Abstract
Background:
Childhood obesity is a significant global public health problem. Worldwide data showed an increasing trend over the years. We aimed to explore the prevalence of obesity, and its association with vitamin D status.
Methods:
This cross-sectional study was conducted during the period from 2016 to 2017. The study included 3613 school children aged 6-19 years in the western, central, and eastern regions in Saudi Arabia. Anthropometric data including age, sex and body mass index (BMI) was collected and the serum 25OH- vitamin D (25OHD) was measured. Age-sex standardized BMI Z-scores using the 2007 World Health Organization growth standards were applied.
Results:
Data from 3613 school-aged children (females = 51.8%), with equal percentage of participants from each region were analyzed. Prevalence of obesity and overweight was estimated at 7.1% and 14.4% respectively. An increasing trend was detected with age (p: 0.006). Obesity started to increase at the age of 10 years and continued to increase until 19 years. Most of the obese children (64.2%) had deficient vitamin D levels, compared to 33.7% of them with suboptimal levels and only 2.0% with optimal levels (p: <0.001).
Conclusions:
This large cohort study revealed a high prevalence (21.5%) of obesity and overweight in school children aged between 6-19 years with increasing trend with age. Children with high BMI showed extremely high prevalence of vitamin D deficiency and insufficiency. These findings are alarming and point to the need for effective national interventions that include improving and encouraging access to physical activity and exposure to sunlight, educational activities for students, parents, and schoolteachers and possible enrichment of staple food with vitamin D. (www.actabiomedica.it)
Keywords: Obesity, Overweight, School-Aged Children, Vitamin D
Introduction
Childhood obesity represents a significant public health concern due to its rising trend (1-3). The prevalence of obesity among children worldwide has doubled in 70 countries and continue to increase since 1980 reaching 107.7 million in 2015 (4-6). Almost one-quarter (23%) of both male and female children, in developed countries, are overweight or obese (4). However, in developing countries, overweight and obesity, among children, has been estimated to be 13% (7,8).
The high rates of increased body weight and obesity observed worldwide, and vitamin D insufficiency are closely interrelated problems and both have deleterious health effects in all age groups.
The prevalence of vitamin D insufficiency (VDI) among children and adolescents with obesity is extremely high in many countries: 96.0% in Germany, 78.4% in the United States, and up to 92.0% in the Russian Federation (9-13). The prevalence of vitamin D insufficiency in these countries are high when the cut-off level is set at 75 nmol/L (30 ng/mL), as recommended by the United States National Endocrine Society in 2011 (14).
Obesity among children is more likely to continue during adulthood leading to long term associated disease burden (15-19), including: higher risk for type 2 diabetes mellitus, dyslipidemia, cardiovascular disorders, osteoarthritis, and psychological disorders (20-22). Several modifiable risk factors contribute to overweight and obesity among children. The most significant among these factors are dietary intake and physical activity (18,19).
A systematic review of 18 articles from the Saudi population (6-21 years old), between 1998 and 2010, including 88.265 children and adolescents, showed an average prevalence of overweight and obesity of 26.7% (range: 16-42.3%) (23). These studies used different references for measuring overweight and obesity (i.e., World Health Organization 1995, 2005 and 2007, International Obesity Task Force and Center for Disease Control 1995 and 2000) (23). Furthermore, inconsistency of the type of reference and the applied cut-off values adds difficulty to compare results between studies (23). Current national data, in Saudi Arabia, with a reasonably large sample size is still lacking.
The main objective of this study was to determine the prevalence of overweight and obesity among school-aged children, in different regions in Saudi Arabia, and to measure their vitamin D status.
Methods
Study design
This cross-sectional study included 3.613 school children, aged 6-19 years, in Saudi Arabia. The study was conducted during the period from 2015 to 2016.
