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Portion controlled ready-to-eat meal replacement is associated with short term weight loss: A randomised controlled trial

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Background and Objectives: Strategies to prevent and treat overweight/obesity are urgently needed. This study assessed the effect of a short-term intake of ready-to-eat cereal on body weight and waist circumference of overweight/ obese individuals in comparison to a control group. Methods and Study Design: A randomized, controlled 2-arm trial was carried out on 101 overweight/obese (Body Mass Index - 29.2±2.4 kg/m²) females aged 18 to 44 years, at St. John's Medical College Hospital. The intervention group received a low fat, ready to eat cereal, replacing two meals/day for two weeks. The control group was provided with standard dietary guidelines for weight loss and energy requirements for both groups were calculated similarly. Anthropometric, dietary, appetite and health status assessments were carried out at baseline and at the end of two weeks. Results: At the end of two weeks, the mean reductions in body weight and waist circumference were significantly greater in the intervention group, -0.53 kg; 95% CI (-0.86 to -0.19) for body weight and -1.39 cm; 95% CI (-1.78, -0.99) for waist circumference. The intervention group had a significantly higher increase in dietary intakes of certain vitamins, fiber and sugar, and significantly higher reductions in total and polyunsaturated fats and sodium intakes, as compared to the control group (p≤0.05). No significant differences were observed between the groups, in change of appetite, health and perception scales. Conclusions: Portion controlled, ready to eat cereal could be effective for shortterm weight loss, with some improvements in the nutrient intake profile. However, studies of longer duration are needed.
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Asia Pac J Clin Nutr 2017;26(6):1055-1065 1055
Original Article
Portion controlled ready-to-eat meal replacement is
associated with short term weight loss: a randomised
controlled trial
Rebecca Kuriyan PhD1, Deepa P Lokesh MSc1, Ninoshka D’Souza MSc1,
Divya J Priscilla BSc1, Chandni Halcyon Peris MSc1, Sumithra Selvam MSc2,
Anura V Kurpad MD, PhD1
1Division of Nutrition, St John’s Research Institute, St John’s National Academy of Health Sciences,
Bangalore, India
2Division of Epidemiology and Biostatistics, St John’s Research Institute, St John’s National Academy of
Health Sciences, Bangalore, India
Background and Objectives: Strategies to prevent and treat overweight/obesity are urgently needed. This study
assessed the effect of a short-term intake of ready-to-eat cereal on body weight and waist circumference of over-
weight/obese individuals in comparison to a control group. Methods and Study Design: A randomized, con-
trolled 2-arm trial was carried out on 101 overweight/obese (Body Mass Index – 29.2±2.4 kg/m2) females aged 18
to 44 years, at St. John’s Medical College Hospital. The intervention group received a low fat, ready to eat cereal,
replacing two meals/day for two weeks. The control group was provided with standard dietary guidelines for
weight loss and energy requirements for both groups were calculated similarly. Anthropometric, dietary, appetite
and health status assessments were carried out at baseline and at the end of two weeks. Results: At the end of two
weeks, the mean reductions in body weight and waist circumference were significantly greater in the intervention
group, -0.53 kg; 95% CI (-0.86 to -0.19) for body weight and -1.39 cm; 95% CI (-1.78, -0.99) for waist circum-
ference. The intervention group had a significantly higher increase in dietary intakes of certain vitamins, fiber
and sugar, and significantly higher reductions in total and polyunsaturated fats and sodium intakes, as compared
to the control group (p≤0.05). No significant differences were observed between the groups, in change of appetite,
health and perception scales. Conclusions: Portion controlled, ready to eat cereal could be effective for short-
term weight loss, with some improvements in the nutrient intake profile. However, studies of longer duration are
needed.
Key Words: weight loss, meal replacement, portion control, ready to eat cereal, Indian women
INTRODUCTION
Overweight and obesity have become global epidemics,
affecting both developed and developing countries. The
co-morbidities associated with these conditions create a
profound health burden.1 While their causes are multifac-
torial, the most evident contributing factors of overweight
and obesity are an increased intake of energy-dense foods,
sedentary lifestyle and a lack of physical activity.2 Asians
have higher risks of obesity related co-morbidities com-
pared with their white European counterparts, and this
occurs at a lower body mass index (BMI).3,4 In India,
overweight and obesity rates are 3 times higher in urban
than rural areas and are more common among women.5
About 24% of women in urban areas are overweight or
obese and these rates increase with advancing age and
higher incomes.5 India has a dual burden of diseases with
increasing prevalence of overweight and obesity existing
along with persisting rates of under-nutrition and micro-
nutrient deficiency, with 36% of the women being un-
derweight and having micro-nutrient deficiency.5 Thus,
strategies which can be used to prevent/treat weight gain
and improve the micro-nutrient status are warranted in
India.
The optimal management of overweight and obesity
requires a combination of diet, exercise, and behavioral
modification. Potential weight reduction diets include
low calorie, low fat, low carbohydrate, low glycemic in-
dex, high protein or high fibre and these diets have shown
to effectively reduce body weight, with improvements in
diabetes and cardio-vascular risk factors.6 The principal
of energy balance, however, still remains the cornerstone
of weight control.
Portion controlled meal replacement programs are
Corresponding Author: Dr Rebecca Kuriyan, Division of Nu-
trition, St John’s Research Institute, St John’s National Acade-
my of Health Sciences, Bangalore – 560034. India.
Tel: 91-80-49467000; Fax: 91-80-49467000
Email: rebecca@sjri.res.in
Manuscript received 11 May 2016. Initial review completed 24
June 2016. Revision accepted 26 July 2016.
doi: 10.6133/apjcn.022017.07
1056 R Kuriyan, DP Lokesh, N D’Souza, DJ Priscilla, CH Peris, S Selvam and AV Kurpad
popular dietary interventions designed to replace higher
calorie meals and include beverages, frozen entrees,
breakfast cereals, and meal/snack bars.7 Meal replace-
ment diet plans offer a viable strategy for controlling
weight, positively impacting health outcomes,8 with re-
sults of greater weight loss,7 adequate intake of essential
nutrients9,10 and long-term maintenance of weight loss.10
Participants consuming meal replacements reported better
dietary compliance and convenience, when compared to
conventional weight-loss programs.11 Ready to eat cereals
have been used successfully for weight loss12-14 and their
effectiveness has been attributed to their palatability,
which is resistant to hedonic shifts, and increased ac-
ceptance, since it is a dietary staple.12 A recent review15
summarized that ready to eat breakfast cereals are rela-
tively inexpensive, nutrient-dense and convenient foods,
which when consumed regularly may ensure adequate
nutrient intake and help in reducing the risks of being
overweight or of developing cardiovascular disease or
diabetes.
In spite of excessive dietary consumption, over-
weight/obese individuals could have micronutrient defi-
ciencies.16 Portion controlled, fortified ready to eat cere-
als could provide an effective way for reduc-
ing/maintaining weight, with beneficial effects on the
micro-nutrient status. A well-controlled study conducted
in India, where the socio-cultural and economic impera-
tives are different from affluent countries, could provide
new insights on the prevention/management of weight
gain.
The objectives of the present study were to primarily
assess the change in body weight and waist circumference
of overweight/obese individuals who consumed a low fat
ready-to-eat cereal for two weeks, in comparison to a
control group provided with standard dietary guidelines,
and secondarily, to assess the change in dietary, appetite,
and health status.
METHODS
The study was conducted in the Nutrition & Lifestyle
Clinic of St John’s Medical College Hospital, India, from
August 2014 to February 2015. The subjects were re-
cruited by posted flyers and through word of mouth. The
inclusion criteria were normal, healthy, premenopausal
women with a BMI of 25 to 34.9 kg/m2, and an age range
of 18 to 44 years. The subjects were mainly administra-
tive staff, nurses and doctors. The exclusion criteria were
any history of surgical intervention for the treatment of
obesity, weight loss or gain greater than 4.5 kg in the two
months prior to visit, use of any medications that could
affect weight, history or presence of any clinically signif-
icant medical conditions such as diabetes, polycystic ova-
ry syndrome, thyroid disease, cardiac, renal or hepatic
disorders. A sample size of 42 subjects per group was
considered adequate to detect a difference in weight loss
of 1.3 kg between the intervention and control groups,
assuming a pooled standard deviation of 1.6 kg with a
two-tailed alpha of 0.05 and 90% power. The study was
approved by the Institutional Ethical Review Board (IEC
Study Ref No. 52/2014) of St. John’s Medical College,
Bangalore. Informed consent was obtained from all the
participants.
Study design
The study was a randomised, controlled, open label trial
with two groups. After recruitment, the subjects were
randomised into either a low fat cereal group (Interven-
tion group) or the usual care group (Control group), using
simple randomisation. An online random sequence gener-
ator was used by the statistician, to generate a digit se-
quence containing 1 s and 2 s (50 each) in random order
that was kept in a folder in the co-investigators office.
Group assignment was performed by a staff member re-
ferring to the sequence and assigning the participant to
the group represented by the next digit in the sequence.
The sheet was kept safely in the custody of the co-
investigator. None of the study staff, except the nutrition-
ist who planned the diet and served the breakfast, were
aware of the group to which the participants were as-
signed. The participants were not blinded to the interven-
tion. The study has been registered under the Clinical
Trials Registry of India (Clinical Trial Registry - India -
Ref No: Ref/2014/11/007883).
Intervention
The intervention was a fixed energy (250 kcal per meal)
control program with dietary energy allocated for two
meals (breakfast and another meal of the day), for a dura-
tion of two weeks. Each time, the intake of a sachet of 30
g of low fat cereal (ingredient and nutrition information
are provided in Table 1) was advised, with 120 mL skim
milk and a serving of fruit or vegetables. Subjects were
instructed not to consume any additional food for break-
fast or for the second meal eaten at lunch or dinner. The
third meal was recommended as a normal meal (the meal
that they routinely ate). Individualized dietary advice was
provided to all the subjects, with options for snacks and
the third meal. The subjects were provided with a week’s
supply of the intervention product and were asked to
bring back the empty sachets during their visits. They
were also asked to fill in a compliance log to record the
consumption of the intervention product and were asked
to register if they consumed/did not consume the inter-
vention at breakfast, lunch or dinner.
