Clustering Patterns of Unhealthy Lifestyle Behaviours Among Adolescents: A Multilevel Analysis of a Nationally Representative School-Based Survey from 73 Countries

<b>Background</b>: Adolescence is a crucial stage when young people adopt various lifestyle behaviours that can impact their health. However, the broader determinants of these behaviours remain underexplored. This study aimed to investigate clustering patterns of lifestyle behaviours, including physical activity, sedentary behaviour, and dietary habits, among adolescents and examine their determinants across individual, community, and societal levels. <b>Methods</b>: This study utilised nationally representative Global School-based Student Health Survey data. The lifestyle behaviours were dichotomised based on specific definitions, and the clustering patterns of multiple unhealthy behaviours were compared at various levels of factors. Multilevel logistic regression analysis was employed to identify individual, community, and societal level determinants of multiple unhealthy behaviours. <b>Results</b>: The study included 293,770 adolescents from 73 countries and territories across five World Health Organization (WHO) regions. The overall prevalence of one, two, three, four, and five unhealthy behaviours was 6.9%, 29.9%, 36.5%, 21.5%, and 4.5%, respectively. The odds of multiple unhealthy behaviours (defined by ≥4) increase with age and are higher among female adolescents [(AOR: 1.06, 95% CI:1.05, 1.07); (AOR: 1.16, 95% CI: 1.14, 1.19)], respectively. Adolescents from supportive families, peer environments, or food-secure households had lower odds of engaging in these behaviours [(AOR: 0.84, 95% CI: 0.82, 0.86); (AOR: 0.96, 95% CI: 0.94, 0.98); (AOR: 0.91, 95% CI: 0.87, 0.95)], respectively. The odds of exhibiting multiple unhealthy behaviours were significantly higher among adolescents in countries with high (0.7-0.79) and very high (0.8-1.0) Human Development Indexes (HDI) compared to those in low (<0.55) HDI countries [(AOR: 1.84, 95% CI: 1.16, 2.94); (AOR: 3.00, 95% CI: 1.48, 6.08)], respectively. <b>Conclusion</b>: The study findings reveal that multiple unhealthy lifestyle behaviours, including insufficient physical activity, sedentary behaviour, inadequate fruit and vegetable consumption, frequent soft drink intake, and fast-food consumption, are globally prevalent among adolescents. These behaviours have distinct clustering patterns associated with individual characteristics, family and peer environments, and broader socio-economic and societal contexts.

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Publication Details

Journal
Nutrients
Published
2025-02-07
DOI
https://doi.org/10.3390/nu17040609
Citations
6
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
11.27

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article

Clustering Patterns of Unhealthy Lifestyle Behaviours Among Adolescents: A Multilevel Analysis of a Nationally Representative School-Based Survey from 73 Countries

David Murray Roder, Zumin Shi, Ming Li, Yohannes Tekalegn Efa
6 citations
Nutrients
Obesity, Physical Activity, Diet
11.27
article

Clustering Patterns of Unhealthy Lifestyle Behaviours Among Adolescents: A Multilevel Analysis of a Nationally Representative School-Based Survey from 73 Countries

David Murray Roder, Zumin Shi, Ming Li, Yohannes Tekalegn Efa
article en
6 citations

Abstract

<b>Background</b>: Adolescence is a crucial stage when young people adopt various lifestyle behaviours that can impact their health. However, the broader determinants of these behaviours remain underexplored. This study aimed to investigate clustering patterns of lifestyle behaviours, including physical activity, sedentary behaviour, and dietary habits, among adolescents and examine their determinants across individual, community, and societal levels. <b>Methods</b>: This study utilised nationally representative Global School-based Student Health Survey data. The lifestyle behaviours were dichotomised based on specific definitions, and the clustering patterns of multiple unhealthy behaviours were compared at various levels of factors. Multilevel logistic regression analysis was employed to identify individual, community, and societal level determinants of multiple unhealthy behaviours. <b>Results</b>: The study included 293,770 adolescents from 73 countries and territories across five World Health Organization (WHO) regions. The overall prevalence of one, two, three, four, and five unhealthy behaviours was 6.9%, 29.9%, 36.5%, 21.5%, and 4.5%, respectively. The odds of multiple unhealthy behaviours (defined by ≥4) increase with age and are higher among female adolescents [(AOR: 1.06, 95% CI:1.05, 1.07); (AOR: 1.16, 95% CI: 1.14, 1.19)], respectively. Adolescents from supportive families, peer environments, or food-secure households had lower odds of engaging in these behaviours [(AOR: 0.84, 95% CI: 0.82, 0.86); (AOR: 0.96, 95% CI: 0.94, 0.98); (AOR: 0.91, 95% CI: 0.87, 0.95)], respectively. The odds of exhibiting multiple unhealthy behaviours were significantly higher among adolescents in countries with high (0.7-0.79) and very high (0.8-1.0) Human Development Indexes (HDI) compared to those in low (<0.55) HDI countries [(AOR: 1.84, 95% CI: 1.16, 2.94); (AOR: 3.00, 95% CI: 1.48, 6.08)], respectively. <b>Conclusion</b>: The study findings reveal that multiple unhealthy lifestyle behaviours, including insufficient physical activity, sedentary behaviour, inadequate fruit and vegetable consumption, frequent soft drink intake, and fast-food consumption, are globally prevalent among adolescents. These behaviours have distinct clustering patterns associated with individual characteristics, family and peer environments, and broader socio-economic and societal contexts.

NutrientsVol. 17(4)
The University of Queensland (AU), University of South Australia (AU), South Australian Health and Medical Research Institute (AU), Qatar University (QA)
World Health Organization, University of South Australia, Centers for Disease Control and Prevention
Openalex Percentile: Top 2%
Obesity, Physical Activity, Diet
11.27
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