutraceuticals, diets, therapies, and education. This study focuses on
the participants who reported the use of therapeutic diets, along with the demographics
and the medical history of those participants.
The diet portion of the survey began with a question of which diets the individual
with ASD had previously tried or was currently using, including a casein-free diet, corn-
free diet, Feingold Diet (dened as no articial colors, avors, or preservatives), food-
avoidance diet (based on IgG or IgE food testing), food-avoidance diet (based on observa-
tion), GAPS (Gut and Psychology Syndrome) Diet, gluten-free and casein-free (GFCF)
diet, gluten-free diet, healthy diet (dened as high intake of vegetables, fruit, protein; low
intake of junk food), ketogenic diet, low oxalate diet, low sugar diet, medium chain tri-
glyceride diet, modied Atkins diet, Paleo diet, rotation diet, soy-free diet, Specic Carbo-
hydrate Diet (SCD), other diet (with a write-in eld), and none. Results are only reported
here for diets with 20 or more responses.
The survey asked respondents about the Overall Benet and Overall Adverse Eects
of each diet used. There was an interval scale for rating the benets and adverse eects of
the diets. The rating scale for perceived Overall Benet was a scale of 0–4 (0 = no benet,
1 = slight benet, 2 = moderate benet, 3 = good benet, and 4 = great benet). The per-
ceived Overall Adverse Eects (AE) rating scale was 0–3 (0 = no adverse eects, 1 = mild
adverse eects, 2 = moderate adverse eects, and 3 = severe adverse eects). The Overall
Benet and Adverse Eects ratings of each diet were calculated as the mean of the scores
of the participants. Net benet was calculated as Overall Benet minus Overall Adverse
Eects.
The study also collected data on which symptoms changed with each diet; the list of
symptom improvements and adverse eects can be found in Table 1. For each diet, the
participant selected which symptom(s) were aected by the diet.
Table 1. List of Improved Symptoms and Adverse Eects.
Improved Symptoms Adverse Eects
General benet (no one particular symptom)
Aggression/agitation
Anxiety
Aention
Cognition (ability to think)
Constipation
Depression
Diarrhea
Eczema/skin problem
Health (fewer illnesses and/or less severe illnesses)
Hyperactivity
Irritability
Language/communication
Lethargy (easily tired)
OCD
Reux/vomiting
General worsening (no one specic symptom)
Aggression/agitation
Anxiety
Bedweing/bladder control
Behavior problems
Decreased cognition (diculty thinking/remembering)
Depression
Dizziness/unsteadiness
Dry mouth
Fatigue/drowsiness
Gastrointestinal problems
Headache/migraine
Irritability
Liver/kidney problem
Loss of appetite
Nausea
J. Pers. Med. 2023, 13, 1448 5 of 34
Seizures
Self-injury
Sensory sensitivity
Sleep (falling asleep)
Sleep (staying asleep)
Social interaction and understanding
Stimming/perseveration/desire for sameness
Tics/abnormal movements
Other (with a write-in option)
Rash
Seizures
Self-injurious
Sleep problems
Stimming/perseveration/desire for sameness
Tics/abnormal movements
Weight gain
Weight loss
Other (with a write-in option)
The symptom improvements for each diet were reported as the percentage of people
who had improvement in that symptom with the diet. The adverse eects were reported
as the percentage of people who had that adverse eect with the diet. The top symptom
improvements were reported for each diet. Additionally, the diets that were highest rated
for specic symptom improvements were also reported.
Comparisons on the average Overall Benet and Overall Adverse Eects of thera-
peutic diets vs. nutraceuticals and therapeutic diets vs. psychiatric/seizure medications
were run. The Mann–Whitney U test was used since the data was not normally distrib-
uted.
The survey also asked how strictly the participant followed the diet, as well as how
much advice they received. Statistics on correlation coecients were run between how
strictly participants followed the diet and the benets they received from the diet, between
how much dietary advice they received and how strictly they followed the diet, and how
much dietary advice they received and the benets they received from the diet. Because
the data was not normally distributed, the Spearman’s rank correlation coecient or
Spearman’s rho (rs) statistical test was used.
The survey gathered data on the severity of autism at 3 years of age and at the current
time the survey was lled out. A value of 1–5 was given with no autistic symptoms = 1,
nearly normal with only very mild symptoms = 2, mild autism = 3, moderate autism = 4,
and severe autism = 5. The severity at age 3 was subtracted from current severity to calcu-
late the change in severity. A negative number indicated a reduction in severity. The mean
of change in severity was calculated for the diet users and non-diet group. Additionally,
the Mann–Whitney U test was used (since data was not normally distributed) to compare
any change in autism severity between participants that used dietary intervention (n =
486) versus those that did not (n = 332).
The nal diet question in the survey asked “Overall, what benet do you think diet
had on your child?” This overarching question included a seven-point rating scale: the
rst three were much beer (3), somewhat beer (2), or slightly beer (1); the middle re-
sponse was no eect (0); and the last three were mildly worse (1), somewhat worse (2),
or much worse (3). The mean score was reported.
Survey data was analyzed through IBM SPSS Statistics software, version 28.0.1.1.
Comparisons between groups were performed with the Mann–Whitney U test and corre-
lations were performed with the Spearman’s rank correlation coecient, as data were not
normally distributed. A p-value of less than 0.05 was considered statistically signicant.
3. Results
3.1. Demographics
Of the 818 participants who lled out the survey, a vast majority were primary care-
givers (87%) and just over 9% were individuals with ASD. More than 50% of people with
ASD were 12 years old or under, 19% were 13–18 years old and 25% were over 18 years
old. Males made up 75% of the group and 25% were female. Demographic data are listed
in Table 2.
J. Pers. Med. 2023, 13, 1448 6 of 34
Table 2. Demographics and Medical History.
N %
Number of participants 818
Partipants that used dietary intervention 486
Partipants that did not used dietary intervention 332
Age of individual with ASD
Under 3 years 21 2.6%
3–5 years 131 16%
6–9 years 181 22%
10–12 years 124 15%
13–15 years 98 12%
16–18 years 60 7.3%
19–21 years 46 5.6%
22–30 years 80 9.8%
31–40 years 30 3.7%
41–50 years 23 2.8%
51–60 years 15 1.8%
Over 60 years 8 1.0%
Gender
Male 610 75%
Female 203 25%
Other 3 0.4%
Survey filled out by
Primary caregiver 711 87%
High functioning individual with autism, no guardian 58 7.1%
Completed by individual with autism, has guardian 17 2.1%
Other 32 3.9%
Diagnosis
Autism 349 43%
Autism Spectrum Disorder (this is less severe than a diagnosis of Autism) 199 24%
Pervasive Developmental Disorder—Not Otherwise Specified (PDDNOS) 47 5.7%
High-Functioning Autism 97 12%
Asperger’s Syndrome 119 15%
Other 7 0.9%
Developmental history
Normal development, followed by major regression 169 21%
Normal development, followed by a plateau in development that lasted for several months or longer 186 23%
Normal development, followed by a major regression and a plateau lasting several months or longer 101 12%
Abnormal development from early infancy, with no major regression or plateau in development 266 33%
Other 91 11%
Severity at age 3
No autistic symptoms 31 3.8%
Nearly normal, with only very mild symptoms 146 18%
Mild autism 180 22%
Moderate autism 300 37%
Severe autism 152 19%
Severity currently
No autistic symptoms 4 0.5%
Nearly normal, with only very mild symptoms 123 15%
J. Pers. Med. 2023, 13, 1448 7 of 34
Mild autism 254 31%
Moderate autism 309 38%
Severe autism 122 15%
Rounds of oral antibiotics from 0–36 months of age
Mean/Average 7
1st Quartile 1
Median 3
3rd Quartile 6
0 rounds 101 14%
1 round 135 19%
2 rounds 92 11%
3 rounds 111 16%
4 rounds 41 5.8%
5 rounds 48 6.8%
6 rounds 41 5.8%
7 rounds 15 2.1%
8 rounds 13 1.8%
9 rounds 6 0.8%
10–14 rounds 36 5.0%
15–19 rounds 13 1.8%
20–24 rounds 10 1.4%
25–29 rounds 4 0.5%
30+ rounds 45 6.1%
3.2. Medical History
Of the participants, 43% had a diagnosis of autism and 24% had autism spectrum
disorder, dened in the survey as less severe than an autism diagnosis (other diagnoses
can be found in Table 2). The developmental history included 33% who had abnormal
development from birth, with the majority (56%) having normal development followed
by some form of regression and/or plateau. Those with moderate to severe autism at 3
years of age consisted of 56% of participants and decreased to 53% at the current time of
the survey being conducted. There were a substantial number of antibiotics given in the
rst three years of life with a median of 3 rounds, 1st quartile of 1 round, and 3rd quartile
of 6 rounds, where rounds were dened as “10 days = 1 round”. In total, 14% of individ-
uals had no antibiotics from age 0–36 months, approximately 70% had 1–9 rounds, 9% had
10–29 rounds, and 6% had over 30 rounds of antibiotics by the age of 3 years old (although
it is possible some of these participants confused rounds with days). Table 2 includes more
details of medical history data.
3.3. Diets in General
Table 3 lists the Overall Benet score for each diet, which ranged from 2.0–2.7, with
an average of 2.36 across all diets. Table 3 also lists the Overall Adverse Eects (AE) scores
ranging from 0–0.4 and averaged 0.1. Net benet scores (Overall Benet minus AE) ranged
from 1.9–2.7, and these 13 diet scores were averaged for a net benet score of 2.26. Overall
Benet and Overall Adverse Eect are also graphed in Figure 1.
A separate question was asked about the overall benet of diet in general with a
worse to beer rating of 3 to +3, which resulted in a mean of 1.7 ± 1.3. This score was
lower because the upper range only went to +3 vs. +4 and included negative scores for
those who reported diet made symptoms worse. Since all other individual diet scores used
the other benet rating scale of 0–4, this particular score of 1.7 was not used outside of this
single datapoint.
J. Pers. Med. 2023, 13, 1448 8 of 34
Table 3. Overall Benet, Overall Adverse Eect, Sorted by Highest Net Benet.
Diet Overall Benefit
Overall Adverse
Effect Net Benefit
Healthy Diet 2.7 0 2.7
Feingold Diet 2.6 0 2.6
Food Avoidance, IgG/IgE 2.6 0 2.6
Low Sugar Diet 2.5 0.1 2.4
GFCF Diet 2.4 0.1 2.3
Food Avoidance, observation 2.5 0.3 2.2
Corn-free Diet 2.2 0 2.2
Specific Carbohydrate Diet 2.4 0.2 2.2
Casein-Free Diet 2.2 0.1 2.1
Soy-Free Diet 2.1 0 2.1
Paleo Diet 2.1 0 2.1
Ketogenic Diet 2.4 0.4 2.0
Gluten-free Diet 2.0 0.1 1.9
Average of All Diets 2.36 0.10 2.26
Figure 1. Overall Benet and Adverse Eect of Therapeutic Diets, Sorted from Highest to Lowest
Overall Benet.
3.4. Benets and Adverse Eects of the Dierent Therapeutic Diets
The diet with the highest net benet was a Healthy diet with an Overall Benet score
of 2.7, followed by the Feingold diet and food avoidance diet based on IgG and IgE testing
with Overall Benet scores of 2.6. The ketogenic diet had a net benet of 2.0 (with an
J. Pers. Med. 2023, 13, 1448 9 of 34
Overall Benet of 2.4 but a higher-than-average Adverse Eect score of 0.4). All of the
therapeutic diet ratings are listed in Table 3.
3.5. Frequency of Therapeutic Diet Usage
The number of individuals that used each diet is listed in Table 4. Some participants
used more than one diet. The average number of diets used per participant was 2.6 diets.
Three of the four most popular diets were gluten-free and/or casein-free related,
where the most commonly diet used was the GFCF diet with 221 people; next was a
healthy diet with 179 people; third was a casein-free diet with 134 responses; fourth was
gluten-free with 114 participants; and the nal diet above 100 users was the Low Sugar
diet with 104 participants. The ketogenic diet and Paleo diet were used by only 21 re-
spondents, so caution is needed in interpreting these results due to the small sample size.
Since only diets with over 20 respondents were reported on, some diets such as the GAPS
diet, low oxalate diet, and others were not included in the results.
Table 4. Therapeutic Diet Frequency.
Diet # Respondents That Used Diet
GFCF Diet 221
Healthy Diet 179
Casein-Free Diet 134
Gluten-Free Diet 114
Low Sugar Diet 104
Food Avoidance, observation 82
Feingold Diet 74
Soy-Free Diet 62
Food Avoidance, IgG/IgE 54
Corn-Free Diet 46
Specific Carbohydrate Diet 37
Ketogenic Diet 21
Paleo Diet 21
3.6. Symptom Improvements from Diets
3.6.1. Average Symptom Improvements from All Diets
Figure 2 shows the percentage of respondents that reported symptoms improve-
ments due to diet, averaged across all diets. The top symptom improvements from all
diets were calculated by taking the unweighted average of all diets for each symptom.
General benet received the highest percentage score (44%) but was excluded from Figure
2 to focus on specic individual symptoms, which ranged from 21% to 3%. The top symp-
tom improvements (with average percentage of users who improved) were aention
(21%), cognition (18%), irritability (18%), health (17%), hyperactivity (17%), aggression/ag-
itation (16%), anxiety (16%), constipation (15%), diarrhea (15%), and language/communi-
cation (13%).
Since these are averages of all participants, less common symptoms in ASD, such as
tics or seizures, tended to have a lower % that improved, since only a fraction of the par-
ticipants have the symptom. However, some diets are chosen due to a specic symptom;
for example, the ketogenic diet is used for seizures, so, presumably, more of the people
using the ketogenic diet probably experience seizures.
J. Pers. Med. 2023, 13, 1448 10 of 34
Figure 2. Percentage of Respondents that Reported Symptom Improvements Due to Diet, Averaged
Across All Diets. General Benets were reported by 44% of participants, but are not displayed in the
graph in order to beer display the other results.
3.6.2. Symptom Improvements of the Dierent Therapeutic Diets
All symptom improvements are reported as the percentage of individuals who re-
ported improvement with that symptom with a specic therapeutic diet. The top diets per
symptom improvement were ranked by percentage of people who had improvement in
that symptom in Figure 3, and the top ve diets for each symptom are listed in Table 5.
For the top ve diets in Table 5, when the percentage was the same, they are ranked sec-
ondarily by which diet had a higher Overall Benet rating. The diets that appeared in the
top ve were, most often, the ketogenic diet, GFCF diet, Feingold diet, food avoidance
diet based on observation, and a Low Sugar diet.
The ketogenic diet was the top-rated diet for nine symptoms: aention (43%), cogni-
tion (37%), anxiety (33%), language/communication (29%), social interaction and under-
standing (29%), constipation (24%), seizures (19%), lethargy (19%), and depression (14%).