Control group
The control group was only prescribed dietary advice,
along with a diet sheet/ handout with recommendations
for portion sizes and exchanges for the whole day. No
meals were provided to the control group.
The energy requirement for the subjects of both the in-
tervention and control groups were calculated based on
BMI, ideal body weight (IBW) and activity levels. 1 7
About 25 kcal/kg IBW was prescribed for overweight
subjects, while obese subjects were prescribed energy at
22 kcal/kg IBW. The macronutrient distribution was 60-
65% of total energy for carbohydrates, 12-15% for pro-
tein and 20-25% of fat. All the participants received a
handout which provided an individualized diet plan. The
energy requirements for the day were divided into three
meals and two snacks. Dietary advice on portion size,
meal frequency, food exchanges and recommended foods
were also provided to the patients as per these guide-
lines,17 in order to translate the macronutrient advice to
food. Trained nutritionists advised the individuals on
Ready-to-eat cereal and short term weight loss 1057
their food intake.
Anthropometry
Fasting body weight was recorded using a calibrated digi-
tal weight scale (Salter, Germany) to the nearest 0.1 kg.
Height was measured to the nearest 0.1 cm using a mobile
stadiometer (Seca 213, USA). BMI was calculated as
Weight (kg)/Height (m2). Waist circumference, ab-
dominal waist and hip circumference were measured us-
ing a non-stretchable tape (ADC396, USA) using stand-
ard procedures.18 Waist circumference was measured at
the narrowest part between the last rib and the iliac crest.
Abdominal waist circumference was measured at the lev-
el of the greatest anterior extension of the abdomen in a
horizontal plane (usually at the level of the umbilicus),
between the last rib & the iliac crest, while hip circumfer-
ence was measured with the tape placed around the but-
tocks in a horizontal plane at the level of maximum ex-
tension of the buttocks.18 All the measurements were
measured thrice to the nearest 0.1 cm and the mean of the
three readings was taken. These measurements were car-
ried out on Days 1 and 14 by trained nutritionists. Meas-
urements on each subject on different visits were done by
the same examiner to reduce variability. The within and
between measurer coefficient of variation (CV) was 0.2%
and 0.3% respectively.
Dietary intake
The dietary intake of each subject was assessed using a 3-
day food record method on two occasions (before the start
of study and end of study) and included two weekdays
and a weekend day. The subjects were trained on how to
record their intake. The training of participants on re-
cording their dietary intake was performed by a nutrition-
ist, while another nutritionist analysed the dietary records.
Energy and nutrient intake was computed using a nutrient
database for Indian foods19 and from the United States
Department of Agriculture, USDA.20
Visual analogue scale
Four 100 mm visual analogue scales (VAS)21 were used
to assess satiety on days 1 and 14. The four variables
were hunger, fullness, urge to eat and thoughts of food.
Subjects were requested to make a vertical mark on each
line that best matched how they were feeling at the time.
Each score was determined by measuring the distance
from the left side of the line to the mark. The VAS was
first administered in the fasted state. The subjects were
then provided breakfast at the study site, under the super-
vision of the study staff. The intervention group received
the product, while the control group was provided with a
breakfast (south Indian idli with chutney) which was
equal in calories (250 kcals) to the intervention product.
The VAS scale was administered again after breakfast.
Each time, the VAS was administered in triplicate, and
the scores were calculated from the mean of the three
readings for both time points (pre- breakfast and post
breakfast).
Questionnaires
Health status (SF-36)22 and physical activity23 question-
naires were administered on days 1 and 14, perception
and program acceptability questionnaires were adminis-
tered on day 14, and compliance to dietary intervention
was administered on days 7 and 14. The perceived com-
pliance of the subjects to the prescribed dietary advice
Table
1
Nutrient and ingredient information of the intervention
Nutrition and ingredient information
Typical value for 30 g 30 g serving with
120 mL of skim milk (% RDA)§
Energy 109 kcal 144 kcal
Energy from fat 3 kcal 4 kcal
Total fat 0.3 g 0.4 g
Saturated fatty acids 0.1 g 0.2 g
Monounsaturated fatty acids 0.1 g 0.1 g
Polyunsaturated fatty acids 0.1 g 0.1 g
Trans fatty acids 0.0 g 0.0 g
Cholesterol 0.0 mg 0.0 mg
Total carbohydrates 25.6 g 31.1 g
of which sugar (Sucrose) 7.5 g 7.5 g
Dietary fibre 1.5 g 1.5 g
Protein 2.5 g 5.5 g
Sodium 0.20 g 0.25 g
Vitamin A 30.0 µg 35.4 µg 6
Vitamin C 9.9 mg 11.1 mg 28
Thiamine (Vit B-1) 0.3 mg 0.3 mg 30
Riboflavin (Vit B-2) 0.3 mg 0.3 mg 32
Niacin (Vit B-3) 4.1 mg 4.2 mg 35
Vitamin B-6 0.5 mg 0.5 mg 25
Vitamin B-12 0.1 µg 0.7 µg 68
Folate 25.2 µg 25.2 µg 13
Ingredients: rice (36.15 %), whole wheat (33.24 %), sugar, wheat bran (4.74 %), liquid glucose, iodised salt, malt extract, vitamins, min-
erals and antioxidant (INS320). Contains gluten, may contain traces of almond (tree-nut).
If cereal is had with cow’s milk, the energy value will increase b y 46 kcals and the fat by 4.8 g.
§RDA, Recommended Dietary Allowance. RDA per day for sedentary women basis. Nutrient Requirements and RDA for Indians by
ICMR, 2010.
1058 R Kuriyan, DP Lokesh, N D’Souza, DJ Priscilla, CH Peris, S Selvam and AV Kurpad
was recorded at the end of two weeks, by asking the sub-
jects to orally express their level of compliance on a scale
of 0-100%.
Statistical Methods
Assumption of normality was assessed using a Q-Q plot.
The data were presented as mean ± standard deviation for
normally distributed continuous variables. The primary
outcome of the study was the change in weight and waist
circumferences from baseline. The analyses for the pri-
mary objective was carried out using both per protocol
(PP) and “Intention to Treat” (ITT) principle. In the ITT
analysis, all subjects randomized into the study, were
considered for statistical analyses. For the 9 subjects who
dropped out for the end measurement, the baseline obser-
vation carried forward approach was used. The change
(difference) in each parameter was computed between
two time points (Day 14- Day 1) for all the parameters.
Baseline characteristics were compared between the study
groups using an independent t test. The independent ‘t’
test was used to compare the change in anthropometric
characteristics between the study groups for both PP and
ITT analysis. The change in the secondary outcomes of
VAS parameters, which were not normally distributed,
were analyzed using the Mann Whitney U test. Within
group comparison was carried out using paired t test
analysis. In addition, anthropometric parameters were
analyzed using analysis of covariance (ANCOVA) to
assess the effect of intervention at endline and adjusting
for baseline measurements as a covariate. Dietary intake
parameters were analyzed between groups using the
Mann Whitney U test. Additionally, for dietary intake
parameters that were significantly different at the baseline
(vitamin A, sugar and protein) between the study groups,
ANCOVA was carried out, adjusting for baseline values.
All analyses were carried out using SPSS version 22 and
the significance level was set at p≤0.05 (two-sided).
RESULTS
The flowchart of the subjects is provided in Figure 1. A
total of 110 subjects were recruited. The mean age of the
subjects was 30.9±6.4 years, with no significant differ-
ence between the two groups. The monthly income and
educational status were comparable between the groups.
The mean weight, BMI, waist circumference, abdominal
waist circumference and hip circumference of the subjects
were 70.8±7.4 kg, 29.2±2.4 kg/m2, 84.8±6.1 cm, 95.3±7.0
cm and 105.9±6.3 cm respectively. There were no signif-
icant differences in the anthropometric parameters be-
tween the two groups at the baseline. The demographic
characteristics of the non-responders (loss to follow up)
were comparable to the responders of the study.
Figure 2 depicts the comparison of pre post differ-
ence in measures between the study groups for body
weight, waist and hip circumferences.
Table 2 depicts the baseline parameters of the two
groups and there were no significant differences between
the study groups. The mean change (ITT analysis) in
body weight, waist circumference, abdominal waist and
hip circumferences from Day 1 to Day 14 were signifi-
Figure 1. Participant flow diagram.
Ready-to-eat cereal and short term weight loss 1059
cantly higher in the intervention group as compared with
the control (p<0.01) (Table 3). The results of the PP anal-
ysis were similar and the mean change was significantly
higher in the intervention group as compared with the
control group (p<0.01). The ANCOVA results (not de-
picted) also showed that the body weight, waist circum-
ference, abdominal waist and hip circumferences were
significantly different between the groups at the end of
the study, after adjusting for baseline values. For analyses
performed within each study group, significant reductions
were observed in both groups from day 1 to day 14 for all
anthropometric parameters (p<0.001), although the reduc-
tions were significantly greater in the intervention group
(p<0.01). The effect size for Body weight and BMI was
0.3 for both PP and ITT analysis, while waist circumfer-
ence, abdominal waist and hip circumference was 0.5 for
PP analysis and 0.6 for ITT analysis.
The mean change in appetite assessment parameters
were not significantly different between groups (Table 4).
In both groups, paired analysis of the mean change at the
end of the study showed significant reductions in the
thoughts of food, urge to eat and hunger, with significant
increases in the feeling of fullness (p<0.001; data not
shown).
The dietary analysis data showed that, when compared
to the control group, the reductions in intakes of total fat,
polyunsaturated fatty acid (PUFA) and sodium, along
with the increases in the intakes of niacin, vitamin B-6,
B-12, fiber and sugar were significantly greater in the
intervention group (p<0.01). The dietary intake of vitamin
B-6 in the intervention group increased by 20% (from an
intake of 65% of daily recommended value24 to 85%)
from Day 1 to Day 14, while in the control group, it de-
creased by 15% (from an intake of 70% of daily recom-
mended value to 55%). Similarly, dietary fiber increased
by 3% (from an intake of 22% to 25% of daily recom-
mended value) in the intervention group, while it d e-
creased by 1.4% (from an intake of 21% to 19.6 % of
daily recommended value) in the control group. The die-
tary intakes of niacin and vitamin B-12 of both the groups
met the recommended intakes on Day 1 and further in-
creased in the intervention group, but decreased in the
control group on Day 14 (Table 5). Conversely, total die-
tary fat intake reduced from 27.5% of total energy to
20.5% in the intervention group, while in the control
group it decreased from 27.5% total energy to 25.2%.
