ArticlePDF Available

Evaluation of the Consumption of Junk Food Products and Lifestyle among Teenagers and Young Population from Romania

MDPI
Nutrients
Authors:
  • Carol Davila University of Medicine and Pharmacy. Faculty of Farmacy

Abstract and Figures

Background: The long-term consumption of junk food products can lead to nutritional and metabolic imbalances, especially when it is associated with a lack of physical activity and the consumption of alcohol or other high-calorie products. Methods: The evaluation of junk food consumption among teenagers and young people in Romania was carried out with the help of a cross-sectional study based on a questionnaire. Results: A total number of 1017 respondents participated in this study, comprising 470 males and 547 females aged between 16 and 25 years. Although the majority of young people fell into the normal-weight category (607 of them, p < 0.0001), some aspects can be noted that in the long term can produce a series of nutritional imbalances: an increased tendency toward sedentarism, with 553 (p = 0.613) of the respondents declaring that they performed sports rarely or not at all, and a tendency toward relatively high consumption of foods high in calories (fast food products and especially fried potatoes, hamburgers, shawarma, pastries, and snacks, along with sweetened drinks and even alcoholic beverages). The respondents participating in this study even indicated a perceived addiction to the consumption of certain products: coffee (50.48%), fried potatoes (38.9%), hamburgers (37.05%), shawarma (31.65%), and snacks (30.08%). Many of these products are rich in calories, saturated fat, and even trans fat. Conclusions: This study highlights a series of aspects that can have long-term negative effects related to the excess weight associated with other imbalances: consumption preferences among young people for hypercaloric fast food products, sweetened drinks associated with reduced physical activity, and even the development of some forms of food addictions for a series of hypercaloric foods.
This content is subject to copyright.
Citation: Mititelu, M.; Stanciu, G.;
Licu, M.; Neacs
,u, S.M.; Călin, M.F.;
Ros
,ca, A.C.; Stanciu, T.I.; Busnatu,
S
,
.S.; Olteanu, G.; Boroghină, S.C.; et al.
Evaluation of the Consumption of
Junk Food Products and Lifestyle
among Teenagers and Young
Population from Romania. Nutrients
2024,16, 1769. https://doi.org/
10.3390/nu16111769
Academic Editors: Dominika Guzek
and Miguel Mariscal-Arcas
Received: 11 May 2024
Revised: 25 May 2024
Accepted: 3 June 2024
Published: 5 June 2024
Copyright: © 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
nutrients
Article
Evaluation of the Consumption of Junk Food Products and
Lifestyle among Teenagers and Young Population from Romania
Magdalena Mititelu 1, , Gabriela Stanciu 2, Monica Licu 3, , Sorinel Marius Neacs
,u4,
Mariana Floricica Călin 5, , Adrian Cosmin Ros
,ca 6, *, Tiberius Iustinian Stanciu 7,*, S
,tefan Sebastian Busnatu 8,
Gabriel Olteanu 1, Stelut
,a Constant
,a Boroghină9, Teodor Octavian Nicolescu 10, Felicia Suciu 6
and Carmen Elena Lupu 11
1Department of Clinical Laboratory and Food Safety, Faculty of Pharmacy, “Carol Davila” University of
Medicine and Pharmacy, 3-6, Traian Vuia Street, Sector 2, 020956 Bucharest, Romania;
magdalena.mititelu@umfcd.ro (M.M.); gabriel.olteanu@mst.umfcd.ro (G.O.)
2
Department of Chemistry and Chemical Engineering, “Ovidius” University of Constanta, 900527 Constanta,
Romania; gstanciu@univ-ovidius.ro
3Department of Ethics and Academic Integrity, Faculty of Medicine, “Carol Davila” University of Medicine
and Pharmacy, 050474 Bucharest, Romania; monica.licu@umfcd.ro
4Department of Pharmaceutical Technology and Bio-Pharmacy, Faculty of Pharmacy, “Carol Davila”
University of Medicine and Pharmacy, 020945 Bucharest, Romania; sorinel-marius.neacsu@drd.umfcd.ro
5
Faculty Psychology & Educational Sciences, “Ovidius” University of Constanta, 900527 Constanta, Romania;
mariana.calin@365.univ-ovidius.ro
6Department of Drug Analysis, Biopharmacy and Biological Medicines, Faculty of Pharmacy, “Ovidius”
University of Constanta, 900470 Constanta, Romania; felicia.suciu@365.univ-ovidius.ro
7Press Office, “Ovidius” University of Constanta, 900527 Constanta, Romania
8Department of Cardio-Thoracic Pathology, Faculty of Medicine, “Carol Davila” University of Medicine and
Pharmacy, 050474 Bucharest, Romania; stefan.busnatu@umfcd.ro
9Department of Complementary Sciences, History of Medicine and Medical Culture, Faculty of Medicine,
“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania;
steluta.boroghina@umfcd.ro
10 Department of Organic Chemistry, Faculty of Pharmacy, “Carol Davila” University of Medicine and
Pharmacy, 020956 Bucharest, Romania; teodor.nicolescu@umfcd.ro
11 Department of Mathematics and Informatics, Faculty of Pharmacy, “Ovidius” University of Constanta,
900001 Constanta, Romania; clupu@univ-ovidius.ro
*Correspondence: cosmin.rosca@univ-ovidius.ro (A.C.R.); tiberius.stanciu@365.univ-ovidius.ro (T.I.S.)
These authors contributed equally to this work.
Abstract: Background: The long-term consumption of junk food products can lead to nutritional
and metabolic imbalances, especially when it is associated with a lack of physical activity and
the consumption of alcohol or other high-calorie products. Methods: The evaluation of junk food
consumption among teenagers and young people in Romania was carried out with the help of a cross-
sectional study based on a questionnaire. Results: A total number of 1017 respondents participated
in this study, comprising 470 males and 547 females aged between 16 and 25 years. Although the
majority of young people fell into the normal-weight category (607 of them, p< 0.0001), some aspects
can be noted that in the long term can produce a series of nutritional imbalances: an increased
tendency toward sedentarism, with 553 (p= 0.613) of the respondents declaring that they performed
sports rarely or not at all, and a tendency toward relatively high consumption of foods high in calories
(fast food products and especially fried potatoes, hamburgers, shawarma, pastries, and snacks, along
with sweetened drinks and even alcoholic beverages). The respondents participating in this study
even indicated a perceived addiction to the consumption of certain products: coffee (50.48%), fried
potatoes (38.9%), hamburgers (37.05%), shawarma (31.65%), and snacks (30.08%). Many of these
products are rich in calories, saturated fat, and even trans fat. Conclusions: This study highlights
a series of aspects that can have long-term negative effects related to the excess weight associated
with other imbalances: consumption preferences among young people for hypercaloric fast food
products, sweetened drinks associated with reduced physical activity, and even the development of
some forms of food addictions for a series of hypercaloric foods.
Nutrients 2024,16, 1769. https://doi.org/10.3390/nu16111769 https://www.mdpi.com/journal/nutrients
Nutrients 2024,16, 1769 2 of 17
Keywords: fast food; sweetened beverages; energy drinks; physical activity; metabolic syndrome;
insulin resistance
1. Introduction
Research conducted by the World Health Organization (WHO) and studies featured
in esteemed medical publications, like The Lancet, indicate a marked surge in the inges-
tion of unhealthy food among teenagers on a global scale in recent decades [
1
4
]. This
escalating pattern predominantly manifests in urban settings and nations experiencing
rapid economic growth. The consumption of such food items by adolescents is influenced
by multifaceted factors, encompassing the accessibility of fast food outlets, convenience
stores, and prominently promoted processed food items. Additionally, social elements and
peer influence significantly impact dietary preferences [
5
10
]. Moreover, the aggressive
marketing of junk food tailored to a younger audience, coupled with increasingly hectic
lifestyles that prompt a reliance on fast and expedient, yet often nutritionally deficient food
choices, further contribute to this trend [1114].
Though precise statistical data fluctuate across regions and countries, the rising preva-
lence of adolescent consumption of junk food is a global apprehension due to its correlation
with diverse health complications, including but not limited to obesity, diabetes, cardiovas-
cular ailments, and other lifestyle-related diseases [1517].
Mitigating measures aimed at addressing this concern encompass educational initia-
tives designed to advocate healthy eating habits, policies aimed at regulating the marketing
of food products to children, and endeavors aimed at enhancing the availability of nutri-
tious food options within educational institutions and local communities [1820].
Different demographic groups exhibit varying propensities for consuming junk food,
with some segments displaying more frequent consumption. Among these, adolescents
and young adults emerge as predominant consumers of such food items [
21
,
22
]. Their
dietary preferences are shaped by factors including peer influence, prevailing social pat-
terns, and the allure of easily accessible and fast food alternatives. Moreover, younger
children might also partake in junk food consumption due to its widespread marketing
and availability, although their choices are typically influenced by parental guidance and
decisions. Nonetheless, research suggests that adults, especially individuals aged from
their late twenties to mid-forties, also demonstrate considerable consumption of junk food
owing to demanding lifestyles, reliance on convenience, and established dietary habits from
earlier stages of life. Hence, while adolescents and young adults are commonly spotlighted
as primary consumers, the appeal and ingestion of junk food extend across various age
brackets [23,24].
Junk food items typically exhibit distinctive characteristics that set them apart from
nutritious alternatives, often characterized by elevated levels of refined sugars; unhealthy
fats encompassing saturated and trans fats; excessive salt content; and a dearth of essential
nutrients such as vitamins, minerals, and fiber. This category of food tends to be low in
nutritional quality while bearing a high-calorie load [2527].