The Feingold diet was the top-rated diet for six symptoms: hyperactivity (45%), irri-
tability (38%), aggression (34%), sensory sensitivity (22%), falling sleep (19%), and staying
asleep (15%).
The GFCF diet was in the top two diets for cognition (29%), language/communication
(25%), diarrhea (22%), social interaction and understanding (22%), sensory sensitivity
(19%), and stimming/perseveration/desire for sameness 19%.
The top-rated diet for improving health was a Healthy diet (along with food avoid-
ance based on observation) at 24%.
The corn-free diet was the best diet for diarrhea with 26% of individuals improving
and second for constipation at 22%.
The Low Sugar diet was in the top two diets for hyperactivity (43%) and aggression
(23%) and in third place for irritability (23%).
The Paleo diet was the top-rated diet for tics, self-injury and OCD at 10% for each.
The SCD was in the top three diets for anxiety (19%), social interaction (14%), and
stimming (14%).
J. Pers. Med. 2023, 13, 1448 11 of 34
J. Pers. Med. 2023, 13, 1448 12 of 34
J. Pers. Med. 2023, 13, 1448 13 of 34
Figure 3. Diets Ranked by Symptom Improvement.
Tab l e 5. Summary of Top 5 Diets for Each Symptom (% of dietary users that reported that the diet
improved that symptom).
Symptom Improvement Top Diets
Aggression
1. Feingold (34%)
2. Low Sugar (23%)
3. Food Avoidance, observation (21%)
4. Ketogenic (19%)
J. Pers. Med. 2023, 13, 1448 14 of 34
5. GFCF (17%)
Anxiety
1. Ketogenic (33%)
2. Feingold (28%)
3. Specic Carbohydrate Diet (19%)
4. Low Sugar (18%)
5. Food Avoidance, observation (16%)
Aention
1. Ketogenic Diet (43%)
2. Feingold (37%)
3. GFCF (31%)
4. Low Sugar (25%)
5. Specic Carbohydrate Diet (24%)
Cognition
1. Ketogenic (38%)
2. GFCF (29%)
3. Feingold (28%)
4. Specic Carbohydrate Diet (22%)
5. Low Sugar (18%)
Constipation
1. Ketogenic (24%)
2. Corn-free (22%)
3. GFCF (19%)
4. Paleo (19%)
5. Healthy (17%)
Depression
1. Ketogenic (14%)
2. Food Avoidance, observation (11%)
3. Paleo (10%)
4. Healthy (8%)
5. Low Sugar (6%)
Diarrhea
1. Corn-free (26%)
2. GFCF (22%)
3. Food Avoidance, observation (21%)
4. Specic Carbohydrate Diet (19%)
5. Gluten-free (18%)
Eczema/skin problems
1. Food Avoidance, IgG/IgE (22%)
2. Food Avoidance, observation (22%)
3. GFCF (20%)
4. Ketogenic (14%)
5. Casein-free (13%)
Health
1. Healthy (24%)
2. Food Avoidance, observation (24%)
3. Low Sugar (20%)
4. GFCF (20%)
5. Feingold (19%)
Hyperactivity
1. Feingold (45%)
2. Low Sugar (43%)
3. GFCF (22%)
4. Food Avoidance, observation (18%)
5. Ketogenic (14%)
Irritability
1. Feingold (38%)
2. Ketogenic (29%)
3. Low Sugar (23%)
4. Food Avoidance, observation (23%)
5. GFCF (20%)
Language/Communication
1. Ketogenic (29%)
2. GFCF (25%)
3. Gluten-free (15%)
4. Feingold (14%)
5. Specic Carbohydrate Diet (14%)
J. Pers. Med. 2023, 13, 1448 15 of 34
Lethargy
1. Ketogenic (19%)
2. Food Avoidance, observation (10%)
3. Paleo (10%)
4. Healthy (5%)
5. Low Sugar (5%)
OCD
1. Paleo (10%)
2. Ketogenic (10%)
3. Feingold (7%)
4. Food Avoidance, IgG/IgE (6%)
5. Low Sugar (6%)
Reux/Vomiting
1. Food Avoidance, observation (16%)
2. Food Avoidance, IgG/IgE (13%)
3. Paleo (10%)
4. Ketogenic (10%)
5. GFCF (9%)
Seizures
1. Ketogenic (19%)
2. Paleo (5%)
3. Specic Carbohydrate Diet (3%)
4. GFCF (2%)
5. Soy-free (2%)
Self-injury
1. Paleo (10%)
2. Ketogenic (10%)
3. Feingold (8%)
4. GFCF (7%)
5. Low Sugar (5%)
Sensory sensitivity
1. Feingold (22%)
2. GFCF (19%)
3. Food Avoidance, observation (17%)
4. Paleo (14%)
5. Food Avoidance, IgG/IgE (13%)
Sleep (falling)
1. Feingold (19%)
2. Ketogenic (19%)
3. Low Sugar (11%)
4. GFCF (11%)
5. Food Avoidance, observation (11%)
Sleep (staying)
1. Feingold (15%)
2. Ketogenic (14%)
3. Food Avoidance, observation (11%)
4. Low Sugar (10%)
5. GFCF (10%)
Social Interaction and Understanding
1. Ketogenic (29%)
2. GFCF (22%)
3. Specic Carbohydrate Diet (14%)
4. Feingold (12%)
5. Food Avoidance, observation (11%)
Stimming/Perseveration/Desire for
Sameness
1. GFCF (19%)
2. Ketogenic (19%)
3. Specic Carbohydrate Diet (14%)
4. Food Avoidance, observation (13%)
5. Feingold (11%)
Tics
1. Paleo (10%)
2. GFCF (6%)
3. Food Avoidance, IgG/IgE (4%)
4. Casein-free (4%)
5. Feingold (3%)
J. Pers. Med. 2023, 13, 1448 16 of 34
Table 6 shows the symptoms that improved 10% or more for each diet. Dierent diets
were reported as benecial for dierent symptoms.
Table 6. Top Symptom Improvements for Each Diet with at Least 10% of Respondents Improving.
Therapeutic Diets Top Symptom Improvement (% of Participants with
Improvement)
Healthy Diet
General benet 67%
Health 24%
Constipation 17%
Aention 12%
Cognition 12%
Irritability 12%
Anxiety 11%
Hyperactivity 11%
Diarrhea 10%
Sleep (falling) 10%
Feingold Diet
Hyperactivity 45%
General benet 41%
Irritability 38%
Aention 37%
Aggression/Agitation 34%
Anxiety 28%
Cognition 28%
Sensory sensitivity 22%
Health 19%
Sleep (falling) 19%
Sleep (staying) 15%
Constipation 14%
Language/Communication 14%
Social Interaction and Understanding 12%
Eczema/Skin problem 11%
Stimming/Perseveration/Desire for Sameness 11%
Food Avoidance Diet, Based on
IgG/IgE Testing
General benet 43%
Eczema/Skin problem 22%
Health 15%
Reux/vomiting 13%
Sensory sensitivity 13%
Anxiety 11%
Aention 11%
Cognition 11%
Constipation 11%
Hyperactivity 11%
Irritability 11%
Low Sugar Diet
Hyperactivity 43%
General benet 39%
Aention 25%
Aggression/Agitation 23%
Irritability 23%
Health 20%
Anxiety 18%
Cognition 18%
J. Pers. Med. 2023, 13, 1448 17 of 34
Sensory sensitivity 11%
Sleep (falling) 11%
Language/Communication 10%
Sleep (staying) 10%
GFCF Diet
General benet 39%
Aention 31%
Cognition 29%
Language/Communication 25%
Diarrhea 22%
Hyperactivity 22%
Social Interaction and Understanding 22%
Eczema/Skin problem 20%
Health 20%
Irritability 20%
Constipation 19%
Sensory sensitivity 19%
Stimming/Perseveration/Desire for Sameness 19%
Aggression/Agitation 17%
Anxiety 15%
Sleep (falling) 11%
Sleep (staying) 10%
Food Avoidance Diet, Based on
Observation
General benet 32%
Health 24%
Irritability 23%
Aention 22%
Eczema/Skin problem 22%
Aggression/Agitation 21%
Diarrhea 21%
Cognition 18%
Hyperactivity 18%
Constipation 17%
Sensory sensitivity 17%
Anxiety 16%
Reux/vomiting 16%
Stimming/Perseveration/Desire for Sameness 13%
Language/Communication 12%
Depression 11%
Sleep (falling) 11%
Sleep (staying) 11%
Social Interaction and Understanding 11%
Lethargy (easily tired) 10%
Corn-Free Diet
General benet 44%
Diarrhea 26%
Constipation 22%
Aggression/Agitation 17%
Anxiety 11%
Cognition 11%
Eczema/Skin problem 11%
Hyperactivity 11%
Specic Carbohydrate Diet General benet 57%
Aention 24%
J. Pers. Med. 2023, 13, 1448 18 of 34
Cognition 22%
Anxiety 19%
Diarrhea 19%
Health 16%
Irritability 16%
Language/Communication 14%
Social Interaction and Understanding 14%
Stimming/Perseveration/Desire for Sameness 14%
Aggression/Agitation 11%
Hyperactivity 11%
Sensory sensitivity 11%
Casein-Free Diet
General benet 28%
Cognition 17%
Aention 16%
Constipation 16%
Aggression/Agitation 14%
Diarrhea 14%
Eczema/Skin problem 13%
Health 13%
Language/Communication 13%
Hyperactivity 11%
Anxiety 10%
Irritability 10%
Social Interaction and Understanding 10%
Soy-Free Diet
General benet 45%
Diarrhea 16%
Health 11%
Aggression/Agitation 10%
Irritability 10%
Paleo Diet
General benet 57%
Aention 19%
Constipation 19%
Irritability 19%
Anxiety 14%
Cognition 14%
Diarrhea 14%
Health 14%
Sensory sensitivity 14%
Aggression/Agitation 10%
Depression 10%
Eczema/Skin problem 10%
Hyperactivity 10%
Language/Communication 10%
Lethargy 10%
OCD 10%
Reux/vomiting 10%
Self-injury 10%
Sleep (falling) 10%
Sleep (staying) 10%
Social Interaction and Understanding 10%
Stimming/Perseveration/Desire for Sameness 10%
J. Pers. Med. 2023, 13, 1448 19 of 34
Tics/abnormal movements 10%
Ketogenic Diet
Aention 43%
General benet 38%
Cognition 38%
Anxiety 33%
Irritability 29%
Language/Communication 29%
Social Interaction and Understanding 29%
Constipation 24%
Lethargy 19%
Sleep (falling) 19%
Seizures 19%
Aggression/Agitation 19%
Health 19%
Stimming/Perseveration/Desire for Sameness 19%
Depression 14%
Diarrhea 14%
Eczema/Skin problem 14%
Hyperactivity 14%
Sleep (staying) 14%
OCD 10%
Reux/vomiting 10%
Sensory sensitivity 10%
Self-injury 10%
Gluten-Free Diet
General benet 36%
Aention 18%
Cognition 18%
Diarrhea 18%
Irritability 16%
Constipation 15%
Language/Communication 15%
Aggression/Agitation 12%
Health 12%
Anxiety 11%
Eczema/Skin problem 11%
Social Interaction and Understanding 11%
Stimming/Perseveration/Desire for Sameness 11%
Hyperactivity 10%
3.7. Comparison of Diets with Nutraceuticals and Medications
The Overall Benet scores averaging over all the therapeutic diets were compared
with the average ratings for nutraceuticals [51] and psychiatric/seizure medications [52]
reported previously. The average Overall Benet of diets was 2.36, substantially higher
than for nutraceuticals (1.59, p < 0.001), or psychiatric/seizure medications (1.39, p < 0.001).
The average Overall Adverse Eects of diets was 0.10, similar to that for nutraceuticals
(0.16), and much lower than that for psychiatric/seizure medications (0.93, p < 0.001).
3.8. Correlations between Strictly Following Diet, Advice Received, and Overall Benet of Diet
Positive correlations were found between how strictly diets were followed and the
Overall Benet users received from the diet. The following seven diets had correlations
between how strictly they were followed and the Overall Benet rating of the diet: SCD
J. Pers. Med. 2023, 13, 1448 20 of 34
(rs = 0.45, p = 0.008), Food avoidance based on observation (0.40, p < 0.001), GFCF (rs = 0.30,
p < 0.001), gluten-free (rs = 0.32, p < 0.001), casein-free (rs = 0.26, p = 0.004), low sugar (rs = 0.25,
p = 0.015) and a Healthy diet (rs = 0.17, p = 0.003). These correlations indicated low to mod-
erate positive correlations that were statistically signicant, and all correlations suggest
that more strictly following these diets resulted in slightly beer outcomes.
There were also positive correlations between the amount of advice they received
and how strictly the diets were followed for Paleo, gluten-free, food avoidance based on
observation, casein-free, food avoidance based on IgG/IgE, GFCF, Healthy, and Low
Sugar diets. Correlations were low to moderate ranging from rs = 0.21–0.49 (p < 0.05).
There were low to moderate positive correlations between the amount of advice re-
ceived and Overall Benet from diet for food avoidance based on observation, gluten-free
Healthy, and GFCF diets with rs ranging 0.14–0.42 (p < 0.05).
In summary, more advice was associated with stricter following of the diets, and
stricter following of the diets was associated with slightly beer outcomes.
3.9. Change in Autism Severity between Participants Who Used Diet vs. Those Who Did Not
Of the 818 participants in this study, 486 used therapeutic diet(s) and 332 did not use
therapeutic diets. The change in autism severity between each participant at 3 years of age
and at the current time of the survey was calculated for the diet group and non-diet group.
Severity of autism at 3 years of age in the non-diet group was 3.33 vs. 3.50 at the current
time of the survey, and severity of autism at 3 years of age in the diet group was 3.59 vs.
3.54 at the current time of the survey. The mean of change in autism severity for those that
used diet was 0.05 (indicating a decrease in severity), and those that did not use diet was
0.18 (increase in severity). The Mann–Whitney U test showed that there was a signicant
improvement in autism severity in the diet group compared to those that did not use diet
(p < 0.001).
4. Discussion
This paper highlighted the results of a survey of 18 therapeutic diets used by indi-
viduals with ASD. It reported the responses of the perceived benets and adverse eects
of the 13 diets that had over 20 responses. On average, the diets had a moderate to good
benet (2.36/4.0) with very small adverse eects (0.10/3.0).
Participants tried an average of 2.6 diets. However, the survey did not ask whether
the individuals had used the diets simultaneously or not, so the study was not able to
determine if some of the reported therapeutic diet results were due to diets used in com-
bination.
Top symptom improvements reported in this study, averaging over all therapeutic
diets, included aention, irritability, cognition, health, hyperactivity, aggression/agita-
tion, anxiety, diarrhea, constipation, and language. The results were consistent with a
meta-analysis of the GFCF diet for ASD, which reported signicant improvements in ste-
reotypical autism behaviors and cognition [34]. Additionally, a meta-analysis on thera-
peutics diets for ASD, including the GFCF, gluten-free, and ketogenic diets, found im-
provements in the core symptoms of autism, as well as nding them safe and eective
[53]. However, most of the diets have not been formally evaluated.