PUFA levels decreased by 3% (from 10% to 7% of total
energy) in the intervention group. Sodium intake in the
intervention group was 126% of the recommended intake
(1.9 g/day) on Day 1, but reduced to 63% of the recom-
mended intake on Day 14, while in the control group the
sodium intake did not decrease to the level of recom-
mended intake. These results are depicted in Table 5.
The results of ANCOVA analysis (data not shown) had
Figure 2. Comparison of pre – post difference in measures between the study groups for body weight, waist and hip (Intention to Treat
ITT analysis). (a) Pre-post difference in body weight between the two groups; (b) Pre-post difference in wa ist circumference between the
two groups; (c) Pre-post difference in hip circumference between the two groups. N=56 (Intervention Group) and N=54 (Control Group).
Table 2. Baseline parameters of the study groups
Parameter Overall
(N=101)
Intervention group
( N=51)
Control group
(N=50) p value§
Age (yrs) 31.0±6.5 30.5±6.3 31.6±6.6 0.38
Weight (kg) 70.8±7.4 70.6±7.9 71.1±7.0 0.76
BMI (kg/m
2
) 29.2±2.4 29.0±2.3 29.3±2.5 0.54
Waist circumference (cm)
84.8±6.1 85.3±5.4 84.3±6.8 0.40
Abdominal waist circumference (cm)
95.3±6.9 95.3±6.8 95.3±7.3 0.98
Hip circumference (cm)
105.9±6.3 104.9±6.4 107.0±6.0 0.09
Physical activity level
1.59±0.16 1.61±0.16 1.57±0.15 0.17
BMI: body mass index.
All values are Mean±SD.
Waist circumference was measured at the narrowest part between the last rib & the iliac crest; abdominal waist circumference was meas-
ured at the level of the greatest anterior extension of the abdomen in a horizontal plane (usually at the level of the umbilicus), between the
last rib & the iliac crest; hip circumference was measured with the tape placed around the buttocks in a horizontal plane at the level of
maximum extension of the buttocks.18 Physical activity level was assessed using a validated questionnaire.23
§p value - Values were analyzed between study groups using independ ent t test
1060 R Kuriyan, DP Lokesh, N D’Souza, DJ Priscilla, CH Peris, S Selvam and AV Kurpad
similar statistical significance. Thiamine and Vitamin A
intakes did not show any significant differences for both
groups at the end of the study, compared with the baseline.
There were no significant changes observed in the
health and perception assessment parameters between the
groups at the end of the study. The self-reported compli-
ance of the subjects to the prescribed dietary advice was
significantly higher in the intervention group compared
with the control group (90.1% vs 81.5%; p<0.01) at the
end of the study. There were no changes in the physical
activity levels in either group from day 1 to day 14.
T
able 3
.
Comparison of anthropometric parameters between study groups
Intention to Treat (ITT) analysis
Parameter Intervention group
(N=56)
Control group
(N=54) p value§
Weight (kg) Day 1 70.4±8.1 70.8±7.8 0.75
Day 14 69.2±8.1 70.2±7.8 0.53
Change -1.2±0.9 -0.7±0.8 <0.01
*
BMI (kg/m
2
) Day 1 29.0±2.3 29.2±2.7 0.66
Day 14 28.5±2.4 28.9±2.7 0.39
Change -0.5±0.4 -0.3±0.3 <0.01
*
Waist circumference (cm)
Day 1 84.9±5.9 84.5±7.3 0.77
Day 14 82.6±5.7 83.5±7.3 0.45
Change -2.3±1.2 -1.0±0.9 <0.001
*
Abdominal waist circumference (cm)
Day 1 94.9±7.5 95.7±7.5 0.58
Day 14 92.7±7.5 94.9±7.5 0.13
Change -2.2±1.3 -0.8±0.8 <0.001
*
Hip circumference (cm)
Day 1 105.0±6.8 106.8±6.1 0.16
Day 14 103.9±6.8 106.4±6.1 <0.05
*
Change -1.1±0.8 -0.4±0.4 <0.001
*
BMI: body mass index.
All values are Mean±SD.
Waist circumference was measured at the narrowest part between the last rib & the iliac crest; abdominal waist circumference was
measured at the level of the greatest anterior extension of the abdomen in a horizontal plane (usually at the level of the umbilicus), be-
tween the last rib & the iliac crest; hip circumference was measured with the tape placed around the buttocks in a horizontal plane at the
level of maximum extension of the buttocks.18
§p value - Day1, Day 14 and change in values were analyzed between study groups using independent t test.
Table 4. Comparison of Visual Analogue Scale parameters on Day 1, for pre and post breakfast between study groups
Parameter Intervention
(N=51)
Control
(N=50)
p value§
Day 1 - Thoughts of food Pre breakfast 30.8±23.7 25.7±17.1
0.48
Post breakfast 16.3±15.5 12.7±13.9
0.33
Change -14.4±18.6 -13.0±19.7
0.97
Day 1 - Urge to eat Pre breakfast 31.2±25.0 26.0±14.5
0.71
Post breakfast 14.0±16.3 10.1±10.6
0.35
Change -17.1±21.4 -15.9±13.7
0.60
Day 1 - Hunger Pre breakfast 32.0±23.8 33.4±18.5
0.39
Post breakfast 15.4±17.3 13.3±16.4
0.46
Change -16.6±19.3 -20.1±21.0
0.22
Day 1 - Feeling of fullness Pre breakfast 21.5±20.0 34.5±25.9
<0.01
*
Post breakfast 71.5±26.2 81.1±20.8
0.12
Change 50.0±29.9 46.6±27.8
0.74
Day 14 - Thoughts of food Pre breakfast 30.2±27.5 26.0± 18.5
0.94
Post breakfast 13.0±13.0 9.9±11.2
0.27
Change -17.2±25.8 -16.1±18.2
0.43
Day 14 - Urge to eat Pre breakfast 34.1±28.6 31.1±19.1
0.99
Post breakfast 13.0±13.8 7.7±8.2
0.08
Change -21.1±25.2 -23.3±18.5
0.28
Day 14 - Hunger Pre breakfast 33.0±26.2 33.6±21.9
0.70
Post breakfast 13.0±13.0 10.6±12.6
0.25
Change -20.1±24.3 -23.1±19.8
0.25
Day 14 - Feeling of fullness
Pre breakfast 28.9±25.5 34.1±23.6
0.21
Post breakfast 77.0±21.7 82.1±19.2
0.35
Change 48.1±34.3 48.0±25.3
0.99
All values are mean±SD.
Change calculated as Post Breakfast- Pre Breakfast.
§p value – Pre, Post and Change in values were analyzed between study groups using Mann Whitney U test.
Ready-to-eat cereal and short term weight loss 1061
Table
5
.
Comparison of average dietary intake of the study subjects betwe
en study groups
Parameter Intervention (N=51) Control (N=50)
p
value
§
Energy (kcals) Day 1 1548.4±465.8 1587.0±447.5 0.67
Day 14 1074.7±260.7 1145.6±207.3 0.14
Change -470.4±408.4 -433.8±433.8 0.47
Protein (g) Day 1 49.8±14.8 55.4±18.6 0.09
Protein (% Energy) 13.0±2.2 13.9±2.5 0.05
Protein (g) Day 14 38.0±9.5 37.6±8.8 0.85
Protein (% Energy) 14.2± 1.8 13.2±2.6 0.71
Change(g) -11.6±13.0 -17.3±19.4 0.19
Fat (g) Day 1 48.8±21.7 49.3±18.2 0.89
Fat (% Energy) 27.5±5.8 27.5±4.4 0.99
Fat (g) Day 14 25.4±10.9 32.3±9.1 <0.01
*
Fat (% Energy) 20.5±4.7 25.2±4.4 <0.01
*
Change (g) -23.1±18.8 -16.7±17.3 0.05
*
Carbohydrate (g) Day 1 228.6±64.4 231.6±63.0 0.81
Carbohydrate (% Energy) 59.7±5.9 58.8±5.6 0.43
Carbohydrate (g) Day 14 176.7±37.1 176.8±33.7 0.98
Carbohydrate (% Energy) 65.8±5.1 61.9±5.7 0.80
Change(g) -51.9±59.9 -54.0±61.7 0.97
Fiber intake (g) Day 1 6.7±2.9 6.3±2.7 0.55
Day 14 7.5±2.3 5.9±2.4 <0.01
*
Change 1.0±3.0 -0.5±4.0 0.03
*
Saturated fat (g) Day 1 16.9±9.1 18.1±8.4 0.51
Day 14 8.3±4.2 10.9±4.1 <0.01
*
Change -8.5±7.7 -7.1±8.3 0.33
Monounsaturated fat (g) Day 1 10.9±5.1 11.3±4.9 0.69
Day 14 5.8±2.7 7.3±2.4 <0.01*
Change -5.1±4.7 -3.9±4.9 0.07
Polyunsaturated fat (g) Day 1 17.2±8.1 16.3±5.9 0.50
Day 14 8.4±4.7 11.8±4.0 <0.001
*
Change -8.7±7.4 -4.4±6.0 <0.01
*
Cholesterol (mg) Day 1 114.2±99.5 128.6±87.5 0.44
Day 14 49.5±37.3 69.9±51.6 <0.05
*
Change -64.2±93.1 -55.0±82.8 0.53
Vitamin A (mcg) Day 1 337.3±229.2 263.8±108.5 <0.05
*
Day 14 313.5±158.3 254.3±124.1 <0.05
*
Change -25.3±228.1 -4.2±144.6 0.68
Thiamin (mg) Day 1 1.4±2.2 1.1±1.1 0.49
Day 14 1.1±0.2 0.84±0.2 <0.001
*
Change -0.3±2.3 -0.3±1.2 0.006
Riboflavin (mg) Day 1 0.9±0.4 0.9±0.3 0.89
Day 14 0.8±0.2 0.7±0.2 <0.05
*
Change -0.1±0.4 -0.2±0.3 0.05
*
Niacin (mg) Day 1 13.0±4.4 14.1±5.2 0.26
Day 14 14.8±2.8 9.4±3.0 <0.001
*
Change 1.8±4.2 -4.7±6.0 <0.001
*
Vitamin C (mg) Day 1 72.5±44.6 64.7±80.5 0.55
Day 14 95.2±61.7 68.6±70.6 0.05
Change 23.5±68.6 3.2±106.7 0.39
Vitamin B-6 (mg) Day 1 1.3±0.5 1.4±0.5 0.40
Day 14 1.7±0.3 1.1±0.3 <0.001
*
Change 0.4±0.5 -0.3±0.5 <0.001
*
Folate (mcg)
Day 1 202.2±85.9 195.1±105.4 0.71
Day 14 153.4±49.5 149.0±40.8 0.64
Change -43.1±77.3 -43.6±117.5 0.43
Vitamin B-12
(mcg)
Day 1 1.3±1.3 1.6±1.5 0.24
Day 14 2.1±0.8 0.9±0.8 <0.001
*
Change 0.9±1.4 -0.63±1.6 <0.001
*
Sugar (g) Day 1 18.9±11.8 23.6±15.5 0.09
Day 14 28.5±10.4 14.6±8.5 <0.001
*
Change 9.6±10.2 9.0±15.8 <0.001
*
Sodium (g) Day 1 2.4±1.0 2.4±1.0 0.92
Day 14 1.2±0.6 2.0±0.6 <0.001
*
Change -1.2±1.0 -0.5±0.8 <0.001
*
All values are mean±SD
Day 1values refer to 3 day food recall before the start of the study; Day 14 values refer to 3 day food recall at the end of the two weeks.