The consumption of junk food can have a substantial impact on the health of individ-
uals. This impact encompasses several repercussions, including the potential for weight
gain and obesity due to the habitual intake of calorie-dense yet nutrient-deficient junk
food [
28
,
29
]. Furthermore, the presence of unhealthy fats and excessive sodium in these
food items heightens the vulnerability to heart disease, hypertension, and related cardio-
vascular complications. Additionally, the heightened sugar content prevalent in many
junk food products can foster insulin resistance, thereby contributing to the onset of type
2 diabetes. Oral health is also at risk as sugary and acidic junk food can prompt dental
cavities and erosion, leading to related dental issues [30,31].
Increased long-term consumption of junk food products can lead to malnutrition,
which can be simple or complex depending on the nutritional deficiency of these categories
Nutrients 2024,16, 1769 3 of 17
of food products and is usually hypercaloric. Moreover, empirical studies suggest a
plausible association between an excessive consumption of junk food and an augmented
susceptibility to mental health conditions like depression and anxiety [3235].
The adverse health effects of junk food go beyond their composition and extend to the
displacement of essential nutrients from healthier dietary sources such as fruits, vegetables,
whole grains, and lean proteins. Consequently, the cumulative impact of regular consump-
tion of junk food can markedly compromise an individual’s overall health and well-being,
heightening the likelihood of various chronic diseases and health complications [36,37].
There are other aspects that must be considered regarding the safety of consumption
of junk food products; besides the abundance of additives, some products may have toxic
compounds resulting from excessive thermal processing or the excessive use of frying oil
(burgers, fries, etc.) [
38
41
]. The quality of the raw material is also very important. The
presence of toxic contaminants in the environment (pesticides, microplastics, heavy metals,
etc.) can endanger the health and even the life of the consumer [4246].
Junk food encompasses a wide array of products that tend to be high in calories,
sugars, unhealthy fats, and sodium while lacking substantial nutritional value. These can
include fast food (burgers, fries, pizzas, and other quick-service meals), sugary beverages
(soft drinks, energy drinks, sweetened juices, and flavored waters), snack foods (chips,
crisps, candy, chocolates, and other high-calorie snacks), processed foods (ready-to-eat
meals; packaged snacks; and convenience foods high in preservatives, added sugars, and
unhealthy fat), and baked goods (pastries, cakes, cookies, and sweet baked items).
According to the latest official reports published by the National Institute of Public
Health in Romania, the number of new cases of obesity diagnosed in children under the
age of 19 registered in 2020 was 6731, representing 18.9% of the total number of cases in
the country. A higher incidence was found in girls and much higher in urban compared
to rural areas [
47
]. The adult obesity rate in Romania is around 10%. In 2018, the rate of
overweight and obesity among 15-year-old children in Romania was 21%, higher values
compared to the European Union average (19%) [
48
]. According to the World Obesity Atlas
2023, the growth rate of obesity in Romania until 2035 will be 2.1%/year for adults and
5.6%/year for children, a fact that will place Romania among the countries with the most
increasing rate of obesity in children [49].
Prompted by the dangers hidden in the excessive consumption of junk food prod-
ucts, a cross-sectional study was carried out based on a questionnaire that evaluates the
consumption of junk food products among teenagers and young people from Romania.
2. Materials and Methods
2.1. Study Design
To assess the consumption of junk food, a validated questionnaire [
50
] was dissemi-
nated, which evaluated the frequency of consumption of junk food products (hamburgers,
hot dogs, french fries, shawarma, packed sandwiches, chips, snacks, patisserie products,
packaged cakes, candy, ice cream, other packaged sweet products, chewing gum, sweet-
ened carbonated drinks, sweetened non-carbonated drinks, energy drinks, and coffee)
but also aspects related to tobacco consumption, physical activity, consumption of alco-
holic beverages, and product category food that predominates in the daily diet, along
with information related to sex, age, height, weight, and area of residence. Based on the
anthropometric data, the body mass index (BMI) was calculated [
51
]. The Google Forms
platform was used to disseminate and centralize the answers to the questionnaire, and
the questionnaire was disseminated among high school students during their final classes
under the supervision of teachers and with the agreement of the management and par-
ents. Only teenagers between the ages of 16 and 18 completed the questionnaire. For the
19–25 age group, the questionnaire was distributed among students from various univer-
sities in Romania. Participation in the study involved obtaining informed consent from
the respondents, the protection of personal data, and the preservation of anonymity. The
inclusion criteria for the study were being between 16 and 25 years old; parental consent
Nutrients 2024,16, 1769 4 of 17
for young people under 18; and being a resident in Romania. The study was conducted in
accordance with the Declaration of Helsinki and approved by the Ethics Commission of the
Carol Davila University of Medicine and Pharmacy from Bucharest, no. 4201/16.02.2024.
The questionnaire was distributed between February 20 and 20 March 2024.
The questionnaire (Supplementary Materials) was uploaded on the Google Forms
platform because it offers a number of important advantages: It provides options for
setting validation rules to ensure the accuracy and consistency of responses; responses
are automatically collected and stored in Google Sheets, allowing for easy analysis and
data manipulation and viewing responses in real time, which is particularly useful for
events or situations where immediate feedback is required; and it provides strong security
measures to protect data, including encryption and secure access controls. Users can also
set forms to restrict access to specific groups or individuals, and the questionnaire can be
easily shared via email, links, embedded in websites, or through social media, ensuring
broad dissemination.
The design of the questionnaire with the help of the Google Forms platform also
provided a series of security measures to protect personal data (blocking the collection of
addresses and identification data of respondents), thus blocking the collection of multiple
answers from the same user. In order to avoid errors related to the age of the respondents,
the answers from all the respondents who accessed the questionnaire were collected in the
platform, but only the answers of those who fell into the age range of 16–25 years were used
for data processing. Thus, out of the 1310 responses recorded, only 1017 valid responses
were retained that fell into the age group followed in this study. Collaboration agreements
were made with schools, universities, and multinational companies chosen in such a way as
to cover the main regions on the territory of Romania, and the adolescents under 18 years
completed the questionnaire after being previously instructed by the teaching staff or
parents, where they were also made aware of the fact that their identities were protected
(the answers were protected so that the identification data of the respondents were not
revealed), and they were invited to answer as honestly as possible. The aspects related to
the protection of the respondent’s identity and the blocking of multiple answers were also
mentioned in the form regarding the terms and conditions of participation in the study.
Also, in the consent form, the study participants were informed that the answers would
be processed and published, and the respondents were invited to answer as correctly as
possible in order not to change the accuracy of the data because their identity was protected.
2.2. Statistical Analysis
First, descriptive statistics were used to present the characteristics of participants. Cate-
gorical variables were presented with absolute frequencies (n) and relative frequencies (%).
The potential associations between preferred non-alcoholic drinks and junk food
consumption with anthropometric data (gender and BMI) were identified by using a
chi-square test.
To visualize the relationships between BMI and participant responses regarding the
consumption of non-alcoholic beverages and junk food, correspondence analysis (CA)
was performed.
Correspondence analysis was performed using XLSTAT (version 2020, Addinsoft,
New York, NY, USA). Statistical Package for Social Science, version 23 (SPSS Inc., Chicago,
IL, USA), was used for descriptive statistics, and a chi-square test was used to validate the
questionnaire and ensure its reliability; p-values less than 0.05 were considered statistically
significant [52].
In terms of the representativeness of the sample of respondents, according to the last
census, the population of Romania between 16 and 25 years old is 1,959,584, representing
10.28% of the total population [
53
]. The minimum required sample size for our study,
calculated using the Cochran formula [
54
] for a known population size, was 659 (for a 96%
confidence interval and
±
4% error). The collection of answers from respondents distributed
throughout Romania was also considered.
Nutrients 2024,16, 1769 5 of 17
3. Results
3.1. Socio-Demographic Characteristics of the Respondents
Table 1presents the socio-demographic characteristics of the respondent groups
participating in this study, along with a series of aspects related to physical activity and the
consumption of alcoholic beverages. Most of the participants in this study were teenagers
aged up to 18 (60%, p< 0.028) and from urban areas (81.3%, p= 0.002). More than 54.3%
(p= 0.613) of the respondents rarely performed sports or not at all, and 76.4% (p= 0.590)
declared that they consume alcoholic beverages 2–3 times a week. Regarding body weight,
59.7% (p< 0.0001) were normal weight.
Table 1. Socio-demographic and anthropometric characteristics, physical activity, and alcohol con-
sumption of the respondents (n = 1017).
Total Population
n (%)
Male
n (%)
Female
n (%)
1017 (100) 470 (46.2) 547 (53.8)
Age (years) p= 0.028
16–18 610 (60.0) 299 (63.6) 311 (56.9)
19–25 407 (40.0) 171 (36.4) 236 (43.1)
Residence area p= 0.002
Urban area 827 (81.3) 401 (85.3) 426 (77.9)
Rural area 190 (18.7) 69 (14.7) 121 (22.1)
Level of physical activity/sport p= 0.613
No physical activity 44 (4.3) 24 (5.1) 20 (4.2)
Yes, very rarely 509 (50.0) 239 (50.9) 270 (49.4)
Yes, 2–3 times a week 60 (5.9) 26 (5.5) 34 (6.2)
Yes, every day under an hour 275 (27.0) 119 (25.3) 156 (28.5)
Yes, daily for at least an hour 129 (12.7) 62 (13.2) 67 (12.2)
Alcohol consumption (1 glass of
wine, beer = 125 mL, 1 glass of drink
pure alcohol = 50 mL)
p= 0.590
Daily more than one serving 14 (1.4) 8 (1.7) 6 (1.1)
Daily one serving 14 (1.4) 5 (1.1) 9 (1.6)
2–3 times a week 777 (76.4) 368 (78.3) 409 (74.8)
Once a week 13 (1.3) 6 (1.3) 7 (1.2)
2–3 times a month 488 (28.4) 86 (23.1) 402 (29.9)
Very rarely or not at all 176 (17.3) 72 (15.3) 104 (19.0)
Body mass index (BMI) p< 0.0001
Underweight (<18.5) 117 (11.5) 43 (9.1) 74 (13.5)
Normal weight (18.5–24.9) 607 (59.7) 253 (53.8) 354 (64.7)
Overweight (25–29.9) 188 (18.5) 111 (23.6) 77 (14.1)
Obese (30) 105 (10.3) 43 (9.1) 74 (13.5)
3.2. Evaluation of Junk Food Product Consumption
Among the categories of food products that predominate in the daily diet are meat
(26.16%), meat preparations (10.91%), vegetable products, and dairy products (Figure 1).
