Cargando…
Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study
BACKGROUND: Lifestyle risk behaviours such as smoking, alcohol consumption, physical inactivity, sedentary behaviour and low fruit/vegetable intake have been identified as the major causes of chronic diseases. Such behaviours are usually instigated in adolescence and tend to persist into adulthood....
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712662/ https://www.ncbi.nlm.nih.gov/pubmed/31455283 http://dx.doi.org/10.1186/s12889-019-7516-4 |
_version_ | 1783446721607499776 |
---|---|
author | Teh, Chien Huey Teh, Ming Woey Lim, Kuang Hock Kee, Chee Cheong Sumarni, Mohd Ghazali Heng, Pei Pei Mohd Zahari, Tajul Hassan Chan, Ying Ying Nuur Hafiza, Md Iderus Tee, Eng Ong Fadzilah, Kamaludin |
author_facet | Teh, Chien Huey Teh, Ming Woey Lim, Kuang Hock Kee, Chee Cheong Sumarni, Mohd Ghazali Heng, Pei Pei Mohd Zahari, Tajul Hassan Chan, Ying Ying Nuur Hafiza, Md Iderus Tee, Eng Ong Fadzilah, Kamaludin |
author_sort | Teh, Chien Huey |
collection | PubMed |
description | BACKGROUND: Lifestyle risk behaviours such as smoking, alcohol consumption, physical inactivity, sedentary behaviour and low fruit/vegetable intake have been identified as the major causes of chronic diseases. Such behaviours are usually instigated in adolescence and tend to persist into adulthood. Studies on the clustering of lifestyle risk behaviours among adolescents are scarce, particularly in developing countries. Therefore, the present paper aimed to determine the clustering of lifestyle risk behaviours and its determinants among school-going adolescents in Malaysia. METHODS: Data were extracted from a cross-sectional study, the Malaysian Adolescent Health Risk Behaviour (MyAHRB) study, which was conducted from May to September 2013 across 11 states in Peninsular Malaysia. A two-stage proportionate-to-size sampling method was employed to select a total of 3578 school-going adolescents aged 16–17 years from 20 selected schools in urban and rural settlements, respectively. The MyAHRB study adopted a set of self-administered questionnaires adapted from the Global School-based Student’s Health Survey (GSHS) and the Youth Risk Behaviour Surveillance. RESULTS: The results from the analysis of 2991 school-going adolescents aged 16–17 years showed that 16 (in boys) and 15 (in girls) out of 32 combinations of lifestyle risk behaviours clustered. Girls (aOR 2.82, 95% CI: 2.32–3.43) were significantly more likely to have clustered risk behaviours than boys; however, no significant associated factors were observed among girls. In contrast, boys of Malay descent (aOR 0.64, 95% CI: 0.46–0.89) or boys who had at least three friends (aOR 0.65, 95% CI: 0.43–0.99) were less likely to engage in multiple risk behaviours. CONCLUSION: The present study demonstrated the clustering of multiple risk behaviours that occurred in both genders; these results suggest that multiple behaviour intervention programmes, instead of programmes based on siloed approaches, should be advocated and targeted to the high-risk sub-populations identified in the present study. |
format | Online Article Text |
id | pubmed-6712662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67126622019-08-29 Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study Teh, Chien Huey Teh, Ming Woey Lim, Kuang Hock Kee, Chee Cheong Sumarni, Mohd Ghazali Heng, Pei Pei Mohd Zahari, Tajul Hassan Chan, Ying Ying Nuur Hafiza, Md Iderus Tee, Eng Ong Fadzilah, Kamaludin BMC Public Health Research Article BACKGROUND: Lifestyle risk behaviours such as smoking, alcohol consumption, physical inactivity, sedentary behaviour and low fruit/vegetable intake have been identified as the major causes of chronic diseases. Such behaviours are usually instigated in adolescence and tend to persist into adulthood. Studies on the clustering of lifestyle risk behaviours among adolescents are scarce, particularly in developing countries. Therefore, the present paper aimed to determine the clustering of lifestyle risk behaviours and its determinants among school-going adolescents in Malaysia. METHODS: Data were extracted from a cross-sectional study, the Malaysian Adolescent Health Risk Behaviour (MyAHRB) study, which was conducted from May to September 2013 across 11 states in Peninsular Malaysia. A two-stage proportionate-to-size sampling method was employed to select a total of 3578 school-going adolescents aged 16–17 years from 20 selected schools in urban and rural settlements, respectively. The MyAHRB study adopted a set of self-administered questionnaires adapted from the Global School-based Student’s Health Survey (GSHS) and the Youth Risk Behaviour Surveillance. RESULTS: The results from the analysis of 2991 school-going adolescents aged 16–17 years showed that 16 (in boys) and 15 (in girls) out of 32 combinations of lifestyle risk behaviours clustered. Girls (aOR 2.82, 95% CI: 2.32–3.43) were significantly more likely to have clustered risk behaviours than boys; however, no significant associated factors were observed among girls. In contrast, boys of Malay descent (aOR 0.64, 95% CI: 0.46–0.89) or boys who had at least three friends (aOR 0.65, 95% CI: 0.43–0.99) were less likely to engage in multiple risk behaviours. CONCLUSION: The present study demonstrated the clustering of multiple risk behaviours that occurred in both genders; these results suggest that multiple behaviour intervention programmes, instead of programmes based on siloed approaches, should be advocated and targeted to the high-risk sub-populations identified in the present study. BioMed Central 2019-08-27 /pmc/articles/PMC6712662/ /pubmed/31455283 http://dx.doi.org/10.1186/s12889-019-7516-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Teh, Chien Huey Teh, Ming Woey Lim, Kuang Hock Kee, Chee Cheong Sumarni, Mohd Ghazali Heng, Pei Pei Mohd Zahari, Tajul Hassan Chan, Ying Ying Nuur Hafiza, Md Iderus Tee, Eng Ong Fadzilah, Kamaludin Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title | Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title_full | Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title_fullStr | Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title_full_unstemmed | Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title_short | Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
title_sort | clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712662/ https://www.ncbi.nlm.nih.gov/pubmed/31455283 http://dx.doi.org/10.1186/s12889-019-7516-4 |
work_keys_str_mv | AT tehchienhuey clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT tehmingwoey clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT limkuanghock clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT keecheecheong clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT sumarnimohdghazali clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT hengpeipei clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT mohdzaharitajulhassan clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT chanyingying clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT nuurhafizamdiderus clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT teeengong clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy AT fadzilahkamaludin clusteringoflifestyleriskbehavioursanditsdeterminantsamongschoolgoingadolescentsinamiddleincomecountryacrosssectionalstudy |