The symptom improvement of “general benet” is the highest improvement in al-
most all cases. This symptom improvement is very broad and unspecic and is probably
more prone to the placebo eect. As such, it is dicult to interpret this response, although
the higher percentage suggests that some general benet did occur. Improvement with
rare symptoms is underestimated, as not everyone doing the diet will have these symp-
toms. For example, around 12% of children with ASD experience seizures, reaching 26%
by adolescence [54]; therefore, the eect on seizures is likely underreported for most diets,
except for those that are specically used for seizures such as the ketogenic diet.
J. Pers. Med. 2023, 13, 1448 21 of 34
4.1. Diet Surveys
This study found similar results to other survey research, which found the top areas
of improvement from dietary intervention in ASD were behavior, communication, and
health [10]. Three of the top nine symptom improvements were in these areas. This study
also found consistent ndings with another survey by Hopf et al. [9], with both studies
observing that the GFCF diet was the most commonly used diet. The Hopf survey also
found the low sugar, gluten-free, and Feingold diet were commonly used and had good
results as did this study. However, this study had dierences because it was solely focused
on dietary interventions and gathered data on many more therapeutic diets. Rimland and
Edelson conducted a survey of over 27,000 participants in 2009 on medications, nutraceu-
ticals, and diets, and also found positive benets from diet with low incidence of adverse
eects, but did not specify the symptoms aected [50]. The results included the following
diets and percentage of individuals who reported changes (“got beer”/“got worse”) with
the diet: candida diet (58%/3%), Feingold diet (58%/2%), GFCF diet (69%/3%), low oxalate
diet (50%/7%), removed chocolate (52%/2%), removed eggs (45%/2%), removed milk
products/dairy (55%/2%), removed sugar (52%/2%), removed wheat (55%/2%), rotation
diet (55%/2%), and Specic Carbohydrate Diet (71%/7%).
4.2. Therapeutic Diets
4.2.1. Healthy Diet
Healthy diet was dened as a diet high in the intake of vegetables, fruit, and protein
and low in junk food. A Healthy diet was shown to be very benecial with the highest net
benet (2.7) of all diets in the study, with no adverse eects reported. A Healthy diet was
rated highest for improving health. A Healthy diet was also benecial for improving con-
stipation and symptoms of behavior and brain function such as aention, cognition, irri-
tability, anxiety, and hyperactivity. Other research support these ndings. Children with
ASD were found to have a higher percentage of insucient and unbalanced intake of
healthy foods compared to typically developing children, with signicantly less intake of
fruit and less variety, and this was associated with lower working memory [55]. In chil-
dren with ASD, a healthy diet consisting of higher consumption of vegetables, fruit, leg-
umes, nuts and seeds and lower sugar was associated with a more benecial gut microbi-
ome and beer GI symptom scores, while a diet with a lower intake of healthy foods was
associated with a less benecial microbiome and worse GI symptoms [56].
This poor dietary intake appears to be in part due to picky eating in children with
ASD. Atypical eating behaviors were signicantly greater in children with autism com-
pared with typically developing children. Atypical eating behaviors were present in 70%
of children with autism and 14.2 times more likely than in typical children [57]. Restricted
food variety and food texture hypersensitivity were two of the top atypical eating pat-
terns. In another study, food refusal was signicantly higher in children with ASD with
oral sensory sensitivity [58]. In a third study of children with ASD, 67% had atypical eating
behaviors, 90% had one or more food intolerance as measured by IgG antibodies (to eggs,
milk, and wheat), and 80% had GI symptoms [59].
While no randomized controlled trials have been performed on a Healthy diet alone
for ASD, a randomized controlled trial that included a Healthy diet as part of a gluten-
free, casein-free, and soy-free (GFCFSF) diet, along with substantial micronutrient sup-
plementation, reported good results overall, and the healthy GFCFSF diet was rated the
third most eective of the six treatments in the study [49].
4.2.2. Feingold Diet
In this survey, the Feingold Diet was dened as a diet with no articial colors, avors,
or preservatives. The Feingold diet is also low in naturally occurring salicylates, a food
compound similar to aspirin which some people are sensitive to [60,61], found in foods
such as almonds, apples, berries, grapes, orange, peaches, cucumbers, pickles, and mint.
J. Pers. Med. 2023, 13, 1448 22 of 34
The Feingold diet was the second highest rated diet in the study, with a net benet
score of 2.6 and no adverse eects. This study is consistent with the ndings of the Hopf
et al. survey, where the Feingold Diet was rated by parents higher than the GFCF diet and
the Low Sugar diet [9]. The Feingold diet was rated rst in six areas, particularly those
related to behavior and energy regulation, including hyperactivity, irritability, aggression,
sensory sensitivity, falling sleep, and staying asleep, as well as in the top three for aen-
tion, cognition, and anxiety.
In a published journal article by Dr. Ben Feingold, the creator of the diet, he stated
that roughly 50% of children with hyperactivity and learning disabilities improve with
the Feingold diet [40]. In his experience as a pediatric allergist, he found improvements
happened in this order: hyperactivity, aention, aggression, impulsivity, writing, speech,
clumsiness, cognition, and perception with the diet. This is consistent with this study,
where parents reported that 45% showed improvement in hyperactivity, 34–38% showed
improvements in irritability, aention, and aggression/agitation, 28% showed improve-
ments in anxiety and cognition, and 19% or more showed improvements in sensory sen-
sitivity and the ability to fall asleep.
A large randomized controlled trial also showed that articial additives of preserva-
tives and articial colors in levels typically consumed in the diet caused signicant hyper-
activity in 3-year-olds and 8/9-year-olds, typically developing children, compared to pla-
cebo [62].
Salicylates are phenolic compounds, and phenols are catalyzed through sulfation by
the phenol sulfotransferase (PST) enzyme requiring adequate sulfate [63]. Children with
ASD are very low in sulfate and lack the ability to sulfate [16,63], so it is likely that this is
a mechanism of action that makes this diet particularly benecial.
A potential limitation in this study is the Feingold diet denition was not thorough,
as it did not mention salicylates are removed in this diet. So, it is dicult to determine if
participants were responding to a diet with no articial additives or a diet that also re-
duced salicylates.
4.2.3. Gluten and Casein Free Diets
This study separately evaluated a casein-free diet, a gluten-free diet, and a combina-
tion of a gluten-free and casein-free diet. The combined gluten-free/casein-free (GFCF)
diet showed slightly higher net benet (2.3) compared to either the casein-free diet (2.1)
or gluten-free diet (1.9) alone. When looking at all symptom improvements, the GFCF diet
substantially outranked the gluten-free diet and the casein-free diet individually in all
symptoms. This may be because similar mechanisms of action are at play with gluten and
casein. For example, research has shown high opioid compounds [33], IgG levels [28], and
inammatory markers [64] to both gluten and casein in ASD. If individuals react to both
food proteins, it is likely they benet most from removing both.
Some of the top symptom improvements for the GFCF diet in this survey were aen-
tion, cognition, language/communication, diarrhea, hyperactivity, and social interaction.
The top diet for stimming/perseveration/desire for sameness was the GFCF diet. Random-
ized controlled trials show consistent results. While identifying high opioids from gluten
and/or casein in children with ASD, researchers found signicant improvements with a
GFCF diet compared to controls in aention, cognition, non-verbal communication, lan-
guage, aloofness, routines and rituals, learning, peer-relations, anxiety, empathy, physical
contact, eye contact, sociability, sensory/motor function, and judgement of danger [65].
Children with ASD on a GFCF diet for 12 months had statistically signicant improve-
ments over baseline in communication, social interaction, inaentiveness, and hyperac-
tivity [66]. In research that found high levels of IgG antibodies to gluten and casein in a
vast majority of children with ASD, 81% of individuals improved in 3 months on a gluten-
free/casein-free diet in most of the behaviors studied [28].
Results of a gluten-free only diet in children with ASD showed signicant improve-
ments in gastrointestinal symptoms and behavior compared to baseline [67], and was
J. Pers. Med. 2023, 13, 1448 23 of 34
consistent with results from this survey. However, another study on the gluten-free diet
did not nd improvement in GI or ASD symptoms [68]. High-zonulin levels, which are an
indication of intestinal permeability, are found in ASD, which can be caused by exposure
to gluten as well as other stressors, and high zonulin was associated with a higher severity
of autism [69], and may explain why some individuals nd the gluten-free diet helpful.
Also, consistent with this study, the gluten-free diet was found to improve social interac-
tions in a meta-analysis of therapeutic diets for ASD; however, the meta-analysis did not
nd improvements in cognition and language/communication, as this study did [53]. A
casein-free only diet for children with autism for 8 weeks resulted in signicant improve-
ment in behavior [70]. So, while a combined gluten-free/casein-free diet showed the best
results, both individual gluten-free and casein-free diets showed improvement alone as
well. The underlying factors that aect an individual likely inuence whether a gluten-
free and/or casein-free diet is best.
A common concern about a casein-free diet for ASD is possible calcium deciency.
Children with ASD on a GFCF diet have been found to consume signicantly lower
amounts of calcium than those on a regular diet [71]. However, children with ASD on a
regular diet also have lower calcium levels in the body. In a study of children with ASD,
where 84% were on a regular diet, the children with ASD had signicantly lower levels of
Red Blood Cell (RBC) calcium (14% lower) compared to neurotypical children, and 31%
were below the reference range [16]. A follow-up randomized controlled trial study of a
multivitamin/mineral formula with a modest amount of calcium resulted in a 43% in-
crease in RBC calcium levels (bring it above the neurotypical control group level) [72].
Therefore, these results suggest that focusing on a healthy casein-free diet (and consider-
ing a multivitamin/mineral formula with calcium when needed) may be the best way to
obtain the benets of a casein-free diet and meet nutritional needs.
4.2.4. Low Sugar Diet
The Low Sugar diet was the fourth highest rated diet with a net benet rating of 2.4.
One reason a Low Sugar diet may be benecial is because it provides beer balance of
blood sugar [73]. High sugar can also cause and contribute to inammation [74], and a
mouse study shows sugar may be particularly detrimental (to glucose metabolism and
cardiometabolic risk) when mitochondrial dysfunction is present [75], which is common
in children with autism [24]. A Low Sugar diet was the second-best diet for reducing hy-
peractivity (43%, a percentage very similar to the Feingold diet) and for reducing aggres-
sion/agitation. Additional behavioral and emotional symptoms that improved on a Low
Sugar diet included aention, irritability, anxiety, and cognition. This is consistent with a
study on children with ASD where researchers observed an association between a higher
consumption of sugar sweetened beverages and emotional problems scores [76].
A Low Sugar diet may also be benecial because of the negative eect sugar can have
on gastrointestinal health, and especially the eect on overgrowth of certain bacteria and
yeast [19,20]. In a cohort study of men and women (without autism), individuals that con-
sumed greater than one sugar sweetened beverage per day were at signicantly higher
risk of inammatory bowel disease (IBD) and Crohn’s disease than those that did not con-
sume them [77]. While these inammatory bowel diseases are more severe than what is
typically seen in ASD, gastrointestinal symptoms are common in 49% of individuals with
ASD [78]. Therefore, avoiding foods that may contribute to gastrointestinal disorders,
such as sugar, seem warranted, especially given all the other benets reported. However,
improvements in diarrhea and/or constipation were only found in only 8–9% of individ-
uals on a Low Sugar diet, so improving other aspects of the diet may be more important
for gastrointestinal support.
J. Pers. Med. 2023, 13, 1448 24 of 34
4.2.5. Soy-Free, Corn-Free and Food Avoidance Diets
Soy-Free Diet
A soy-free diet had an Overall Benet rating of 2.1 with no adverse eects. This diet
is often implemented with a gluten-free and casein-free diet with benecial results [49].
This is because soy can produce opioid compounds like gluten and casein [79], and soy
can be inammatory to some individuals with ASD. A study of children with ASD evalu-
ated cytokine production to dietary proteins, and while cytokine production for soy was
not signicant, 7 out of 75 children with ASD and GI symptoms had elevated IFN-γ levels
to soy [80]. In a study of children with autism spectrum disorder, a gluten-free, casein-
free, and soy-free (GFCFSF) or casein-free and soy-free diet was implemented depending
on food reactivity testing [81]. That study found that children with ASD and GI symptoms
had signicantly higher IL-12 (pro-inammatory cytokine) and signicantly lower IL-10
(anti-inammatory cytokine) than those without GI symptoms, and they produced signif-
icantly less IL-10 in the unrestricted diet than the elimination diet.
While this present study only showed 2% of individuals having improvements in
seizures from a soy-free diet, this is possibly due to a smaller number of people having
this symptom to start. Individuals with ASD who were fed soy formula as infants were
2.6 times more likely to have febrile seizures compared to those that were not fed soy
formula, 2.1 times more likely to have epilepsy, and 4 times more likely to have simple
partial seizures [82]. While this study was on the development of seizures from the con-
sumption of soy formula as infants, it may be judicious to avoid soy in cases of seizures
when there are other non-dairy and non-soy substitutes available.
One concern about soy and corn products is that over 95% of soy and corn in the US
is genetically modied to be more resistant to pesticides, so that higher amounts of pesti-
cides are used on those products, resulting in higher exposure to the child [83].
Corn-Free Diet
There are no known studies to date on a corn-free diet for ASD. The corn-free diet
was ranked in the middle for benet with a score of 2.2 and no adverse eects. However,
it scored very high for diarrhea (26% improved) and constipation (22% improved). For the
symptoms of diarrhea and constipation, the corn-free diet was the top diet for diarrhea
and second for constipation. One concern with corn products is that they can be contami-
nated with aatoxins due to fungi growth during storage [84], as well as the concern about
pesticides mentioned above.
Food Avoidance, Based on IgG/IgE Testing
A food avoidance diet based on IgG/IgE testing had the second highest net benet
score (2.6) along with the Feingold diet, and scored the second highest for improvements
in eczema/skin problems and reux/vomiting. Behavior and other symptoms improved
including hyperactivity, irritability, aention, cognition, anxiety, sensory sensitivity, and
health. Of the studies conducted on elevated IgG levels to foods in ASD, the most common
improvements found were related to behavior.
In a study of children with ASD, 90% had at least one IgG food sensitivity [59]. Eggs
were the top sensitivity (84% testing reactive), along with milk and wheat, and IgG anti-
bodies were correlated with stereotyped autism behaviors. IgG antibodies to gliadin were
reported in 87% of children with autism and 90% to casein [28]. In another study, anti-𝛼-
gliadin (AGA) and anti-deamidated 𝛼-gliadin IgG levels were signicantly higher in chil-
dren with ASD on a regular diet, and AGA-IgG was lower on the GFCF diet. Casein IgG
was also signicantly higher in children with ASD [85]. Researchers have used IgG testing
for gluten, casein, and soy to determine which food elimination diet to implement, and
found improvement in inammatory markers when the diet was used [81]. In a previously
mentioned study, researchers found high-IgG levels for casein, as well as other
J. Pers. Med. 2023, 13, 1448 25 of 34
immunoglobulin levels for casein and proteins in dairy in children with autism at base-
line, and found behavioral improvement with a casein-free diet [70].
