Abstract
BackgroundPoor 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.MethodsThis 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.ResultsOne 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.ConclusionsThe 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 registrationNo.ChiCTR2000039574, prospectively registered on 1 November 2020.
Highlights
Poor mental health was reported among medical graduate students in some studies
As it indicated in recent studies, medical students were at high risks of mental distress, which were contributed to severe academic, psychological, and emotional stress, including academic demands, workload, pressure from teachers and parents, financial burden and worry about the future [11,12,13]
This study aimed to identify potential factors associating with mental health and further develop a novel model to predict the probability of mental distress, especially among medical graduate students
Summary
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. Identification of risk factors for anxiety and depression is capable of helping early detection and intervention and preventing more serious consequences As it indicated in recent studies, medical students were at high risks of mental distress, which were contributed to severe academic, psychological, and emotional stress, including academic demands, workload, pressure from teachers and parents, financial burden and worry about the future [11,12,13]. A previous study indicated that the role of inadequate self-awareness about one’s mental health concerns was a barrier to reaching out for professional help [14] It highlighted the importance of expanding the range of factors beyond commonly studied concepts like the demand-control model and the effort-reward imbalance model [15]
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