Study sampling
We included apparently healthy school children and adolescents living in three geographical regions of Saudi Arabia (Central, Western and Eastern regions). The study subjects were recruited from secondary, intermediate, and primary schools in major cities in these three regions of Saudi Arabia. Blood samples for vitamin D levels were collected from different cities throughout the academic year periods. Vitamin D serum samples from different sites were sent to the central lab at Jeddah city (King Abdulaziz Medical City), and analyzed by chemiluminescence immunoassay within two weeks of sample collection.
Study variables
After getting permission from the school authority, anthropometric data including age, sex, weight, and height were collected from all the schools in the study regions. Children were weighed using a standard beam balance. Weight was recorded in kg and height in cm. Height was measured using a stadiometer (Harpenden Holtain, UK). The body mass index (BMI) was calculated (weight in kilograms) divided by the square of height (in meters).
Other studied variables (exercise and intake of milk) were obtained through a self-reported simple questionnaire. Enclosed with the questionnaire was a cover letter explaining the objectives of the study and the investigators’ contacts for inquires.
Age and sex standardized BMI Z-scores using the 2007 World Health Organization (WHO) growth standards were applied (24). This reference has been applied by several national studies and provided a better standard for comparison within and between countries (25-28). BMI was calculated as weight in kilograms divided by the square of height in meters. Z-scores were calculated for each individual using the formula, z= (calculated BMI - WHO median BMI reference of the same age group and sex) / standard deviation.
BMI Z scores were used to categorize children as thin (<-2SD), normal (-2SD to +1SD), overweight (>+1SD to +2SD) or obese (>+2SD) among boys and girls (27,28).
For the interpretation of vitamin D levels the following cu-off were used: ≤25 nmol/L for vitamin D deficiency (VDD), >25-50 nmol/L for VDI, and >50 nmol/L for vitamin D sufficiency (29,30).
Ethical Approval
The research has complied with all the relevant national regulations, institutional policies, was in accordance with the Helsinki Declaration, and was approved by the IRB office (reference # RC08/121/J) at King Abdullah International Medical Research Center (KAIMRC). Consent of participants was obtained at the time of the study that covered ethical issues related to the questionnaire and the study.
Statistical Analysis
Descriptive statistics were used to describe categorical variables as frequency and percentages, and continuous variables as mean, standard deviation, or median. A Chi-square test was used to determine the distribution of independent categorical variables (gender, region, and school) according to BMI categories. The 95% Confidence interval for the BMI categories proportions was estimated. Multivariate regression analysis was performed to determine factors associated with overweight or obesity. An odds ratio with a 95% confidence interval (CI) was used. Level of significance was determined at p-value <0.05. All analyses were performed using IBM SPSS version 25.
Results
Data from 3.613 school-aged children (51.8% were females) in the western, central, and eastern regions of Saudi Arabia were analyzed. An equal percentage of the participating children was taken from each of the 3 regions. Most of the children were in high school (41.8%), followed by the intermediate and primary schools.
The overall mean (SD) age of the studied children was 14.70 (2.56) years (Table 1).
Table 1.