Food Avoidance Diet, Based on Observation
A food avoidance diet based on observation was ranked in the middle of the group
with a 2.2 net benet rating and ranked rst for reux/vomiting. This makes sense since
most individuals with ASD and/or their caregivers may notice reux or vomiting soon
after consuming a food that is problematic. An acute symptom such as this would be no-
ticed and reported on this survey. However, there are no studies on food avoidance based
on observation in ASD as this is a subjective measurement.
4.2.6. Grain-Free and Carbohydrate Limiting Diets
Ketogenic Diet
The ketogenic diet is the second most researched diet in autism spectrum disorder
after the GFCF diet. This is likely due to the clinical success in using of the ketogenic diet
for pediatric seizures [86] and the increased incidence of epilepsy in ASD. Specically, one
study reported that the average prevalence of epilepsy in children with ASD between 2
and 17 years old was 12%, with the rate rising to 26% in adolescents 13 years of age and
older [54]. It is also a diet used in mitochondrial disease to improve mitochondrial func-
tion [87]; therefore, with mitochondrial dysfunction occurring as a co-morbid condition in
ASD, it is believed to be benecial for these individuals.
The ketogenic diet had a good Overall Benet score of 2.4, but a higher Overall Ad-
verse Eects score (0.4) than most diets, resulting in a lower Net Benet score than most
diets. However, it is ranked the highest in nine symptoms, particularly those involving
cognitive and brain function including aention, cognition, anxiety, language/communi-
cation, social interaction and understanding, seizures, and depression, as well as lethargy
(related to mitochondrial function), and constipation.
Research shows consistent results with the ndings of this survey. In a randomized
controlled trial of children with ASD, the Modied Atkins Diet (a form of ketogenic diet)
resulted in statistically signicant improvements in Childhood Autism Rating Scale
(CARS) and Autism Treatment Evaluation Checklist (ATEC) scores, with the biggest im-
provements in cognition, speech, and social interaction [38]. These results were consistent
with the top three improvements found in this study. In another study, a modied keto-
genic diet with medium chain triglycerides (MCT) over 3 months provided a statistically
signicant improvement in autism symptoms, and the subcategory of social aect com-
pared to baseline [35]. In a non-randomized controlled trial of children with ASD, after 3
months on a ketogenic diet containing MCT, which was also gluten-free, researchers
found statistically signicant increases in ketones and acetylcarnitine (markers of im-
proved mitochondrial function) [88].
It should be noted that the ketogenic diet is an extreme diet and should be performed
under the supervision of an experienced nutritionist and/or physician.
Specic Carbohydrate Diet
The Specic Carbohydrate Diet had a net benet of 2.2 (starting with an Overall Ben-
et of 2.4 minus 0.2 Overall Adverse Eects). SCD was ranked second in general benet
with 57% of people using the diet reporting general improvements. In total, 24% reported
improvements in aention, 22% in cognition, 19% in anxiety and diarrhea, along with im-
provements in health, irritability, language/communication, social interaction, stimming,
aggression, hyperactivity, and sensory sensitivity.
The Specic Carbohydrate Diet was rst used and published by Drs. Sidney Haas
and Merrill Haas in 1955 for pediatric celiac disease. In this case, the report showed that
out of 191 children, 177 children had diarrhea, and 73 were able to control it within one
month with SCD and all 177 by 14 months [89]. The diet focuses on the consumption of
J. Pers. Med. 2023, 13, 1448 26 of 34
monosaccharides, and the avoidance of disaccharides and polysaccharides [89]. Disaccha-
rides and polysaccharides require carbohydrate digesting enzymes, and researchers have
found reduced levels of one or more carbohydrate digestive enzymes in 58% of children
with ASD that had gastrointestinal symptoms [31]. A reduction in disaccharidase activity
has been found to contribute to dysbiosis and gastrointestinal symptoms such as diarrhea
in ASD [32]. This survey found the diet was benecial for diarrhea in 19% of participants
that used it. As it is unknown what percentage had diarrhea to begin with, this number
likely underrepresents those that had the symptom that improved.
In a case report of a 4 year old boy with ASD with gastrointestinal problems, after he
was placed on the Specic Carbohydrate Diet his gastrointestinal symptoms improved,
along with his behavior and nutrient levels [90]. A non-randomized controlled trial of
children with ASD on a SCD/GAPS diet plus omega 3s, ascorbyl-palmitate, probiotics,
vitamin D3, and vitamin C for three months found improvements in autism symptoms
[39] similar to this study. In the diet treatment group, ATEC (Autism Treatment Evaluation
Checklist) scores decreased by 23% from baseline with the most signicant improvements
in health/behavior, socializing, irritability, and hyperactivity, as well as Parent Global Im-
pressions—Revised 2 improved signicantly in 43% of the diet group vs. 14% of the con-
trol group.
Paleo
While the Paleo diet was not a top ranked diet for Overall Benet, it was the number
one rated diet in three areas: OCD, self-injury and tics. Since these are less common symp-
toms, the eect of this diet on those symptoms may be underestimated. For example, 22%
of individuals with autism have a tic disorder [91], and 10% of those on a Paleo diet had
improvement in tics. This suggests that the Paleo diet may be very benecial for tics. It is
also possible that, because of the relatively small number of respondents to the Paleo diet,
the results are not representative of the broader ASD population.
There is no published research known to date for the Paleo diet for ASD, but this
study suggests the diet is worthy of further research given the similarities (although some
dierences) with other benecial grain-free diets such as SCD, and its benet for mental
health and neurological symptoms.
4.3. Personalized Nutrition for a Heterogeneous Condition
This study found that many diets may be helpful in autism spectrum disorder, and
dierent diets appear to be beer for addressing dierent underlying factors and aecting
dierent symptoms. Researchers believe that because ASD is a heterogeneous condition;
therefore, a personalized approach to therapeutic interventions is needed to provide the
most eective treatments [3,92], including personalized nutrition and diet strategies
[44,45]. The best diet for the individual may depend on a variety of factors.
Additionally, when diets are used in combination, it is possible greater benets may
result. For example, people benet from a GFCF diet more than a GF or CF diet alone, on
average. Furthermore, in the case report, a gluten-free/casein-free and ketogenic diet used
together was very benecial, where the gluten-free/casein-free diet provided benet ini-
tially, and then a ketogenic diet was added later [13]. Many other diet combinations are
possible, such as combining a Healthy diet, Low Sugar diet, and any of the other exclusion
diets.
Most therapeutic diets are based around the exclusion of certain foods, often based
on underlying factors that may contribute to reactions to the foods or food compounds.
This study also highlighted the importance of focusing on what to include in the diet,
particularly healthy nutrient-rich foods. Therefore, a personalized nutrition plan should
both exclude problematic foods and include healthy ones.
J. Pers. Med. 2023, 13, 1448 27 of 34
4.4. Performance of Diets vs. Nutraceuticals and Medications
Because this survey gathered information on diets, nutraceuticals, and medication
with the same rating scales, these treatments were able to be compared directly to one
another. Diet rated signicantly higher than both nutraceutical and medications with very
low adverse eects. The data also suggests that dietary interventions are widely used for
individuals with ASD. Therefore, this study suggests that much more research is war-
ranted on therapeutic diets, including studies on how to determine which diet(s) are most
eective for an individual.
Diet is also an intervention that all families have access to regardless of location and
with only modest resources. Even on a moderate budget, families can choose the healthi-
est food options they have available and can often avoid gluten- and dairy-based foods
without a large expense by focusing on whole foods and avoiding expensive processed
foods. Feeding their child is an empowering act parents are already responsible for on a
daily basis, so parents should be encouraged by their physicians and nutritionists to ex-
plore dietary intervention. Since most physicians actually receive very lile nutrition ed-
ucation in medical school [93], it is recommended that families nd a physician who has
that training and/or work with a nutritionist experienced with therapeutic diets for autism
spectrum disorder.
4.5. Correlations of Strict Adherence to Diet and Dietary Benet
There were statistically signicant low-to-moderate positive correlations found be-
tween those who strictly followed a therapeutic diet and the Overall Benet score of the
diet. This suggests that the more strictly someone follows the diet, the beer results and
symptom improvement they will receive. This is signicant, as this supports other re-
search [94] and highlights a possible way to get beer results with therapeutic diets. It also
may suggest that the more benet a family sees, the more strictly they follow the diet, and
we suspect both are true.
There were also low-to-moderate positive correlations between the amount of advice
individuals received and how strictly they followed the diets, as well as correlations be-
tween the amount of advice received and Overall Benet from diet. In the survey, the level
of advice received had four levels: no advice; limited information; some advice from a
reliable source including a nutritionist, physician, book, website; and ongoing personal
support from a qualied nutritionist. This suggests that the more advice an individual
receives the more strictly they do the diet, and the more strictly the follow the diet the
beer benets they receive. While all these correlations were not found in each of the diets,
they were all present in the food avoidance based on observation, gluten-free, and Healthy
diet, and all variables were not needed to have beneted from the diet. Since geing more
advice and following the diet more strictly led each to beer benets, families that want
to do a specic diet should be encouraged to seek out advice and follow the diet as strictly
as possible.
Given that not everyone followed the diet strictly, it is possible that these Overall
Benet ratings are underestimated, and that the true benet of the diet is higher when
someone follows it strictly. Additionally, because the highest level of following the diet
was considered an infraction less than once a week, this still provides a lot of potential for
infractions. If there had been another level, such as infraction once per month, it is possible
the correlation could have been stronger.
4.6. Change in Autism Severity with Therapeutic Diets
This study found there was a signicant improvement in autism severity between
age 3 years old and the current time of the survey compared to those that did not use
dietary intervention. This data indicates that therapeutic diets can improve autism sever-
ity over time. Individuals with autism in this survey included a wide range of ages from
under 3 years old to over 60 years old. Since most of these individuals were much older
J. Pers. Med. 2023, 13, 1448 28 of 34
than 3 years old, this study shows that diet may be able to provide long term and lasting
improvements.
4.7. Diet Therapy Is Cost Eective
Implementing a therapeutic diet is relatively low-cost compared to many therapies,
such as behavior therapy, which can require several hours/day, several days/week, for
years with annual costs in the tens of thousands of dollars. In contrast, diet therapies can
be implemented with minimal cost, especially if preparing foods from raw ingredients
instead of relying on processed foods. However, they require extra learning by the food
preparer. Since most families do not have nutrition training, it is strongly recommended
that families work with nutritionists who are familiar with these diets and how to best
implement them. This is especially important to improve diet compliance for children
who are picky eaters. Enhanced understanding of the diets is likely to result in beer ad-
herence and beer eectiveness.
A nutritionist may also be able to help choose the best diet or combination of diets
and aid with personalizing the dietary intervention. Finding a diet that an individual will
accept and follow can be particularly challenging for people with ASD. Understanding
the texture and food preferences of an individual are important, and working alongside a
nutritionist can help create a diet that is more likely to be accepted. This can improve
compliance with dietary intervention, which in turn may improve results.
4.8. ANRC Autism Treatment Rater App
The ANRC Autism Treatment Rater app is a mobile app that displays some of the
data from this survey (the ratings for each diet), as well as data on many medications,
nutritional supplements, and therapies. In the app, caregivers and individuals with ASD
can directly compare these treatments and additional therapies to determine the best in-
terventions based on symptoms. It is available on iPhones and can be found by searching
the app store for “ANRC Autism Treatment Rater”.
4.9. Strengths and Limitations
Strengths of this study include the large sample size and the large number of diets
surveyed. Another strength is that this study asked about specic symptom improve-
ments with each diet; therefore, data could be gathered on whether dierent diets improve
dierent symptoms. It also included a separate rating for overall adverse eects and ad-
verse symptoms so that both benets and adverse eects could be measured inde-
pendently.
Survey studies have inherent limitations due to errors in recalling the eectiveness
of the diet or the symptoms that were improved. There is also possible response bias,
where those that had beneted were more likely to complete the survey. There is also a
substantial placebo eect, but the comparisons between treatments should be relatively
immune to the placebo eect, assuming a similar placebo eect for all treatments. Addi-
tionally, each person may implement the same diet somewhat dierently or with limited
compliance, which may cause some inaccuracy in the data. Because the age of participants
ranges from young children to older adults, the applicability may vary for specic popu-
lations.
5. Conclusions
The results of this study suggest that therapeutic diets are generally safe and often
eective for individuals with ASD. Therapeutic diets had signicantly higher Overall Ben-
et than medications and nutraceuticals from the same survey, and very low adverse ef-
fects, signicantly lower than medications. Additionally, individuals that used therapeu-
tic diets had signicant improvement in autism severity compared with those that did not
use diet.
J. Pers. Med. 2023, 13, 1448 29 of 34
This survey highlights the value of therapeutic diets to address and improve the
symptoms of autism spectrum disorder, as well as other common co-morbid symptoms.
Dietary interventions were reported to be most eective in improving (in descending or-
der): aention, cognition, health, hyperactivity, irritability, aggression/agitation, anxiety,
constipation, diarrhea, language/communication, eczema/skin problems, stimming/per-
severation/desire for sameness, sensory sensitivity, and social interaction and understand-
ing. The highest rated diet based on Overall Benet was a Healthy diet, and the diets that
most often appeared in the top ve for symptom improvements were the ketogenic diet,
GFCF diet, Feingold diet, food avoidance diet based on observation, and a low sugar diet.
Symptom improvement varied depending on the diet, likely due to dierent mechanisms
of action.
Implementing a therapeutic diet is inexpensive compared to many other treatments.
Hiring an expert nutritionist for one or a few sessions is inexpensive compared to, for
example, years of behavioral therapy or special education, and implementing a therapeu-
tic diet may result in beer response to those therapies.
The user-friendly mobile app, ANRC Autism Treatment Rater, provides data from
this study on the ratings of each therapeutic diet.
Because of the heterogeneous nature of autism spectrum disorder, a personalized
nutrition approach seems to be eective, and symptoms may be used to personalize the
most eective diet for the individual. Because healthy diets provided good benet, and
poor diets and nutrient deciencies are common in ASD, a therapeutic diet should both
avoid problematic foods and include nutrient-dense foods.
Author Contributions: Conceptualization, J.B.A. and J.S.M.; methodology, J.B.A.; validation, J.B.A.;
formal analysis, J.B.A. and J.S.M.; investigation, J.B.A.; resources, J.B.A.; data curation, J.B.A.; writ-
ing—original draft preparation, J.S.M.; writing—review and editing, J.S.M. and J.B.A.; visualization,
J.S.M.; supervision, J.B.A.; project administration, J.B.A.; funding acquisition, J.B.A. All authors have
read and agreed to the published version of the manuscript.
