ArticleFrontiers in public health2025
From activity to obesity: understanding gender and type of school divide among Saudi adolescents.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Prevalence of overweight and obesity and their associations with lifestyle habits among late adolescents in the Northern Border Region of Saudi Arabia: a cross‑sectional study.BMC public health · 2026Article
- Gender as a moderator of the relationships among body composition, physical activity, basal metabolic rate, and BMI in Taiwanese university students.BMC public health · 2026Article
- Physical activity participation and obesity-related risk behaviors among male Saudi adolescents: a social cognitive theory perspective.Frontiers in public health · 2026Article
- Associations of social avoidance and sport engagement with physical health indicators among schoolchildren: a cross-sectional study.Frontiers in public health · 2026Article
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2 authors.
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Abstract
Background: Obesity has emerged as a significant predictor of the nationwide burden of non-communicable diseases in Saudi Arabia. Objectives: This study explores patterns in body mass index (BMI), physical activity (PA), and sedentary behavior (SB) among Saudi adolescents, focusing on variations by gender and school type (public vs. private). It identifies key factors affecting BMI. Methods: A total of 2,815 students (53.64% male, aged 15.21 ± 1.55 years) participated. Body weight and composition were determined by bioelectrical impedance, while PA levels and SB scores were assessed through validated questionnaires. Two models were created, one with overall SB and the other with specific SBs. Results: Among participants, 28.4% were overweight/obese, with 17.2% classified as obese. Obesity prevalence was higher in boys (26.9%) compared to girls (6.0%). Overweight prevalence was slightly lower in private schools (9.9%) than in public schools (11.8%), while obesity rates were similar (17.3% vs. 17.2%). A significant association between BMI and school type was identified solely in girls (Model 1: Conclusion: Gender, age, PA, and SB explained a small portion of BMI variance. Future research should investigate mechanisms underlying these non-linear trends and explore additional confounding variables.
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