Among the junk food products, the most consumed are pizza and pastries.
According to the recorded answers, among the most preferred junk food products by
young people were fried potatoes (48.57%), pastries, snacks, chips, sweets, and hamburgers
(Figure 2).
The bi-plot indicated that for the BMI group, 92.14% of the observed variability could
be attributed to the two main components (F1: 70.16% and F2: 21.98%). CA showed a
significant difference (
χ2
= 57.42 and p= 0.0051) between BMI and the consumption of the
12 types of junk food products (Figure 3) but not between the frequency of consumption
of the analyzed products and respondents with normal BMI and the underweight group.
There was an increased tendency for consumption of french fries, hamburgers, and hot
dogs among obese respondents.
Coffee (58.6%) and sweetened drinks (37.17%) were two of the top non-alcoholic
beverage consumption preferences (Figure 4) among the young participants in this study.
Nutrients 2024,16, 1769 6 of 17
For BMI, the bi-plot indicated that 88.41% of the variability observed could be at-
tributed to the two principal components for F1 (71.60%) and F2 (16.81%). The CA showed
a significant difference (
χ2
= 52.47 and p< 0.0072) between BMI and the 14 types of
non-alcoholic beverages (Figure 5). Obese and overweight respondents presented similar
profiles related to the consumption of non-alcoholic beverages. There was an increased
tendency to consume sweetened carbonated drinks and energy drinks among obese and
overweight people.
Nutrients 2024, 16, x FOR PEER REVIEW 6 of 18
Figure 1. Food categories that predominate in the daily diet.
According to the recorded answers, among the most preferred junk food products by
young people were fried potatoes (48.57%), pastries, snacks, chips, sweets, and
hamburgers (Figure 2).
Figure 2. The categories of junk food products indicated in the consumption preferences of young people.
The bi-plot indicated that for the BMI group, 92.14% of the observed variability could
be aributed to the two main components (F1: 70.16% and F2: 21.98%). CA showed a
signicant dierence (χ
2
= 57.42 and p = 0.0051) between BMI and the consumption of the
12 types of junk food products (Figure 3) but not between the frequency of consumption
of the analyzed products and respondents with normal BMI and the underweight group.
There was an increased tendency for consumption of french fries, hamburgers, and hot dogs
among obese respondents.
Figure 1. Food categories that predominate in the daily diet.
Nutrients 2024, 16, x FOR PEER REVIEW 6 of 18
Figure 1. Food categories that predominate in the daily diet.
According to the recorded answers, among the most preferred junk food products by
young people were fried potatoes (48.57%), pastries, snacks, chips, sweets, and
hamburgers (Figure 2).
Figure 2. The categories of junk food products indicated in the consumption preferences of young people.
The bi-plot indicated that for the BMI group, 92.14% of the observed variability could
be aributed to the two main components (F1: 70.16% and F2: 21.98%). CA showed a
signicant dierence (χ
2
= 57.42 and p = 0.0051) between BMI and the consumption of the
12 types of junk food products (Figure 3) but not between the frequency of consumption
of the analyzed products and respondents with normal BMI and the underweight group.
There was an increased tendency for consumption of french fries, hamburgers, and hot dogs
among obese respondents.
Figure 2. The categories of junk food products indicated in the consumption preferences of
young people.
Nutrients 2024,16, 1769 7 of 17
Nutrients 2024, 16, x FOR PEER REVIEW 7 of 18
Figure 3. The rst two dimensions of correspondence analysis (CA) symmetric plot for BMI groups
and all the 12 types of junk food products.
Coee (58.6%) and sweetened drinks (37.17%) were two of the top non-alcoholic
beverage consumption preferences (Figure 4) among the young participants in this study.
Figure 4. The categories of non-alcoholic beverages indicated in the consumption preferences of
young people.
For BMI, the bi-plot indicated that 88.41% of the variability observed could be
aributed to the two principal components for F1 (71.60%) and F2 (16.81%). The CA
showed a signicant dierence (χ
2
= 52.47 and p < 0.0072) between BMI and the 14 types
of non-alcoholic beverages (Figure 5). Obese and overweight respondents presented
similar proles related to the consumption of non-alcoholic beverages. There was an
Figure 3. The first two dimensions of correspondence analysis (CA) symmetric plot for BMI groups
and all the 12 types of junk food products.
Nutrients 2024, 16, x FOR PEER REVIEW 7 of 18
Figure 3. The rst two dimensions of correspondence analysis (CA) symmetric plot for BMI groups
and all the 12 types of junk food products.
Coee (58.6%) and sweetened drinks (37.17%) were two of the top non-alcoholic
beverage consumption preferences (Figure 4) among the young participants in this study.
Figure 4. The categories of non-alcoholic beverages indicated in the consumption preferences of
young people.
For BMI, the bi-plot indicated that 88.41% of the variability observed could be
aributed to the two principal components for F1 (71.60%) and F2 (16.81%). The CA
showed a signicant dierence (χ
2
= 52.47 and p < 0.0072) between BMI and the 14 types
of non-alcoholic beverages (Figure 5). Obese and overweight respondents presented
similar proles related to the consumption of non-alcoholic beverages. There was an
Figure 4. The categories of non-alcoholic beverages indicated in the consumption preferences of
young people.
Nutrients 2024,16, 1769 8 of 17
Nutrients2024,16,xFORPEERREVIEW8of18
increasedtendencytoconsumesweetenedcarbonateddrinksandenergydrinksamongobese
andoverweightpeople.
Figure5.Thersttwodimensionsofcorrespondenceanalysis(CA)symmetricplotforBMIgroups
andallthe14typesofnon-alcoholicdrinksanalyzed.
Therewasatendencyforanincreaseinthefrequencyofconsumptionofjunkfood
productsamongoverweightandespeciallyobeserespondents(Figure6).
Figure6.FrequencyofjunkfoodproductconsumptionbyBMI(χ
2
=27.06,p=0.025).
Figure 5. The first two dimensions of correspondence analysis (CA) symmetric plot for BMI groups
and all the 14 types of non-alcoholic drinks analyzed.
There was a tendency for an increase in the frequency of consumption of junk food
products among overweight and especially obese respondents (Figure 6).
Regarding the frequency of consumption of sweetened carbonated non-alcoholic
beverages, a tendency toward an increase in the frequency of consumption among normal-
weight respondents can be noted (Figure 7).
Nutrients 2024, 16, x FOR PEER REVIEW 8 of 18
increased tendency to consume sweetened carbonated drinks and energy drinks among obese
and overweight people.
Figure 5. The rst two dimensions of correspondence analysis (CA) symmetric plot for BMI groups
and all the 14 types of non-alcoholic drinks analyzed.
There was a tendency for an increase in the frequency of consumption of junk food
products among overweight and especially obese respondents (Figure 6).
Figure 6. Frequency of junk food product consumption by BMI (χ
2
= 27.06, p = 0.025).
Figure 6. Frequency of junk food product consumption by BMI (χ2= 27.06, p= 0.025).
Nutrients 2024,16, 1769 9 of 17
Nutrients 2024, 16, x FOR PEER REVIEW 9 of 18
Regarding the frequency of consumption of sweetened carbonated non-alcoholic
beverages, a tendency toward an increase in the frequency of consumption among
normal-weight respondents can be noted (Figure 7).
Figure 7. Frequency of non-alcoholic carbonate sweetened beverage consumption by BMI (χ
2
=
22.78, p = 0.030).
Regarding the habit of smoking, there was a higher tendency among male
respondents (Figure 8).
Figure 8. Smoke habits by gender.
In general, the increased tendency of coee consumption was also associated with
the habit of smoking (Figure 9).
Figure 7. Frequency of non-alcoholic carbonate sweetened beverage consumption by BMI (
χ2
= 22.78,
p= 0.030).
Regarding the habit of smoking, there was a higher tendency among male respondents
(Figure 8).
Figure 8. Smoke habits by gender.
In general, the increased tendency of coffee consumption was also associated with the
habit of smoking (Figure 9).
In this study, the respondents were asked to assess whether their health status was
negatively influenced by food. Thus, 27.58% stated that they did not consider that food
affected their health, but in Figure 10, it can be seen that this group did not excessively
consume junk food products and were more oriented toward natural drinks. Notably,
22.19% considered food to negatively influence their health, and these respondents were
the ones who mainly consumed junk food products and realized that this type of food
was not nutritious. In addition, 28.22% declared that they did not know if food negatively
Nutrients 2024,16, 1769 10 of 17
influenced their health, and the rest believed that food influenced their state of health due
to excessive or insufficient consumption.