“Change” was calculated as Day 14 – Day 1
§p value – Day1, Day 14 and Change in values were analyzed between study groups using Mann Whitney U test.
All values were calculated from our database using recipes which used values obtained from both NIN & USDA.19,20
1062 R Kuriyan, DP Lokesh, N D’Souza, DJ Priscilla, CH Peris, S Selvam and AV Kurpad
DISCUSSION
Portion-controlled meal replacements, included as part of
a structured meal plan, have been shown to be a safe and
effective method for increasing dietary compliance and
providing clinically meaningful and sustainable weight
loss and improvements in weight-related disease risk fac-
tors.8,25,26 The present study showed that significantly
greater reductions were observed in body weight and
waist circumference of overweight and obese individuals,
consuming a portion controlled low fat ready-to-eat cereal
for two weeks, when compared with the control group.
Additional beneficial changes in the intervention group
included a significantly lower dietary intake of total fat,
polyunsaturated fats and sodium. The intervention group
had higher intakes of niacin, vitamin B-6, B-12 and fiber
at the end of the two week program. The reduction in
body weight and waist circumference observed in the
present study was similar to previous studies conducted in
other populations.12,15,27
The rapid initial weight loss observed within the first
week of weight reducing programs are thought to be due
to the diuresis associated with loss of glycogen stores.28,29
The amount of glycogen in skeletal muscle is about 400-
500 g, while about 70-100 g is stored in the liver.30 When
glycogen stores are completely depleted, along with the
loss of associated water (1 g of glycogen carries 3 g of
water with it), then the expected weight loss would be
about 1-1.5 kg. The observed weight loss of the present
study was within this range, however the intervention in
the present study would not have completely depleted the
entire glycogen stores, since the carbohydrate intake of
the subjects of the intervention group was high -176 g/day
(~65% of the total energy) at Day 14. It is not possible
to estimate the proportion of fat loss in the body weight
loss, however, one can surmise that since the waist cir-
cumference of the intervention group decreased by 2.3 cm,
compared with 1cm in the control group, it is reasonable
to assume that this would be abdominal fat loss. A recent
study with an adult intervention of a ready to eat cereal,
as part of meal replacement plan for two weeks reported a
significant reduction of 1.6 (1.4) kg in body weight, of
which a significant 0.7 (0.8) kg reduction in body fat
mass (measured by Dual energy X-ray absorptiometry)
also occurred.31 This indicates that in this paradigm of
rapid weight loss, about 50% of the weight lost was body
fat.
The two week intervention period of the present study
assessed only short-term weight loss. As such, short term
meal replacement plans (for ~14 days) have been used
previously as motivation tools to encourage long term
dietary change, and have reported about 2 kg reductions
in body weight in otherwise healthy overweight and
obese individuals.12,13,27 That this weight loss is sustained,
is demonstrated from the observation that initial weight
loss (percentage weight loss after one month) was ob-
served to be one of the strongest predictors of long term
weight loss success, in a weight reduction programme.32
The reason for the sustained weight loss could be due to
an improvement in quality of life factors such as general
appearance, body image, physical mobility, energy and
perceived health during the first four weeks of a weight
control program, which have been associated with greater
weight reductions at end of treatment. Positive quality of
life changes may serve as re-inforcers, increasing healthy
behaviors and healthy habit learning, leading to success-
ful weight loss and maintenance.33 Equally, failures of
weight loss programs are also common, and while short
term interventions for initial weight loss can be useful as
an effective motivator, continued interventions for a
longer duration of time are needed to sustain the weight
loss/weight management.
The participants in the intervention group showed some
ancillary beneficial effects in the dietary intake, with a
decrease in dietary fat and sodium intake, while the intake
of fiber and vitamins such as niacin, vitamin B-6, and B-
12 significantly increased at the end of two weeks, when
compared to the control group. The low fat ready to eat
cereal was fortified with B vitamins and enriched with
whole grains which increased the fiber content, and
helped in improving the diet quality, even while on a re-
duced energy diet. Since biomarker levels were not meas-
ured in this study due to budgetary constraints, future
studies need to confirm these beneficial findings by esti-
mating biomarker levels. The fat intake of the interven-
tion group decreased significantly by 47% at the end of
the study compared with the baseline, which was similar
to earlier reports in meal replacement programs.9,10 Partial
meal replacement plans, especially ready to eat cereals,
have been earlier associated with higher micronutrient
intake when compared with controls,9,16,34,35 suggesting
that these plans could help in assisting weight loss along
with improvement in the quality of the diet. The interven-
tion of (cereal+ milk) together in the present study pro-
vided 7.5 g total sugar per serving of 30 g (25% sugar by
weight). Converse to these beneficial changes in the diet,
the intake of free sugar in the intervention group in-
creased from 5% of total energy intake on Day 1 to ~10%
on Day 14. However, this increase was within the upper
limit (5-10% of total energy intake) set by the WHO36 for
the intake of free sugars. Data are not available from pre-
vious studies on the magnitude of change in the dietary
sugar intake, following the consumption of ready to eat
cereals, but in the light of new recommendations on re-
stricting free sugar intake,36 attention should also be given
to this aspect of the diet. It is worth noting that significant
weight loss and reductions in waist circumference were
observed in the intervention group, in spite of the signifi-
cant increase in dietary sugar intake. Possible reasons
include the significant decrease in total energy intake and
dietary fat. Existing evidence supporting a link between
total sugar intake and obesity is lacking or weak and it
has been suggested that advice relating to sugar in the
context of weight management should be directed at en-
suring adequate nutrient intakes.37 Thus, the small but
significant increase in sugar intake of the intervention
group (from day 1 to day 14) compared with the control
group, did not have an effect on the weight loss results.
Participants consuming meal replacements have previ-
ously reported greater compliance and convenience com-
pared to those in a conventional weight-loss program,11
which are characteristics that could enhance adherence. In
the present study, the compliance (self-reported) of the
intervention group to the prescribed dietary advice was
significantly higher than the control group, suggesting
Ready-to-eat cereal and short term weight loss 1063
that the ready-to-eat portion controlled cereal intervention
could have augmented greater compliance to the diet and
dietary advice provided, resulting in subsequent weight
loss. An additional plausible behavioral mechanism that
has been postulated, is that the amount of food offered as
a meal replacement may be accepted by the individual as
the ‘‘norm’’ for the meal, and they then may not compen-
sate, i.e. eat extra at the next meal, thus leading to an en-
ergy deficit.38
To our knowledge, this is the first study in which sub-
jects of both an intervention and control group were pre-
scribed similar daily energy intakes, and is therefore nov-
el, as the increased weight loss in the intervention group
occurred within a rigorously conducted intervention trial
format. The present study also demonstrated reductions in
waist and hip circumferences about 2.5 and 3 times great-
er, respectively, in the intervention group compared with
the control group, in spite of similar energy intakes. The
observed beneficial effects on body weight and circum-
ferences were not likely to be due to differences or
changes in physical activity, since the physical activity of
both the groups were not significantly different at the start
of the program and all study participants were advised to
continue with their existing physical activity patterns for
the two week duration.
The cause for the increased weight loss is likely to be
multifactorial, as discussed below. The energy intake of
subjects in both the groups decreased progressively by
approximately 400 kcal/day (470 in intervention group
and 434 in control group) at the end of the two week pro-
gram, but the intervention group had significantly greater
reductions in body weight and waist circumference. The
significant difference in weight loss, in the absence of a
significant difference in reported energy intake between
the two groups, may be due to better compliance to the
program, as reported by the intervention group, or it could
be an indication of higher inaccuracies in dietary intake
reporting by the control group. One of the reasons for the
efficacy of a meal replacement program in weight reduc-
tion is attributed to better portion control, which could
result in reduced errors in reporting dietary intake, due to
automatic portion control of the pre-weighed meal. Self-
reported dietary intake data has been shown to be under-
reported in overweight individuals and individuals want-
ing to lose weight.39,40 It has also been observed that indi-
viduals who under-report, generally report consuming a
greater amount of healthy foods like fruits and vegetables
and consuming less unhealthy foods such as pastries.41
Thus, while under-reporting may have occurred in both
groups, it is possible that there was a greater degree of
under-reporting in the control group, and this could have
been one of the reasons for conflicting findings of similar
energy intakes, but greater reductions in body weight and
waist circumference in the intervention group.
The cost of the intervention (cereal, milk and fruit) was
about Rs 125-135 (~1.8-2 USD/day) and Rs 1900 (~28
USD) for the two week duration. The intervention re-
placed two meals in a day, and since the cost of the two
regular meals would approximately be the same or more,
the cost implications of the intervention were not high,
even if continued for a follow up period of greater than
two weeks.
