Evidence map›Paper›PMID 39901751›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2025

Multi-group Causal Model of Mental Health Literacy and Helping Behavior Toward People at Risk of Depression Among Thai and Vietnamese Health Science Students.

Anchalee Jansem, Ungsinun Intarakamhang, Charin Suwanwong, Krittipat Chuenphitthayavut, Sudarat Tuntivivat, Khuong Le, Le Thi Mai Lien, Pitchada Prasittichok

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Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

2 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.

Anchalee JansemFaculty of Humanities, Srinakharinwirot University, Bangkok, Thailand.
Ungsinun IntarakamhangBehavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand.
Charin SuwanwongBehavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand.
Krittipat ChuenphitthayavutBehavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand.
Sudarat TuntivivatBehavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand.
Khuong LeFaculty of Psychology, University of Social Sciences and Humanities, Vietnam National University, Ho Chi Minh City, Vietnam.
Le Thi Mai LienFaculty of Psychology, University of Social Sciences and Humanities, Vietnam National University, Ho Chi Minh City, Vietnam.
Pitchada PrasittichokBehavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand.

Funding

Faculty of Humanities, SWU Thailand 172/2556Sciences and Humanities, Vietnam National University NCM2023-01
6 · The paper itself

Abstract

objectivesDepression affects 23.3% of Thai and 15.2% of Vietnamese health science students, rates that exceed the global average of 4.4%. This study compared the causal models of mental health literacy and helping behavior toward individuals at risk of depression between these 2 groups.

methodsThis cross-sectional study was conducted from April 2023 to October 2023 and included 422 students from Thailand and Vietnam, who were studying medicine, nursing, psychology, and physical therapy. Stratified random sampling was used to select 211 students from each country. Data collection was performed using a Likert scale, which showed total-item correlations ranging from 0.24 to 0.83 and Cronbach's alpha values between 0.74 and 0.86. The data were analyzed using a structural equation model.

resultsThe causal models were consistent with the empirical data. The helping behavior of students toward peers at risk of depression was significantly influenced by their mental health literacy (effect size [ES], 0.91). This influence was also mediated indirectly by self-efficacy (ES, 0.18), positive attitudes (ES, 0.29), and social support (ES, 0.77). Collectively, these factors accounted for 83% of the variance in helping behavior. Social support had a more pronounced effect on mental health literacy among Vietnamese students than among their Thai counterparts (ES, 0.46 vs. 0.27, p<0.05). Conversely, positive attitudes had a stronger influence among Thai students than among Vietnamese students (ES, 0.17 vs. 0.01, p<0.05).

conclusionsThe causal models of helping behavior among Thai and Vietnamese health science students exhibited no significant differences. However, improving mental health literacy is crucial, as it significantly impacts helping behavior.

Indexed as

DepressionHealth LiteracyHelping BehaviorMental HealthStudentsStudents, Health OccupationsAdolescentAdultCross-Sectional StudiesFemaleHumansMaleSoutheast Asian PeopleSurveys and QuestionnairesThailandVietnamAttitudeHelping behaviorMental healthSelf efficacySocial support

Identifiers

PMID39901751
PMCPMC12149854

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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.