Nutrients 2024, 16, x FOR PEER REVIEW 10 of 18
Figure 9. Smoke habits by the amount of coee consumption (χ
2
= 78.32, p < 0.001).
In this study, the respondents were asked to assess whether their health status was
negatively inuenced by food. Thus, 27.58% stated that they did not consider that food
aected their health, but in Figure 10, it can be seen that this group did not excessively
consume junk food products and were more oriented toward natural drinks. Notably,
22.19% considered food to negatively inuence their health, and these respondents were
the ones who mainly consumed junk food products and realized that this type of food was
not nutritious. In addition, 28.22% declared that they did not know if food negatively
influenced their health, and the rest believed that food influenced their state of health due to
excessive or insufficient consumption.
Figure 10. Respondents’ perception of the impact of food on their state of health.
Figure 9. Smoke habits by the amount of coffee consumption (χ2= 78.32, p< 0.001).
Nutrients 2024, 16, x FOR PEER REVIEW 10 of 18
Figure 9. Smoke habits by the amount of coee consumption (χ
2
= 78.32, p < 0.001).
In this study, the respondents were asked to assess whether their health status was
negatively inuenced by food. Thus, 27.58% stated that they did not consider that food
aected their health, but in Figure 10, it can be seen that this group did not excessively
consume junk food products and were more oriented toward natural drinks. Notably,
22.19% considered food to negatively inuence their health, and these respondents were
the ones who mainly consumed junk food products and realized that this type of food was
not nutritious. In addition, 28.22% declared that they did not know if food negatively
influenced their health, and the rest believed that food influenced their state of health due to
excessive or insufficient consumption.
Figure 10. Respondents’ perception of the impact of food on their state of health.
Figure 10. Respondents’ perception of the impact of food on their state of health.
According to the recorded answers, the respondents frequently faced states of fatigue
and nervousness, and the female respondents also indicated problems related to emotional
eating and states of depression, panic, or anxiety (Figure 11).
Regarding the respondents’ perception related to the possible development of con-
sumption addictions, it was found that the most incriminated products were coffee,
fried potatoes, hamburgers, shawarma, sweetened drinks, snacks, and pastry products
(Figure 12). There was a slight difference between the sexes.
Nutrients 2024,16, 1769 11 of 17
Nutrients 2024, 16, x FOR PEER REVIEW 11 of 18
According to the recorded answers, the respondents frequently faced states of fatigue
and nervousness, and the female respondents also indicated problems related to
emotional eating and states of depression, panic, or anxiety (Figure 11).
Figure 11. The main problems aecting the respondents’ quality of life.
Regarding the respondents’ perception related to the possible development of
consumption addictions, it was found that the most incriminated products were coee,
fried potatoes, hamburgers, shawarma, sweetened drinks, snacks, and pastry products
(Figure 12). There was a slight dierence between the sexes.
Figure 12. The perception of food addiction among the respondents.
Figure 11. The main problems affecting the respondents’ quality of life.
Nutrients 2024, 16, x FOR PEER REVIEW 11 of 18
According to the recorded answers, the respondents frequently faced states of fatigue
and nervousness, and the female respondents also indicated problems related to
emotional eating and states of depression, panic, or anxiety (Figure 11).
Figure 11. The main problems aecting the respondents’ quality of life.
Regarding the respondents’ perception related to the possible development of
consumption addictions, it was found that the most incriminated products were coee,
fried potatoes, hamburgers, shawarma, sweetened drinks, snacks, and pastry products
(Figure 12). There was a slight dierence between the sexes.
Figure 12. The perception of food addiction among the respondents.
Figure 12. The perception of food addiction among the respondents.
The main reasons indicated by the respondents regarding the consumption of junk
food products were lack of time, satisfying the sweet tooth, the pleasure of consumption,
and advertising (Figure 13).
Among the young respondents participating in this study, the processing of the data
collected with the help of the questionnaire indicated increased preferences and addictions
to the following fast food products: fried potatoes, hamburgers, shawarma, and caloric and
high-fat food products (Table 2). French fries are often eaten together with hamburgers,
which leads to an increased intake of calories and fats, and if they are also accompanied by
sweetened drinks, the caloric intake becomes excessive in cases in which physical activity
is reduced, and the associated consumption is frequent. In the long term, it can lead to
excess weight, the accumulation of adipose tissue, increased insulin resistance, and the
risk of metabolic syndrome. It is also known that junk food products contain numerous
additives, including taste enhancers that stimulate consumption and create addiction
(sodium mono-glutamate, E621).
Nutrients 2024,16, 1769 12 of 17
Nutrients 2024, 16, x FOR PEER REVIEW 12 of 18
The main reasons indicated by the respondents regarding the consumption of junk
food products were lack of time, satisfying the sweet tooth, the pleasure of consumption,
and advertising (Figure 13).
Figure 13. The main reasons for the consumption of fast food or ready-to-eat packaged food.
Among the young respondents participating in this study, the processing of the data
collected with the help of the questionnaire indicated increased preferences and
addictions to the following fast food products: fried potatoes, hamburgers, shawarma,
and caloric and high-fat food products (Table 2). French fries are often eaten together with
hamburgers, which leads to an increased intake of calories and fats, and if they are also
accompanied by sweetened drinks, the caloric intake becomes excessive in cases in which
physical activity is reduced, and the associated consumption is frequent. In the long term,
it can lead to excess weight, the accumulation of adipose tissue, increased insulin
resistance, and the risk of metabolic syndrome. It is also known that junk food products
contain numerous additives, including taste enhancers that stimulate consumption and
create addiction (sodium mono-glutamate, E621).
Table 2. The nutritional characteristics of the fast food products most consumed by young people.
Fast Food Product Kcal Saturated Fats Trans Fats Reference
Hamburger 297 (100 g) 4.49 g (100 g) 0.514 g (100 g) [55]
Shawarma 357 (100 g) 7.14 g (100 g) 0 g (100 g) [56]
Potatoes fried in
vegetable oil 312 (100 g) 2.34 g (100 g) 0.06 g (100 g) [57]
4. Discussion
Following the dissemination of the questionnaire, 1017 responses were collected
(Table 1), with 46.2% of respondents being male and 53.8% female. The respondents were
classied into two age categories, namely teenagers (those aged between 16 and 18 years
(p < 0.028), with 610 participants (i.e., 60%)) and young people aged between 19 and 25
years, with 407 participants (i.e., 40%). Most of the young people came from an urban
environment (81.3%, p = 0.002) and were teenagers.
Among the young participants in this study, 12.7% (p = 0.613) declared that they
practiced sports for at least an hour every day, 27% practiced sports for less than an hour
every day, and 50% rarely engaged in sports activities, while 4.3% said that they did not
Figure 13. The main reasons for the consumption of fast food or ready-to-eat packaged food.
Table 2. The nutritional characteristics of the fast food products most consumed by young people.
Fast Food Product Kcal Saturated Fats Trans Fats Reference
Hamburger 297 (100 g) 4.49 g (100 g) 0.514 g (100 g) [55]
Shawarma 357 (100 g) 7.14 g (100 g) 0 g (100 g) [56]
Potatoes fried in vegetable oil 312 (100 g) 2.34 g (100 g) 0.06 g (100 g) [57]
4. Discussion
Following the dissemination of the questionnaire, 1017 responses were collected (Table 1),
with 46.2% of respondents being male and 53.8% female. The respondents were classified
into two age categories, namely teenagers (those aged between 16 and 18 years
(p< 0.028)
,
with 610 participants (i.e., 60%)) and young people aged between 19 and 25 years, with
407 participants (i.e., 40%). Most of the young people came from an urban environment
(81.3%, p= 0.002) and were teenagers.
Among the young participants in this study, 12.7% (p= 0.613) declared that they
practiced sports for at least an hour every day, 27% practiced sports for less than an
hour every day, and 50% rarely engaged in sports activities, while 4.3% said that they
did not usually practice sports. Thus, it can be observed there is an alarming trend
toward sedentarism among the young participants in the study, with over 50% of them not
performing enough exercise.
According to the respondents’ statements, 17.3% (p= 0.590) of them consumed alco-
holic beverages very rarely or not at all, and 28.4% consumed 2–3 times a month, while the
majority, 76.4%, consumed alcoholic beverages 2–3 times a week, and only 2.8% consumed
one or more servings of alcoholic beverages daily.
Regarding body weight, most of the respondents were of normal weight (59.7% of
them), especially female respondents (64.7% of them), compared to male respondents
(53.8% of them). Among the 117 (11.5%) underweight respondents, most were female (74),
while among the 188 overweight respondents (18.5%), most were male (111), and in the
case of the 105 (10.3%) obese respondents, most were female (74).
In the consumption preferences of young people, meat and meat preparations pre-
dominated (37.07%), and among junk food products, pizza and pastry products were the
main categories. Vegetable products accounted for 23.5% of daily consumption preferences,
a percentage that is below the optimal level (over 50%) recommended by nutritionists
(Figure 1).
Nutrients 2024,16, 1769 13 of 17
The most preferred junk food products (Figure 2) by young people were fried potatoes
(48.57%), pastry products (37.66%), snacks (33.04%), chips (28.52%), sweets (26.45%), and
hamburgers (23.3%).
According to the statistically processed results, overweight and obese respondents
frequently consumed french fries, hamburgers, hot dogs, pastries, shawarma, and pack-
aged sandwiches, while normal-weight and underweight respondents more frequently
consumed candies, packaged sweets, and chips (Figure 3).
Among the most consumed non-alcoholic drinks indicated by the respondents
(Figure 4) were coffee (58.6%), sweetened non-carbonated drinks (37.17%), carbonated
mineral water (33.82%), and natural juices (32.55%).
