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Mehrabbeik A, Askari M, Mozaffari-Khosravi H, Namiranian N, Aghaee Meybody S M. Prevalence of Obesity among Elementary Students during COVID-19 Pandemic in Yazd, Iran. JNFS 2022; 7 (1) :99-107
URL: http://jnfs.ssu.ac.ir/article-1-434-en.html
Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Prevalence of Obesity among Elementary Students during COVID-19 Pandemic in Yazd, Iran

Akram Mehrabbeik; PhD 1, Maryam Askari; MSc 2, Hassan Mozaffari-Khosravi; Phd 1,3,
Nasim Namiranian; MD *1 & Seied Mohammadreza Aghaee Meybody; MD 1

1 Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

2 Genetic and Environmental Adventures Research Center, School of Abarkouh Paramedicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

3 Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

 

ARTICLE INFO

 

ABSTRACT

ORIGINAL ARTICLE

 

Background: Childhood obesity can affect life in three aspects, including continuing obesity after childhood, increased risk of chronic diseases, and mortality. Over the last year, students' lifestyles have changed due to the COVID-19 pandemic. In order to plan educational interventions to improve students' health, this study aimed to investigate the prevalence of obesity among elementary students during COVID-19 pandemic in Yazd, Iran. Methods: This cross-sectional study was conducted on 583 elementary students in 4th-6th grades (aged 10-12 years) in Yazd in 2021. The participants were recruited using multistage sampling (cluster, stratified, and random) method. Data collection tools included the physical activity questionnaire for older children (PAQ-C) and a validated researcher-made questionnaire in terms of fast food and carbonated sweet beverages consumption. Body mass index (BMI) was calculated using the students’ height and weight information registered in student electronic registration system (SANAD).  Results: The prevalence of overweight and obesity among primary school students was 23.9% and 14.5%, respectively. Gender (P < 0.0001), type of school (P < 0.0001), mother’s education level (P = 0.03), amount of carbonated sweet beverages (P < 0.0001), and level of physical activity (P = 0.04) were associated with BMI status. There was no significant association between frequency of students’ consumption of fast food (P = 0.41) or soft drinks and BMI status (P = 0.48). Conclusion: During the COVID-19 outbreak, students’ weight gain has been more affected by reducing physical activity than consuming high-calorie foods. Therefore, it is required to create new infrastructure and opportunities for improving physical activity among students.

 

Keywords: Students; Obesity; COVID-19; Pandemic

Article history:

Received: 24 Jun 2021

Revised: 26 Sep 2021

Accepted: 26 Sep 2021

*Corresponding author:

namiranian.nasim@gmail.com

Diabetes Research Center, Talar-e-Honar Alley, Shahid Sadoughi Blvd., Yazd, Iran.

 

Postal code: 8917693571

Tel: +98 3537280226

 

Introduction

 

The prevalence of overweight and obesity doubled worldwide since 1980. In 2015, a total of 107.7 million children and 603.7 million adults were obese (Collaborators, 2017). Childhood obesity can affect the whole life in three aspects, including continuing obesity after childhood, increased risk of chronic diseases, and mortality (Wang et al., 2018a). Obese children are of obesity in adulthood five times more than children with normal weight. Studies have shown that about 55% of obese children remain obese during adolescence, and about 80% of these adolescents develop obesity in adulthood (Simmonds et al., 2016). The adolescent obesity is associated with morbidity and mortality of cardiovascular disease and metabolic disorders in middle ages (Berenson and group, 2012, Olds et al., 2011). Additionally there is a strong association between higher body mass index (BMI) during adolescence and increased risk for several malignancies, such as leukemia, Hodgkin's disease, colorectal cancer, and breast cancer in adulthood (Weihrauch-Bluher et al., 2019).

If the onset of obesity occurs around seven years old, and if this trend continues until puberty, the risk of type 2 diabetes in adulthood will significantly increase, even with normal body weight before seven. In other words, for every 2 years of obesity, the risk of type 2 diabetes increases by 14%  (Mei et al., 2016). According to research results, 5.1% of Iranian students are overweight and 10.8% are obese (Kelishadi et al., 2017). A study in Yazd also showed that the prevalence of overweight and obesity among elementary students was 10.9% and 20.6%, respectively (Gholami et al., 2019).

