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Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study

BACKGROUND: In China, the identification rate and treatment rate of mental disorders are low, and there are few surveys on the prevalence of mental disorders among college students using diagnostic tools such as Mini-International Neuropsychiatric Interview (MINI), so the prevalence and treatment of...

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Autores principales: Lu, Wen-Ting, Hu, Pei-Hua, Li, Na, Wang, Lan, Wang, Ran, Wang, Zeng, Song, Mei, Zhao, Tian-Yu, Guo, Shi-Jie, Huang, Fan-Fan, Liu, Bu-Fan, Ren, Ruo-Jia, Yang, Li, Lin, Quan, Xu, Yue-Hang, Jin, Na, Chen, Huan, Gao, Yuan-Yuan, Wu, Zhi-Feng, Shi, Guang-Yu, Liu, Da-Peng, Pan, Zhong-Qi, Du, Chun-Chao, An, Cui-Xia, Wang, Xue-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251358/
https://www.ncbi.nlm.nih.gov/pubmed/37303927
http://dx.doi.org/10.5498/wjp.v13.i5.215
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author Lu, Wen-Ting
Hu, Pei-Hua
Li, Na
Wang, Lan
Wang, Ran
Wang, Zeng
Song, Mei
Zhao, Tian-Yu
Guo, Shi-Jie
Huang, Fan-Fan
Liu, Bu-Fan
Ren, Ruo-Jia
Yang, Li
Lin, Quan
Xu, Yue-Hang
Jin, Na
Chen, Huan
Gao, Yuan-Yuan
Wu, Zhi-Feng
Shi, Guang-Yu
Liu, Da-Peng
Pan, Zhong-Qi
Du, Chun-Chao
An, Cui-Xia
Wang, Xue-Yi
author_facet Lu, Wen-Ting
Hu, Pei-Hua
Li, Na
Wang, Lan
Wang, Ran
Wang, Zeng
Song, Mei
Zhao, Tian-Yu
Guo, Shi-Jie
Huang, Fan-Fan
Liu, Bu-Fan
Ren, Ruo-Jia
Yang, Li
Lin, Quan
Xu, Yue-Hang
Jin, Na
Chen, Huan
Gao, Yuan-Yuan
Wu, Zhi-Feng
Shi, Guang-Yu
Liu, Da-Peng
Pan, Zhong-Qi
Du, Chun-Chao
An, Cui-Xia
Wang, Xue-Yi
author_sort Lu, Wen-Ting
collection PubMed
description BACKGROUND: In China, the identification rate and treatment rate of mental disorders are low, and there are few surveys on the prevalence of mental disorders among college students using diagnostic tools such as Mini-International Neuropsychiatric Interview (MINI), so the prevalence and treatment of mental disorders among college students are unclear. AIM: To estimate prevalence of mental disorders among medical students in Hebei Province, and provide guidance for improving their mental health. METHODS: This was a cross-sectional study based on an Internet-based survey. Three levels of medical students in Hebei Province were randomly selected (by cluster sampling) for screening. Using the information network assessment system, the subjects scanned the 2D code with their mobile phones, clicked to sign the informed consent, and answered a scale. A self-designed general status questionnaire was used to collect information about age, gender, ethnicity, grade, and origin of students. The MINI 5.0. was used to investigate mental disorders. Data analysis was performed with SPSS software. Statistically significant findings were determined using a two-tailed P value of 0.05. RESULTS: A total of 7117 subjects completed the survey between October 11 and November 7, 2021. The estimated prevalence of any mental disorders within 12 mo was 7.4%. Mood disorders were the most common category (4.3%), followed by anxiety disorders (3.9%); 15.0% had been to psychological counseling, while only 5.7% had been to a psychiatric consultation, and only 10% had received drug therapy in the past 12 mo. CONCLUSION: Although the estimated prevalence of mental disorders in medical students is lower than in the general population, the rate of adequate treatment is low. We determined that improving the mental health of medical students is an urgent matter.
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spelling pubmed-102513582023-06-10 Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study Lu, Wen-Ting Hu, Pei-Hua Li, Na Wang, Lan Wang, Ran Wang, Zeng Song, Mei Zhao, Tian-Yu Guo, Shi-Jie Huang, Fan-Fan Liu, Bu-Fan Ren, Ruo-Jia Yang, Li Lin, Quan Xu, Yue-Hang Jin, Na Chen, Huan Gao, Yuan-Yuan Wu, Zhi-Feng Shi, Guang-Yu Liu, Da-Peng Pan, Zhong-Qi Du, Chun-Chao An, Cui-Xia Wang, Xue-Yi World J Psychiatry Observational Study BACKGROUND: In China, the identification rate and treatment rate of mental disorders are low, and there are few surveys on the prevalence of mental disorders among college students using diagnostic tools such as Mini-International Neuropsychiatric Interview (MINI), so the prevalence and treatment of mental disorders among college students are unclear. AIM: To estimate prevalence of mental disorders among medical students in Hebei Province, and provide guidance for improving their mental health. METHODS: This was a cross-sectional study based on an Internet-based survey. Three levels of medical students in Hebei Province were randomly selected (by cluster sampling) for screening. Using the information network assessment system, the subjects scanned the 2D code with their mobile phones, clicked to sign the informed consent, and answered a scale. A self-designed general status questionnaire was used to collect information about age, gender, ethnicity, grade, and origin of students. The MINI 5.0. was used to investigate mental disorders. Data analysis was performed with SPSS software. Statistically significant findings were determined using a two-tailed P value of 0.05. RESULTS: A total of 7117 subjects completed the survey between October 11 and November 7, 2021. The estimated prevalence of any mental disorders within 12 mo was 7.4%. Mood disorders were the most common category (4.3%), followed by anxiety disorders (3.9%); 15.0% had been to psychological counseling, while only 5.7% had been to a psychiatric consultation, and only 10% had received drug therapy in the past 12 mo. CONCLUSION: Although the estimated prevalence of mental disorders in medical students is lower than in the general population, the rate of adequate treatment is low. We determined that improving the mental health of medical students is an urgent matter. Baishideng Publishing Group Inc 2023-05-19 /pmc/articles/PMC10251358/ /pubmed/37303927 http://dx.doi.org/10.5498/wjp.v13.i5.215 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Observational Study
Lu, Wen-Ting
Hu, Pei-Hua
Li, Na
Wang, Lan
Wang, Ran
Wang, Zeng
Song, Mei
Zhao, Tian-Yu
Guo, Shi-Jie
Huang, Fan-Fan
Liu, Bu-Fan
Ren, Ruo-Jia
Yang, Li
Lin, Quan
Xu, Yue-Hang
Jin, Na
Chen, Huan
Gao, Yuan-Yuan
Wu, Zhi-Feng
Shi, Guang-Yu
Liu, Da-Peng
Pan, Zhong-Qi
Du, Chun-Chao
An, Cui-Xia
Wang, Xue-Yi
Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title_full Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title_fullStr Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title_full_unstemmed Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title_short Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study
title_sort estimated prevalence and sociodemographic correlates of mental disorders in medical students of hebei province, china: a cross-sectional study
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251358/
https://www.ncbi.nlm.nih.gov/pubmed/37303927
http://dx.doi.org/10.5498/wjp.v13.i5.215
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