The statistical data indicate a tendency toward higher consumption of sweetened and
energizing non-alcoholic drinks among overweight and obese young people (Figure 5),
while normal-weight respondents generally consumed plain water, carbonated mineral
water, and black tea. Those who were underweight consumed natural juices and lemonades.
It can be observed that an increased tendency to drink coffee is generally accompanied
by smoking, and in the group of respondents, men were the ones with a greater tendency
to smoke.
More than 28% of the young people interviewed could not answer if food exerted
any impact on their health. We can appreciate that there is a need for an improvement in
nutrition knowledge to understand the impact of food quality on health and to consciously
choose nutritious foods (Figure 10).
A worrying fact found in the study was that although the respondents represented
a young population, according to the recorded answers, there were a series of serious
problems affecting their quality of life, mainly fatigue (44.64% of the respondents declared
that they frequently felt tired) and states of nervousness (33.88% of respondents), and
a higher percentage of these states were recorded among male respondents (Figure 11).
Female respondents additionally faced, in a much higher proportion than male respondents,
problems related to excessive emotional eating, depressive states, anxiety, panic attacks, or
even lack of appetite. A possible explanation would be not only the excessive consumption
of coffee and the relatively frequent consumption of alcoholic beverages or various junk
food products but also the tendency toward sedentarism. Obviously, there are other factors
that should be evaluated, including the duration of sleep, its quality, drug use, and exposure
to pollutants, but diet, along with physical activity, plays a fairly important role in well-
being. Moreover, the percentage of respondents who declared that they felt they developed
an addiction related to the consumption of certain junk food products is worrying, namely
coffee (50.48%), fried potatoes (38.9%), hamburgers (37.05%), shawarma (31.65%), and
snacks (30.08%). Many of these products are rich in calories, saturated fat, and even trans
fat (Figure 12).
The consumption of fast food or ready-to-eat packaged food products was mainly
determined by the lack of time and resorting to these fast food methods (55.46%); the
pleasure of consumption (43.07%), which could also be correlated with food addiction;
the satisfaction of sweet cravings (40.51%), which was much more pronounced in female
respondents and also linked to food addiction; and advertising (33.74%), with female
respondents more receptive to this than their male counterparts (Figure 13).
Regarding the influence of advertising on consumption decisions, the respondents
declared that the most important ones were those broadcast by TV programs and those on
billboards in public spaces.
Regarding consumption preferences for junk food products and alcoholic or non-
alcoholic beverages, there are recent studies involving the Romanian population over
18 years of age that indicate, by comparison, that, in general, among young people (age
segment 16–25 years), there is a significantly higher trend for the consumption of alcoholic
drinks, energy drinks, and fast food products (especially fries, hamburgers, and shawarma)
than among those over 30 years of age [
50
,
51
]. Also, these studies indicate a rather low
trend of consumption of vegetable products (vegetables and fruits) among the population
Nutrients 2024,16, 1769 14 of 17
over 18 years of age, as well as a trend of insufficient hydration. These results are worrying
and indicate the need for the involvement of medical specialists and nutritionists, as well
as competent authorities in developing strategies to improve the eating habits and lifestyle
of the population.
According to an official report published in 2020 by the National Institute of Public
Health in Romania, generated following a study carried out at the national level, the
percentage of smokers among teenagers and young people in the 15–24 age group is
19.97%, and 10.16% of those smoke daily, and 9.81% smoke occasionally [
47
]. The report
also stated that the share of 15–24-year-olds who consumed alcohol in the last 12 months
prior to the interview was 47.11%, and the share of respondents who did not consume
alcohol at all was 38.15%, followed by 17.71%, accounting for those who consumed less
than once a month.
The WHO–HBSC 2017/2018 report states that Romania ranks 6th out of 44 countries,
in descending order, in terms of the frequency of 15-year-old students who smoke at least
once a week, and it also states that Romania is among the countries with an increased
frequency of 15-year-old students who have consumed alcohol at least once in the last
30 days, so Romania is among the countries with consumption higher than 10% for boys
compared to girls, along with Albania, Armenia, Georgia, and the Republic of Moldova [
58
].
Related to physical activity, the report published by the National Institute of Public
Health in Romania indicates that the share of children and young people who, in a typical
week, perform sports, fitness, or various recreational physical activities during their free
time for at least 10 min continuously is higher in the 5–14-year age group (50.24%) and
decreases to more than half of the value in the 15–24-year age group (20.47%), and the
average time allocated to sports also decreases [47].
In a long-term study (2001–2018) among the American population, which included
29,970 children (aged 2–19 years) and 44,501 adults (aged
20 years), an increasing trend
of consumption of junk food products was found among children and adults, especially
among non-Hispanic white and black Americans compared with Mexican Americans [
59
].
A study published in 2022 conducted on the basis of a questionnaire completed by 355
respondents from the Kingdom of Saudi Arabia aged between 20 and 40 years highlighted
an increased preference for the consumption of the following junk food products: french
fries, shawarma, burger, and pizza [60].
Another recently published study (2022) draws attention to the increased tendency
toward physical inactivity and the consumption of unhealthy foods, including junk food
products, among school children from the southern region of India, and the consumption of
unhealthy products was stimulated by taste, increased online food delivery, and attractive
advertisements [61].
The main limitation of the present study is the low participation of young respondents
from rural areas. Another limitation of the study is the subjectivity of the answers to the
questions related to the perception of the impact of food on health because the answers are
also influenced by the nutritional knowledge of the respondents.
5. Conclusions
The present study highlights a series of unhealthy trends in the eating and lifestyle
habits of the young population, such as a tendency toward sedentarism; a trend of increased
consumption of meat and meat preparations; and an increased preference for some junk
food products such as fried potatoes, pastries, snacks, chips, hamburgers, sweetened soft
drinks, coffee and even a relatively high consumption of alcoholic drinks. Many junk food
products are caloric products, rich in unhealthy fats (saturated or trans), and present a
risk of developing addiction to consumption, which is very dangerous for the body. In
the long term, nutritional imbalances can lead to a risk of metabolic syndrome and even
cardiovascular diseases. It is important to present and promote healthy alternatives to
favorite junk food products, not only to young people but also to the population in general.
Nutritional education and guiding young people to strengthen healthy habits are key to a
Nutrients 2024,16, 1769 15 of 17
sustainable increase in the quality of life and viable prevention in terms of pathologies in
the field of metabolic disorders.
Supplementary Materials: The following supporting information can be downloaded at:
https://www.mdpi.com/article/10.3390/nu16111769/s1, Survey: Questionnaire for evaluation
of the junk food products consumption among the teenagers and young population from Romania.
Author Contributions: Conceptualization, M.M., G.S., M.F.C. and M.L.; methodology, A.C.R., S.M.N.
and T.I.S.; software, S.M.N. and T.I.S.; validation, M.M., G.S., M.F.C. and M.L.; formal analysis, G.O.,
F.S. and
S
,
.S.B.; investigation, S.M.N., S.C.B., T.O.N. and C.E.L.; resources, C.E.L.; data curation, F.S.;
writing—original draft preparation, A.C.R. and T.I.S.; writing—review and editing, A.C.R. and T.I.S.;
visualization, C.E.L.; supervision, M.M.; project administration, M.M., G.S., M.F.C. and M.L.; funding
acquisition, G.S. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Institutional Review Board Statement: This study was conducted in accordance with the Declaration
of Helsinki and approved by the Ethics Commission of the Carol Davila University of Medicine and
Pharmacy from Bucharest (protocol code 4201 and date of approval 16 February 2024).
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.
Data Availability Statement: The original contributions presented in the study are included in the
article, further inquiries can be directed to the corresponding author.
Acknowledgments: Publication of this paper was supported by the University of Medicine and
Pharmacy Carol Davila, through the institutional program Publish not Perish.
Conflicts of Interest: The authors declare no conflicts of interest.
References
1.
WHO. Norway: Pilot Study Reveals Staggering Amount of Unhealthy Food and Beverage Marketing to Children and Adolescents.
2021. Available online: https://www.who.int/europe/news/item/03-03- 2021-norway-pilot-study-reveals-staggering-amount-
of-unhealthy-food-and-beverage-marketing-to-children-and-adolescents (accessed on 22 March 2024).
2.
WHO. Monitoring of Marketing of Unhealthy Products to Children and Adolescents—Protocols and Templates. Available
online: https://www.who.int/europe/tools-and-toolkits/monitoring-of- marketing-of-unhealthy-products-to-children-and-
adolescents---protocols-and- templates (accessed on 22 March 2024).
3. Treasure, J.; Duarte, T.A.; Schmidt, U. Eating disorders. Lancet 2020,395, 899–911. [CrossRef] [PubMed]
4.
Santomauro, D.F.; Melen, S.; Mitchison, D.; Vos, T.; Whiteford, H.; Ferrari, A.J. The hidden burden of eating disorders:
An extension of estimates from the Global Burden of Disease Study 2019. Lancet Psychiatry 2021,8, 320–328. [CrossRef]
[PubMed]
5.
Driessen, C.; Kelly, B.; Sing, F.; Backholer, K. Parents’ Perceptions of Children’s Exposure to Unhealthy Food Marketing:
A Narrative Review of the Literature. Curr. Nutr. Rep. 2022,11, 9–18. [CrossRef] [PubMed]
6.
Smith, R.; Kelly, B.; Yeatman, H.; Boyland, E. Food Marketing Influences Children’s Attitudes, Preferences and Consumption:
A Systematic Critical Review. Nutrients 2019,11, 875. [CrossRef] [PubMed]
7.