The present study had certain limitations – the study
was only performed for two weeks and did not schedule
any follow up visits. Only female participants were stud-
ied and it is also possible that in these premenopausal
women of both study groups, menstrual cycle could have
been a confounder. Blinding of the subjects to the as-
signed groups was not possible in the present study and
this could have had some effect on compliance. The pro-
vision of free intervention product as compared with the
usual care advice may have introduced some bias, how-
ever this was not explored.
Conclusion
Portion controlled meal replacements can be used as an
effective strategy for short term weight loss with signifi-
cant improvement in the nutrient profile of the individual.
However, for prolonged maintenance of weight loss, a
judicious combination of diet, physical activity and be-
havior modifications needs to be followed. Future studies
need to investigate the effects over long periods of time in
obese and overweight populations to gauge the efficacy
of ready to eat cereals on sustained reduction in body
weight.
ACKNOWLEDGEMENTS
The authors would like to thank all the subjects of the study.
AUTHOR DISCLOSURES
The authors did not have any conflict of interest. Financial sup-
port was by Kellogg India Private Limited.
REFERENCES
1. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL,
Anis AH. The incidence of co-morbidities related to obesity
and overweight: a systematic review and meta-analysis.
BMC Public Health. 2009;9:88. doi: 10.1186/1471-2458-9-
88.
2. Prentice AM. The emerging epidemic of obesity in
developing countries. Int J Epidemiol. 2006;35:93-9. doi: 10.
1093/ije/dyi272.
3. Deurenberg-Yap M, Schmidt G, Van Staveren WA,
Deurenberg P. The paradox of low body mass index and
high body fat percentage among Chinese, Malays and
Indians in Singapore. Int J Obes. 2000; 24:1011-7.
4. Wen CP, Cheng TY, Tsai SP, Chan HT, Hsu HL, Hsu CC,
Eriksen MP. Are Asians at greater mortality risks for being
overweight than Caucasians? Redefining obesity for Asians.
Public Health Nutr. 2009;12:497-506. doi: 10.1017/S136898
0008002802.
5. International Institute for Population Sciences. India
National Family Health Survey (NFHS-3), 2005-06.
Mumbai, India. International Institute for Population
Sciences; 2007.
6. Makris A, Foster GD. Dietary approaches to the treatment of
obesity. Psychiatr Clin North Am. 2011;34:813-27. doi: 10.
1016/j.psc.2011.08.004.
7. Heymsfield SB, Van Mierlo CA, Van der Knaap HC, Heo
M, Frier HI. Weight management using a meal replacement
strategy: meta and pooling analysis from six studies. Int J
Obes. 2003;27:537-49. doi: 10.1038/sj.ijo.0802258.
8. Davis LM, Coleman C, Kiel J, Rampolla J, Hutchisen T,
Ford L, Andersen WS, Hanlon-Mitola A. Efficacy of a meal
replacement diet plan compared to a food-based diet plan
after a period of weight loss and weight maintenance: a
randomized controlled trial. Nutr J. 2010;9:11. doi: 10.1186/
1064 R Kuriyan, DP Lokesh, N D’Souza, DJ Priscilla, CH Peris, S Selvam and AV Kurpad
1475-2891-9-11.
9. Ashley JM, Herzog H, Clodfelter S, Bovee V, Schrage J,
Pritsos C. Nutrient adequacy during weight loss
interventions: a randomized study in women comparing the
dietary intake in a meal replacement group with a traditional
food group. Nutr J. 2007;6:12.
10. Ditschuneit HH, Flechtner-Mors M. Value of Structured
Meals for Weight Management: Risk Factors and Long-
Term Weight Maintenance. Obes Res. 2001;9:284S-9S.
11. Noakes M, Foster PR, Keogh JB, Clifton PM. Meal
replacements are as effective as structured weight-loss diets
for treating obesity in adults with features of metabolic
syndrome. J Nutr. 2004;134:1894-9.
12. Mattes RD. Ready-to-eat cereal used as a meal replacement
promotes weight loss in humans. J Am Coll Nutr. 2002;21:
570-7. doi: 10.1080/07315724.2002.10719257
13. Vander Wal JS, McBurney MI, Cho S, Dhurandhar NV.
Ready-to-eat cereal products as meal replacements for
weight loss. Int J Food Sci Nutr. 2007;58:331-40.
14. Ortega RM, López-Sobaler AM, Rodríguez RE, Bermejo
LM, García GL, López PB. Response to a weight control
program based on the approximation of the diet to the
theoretical ideal. Nutr Hosp. 2005;20:393-402.
15. Williams PG. The benefits of breakfast cereal consumption:
a systematic review of the evidence base. Adv Nutr. 2014;5:
636S-73S. doi: 10.3945/an.114.006247
16. Via M. The malnutrition of obesity: micronutrient
deficiencies that promote diabetes. ISRN Endocrinol. 2012;
2012:103472. doi: 10.5402/2012/103472.
17. Misra A, Sharma R, Gulati S, Joshi SR, Sharma V, Ibrahim
A, Joshi S, Laxmaiah A, Kurpad A, Raj RK, Mohan V.
Consensus dietary guidelines for healthy living and
prevention of obesity, the metabolic syndrome, diabetes, and
related disorders in Asian Indians. Diabetes Technol Ther.
2011;13:683-94. doi: 10.1089/dia.2010.0198.
18. Callaway CW, Chumlea WC, Bouchard C, Himes JH,
Lohman TG, Martin AD, Mitchell CD, Mueller WH, Roche
AF, Seefeldt VD. Circumferences. In: Anthropometric
Standardization Reference Manual, Lohman TG, Roche AF,
Martorell R, editors. Illinios: Human Kinetics Book: 1988.
pp. 44-6.
19. Bharathi AV, Kurpad AV, Thomas T, Yusuf S, Saraswathi
G, Vaz M. Development of food frequency questionnaires
and a nutrient database for the Prospective Urban and Rural
Epidemiological (PURE) pilot study in South India:
methodological issues. Asia Pac J Clin Nutr. 2008;17:178-
85. doi: 10.6133/apjcn.2008.17.1.25.
20. USDA. National Nutrient Data base for Standard Reference.
2012; Release 25. [cited 2016/03/04]; Available form:
http://ndb.nal.usda.gov/ndb/foods/list
21. Silverstone T, Goodall E, Brambilla F. Measurement of
hunger and food intake. Disorders of eating behaviour, a
psychoendocrine approach. Oxford: Pergamon Press; 1986.
pp. 129-34.
22. Hays RD, Sherbourne CD, Mazel RM. The rand 36-item
health survey 1.0. Health Econ. 1993;2:217-27. doi: 10.
1002/hec.4730020305.
23. Vaz M, Bharathi AV, Thomas T, Yusuf S, Kurpad AV. The
repeatability of self reported physical activity patterns in
rural South India. Asia Pac J Clin Nutr. 2009;18:71-5. doi:
10.6133/apjcn.2009.18.1.11.
24. Nutrient Requirements and recommended dietary
allowances for Indians. A report of the Expert Group of the
Indian Council of Medical Research. National Institute of
Nutrition, Hyderabad, India. 2010.
25. Heymsfield SB. Meal replacements and energy balance.
Physiol Behav. 2010;100:90-4. doi: 10.1016/j.physbeh.2010.
02.010.
26. Coleman C, Kiel J, Hanlon-Mitola A, Sonzone C, Fuller N,
Davis L. Use of the Medifast meal replacement program for
weight loss in overweight and obese clients: a retrospective
chart review of three Medifast Weight Control Centers
(MWCC). Food Nutri Sci. 2012;3:1433-44.
27. Kirk T, Crombie N, Cursiter M. Promotion of dietary
carbohydrate as an approach to weight maintenance after
initial weight loss: a pilot study. J Hum Nutr Diet. 2000;13:
277-85. doi: 10.1046/j.1365-277x.2000.00237.x.
28. Astrup A, Larsen TM, Harper A. Atkins and other low-
carbohydrate diets: hoax or an effective tool for weight loss?.
Lancet. 2004;364:897-9. doi: 10.1016/S0140-6736(04)1698
6-9.
29. Radulian G, Rusu E, Dragomir A, Posea M. Metabolic
effects of low glycaemic index diets. Nutr J. 2009;8:5. doi:
10.1186/1475-2891-8-5.
30. Jensen J, Rustad PI, Kolnes AJ, Lai YC. The role of skeletal
muscle glycogen breakdown for regulation of insulin
sensitivity by exercise. Front Physiol. 2011;2:112. doi: 10.
3389/fphys.2011. 00112.
31. Jakeman P, Shaw P and Walton J. The Effects of the Special
K Challenge on Body Composition and Biomarkers of
Metabolic Health in Healthy Adults. J Nutr Health Sci. 2015;
2:407.
32. OrtnerHadžiabdić M, Mucalo I, Hrabač P, Matić T, Rahelić
D, Božikov V. Factors predictive of drop-out and weight
loss success in weight management of obese patients. J Hum
Nutr Diet. 2015;28:24-32. doi: 10.1111/jhn.12270.
33. Carels RA, Cacciapaglia HM, Douglass OM, Rydin S,
O'Brien WH. The early identification of poor treatment
outcome in a women's weight loss program. Eat Behav.
2003;4:265-82.
34. Tovar AR, del Carmen Caamaño M, Garcia-Padilla S,
García OP, Duarte MA, Rosado JL. The inclusion of a
partial meal replacement with or without inulin to a calorie
restricted diet contributes to reach recommended intakes of
micronutrients and decrease plasma triglycerides: A
randomized clinical trial in obese Mexican women. Nutr J.
2012;11:44. doi: 10.1186/1475-2891-11-44.
35. Raynor HA, Anderson AM, Miller GD, Reeves R,
Delahanty LM, Vitolins MZ et al. Look AHEAD Research
Group. Partial meal replacement plan and quality of the diet
at 1 year: action for health in diabetes (Look AHEAD) Trial.
J Acad Nutr Diet. 2015;115:731-42. doi: 10.1016/j.jand.
2014.11.003.
36. World Health Organization. Guideline: Sugars intake for
adults and children. Geneva. 2015. [cited 2016/07/14];
Available form: http://www.who.int/iris/handle/10665/
149782.
