DETERMINANTS OF OVERWEIGHT AND OBESITY AMONG SCHOOL-GOING ADOLESCENTS IN BAREILLY, UTTAR PRADESH: A CROSS-SECTIONAL STUDY
Main Article Content
Keywords
Adolescent obesity, BMI, overweight, school-going, Bareilly, Uttar Pradesh, physical activity, screen time, family history
Abstract
Background: Adolescent obesity has emerged as a major public health challenge in India. Bareilly, a rapidly urbanizing tier-2 city in Uttar Pradesh, lacks comprehensive data on the prevalence and determinants of adolescent obesity. This study was conducted to address this critical evidence gap.
Objectives: To estimate the prevalence of overweight and obesity among school-going adolescents (14–19 years) in Bareilly district and to identify associated sociodemographic, behavioral, and lifestyle determinants.
Methods: A cross-sectional study was conducted among 600 school-going adolescents selected through two-stage cluster sampling from government and private schools of Bareilly block. Standardized anthropometric measurements (height, weight, waist and hip circumference) were performed and BMI classified using WHO growth reference for age and sex. Sociodemographic, dietary, and lifestyle data were collected using a pre-tested structured questionnaire. Chi-square tests and binary logistic regression were used for statistical analysis.
Results: Among 600 adolescents (54.8% male, 45.0% female; mean age 15.8 years), the overall prevalence of overweight was 8.17% and obesity was 3.00%, with a combined overweight/obesity prevalence of 11.17%. Prevalence was significantly higher among males (13.98%) compared to females (7.78%), and in private school students (14.13%) compared to government school students (8.79%). On multivariable logistic regression, male sex (AOR: 1.99; 95% CI: 1.12–3.63; p=0.02), high screen time (>4 hrs/day: AOR: 3.82; 95% CI: 1.40–11.81; p=0.01), positive family history of obesity (AOR: 3.57; 95% CI: 2.02–6.35; p<0.001), and low physical activity were identified as independent predictors of overweight/obesity. The logistic regression model showed good discriminatory ability (AUC=0.78).
Conclusion: The combined overweight/obesity prevalence of 11.17% among Bareilly adolescents is concerning and consistent with escalating trends in northern India. Male sex, family history of obesity, excessive screen time, and physical inactivity are key modifiable and non-modifiable risk factors. School-based multi-component interventions targeting physical activity promotion, screen time reduction, and dietary counseling are urgently needed.
References
2. World Health Organization. Obesity and overweight: Key facts. Geneva: WHO; 2024.
3. Zhang Y, Li Y, Wang X, et al. Global prevalence of overweight and obesity in children and adolescents: a systematic review and meta-analysis. JAMA Pediatr. 2024;178(8):800-13.
4. UNICEF India. Adolescent development and participation. New Delhi: UNICEF; 2024.
5. Panda SK, Parida J, Badamali J, et al. Prevalence and associated risk factors of overweight and obesity among adolescent population of India: a scoping review. BMC Nutr. 2025;11:88.
6. Sahoo K, Sahoo B, Choudhury AK, Sofi NY, Kumar R. Childhood obesity in India: a two-decade meta-analysis of prevalence and socioeconomic correlates. Clin Epidemiol Glob Health. 2023;23:101387.
7. Jain B, Jain S, Mittal C, et al. Obesity in adolescents: prevalence and association with sociodemographic and lifestyle factors. Indian J Community Health. 2023;35(2):152-8.
8. Census of India 2011. District Census Handbook: Bareilly. New Delhi: Registrar General of India; 2011.
9. Khadilkar VV, Khadilkar AV, Cole TJ, et al. Revised IAP growth charts for height, weight and body mass index for 5-18-year-old Indian children. Indian Pediatr. 2015;52(1):47-55.
10. Loos RJF, Yeo GSH. The genetics of obesity: from discovery to biology. Nat Rev Genet. 2022;23(2):120-33.
11. Schwartz MW, Seeley RJ, Zeltser LM, et al. Obesity pathogenesis: an Endocrine Society scientific statement. Endocr Rev. 2017;38(4):267-96.
12. Waters E, de Silva-Sanigorski A, Hall BJ, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev. 2011;12:CD001871.
13. Hodder RK, O'Brien KM, Lorien S, et al. Interventions to prevent obesity in school-aged children 6-18 years. EClinicalMedicine. 2022;54:101635.
14. World Health Organization. WHO Acceleration Plan to STOP Obesity. Geneva: WHO; 2022.
15. Sharma N, Sanjeevi RR, Balasubramanian K, et al. A systematic review on prevalence of overweight and obesity among school children and adolescents in Indian population. Indian J Endocrinol Metab. 2024;28(2):104-116.
16. Marcus C, Danielsson P, Hagman E. Pediatric obesity—Long-term consequences and effect of weight loss. J Intern Med. 2022;292(6):870-91.
17. Bendor CD, Bardugo A, Pinhas-Hamiel O, Afek A, Twig G. Cardiovascular morbidity, diabetes and cancer risk among children and adolescents with severe obesity. Cardiovasc Diabetol. 2020;19(1):79.
18. Ministry of Health and Family Welfare, Government of India. National Multisectoral Action Plan for Prevention and Control of Common NCDs (2017-2022). New Delhi: MOHFW; 2017.
19. Rundle AG, Park Y, Herbstman JB, Kinsey EW, Wang YC. COVID-19-related school closings and risk of weight gain among children. Obesity. 2020;28(6):1008-9.
20. World Obesity Federation. World Obesity Atlas 2023. London: World Obesity Federation; 2023.
21. Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents. Lancet Child Adolesc Health. 2020;4(1):23-35.
22. Haghjoo P, Siri G, Soleimani E, Farhangi MA, Alesaeidi S. Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis. BMC Prim Care. 2022;23(1):161.
23. Miller MA, Kruisbrink M, Wallace J, Ji C, Cappuccio FP. Sleep duration and incidence of obesity in infants, children, and adolescents: a systematic review and meta-analysis. Sleep. 2018;41(4):zsy018.
24. Ranjani H, Mehreen TS, Pradeepa R, et al. Epidemiology of childhood overweight and obesity in India: a systematic review. Indian J Med Res. 2016;143(2):160-74.
25. Shrewsbury V, Wardle J. Socioeconomic status and adiposity in childhood. Obesity. 2008;16(2):275-84.
26. Frederick CB, Snellman K, Putnam RD. Increasing socioeconomic disparities in adolescent obesity. Proc Natl Acad Sci USA. 2014;111(4):1338