In fact, one of the important factors in increasing obesity in children worldwide is the change of their dietary habits. Availability and accessibility to high-calorie foods and sweet drinks, along with strategies for profitable trade, all lead to excessive energy intake at the beginning of childhood. In addition, daily physical activity has decreased dramatically over the past decades, and leisure time activities have focused on the use of new media and sedentary behaviors  (Mei et al., 2016, Swinburn et al., 2011). According to CASPIAN study results, 11.66% of students in Yazd eat fast food daily, and only 32% of them use raw or cooked vegetables daily, and 51.25% of them have physical activity at least three days in a week for at least half an hour (Mohammad et al., 2016).

During the last year, students' lifestyle changes were more noticeable due to the COVID-19 pandemic. Because of lock down, students have experienced new conditions and spent most of their time at home like summer vacation. According to several studies, students gain weight during summer vacation rather than school times (von Hippel and Workman, 2016, Wang et al., 2015). Since assessing the current situation is the first step in implementing educational interventions to improve students' health, thus this study investigated the prevalence of obesity among elementary students during COVID-19 pandemic in Yazd, Iran.

Materials and Methods

Study design and participants: This cross-sectional study was conducted on 583 elementary students aged 10-12 years in Yazd in 2021. The participants were recruited using multistage sampling (cluster, stratified, and random) method. In the other words, cluster sampling was used to select educational areas in Yazd, and then the schools in each cluster (area) were stratified according to gender (girls and boys) and the type of school (state and private), and finally 12 schools were randomly selected. In each selected school, among 4th-6th grades, classes were randomly selected. Students whose height and weight information was not recorded in the school system were excluded from the study.

Obesity and overweight definition: According to the World Health Organization (WHO) definition, obesity and overweight was diagnosed based on weight, height, and BMI flowcharts and percentiles. BMI  ≥ the 97th percentile, between the 85th - 97th percentile, between the 15th - 85th percentile, and > the 15th percentile were classified as obese, overweight, normal, and underweight,  respectively (World Health Organization, 2007).

Physical activity: The tool for measuring the students' physical activity in this study included the standard children's physical activity questionnaire (PAQ-C). The validity and reliability of this questionnaire has been previously confirmed in the Iranian children (Kelishadi et al., 2017). The PAQ-C is a self-administered, 7-day recall instrument. It consist of 9 items and each item have a value from 1 to 5 and the mean score of 9 items indicates the physical activity (Kowalski et al., 2004) at low (PAQ-C score: 1–1.9) and high (PAQ-C score: 2–5) levels (Adeniyi et al., 2011).

Fast food and beverages consumption: Based on the previous studies (Mohammadbeigi et al., 2018, Nelson and Lytle, 2009), fast food
and beverages consumption was measured by a validated researcher-made questionnaire. Outcomes in fast food questionnaire were type of fast foods and frequency of consumption. Reliability of the content was approved by an expert panel consist of 4 nutritionists and 2 health educators. To assess the reliability of the questionnaire, Cronbach's alpha coefficient was calculated and accepted by 0.74. Beverage consumption was measured by two questions, including “How often do you drink carbonated sweet beverages?” and “How much do you usually drink
carbonated sweet beverages each time”. Due to the lack of access to students during the pandemic, all questionnaires were designed electronically and sent to one of the parents' mobile phones. In order to increase the accuracy of the answer, parents (in most cases mothers) were asked to accompany the students in completing the questionnaire.

Ethical considerations: This research was approved by the Ethics Committee of Shahid Sadoughi University of Medical Sciences with the number IR.SSU.REC.1398.240. The consent
form of the study was designed at the beginning of the electronic questionnaire and the participants were directed to the question page after its approval.

Data analysis: The data were analyzed using SPSS version 22 (IBM, USA). In order to show mean demographic characteristics, standard deviations and percentages were reported. Statistically significant differences among qualitative variables were measured using Pearson Chi-square test. One-way ANOVA test was used to compare mean score of physical activity among

four BMI categories. A significance level of P-value ≤ 0.05 was considered for all analyses.

