Evidence map›Paper›PMID 40369465›Full record

ArticleBMC public health2025

Healthy lifestyle promote Chinese university students' well-being: a cross-sectional network analysis.

Fuhua Yang, Kaiqing Xu, Ying Huang, Kunhua Pu, Jiaci Lin

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

5 authors.

Fuhua Yang *School of Information, Yunnan University of Chinese Medicine, Kunming, 650500, China.
Kaiqing Xu *School of Information, Yunnan University of Chinese Medicine, Kunming, 650500, China.
Ying HuangDepartment of Student Affairs, Kunming Medical University, Kunming, 650500, China.
Kunhua PuDepartment of Psychology, Faculty of Education, Yunnan Normal University, Lianda Street, Kunming, Yunnan, 650500, China.
Jiaci LinDepartment of Psychology, Faculty of Education, Yunnan Normal University, Lianda Street, Kunming, Yunnan, 650500, China. linjiaci0210@163.com.ORCID https://orcid.org/0000-0001-8659-0395

Funding

the Joint Key Project of Yunnan Federation of Social Sciences and Yunnan University of Traditional Chinese Medicine LHZX202403the Key Project of the National Traditional Chinese Medicine Examination Research Fund TA2024001the Yunnan Provincial Department of Education Research Fund 2024J0412
6 · The paper itself

Abstract

backgroundPrevious studies have revealed associations between lifestyle factors and well-being. However, few studies have examined these relationships within a network framework that accounts for their interconnections. The present study utilized network analysis to explore the promoting and inhibiting effects of various lifestyle behaviors on well-being.

methodsUsing convenience sampling, we surveyed 1,542 college students from seven universities in southern China between July and August 2023. We employed a network model to examine the structure of restorative behaviors (healthy eating and physical activity), deteriorative behaviors (alcohol consumption, cigarette use, and screen time), and well-being (psychological, social, and emotional well-being). This study explored the protective and risk effects of various restorative and deteriorative behaviors on well-being.

resultsThe results revealed that healthy eating was positively associated with psychological well-being (PWB; edge weight = 0.14), social well-being (SWB; edge weight = 0.05), and emotional well-being (EWB; edge weight = 0.09); physical activity was positively associated with PWB (edge weight = 0.04), and SWB (edge weight = 0.04); screen time was negatively associated with SWB (edge weight = -0.04). Healthy eating (bridge expected influence = 1.48) was identified as essential bridge nodes in maintaining the structure of the network.

conclusionsThe present study offered a new perspective on the relationship between lifestyle behaviors and well-being using network analysis for the first time. These findings offer preliminary insights for public health strategies aimed at improving students' well-being.

Indexed as

Healthy LifestyleStudentsAdolescentAdultChinaCross-Sectional StudiesExerciseFemaleHumansMaleSocial Network AnalysisSurveys and QuestionnairesUniversitiesYoung AdultHealthy eatingLifestyleNetwork analysisWell-being

Identifiers

PMID40369465
PMCPMC12076838

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.