Demographic characteristics and distribution of overweight and obesity
| Characteristics |
Total N (%) |
Normal weight* n=2.836 (78.5%) 95% CI** (77.1%-79.8%) |
Overweight n=522 (14.4%) 95% CI (13.3%-15.6%) |
Obese n=255 (7.1%) 95% CI (6.2%-7.9%) |
P value |
| Gender Male Female Region Western Eastern Central School age Primary (6-12 Ys) Intermediate (13-15 Ys) High (16-18 Ys) Type of housing Rented Owned |
1746 (48.3) 1867 (51.8) 1245 (34.5) 1063 (29.4) 1305 (36.1 751 (20.8) 1352 (37.4) 1510 (41.8) 1729 (48.3) 1848 (51.7) |
1377 (78.9) 1459 (78.1) 970 (77.9) 859 (80.0) 1007 (77.2) 618 (82.3) 1064 (78.7) 1154 (76.4) 1349 (78.0) 1458 (78.9) |
246 (14.1) 276 (14.8) 192 (15.4) 140 (13.2) 190 (14.6) 98 (13.0) 197 (14.6) 227 (15.0) 259 (15.0) 256 (13.9) |
123 (7.0) 132 (7.1) 83 (6.7) 64 (6.0) 108 (8.3) 35 (4.7%) 91 (6.7) 129 (8.5) 121 (7.0) 134 (7.3) |
0.84 0.10 0.006 0.62 |
Legend:*Normal refer to normal BMI (-2SD to +1SD); **95% Confidence Interval
Regarding the prevalence of overweight and obesity, 7.1% of the children were obese (95% CI: 6.2% - 7.9%), 14.4% were overweight (95% CI: 13.3- 15.6%) and the majority (78.5%) were normal weight (95% CI: 77.1-79.8%). None of the students was found to be underweight. Overweight and obesity showed rising trend with increasing age of the students (p=0.006) (Table 1 and Figure 1).
Figure 1.

Body Mass Index Z score distributed by age of students
The prevalence of obesity began to increase at the age of 10 years and continued to rise over the years, until the age of 19 years.
Table 2 shows the distribution of the level of serum vitamin D according to different BMI categories. Most children had either deficient or suboptimal levels of serum vitamin D (95.6%). 64.2% of the obese children had VDD and 33.7% had VDI. Only 2.0% had optimal vitamin D level.
Table 2.
Association between obesity and serum vitamin D, exercise and drinking milk
| Vitamin D level |
Normal weight* n=2.836 (78.5%) 95% CI** (77.1%-79.8%) |
Overweight n=522 (14.4%) 95% CI (13.3%-15.6%) |
Obese n=255 (7.1%) 95% CI (6.2%- 7.9%) |
P value |
| Vitamin D level, Deficient (n=1687, 49.0%) Suboptimal (n=1602, 46.6%) Optimal (n=151, 4.4%) Performing exercise, Yes (n=1400, 50.2%) No (n=1388, 49.8%) Drinking milk, Two or less days/week (n=1706, 61.7%) Three days or more (n=1061, 38.3%) |
1279 (75.8) 1300 (81.1) 125 (82.8) 1098 (78.4) 1056 (76.1) 1323 (77.5) 813 (76.6) |
250 (14.8) 219 (13.7) 21 (13.9) 200 (14.3) 220 (15.9) 260 (15.2) 159 (15.0) |
158 (9.4) 83 (5.2) 5 (3.3) 102 (7.3) 112 (8.1) 123 (7.2) 89 (8.4) |
0.001 0.34 0.53 |
Legend:*Normal refer to normal BMI (-2SD to +1SD); **95% Confidence Interval
The association between different variables and overweight or obesity has been documented using the multivariate analysis. Serum level of vitamin D level was significantly associated with obesity (OR=2.96, 95% CI: 1.18- 7.43; p: 0.02). Overweight and obesity were not significantly associated with gender, region, school age, type of housing, exercise or drinking milk (Tables 2 and 3).
Table 3.
