Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study
Abstract 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 adu...
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| Format: | Article |
| Language: | English |
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BMC
2019-08-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-019-7516-4 |
| _version_ | 1818306757592612864 |
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| author | Chien Huey Teh Ming Woey Teh Kuang Hock Lim Chee Cheong Kee Mohd Ghazali Sumarni Pei Pei Heng Tajul Hassan Mohd Zahari Ying Ying Chan Md Iderus Nuur Hafiza Eng Ong Tee Kamaludin Fadzilah |
| author_facet | Chien Huey Teh Ming Woey Teh Kuang Hock Lim Chee Cheong Kee Mohd Ghazali Sumarni Pei Pei Heng Tajul Hassan Mohd Zahari Ying Ying Chan Md Iderus Nuur Hafiza Eng Ong Tee Kamaludin Fadzilah |
| author_sort | Chien Huey Teh |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-13T06:47:34Z |
| format | Article |
| id | doaj.art-b630749b8cfb479c949e170db73f2f32 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-13T06:47:34Z |
| publishDate | 2019-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-b630749b8cfb479c949e170db73f2f322022-12-21T23:56:13ZengBMCBMC Public Health1471-24582019-08-0119111010.1186/s12889-019-7516-4Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional studyChien Huey Teh0Ming Woey Teh1Kuang Hock Lim2Chee Cheong Kee3Mohd Ghazali Sumarni4Pei Pei Heng5Tajul Hassan Mohd Zahari6Ying Ying Chan7Md Iderus Nuur Hafiza8Eng Ong Tee9Kamaludin Fadzilah10Institute for Medical Research, Ministry of HealthHospital Tengku Ampuan RahimahInstitute for Medical Research, Ministry of HealthInstitute for Medical Research, Ministry of HealthInstitute for Medical Research, Ministry of HealthInstitute for Medical Research, Ministry of HealthInstitute for Medical Research, Ministry of HealthInstitute for Public Health, Ministry of HealthInstitute for Medical Research, Ministry of HealthAllied Health Science College, Jalan HospitalInstitute for Medical Research, Ministry of HealthAbstract 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.http://link.springer.com/article/10.1186/s12889-019-7516-4ClusteringMultiple health risk behavioursRisk factorsSchool-going adolescentsMyAHRB |
| spellingShingle | Chien Huey Teh Ming Woey Teh Kuang Hock Lim Chee Cheong Kee Mohd Ghazali Sumarni Pei Pei Heng Tajul Hassan Mohd Zahari Ying Ying Chan Md Iderus Nuur Hafiza Eng Ong Tee Kamaludin Fadzilah Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income country: a cross-sectional study BMC Public Health Clustering Multiple health risk behaviours Risk factors School-going adolescents MyAHRB |
| 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 | Clustering Multiple health risk behaviours Risk factors School-going adolescents MyAHRB |
| url | http://link.springer.com/article/10.1186/s12889-019-7516-4 |
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