Funding: This research was funded by the Autism Research Institute and the Zoowalk for Autism
Research.
Institutional Review Board Statement: The study was conducted in accordance with the Declara-
tion of Helsinki and approved by the Institutional Review Board (or Ethics Commiee) of Arizona
State University (protocol code STUDY00003766 approved 26 January 2016).
Informed Consent Statement: Informed consent was obtained from all subjects involved in the
study.
Data Availability Statement: The data from this study are available on request from the correspond-
ing authors.
Acknowledgments: We thank the following organizations for helping promote the Survey: Age of
Autism, ASU Autism/Asperger’s Research Program, Autism Academy for Education and Develop-
ment, Autism Canada, Autism Conferences of America, Autism File, Autism Free Brain, Autism Nu-
trition Research Center, Autism Research Institute, Autism Society of Alabama, Autism Society of
Bayou, Autism Society of Central Ohio, Autism Society of Central Texas, Autism Society of Dayton,
Autism Society of El Paso, Autism Society of Emerald Coast, Autism Society of Greater Akron, Au-
tism Society of Greater Harrisburg, Autism Society of Greater New Orleans, Autism Society of
Greater Phoenix, Autism Society of Hawaii, Autism Society of Indiana, Autism Society of Inland
Empire, Autism Society of Iowa, Autism Society—Kern Autism Network, Autism Society of Massa-
chuses, Autism Society of Michigan, Autism Society of Minnesota, Autism Society of Northern Vir-
ginia, Autism Society of Northwestern Pennsylvania, Autism Society of Oregon, Autism Society of
Pisburgh, Autism Society of Pennsylvania, Autism Society of San Diego, Autism Society of South-
ern Arizona, Autism Society of Southeastern Wisconsin, Autism Society of Treasure Valley, Autism
Society of Western New York, Autism Society of Westmoreland, Autism Society of West Virginia,
Autism Society of Wisconsin, Autism Speaks, Autism Spectrum Therapies, Autism Tennessee, Au-
tism Treatment Network, East Valley Autism Network, Generation Rescue, GOALS for Autism, Inc.,
Guthrie Mainstream Services, Hope Group, Independent Living Experience, National Autism Asso-
ciation, North Bridge College Success Program, Organization for Autism Research, Southwest
J. Pers. Med. 2023, 13, 1448 30 of 34
Autism Research and Resource Center (SARRC), SEEDs for Autism, S.E.E.K Arizona, STARS, Talk-
ing About Curing Autism (TACA), Unlocking Autism, US Autism and Asperger’s Association
(USAAA). We thank Devon Coleman for her work on designing and conducting the survey. We
thank Anisha Bhargava for assisting with data retrieval. We thank Steve Edelson for his detailed
review of the Survey. We thank Christina Shepard, Christy Alexon, Teresa Hart, and Robin DeWeese
for their support and review on various aspects of the manuscript. We especially thank the >1000
participants who participated in the Survey, and those who provided initial feedback on the early
versions of the Survey.
Conicts of Interest: J.B.A. is President of the non-prot Autism Nutrition Research Center, but he
serves as a volunteer and does not receive any salary from them. He has received research grants
from ANRC. J.S.M. consults with autism families and practitioners about dietary interventions
through her organizations, Nourishing Hope and the BioIndividual Nutrition Institute. The funders
had no role in the design of the study; in the collection, analyses, or interpretation of data; in the
writing of the manuscript, or in the decision to publish the results.
References
1. Maenner, M.J. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years—Autism and
Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018. MMWR Surveill. Summ 2021, 70, 1–16.
https://doi.org/10.15585/mmwr.ss7011a1.
2. Buescher, A.V.S.; Cidav, Z.; Knapp, M.; Mandell, D.S. Costs of Autism Spectrum Disorders in the United Kingdom and the
United States. JAMA Pediatr. 2014, 168, 721–728. https://doi.org/10.1001/jamapediatrics.2014.210.
3. Masi, A.; DeMayo, M.M.; Glozier, N.; Guastella, A.J. An Overview of Autism Spectrum Disorder, Heterogeneity and Treatment
Options. Neurosci. Bull. 2017, 33, 183–193. https://doi.org/10.1007/s12264-017-0100-y.
4. Bryson, S.E.; Rogers, S.J.; Fombonne, E. Autism Spectrum Disorders: Early Detection, Intervention, Education, and
Psychopharmacological Management. Can. J. Psychiatry 2003, 48, 506–516. https://doi.org/10.1177/070674370304800802.
5. Famitafreshi, H.; Karimian, M. Overview of the Recent Advances in Pathophysiology and Treatment for Autism. CNS Neurol.
Disord. Drug Targets 2018, 17, 590–594. https://doi.org/10.2174/1871527317666180706141654.
6. Kawicka, A.; Regulska-Ilow, B. How Nutritional Status, Diet and Dietary Supplements Can Affect Autism. A Review. Rocz.
Panstw. Zakl. Hig. 2013, 64, 1–12.
7. Madra, M.; Ringel, R.; Margolis, K.G. Gastrointestinal Issues and Autism Spectrum Disorder. Psychiatr. Clin. N. Am. 2021, 44,
69–81. https://doi.org/10.1016/j.psc.2020.11.006.
8. Doreswamy, S.; Bashir, A.; Guarecuco, J.E.; Lahori, S.; Baig, A.; Narra, L.R.; Patel, P.; Heindl, S.E. Effects of Diet, Nutrition, and
Exercise in Children With Autism and Autism Spectrum Disorder: A Literature Review. Cureus 2020, 12, e12222.
https://doi.org/10.7759/cureus.12222.
9. Hopf, K.P.; Madren, E.; Santianni, K.A. Use and Perceived Effectiveness of Complementary and Alternative Medicine to Treat
and Manage the Symptoms of Autism in Children: A Survey of Parents in a Community Population. J. Altern. Complement. Med.
2016, 22, 25–32. https://doi.org/10.1089/acm.2015.0163.
10. Şenel, H.G. Parents’ Views and Experiences About Complementary and Alternative Medicine Treatments for Their Children
with Autistic Spectrum Disorder. J. Autism Dev. Disord. 2010, 40, 494–503. https://doi.org/10.1007/s10803-009-0891-4.
11. Winburn, E.; Charlton, J.; McConachie, H.; McColl, E.; Parr, J.; O’Hare, A.; Baird, G.; Gringras, P.; Wilson, D.C.; Adamson, A.;
et al. Parents’ and Child Health Professionals’ Attitudes Towards Dietary Interventions for Children with Autism Spectrum
Disorders. J. Autism Dev. Disord. 2014, 44, 747–757. https://doi.org/10.1007/s10803-013-1922-8.
12. Hsu, C.-L.; Lin, C.-Y.; Chen, C.-L.; Wang, C.-M.; Wong, M.-K. The Effects of a Gluten and Casein-Free Diet in Children with
Autism: A Case Report. Chang Gung Med. J. 2009, 32, 459–465.
13. Herbert, M.R.; Buckley, J.A. Autism and Dietary Therapy: Case Report and Review of the Literature. J. Child. Neurol. 2013, 28,
975–982. https://doi.org/10.1177/0883073813488668.
14. Molina-López, J.; Leiva-García, B.; Planells, E.; Planells, P. Food Selectivity, Nutritional Inadequacies, and Mealtime Behavioral
Problems in Children with Autism Spectrum Disorder Compared to Neurotypical Children. Int. J. Eat. Disord. 2021, 54, 2155–
2166. https://doi.org/10.1002/eat.23631.
15. Esteban-Figuerola, P.; Canals, J.; Fernández-Cao, J.C.; Arija Val, V. Differences in Food Consumption and Nutritional Intake
between Children with Autism Spectrum Disorders and Typically Developing Children: A Meta-Analysis. Autism 2019, 23,
1079–1095. https://doi.org/10.1177/1362361318794179.
16. Adams, J.B.; Audhya, T.; McDonough-Means, S.; Rubin, R.A.; Quig, D.; Geis, E.; Gehn, E.; Loresto, M.; Mitchell, J.; Atwood, S.;
et al. Nutritional and Metabolic Status of Children with Autism vs. Neurotypical Children, and the Association with Autism
Severity. Nutr. Metab. 2011, 8, 34. https://doi.org/10.1186/1743-7075-8-34.
17. Morton, J.T.; Jin, D.-M.; Mills, R.H.; Shao, Y.; Rahman, G.; McDonald, D.; Berding, K.; Needham, B.D.; Zurita, M.F.; David, M.;
et al. Multi-Omic Analysis along the Gut-Brain Axis Points to a Functional Architecture of Autism. 2022I. Biorxiv
10.1101/2022.02.25.482050.
J. Pers. Med. 2023, 13, 1448 31 of 34
18. Iovene, M.R.; Bombace, F.; Maresca, R.; Sapone, A.; Iardino, P.; Picardi, A.; Marotta, R.; Schiraldi, C.; Siniscalco, D.; Serra, N.; et
al. Intestinal Dysbiosis and Yeast Isolation in Stool of Subjects with Autism Spectrum Disorders. Mycopathologia 2017, 182, 349–
363. https://doi.org/10.1007/s11046-016-0068-6.
19. Singh, R.K.; Chang, H.-W.; Yan, D.; Lee, K.M.; Ucmak, D.; Wong, K.; Abrouk, M.; Farahnik, B.; Nakamura, M.; Zhu, T.H.; et al.
Influence of Diet on the Gut Microbiome and Implications for Human Health. J. Transl. Med. 2017, 15, 73.
https://doi.org/10.1186/s12967-017-1175-y.
20. Otašević, S.; Momčilović, S.; Petrović, M.; Radulović, O.; Stojanović, N.M.; Arsić-Arsenijević, V. The Dietary Modification and
Treatment of Intestinal Candida Overgrowth—A Pilot Study. J. Mycol. Med. 2018, 28, 623–627.
https://doi.org/10.1016/j.mycmed.2018.08.002.
21. Horn, J.; Mayer, D.E.; Chen, S.; Mayer, E.A. Role of Diet and Its Effects on the Gut Microbiome in the Pathophysiology of Mental
Disorders. Transl. Psychiatry 2022, 12, 164. https://doi.org/10.1038/s41398-022-01922-0.
22. Tomova, A.; Soltys, K.; Kemenyova, P.; Karhanek, M.; Babinska, K. The Influence of Food Intake Specificity in Children with
Autism on Gut Microbiota. Int. J. Mol. Sci. 2020, 21, E2797. https://doi.org/10.3390/ijms21082797.
23. Wolter, M.; Grant, E.T.; Boudaud, M.; Steimle, A.; Pereira, G.V.; Martens, E.C.; Desai, M.S. Leveraging Diet to Engineer the Gut
Microbiome. Nat. Rev. Gastroenterol. Hepatol. 2021, 18, 885–902. https://doi.org/10.1038/s41575-021-00512-7.
24. Giulivi, C.; Zhang, Y.-F.; Omanska-Klusek, A.; Ross-Inta, C.; Wong, S.; Hertz-Picciotto, I.; Tassone, F.; Pessah, I.N. Mitochondrial
Dysfunction in Autism. JAMA 2010, 304, 2389–2396. https://doi.org/10.1001/jama.2010.1706.
25. James, S.J.; Melnyk, S.; Jernigan, S.; Cleves, M.A.; Halsted, C.H.; Wong, D.H.; Cutler, P.; Bock, K.; Boris, M.; Bradstreet, J.J.; et al.
Metabolic Endophenotype and Related Genotypes Are Associated with Oxidative Stress in Children with Autism. Am. J. Med.
Genet. Part B Neuropsychiatr. Genet. 2006, 141B, 947–956. https://doi.org/10.1002/ajmg.b.30366.
26. Qureshi, F.; Adams, J.B.; Audhya, T.; Hahn, J. Multivariate Analysis of Metabolomic and Nutritional Profiles among Children
with Autism Spectrum Disorder. J. Pers. Med. 2022, 12, 923. https://doi.org/10.3390/jpm12060923.
27. Konstantynowicz, J.; Porowski, T.; Zoch-Zwierz, W.; Wasilewska, J.; Kadziela-Olech, H.; Kulak, W.; Owens, S.C.; Piotrowska-
Jastrzebska, J.; Kaczmarski, M. A Potential Pathogenic Role of Oxalate in Autism. Eur. J. Paediatr. Neurol. 2012, 16, 485–491.
https://doi.org/10.1016/j.ejpn.2011.08.004.
28. Cade, R.; Privette, M.; Fregly, M.; Rowland, N.; Sun, Z.; Zele, V.; Wagemaker, H.; Edelstein, C. Autism and Schizophrenia:
Intestinal Disorders. Nutr. Neurosci. 2000, 3, 57–72. https://doi.org/10.1080/1028415X.2000.11747303.
29. Kushak, R.I.; Lauwers, G.Y.; Winter, H.S.; Buie, T.M. Intestinal Disaccharidase Activity in Patients with Autism: Effect of Age,
Gender, and Intestinal Inflammation. Autism 2011, 15, 285–294. https://doi.org/10.1177/1362361310369142.
30. Horvath, K.; Perman, J.A. Autistic Disorder and Gastrointestinal Disease. Curr. Opin. Pediatr. 2002, 14, 583–587.
https://doi.org/10.1097/00008480-200210000-00004.
31. Horvath, K.; Papadimitriou, J.C.; Rabsztyn, A.; Drachenberg, C.; Tildon, J.T. Gastrointestinal Abnormalities in Children with
Autistic Disorder. J. Pediatr. 1999, 135, 559–563. https://doi.org/10.1016/s0022-3476(99)70052-1.
32. Williams, B.L.; Hornig, M.; Buie, T.; Bauman, M.L.; Cho Paik, M.; Wick, I.; Bennett, A.; Jabado, O.; Hirschberg, D.L.; Lipkin, W.I.
Impaired Carbohydrate Digestion and Transport and Mucosal Dysbiosis in the Intestines of Children with Autism and
Gastrointestinal Disturbances. PLoS ONE 2011, 6, e24585. https://doi.org/10.1371/journal.pone.0024585.
33. Reichelt, K.L.; Knivsberg, A.M. Can the Pathophysiology of Autism Be Explained by the Nature of the Discovered Urine
Peptides? Nutr. Neurosci. 2003, 6, 19–28. https://doi.org/10.1080/1028415021000042839.
34. Quan, L.; Xu, X.; Cui, Y.; Han, H.; Hendren, R.L.; Zhao, L.; You, X. A Systematic Review and Meta-Analysis of the Benefits of a
Gluten-Free Diet and/or Casein-Free Diet for Children with Autism Spectrum Disorder. Nutr. Rev. 2022, 80, 1237–1246.
https://doi.org/10.1093/nutrit/nuab073.
35. Lee, R.W.Y.; Corley, M.J.; Pang, A.; Arakaki, G.; Abbott, L.; Nishimoto, M.; Miyamoto, R.; Lee, E.; Yamamoto, S.; Maunakea,
A.K.; et al. A Modified Ketogenic Gluten-Free Diet with MCT Improves Behavior in Children with Autism Spectrum Disorder.