Multivariate regression analysis of factors associated with overweight and obesity
| Characteristics | Overweight or Obesity vs. Normal | Obesity vs. Normal or overweight | ||||
| OR | 95%CI | P | OR | 95%CI | P | |
|
Gender Male (n=1746, 48.3%) Female (n=1867, 51.75) Region Western (n=1245, 34.5%) Eastern (n=1063, 29.4%) Central (n=1305, 36.1%) School age Primary (6-12 Ys) (n=751, 20.8%) Intermediate (13-15 Ys) (1352, 37.4%) High (16-18 Ys) (1510, 41.8%) Type of housing Rented (n=1729, 48.3%) Owned (n=1848, 51.7%) Performing exercise Yes (n=1400, 50.2%) No (n= 1388, 49.8%) Drinking milk Two or less days/week (n=1706, 61.7%) Three days or more (n=1061, 38.3%) Serum vitamin D Deficient (n=1687, 49.0%) Suboptimal (n=1602, 46.6%) Optimal (n=151, 4.4%) |
1 0.86 0.89 0.95 1 1 1.14 1.14 1.12 1 1 0.91 0.98 1 1.64 1.25 1 |
0.71, 1.05 0.73, 1.09 0.69, 1.38 0.82, 1.59 0.82, 1.60 0.93, 1.35 0.75, 1.12 0.81, 1.19 0.99, 2.69 0.76, 2.07 |
0.14 0.27 0.75 0.44 0.43 0.24 0.23 0.83 0.053 0.38 |
1 0.74 0.76 0.94 1 1 1.22 1.45 1.01 1 1 0.98 0.94 1 2.96 1.35 1 |
0.55, 1.0 0.56,1.04 0.60,1.49 0.68,2.20 0.81,2.58 0.75,1.37 0.72,1.35 0.70,1.26 1.18,7.43 0.53,3.42 |
0.054 0.08 0.80 0.50 0.21 0.94 0.92 0.68 0.02 0.53 |
Legend: OR= Odds ratio, CI= Confidence Interval
Discussion
The overall prevalence of overweight or obesity in a large cohort of Saudi school children is 21.5%. A similar prevalence of overweight and obesity has been reported in the United Arab Emirates (UAE), among the same age group (5-17 years old) (31). The current prevalence was higher than that reported in other countries including children aged 8-11 years old in Ghana (16.4%; 9.2% were overweight and 7.2% were obese) (32), and children 12-16 years old in India (17%; 10.8% were overweight and 6.2% were obese) (33).
However, other countries reported higher prevalence compared to our study. A study from South Africa reported a prevalence of overweight and obesity of 22.9% among students (7-18 years) (34). In Nepal, 25.7% of primary school children (6-13 years old) were overweight or obese (95% confidence interval: 22.1-29.2) (35).
Previous studies in Saudi Arabia showed variable prevalence of obesity in children and adolescents based on the age and geographic region selected as well as the measurement reference (23). A study on 7931 students (6-16 years old) living in Riyadh, in the central region of Saudi Arabia, performed in 2015 showed a lower total prevalence of 13.4% overweight and obesity compared to our study (36). However, the authors reported similar prevalence of overweight and obesity among adolescent age group (>11 years) (20.2%) compared to 15.7% among younger age children (36). using the 2007 WHO growth standard reference.
Another study by Al-Hussaini et al. (37) in the same age groups showed a prevalence of obesity and overweight equal to 23.5% in high school students, 21.3% in intermediate school and 17.7% in primary school children).
With this high prevalence and rising trend of obesity and overweight, our study and others pointed out to the importance of providing more attention for the prevention of obesity and overweight in students at the intermediate and high school age. In addition, further studies should focus on a quantitative measurement of the risk factors and assessing the impact on health consequences.
In contrast to our study, previous reports identified that boys were almost twice as obese as girls (32,35). While, other studies showed similar proportions of increased BMI among boys and girls without significant differences (33), other reports documented a significantly higher prevalence of overweight among girls compared to boys (23,37).
An increased socioeconomic status of the children and a sedentary life significantly contributed to a higher prevalence of overweight or obesity (32,38). The association of higher overweight or obesity with an increased socioeconomic status in developing countries has been attributed to the consumption of high energy foods, snacks, and drinks, and the use of motorized transportation to and from schools (32,33).
In developed countries, increased BMI was similarly associated with reduced physical activity (39), low consumption of healthy foods (40), and low socioeconomic groups (41,42).
Hu et al. (43) found that combined lifestyle risk factors, low physical activity, and non- healthy diet contributed to more than one-third of obesity (35%) among children 9-12 years old, and 28% was attributed to decreased physical activity (43). These findings highlights the burden associated with increased sedentary lifestyle among school children related to increased videogame playing, computer use, and television viewing (43).