Results

Demographic characteristics of the participants are presented in Table 1. Among 586 students participating in this study, 298 (50.9%) were girls and 288 (49.1%) were boys. The prevalence of underweight, normal weight, overweight, and obesity among the participants was 7%, 56.4%, 23.9%, and 14.5%, respectively. Totally, 63% of students were from state schools and 37% from private schools. The level of father’s education in 40.8% of the samples was high school and diploma and 57% of the samples had mothers with university education. The participants' BMI status was related to the type of school, gender, and mother's education.

Fast food and sweetened beverage consumption are shown in Table 2. More than half of the participants (59.7%) consumed fast food less than once a month and 44.7% of them stated that never or rarely use carbonated soft drinks. Approximately half of the subjects (51.1%) consumed less or equal to half a glass of beverage per meal. There was a relationship between students' BMI status and the amount of soft drink consumed per meal.

The students' weekly physical activity is reported in Table 3. The mean score of physical activity among students was 2.02 (±0.62). At 95% confidence level, the mean physical activity was different in various BMI status (P = 0.04). Post hoc test showed that there was a significant difference between the mean physical activity in normal weight and obese students and physical activity was higher in students with normal weight than obese (P = 0.03).

Discussion

According to the results, the prevalence of overweight and obesity among primary school students was 23.9% and 14.5%, respectively, which was slightly higher than previous studies in Yazd (Gholami et al., 2019) and Farsan (Mohammadi and Mozaffari-Khosravi, 2019).

 

Table 1. Characteristics of the students aged 10-12 years based on BMI status (n=586).

 

Variables

Underweight

N (%)

Normal weight

N (%)

Overweight

N (%)

Obese

N (%)

Total

N (%)

P-valuea

Grade

0.05

 

4th

25 (61.0)

178 (55.6)

74 (52.9)

42 (49.4)

319 (54.4)

5th

15 (36.6)

90 (28.1)

45 (32.1)

21 (24.7)

171 (29.2)

6th

1 (2.4)

52 (16.2)

21 (15.0)

22 (25.9)

96 (16.4)

Gender

Female

24 (58.5)

184 (57.5)

68 (48.6)

22 (25.9)

298 (50.9)

Male

17 (41.5)

136 (42.5)

72 (51.4)

63 (74.1)

288 (49.1)

School type

State

31 (75.6)

217 (67.8)

84 (60.0)

37 (43.5)

369 (63.0)

Private

10 (24.4)

103 (32.2)

56 (40.0)

48 (56.5)

217 (37.0)

Father education

Elementary school

1 (2.4)

19 (5.9)

8 (5.7)

2 (2.4)

30 (5.1)

0.69

 

Middle or high school

18 (43.9)

135 (42.2)

54 (22.6)

32 (13.4)

239 (40.8)

College or above

22 (53.7)

166 (51.9)

78 (55.7)

51 (60.0)

317 (54.1)

Mother education

Elementary school

4 (9.8)

18 (5.6)

9 (6.4)

1 (1.2)

32 (5.5)

0.03

 

Middle or high school

19 (46.3)

119 (37.2)

59 (42.1)

23 (27.1)

220 (37.5)

College or above

18 (43.9)

183 (57.2)

72 (51.4)

61 (71.8)

334 (57.0)

a: Chi-squire test

 

Table 2. Fast food and sweetened beverage consumption according to BMI status (n=586).

