Evidence map›Paper›PMID 41095561›Full record

ArticleHealthcare (Basel, Switzerland)2025

A Cluster Analysis of EPOCH Questionnaire Data from University Students in Sichuan, China: Exploring Group Differences in Psychological Well-Being and Demographic Factors.

Juan Wan, Lijuan Ren, Yufei Tan, Yin How Wong, Ching Sin Siau, Lei Hum Wee

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Juan WanSchool of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
Lijuan RenSchool of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China.ORCID 0000-0003-2908-9240
Yufei TanSchool of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
Yin How WongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya 47500, Malaysia.
Ching Sin SiauCentre for Community Health Studies, Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia.ORCID 0000-0001-7612-6839
Lei Hum WeeCentre for Community Health Studies, Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia.

Funding

Chengdu University of Information Technology 1251000045071780XR
6 · The paper itself

Abstract

(1) Background: University students face increasing mental health challenges, with sociodemographic disparities shaping well-being outcomes and highlighting the need for machine learning approaches to identify distinct psychological profiles. (2) Methods: This cross-sectional study surveyed 4911 Chinese university students (aged 18-25) using the EPOCH Questionnaire, which measures Engagement, Perseverance, Optimism, Connectedness, and Happiness. Data were collected via WenjuanXing (WJX), with recruitment promoted through official channels. Well-being profiles were identified through exploratory K-means clustering, with internal validity and the optimal cluster number assessed using the silhouette coefficient. (3) Results: Cluster analysis identified two distinct groups: Cluster 0 (41.09%) with higher well-being scores and Cluster 1 (58.91%) with lower scores. Differences across all five EPOCH dimensions exceeded 1.0, most notably in Optimism (Δ = 1.31) and Happiness (Δ = 1.37). A subgroup of concern within Cluster 1 (

Indexed as

ChinaEPOCHK-means clusteringpsychological well-beinguniversity students

Identifiers

PMID41095561
PMCPMC12524730

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.