Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study. 2021

Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
College of Physical Education and Sports, Beijing Normal University, Beijing, China.

Influence 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. A 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. Three 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. Clustering 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.

UI MeSH Term Description Entries
D008019 Life Style Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed) Lifestyle Factors,Life Style Induced Illness,Lifestyle,Factor, Lifestyle,Life Styles,Lifestyle Factor,Lifestyles
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D014171 Transients and Migrants People who frequently change their place of residence. Migrants,Migrant Workers,Nomads,Nonmigrants,Squatters,Transients,Migrant,Migrant Worker,Migrants and Transients,Nomad,Nonmigrant,Squatter,Transient,Worker, Migrant,Workers, Migrant
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings

Related Publications

Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
March 2023, Journal of affective disorders,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
November 2022, BMC pediatrics,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
May 2024, Journal of affective disorders,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
June 2022, BMJ open,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
January 2022, Frontiers in psychology,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
January 2021, Frontiers in pediatrics,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
January 2023, Frontiers in public health,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
April 2014, Nursing and midwifery studies,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
September 2021, Sleep & breathing = Schlaf & Atmung,
Li He, and Xiaoyan Li, and Weidong Wang, and Youfa Wang, and Haiyan Qu, and Yang Zhao, and Danhua Lin
April 2022, Psychiatry investigation,
Copied contents to your clipboard!