ArticleBMC public health2023
Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Attitude and Involvement Regarding Sexual and Reproductive Health Among University Students: A Cross-Sectional Study in Bangladesh.Health science reports · 2026Article
- Latent class profiles of health-risk behaviors and the protective roles of psychological resilience and self-control in Chinese adolescents.Frontiers in public health · 2026Article
- Co-occurrence and clustering characteristics of health risk behaviors among older adults in China.Frontiers in public health · 2025Article
- Past-year substance use behaviors among university admission test-takers: insights from Bangladesh.BMC public health · 2024Article
- Co-occurrence of non-communicable disease risk factors among adolescents in Jos, Nigeria.African journal of primary health care & family medicine · 2024Article
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Abstract
backgroundAdolescents frequently engage in risky behaviors that negatively influence their health and pose a serious public health concern. This study aimed to examine the clustering pattern of health risk behaviors among school-going adolescents in Bangladesh.
methodsA cross-sectional study was conducted from 15 April to 27 June 2022 among 412 school-going adolescents in Mymensingh district of Bangladesh through a convenience sampling technique. Data were collected via face-to-face interviews using a modified Global School-Based Student Health Survey (GSHS) 2021 questionnaire. Cluster membership was identified using the k-means clustering algorithm. The chi-square test was adopted to explore the association between sociodemographic variables and each cluster membership. The ordinal logistic regression model was employed to examine the predictors associated with cluster membership.
resultsMost of the respondents were female (55.3%) and belonged to the 16-19 years (74.5%) age group. Three behavioral clusters were identified, including Cluster 1: Low-risk taker (50.2%), Cluster 2: Moderate risk taker (39.6%), and Cluster 3: High-risk taker (10.2%). Influential factors of high-risk behavior among adolescents were significantly associated with their age (p = 0.03), father's education who were illiterate (p = 0.02), monthly family income >30000 BDT (p = 0.04), parent's those were understanding their child's problems in most of the time (p = 0.001).
conclusionsThe study found that high-risk behaviors are significantly higher among late adolescents, those whose fathers are illiterate, whose monthly income is higher, those whose parents or guardians never realize their child's complications and worries, and those whose parents or guardians never recognize what they did in their leisure time. These findings will help to develop intervention programs, policies, strategies, and curricula in school by the experts following the necessity to adopt the adolescent toward healthy behavior and help to reduce the prevalence of health risk behavior.
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