Physiol. Behav. 2018, 188, 205–211. https://doi.org/10.1016/j.physbeh.2018.02.006.
36. Ruan, Y.; Chen, L.; She, D.; Chung, Y.; Ge, L.; Han, L. Ketogenic Diet for Epilepsy: An Overview of Systematic Review and
Meta-Analysis. Eur. J. Clin. Nutr. 2022, 76, 1234–1244. https://doi.org/10.1038/s41430-021-01060-8.
37. Boutros, N.N.; Lajiness-O’Neill, R.; Zillgitt, A.; Richard, A.E.; Bowyer, S.M. EEG Changes Associated with Autistic Spectrum
Disorders. Neuropsychiatr. Electrophysiol. 2015, 1, 3. https://doi.org/10.1186/s40810-014-0001-5.
38. El-Rashidy, O.; El-Baz, F.; El-Gendy, Y.; Khalaf, R.; Reda, D.; Saad, K. Ketogenic Diet versus Gluten Free Casein Free Diet in
Autistic Children: A Case-Control Study. Metab. Brain Dis. 2017, 32, 1935–1941. https://doi.org/10.1007/s11011-017-0088-z.
39. Ābele, S.; Meija, L.; Folkmanis, V.; Tzivian, L. Specific Carbohydrate Diet (SCD/GAPS) and Dietary Supplements for Children
with Autistic Spectrum Disorder. Proc. Latv. Acad. Sci. 2021, 75, 417–425. https://doi.org/10.2478/prolas-2021-0062.
40. Feingold, B.F. Hyperkinesis and Learning Disabilities Linked to Artificial Food Flavors and Colors. Am. J. Nurs. 1975, 75, 797–
803. https://doi.org/10.2307/3423460.
41. Vita, A.A.; Zwickey, H.; Bradley, R. Associations between Food-Specific IgG Antibodies and Intestinal Permeability Biomarkers.
Front. Nutr. 2022, 9, 962093. https://doi.org/10.3389/fnut.2022.962093.
42. Fidler Mis, N.; Braegger, C.; Bronsky, J.; Campoy, C.; Domellöf, M.; Embleton, N.D.; Hojsak, I.; Hulst, J.; Indrio, F.; Lapillonne,
A.; et al. Sugar in Infants, Children and Adolescents: A Position Paper of the European Society for Paediatric Gastroenterology,
Hepatology and Nutrition Committee on Nutrition. J. Pediatr. Gastroenterol. Nutr. 2017, 65, 681–696.
https://doi.org/10.1097/MPG.0000000000001733.
J. Pers. Med. 2023, 13, 1448 32 of 34
43. Adams, J.B.; Johansen, L.J.; Powell, L.D.; Quig, D.; Rubin, R.A. Gastrointestinal Flora and Gastrointestinal Status in Children
with Autism—Comparisons to Typical Children and Correlation with Autism Severity. BMC Gastroenterol. 2011, 11, 22.
https://doi.org/10.1186/1471-230X-11-22.
44. Kałużna-Czaplińska, J.; Jóźwik-Pruska, J. Nutritional Strategies and Personalized Diet in Autism-Choice or Necessity? Trends
Food Sci. Technol. 2016, 49, 45–50. https://doi.org/10.1016/j.tifs.2016.01.005.
45. Mandecka, A.; Regulska-Ilow, B. The importance of nutritional management and education in the treatment of autism. Rocz
Panstw Zakl Hig. 2022, 73, 247–258. https://doi.org/10.32394/rpzh.2022.0218
46. Cekici, H.; Sanlier, N. Current Nutritional Approaches in Managing Autism Spectrum Disorder: A Review. Nutr. Neurosci. 2019,
22, 145–155. https://doi.org/10.1080/1028415X.2017.1358481.
47. Ristori, M.V.; Quagliariello, A.; Reddel, S.; Ianiro, G.; Vicari, S.; Gasbarrini, A.; Putignani, L. Autism, Gastrointestinal Symptoms
and Modulation of Gut Microbiota by Nutritional Interventions. Nutrients 2019, 11, E2812. https://doi.org/10.3390/nu11112812.
48. Hartman, R.E.; Patel, D. Dietary Approaches to the Management of Autism Spectrum Disorders. Adv. Neurobiol. 2020, 24, 547–
571. https://doi.org/10.1007/978-3-030-30402-7_19.
49. Adams, J.B.; Audhya, T.; Geis, E.; Gehn, E.; Fimbres, V.; Pollard, E.L.; Mitchell, J.; Ingram, J.; Hellmers, R.; Laake, D.; et al.
Comprehensive Nutritional and Dietary Intervention for Autism Spectrum Disorder-A Randomized, Controlled 12-Month Trial.
Nutrients 2018, 10, E369. https://doi.org/10.3390/nu10030369.
50. Rimland, B.; Edelson, S. Parent Ratings of Behavioral Effects of Biomedical Interventions. In Autism Research Institute Newsletter;
ARI Publication: San Diego, USA, 2009; Volume 34.
51. Adams, J.B.; Bhargava, A.; Coleman, D.M.; Frye, R.E.; Rossignol, D.A. Ratings of the Effectiveness of Nutraceuticals for Autism
Spectrum Disorders: Results of a National Survey. JPM 2021, 11, 878. https://doi.org/10.3390/jpm11090878.
52. Coleman, D.M.; Adams, J.B.; Anderson, A.L.; Frye, R.E. Rating of the Effectiveness of 26 Psychiatric and Seizure Medications
for Autism Spectrum Disorder: Results of a National Survey. J. Child. Adolesc. Psychopharmacol. 2019, 29, 107–123.
https://doi.org/10.1089/cap.2018.0121.
53. Yu, Y.; Huang, J.; Chen, X.; Fu, J.; Wang, X.; Pu, L.; Gu, C.; Cai, C. Efficacy and Safety of Diet Therapies in Children With Autism
Spectrum Disorder: A Systematic Literature Review and Meta-Analysis. Front. Neurol. 2022, 13, 844117.
https://doi.org/10.3389/fneur.2022.844117.
54. Viscidi, E.W.; Triche, E.W.; Pescosolido, M.F.; McLean, R.L.; Joseph, R.M.; Spence, S.J.; Morrow, E.M. Clinical Characteristics of
Children with Autism Spectrum Disorder and Co-Occurring Epilepsy. PLoS ONE 2013, 8, e67797.
https://doi.org/10.1371/journal.pone.0067797.
55. Wang, X.; Song, X.; Jin, Y.; Zhan, X.; Cao, M.; Guo, X.; Liu, S.; Ou, X.; Gu, T.; Jing, J.; et al. Association between Dietary Quality
and Executive Functions in School-Aged Children with Autism Spectrum Disorder. Front. Nutr. 2022, 9, 940246.
https://doi.org/10.3389/fnut.2022.940246.
56. Berding, K.; Donovan, S.M. Diet Can Impact Microbiota Composition in Children With Autism Spectrum Disorder. Front.
Neurosci. 2018, 12, 515. https://doi.org/10.3389/fnins.2018.00515.
57. Mayes, S.D.; Zickgraf, H. Atypical Eating Behaviors in Children and Adolescents with Autism, ADHD, Other Disorders, and
Typical Development. Res. Autism Spectr. Disord. 2019, 64, 76–83. https://doi.org/10.1016/j.rasd.2019.04.002.
58. Chistol, L.T.; Bandini, L.G.; Must, A.; Phillips, S.; Cermak, S.A.; Curtin, C. Sensory Sensitivity and Food Selectivity in Children
with Autism Spectrum Disorder. J. Autism Dev. Disord. 2018, 48, 583–591. https://doi.org/10.1007/s10803-017-3340-9.
59. Li, C.; Liu, Y.; Fang, H.; Chen, Y.; Weng, J.; Zhai, M.; Xiao, T.; Ke, X. Study on Aberrant Eating Behaviors, Food Intolerance, and
Stereotyped Behaviors in Autism Spectrum Disorder. Front. Psychiatry 2020, 11, 493695.
https://doi.org/10.3389/fpsyt.2020.493695.
60. Raithel, M.; Baenkler, H.W.; Naegel, A.; Buchwald, F.; Schultis, H.W.; Backhaus, B.; Kimpel, S.; Koch, H.; Mach, K.; Hahn, E.G.;
et al. Significance of Salicylate Intolerance in Diseases of the Lower Gastrointestinal Tract. J. Physiol. Pharmacol. 2005, 56 (Suppl.
S5), 89–102.
61. Kęszycka, P.K.; Lange, E.; Gajewska, D. Effectiveness of Personalized Low Salicylate Diet in the Management of Salicylates
Hypersensitive Patients: Interventional Study. Nutrients 2021, 13, 991. https://doi.org/10.3390/nu13030991.
62. McCann, D.; Barrett, A.; Cooper, A.; Crumpler, D.; Dalen, L.; Grimshaw, K.; Kitchin, E.; Lok, K.; Porteous, L.; Prince, E.; et al.
Food Additives and Hyperactive Behaviour in 3-Year-Old and 8/9-Year-Old Children in the Community: A Randomised,
Double-Blinded, Placebo-Controlled Trial. Lancet 2007, 370, 1560–1567. https://doi.org/10.1016/S0140-6736(07)61306-3.
63. Alberti, A.; Pirrone, P.; Elia, M.; Waring, R.H.; Romano, C. Sulphation Deficit in “Low-Functioning” Autistic Children: A Pilot
Study. Biol. Psychiatry 1999, 46, 420–424. https://doi.org/10.1016/s0006-3223(98)00337-0.
64. Jyonouchi, H.; Sun, S.; Itokazu, N. Innate Immunity Associated with Inflammatory Responses and Cytokine Production against
Common Dietary Proteins in Patients with Autism Spectrum Disorder. Neuropsychobiology 2002, 46, 76–84.
https://doi.org/10.1159/000065416.
65. Knivsberg, A.M.; Reichelt, K.L.; Høien, T.; Nødland, M. A Randomised, Controlled Study of Dietary Intervention in Autistic
Syndromes. Nutr. Neurosci. 2002, 5, 251–261. https://doi.org/10.1080/10284150290028945.
66. Whiteley, P.; Haracopos, D.; Knivsberg, A.-M.; Reichelt, K.L.; Parlar, S.; Jacobsen, J.; Seim, A.; Pedersen, L.; Schondel, M.;
Shattock, P. The ScanBrit Randomised, Controlled, Single-Blind Study of a Gluten- and Casein-Free Dietary Intervention for
Children with Autism Spectrum Disorders. Nutr. Neurosci. 2010, 13, 87–100. https://doi.org/10.1179/147683010X12611460763922.
J. Pers. Med. 2023, 13, 1448 33 of 34
67. Ghalichi, F.; Ghaemmaghami, J.; Malek, A.; Ostadrahimi, A. Effect of Gluten Free Diet on Gastrointestinal and Behavioral
Indices for Children with Autism Spectrum Disorders: A Randomized Clinical Trial. World J. Pediatr. 2016, 12, 436–442.
https://doi.org/10.1007/s12519-016-0040-z.
68. Piwowarczyk, A.; Horvath, A.; Pisula, E.; Kawa, R.; Szajewska, H. Gluten-Free Diet in Children with Autism Spectrum
Disorders: A Randomized, Controlled, Single-Blinded Trial. J. Autism Dev. Disord. 2020, 50, 482–490.
https://doi.org/10.1007/s10803-019-04266-9.
69. Karagözlü, S.; Dalgıç, B.; İşeri, E. The Relationship of Severity of Autism with Gastrointestinal Symptoms and Serum Zonulin
Levels in Autistic Children. J. Autism Dev. Disord. 2022, 52, 623–629. https://doi.org/10.1007/s10803-021-04966-1.
70. Lucarelli, S.; Frediani, T.; Zingoni, A.M.; Ferruzzi, F.; Giardini, O.; Quintieri, F.; Barbato, M.; D’Eufemia, P.; Cardi, E. Food
Allergy and Infantile Autism. Panminerva Med. 1995, 37, 137–141.
71. Marí-Bauset, S.; Llopis-González, A.; Zazpe, I.; Marí-Sanchis, A.; Suárez-Varela, M.M. Nutritional Impact of a Gluten-Free
Casein-Free Diet in Children with Autism Spectrum Disorder. J. Autism Dev. Disord. 2016, 46, 673–684.
https://doi.org/10.1007/s10803-015-2582-7.
72. Adams, J.B.; Audhya, T.; McDonough-Means, S.; Rubin, R.A.; Quig, D.; Geis, E.; Gehn, E.; Loresto, M.; Mitchell, J.; Atwood, S.;
et al. Effect of a Vitamin/Mineral Supplement on Children and Adults with Autism. BMC Pediatr. 2011, 11, 111.
https://doi.org/10.1186/1471-2431-11-111.
73. Markus, C.R.; Rogers, P.J. Effects of High and Low Sucrose-Containing Beverages on Blood Glucose and Hypoglycemic-like
Symptoms. Physiol. Behav. 2020, 222, 112916. https://doi.org/10.1016/j.physbeh.2020.112916.
74. Ma, X.; Nan, F.; Liang, H.; Shu, P.; Fan, X.; Song, X.; Hou, Y.; Zhang, D. Excessive Intake of Sugar: An Accomplice of
Inflammation. Front. Immunol. 2022, 13, 988481. https://doi.org/10.3389/fimmu.2022.988481.
75. Kuhlow, D.; Zarse, K.; Voigt, A.; Schulz, T.J.; Petzke, K.J.; Schomburg, L.; Pfeiffer, A.F.H.; Ristow, M. Opposing Effects of Dietary
Sugar and Saturated Fat on Cardiovascular Risk Factors and Glucose Metabolism in Mitochondrially Impaired Mice. Eur. J.
Nutr. 2010, 49, 417–427. https://doi.org/10.1007/s00394-010-0100-4.
76. Tan, S.; Pan, N.; Xu, X.; Li, H.; Lin, L.; Chen, J.; Jin, C.; Pan, S.; Jing, J.; Li, X. The Association between Sugar-Sweetened Beverages
and Milk Intake with Emotional and Behavioral Problems in Children with Autism Spectrum Disorder. Front. Nutr. 2022, 9,
927212. https://doi.org/10.3389/fnut.2022.927212.
77. Fu, T.; Chen, H.; Chen, X.; Sun, Y.; Xie, Y.; Deng, M.; Hesketh, T.; Wang, X.; Chen, J. Sugar-Sweetened Beverages, Artificially
Sweetened Beverages and Natural Juices and Risk of Inflammatory Bowel Disease: A Cohort Study of 121,490 Participants.
Aliment. Pharmacol. Ther. 2022, 56, 1018–1029. https://doi.org/10.1111/apt.17149.
78. Wang, J.; Ma, B.; Wang, J.; Zhang, Z.; Chen, O. Global Prevalence of Autism Spectrum Disorder and Its Gastrointestinal
Symptoms: A Systematic Review and Meta-Analysis. Front. Psychiatry 2022, 13, 963102.
https://doi.org/10.3389/fpsyt.2022.963102.