Hanaysha, J.R. An examination of social media advertising features, brand engagement and purchase intention in the fast food
industry. Br. Food J. 2022,124, 4143–4160. [CrossRef]
8.
Cabeza-Ramírez, L.J.; Sánchez-Cañizares, S.M.; Santos-Roldán, L.M.; Fuentes-García, F.J. Exploring the effectiveness of fashion
recommendations made by social media influencers in the centennial generation. Text. Res. J. 2023,93, 3240–3261. [CrossRef]
9.
Ali-Alsaadi, A.A.; Cabeza-Ramírez, L.J.; Sántos-Roldán, L.; Loor-Zambrano, H.Y. Digital Marketing and Fast-Food Intake in the
UAE: The Role of Firm-Generated Content among Adult Consumers. Foods 2023,12, 4089. [CrossRef] [PubMed]
10.
Dane, A.; Bhatia, K. The social media diet: A scoping review to investigate the association between social media, body image and
eating disorders amongst young people. PLoS Glob. Public Health 2023,3, e0001091. [CrossRef] [PubMed]
11.
Hanaysha, J.R. Impact of social media marketing features on consumer’s purchase decision in the fast-food industry: Brand trust
as a mediator. Int. J. Inf. Manag. Data Insights 2022,2, 100102. [CrossRef]
12.
Bragg, M.A.; Pageot, Y.K.; Amico, A.; Miller, A.N.; Gasbarre, A.; Rummo, P.E.; Elbel, B. Fast food, beverage, and snack brands
on social media in the United States: An examination of marketing techniques utilized in 2000 brand posts. Pediatr. Obes. 2020,
15, e12606. [CrossRef]
13.
Meyerding, S.G.H.; Marpert, J.D. Modern pied pipers: Child social media influencers and junk food on YouTube—A study from
Germany. Appetite 2023,181, 106382. [CrossRef] [PubMed]
14.
Lăzăroiu, G.; Neguri¸tă, O.; Grecu, I.; Grecu, G.; Mitran, P.C. Consumers’ Decision-Making Process on Social Commerce Platforms:
Online Trust, Perceived Risk, and Purchase Intentions. Front. Psychol. 2020,11, 890. [CrossRef]
Nutrients 2024,16, 1769 16 of 17
15.
Jia, P.; Luo, M.; Li, Y.; Zheng, J.-S.; Xiao, Q.; Luo, J. Fast-food restaurant, unhealthy eating, and childhood obesity: A systematic
review and meta-analysis. Obes. Rev. 2021,22, e12944. [CrossRef] [PubMed]
16.
Bohara, S.S.; Thapa, K.; Bhatt, L.D.; Dhami, S.S.; Wagle, S. Determinants of Junk Food Consumption Among Adolescents in
Pokhara Valley, Nepal. Front. Nutr. 2021,8, 644650. [CrossRef] [PubMed]
17.
Malik, V.S.; Pan, A.; Willet, W.C.; Hu, F.B. Sugar-sweetened beverages and weight gain in children and adults: A systematic
review and meta-analysis. Am. J. Clin. Nutr. 2013,98, 1084–1102. [CrossRef] [PubMed]
18.
Cruz, L. Legal Guide on School Food and Nutrition—Legislating for a Healthy School Food Environment; FAO Legal Guide No. 2; FAO:
Rome, Italy, 2020. [CrossRef]
19.
Gorski, M.T.; Roberto, C.A. Public health policies to encourage healthy eating habits: Recent perspectives. J. Healthc. Leadersh.
2015,7, 81–90. [CrossRef] [PubMed]
20.
Gearhardt, A.N.; Grilo, C.M.; DiLeone, R.J.; Brownell, K.D.; Potenza, M.N. Can food be addictive? Public health and policy
implications. Addiction 2011,106, 1208–1212. [CrossRef]
21.
Mandoura, N.; Al-Raddadi, R.; Abdulrashid, O.; Shah, H.B.U.; Kassar, S.M.; Adel Hawari, A.R.; Jahhaf, J.M. Factors Associated
with Consuming Junk Food among Saudi Adults in Jeddah City. Cureus 2017,9, e2008. [CrossRef] [PubMed]
22.
Ertz, M.; Le Bouhart, G. The Other Pandemic: A Conceptual Framework and Future Research Directions of Junk Food Marketing
to Children and Childhood Obesity. J. Macromark. 2022,42, 30–50. [CrossRef]
23.
Gheonea, T.C.; Oancea, C.-N.; Mititelu, M.; Lupu, E.C.; Ioni
t
,
ă-Mîndrican, C.-B.; Rogoveanu, I. Nutrition and Mental Well-Being:
Exploring Connections and Holistic Approaches. J. Clin. Med. 2023,12, 7180. [CrossRef]
24.
Jones, B.L.; Orton, A.L.; Tindall, S.W.; Christensen, J.T.; Enosakhare, O.; Russell, K.A.; Robins, A.-M.; Larriviere-McCarl, A.;
Sandres, J.; Cox, B.; et al. Barriers to Healthy Family Dinners and Preventing Child Obesity: Focus Group Discussions with
Parents of 5-to-8-Year-Old Children. Children 2023,10, 952. [CrossRef] [PubMed]
25.
Calcaterra, V.; Cena, H.; Rossi, V.; Santero, S.; Bianchi, A.; Zuccotti, G. Ultra-Processed Food, Reward System and Childhood
Obesity. Children 2023,10, 804. [CrossRef] [PubMed]
26.
Kavey, R.-E.W. How Sweet It Is: Sugar-Sweetened Beverage Consumption, Obesity, and Cardiovascular Risk in Childhood. J. Am.
Diet. Assoc. 2010,110, 1456–1460. [CrossRef] [PubMed]
27.
Calcaterra, V.; Cena, H.; Magenes, V.C.; Vincenti, A.; Comola, G.; Beretta, A.; Di Napoli, I.; Zuccotti, G. Sugar-Sweetened
Beverages and Metabolic Risk in Children and Adolescents with Obesity: A Narrative Review. Nutrients 2023,15, 702. [CrossRef]
28.
Singh, S.A.; Dhanasekaran, D.; Ganamurali, N.L.P.; Sabarathinam, S. Junk food-induced obesity- a growing threat to youngsters
during the pandemic. Obes. Med. 2021,26, 100364. [CrossRef] [PubMed]
29.
Poti, J.M.; Duffey, K.J.; Popkin, B.M. The association of fast food consumption with poor dietary outcomes and obesity among
children: Is it the fast food or the remainder of the diet? Am. J. Clin. Nutr. 2014,99, 162–171. [CrossRef] [PubMed]
30.
Kazi, R.N.A.; El-Kashif, M.M.L.; Ahsan, S.M. Prevalence of salt rich fast food consumption: A focus on physical activity and
incidence of hypertension among female students of Saudi Arabia. Saudi J. Biol. Sci. 2020,27, 2669–2673. [CrossRef] [PubMed]
31. Clemente-Suárez, V.J.; Beltrán-Velasco, A.I.; Redondo-Flórez, L.; Martín-Rodríguez, A.; Tornero-Aguilera, J.F. Global Impacts of
Western Diet and Its Effects on Metabolism and Health: A Narrative Review. Nutrients 2023,15, 2749. [CrossRef] [PubMed]
32.
Nair, M.K.; Augustine, L.F.; Konapur, A. Food-Based Interventions to Modify Diet Quality and Diversity to Address Multiple
Micronutrient Deficiency. Front. Public Health 2016,3, 277. [CrossRef] [PubMed]
33.
Grajek, M.; Krupa-Kotara, K.; Białek-Dratwa, A.; Sobczyk, K.; Grot, M.; Kowalski, O.; Sta´skiewicz, W. Nutrition and mental
health: A review of current knowledge about the impact of diet on mental health. Front. Nutr. 2022,9, 943998. [CrossRef]
34.
Sangsefidi, Z.S.; Lorzadeh, E.; Hosseinzadeh, M.; Mirzaei, M. Dietary habits and psychological disorders in a large sample of
Iranian adults: A population-based study. Ann. Gen. Psychiatry. 2020,19, 8. [CrossRef] [PubMed]
35.
Firth, J.; Gangwisch, J.E.; Borisini, A.; Wootton, R.E.; Mayer, E.A. Food and mood: How do diet and nutrition affect mental
wellbeing? BMJ 2020,369, m2382. [CrossRef] [PubMed]
36. Fuhrman, J. The Hidden Dangers of Fast and Processed Food. Am. J. Lifestyle Med. 2018,12, 375–381. [CrossRef] [PubMed]
37.
FAO; IFAD; UNICEF; WFP; WHO. The State of Food Security and Nutrition in the World 2023. Urbanization, Agrifood Systems
Transformation and Healthy Diets Across the Rural–Urban Continuum; FAO: Rome, Italy, 2023. [CrossRef]
38.
Banerjee, A.; Mukherjee, S.; Maji, B.K. Worldwide flavor enhancer monosodium glutamate combined with high lipid diet
provokes metabolic alterations and systemic anomalies: An overview. Toxicol. Rep. 2021,8, 938–961. [CrossRef] [PubMed]
39.
Maldonado-Pereira, L.; Barnaba, C.; De los Campos, G.; Medina-Meza, I. Evaluation of the Nutritional Quality of Ultra-Processed
Foods (Ready to Eat + Fast Food): Fatty Acid Composition. medRxiv 2021. [CrossRef] [PubMed]
40.
Maldonado-Pereira, L.; Barnaba, C.; Medina-Meza, I.G. Dietary Exposure to Oxidized Lipids in US Infants. medRxiv 2022.
[CrossRef]
41.
