ArticleBMC psychiatry2026
Mental health literacy profiles and associated factors among young Chinese male soldiers: a latent profile analysis.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
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
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.