Մատենագիտական մանրամասներ
| Վերնագիր: |
Latent profile analysis of psychological help-seeking stigma and influential factors among Hainan medical students. |
| Հեղինակներ: |
Li, Yingqi1 (AUTHOR), Long, Jiangyou1 (AUTHOR), Huang, Shuting1 (AUTHOR), Xu, Hongbing2 (AUTHOR), Wangzhou, Kaixin3 (AUTHOR) 454027643@qq.com, Qiu, Lei1 (AUTHOR) qiulei@hainmc.edu.cn |
| Աղբյուր: |
PLoS ONE. 4/16/2025, Vol. 20 Issue 4, p1-15. 15p. |
| Խորագրային տերմիններ: |
*MEDICAL students, *MULTIPLE regression analysis, *LOGISTIC regression analysis, *PROFESSIONALISM, *RECEIVER operating characteristic curves |
| Համառոտագրություն: |
Objective: Medical students frequently confront a range of psychological challenges inherent to their profession. Among these, the psychological help-seeking stigma (PHSS) is a crucial yet often neglected barrier, impeding medical students from obtaining necessary psychological support. This research aims to elucidate the characteristics of PHSS in medical students through latent profile analysis (LPA), examine its psycho-social determinants, and establish the threshold for PHSS using receiver operating characteristic (ROC) analysis. Methods: A cross-sectional survey was conducted among 3650 medical students from three medical colleges in Hainan Province, China, between February and July 2023. The survey gathered data on demographic details, PHSS, family socioeconomic status, professional help-seeking attitude, mental health level, self-efficacy and family function. LPA was employed to categorize distinct stigma profiles. Univariate and multiple logistic regression analyses were utilized to investigate the factors influencing these PHSS profiles. ROC analysis was executed to determine the optimal cut-off value for PHSS. Results: Three distinct PHSS profiles emerged among the participants: "low-level stigma" (23.2%), "moderate-level stigma" (53.2%), and "high-level stigma" (23.6%). Logistic regression analysis revealed that professional help-seeking attitude, mental health level, self-efficacy and family function were associated with PHSS. The ROC analysis determined that the optimal cut-off value for identifying PHSS was ≥ 19.5. Conclusion: This study highlights the substantial variability in PHSS among medical students. The identification of key influencing factors underscores the need for bespoke mental health interventions tailored to this unique demographic. [ABSTRACT FROM AUTHOR] |
|
Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Շտեմարան: |
Academic Search Premier |
|
Ամբողջական տեքստը չի ցուցադրվում հյուրերին: |
Մուտք գործեք ամբողջական հասանելիության համար:
|