37. Shrapnel B. Amount of sugar in Australian breakfast cereals
is not associated with energy density or glycaemic index:
results of a systematic survey. Nutr Diet. 2013;70:236-40.
doi: 10.1111/1747-0080.12014.
38. Levitsky DA, Pacanowski C. Losing weight without dieting.
Use of commercial foods as meal replacements for lunch
produces an extended energy deficit. Appetite. 2011;57:311-
7. doi: 10.1016/j.appet.2011.04.015.
39. Bedard D, Shatenstein B, Nadon S. Underreporting of
energy intake from a self-administered food-frequency
questionnaire completed by adults in Montreal. Public
Health Nutr. 2004;7:675-81. doi: 10.1079/PHN2003578.
40. Olafsdottir AS, Thorsdottir I, Gunnarsdottir I,
Thorgeirsdottir H, Steingrimsdottir L. Comparison of
women’s diet assessed by FFQs and 24-hour recalls with
and without underreporters: associations with biomarkers.
Ann Nutr Metab. 2006;50:450-60. doi: 10.1159/000094781.
Ready-to-eat cereal and short term weight loss 1065
41. Mendez MA, Popkin BM, Buckland G, Schroder H, Amiano
P, Barricarte A et al. Alternative methods of accounting for
underreporting and overreporting when measuring dietary
intake-obesity relations. Am J Epidemiol. 2011;173:448-58.
doi: 10.1093/aje/kwq380.
... Ready-to-eat cereal-based MR Rice (36.15%), whole wheat (33.24%), wheat bran (4.74%), sugar, liquid glucose, iodized salt, malt extract, minerals, vitamins and antioxidants (INS320). [20] Hypocaloric diet and drink containing "Human Ration" 20.41% of Wheat fiber, 10.20% of defatted soy flour and triturated flaxseed, 8.16% of brown rice flour, white corn meal, rolled oats, brown sugar and triturated sesame cream, and 6.12% of wheat germ, etc. [87] Ketogenic diet "Classic" 4:1 Ketogenic diet of MR (weight of fat):(weight of protein+carbohydrate)=4:1, 10 g Carbohydrate/d, 1 600 kcal/d. [46] Others Polysaccharides-based MR Slim Styles® PGX® PGX polysaccharides complex (glucomannan, xanthan gum, sodium alginate); whey protein (milk), organic cane sugar. ...
... w, led to short-term weight loss at −0.53 kg and waist circumference reduction at −1.39 cm [20] . ...
... Significantly increased the intake of specific vitamins, sugars, and fiber and decreased the intake of sodium and fat (P≤0.05). [20] 17 Meal replacement A randomized trial 2009 USA Female participants (BMI 28.0−37.5 kg/m 2 ). ...
... There were 14 observational studies [4,5,9,[16][17][18][19][20][21][22][23][24][25][26] and 14 RCTs [27][28][29][30][31][32][33][34][35][36][37][38][39][40] evaluating the relationship of RTEC with body weight outcomes. Most observational studies were cross-sectional in design, with only 3 prospective analyses from cohorts or longitudinal RCTs [9,22,23]. ...
... Fourteen RCTs examined the impact of RTEC on body weight and/or body composition outcomes in adults [27][28][29][30][31][32][33][34][35][36][37][38][39][40] (Table 2). Most studies were short in duration (12 wk) [28,[30][31][32][33][34][35][37][38][39][40], with 3 studies conducted for 4-6 mo [27,29,36]. ...
... Fourteen RCTs examined the impact of RTEC on body weight and/or body composition outcomes in adults [27][28][29][30][31][32][33][34][35][36][37][38][39][40] (Table 2). Most studies were short in duration (12 wk) [28,[30][31][32][33][34][35][37][38][39][40], with 3 studies conducted for 4-6 mo [27,29,36]. Unlike observational studies, RCTs were conducted in several countries, including India, Australia, the United States, United Arab Emirates, and the United Kingdom. ...
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Results from observational studies indicate that consumption of ready-to-eat cereal (RTEC) is associated with higher diet quality and lower incidence of overweight and obesity in adults compared with other breakfasts or skipping breakfast. However, randomized controlled trials (RCTs) have had inconsistent results regarding effects of RTEC consumption on body weight and composition. This systematic review aimed to evaluate the effect of RTEC intake on body weight outcomes in observational studies and RCTs in adults. A search of PubMed and Cochrane Central Register of Controlled Trials (CENTRAL) databases yielded 28 relevant studies, including 14 observational studies and 14 RCTs. Results from observational studies demonstrate that frequent RTEC consumers (usually ≥4 servings/wk) have lower BMI, lower prevalence of overweight/obesity, less weight gain over time, and less anthropometric evidence of abdominal adiposity compared with nonconsumers, or less frequent consumers. RCT results suggest that RTEC may be used as a meal or snack replacement as part of a hypocaloric diet, but this approach is not superior to other options for those attempting to achieve an energy deficit. In addition, RTEC consumption was not associated with significantly less loss of body weight, or with weight gain, in any of the RCTs. RTEC intake is associated with favorable body weight outcomes in adults in observational studies. RTEC does not hinder weight loss when used as a meal or snack replacement within a hypocaloric diet. Additional long-term RCTs (≥6 mo) in both hypocaloric and ad libitum conditions are recommended to evaluate further the potential effects of RTEC consumption on body weight outcomes. PROSPERO (CRD42022311805). Adv Nutr 2023;xx:xx.
... [27][28][29][30] Otherwise, the impact of patient-related factors has not been reported in most other clinical trials investigating the efficacy of MR plans for weight loss. [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] In terms of the number of MR meals per day, a characteristic of MR interventions, Guo and colleagues 31 reported in a clinical trial that although total diet replacement was more effective for weight loss, partial meal replacement was more beneficial as a long-term treatment when considering individual adherence to dietary regimens. In another clinical trial, Leader and colleagues 32 showed that 2 MR meals per day are more effective than 1 MR meal per day for weight loss, regulation of blood glucose, and compliance with dietary prescriptions in patients with obesity and diabetes. ...
... Table 2 summarizes the risk of bias in the 22 articles. The assessment showed that 5 studies used adequate methods for the randomization process, 28,[43][44][45]48 and 7 studies were rated low risk for the missing outcome data. 27,40,43,45,46,48,49 The other domains were assessed as low risk in all studies. ...
... The assessment showed that 5 studies used adequate methods for the randomization process, 28,[43][44][45]48 and 7 studies were rated low risk for the missing outcome data. 27,40,43,45,46,48,49 The other domains were assessed as low risk in all studies. ...
Article
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Background Portion control is a useful component of weight reduction interventions and meal replacement (MR) plans represent a promising strategy for portion control. Research performed with pooled data on the effect of MR plans according to various characteristics of MR interventions remains scarce. Objective Our aim was to assess the effects of MR-based diets compared with food-based diets on weight loss, according to calorie-restriction types and energy intake proportions from MR. Methods Electronic databases (Cochrane Central Register of Controlled Trials, PubMed, Embase, and Research Information Sharing Service) were searched for randomized controlled trials on weight loss results of MR-based calorie-restricted diets compared with food-based calorie-restricted diets from January 2000 to May 2020. Standardized mean differences (Hedges' g) from all study outcomes were calculated using a random-effects model. Heterogeneity was quantified by Q test and I². Publication bias was assessed using a funnel plot and a trim and fill method. Both interventions (MR and control) were separated into very-low-energy diets and low-energy diets (LEDs). A meta-analysis of variance was conducted by dividing patient-related factors and treatment-related factors into subgroups. In multivariable meta-regressions, background variables were selected first, after which main independent variables were included. Results Twenty-two studies involving 24 interventions and 1,982 patients who were overweight or obese were included. The effect size in which MR-based LED was compared with food-based LED for weight loss was small, favoring MR (Hedges’ g = 0.261; 95% CI 0.156 to 0.365; I² = 21.9; 95% CI 0.0 to 53.6). Diets including ≥60% of total daily energy intake from MR had a medium effect size favoring MR with regard to weight loss among the groups (Hedges’ g = 0.545; 95% CI 0.260 to 0.830; I² = 42.7; 95% CI 0.0 to 80.8). Conclusions The effect of MR-based LED on weight loss was superior to the effect of food-based LED, and receiving ≥60% of total daily energy intake from MR had the greatest effect on weight loss.
... Table 1 shows the general characteristics of 38 articles. Included studies were performed in 17 different countries (Australia [11-15, 35, 36, 37•, 38], Canada [16, 17••, 18], China [19,39,40], Denmark [20], France [41,42], Great Britain [21], India [45], Iran [22,23,44], Japan [24,25], Korea [46], Malaysia [26], the Netherlands [27], Qatar [28], Singapore [29], South Africa [30], Spain [7•, 31, 32, 47], and the United States of America (USA) [33,34,43]), with the highest number of publications in Australia (n = 9), followed by Spain (n = 4), then Canada, China, Iran, and the USA, with 3 publications from each, Japan and France with 2 publications, and the other 9 countries with only one publication from each. Regarding study design, 63.2% of studies (n = 24) were cross-sectional , 26.3% (n = 10) were cohorts [7•, 36-43], 5.3% (n = 2) were randomized controlled trials (RCT) [45,46], and 5.2% were case-control (n = 1) [44] and non-randomized experimental studies (n = 1) [47]. ...
... Included studies were performed in 17 different countries (Australia [11-15, 35, 36, 37•, 38], Canada [16, 17••, 18], China [19,39,40], Denmark [20], France [41,42], Great Britain [21], India [45], Iran [22,23,44], Japan [24,25], Korea [46], Malaysia [26], the Netherlands [27], Qatar [28], Singapore [29], South Africa [30], Spain [7•, 31, 32, 47], and the United States of America (USA) [33,34,43]), with the highest number of publications in Australia (n = 9), followed by Spain (n = 4), then Canada, China, Iran, and the USA, with 3 publications from each, Japan and France with 2 publications, and the other 9 countries with only one publication from each. Regarding study design, 63.2% of studies (n = 24) were cross-sectional , 26.3% (n = 10) were cohorts [7•, 36-43], 5.3% (n = 2) were randomized controlled trials (RCT) [45,46], and 5.2% were case-control (n = 1) [44] and non-randomized experimental studies (n = 1) [47]. ...
