Evidence map›Paper›PMID 41444877›Full record

ArticleBMC public health2025

Changes in knowledge and attitudes towards mental disorders in a Chinese sample population-a web-based approach.

Juan Li, Yan-Na Kou, Meng-Meng Zhang, Jiao Dong, Meng-Meng Li, Wei-Li Yang, Yuening Li, Zhao-Hui Zhang, Xiu-Juan Wang

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Article in BMC public health, 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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5 · Who and what money

Authors and funding

9 authors.

Juan LiThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Yan-Na KouThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Meng-Meng ZhangThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Jiao DongThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Meng-Meng LiThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Wei-Li YangThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Yuening LiThe First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Zhao-Hui ZhangThe First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China. zzhui816@126.com.
Xiu-Juan WangThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China. wang.xiujuan314@163.com.

Funding

Henan Province Science and Technology Development Plan Project 242102310074Key Research Project Guidance Plan for Higher Education Institutions in Henan Province 24B320016
6 · The paper itself

Abstract

backgroundOn October 10, 2022, The Lancet Psychiatry launched a global campaign aimed at ending the stigma surrounding mental illness, reinforcing the need for continued efforts to combat this pervasive issue. We previously surveyed knowledge and attitudes towards mental illness in a Chinese sample population. Seven years later, we aimed to conduct a study to reassess public perceptions of mental health and the level of mental illness literacy within the community today.

methodsA cross-sectional survey was designed and administered via a web-based chat application (WeChat) from March to September 2024. The survey tools were consistent with those employed in 2017. The Mental Health Knowledge Questionnaire (MHKQ) and the Perceived Devaluation and Discrimination Scale (PDDS) were used to evaluate the respondents' mental health knowledge and attitudes towards mental illness. The study protocol was approved by the Research Ethics Committee of the Second Affiliated Hospital of Xinxiang Medical University.

resultsA total of 1061 respondents were involved in the study. When education was included as a covariate, the adjusted mean total scores for the PDDS and MHKQ were (36.03 ± 0.19) and (16.51 ± 2.53), respectively, significantly higher than the survey results of 2017. Females were more closely associated with positive attitudes towards mental illness than males (t = - 2.06, P = 0.039). Respondents in the following groups were associated with higher MHKQ scores (all P < 0.05): Females; those with higher education levels; those who have had experience of others with mental illness; those who have learned about mental illness through personal experiences; those under 45 years old; and urban residents.

conclusionsAttitudes and knowledge levels showed positive changes between the two survey periods, suggesting potential improvements in mental health literacy among surveyed populations.More anti-stigma campaigns should be carried out for certain targeted groups, such as rural residents and middle-aged and elderly groups.

Indexed as

Health Knowledge, Attitudes, PracticeMental DisordersAdolescentAdultAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHealth LiteracyHumansInternetMaleMiddle AgedSocial StigmaSurveys and QuestionnairesChinese general populationMental health knowledgeStigma

Identifiers

PMID41444877
PMCPMC12729170

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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.