期刊论文详细信息
BMC Public Health
Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study
Li He1  Haiyan Qu2  Youfa Wang3  Xiaoyan Li4  Danhua Lin4  Weidong Wang5  Yang Zhao6 
[1] College of Physical Education and Sports, Beijing Normal University, Beijing, China;Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, USA;Global Health Institute, School of Public Health, Xi’an Jiaotong University, Xi’an, China;Institute of Developmental Psychology, Beijing Normal University, Beijing, China;School of Sociology and Population Studies, Renmin University of China, Beijing, China;The George Institute for Global Health at Peking University Health Science Centre, Beijing, China;WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, Melbourne, VIC, Australia;
关键词: Clustering;    Lifestyle behavior;    Migration;    Left-behind;    Adolescents;   
DOI  :  10.1186/s12889-021-10584-4
来源: Springer
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【 摘 要 】

BackgroundInfluence of migration on externalized behavioral problems (e.g., aggressive) among adolescents has been well assessed, yet lifestyle behaviors of migrant, left-behind and local adolescents have been largely overlooked by researchers and policy-makers. Therefore, this study aimed to identify clustering of multiple lifestyle behaviors and their associations with migrant status among Chinese adolescents.MethodsA cross-sectional survey was conducted in 2015 in Beijing, and Wuhu city (Anhui province). Adolescents self-reported age, gender, family economic status, migrant situation, and lifestyle behaviors (i.e., physical activity, screen time, sleep, smoke, soft-drink, alcohol, fruit and vegetable consumption) via a battery of validated questionnaires. Latent class analysis was conducted to identify behavioral clusters using Mplus 7.1. ANOVA, and multivariable logistic regression were used to examine associations between migrant situations and behavioral clusters using SPSS 22.ResultsThree distinct behavioral clusters were exhibited among 1364 students (mean age: 13.41 ± 0.84 years): “low risk” (N = 847), “moderate risk” (N = 412) and “high risk” (N = 105). The “high-risk” cluster had the highest prevalence of adolescents not meeting healthy behavioral recommendations. There were no significant differences in the prevalence of high-risk lifestyle among migrant, left-behind, rural local and urban local adolescents. But migrant adolescents had the lowest prevalence of low-risk lifestyle, followed by left-behind, rural and urban local adolescents. Moreover, compared with urban local, migrant (OR = 2.72, 95%CI: 1.88,3.94), left-behind (OR = 2.28, 95%CI: 1.46, 3.55), and rural local (OR = 1.76, 95%CI:1.03,3.01) adolescents had a higher risk of moderate-risk lifestyle.ConclusionsClustering of assessed lifestyle behaviors differed by the migrant status. Particularly, migrant and left-behind adolescents were more likely to have moderate-risk lifestyle compared with their counterparts. Interventions that promote moderate to vigorous physical activity and consumption of fruits and vegetables simultaneously are needed among them.

【 授权许可】

CC BY   

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