... Almost all articles involved male and female (n = 33), with 4 studies performed only with women [24,34,38,45], and one study only with men [15]. The sample covered all age groups (children, adolescents, adults, and the elderly), with the majority performed with individuals with at least 18 years old (n = 27), and the sample size varied from 49 [42] to 185,951 [11] individuals. ...
Article
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Purpose of Review Dietary guidelines (DG) have the objective to promote healthy diet and prevent chronic diseases. In order to evaluate if this purpose is being achieved, we systematically reviewed studies that associated adherence to DG with obesity. Recent Findings We identified 2012 articles published in the last 5 years, and 38 remained in the final sample. The majority of studies demonstrated a negative association between adherence to DG and obesity. Studies with positive or no association presented mutual characteristics, such as populations composed only by children or adolescents, and dietary intake or dietary adherence assessed through non-validated or weak methods. Summary Adherence to DG seems to be a protective factor for obesity in adults, but this relationship is not so clear for children and adolescents. To improve the quality of dietary intake results, studies must utilize appropriate methods to answer their questions with less biased estimate of dietary intake.
... However, this strategy would require one calorically dense bar (at least 700 calories) to replace several space food items daily (100-300 calories each), inherently restricting variety and choice within the food system. On Earth, most meal replacement studies are designed to evaluate the effectiveness of specific formulas and strategies as weight loss tools for overweight and obese populations, and results from these studies often do not report or address consumer acceptability beyond (often high) study dropout rates [7][8][9][10][11]. Our aim is the opposite: to develop a meal replacement strategy that will not substantially impact dietary intake and body weight in healthy, high-performing adults. ...
... Extensive steps are taken to ensure HERA missions are controlled and analogous to spaceflight in several key parameters, including selection criteria for subjects, mission workload, limited communications with the outside world, a closed food system, and a habitat designed to emulate the minimum requirements and confined volume anticipated for extended missions in deep space. The missions included prescribed daily exercise regimens, with infrequent but potentially behaviorally significant activities throughout the mission, including experimental operational stressors of one night of sleep deprivation on mission day (MD) 24-25, simulated operational emergencies (MD2, 8,12,21,22), completion of a 90-min team task battery (MD11, 16,30), and a mid-mission public affairs/outreach event (MD16). ...
Article
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Strategies that reduce food system mass without negatively impacting food intake, acceptability, and resulting astronaut health and performance are essential for mission success in extreme operational environments such as space exploration. Here, we report the impact of substituting the spaceflight standard breakfast with energy equivalent, calorically-dense meal replacement bars (MRBs) on consumption, acceptability, and satiety and on associations with physical and behavioral health outcomes in high-performing subjects completing 30-day missions in the isolated and confined operational environment of NASA's Human Exploration Research Analog (HERA) habitat. MRB implementation was associated with reduced daily caloric intake, weight loss, and decrements in mood and neurobehavioral functioning, with no significant impacts on somatic symptoms and physical functioning. Food acceptability ratings suggest that flavor, texture, and menu fatigue attributed to limited variety are contributing factors, which are exacerbated by a daily implementation schedule. Meal replacement strategies for short-duration missions are operationally feasible, moderately acceptable, and can contribute to the practical goal of mass reduction, but more work is needed to define and optimize flavors, variety, and implementation schedules that sustain adequate nutrition, physical and behavioral health, and operational performance over time in isolated, confined, and extreme mission environments.
... Consumption of ready-to-eat cereals has been related to a healthy dietary pattern in children [43] and this include more consumption of vitamins and minerals, less of saturated fat and cholesterol, but also, with a higher intake of added sugar [43,44]. Negative associations between ready-toeat cereals and BMI, have also been reported in longitudinal analyses [45,46]. However, ready-to-eat cereals comprises many different products, and their nutritional impact will depend on the composition of the cereal, and the food consumed with them (such as fruit or milk); our study, as well as all previous studies available could be confounded by these characteristics. ...
Article
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Background/objectives Obesity prevalence in Mexican children has increased rapidly and is among the highest in the world. We aimed to estimate the longitudinal association between nonessential energy-dense food (NEDF) consumption and body mass index (BMI) in school-aged children 5 to 11 years, using a cohort study with 6 years of follow-up. Subjects/methods We studied the offspring of women in the Prenatal omega-3 fatty acid supplementation, child growth, and development (POSGRAD) cohort study. NEDF was classified into four main groups: chips and popcorn, sweet bakery products, non-cereal based sweets, and ready-to-eat cereals. We fitted fixed effects models to assess the association between change in NEDF consumption and changes in BMI. Results Between 5 and 11 years, children increased their consumption of NEDF by 225 kJ/day (53.9 kcal/day). In fully adjusted models, we found that change in total NEDF was not associated with change in children’s BMI (0.033 kg/m², [p = 0.246]). However, BMI increased 0.078 kg/m² for every 418.6 kJ/day (100 kcal/day) of sweet bakery products (p = 0.035) in fully adjusted models. For chips and popcorn, BMI increased 0.208 kg/m² (p = 0.035), yet, the association was attenuated after adjustment (p = 0.303). Conclusions Changes in total NEDF consumption were not associated with changes in BMI in children. However, increases in the consumption of sweet bakery products were associated with BMI gain. NEDF are widely recognized as providing poor nutrition yet, their impact in Mexican children BMI seems to be heterogeneous.
... Negative associations between ready-to-eat cereals and BMI, have also been reported in longitudinal analyses [42,43]. However, ready-to-eat cereals comprises many different products, and their nutritional impact will depend on the composition of the cereal, and the food consumed with them (such as fruit or milk); our study, as well as all previous studies available could be confounded by these characteristics. ...
Preprint
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BACKGROUND/OBJECTIVES: Obesity prevalence in Mexican children has increased rapidly and is among the highest in the world. We aimed to estimate the longitudinal association between nonessential energy-dense food (NEDF) consumption and body mass index (BMI) in school-aged children 5 to 11 years, using a cohort study with 6 years of follow-up. SUBJECTS/METHODS: We studied the offspring of women in the Prenatal omega-3 fatty acid supplementation, child growth, and development (POSGRAD) cohort study. NEDF were classified into four main groups: chips and popcorn, sweet bakery products, non-cereal based sweets, and ready-to-eat cereals. We fitted fixed effects models to assess the association between change in 418.6 kJ (100 kcal) of NEDF consumption and changes in BMI. RESULTS: Between 5 and 11 years, children increased their consumption of NEDF by 225 kJ/day (53.9 kcal/day). In fully adjusted models, we found that change in total NEDF was not associated with change in children’s BMI (0.033 kg/m², [p=0.246]). However, BMI increased 0.078 kg/m² for every 418.6 kJ/day (100 kcal/day) of sweet bakery products (p=0.035) in fully adjusted models. For chips and popcorn, BMI increased 0.208 kg/m² (p=0.035), yet, the association was attenuated after adjustment (p=0.303). CONCLUSIONS: Changes in total NEDF consumption were not associated with changes in BMI in children. However, increases in the consumption of sweet bakery products were associated with BMI gain. NEDF are widely recognized as providing poor nutrition yet, their impact in Mexican children BMI seems to be heterogeneous.
... (18) It is interesting to note that a relatively short period of intervention for two weeks with portion controlled meal replacement with cereal also resulted in effective weight loss in obese/overweight females (BMI 29.2 ± 2.4 kg/m 2 ). (19) In addition, treatment option with meal replacement in combination with drug therapy (20) can also be considered for longer-term treatment or in the management of morbid obese patients. Chronic low-grade inflammation, which is common in subjects with obesity and metabolic syndrome, can lead to development of chronic diseases such as cardiovascular diseases. ...
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Metabolic syndrome is well known to increase the risk of cardiovascular diseases. We have reported that phytochemicals rich black rice with giant embryo reduced fat mass and metabolic disorders in an animal model. However, such effects have not been evaluated in humans. Subjects with metabolic syndrome (n = 49, 38 male, 44.3 ± 6.1 years) were randomly assigned into two groups and ingested roasted black-rice with giant embryo (BR, n = 26, 20 male) or white-rice (WR, n = 23, 18 male) powders mixed with water for breakfast for three months. Subjects were evaluated for various metabolic parameters before and after intervention. All parameters were not significantly different between groups before starting the intervention. After three months of consumption of either BR or WR, changes of body weight in BR vs WR groups (–1.54 kg vs –1.29 kg, p = 0.649) as well as waist circumference (–1.63 cm vs –1.02 cm, p = 0.365) were not significantly different between groups. However, changes in highly-sensitive C reactive proteins in BR vs WR groups (–0.110 mg/dl vs 0.017 mg/dl, p = 0.003) had significant differences. Three months of meal replacement with BR had a significant reduction of highly-sensitive C reactive protein compared to those with WR in adults with metabolic syndrome.
...  Participants were given a week of packaged meals at a time, and two weeks of packaged meals were given out. 2  Participants were asked to fill out a meal log and when did they consume their packaged meals. The results from this intervention can be read in Table 1. ...
Article
The foundation of the medical system are the nurses and certified medical assistants. Their personal health condition affects how well diseases and other medical conditions are handled. This article will begin with an overview of the eating behavior of nurses. Three different interventions which have been shown effective in a fast paced workplace are presented in order to improve the health of nurses and certified medical assistants. The first intervention is organizational changes that would increase the amount of time nursing staff have to eat. The second is the use of a messenger bag delivery system to provide needed food, water, and educational materials. The third is the use of packaged ready-to-eat meals to reduce preparation time and increase the availability of nutritious food.
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There have been no comprehensive reviews of the relation of breakfast cereal consumption to nutrition and health. This systematic review of all articles on breakfast cereals to October 2013 in the Scopus and Medline databases identified 232 articles with outcomes related to nutrient intake, weight, diabetes, cardiovascular disease, hypertension, digestive health, dental and mental health, and cognition. Sufficient evidence was available to develop 21 summary evidence statements, ranked from A (can be trusted to guide practice) to D (weak and must be applied with caution). Breakfast cereal consumption is associated with diets higher in vitamins and minerals and lower in fat (grade B) but is not associated with increased intakes of total energy or sodium (grade C) or risk of dental caries (grade B). Most studies on the nutritional impact are cross-sectional, with very few intervention studies, so breakfast cereal consumption may be a marker of an overall healthy lifestyle. Oat-, barley-, or psyllium-based cereals can help lower cholesterol concentrations (grade A), and high-fiber, wheat-based cereals can improve bowel function (grade A). Regular breakfast cereal consumption is associated with a lower body mass index and less risk of being overweight or obese (grade B). Presweetened breakfast cereals do not increase the risk of overweight and obesity in children (grade C). Whole-grain or high-fiber breakfast cereals are associated with a lower risk of diabetes (grade B) and cardiovascular disease (grade C). There is emerging evidence of associations with feelings of greater well-being and a lower risk of hypertension (grade D), but more research is required.
