Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh

Abstract Background Adolescents 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. Methods A cross-sectional st...

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Main Authors: Lakshmi Rani Kundu, Abdullah Al Masud, Zohurul Islam, Jamil Hossain
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-023-16766-6
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author Lakshmi Rani Kundu
Abdullah Al Masud
Zohurul Islam
Jamil Hossain
author_facet Lakshmi Rani Kundu
Abdullah Al Masud
Zohurul Islam
Jamil Hossain
author_sort Lakshmi Rani Kundu
collection DOAJ
description Abstract Background Adolescents 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. Methods A 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. Results Most 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). Conclusions The 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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spelling doaj.art-46a57214fb454b599775fdef5aa184532023-11-26T14:27:38ZengBMCBMC Public Health1471-24582023-09-0123111210.1186/s12889-023-16766-6Clustering of health risk behaviors among school-going adolescents in Mymensingh district, BangladeshLakshmi Rani Kundu0Abdullah Al Masud1Zohurul Islam2Jamil Hossain3Department of Public Health and Informatics, Jahangirnagar UniversityDepartment of Public Health and Informatics, Jahangirnagar UniversityDepartment of Public Health, Hamdard University BangladeshDepartment of Public Health and Informatics, Jahangirnagar UniversityAbstract Background Adolescents 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. Methods A 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. Results Most 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). Conclusions The 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.https://doi.org/10.1186/s12889-023-16766-6AdolescentsClusteringHealth-risk behaviorSchool-going studentsBangladesh
spellingShingle Lakshmi Rani Kundu
Abdullah Al Masud
Zohurul Islam
Jamil Hossain
Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
BMC Public Health
Adolescents
Clustering
Health-risk behavior
School-going students
Bangladesh
title Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
title_full Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
title_fullStr Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
title_full_unstemmed Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
title_short Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
title_sort clustering of health risk behaviors among school going adolescents in mymensingh district bangladesh
topic Adolescents
Clustering
Health-risk behavior
School-going students
Bangladesh
url https://doi.org/10.1186/s12889-023-16766-6
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AT abdullahalmasud clusteringofhealthriskbehaviorsamongschoolgoingadolescentsinmymensinghdistrictbangladesh
AT zohurulislam clusteringofhealthriskbehaviorsamongschoolgoingadolescentsinmymensinghdistrictbangladesh
AT jamilhossain clusteringofhealthriskbehaviorsamongschoolgoingadolescentsinmymensinghdistrictbangladesh