Evidence map›Paper›PMID 41878031›Full record

ArticleFrontiers in psychology2026

Relationship between physical activity and latent profiles of regulatory emotional self-efficacy among high school students: a latent profile analysis.

Hao Chen, Tianci Lu, Hanwen Chen, Lingzhi Wang, Jun Yan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hao ChenCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.
Tianci LuCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.
Hanwen ChenCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.
Lingzhi WangDepartment of Physical Education, Nantong Tianjiabing Junior Middle School, Nantong, Jiangsu, China.
Jun YanCollege of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Regulatory Emotional Self-Efficacy (RESE) is defined as an individual's confidence and self-assessment of his or her ability to regulate emotions, and is inextricably linked to daily life. To overcome the limitations of traditional dimensional analyses in revealing the overall combination of characteristics, the present study used latent profile analysis to explore the latent profile structure of RESE and to analyze its relationship with physical activity level and key demographic characteristics. Methods: Using latent profile analysis to explore the latent profiles of RESE. R3STEP analysis and multivariate logistic regression were used, respectively, to explore the associations of physical activity and demographic variables with the latent profiles of RESE. Results: RESE can be categorized into four latent profiles: Low Negative Regulatory Emotional Self-Efficacy (8.9%), Low Positive Regulatory Emotional Self-Efficacy (40.9%), Moderate Regulatory Emotional Self-Efficacy (30.0%), and Proficient Regulatory Emotional Self-Efficacy (20.2%). Follow-up analyses revealed that physical activity and gender were associated with RESE. Conclusion: (1) RESE identified four potential profiles in a population of high school students. (2) Gender was a significant predictor of the attribution of latent profiles of RESE. Females were more likely than males to fall into the Low Negative Regulatory Emotional Self-Efficacy group. (3) Physical activity is a significant predictor of RESE profiles. The lower the level of physical activity, the higher the likelihood of being classified into the two low Regulatory Emotional Self-Efficacy groups.

Indexed as

high school studentslatent profile analysisperson-centered approachphysical activityregulatory emotional self-efficacy

Identifiers

PMID41878031
PMCPMC13006652

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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.