 

Variables

Underweight

N (%)

Normal

Weight N (%)

Overweight

N (%)

Obese

N (%)

Total

P-value *

Fast food consumption

Never

3 (7.3)

27 (8.4)

10 (7.1)

4 (4.7)

44 (7.5)

0.41

 

 

 

< 1 time per month

24 (58.5)

192 (60.0)

77 (55.0)

57 (67.1)

350 (59.7)

1-2 times per month

10 (24.4)

87 (27.2)

39 (27.9)

20 (23.5)

156 (26.6)

1≥ time per week

4 (9.8)

14 (4.4)

14 (10.0)

4 (4.7)

36 (6.1)

Carbonated soft drinks

Never or rarely

22 (53.7)

150 (46.9)

56 (40.0)

34 (40.0)

262 (44.7)

0.48

 

 

 

1-2 times per month

9 (22.0)

99 (30.9)

43 (30.7)

29 (34.1)

180 (30.7)

3-4 times per month

9 (22.0)

45 (14.1)

26 (18.6)

14 (16.5)

94 (16.0)

2≥ times per week

1 (2.4)

26 (8.1)

15 (10.7)

8 (9.4)

50 (8.5)

Amount(Every time)

≤½ glass

16 (52.2)

169 (60.6)

59 (46.1)

23 (28.8)

267 (51.1)

 

1 glass

12 (41.4)

90 (32.3)

56 (43.8)

47 (58.8)

205 (39.7)

≥2 glass

1 (3.4)

20 (7.2)

13 (10.2)

10 (12.5)

44 (8.5)

a: Chi-squire test

 

 

 

This increase can be attributed to the emergence of COVID-19 and quarantine days that all changed children's lifestyles and eventually led to overweight and obesity among them. It has been hypothesized that childhood obesity may increase proportionate to the number of months that schools are closed (Cuschieri and Grech, 2020) . Furthermore, several studies have suggested that shift in institutional context from schools to homes is an effective factor in increasing students' weight through reduced physical activity and increased inactive lifestyles beside social isolation (Cuschieri and Grech, 2020, Nogueira-de-Almeida et al., 2020, Workman, 2020).


Table 3. physical activity and weight status.

 

Weight status

Mean

SD

P-valuea

Underweight

2.11

0.68

0.04

Normal weight

2.06

0.64

Overweight

1.99

0.55

Obese

1.86

0.60

a: One-way ANOVA

 

The percentage of obesity and overweight among boys was significantly higher than girls. This finding was consistent with other studies in Iran and other countries showing that overweight, obesity, and abdominal obesity are more common in boys than in girls (Mohammadi and Mozaffari-Khosravi, 2019, Wang et al., 2018b, Zhao et al., 2017).

 The type of school was another variable that affected the obesity status of students, so that obesity was higher among students in private schools than in state schools. Similarly a study in Ethiopia indicated that private school students were 2.7 times more likely to be obese than state school students (Alemu et al., 2014). Results of a study in eastern Ethiopia and a systematic review in the Middle East and North Africa (MENA) showed that, private school students who belonged to families with high socioeconomic status were significantly associated with a higher risk of obesity and overweight (Desalew et al., 2017, Farrag et al., 2017). Given that students who attend at private schools are more likely to have better economic status than state schools, it could be concluded that better economic status is associated with more obesity among students.

It is necessary to mention that in developed countries the trend is different, and in fact having a low socio-economic status is one of the strongest risk factors for obesity. In other words, in many developed countries, child obesity has stabilized or even decreased in the higher socio-economic groups, while in the lower socioeconomic groups, there has generally been a steady increase (Gil and Takourabt, 2017, Hemmingsson, 2018). In developing countries like Iran, unlike in developed countries, people with higher economic status are still at greater risk of obesity and overweight.

 In the present study, a significant relationship was revealed between mothers' education level and children' BMI. More than half of obese students’ mothers had university-education. Previous studies, usually conducted in European countries, have considered mothers' education level as a protective factor against obesity (Madden, 2017, Ruiz et al., 2016). In Lissner's study, the odds ratio of obesity among Swedish and Portuguese students decreased as their mothers' education increased, but the opposite was true among Bulgarian students. Parents with lower education had a lower chance of their children becoming obese (Lissner et al., 2016). This might be explained by the difference in community lifestyles. Since obesity is a very complex condition, higher education is not a direct risk factor for obesity, but it is possible that mothers with higher levels of education, due to their busy schedules, follow a different lifestyle, giving their children more access to high-calorie foods and a variety of sedentary computer games which are important risk factors for childhood obesity. As a result, in a developing country like Iran, the higher level of education of mothers could be indirectly related to childhood obesity and overweight.

