Evidence map›Paper›PMID 42352860›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Association Between Mental Health Literacy and Its Dimensions with Adolescent Depression and Anxiety: A Cross-Sectional Study Among 5759 Adolescents in China.

Zhihan Jiang, Xing Wang, Yuteng Luo, Zeyun Hu, Shibin Wang, Yanbin Liu, Heng Wu

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Article in Behavioral sciences (Basel, Switzerland), 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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5 · Who and what money

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7 authors.

Zhihan JiangDepartment of Psychosomatic Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Xing WangDepartment of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou 313000, China.
Yuteng LuoDepartment of Psychosomatic Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Zeyun HuSchool of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Shibin WangGuangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
Yanbin LiuNational Center for Mental Health, Beijing 100027, China.
Heng WuDepartment of Psychosomatic Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-9022-1290

Funding

National Natural Science Foundation 81803302
6 · The paper itself

Abstract

introductionAdolescent depression and anxiety are major public health concerns. Previous studies showed that low mental health literacy is associated with depressive and anxiety symptoms. However, how its core dimensions-knowledge, attitudes, and skills-differentially relate to emotional symptoms remains unclear.

methodsA school-based survey was conducted among 6400 adolescents in Guangdong, China. Eligible participants completed the MHL questionnaire and assessments for depressive and anxiety symptoms. We assessed whether MHL was associated with depressive and anxiety symptoms in adolescents. Machine learning algorithms with SHAP analysis were applied to explore complex associations and validate key findings.

resultsA total of 5759 adolescents were included. MHL and the knowledge dimension were negatively associated with depressive and anxiety symptoms. The attitudes dimension showed a negative association with both mental health outcomes (depression: OR = 0.83; anxiety: OR = 0.84) and machine learning confirmed attitudes as the key factor. Skills were unrelated to depressive symptoms. At the highest quartile, skills showed a positive association with anxiety symptoms (OR = 1.29).

conclusionsThe attitudes dimension is negatively associated with adolescent depressive and anxiety symptoms and emerged as a key feature in ML identification models.

Indexed as

adolescentanxietyChinadepressionmachine learningmental health literacy

Identifiers

PMID42352860
PMCPMC13295392

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