Drinking milk was not associated with overweight or obesity in the current study, however, other studies reported a significant association among high school students (43). The authors attributed such association to the high levels of saturated fat especially in whole milk (43). Accordingly, the American Academy of Pediatrics recommended that children aged 2 years or older should consume skim or low-fat milk (44).
In our study, obese children had significantly lower values of 25(OH) D than those of the normal weight participants (p: < .001). Many clinical and epidemiological studies reported that obese patients have lower serum concentrations of 25(OH) D (45,46). The link between VDD and obesity can be explained by sequestration of vitamin D within adipose tissue (47), in addition to lack of sun exposure due to sedentary lifestyle and to very hot weather not encouraging outdoor activities (48).
There is evidence that weight loss is associated with increased serum 25 (OH) D concentration in overweight or obese people. McGill et al. (49) conducted a weight-loss study on 243 adults and found a decrease of 0.75 nmol/L in serum 25(OH) D per 1 kg/m2 increase in BMI. Based on our data and others, we suggest doing screening of obese children for vitamin D concentration for early detection and management. However, although a relationship between obesity and vitamin D deficiency is clearly demonstrated through numerous studies, there is still a need for a controlled study to assess the proper amount of vitamin D required by obese children and adolescents and whether supplementation with vitamin D has any beneficial therapeutic effect in the management of obesity.
The main strength of this study is the large sample size; hence, the findings can be generalized to represent the status of overweight and obesity among school children in Saudi Arabia. The limitations are related to the self-reporting of data as well as the recall bias, and the lack of detailed information on physical activity and diet. However, previous studies that collected information on physical activity and diet suffered from subjective measurements and potential inaccuracy. Therefore, future studies should focus on quantitative assessment of food consumption and objectively measure physical activity among students at school and home. Longitudinal cohort studies would help to establish a causal association between independent risk factors (including socioeconomic status and activity-related behaviors) and occurrence of overweight or obesity among school-aged children.
Conclusions and Recommendations
The current study reported strong evidence of increased burden of overweight and obesity in a large representative sample of school-aged children in Saudi Arabia. One in every five school children aged between 6-19 years old was overweight or obese. The prevalence of overweight and obesity increased with the age of the students. The very high prevalence of VDD and VDI among our obese children and adolescents emphasize the critical need for appropriate interventions to address both problems of obesity and poor vitamin D status in this age group. There is a bad need for a national comprehensive obesity prevention programs among school-aged children, focusing on effective educational activities targeting families, school, teachers, and children. Encouraging physical activity and providing facilities with adequate sunlight exposure in schools are considered necessary. The availability of healthy foods at schools are required to reduce both obesity and VDD. Consequentially, this may then lead to lowering the negative burden on health as a whole. Education of schoolchildren will impact their families’ health where educational messages can be transferred through the children to their families.
Conflict of Interest
Each author declares that he or she has no commercial associations (e.g. consultancies, stock ownership, equity interest, patent/licensing arrangement etc.) that might pose a conflict of interest in connection with the submitted article.