 According to the results of this study, there was no association between fast food consumption
and student obesity. In a study carried out by Mohammadbeigi, no significant relationship
was found between fast food consumption and general obesity of students based on BMI
(Mohammadbeigi et al., 2018). In contrast a one-year cohort study showed that the risk of weight gain increased linearly with each additional time of fast food consumption in an average week during the study (Emond et al., 2020). Lack of association in the present study could be due to the low rate of fast food consumption among the participants. Overall, about half of the students reported that consumed fast food less than once a month, which had no effect on their BMI status.

 Regarding the consumption of carbonated sweet drinks, there was a significant relationship between the consumption of these drinks with obesity and overweight among the students. Fifty-eight percent of obese students consumed at least one glass of soft drink per serving, while more than half of normal-weight students consumed less than half a glass of soft drink per serving. There is a lot of evidence that sweetened drinks have negative effects on children's health, especially in relation to obesity and overweight (Bleich and Vercammen, 2018, Yoshida and Simoes, 2018). In a study, Katzmarzyk suggested that there is a significant linear relationship between BMI and soft drink consumption in boys aged 11-9 years (Katzmarzyk et al., 2016).

 In Wang's study, the obesity odds ratio in students who drank equal or more than 200 mg carbonated beverage a day were 1.8 times higher than those who drank less than 200 mg a day (Wang et al., 2018a). This result conveys the importance of the fact that in addition to the frequency of carbonated sweet drinks consumption, the amount consumed per meal is also a significant factor in weight gain and obesity in children.

Based on ANOVA test, there was an association between students' physical activity and their BMI status. Physical activity of normal-weight students was significantly higher than obese students. The effect of physical activity on weight control has been proven several times in previous studies. In Huang's study the risk of obesity among children who spent less than 20 minutes (OR: 0.473) or more than 20 minutes (OR: 0.505) on weekends involving moderate to vigorous physical activity was significantly less than others (Huang and Wong, 2019, Mirsolimany et al., 2015). In a similar study, Mocanu found that sedentary behavior increased the risk of obesity in children more than triples (Mocanu, 2013). Since this study was carried out during the COVID-19 pandemic, when students were not at school for almost an educational year, they were deprived of some activities that they did in physical education classes or break time. In addition, parents rarely took their children to parks, and these students lost many opportunities to be physically active, which could be a reason for reducing their level of physical activity and at the same time gaining weight during the COVID-19 pandemic.

One of the strengths of the present study was the multi-stage sampling method, which made the participants a real sample of the student population in Yazd. Furthermore, completing the questionnaires online also gave participants the opportunity to answer questions at an appropriate time without time constraints, which increased the accuracy of answering. Based on the sample size, several teachers were hired to measure the students' height and weight. Although they were trained in the same way, in some cases there may be a measurement error. It is suggested that in the future, with the help of sports medicine and sports physiology experts, online trainings on improving students' physical activity in small environments such as home be designed and their effectiveness on student weight control be investigated.

Conclusion

According to the present study, it seems that during the COVID-19 outbreak students’ weight gain has been more affected by reducing physical activity than consuming high-calorie foods. The food choices have under control of parents, therefore, consumption of fast food and carbonated soft drinks is not yet common among them. In addition, due to the closure of schools, gyms and recreation centers in the community during the last year, children’s physical activity has become too limited, so there is a need to create new infrastructure and opportunities for improving physical activity among students.

Acknowledgement

Researchers wish to thank Diabetes Research Center of Yazd and all teachers, students and their parents who helped in conducting this project.

Authors' contributions

Mehrabbeik A, Namiranian N, Mozaffari-Khosravi H, and Aghaee SM designed the research; Mehrabbeik A and Namiranian N conducted the research; Askari M, and Namiranian N analyzed the data; and Mehrabbeik A wrote the paper. Namiranian N had primary responsibility for final content. All the authors read and approved the final manuscript.

Conflict of interest

The authors declare that there is no conflict of interest.

 

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Type of article: orginal article | Subject: public specific
Received: 2021/06/24 | Published: 2022/01/22 | ePublished: 2022/01/22

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