Machin, L.; Antunez, L.; Curutchet, M.R.; Ares, G. The heuristics that guide healthiness perception of ultra-processed foods:
A qualitative exploration. Public Health Nutr. 2020,23, 2932–2940. [CrossRef] [PubMed]
42.
Mititelu, M.; Nicolescu, T.O.; Ioni¸tă, C.A.; Nicolescu, F. Heavy Metals Analisys in Some Wild Edible Mushrooms. J. Environ. Prot.
Ecol. 2012,13, 875–879.
43.
Ioni¸tă, A.C.; Ghica, M.; Moro¸san, E.; Nicolescu, F.; Mititelu, M.
In vitro
effects of some synthesized aminoacetanilide n’-substituted
on human leukocytes separated from peripheral blood. Farmacia 2019,67, 684–690. [CrossRef]
Nutrients 2024,16, 1769 17 of 17
44.
Mititelu, M.; Ioni¸tă, A.C.; Moro¸san, E. Research regarding integral processing of mussels from Black Sea. Farmacia 2014,
62, 625–632.
45. Mititelu, M.; Neacsu, S.M.; Oprea, E.; Dumitrescu, D.-E.; Nedelescu, M.; Drăgănescu, D.; Nicolescu, T.O.; Rosca, A.C.; Ghica, M.
Black Sea Mussels Qualitative and Quantitative Chemical Analysis: Nutritional Benefits and Possible Risks through Consumption.
Nutrients 2022,14, 964. [CrossRef]
46.
Ioni
t
,
ă-Mîndrican, C.-B.; Mititelu, M.; Musuc, A.M.; Oprea, E.; Ziani, K.; Neac
s
,
u, S.M.; Grigore, N.D.; Negrei, C.; Dumitrescu,
D.-E.; Mire
s
,
an, H.; et al. Honey and Other Beekeeping Products Intake among the Romanian Population and Their Therapeutic
Use. Appl. Sci. 2022,12, 9649. [CrossRef]
47.
Institutul Na
t
,
ional de Sănătate Publică. Raportul Na
t
,
ional de Sănătate a Copiilor
s
,
i Tinerilor din România. 2020. Available online:
https://insp.gov.ro/2021/12/13/raport-national-de-sanatate-a-copiilor-si- tinerilor-din-romania-2020/ (accessed on 23 May
2024).
48.
Institutul Na
t
,
ional de Sănătate Publică. Raport Na
t
,
ional privind Starea de Sănătate a Popula
t
,
iei României. 2020. Available online:
https://insp.gov.ro/wpfb-file/raportul-national-al-starii-de-sanatate-a-populatiei-2020-pdf/ (accessed on 23 May 2024).
49.
World Obesity Federation. World Obesity Atlas. 2023. Available online: https://data.worldobesity.org/publications/?cat=19
(accessed on 23 May 2024).
50.
Mititelu, M.; Oancea, C.-N.; Neac
s
,
u, S.M.; Musuc, A.M.; Gheonea, T.C.; Stanciu, T.I.; Rogoveanu, I.; Hashemi, F.; Stanciu, G.;
Ioni
t
,
ă-Mîndrican, C.-B.; et al. Evaluation of Junk Food Consumption and the Risk Related to Consumer Health among the
Romanian Population. Nutrients 2023,15, 3591. [CrossRef] [PubMed]
51.
Năstăsescu, V.; Mititelu, M.; Stanciu, T.I.; Drăgănescu, D.; Grigore, N.D.; Udeanu, D.I.; Stanciu, G.; Neac
s
,
u, S.M.; Dinu-Pîrvu,
C.E.; Oprea, E.; et al. Food Habits and Lifestyle of Romanians in the Context of the COVID-19 Pandemic. Nutrients 2022,14, 504.
[CrossRef] [PubMed]
52. Leahu, A.; Lupu, E.C. Statistical simulation and prediction in software reliability. Analele Univ. Ovidius Constanta Ser. Mat. 2008,
16, 81–90.
53.
Rezultate Definitive: Caracteristici Demografice. Available online: https://www.recensamantromania.ro/rezultate-rpl- 2021
/rezultate-definitive-caracteristici-demografice/ (accessed on 5 March 2024).
54. Cochran, W.G. Sampling Techniques, 3rd ed.; John Wiley & Sons: New York, NY, USA, 1977.
55.
FoodData Central. Available online: https://fdc.nal.usda.gov/fdc- app.html#/food-details/170693/nutrients (accessed on
8 May 2024).
56.
FoodData Central. Available online: https://fdc.nal.usda.gov/fdc-app.html#/food-details/1923605/nutrients (accessed on
8 May 2024).
57.
FoodData Central. Available online: https://fdc.nal.usda.gov/fdc- app.html#/food-details/170698/nutrients (accessed on
8 May 2024).
58.
Moor, I.; Winter, K.; Bilz, L.; Bucksch, J.; Finne, E.; John, N.; Kolip, P.; Paulsen, L.; Ravens-Sieberer, U.; Schlattmann, M.; et al. The
2017/18 Health Behavior in School-aged Children (HBSC) study—Methodology of the World Health Organization’s child and
adolescent health study. J. Health Monit. 2020,5, 88–102. [CrossRef] [PubMed]
59.
Liu, J.; Lee, Y.; Micha, R.; Li, Y.; Mozaffarian, D. Trends in junk food consumption among US children and adults, 2001–2018.
Am. J. Clin. Nutr. 2021,114, 1039–1048. [CrossRef] [PubMed]
60.
Amer, S.A.; Alasmari, S.A.; Amer, M.A.; Aissa, N.A.; Abd-Ellatif, E.E. Assessment of Fast and Junk Food Consumption and
Addiction among Saudi Population. National Descriptive Study 2020. Curr. Res. Nutr. Food Sci. 2022,10, 19–30. [CrossRef]
61.
Nancy, S.; Rahman, K.M.; Kumar, S.S.; Sofia, S.; Robins, M.A. Reasons and solutions for unhealthy food consumption and physical
inactivity among school-going adolescents: A sequential mixed-methods study in Puducherry, South India. J. Family Med. Prim.
Care 2022,11, 6970–6977. [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual
author(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.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Quality of life, well-being, and psycho-emotional balance are closely related to the quality of the diet, the level of physical activity, the quality of rest, but also the absence of the consumption of narcotic substances and tobacco, or alcohol abuse. Based on the distribution of a questionnaire that included 30 questions, we aimed to statistically evaluate several factors that influence mental health and vices. It recorded a total of 1719 valid responses, which came from 78.3% female respondents and 21.7% male respondents. After processing the anthropometric data, it was observed that the majority of respondents are of normal weight (63.87%) and come from women in particular (36.13%). Based on the answers recorded, although over 60% of the respondents participating in the study are up to 40 years old, there is an increased tendency towards sedentarism (over 58% of the respondents declaring that they do sports very rarely or not at all), a low tendency regarding optimal consumption of vegetables and fruits, many respondents do not hydrate properly, which is why approximately 60% of respondents feel frequently tired, and over 32% are frequently nervous. The increased level of stress among the respondents and emotional eating are also generated by inadequate rest, reduced physical activity, and a diet that does not help the efficient detoxification of the body.
Article
Full-text available
Entre cinco organismos de la Organización de las Naciones Unidas: la Organización de las Naciones Unidas para la Alimentación y Agricultura (FAO, por sus siglas en inglés); el Fondo Internacional de Desarrollo Agrícola (FIDA), la Organización Mundial de la Salud (OMS), el Programa Mundial de Alimentos (PMA) y el Fondo de las Naciones Unidas para la Infancia (UNICEF, por sus siglas en inglés) han publicado recientemente un texto que cada año es esperado: El estado de la seguridad alimentaria y nutricional (SAN) en el mundo, en su versión 2023. En este año contiene un subtítulo muy sugerente: Urbanización, trans-formación de los sistemas agroalimentarios y dietas saludables a lo largo del continuo rural-urbano, que ponen de relieve una de las problemáticas y desafíos más visibles en el mundo que es el proceso de urbanización en prácticamente todos los países. Este ejemplar comprende seis capítulos, incluyendo la introducción y la conclusión. El capítulo 2 aborda la SAN en el mundo; el capítulo 3 se refiere a cómo la urbanización está transformando los sistemas alimentarios y afectando el acceso a dietas asequibles y saludables en los ámbitos rural-urbano; el siguiente capítulo se examina la oferta y demanda de alimentos y el costo y asequibilidad de las dietas saludables y en el capítulo 5 se analiza la viabilidad de políticas y soluciones para aprovechar la transformación de los sistemas agroalimentarios en favor de las dietas saludables en lo que se denomina el continuo rural-urbano (dos ámbitos que cada vez se articulan más). En la Introducción se apunta que los efectos de la pandemia y el posterior proceso de recuperación económica (en el que seguimos inmersos), la guerra en Ucrania y el 1 FAO, IFAD, UNICEF, WFP and WHO. 2023. The State of Food Security and Nutrition in the World 2023. Urbanization, agrifood systems transformation and healthy diets across the rural-urban continuum. Rome, FAO. https://doi.
Article
Full-text available
In the contemporary digital marketing context, this study aimed to investigate the influence of firm-generated content and social media advertising on fast-food consumption patterns among the adult population. Utilizing a questionnaire distributed to customers of a restaurant in Fujairah, United Arab Emirates, convenience sampling was employed. The findings underscored a significant positive relationship between firm-generated content and social media engagement, as well as between the latter and online shopping behavior. However, it was determined that word of mouth did not significantly moderate the relationship between attitudes towards social media advertisements and fast-food consumption patterns. From a theoretical perspective, these results enrich the understanding of how digital dynamics shape consumer behavior in specific contexts. Practically speaking, they prompt a critical reflection on the ethics of marketing in promoting products potentially detrimental to health, urging both companies and policymakers to reconsider their strategies and regulations, respectively.