References
- 1.de Onis M, Blössner M, Borghi E. Prevalence and trends of stunting among pre-school children, 1990-2020. Public Health Nutr. 2012;15:142–148. doi: 10.1017/S1368980011001315. [DOI] [PubMed] [Google Scholar]
- 2.NCD Risk Factor Collaboration (NCD-RisC) – Africa Working Group. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol. 2017;46:1421–1432. doi: 10.1093/ije/dyx078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128•9 million children, adolescents, and adults. Lancet. 2017;390:2627–2642. doi: 10.1016/S0140-6736(17)32129-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wang Y, Lobstein T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006;1:11–25. doi: 10.1080/17477160600586747. [DOI] [PubMed] [Google Scholar]
- 5.Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–781. doi: 10.1016/S0140-6736(14)60460-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kann L, McManus T, Harris WA, et al. Youth Risk Behavior Surveillance - United States, 2015. MMWR Surveill Summ. 2016;65:1–174. doi: 10.15585/mmwr.ss6506a1. [DOI] [PubMed] [Google Scholar]
- 7.Aryeetey R, Lartey A, Marquis GS, Nti H, Colecraft E, Brown P. Prevalence and predictors of overweight and obesity among school-aged children in urban Ghana. BMC Obes. 2017;4:38. doi: 10.1186/s40608-017-0174-0. Published 2017 Dec 4. doi:10.1186/s40608-017-0174-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sarokhani D, Sarokhani M, Dehkordi A, Gheshlagh R, Fakhri M. Prevalence of Obesity and Overweight in Iranian Students: A Systematic Review and Meta-Analysis. J Pediatr Endocrinol Metab. 2020;33:453–468. doi: 10.1515/jpem-2019-0474. [DOI] [PubMed] [Google Scholar]
- 9.Roth CL, Elfers C, Kratz M, Hoofnagle AN. Vitamin d deficiency in obese children and its relationship to insulin resistance and adipokines. J Obes. 2011;2011:495101. doi: 10.1155/2011/495101. doi:10.1155/2011/495101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ashraf A, Alvarez J, Saenz K, Gower B, McCormick K, Franklin F. Threshold for effects of vitamin D deficiency on glucose metabolism in obese female African-American adolescents. J Clin Endocrinol Metab. 2009;94:3200–3206. doi: 10.1210/jc.2009-0445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Motlaghzadeh Y, Sayarifard F, Allahverdi B, Rabbani A, Setoodeh A, Sayarifard A, et al. Assessment of vitamin D status and response to vitamin D3 in obese and non-obese Iranian children. J Trop Pediatr. 2016;62:269–275. doi: 10.1093/tropej/fmv091. [DOI] [PubMed] [Google Scholar]
- 12.Khor GL, Chee WS, Shariff ZM, et al. High prevalence of vitamin D insufficiency and its association with BMI-for-age among primary school children in Kuala Lumpur, Malaysia. BMC Public Health. 2011;11:95. doi: 10.1186/1471-2458-11-95. Published 2011 Feb 11. doi:10.1186/1471-2458-11-95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.He Y, Cai M, Huang X. Prevalence of vitamin D insufficiency/deficiency among overweight and obese preschool children in Yuelu District of Changsha. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2017;42:565–569. doi: 10.11817/j.issn.1672-7347.2017.05.014. [DOI] [PubMed] [Google Scholar]
- 14.Holick MF, Binkley NC, Bischoff-Ferrari HA, et al. Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2011;96:1911–1930. doi: 10.1210/jc.2011-0385. [DOI] [PubMed] [Google Scholar]
- 15.Misra A, Khurana L. Obesity and the metabolic syndrome in developing countries. J Clin Endocrinol Metab. 2008;93(Suppl 1):S9–S30. doi: 10.1210/jc.2008-1595. [DOI] [PubMed] [Google Scholar]
- 16.Kelishadi R. Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev. 2007;29:62–76. doi: 10.1093/epirev/mxm003. [DOI] [PubMed] [Google Scholar]
- 17.Atienza M. Trends of childhood obesity in ASEAN. Southeast Asian. J. Trop. Med. Public Health. 2014;45(Suppl 1):149–152. [PubMed] [Google Scholar]