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Objective: A chart review was performed to evaluate the effectiveness of the Medifast (MD) meal replacement (MR) plan in a Medifast Weight Control Center (MWCC) on body weight, body composition, and other health measures at 4, 12, 24 weeks, and final weight loss visit. Methods: Charts included adults aged 18 -70 (n = 446) with a BMI ≥ 25 kg/m 2 who attended one of three MWCCs and were following the MD MR program. Data were collected electronically and included weight, systolic and diastolic blood pressure, pulse, lean muscle mass (LMM), body fat mass, % body fat, and abdominal circumference. Compliance measures included attendance at weekly visits, intake of MRs and supple-ments, food journals, and ketone testing. Results: Significant weight loss and % weight loss were achieved at all time points with clinically significant weight loss (>5%) occurring in just 4 weeks. Additionally, significant improvements in body composition were seen at all time points coupled with increases in % total body weight as LMM (% LMM im-proved by 3.5, 9.8, 16.0, and 13.9%, respectively). Blood pressure and pulse were significantly improved, demonstrat-ing the clinical benefit for clients. Multivariate regression revealed a strong inverse relationship between weight change, % compliance with attendance, and the number of weeks that MRs were taken as recommended as well as a positive association with number of ketone tests. Conclusion: The MD MR plan, combined with the support and accountability available in the MWCC, is an efficacious program that promotes significant weight loss and improvements in body composition. These results reveal significant associations between components of compliance and weight loss, but par-ticularly highlight the importance of attendance, a focus of the MWCC model compared to non-clinic models.
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Background: Obesity is a major public health problem in many poor countries where micronutrient deficiencies are prevalent. A partial meal replacement may be an effective strategy to decrease obesity and increase micronutrient intake in such populations. The objective was to evaluate the efficacy of a partial meal replacement with and without inulin on weight reduction, blood lipids and micronutrients intake in obese Mexican women. Methods: In a randomized controlled clinical trial 144 women (18-50 y) with BMI ≥ 25 kg/m², were allocated into one of the following treatments during 3 months: 1) Two doses/d of a partial meal replacement (PMR), 2) Two doses/d of PMR with inulin (PMR + I) , 3) Two doses/d of 5 g of inulin (INU) and 4) Control group (CON). All groups received a low calorie diet (LCD). Weight, height, hip and waist circumference were measured every 2 weeks and body composition, lipids and glucose concentration and nutrient intake were assessed at baseline and after 3 months. Results: All groups significantly reduced weight, BMI, waist and hip circumference. Differences between groups were only observed in BMI and weight adjusted changes: At 45 days PMR group lost more weight than INU and CON groups by 0.9 and 1.2Kg, respectively. At 60 days, PMR + I and PMR groups lost more weight than in INU by 0.7 and 1Kg, respectively. Subjects in PMR, PMR + I and INU significantly decreased triglycerides. Energy intake was reduced in all groups. Fiber intake increased in PMR + I and INU groups. Some minerals and vitamins intakes were higher in PMR and PMR + I compared with INU and CON groups. Conclusion: Inclusion of PMR with and without inulin to a LCD had no additional effect on weight reduction than a LCD alone but reduced triglycerides and improved intake of micronutrients during caloric restriction. PMR could be a good alternative for obese populations with micronutrient deficiencies.
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Obesity and diabetes are increasing in prevalence worldwide. Despite excessive dietary consumption, obese individuals have high rates of micronutrient deficiencies. Deficiencies of specific vitamins and minerals that play important roles in glucose metabolism and insulin signaling pathways may contribute to the development of diabetes in the obese population. This paper reviews the current evidence supporting this hypothesis.
Article
Little is known about diet quality with a reduced-energy, low-fat, partial meal replacement plan, especially in individuals with type 2 diabetes. The Action for Health in Diabetes (Look AHEAD) trial implemented a partial meal replacement plan in the Intensive Lifestyle Intervention. To compare dietary intake and percent meeting fat-related and food group dietary recommendations in Intensive Lifestyle Intervention and Diabetes Support and Education groups at 12 months. A randomized controlled trial comparing Intensive Lifestyle Intervention with Diabetes Support and Education at 0 and 12 months. From 16 US sites, the first 50% of participants (aged 45 to 76 years, overweight or obese, with type 2 diabetes) were invited to complete dietary assessments. Complete 0- and 12-month dietary assessments (collected between 2001 and 2004) were available for 2,397 participants (46.6% of total participants), with 1,186 randomized to Diabetes Support and Education group and 1,211 randomized to Intensive Lifestyle Intervention group. A food frequency questionnaire assessed intake: energy; percent energy from protein, fat, carbohydrate, polyunsaturated fatty acids, and saturated fats; trans-fatty acids; cholesterol; fiber; weekly meal replacements; and daily servings from food groups from the Food Guide Pyramid. Mixed-factor analyses of covariance, using Proc MIXED with a repeated statement, with age, sex, race/ethnicity, education, and income controlled. Unadjusted χ(2) tests compared percent meeting fat-related and food group recommendations at 12 months. At 12 months, Intensive Lifestyle Intervention participants had a significantly lower fat and cholesterol intake and greater fiber intake than Diabetes Support and Education participants. Intensive Lifestyle Intervention participants consumed more servings per day of fruits; vegetables; and milk, yogurt, and cheese; and fewer servings per day of fats, oils, and sweets than Diabetes Support and Education participants. A greater percentage of Intensive Lifestyle Intervention participants than Diabetes Support and Education participants met fat-related and most food group recommendations. Within Intensive Lifestyle Intervention, a greater percentage of participants consuming two or more meal replacements per day than participants consuming less than one meal replacement per day met most fat-related and food group recommendations. The partial meal replacement plan consumed by Intensive Lifestyle Intervention participants was related to superior diet quality. Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.
Article
Background The prevention and treatment of overweight and obese individuals on a population-wide basis is challenging because patients have difficulties with adhering to weight loss programmes. The present study aimed to evaluate patients' adherence to the weight reduction programme by identifying factors predictive of both drop-out rate and weight loss success.Methods One-hundred and twenty-four obese patients participated in a 12-month weight reduction programme, involving group therapy during an intensive 5-day educational intervention, followed by five, 2-h follow-up visits. The primary outcome measures included drop-out rate and percentage weight loss. Sociodemographic and clinical characteristics, as well as type of diet, were explored as potential predictive factors. Type of diet was assigned based on randomisation. Regression analyses were conducted to identify predictive variables of drop-out and weight loss success.ResultsIn total, 33.1% of all recruited participants were deemed successful because they reduced the initial weight by more than 5% after the 12-month intervention. The overall attrition rate was 32.3%. In a multiple regression model, initial weight loss and marital status were the strongest predictors of weight loss success after 1-year period (r2 = 0.481, P < 0.001). In a separate analysis, subjects more likely to drop-out were those with a lower educational level [odds ratio (OR) = 3.26, 95% confidence interval (CI) = 1.22–8.70, P = 0.018] and a higher level of obesity (OR = 0.974, 95% CI = 0.95–0.99, P = 0.010).Conclusions The present study demonstrates that initial weight loss at 1 month made the strongest unique contribution to the prediction of percentage weight loss after 12 months, whereas being married was a negative predictor. Those with a lower educational level and a higher level of obesity were more likely to drop-out.
Article
AimIt has been suggested that sugar intake may be linked to the risk for obesity and, although the mechanisms remain unclear, energy density and glycaemic index (GI) may be relevant. The aim of the present study was to investigate the relationships between sugar content, energy density and GI in Australian breakfast cereals. MethodsA systematic survey of all breakfast cereals available for sale in Sydney, Australia, was conducted. A dietitian purchased samples of every complying cereal available for sale in supermarkets in the Sydney area. Data on total sugars were drawn from Nutrition Information Panels, and GI data were obtained from the Glycemic Index Database and on‐pack information. Cereals were grouped into ‘all cereals’ and ‘ready‐to‐eat cereals’. Regression analyses were conducted to determine the relationships between total sugars and energy density and between total sugars and GI. ResultsA total of 312 breakfast cereals were collected, of which 167 were ready‐to‐eat cereals. There was no relationship between sugar content and energy density in either group of cereals. GI information was available for 43 products, of which 32 were ready‐to‐eat cereals. There was no association between sugar content and GI in either cereal group. Conclusions The sugar content of breakfast cereals is a poor indicator of energy density and GI. The continued focus on sugar in dietary guidelines and nutrition advice may need to be reconsidered, at least in relation to solid foods.
Article
Aim To test a novel approach to weight management based on positive advice to eat more carbohydrate‐rich foods. Methods Twenty‐nine overweight/mildly obese male and female volunteers were recruited. For a 2‐week period they were required to replace one main meal each day with a serving of breakfast cereal. This was followed by 4 weeks eating adlib on a high‐carbohydrate regime. Each subject, who acted as his/her own control, kept a 3‐day unweighed food diary at baseline, 2 weeks and 6 weeks. Anthropometric measurements were made at each stage. Results Twenty‐two subjects completed the study. Mean weight loss at 2 weeks was 2.0 kg, a statistically significant reduction, which was maintained at 6 weeks. Significant changes in mean energy intake (− 2.29 MJ day –1 ), in percentage energy from carbohydrate (+ 8%) and from fat (– 11%) were observed after 2 weeks, and remained significant at the end of the study. Conclusions The results of this pilot study show that replacing a main meal with breakfast cereal led to moderate weight loss, and a follow‐up high‐carbohydrate phase enabled weight loss to be sustained. We suggest that this regime has potential for further investigation and that promotion of carbohydrate‐rich foods should be part of public health messages for weight control.