ArticleBMC public health2025
Latent profile analysis of college students' healthy lifestyles and its association with physical activity.
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 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Article
- Classification of 24-h movement behaviour patterns among university students and their relationship with physical fitness: a latent profile analysis.BMC public health · 2026Article
- A latent profile analysis of physical activity participation patterns and mental health among university students: the mediating role of emotion regulation.Scientific reports · 2026Article
- Mapping Heterogeneity in Psychological Risk Among University Students Using Explainable Machine Learning.Entropy (Basel, Switzerland) · 2026Article
- Latent profiles of basic psychological needs and their associations with health risk behaviors among engineering college students.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study investigates the latent profiles of healthy lifestyles among college students and examines their associations with physical activity levels, thereby establishing a scientific foundation for developing targeted interventions to address sub-health conditions.
methodsFrom October to December 2024, a stratified random cluster sampling method was used to select 2,058 college students from two representative universities in Henan Province. Data were collected through validated questionnaires, including the College Students’ Healthy Lifestyle Assessment Scale (CSHLAS) and the short-form International Physical Activity Questionnaire (IPAQ-SF). Data analysis was performed using Mplus 8.3 and SPSS 26.0 software.
resultsCollege students’ healthy lifestyles were classified into three latent profiles: Health Crisis Type (15.65%), Sub-health Adjustment Type (56.26%), and Healthy Vitality Type (28.09%). Statistically significant differences in the distribution of lifestyle profiles were observed across students’ majors, family living areas, and parental education levels (all P < 0.01). Compared with the Healthy Vitality Type, the risk of low physical activity was 6.99 times (95% CI = 3.84–12.71) and 2.29 times (95% CI = 1.59–3.28) higher in the Health Crisis Type and Sub-health Adjustment Type, respectively (both P < 0.001). The risk of moderate physical activity was 2.66 times (95% CI = 1.52–4.66) and 1.54 times (95% CI = 1.14–2.08) higher, respectively (both P < 0.01).
conclusionsInsufficient physicalactivity among college students is a significant issue, and their healthy lifestyle behaviors exhibit heterogeneity, which is significantly associated with physical activity levels. Targeted, individualized, and precise interventions should be developed, particularly for students from rural areas and those majoring in the humanities and medical sciences, in order to reduce the adoption of unhealthy lifestyles.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.