79. Ohinata, K.; Agui, S.; Yoshikawa, M. Soymorphins, Novel μ Opioid Peptides Derived from Soy β-Conglycinin β-Subunit, Have
Anxiolytic Activities. Biosci. Biotechnol. Biochem. 2007, 71, 2618–2621. https://doi.org/10.1271/bbb.70516.
80. Jyonouchi, H.; Geng, L.; Ruby, A.; Reddy, C.; Zimmerman-Bier, B. Evaluation of an Association between Gastrointestinal
Symptoms and Cytokine Production against Common Dietary Proteins in Children with Autism Spectrum Disorders. J. Pediatr.
2005, 146, 605–610. https://doi.org/10.1016/j.jpeds.2005.01.027.
81. Jyonouchi, H.; Geng, L.; Ruby, A.; Zimmerman-Bier, B. Dysregulated Innate Immune Responses in Young Children with
Autism Spectrum Disorders: Their Relationship to Gastrointestinal Symptoms and Dietary Intervention. Neuropsychobiology
2005, 51, 77–85. https://doi.org/10.1159/000084164.
82. Westmark, C.J. Soy Infant Formula and Seizures in Children with Autism: A Retrospective Study. PLoS ONE 2014, 9, e80488.
https://doi.org/10.1371/journal.pone.0080488.
83. Samsel, A.; Seneff, S. Glyphosate, Pathways to Modern Diseases II: Celiac Sprue and Gluten Intolerance. Interdiscip. Toxicol. 2013,
6, 159–184. https://doi.org/10.2478/intox-2013-0026.
84. Rushing, B.R.; Selim, M.I. Aflatoxin B1: A Review on Metabolism, Toxicity, Occurrence in Food, Occupational Exposure, and
Detoxification Methods. Food Chem. Toxicol. 2019, 124, 81–100. https://doi.org/10.1016/j.fct.2018.11.047.
85. de Magistris, L.; Picardi, A.; Siniscalco, D.; Riccio, M.P.; Sapone, A.; Cariello, R.; Abbadessa, S.; Medici, N.; Lammers, K.M.;
Schiraldi, C.; et al. Antibodies against Food Antigens in Patients with Autistic Spectrum Disorders. Biomed. Res. Int. 2013, 2013,
729349. https://doi.org/10.1155/2013/729349.
86. Pizzo, F.; Collotta, A.D.; Di Nora, A.; Costanza, G.; Ruggieri, M.; Falsaperla, R. Ketogenic Diet in Pediatric Seizures: A
Randomized Controlled Trial Review and Meta-Analysis. Expert. Rev. Neurother. 2022, 22, 169–177.
https://doi.org/10.1080/14737175.2022.2030220.
87. Qu, C.; Keijer, J.; Adjobo-Hermans, M.J.W.; van de Wal, M.; Schirris, T.; van Karnebeek, C.; Pan, Y.; Koopman, W.J.H. The
Ketogenic Diet as a Therapeutic Intervention Strategy in Mitochondrial Disease. Int. J. Biochem. Cell Biol. 2021, 138, 106050.
https://doi.org/10.1016/j.biocel.2021.106050.
88. Mu, C.; Corley, M.J.; Lee, R.W.Y.; Wong, M.; Pang, A.; Arakaki, G.; Miyamoto, R.; Rho, J.M.; Mickiewicz, B.; Dowlatabadi, R.; et
al. Metabolic Framework for the Improvement of Autism Spectrum Disorders by a Modified Ketogenic Diet: A Pilot Study. J.
Proteome Res. 2020, 19, 382–390. https://doi.org/10.1021/acs.jproteome.9b00581.
89. Haas, S.V.; Haas, M.P. The Treatment of Celiac Disease with the Specific Carbohydrate Diet; Report on 191 Additional Cases.
Am. J. Gastroenterol. 1955, 23, 344–360.
J. Pers. Med. 2023, 13, 1448 34 of 34
90. Barnhill, K.; Devlin, M.; Moreno, H.T.; Potts, A.; Richardson, W.; Schutte, C.; Hewitson, L. Brief Report: Implementation of a
Specific Carbohydrate Diet for a Child with Autism Spectrum Disorder and Fragile X Syndrome. J. Autism Dev. Disord. 2020, 50,
1800–1808. https://doi.org/10.1007/s10803-018-3704-9.
91. Canitano, R.; Vivanti, G. Tics and Tourette Syndrome in Autism Spectrum Disorders. Autism 2007, 11, 19–28.
https://doi.org/10.1177/1362361307070992.
92. Mesleh, A.G.; Abdulla, S.A.; El-Agnaf, O. Paving the Way toward Personalized Medicine: Current Advances and Challenges in
Multi-OMICS Approach in Autism Spectrum Disorder for Biomarkers Discovery and Patient Stratification. J. Pers. Med. 2021,
11, 41. https://doi.org/10.3390/jpm11010041.
93. Crowley, J.; Ball, L.; Hiddink, G.J. Nutrition in Medical Education: A Systematic Review. Lancet Planet. Health 2019, 3, e379–e389.
https://doi.org/10.1016/S2542-5196(19)30171-8.
94. Antoniazzi, L.; Arroyo-Olivares, R.; Bittencourt, M.S.; Tada, M.T.; Lima, I.; Jannes, C.E.; Krieger, J.E.; Pereira, A.C.; Quintana-
Navarro, G.; Muñiz-Grijalvo, O.; et al. Adherence to a Mediterranean Diet, Dyslipidemia and Inflammation in Familial
Hypercholesterolemia. Nutr. Metab. Cardiovasc. Dis. 2021, 31, 2014–2022. https://doi.org/10.1016/j.numecd.2021.04.006..
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual au-
thor(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to
people or property resulting from any ideas, methods, instructions or products referred to in the content.
... Specific modifiable environmental and lifestyle risk factors for ASD include exposure to environmental toxicants [45][46][47], poor diet [29,[48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63], disruption of the gut microbiota [64][65][66][67][68][69][70][71][72][73][74], excessive exposure to non-native electromagnetic fields (EMFs) [75][76][77][78][79][80][81][82][83][84], and accumulation of heavy metals. There are limited FDA-approved pharmacological options at present to treat ASD. ...
... Accordingly, there have been a number of non-pharmacological interventions tailored to address underlying environmental and lifestyle risk factors that have demonstrated promising, though not conclusive, improvements in ASD symptoms [85,86]. These include dietary interventions [48,62] such as gluten and casein-free [87][88][89][90][91][92][93][94][95], GAPS, a specific carbohydrate diet [48], low glutamate [96][97][98][99][100][101], and ketogenic [102][103][104][105][106][107][108][109][110][111]. While the effectiveness of a number of these dietary interventions for improving ASD symptoms has been evaluated utilizing randomized controlled designs, blinding is often challenging for such interventions, and some degree of expectation bias is possible. ...
Article
Full-text available
The prevalence of autism has been increasing at an alarming rate. Even accounting for the expansion of autism spectrum disorder diagnostic (ASD) criteria throughout the 1990’s, there has been an over 300% increase in ASD prevalence since the year 2000. The often debilitating personal, familial, and societal sequelae of autism are generally believed to be lifelong. However, there have been several encouraging case reports demonstrating the reversal of autism diagnoses, with a therapeutic focus on addressing the environmental and modifiable lifestyle factors believed to be largely underlying the condition. This case report describes the reversal of autism symptoms among dizygotic, female twin toddlers and provides a review of related literature describing associations between modifiable lifestyle factors, environmental exposures, and various clinical approaches to treating autism. The twins were diagnosed with Level 3 severity ASD “requiring very substantial support” at approximately 20 months of age following concerns of limited verbal and non-verbal communication, repetitive behaviors, rigidity around transitions, and extensive gastrointestinal symptoms, among other common symptoms. A parent-driven, multidisciplinary, therapeutic intervention involving a variety of licensed clinicians focusing primarily on addressing environmental and modifiable lifestyle factors was personalized to each of the twin’s symptoms, labs, and other outcome measures. Dramatic improvements were noted within several months in most domains of the twins’ symptoms, which manifested in reductions of Autism Treatment Evaluation Checklist (ATEC) scores from 76 to 32 in one of the twins and from 43 to 4 in the other twin. The improvement in symptoms and ATEC scores has remained relatively stable for six months at last assessment. While prospective studies are required, this case offers further encouraging evidence of ASD reversal through a personalized, multidisciplinary approach focusing predominantly on addressing modifiable environmental and lifestyle risk factors.
... Specific modifiable environmental and lifestyle risk factors for ASD include exposure to environmental toxicants [45][46][47], poor diet [29,[48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63], disruption of the gut microbiota [64][65][66][67][68][69][70][71][72][73][74], excessive exposure to non-native electromagnetic fields (EMFs) [75][76][77][78][79][80][81][82][83][84], and accumulation of heavy metals. There are limited FDA-approved pharmacological options at present to treat ASD. ...
... Accordingly, there have been a number of non-pharmacological interventions tailored to address underlying environmental and lifestyle risk factors that have demonstrated improvements in ASD symptoms [85,86]. These include dietary interventions [48,62] such as gluten and casein free [87][88][89][90][91][92][93][94][95], GAPS, specific carbohydrate diet [48], low glutamate, [96][97][98][99][100][101] and ketogenic [102][103][104][105][106][107][108][109][110][111]. Targeted dietary supplements such as vitamin D [112,113], methylfolate [114,115], and carnitine [116,117], vitamin B12 and other micronutrient supplementation [51,118], mitochondrial support, or supplements thought to be relevant to a child's functional genomic situation. ...
Preprint
Full-text available
The prevalence of autism has been increasing at an alarming rate. Even accounting for the expansion of autism spectrum disorder diagnostic (ASD) criteria throughout the 1990’s, there has been an over 300% increase in ASD prevalence since the year 2000. The often debilitating personal, familial, and societal sequelae of autism are generally believed to be lifelong. However, there have been several encouraging case reports demonstrating reversal of autism diagnoses with a therapeutic focus on addressing the environmental and modifiable lifestyle factors believed to be largely underlying the condition. This case report describes the reversal of autism among dizygotic, female twin toddlers and provides a review of related literature describing associations between modifiable lifestyle factors, environmental exposures, and various clinical approaches to treating autism. The twins were diagnosed with Level 3 severity ASD “requiring very substantial support” at approximately 20 months of age following concerns of limited verbal and non-verbal communication, repetitive behaviors, rigidity around transitions, and extensive gastrointestinal symptoms, among other common symptoms. A parent-driven, multidisciplinary, therapeutic intervention involving a variety of licensed clinicians focusing primarily on addressing environmental and modifiable lifestyle factors was personalized to each of the twin’s symptoms, labs, and other outcome measures. Dramatic improvements were noted within several months in most domains of the twins’ symptoms, which was manifested in reductions of Autism Treatment Evaluation Checklist (ATEC) scores from 76 to 32 in one of the twins and from 43 to 4 in the other twin. The improvement in symptoms and ATEC scores has remained relatively stable for six months at last assessment. While prospective studies are required, this case offers further encouraging evidence of ASD reversal through a personalized, multidisciplinary approach focusing predominantly on addressing environmental and lifestyle risk factors.
... Our laboratory is interested in validating actigraphy and polysomnography as outcome measures that translate between mice and humans and in identifying dietary and pharmaceutical interventions for FXS. KD therapy has shown success in treating epilepsy, repetitive behavior, intellectual impairment, language dysfunction, and social skills, as well as in improving sleep, i.e., increasing REM sleep and reducing nighttime awakenings and daytime sleepiness [50][51][52]. Previously, we quantitated EEG sleep metrics in adult mice commencing KD therapy at weaning at P18 and did not find good correlation between sleep as assessed by EEG and activity levels assessed by actigraphy [4,43]. The large deficit in body weight in response to KD during development could have been a confounding factor. ...
Article
Full-text available
Sleep problems are a significant phenotype in children with fragile X syndrome. Our prior work assessed sleep–wake cycles in Fmr1KO male mice and wild type (WT) littermate controls in response to ketogenic diet therapy where mice were treated from weaning (postnatal day 18) through study completion (5–6 months of age). A potentially confounding issue with commencing treatment during an active period of growth is the significant reduction in weight gain in response to the ketogenic diet. The aim here was to employ sleep electroencephalography (EEG) to assess sleep–wake cycles in mice in response to the Fmr1 genotype and a ketogenic diet, with treatment starting at postnatal day 95. EEG results were compared with prior sleep outcomes to determine if the later intervention was efficacious, as well as with published rest-activity patterns to determine if actigraphy is a viable surrogate for sleep EEG. The data replicated findings that Fmr1KO mice exhibit sleep–wake patterns similar to wild type littermates during the dark cycle when maintained on a control purified-ingredient diet but revealed a genotype-specific difference during hours 4–6 of the light cycle of the increased wake (decreased sleep and NREM) state in Fmr1KO mice. Treatment with a high-fat, low-carbohydrate ketogenic diet increased the percentage of NREM sleep in both wild type and Fmr1KO mice during the dark cycle. Differences in sleep microstructure (length of wake bouts) supported the altered sleep states in response to ketogenic diet. Commencing ketogenic diet treatment in adulthood resulted in a 15% (WT) and 8.6% (Fmr1KO) decrease in body weight after 28 days of treatment, but not the severe reduction in body weight associated with starting treatment at weaning. We conclude that the lack of evidence for improved sleep during the light cycle (mouse sleep time) in Fmr1KO mice in response to ketogenic diet therapy in two studies suggests that ketogenic diet may not be beneficial in treating sleep problems associated with fragile X and that actigraphy is not a reliable surrogate for sleep EEG in mice.
... Dietas isentas de glúten e caseína (gluten free, casein free -GFCF) têm sido propostas como tratamento alternativo no TEA, visto que crianças com TEA apresentam alta prevalência de permeabilidade intestinal alterada, baixa atividade de enzimas digestivas, disbiose, duodenite, colite, gastrite, entre outras (Buie et al, 2010). Alguns estudos têm observado melhora nos sintomas gastrointestinais, na interação social, na cognição e na comunicação de crianças com TEA que fazem uso dessa dieta (Matthews & Adams, 2023), apesar de não haver consenso quanto aos verdadeiros benefícios da dieta GFCF na melhora de comportamentos autistas (Lange et al., 2015;Dubourdieu & Guerendiain, 2023 ...
