The clustering of multiple health and lifestyle behaviors among Swedish adolescents: a person-oriented analysis

Frontiers in Public Health

Public Health

Nicholas Kofi Adjei¹  Maria Corell²  Petra Löfstedt²  Kenisha Russell Jonsson² 

[1] Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom;Leibniz Institute for Prevention Research and Epidemiology–BIPS, Bremen, Germany;Health Sciences Bremen, University of Bremen, Bremen, Germany;School of Public Health and Community Medicine, Institute of Medicine, Gothenburg University, Göteborg, Sweden;

关键词: health behaviors;    lifestyle;    alcohol;    diet;    physical activity;    smoking;    sleep;    children and adolescents;   

DOI  :  10.3389/fpubh.2023.1178353

 received in 2023-03-07, accepted in 2023-06-16,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundKnowledge of the distribution, prevalence, and clustering of multiple health and lifestyle related behaviors (HLBs) among adolescents can inform the development of effective health-promoting policies and interventions. We assessed the clustering of multiple HLBs among 11, 13 and 15-year-old Swedish adolescents and examined the socioeconomic and demographic correlates for the identified clusters.MethodsWe used data from the 2017/2018 Swedish Health Behaviour in School-aged children (HBSC) study to conduct sex and age-stratified latent class analysis (LCA). The LCA was based on five HLBs: eating behavior and habits (EBH), physical activity (PA), tobacco usage (TU), alcohol consumption (AC) and sleeping habits and patterns (SHPs). Multinomial logistic regression models were used to assess the associations between the identified clusters and the socioeconomic and demographic characteristics of adolescents and their parents.ResultsHealth behaviors varied by sex and age. Four distinct clusters were identified based on sex: cluster 1 (Mixed eating behaviors and habits, physical activity and low alcohol consumption), cluster 2 (Healthy lifestyle behaviors), cluster 3 (Unhealthy lifestyle behaviors), and cluster 4 (Breakfast, low alcohol consumption and tobacco usage). In the age-stratified analyzes, three clusters were identified: cluster 1 (Unhealthy lifestyle behaviors), cluster 2 (Moderately healthy lifestyle behaviors) and cluster 3 (Healthy lifestyle behaviors). The multinomial analysis showed that sex, age, family situation and perceived family wealth were strong predictors of health behaviors. Unhealthy behaviors were most commonly associated with socioeconomic disadvantage, having a migrant background, and living in reconstructed families or single-parent households.ConclusionHealth behaviors vary significantly based on socioeconomic and demographic circumstances. Targeted policies and intervention programs are necessary to improve HLBs among vulnerable and at-risk adolescents.

【 授权许可】

Unknown   
Copyright © 2023 Jonsson, Corell, Löfstedt and Adjei.