- 18.GBD 2015 Obesity Collaborators. Afshin A, Forouzanfar MH, et al. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med. 2017;377:13–27. doi: 10.1056/NEJMoa1614362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rankin J, Matthews L, Cobley S, et al. Psychological Consequences of Childhood Obesity: Psychiatric Comorbidity and Prevention. Adolesc Health Med Ther. 2016;7:125–146. doi: 10.2147/AHMT.S101631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Park MH, Falconer C, Viner RM, Kinra S. The impact of childhood obesity on morbidity and mortality in adulthood: a systematic review. Obes Rev. 2012;13:985–1000. doi: 10.1111/j.1467-789X.2012.01015.x. [DOI] [PubMed] [Google Scholar]
- 21.Han JC, Lawlor DA, Kimm SY. Childhood obesity. Lancet. 2010;375:1737–1748. doi: 10.1016/S0140-6736(10)60171-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sahoo K, Sahoo B, Choudhury AK, Sofi NY, Kumar R, Bhadoria AS. Childhood obesity: causes and consequences. J Family Med Prim Care. 2015;4:187–192. doi: 10.4103/2249-4863.154628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Al Shehri A, Al Fattani A, Al Alwan I. Obesity among Saudi children. Saudi J Obesity. 2013;1:3–9. [Google Scholar]
- 24. http://www.who.int/dietphysicalactivity/childhood_consequences. WHO | Why does childhood overweight and obesity matter? [Google Scholar]
- 25.Davison KK, Birch LL. Childhood overweight: A contextual model and recommendations for future research. Obes Rev. 2001;2:159–171. doi: 10.1046/j.1467-789x.2001.00036.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. OMS. WHO reference 2007. Http://Www.Who.Int/ Growthref/Who2007 _Bmi_for_ Age/En. [Google Scholar]
- 27. WHO Multicentre Growth Reference Study Group. WHO child growth standards : length/height-for-age, weight-for-age, weight-for-length, weight-forheight and body mass index-for-age : methods and development. WHO Child Growth Standards.2006. doi:10.4067/S0370-41062009000400012. [Google Scholar]
- 28.de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–667. doi: 10.2471/BLT.07.043497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bouillon R, van Schoor NM, Gielen E, et al. Optimal vitamin D status: a critical analysis on the basis of evidence-based medicine. J Clin Endocrinol Metab. 2013;98:1283–1304. doi: 10.1210/jc.2013-1195. [DOI] [PubMed] [Google Scholar]
- 30.Rosen CJ, Abrams SA, Aloia JF, et al. IOM committee members respond to Endocrine Society vitamin D guideline. J Clin Endocrinol Metab. 2012;97:1146–1152. doi: 10.1210/jc.2011-2218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Malik M, Bakir A. Prevalence of overweight and obesity among children in the United Arab Emirates. Obes Rev. 2007;8:15–20. doi: 10.1111/j.1467-789X.2006.00290.x. [DOI] [PubMed] [Google Scholar]
- 32.Adom T, Kengne AP, de Villiers A, Puoane T. Association between school-level attributes and weight status of Ghanaian primary school children. BMC Public Health. 2019;19(1):577. doi: 10.1186/s12889-019-6937-4. Published 2019 May 15. doi:10.1186/s12889-019-6937–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gautam S, Jeong HS. Childhood Obesity and Its Associated Factors among School Children in Udupi, Karnataka, India. J Lifestyle Med. 2019;9:27–35. doi: 10.15280/jlm.2019.9.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Negash S, Agyemang C, Matsha TE, Peer N, Erasmus RT, Kengne AP. Differential prevalence and associations of overweight and obesity by gender and population group among school learners in South Africa: a cross-sectional study. BMC Obes. 2017;4:29. doi: 10.1186/s40608-017-0165-1. Published 2017 Jul 17. doi:10.1186/s40608-017-0165-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Karki A, Shrestha A, Subedi N. Prevalence and associated factors of childhood overweight/obesity among primary school children in urban Nepal. BMC Public Health. 