Article
Full-text available
Objetivo: Associar o período de introdução alimentar do glúten e da caseína com o risco para o Transtorno do Espectro Austista (TEA). Metodologia: Estudo de coorte retrospectivo que investigou a exposição da criança ao consumo de alimentos fontes de glúten e caseína na alimentação complementar, e o risco para TEA entre 16 e 30 meses de idade. O questionário M-CHAT-R foi utilizado para avaliar risco de TEA. A associação foi avaliada utilizando-se o teste de qui-quadrado. A correlação de Pearson foi utilizar para correlacionar o mês de introdução do glúten e da caseína com a pontuação no M-CHAT-R. Resultado: Participaram 20 pares de mãe-filho, com predominância do sexo masculino (80%) entre as crianças. Duas crianças (10%) iniciaram a ingestão de glúten ou caseína antes de seis meses de idade. Nenhuma criança apresentou risco moderado ou alto de autismo de acordo com o instrumento M-CHAT-R. Não houve associação entre o mês de introdução do glúten e da caseína com o risco para desenvolvimento do TEA. Também não houve correlação entre o mês de introdução do glúten (r = -0,213 , p = 0,367) ou da caseína (r = -0,117 , p = 0,625) com a pontuação total no M-CHAT-R, porém, parece haver uma tendência indicando que a introdução precoce está correlacionada à maior pontuação no instrumento, ou seja, risco de TEA. Conclusão: O período de introdução alimentar do glúten e da caseína na alimentação complementar de lactentes não está associado ao risco de desenvolvimento de TEA em crianças de 16 a 30 meses de idade.
Article
Full-text available
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication and repetitive behaviors. Metabolomic profiling has emerged as a valuable tool for understanding the underlying metabolic dysregulations associated with ASD. AIM To comprehensively explore metabolomic changes in children with ASD, integrating findings from various research articles, reviews, systematic reviews, meta-analyses, case reports, editorials, and a book chapter. METHODS A systematic search was conducted in electronic databases, including PubMed, PubMed Central, Cochrane Library, Embase, Web of Science, CINAHL, Scopus, LISA, and NLM catalog up until January 2024. Inclusion criteria encompassed research articles (83), review articles (145), meta-analyses (6), systematic reviews (6), case reports (2), editorials (2), and a book chapter (1) related to metabolomic changes in children with ASD. Exclusion criteria were applied to ensure the relevance and quality of included studies. RESULTS The systematic review identified specific metabolites and metabolic pathways showing consistent differences in children with ASD compared to typically developing individuals. These metabolic biomarkers may serve as objective measures to support clinical assessments, improve diagnostic accuracy, and inform personalized treatment approaches. Metabolomic profiling also offers insights into the metabolic alterations associated with comorbid conditions commonly observed in individuals with ASD. CONCLUSION Integration of metabolomic changes in children with ASD holds promise for enhancing diagnostic accuracy, guiding personalized treatment approaches, monitoring treatment response, and improving outcomes. Further research is needed to validate findings, establish standardized protocols, and overcome technical challenges in metabolomic analysis. By advancing our understanding of metabolic dysregulations in ASD, clinicians can improve the lives of affected individuals and their families.
Article
Full-text available
Autism spectrum disorders (ASDs) are an early-onset neurodevelopmental disorders. The key symptoms of ASD include social deficits, verbal and non-verbal communication deficits, and restricted, repetitive patterns of behaviour, interests, or activities. Dietary patterns have been evidenced to be related to maternal nutritional status that might lead to different metabolic conditions, and maternal metabolic dysfunction has been observed to be associated with ASD. Furthermore growing evidence suggests that the gut microbiota has a role in the pathophysiology of ASD. Differences in composition of the gastrointestinal (GI) microbiota in children with ASD compared to unaffected siblings and/or healthy unrelated controls have been reported in various studies. The above-mentioned ASD factors and symptoms can be regulated by proper nutrition. The importance of nutrition and its possible impact on ASD patients is key to integral therapy. According to numerous research studies, various nutritional approaches succeeded in reducing the severity of patients' core ASD symptoms. The numerous options for diet that is used in the ASD therapy, as described in the scientific literature, are related to the problem of choosing an appropriate nutritional treatment. Each nutrition programme needs to be personalised and tailored to an individual patient. The aim of the paper is to review the available literature on dietary interventions in children with ASD and provide up-to-date evidence.
Article
Full-text available
Increasing translational evidence suggests that intestinal permeability may be a contributing factor to systemic inflammatory events and numerous pathologies. While associations between IgE-mediated food allergies and increased intestinal permeability have been well-characterized, the relationship between IgG-mediated food sensitivities and intestinal permeability is not well-described in the literature. Thus, we tested for associations between intestinal permeability biomarkers and food-specific IgG antibodies in 111 adults, with and without gastrointestinal symptoms. All biomarkers and food-specific IgG antibodies were measured via ELISA. The intestinal permeability biomarkers anti-lipopolysaccharide (LPS) and anti-occludin IgG and IgA antibodies, but not anti-vinculin or anti-CdtB IgG antibodies, were significantly and positively associated with IgG-mediated food sensitivities. These significant relationships were attenuated by adjusting for the severity of wheat, dairy, and egg reactions. The results of this study support strong associations between titers of food-specific IgG antibodies and intestinal permeability biomarkers in adults, to the extent that the presence of multiple IgG antibodies to food, and increasing IgG food titers, can be considered indicative of increased antibodies to LPS and occludin. Notably, neither IgG titers to wheat, eggs, and dairy, nor permeability biomarkers, were increased in symptomatic participants compared to those without symptoms.
Article
Full-text available
High sugar intake has long been recognized as a potential environmental risk factor for increased incidence of many non-communicable diseases, including obesity, cardiovascular disease, metabolic syndrome, and type 2 diabetes (T2D). Dietary sugars are mainly hexoses, including glucose, fructose, sucrose and High Fructose Corn Syrup (HFCS). These sugars are primarily absorbed in the gut as fructose and glucose. The consumption of high sugar beverages and processed foods has increased significantly over the past 30 years. Here, we summarize the effects of consuming high levels of dietary hexose on rheumatoid arthritis (RA), multiple sclerosis (MS), psoriasis, inflammatory bowel disease (IBD) and low-grade chronic inflammation. Based on these reported findings, we emphasize that dietary sugars and mixed processed foods may be a key factor leading to the occurrence and aggravation of inflammation. We concluded that by revealing the roles that excessive intake of hexose has on the regulation of human inflammatory diseases are fundamental questions that need to be solved urgently. Moreover, close attention should also be paid to the combination of high glucose-mediated immune imbalance and tumor development, and strive to make substantial contributions to reverse tumor immune escape.
Article
Full-text available
Background Autism spectrum disorder (ASD) is a severe public health concern, and Gastrointestinal (GI) symptoms are becoming more common among co-morbidities. The evidence has to be updated depending on differences in different parts of the world. This systematic review and meta-analysis aimed to better understand the existing epidemiological condition and help make health-related decisions. Methods Searches in PubMed, Web of Science, Embase databases are limited to 14 March 2022. We reviewed the global prevalence of ASD and the prevalence of GI in people with ASD. Data were extracted by two independent researchers. Literature quality assessment using the National Institutes of Health Study Quality Assessment Tool. Results We discovered that the global pooled prevalence of ASD was 98/10,000 (95% confidence interval, 95%CI: 81/10,000–118/10,000, I² = 99.99%, p < 0.001), with 48.67% (95%CI: 43.50 −53.86, I² = 99.51%) of individuals with ASD reporting GI symptoms. Based on the subgroup analyses, we found a higher prevalence of ASD in males (90/10,000, 95%CI: 71/10,000–112/10,000, I² = 99.99%) than females (21/10,000, 95%CI: 15/10,000–27/10,000, I² = 99.99%). Prevalence of pooling is higher in developing countries (155/10,000, 95% CI: 111/10,000–204/10,000, I² = 99.87%) than in developed countries (85/10,000, 95%CI: 67/10,000-105/10,000, I² = 99.99%). Conclusion The global prevalence of ASD and the prevalence of GI symptoms in ASD are both significant. The prevalence of ASD is much higher in men than in women. Further attention to ASD and its related comorbidities will be required in the future to inform coping strategy adaptation.
Article
Full-text available
Background It is well known that children with autism spectrum disorder (ASD) had executive functions deficit. However, it is still unclear whether the poor dietary quality is related to the impairment of executive functions. The current study aimed to explore the association between dietary quality and executive functions in children with ASD. Methods A total of 106 children with ASD (7.7 ± 1.3 years) and 207 typically developing (TD) children (7.8 ± 1.3 years) were enrolled from Guangzhou, China. The Chinese version of Behavior Rating Scale of Executive function (BRIEF), the working memory subscales of the Chinese version of Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), and the Stroop Color-Word Test (SCWT) were used to measure the participant's executive functions. The food frequency questionnaire (FFQ) was used to collect the dietary intake information, and the Chinese Diet Balance Index (DBI_16) was used to evaluate the dietary quality. Generalized linear models were used to estimate the association between dietary quality and executive functions. Results In children with ASD, Low Bound Score (LBS) was positively correlated with the working memory subscale score of BRIEF (β = 0.23, 95% CI: 0.02–0.44, P < 0.05), while High Bound Score (HBS) and LBS were positively correlated with the organizable subscale score of BRIEF (β = 0.44, 95% CI: 0.11–0.77, P < 0.01; β = 0.19, 95% CI: 0.01–0.37, P < 0.05). Compared to TD children, children with ASD had a higher proportion of moderate and high levels of insufficient dietary intake (moderate level, 37.7% vs. 23.2%, high level, 4.7% vs. 1.4%) and moderate level of unbalanced dietary intake (36.8% vs.21.3%), higher scores on all subscales of BRIEF (P < 0.01), and lower score on the working memory (81.3 ± 32.3 vs. 104.6 ± 12.5, P < 0.01), while there was no difference on the SCWT. Conclusion Poor dietary quality was associated with the impairment of working memory and organizational capacity in children with ASD. This study emphasized the importance of dietary quality in executive functions among children with ASD, and attention should be paid to improving their dietary quality.
Article
Full-text available
Background Emotional and behavioral problems are common in children with autism spectrum disorder (ASD). It's still unclear whether children with ASD have abnormal sugar-sweetened beverages (SSBs) and milk intake and whether this abnormality will affect their emotions and behavior remains unclear. The current study aims to investigate the association of SSBs and milk intake with emotional and behavioral problems in children with autism spectrum disorder (ASD). Methods 107 children with ASD and 207 typical developing (TD) children aged 6-12 years old were recruited for the study. The frequency of SSBs and milk intake was assessed by a self-designed questionnaire. Emotional and behavioral problems were assessed by Strength and Difficulties Questionnaire (SDQ). Then, the linear regression model was produced to evaluate the association of SSBs and milk intake with emotional and behavioral problems. Results In the current study, there was no difference in frequency of SSBs intake between children with ASD and TD children ( p > 0.05), and children with ASD consumed less milk compared to TD children ( p < 0.05). After adjusting sex, age, maternal and paternal education, and monthly family income, we found a significant difference in each subscale score of SDQ in the two groups ( p < 0.05). In children with ASD, higher frequent SSBs intake was positively associated with the scores of the emotional problem ( p for trend <0.05), and lower frequent milk intake was inversely associated with the scores of prosocial behavior ( p for trend <0.05). No interactive effects were found on SSBs and milk intake with emotional and behavioral problems ( p for trend > 0.05). Conclusion In children with ASD, frequency of SSBs and milk intake was associated with the emotional problem and prosocial behavior, respectively. Children with ASD should increase the frequency of milk intake and decrease the frequency of SSBs intake.
Article
Full-text available
Background Inflammatory bowel diseases (IBD) have been related to high‐sugar dietary patterns, but the associations of different types of beverages with IBD risk are largely unknown. Aims To examine the associations of intake of sugar‐sweetened beverages, artificially sweetened beverages and natural juices with IBD risk. Methods This cohort study included 121,490 participants in the UK Biobank who were free of IBD at recruitment. Intake of beverages was obtained from repeated 24‐h diet recalls in 2009–2012. Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for associations of beverage intake with IBD risk. Results During a mean (standard deviation) follow‐up of 10.2 (1.5) years, we documented 510 incident IBD cases, (143 Crohn's disease (CD) and 367 ulcerative colitis (UC)). Compared to non‐consumers, participants consuming >1 unit per day of sugar‐sweetened beverages were at significantly higher risk of IBD (HR 1.51, 95% CI 1.11–2.05), but the trend was non‐significant (p‐trend = 0.170). This association was significant for CD (HR 2.05, 95% CI 1.22–3.46), but not for UC (HR 1.31, 95% CI 0.89–1.92). We did not observe significant associations for the consumption of artificially sweetened beverages or natural juices. Conclusions Our findings suggest an association between consumption of sugar‐sweetened beverages, rather than artificially sweetened beverages or natural juices, and IBD risk.
Article
Full-text available
There have been promising results regarding the capability of statistical and machine-learning techniques to offer insight into unique metabolomic patterns observed in ASD. This work re-examines a comparative study contrasting metabolomic and nutrient measurements of children with ASD (n = 55) against their typically developing (TD) peers (n = 44) through a multivariate statistical lens. Hypothesis testing, receiver characteristic curve assessment, and correlation analysis were consistent with prior work and served to underscore prominent areas where metabolomic and nutritional profiles between the groups diverged. Improved univariate analysis revealed 46 nutritional/metabolic differences that were significantly different between ASD and TD groups, with individual areas under the receiver operator curve (AUROC) scores of 0.6–0.9. Many of the significant measurements had correlations with many others, forming two integrated networks of interrelated metabolic differences in ASD. The TD group had 189 significant correlation pairs between metabolites, vs. only 106 for the ASD group, calling attention to underlying differences in metabolic processes. Furthermore, multivariate techniques identified potential biomarker panels with up to six metabolites that were able to attain a predictive accuracy of up to 98% for discriminating between ASD and TD, following cross-validation. Assessing all optimized multivariate models demonstrated concordance with prior physiological pathways identified in the literature, with some of the most important metabolites for discriminating ASD and TD being sulfate, the transsulfuration pathway, uridine (methylation biomarker), and beta-amino isobutyrate (regulator of carbohydrate and lipid metabolism).
Article
Full-text available
There is emerging evidence that diet has a major modulatory influence on brain-gut-microbiome (BGM) interactions with important implications for brain health, and for several brain disorders. The BGM system is made up of neuroendocrine, neural, and immune communication channels which establish a network of bidirectional interactions between the brain, the gut and its microbiome. Diet not only plays a crucial role in shaping the gut microbiome, but it can modulate structure and function of the brain through these communication channels. In this review, we summarize the evidence available from preclinical and clinical studies on the influence of dietary habits and interventions on a selected group of psychiatric and neurologic disorders including depression, cognitive decline, Parkinson’s disease, autism spectrum disorder and epilepsy. We will particularly address the role of diet-induced microbiome changes which have been implicated in these effects, and some of which are shared between different brain disorders. While the majority of these findings have been demonstrated in preclinical and in cross-sectional, epidemiological studies, to date there is insufficient evidence from mechanistic human studies to make conclusions about causality between a specific diet and microbially mediated brain function. Many of the dietary benefits on microbiome and brain health have been attributed to anti-inflammatory effects mediated by the microbial metabolites of dietary fiber and polyphenols. The new attention given to dietary factors in brain disorders has the potential to improve treatment outcomes with currently available pharmacological and non-pharmacological therapies.