A novel model to predict mental distress among medical graduate students in China

Abstract Background Poor mental health was reported among medical graduate students in some studies. Identification of risk factors for predicting the mental health is capable of reducing psychological distress among medical graduate students. Therefore, the aim of the study was to identify potentia...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fei Guo, Min Yi, Li Sun, Ting Luo, Ruili Han, Lanlan Zheng, Shengyang Jin, Jun Wang, Mingxing Lei, Changjun Gao
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Mental distress Prediction model Medical graduate student Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/95161aa91a89446ab1e322138762ae8a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:95161aa91a89446ab1e322138762ae8a
record_format	dspace
spelling	oai:doaj.org-article:95161aa91a89446ab1e322138762ae8a2021-11-21T12:05:25ZA novel model to predict mental distress among medical graduate students in China10.1186/s12888-021-03573-91471-244Xhttps://doaj.org/article/95161aa91a89446ab1e322138762ae8a2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12888-021-03573-9https://doaj.org/toc/1471-244XAbstract Background Poor mental health was reported among medical graduate students in some studies. Identification of risk factors for predicting the mental health is capable of reducing psychological distress among medical graduate students. Therefore, the aim of the study was to identify potential risk factors relating to mental health and further create a novel prediction model to calculate the risk of mental distress among medical graduate students. Methods This study collected and analyzed 1079 medical graduate students via an online questionnaire. Included participants were randomly classified into a training group and a validation group. A model was developed in the training group and validation of the model was performed in the validation group. The predictive performance of the model was assessed using the discrimination and calibration. Results One thousand and fifteen participants were enrolled and then randomly divided into the training group (n = 508) and the validation group (n = 507). The prevalence of severe mental distress was 14.96% in the training group, and 16.77% in the validation group. The model was developed using the six variables, including the year of study, type of student, daily research time, monthly income, scientific learning style, and feeling of time stress. The area under the receiver operating characteristic curve (AUROC) and calibration slope for the model were 0.70 and 0.90 (95% CI: 0.65 ~ 1.15) in the training group, respectively, and 0.66 and 0.80 (95% CI, 0.51 ~ 1.09) in the validation group, respectively. Conclusions The study identified six risk factors for predicting anxiety and depression and successfully created a prediction model. The model may be a useful tool that can identify the mental status among medical graduate students. Trial registration No. ChiCTR2000039574 , prospectively registered on 1 November 2020.Fei GuoMin YiLi SunTing LuoRuili HanLanlan ZhengShengyang JinJun WangMingxing LeiChangjun GaoBMCarticleMental distressPrediction modelMedical graduate studentPsychiatryRC435-571ENBMC Psychiatry, Vol 21, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mental distress Prediction model Medical graduate student Psychiatry RC435-571
spellingShingle	Mental distress Prediction model Medical graduate student Psychiatry RC435-571 Fei Guo Min Yi Li Sun Ting Luo Ruili Han Lanlan Zheng Shengyang Jin Jun Wang Mingxing Lei Changjun Gao A novel model to predict mental distress among medical graduate students in China
description	Abstract Background Poor mental health was reported among medical graduate students in some studies. Identification of risk factors for predicting the mental health is capable of reducing psychological distress among medical graduate students. Therefore, the aim of the study was to identify potential risk factors relating to mental health and further create a novel prediction model to calculate the risk of mental distress among medical graduate students. Methods This study collected and analyzed 1079 medical graduate students via an online questionnaire. Included participants were randomly classified into a training group and a validation group. A model was developed in the training group and validation of the model was performed in the validation group. The predictive performance of the model was assessed using the discrimination and calibration. Results One thousand and fifteen participants were enrolled and then randomly divided into the training group (n = 508) and the validation group (n = 507). The prevalence of severe mental distress was 14.96% in the training group, and 16.77% in the validation group. The model was developed using the six variables, including the year of study, type of student, daily research time, monthly income, scientific learning style, and feeling of time stress. The area under the receiver operating characteristic curve (AUROC) and calibration slope for the model were 0.70 and 0.90 (95% CI: 0.65 ~ 1.15) in the training group, respectively, and 0.66 and 0.80 (95% CI, 0.51 ~ 1.09) in the validation group, respectively. Conclusions The study identified six risk factors for predicting anxiety and depression and successfully created a prediction model. The model may be a useful tool that can identify the mental status among medical graduate students. Trial registration No. ChiCTR2000039574 , prospectively registered on 1 November 2020.
format	article
author	Fei Guo Min Yi Li Sun Ting Luo Ruili Han Lanlan Zheng Shengyang Jin Jun Wang Mingxing Lei Changjun Gao
author_facet	Fei Guo Min Yi Li Sun Ting Luo Ruili Han Lanlan Zheng Shengyang Jin Jun Wang Mingxing Lei Changjun Gao
author_sort	Fei Guo
title	A novel model to predict mental distress among medical graduate students in China
title_short	A novel model to predict mental distress among medical graduate students in China
title_full	A novel model to predict mental distress among medical graduate students in China
title_fullStr	A novel model to predict mental distress among medical graduate students in China
title_full_unstemmed	A novel model to predict mental distress among medical graduate students in China
title_sort	novel model to predict mental distress among medical graduate students in china
publisher	BMC
publishDate	2021
url	https://doaj.org/article/95161aa91a89446ab1e322138762ae8a
work_keys_str_mv	AT feiguo anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT minyi anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT lisun anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT tingluo anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT ruilihan anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT lanlanzheng anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT shengyangjin anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT junwang anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT mingxinglei anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT changjungao anovelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT feiguo novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT minyi novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT lisun novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT tingluo novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT ruilihan novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT lanlanzheng novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT shengyangjin novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT junwang novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT mingxinglei novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina AT changjungao novelmodeltopredictmentaldistressamongmedicalgraduatestudentsinchina
_version_	1718419259772633088

A novel model to predict mental distress among medical graduate students in China

Ejemplares similares