2019;19(1):1055. doi: 10.1186/s12889-019-7406-9. Published 2019 Aug 6. doi:10.1186/s12889-019-7406-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.El Mouzan MI, Foster PJ, Al Herbish AS, et al. Prevalence of overweight and obesity in Saudi children and adolescents. Ann Saudi Med. 2010;30:203–208. doi: 10.4103/0256-4947.62833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Al-Hussaini A, Bashir MS, Khormi M, et al. Overweight and obesity among Saudi children and adolescents: Where do we stand today? Saudi J Gastroenterol. 2019;25:229–235. doi: 10.4103/sjg.SJG_617_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Fruhstorfer BH, Mousoulis C, Uthman OA, Robertson W. Socio-economic status and overweight or obesity among school-age children in sub-Saharan Africa - a systematic review. Clin Obes. 2016;6:19–32. doi: 10.1111/cob.12130. [DOI] [PubMed] [Google Scholar]
- 39.Drenowatz C, Eisenmann JC, Pfeiffer KA, et al. Influence of socio-economic status on habitual physical activity and sedentary behavior in 8- to 11-year old children. BMC Public Health. 2010;10:214. doi: 10.1186/1471-2458-10-214. Published 2010 Apr 27. doi:10.1186/1471-2458-10-214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Drewnowski A. Obesity, diets, and social inequalities. Nutr Rev. 2009;67(Suppl 1):S36–S39. doi: 10.1111/j.1753-4887.2009.00157.x. [DOI] [PubMed] [Google Scholar]
- 41.Rogers R, Eagle T, Sheetz A, et al. The Relationship between Childhood Obesity, Low Socioeconomic Status, and Race/Ethnicity: Lessons from Massachusetts. Child Obes. 2015;11:691–695. doi: 10.1089/chi.2015.0029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.de Silva-Sanigorski A, Elea D, Bell C, et al. Obesity prevention in the family day care setting: impact of the Romp & Chomp intervention on opportunities for children’s physical activity and healthy eating. Child Care Health Dev. 2011;37:385–393. doi: 10.1111/j.1365-2214.2010.01205.x. [DOI] [PubMed] [Google Scholar]
- 43.Hu EY, Ramachandran S, Bhattacharya K, Nunna S. Obesity Among High School Students in the United States: Risk Factors and Their Population Attributable Fraction. Prev Chronic Dis. 2018;15:E137. doi: 10.5888/pcd15.180122. Published 2018 Nov 8. doi:10.5888/pcd15.180122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Gidding SS, Dennison BA, Birch LL, et al. Dietary recommendations for children and adolescents: a guide for practitioners. Pediatrics. 2006;117:544–559. doi: 10.1542/peds.2005-2374. [DOI] [PubMed] [Google Scholar]
- 45.Stokic E, Kupusinac A, Tomic-Naglic D, et al. Obesity and Vitamin D Deficiency. Angiology. 2015;66:237–243. doi: 10.1177/0003319714528569. [DOI] [PubMed] [Google Scholar]
- 46.Al-Agha A, Shaikhoon S, Sultan M, Alsheikh H. Weight and Body Mass Index in Relation to Vitamin D Status in Healthy 4–13 Years Old Children in Saudi Arabia. RRJMHS. 2016;5:20–24. [Google Scholar]
- 47.Wortsman J, Matsuoka LY, Chen TC, Lu Z, Holick MF. Decreased bioavailability of vitamin D in obesity. Am J Clin Nutr. 2000;72:690–693. doi: 10.1093/ajcn/72.3.690. [DOI] [PubMed] [Google Scholar]
- 48.Holick MF. Sunlight and vitamin D for bone health and prevention of autoimmune diseases, cancers, and cardiovascular disease. Am J Clin Nutr. 2004;80(6 suppl):1678S–1688S. doi: 10.1093/ajcn/80.6.1678S. [DOI] [PubMed] [Google Scholar]
- 49.Mcgill AT, Stewart JM, Lithander FE, Strik CM, Poppitt SD. Relationships of low serum vitamin D3 with anthropometry and markers of the metabolic syndrome and diabetes in overweight and obesity. Nutr. J. 2008;7:1–5. doi: 10.1186/1475-2891-7-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
