Evidence map›Paper›PMID 33740944›Full record

ArticleBMC public health2021

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

Li He, Xiaoyan Li, Weidong Wang, Youfa Wang, Haiyan Qu, Yang Zhao, Danhua Lin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Physical activity interventions among children and adolescents in China: a scoping review through an equity lens.The international journal of behavioral nutrition and physical activity · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Li HeCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Xiaoyan LiInstitute of Developmental Psychology, Beijing Normal University, Beijing, China.
Weidong WangSchool of Sociology and Population Studies, Renmin University of China, Beijing, China.
Youfa WangGlobal Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an, China.
Haiyan QuDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, USA.
Yang ZhaoThe George Institute for Global Health at Peking University Health Science Centre, Beijing, China.
Danhua LinInstitute of Developmental Psychology, Beijing Normal University, Beijing, China. danhualin@bnu.edu.cn.
Beijing Normal University · CNGeorge Institute for Global Health · CNRenmin University of China · CNUniversity of Alabama at Birmingham · USXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Transients and MigrantsAdolescentChildChinaCluster AnalysisCross-Sectional StudiesHumansLife StyleSurveys and QuestionnairesAdolescentsClusteringLeft-behindLifestyle behaviorMigration

Identifiers

PMID33740944
PMCPMC7980326
OpenAlexW3117547909

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.