Evidence map›Paper›PMID 40270805›Full record

ArticleRisk management and healthcare policy2025

Prevalence and Correlates of Mental Health Problems in Resident Physicians in Inner Mongolia Autonomous Region: A Cross-Sectional Study.

Yan Zhang, Li Zhang, Jianyu Que, Miao Jia, Xi Nan, Juanniu Zhang, Haifei Gao, Lixia Chen

Abstract read
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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yan ZhangSchool of Mental Health, Inner Mongolia Medical University, Hohhot, 010000, People's Republic of China.
Li ZhangInner Mongolia Autonomous Region Mental Health Center, Hohhot, 010000, People's Republic of China.
Jianyu QueXiamen Xianyue Hospital, Affiliated Xianyue Hospital of Xiamen Medical College, Fujian Provincial Mental Health Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, Fujian Province, 361012, People's Republic of China.
Miao JiaInner Mongolia Autonomous Region Mental Health Center, Hohhot, 010000, People's Republic of China.
Xi NanInner Mongolia Autonomous Region Mental Health Center, Hohhot, 010000, People's Republic of China.
Juanniu ZhangInner Mongolia Autonomous Region Mental Health Center, Hohhot, 010000, People's Republic of China.
Haifei GaoSchool of Mental Health, Inner Mongolia Medical University, Hohhot, 010000, People's Republic of China.ORCID 0009-0002-8101-7965
Lixia ChenSchool of Mental Health, Inner Mongolia Medical University, Hohhot, 010000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the prevalence and contributory factors of mental health issues, including anxiety, depression, and insomnia, among resident physicians. Additionally, it endeavors to understand the complex characteristics of these issues across different demographic groups. Methods: Using an online cross-sectional design, the study engaged resident physicians in Inner Mongolia, China, through convenience sampling. Questionnaires collected data on sociodemographic background, training details, and symptoms of depression, anxiety, and insomnia, assessed using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI). Conduct latent class analysis on psychological issues using Mplus software. Analyze the related influencing factors of different group characteristics using a multivariate logistic regression model. Results: The study comprised 2891 resident physicians, revealing that 20.3% experienced moderate to severe anxiety, 19.72% had moderate to severe depression, and 9.6% faced moderate to severe insomnia. Latent class analysis identified three distinct mental health groups: a high anxiety-depression-insomnia group, a low anxiety-depression-healthy sleep group, and a moderate anxiety-mild depression-variable insomnia group. Factors such as training stage, professional accomplishments, self-reported medical errors, self-esteem, perceived stress, and social support were significantly associated with mental health issues, as identified by multivariate logistic regression. Conclusion: The mental health problems among residents are prominent. By analyzing mental health status and influencing factors, residents can be categorized into different groups, allowing for more targeted interventions. These interventions may include stress management, communication skills training, crisis intervention, and the development of support systems, along with improvements to the work environment and a focus on humanistic care.

Indexed as

anxietydepressiondeterminantsinsomnialatent class analysismental healthresident physicians

Identifiers

PMID40270805
PMCPMC12015728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.