Article
Full-text available
Citation: Mititelu, M.; Oancea, C.-N.; Neacs , u, S.M.; Musuc, A.M.; Gheonea, T.C.; Stanciu, T.I.; Rogoveanu, I.; Hashemi, F.; Stanciu, G.; Ionit ,ȃ-Mîndrican, C.-B.; et al. Abstract: Premature aging and degradative processes are mainly generated by unhealthy habits and an unbalanced diet. Quality of food and lifestyle are important factors in sano-genesis. Many imbalances and ailments have their origin in the adoption of an unbalanced diet and a disordered lifestyle. With the help of a transversal study carried out on the basis of a questionnaire, the consumption of junk food products among the population of Romania was evaluated; at the same time, an evaluation of the characteristics of the associated diet, as well as a series of lifestyle components (quality of rest, physical activity, evaluation of the state of health) was carried out. The data collected and processed indicate an increased tendency to consume junk food products in the 18-23 age group, and especially among obese respondents. Female respondents show a lower tendency toward an increased consumption of junk food products (OR = 0.703, 95% CI)-0.19-0.95, p = 0.011) compared to male respondents. The most consumed junk food products are fried potatoes (46.2%) and pastries (41.4%). Junk food products that show an increased tendency toward consumption addiction are fried potatoes (13.8%), sweets (12.4%), pastry products (11.1%), and sweetened drinks (11.2%). The poor quality of food from a nutritional point of view, and reduced physical activity, are reflected in the varied range of problems faced by the respondents: states of fatigue (62.4%), nervousness (37.5%), depression, anxiety, emotional eating, etc. Nutrients 2023, 15, 3591. https://doi.org/10.3390/nu15163591 https://www.mdpi.com/journal/nutrients Nutrients 2023, 15, 3591
Article
Full-text available
The Western diet is a modern dietary pattern characterized by high intakes of pre-packaged foods, refined grains, red meat, processed meat, high-sugar drinks, candy, sweets, fried foods, conventionally raised animal products, high-fat dairy products, and high-fructose products. The present review aims to describe the effect of the Western pattern diet on the metabolism, inflammation, and antioxidant status; the impact on gut microbiota and mitochondrial fitness; the effect of on cardiovascular health, mental health, and cancer; and the sanitary cost of the Western diet. To achieve this goal, a consensus critical review was conducted using primary sources, such as scientific articles, and secondary sources, including bibliographic indexes, databases, and web pages. Scopus, Embase, Science Direct, Sports Discuss, ResearchGate, and the Web of Science were used to complete the assignment. MeSH-compliant keywords such “Western diet”, “inflammation”, “metabolic health”, “metabolic fitness”, “heart disease”, “cancer”, “oxidative stress”, “mental health”, and “metabolism” were used. The following exclusion criteria were applied: (i) studies with inappropriate or irrelevant topics, not germane to the review’s primary focus; (ii) Ph.D. dissertations, proceedings of conferences, and unpublished studies. This information will allow for a better comprehension of this nutritional behavior and its effect on an individual’s metabolism and health, as well as the impact on national sanitary systems. Finally, practical applications derived from this information are made.
Article
Full-text available
Background: Although numerous physical and mental health benefits for children have been linked to family dinners, many families still do not have regular family meals together. This study sought to identify the barriers that keep families from having dinners together. Methods: We interviewed 42 parents of 5-to-8-year-old children in small focus groups to identify barriers and challenges that keep families from having healthy and consistent dinners together. Results: Parents reported the main barriers were time (e.g., time strain and overscheduling, mismatched schedules, long work hours, etc.), lack of meal planning or failure to follow plans, lack of skills (e.g., cooking skills or nutritional awareness), external factors (e.g., daycare, schools, or extended family, and competing with advertising), and food-related challenges (e.g., picky eating, food allergies). Parents also suggested potential solutions to overcome these barriers. Conclusions: Overall, parents had a desire to have family dinners with their children, but they felt that there are many barriers keeping them from establishing or maintaining consistent family mealtimes. Future research, as well as child obesity prevention and intervention efforts, should consider these barriers and suggested solutions in efforts to promote healthy and consistent family meals as a means of lowering the prevalence of childhood obesity.
Article
Full-text available
Obesity and overweight are a major public health problem globally. Diet quality is critical for proper child development, and an unhealthy diet is a preventable risk factor for noncommunicable diseases (NCDs), such as obesity. Consumption of sugar-sweetened beverages and ultra-processed foods (UPFs) in childhood may increase the BMI/BMI z-score, body fat percentage, or likelihood of overweight. A strict feeding regulation system allows for sufficient food to be consumed to meet ongoing metabolic demands while avoiding overconsumption. This narrative review explores the issues of obesity and the regulation of food intake related to reward systems and UPF consumption. Nutrient composition alone cannot explain the influence of UPFs on the risk of obesity. Furthermore, the non-nutritional properties of UPFs may explain the mechanisms underlying the relationship with obesity and NCDs. UPFs are designed to be highly palatable, appealing, and energy dense with a unique combination of the main taste enhancer ingredients to generate a strong rewarding stimulus and influence the circuits related to feeding facilitation. How individual UPF ingredients influence eating behavior and reward processes remains not fully elucidated. To increase the knowledge on the relationship between UPFs and pediatric obesity, it may be useful to limit the rapid growth in the prevalence of obesity and subsequent related complications, and to develop new strategies for appropriate food and nutrition policies.
Article
Full-text available
Background Eating disorders are a group of heterogenous, disabling and deadly psychiatric illnesses with a plethora of associated health consequences. Exploratory research suggests that social media usage may be triggering body image concerns and heightening eating disorder pathology amongst young people, but the topic is under-researched as a global public health issue. Aim To systematically map out and critically review the existing global literature on the relationship between social media usage, body image and eating disorders in young people aged 10–24 years. Methods A systematic search of MEDLINE, PyscINFO and Web of Science for research on social media use and body image concerns / disordered eating outcomes published between January 2016 and July 2021. Results on exposures (social media usage), outcomes (body image, eating disorders, disordered eating), mediators and moderators were synthesised using an integrated theoretical framework of the influence of internet use on body image concerns and eating pathology. Results Evidence from 50 studies in 17 countries indicates that social media usage leads to body image concerns, eating disorders/disordered eating and poor mental health via the mediating pathways of social comparison, thin / fit ideal internalisation, and self-objectification. Specific exposures (social media trends, pro-eating disorder content, appearance focused platforms and investment in photos) and moderators (high BMI, female gender, and pre-existing body image concerns) strengthen the relationship, while other moderators (high social media literacy and body appreciation) are protective, hinting at a ‘self-perpetuating cycle of risk’. Conclusion Social media usage is a plausible risk factor for the development of eating disorders. Research from Asia suggests that the association is not unique to traditionally western cultures. Based on scale of social media usage amongst young people, this issue is worthy of attention as an emerging global public health issue.
Article
Full-text available
Unlabelled: Sugar-sweetened beverages (SSBs) are major contributors of free sugars to the diet. A strong relationship between SSB intake and weight gain is described. Methods: we performed a narrative review to present an overview of the role of SSBs as a pivotal contributor in the development of obesity and metabolism-related complications. Results: different factors influence SSB consumption in children, including economic variables, individual attributes and behaviors to environmental factors, parent features and parents' behaviors. Data suggest that SSB intake has a negative effect on weight and obesity-related diseases. The leading mechanism linking SSB intake to the risk of gaining weight is decreased satiety and incomplete compensatory reduction in energy intake at meals following ingestion of liquid calories. Additionally, the effects of SSBs on gut microbiota and on eating behaviors were also reported. An association between SSB intake, weight gain and cardiometabolic risks is evident. Consumption of SSBs had a significant impact on the prevalence of obesity and related metabolic risks, including insulin resistance, type 2 diabetes, hypertension and metabolic syndrome. Conclusions: Limiting consumption of SSBs and increasing knowledge of the effect of SSBs on early metabolic and cardiovascular disorders will be useful in developing strategies to counteract the problem and to prevent obesity and related complications.Key future research areas for which further studies are needed include investigating the long-term effects of SSBs on health outcomes as well as analyzing the health effects of sugar consumed in solid compared to liquid forms and further elucidating the biological mechanisms of sugar addiction and energy compensation.
Article
Previous literature has highlighted the social media influencer's (SMI's) credibility as a crucial factor in explaining the persuasive power of recommendations. To date, however, there have been very few studies that have shed light on the role of the audience's product involvement in mitigating risk and enhancing the authenticity of SMIs' messages. The present analysis sought to fill this gap, checking whether the relationship between involvement (fashion consciousness), perceived risk, and perceived message authenticity among SMIs' had an impact on the audience's attitude and purchase intention. To do so, we present a new exploratory model using an extension of the theory of planned behavior, and we focus on fashion recommendations aimed at the centennial generation. The empirical analysis was carried out on a sample of 690 SMI followers, using partial least squares-structural equation modeling. The results confirmed that high levels of involvement with fashion products improved the perceived authenticity of the recommendations, increased the influence of the social group of belonging, and intensified the power of the recommendations. This paper contributes to the literature by studying a set of variables that have proved relevant to the analysis of influencer marketing. Moreover, as a novelty, the research provides knowledge on the presence of perceived risk and the influence of product involvement on younger consumers. Our results could help managers, marketers, and influencers in the fashion and textile industry. By identifying product involvement as a key construct, we confirmed that the different operators must work on product promotions that appeal to fashion values.