Evidence map›Paper›PMID 41029263›Full record

ArticleBMC public health2025

Clustering of lifestyle factors and the relationship with mental health among college students: a latent profile analysis.

Gusonghan Maitiniyazi, Maierhaba Dilimulati, Remila Abulaiti, Zulihuma Nijiati, Nazhakaiti Tuergong, Ting Ma, Chunpeng Li, Shufang Xia

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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 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gusonghan Maitiniyazi *School of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China. gulsumm@163.com.
Maierhaba Dilimulati *School of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Remila AbulaitiSchool of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Zulihuma NijiatiSchool of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Nazhakaiti TuergongSchool of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Ting MaSchool of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Chunpeng LiSchool of Nursing, Xinjiang Hetian College, Hetian, Xinjiang, China.
Shufang XiaWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China. xiashufang@jiangnan.edu.cn.

Funding

Xinjiang Uyghur Medicine College 2023ZR011
6 · The paper itself

Abstract

backgroundWhile substantial evidence links single lifestyle factors to mental health, research on how multiple co-occurring healthy lifestyle behaviors relate to mental health, particularly among college students, remains limited. This study aimed to identify distinct profiles of healthy lifestyle behaviors and examine their associations with mental health among college students.

methodThis cross-sectional study included 1340 college students (mean age = 19.4 years; SD = 1.2). Self-reported data were collected on diet, sleep, physical activity (PA), screen time, and sedentary behavior. Mental health was assessed using the Depression, Anxiety and Stress Scale-21 (DASS-21). Latent profile analysis was used to identify groups with similar lifestyle characteristics. Multiple linear regression was applied to examine associations between lifestyle profiles and mental health.

resultThree lifestyle profiles were identified: "Active Engagement" (n = 520, 38.8%), "Moderate Engagement" (n = 478, 35.7%), and "Negative Engagement" (n = 342, 25.5%). These groups showed significant differences in anxiety, depression and stress levels (p < 0.001). Monthly family income and sex predicted profile membership. Compared with the "Active Engagement" group, the "Moderate Engagement" and "Negative Engagement" groups showed a higher risk of mental health problems.

conclusionsOur findings suggest that interventions specifically targeting the active lifestyle pattern (characterized by the higher PA, low sedentary behavior and screen time) may be particularly effective for improving mental health in college students, moving beyond simply promoting single health behaviors.

Indexed as

Life StyleMental HealthStudentsAdolescentAdultCluster AnalysisCross-Sectional StudiesDepressionExerciseFemaleHumansMaleSedentary BehaviorStress, PsychologicalUniversitiesYoung AdultAnxietyCollege studentsDepressionLatent profile analysisLifestyleMental health

Identifiers

PMID41029263
PMCPMC12487337

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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.