Unveiling the hidden struggles: A cross-sectional study on the mental health crisis among Chinese medical residents

Standardized residency training is a crucial component of medical education. However, residents commonly face heavy clinical workloads, occupational stress, and insufficient social support, contributing to a high prevalence of negative emotions such as depression, anxiety, and stress. These psychological issues significantly threaten personal well-being and the quality of medical care. International studies have documented prominent mental health challenges among medical residents; yet, empirical research within the Chinese context remains limited, particularly regarding the mechanisms involving social support, workload, and institutional design. This study aimed to evaluate the prevalence of negative emotions among residents undergoing standardized residency training, identify key influencing factors, and to provide a basis for developing targeted intervention strategies in the future. A cross-sectional study was conducted involving 514 residents from 3 general hospitals in Hunan Province. Data were collected using a general information questionnaire, the Depression Anxiety Stress Scales-21, and a residency training-specific questionnaire. Data analysis was performed using SPSS version 26.0 to assess the residents' mental health status and identify associated influencing factors. The prevalence rates for depression, anxiety, and stress among residents were 86.4%, 92.2%, and 90.7%, respectively. Moderate-to-severe cases accounted for 19.8% (depression), 29.6% (anxiety), and 13.0% (stress). Factors significantly associated with negative emotions included interpersonal stress (odds ratios [OR] = 2.20-2.87), emotional stress (OR = 3.89), frequent extra shifts (OR = 4.85-5.42), duration of training (OR = 1.36), and low satisfaction with residency training (OR = 2.17-3.11). Conversely, positive perceptions regarding the value of residency training were protective factors (OR = 0.21-0.54). Negative emotions are prevalent among medical residents and influenced by multiple factors. Our findings indicate that interventions should prioritize mitigating interpersonal and emotional stressors, reducing non-rostered workloads, and fundamentally enhancing trainees' satisfaction and sense of value within the training program to safeguard their mental well-being and, by extension, patient care quality.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-11-14
DOI
https://doi.org/10.1097/md.0000000000045500
Citations
1
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
2.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the hidden struggles: A cross-sectional study on the mental health crisis among Chinese medical residents

Pan Su, Xuan Zheng, Neng Liu, Rong Li et al.
1 citations
Medicine
Healthcare professionals’ stress and burnout
2.82
article

Unveiling the hidden struggles: A cross-sectional study on the mental health crisis among Chinese medical residents

Pan Su, Xuan Zheng, Neng Liu, Rong Li, Xiaoyan Zhu, Aimin Wang
article en
1 citations

Abstract

Standardized residency training is a crucial component of medical education. However, residents commonly face heavy clinical workloads, occupational stress, and insufficient social support, contributing to a high prevalence of negative emotions such as depression, anxiety, and stress. These psychological issues significantly threaten personal well-being and the quality of medical care. International studies have documented prominent mental health challenges among medical residents; yet, empirical research within the Chinese context remains limited, particularly regarding the mechanisms involving social support, workload, and institutional design. This study aimed to evaluate the prevalence of negative emotions among residents undergoing standardized residency training, identify key influencing factors, and to provide a basis for developing targeted intervention strategies in the future. A cross-sectional study was conducted involving 514 residents from 3 general hospitals in Hunan Province. Data were collected using a general information questionnaire, the Depression Anxiety Stress Scales-21, and a residency training-specific questionnaire. Data analysis was performed using SPSS version 26.0 to assess the residents' mental health status and identify associated influencing factors. The prevalence rates for depression, anxiety, and stress among residents were 86.4%, 92.2%, and 90.7%, respectively. Moderate-to-severe cases accounted for 19.8% (depression), 29.6% (anxiety), and 13.0% (stress). Factors significantly associated with negative emotions included interpersonal stress (odds ratios [OR] = 2.20-2.87), emotional stress (OR = 3.89), frequent extra shifts (OR = 4.85-5.42), duration of training (OR = 1.36), and low satisfaction with residency training (OR = 2.17-3.11). Conversely, positive perceptions regarding the value of residency training were protective factors (OR = 0.21-0.54). Negative emotions are prevalent among medical residents and influenced by multiple factors. Our findings indicate that interventions should prioritize mitigating interpersonal and emotional stressors, reducing non-rostered workloads, and fundamentally enhancing trainees' satisfaction and sense of value within the training program to safeguard their mental well-being and, by extension, patient care quality.

MedicineVol. 104(46)
Central South University (CN), Changsha University (CN), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 7%
Healthcare professionals’ stress and burnout
2.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.