Evidence map›Paper›PMID 41965673›Full record

ArticleBMC psychiatry2026

Mental health literacy profiles and associated factors among young Chinese male soldiers: a latent profile analysis.

Mei Wang, Hong Xin Ni, Xiao Zhang, Jie Gao, Jun Li Zhou, Lan Yun Qu, Chun Ping Ni, Song Xu

Abstract read
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Article in BMC psychiatry, 2026. 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

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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

8 authors.

Mei Wang *Medical Team, 32752 Troop of the Chinese PLA, Xiangyang Hubei, China.
Hong Xin Ni *Department of Cardiovascular Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Xiao ZhangSchool of Nursing, Air Force Medical University, Xi'an Shaanxi, China.
Jie GaoSchool of Nursing, Air Force Medical University, Xi'an Shaanxi, China.
Jun Li ZhouDepartment of Psychology, The 991st Hospital of the Chinese PLA, Xiangyang Hubei, China.
Lan Yun QuThe 17th Retired Veteran Cadres' Sanatorium, Wuhan Hubei, China.
Chun Ping NiSchool of Nursing, Air Force Medical University, Xi'an Shaanxi, China. niping2025@163.com.
Song XuDepartment of Psychology, The 991st Hospital of the Chinese PLA, Xiangyang Hubei, China. 99043339@qq.com.

Funding

991 991YJ-202206
6 · The paper itself

Abstract

backgroundMental health literacy (MHL), defined as an individual’s knowledge, beliefs, and resources related to mental health disorders, is crucial for mental health. However, there is a lack of research evidence on young soldiers’ levels of MHL. To address this gap, this study aimed to explore MHL profiles and associated factors among young Chinese male soldiers.

methodsA cross-sectional study with 1,561 young Chinese male soldiers was conducted from April to December 2024. The participants were surveyed using the Multicomponent Mental Health Literacy Measure, Perceived Stress Scale, Self-Rating Anxiety Scale, and Self-Rating Depression Scale. Latent profile analysis, chi-square tests, multiple logistic regression, one-way analysis of variance (ANOVA), and the Student-Newman-Keuls (SNK) test were conducted.

resultsLatent profile analysis revealed three profiles characterized by high (n = 870, 55.73%), medium (n = 405, 25.95%), and low (n = 286, 18.32%) levels of MHL. The factors found to influence all HML profiles were age 18–23 years, less than 2 years of military service, and engagement in active psychological learning (P < 0.05). Recent exposure to stressful life events influenced the high and medium MHL profiles (P < 0.05). The low MHL profile had the highest risk of mental health problems, whereas the high MHL profile had the lowest risk (P < 0.001).

conclusionsThree latent MHL profiles were identified among young Chinese male soldiers. To promote soldiers’ mental health, specific interventions should be developed to target the specific characteristics of each profile. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Health Knowledge, Attitudes, PracticeHealth LiteracyMental HealthMilitary PersonnelSubjective StressAdolescentAdultAnxietyChinaCross-Sectional StudiesDepressionEast Asian PeopleHumansLatent Class AnalysisMaleYoung AdultAnxietyDepressionLatent profile analysisMental health literacyMilitary personnelPerceived stress

Identifiers

PMID41965673
PMCPMC13185204

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.