Evidence map›Paper›PMID 40166545›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Depression Risk and Work Hours in Training Physicians Before and During the COVID-19 Pandemic.

Jennifer L Cleary, Karina Pereira-Lima, Xianda Ma, Lihong Chen, Margit Burmeister, Lisa M Meeks, Zhuo Zhao, Jun Ye, Yu Fang, Zhenke Wu and 8 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jennifer L ClearyMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Karina Pereira-LimaMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Xianda MaBrain Health and Brain Technology Center in Global Institute of Future Technology, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Lihong ChenScience and Technology department, Shanghai Jiao Tong University School of Medicine, China.
Margit BurmeisterMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Lisa M MeeksDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI.
Zhuo ZhaoMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Jun YeBrain Health and Brain Technology Center in Global Institute of Future Technology, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Yu FangMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Zhenke WuDepartment of Biostatistics and Michigan Institute of Data Science, University of Michigan, Ann Arbor, MI.
Elena FrankMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.
Ruyuan ZhangInstitute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Suhua ZengBrain Health and Brain Technology Center in Global Institute of Future Technology, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Qian ZhaoBrain Health and Brain Technology Center in Global Institute of Future Technology, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Douglas A MataDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Amy BohnertDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI.
Weidong LiBrain Health and Brain Technology Center in Global Institute of Future Technology, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Srijan SenMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI.ORCID 0000-0003-4495-495X

Funding

TRAINING PROGRAM IN DEVELOPMENTAL PSYCHOLOGYT32HD007109 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GELMAN, SUSAN A., MONK, CHRISTOPHER STEPHEN · 1985 to 2025
$6.6M
Mobile Technology to Identify Behavorial Mechanisms Linking Genetic Variation and DepressionR01MH101459 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2013 to 2023
$6.4M
Multi-Institutional Training in Genetic/Genomic Approaches to Sleep DisordersT32HL110952 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CHERVIN, RONALD D, MIGNOT, EMMANUEL J · 2013 to 2022
$5.0M
NHLBI NIH HHS T32 HL110952NICHD NIH HHS T32 HD007109NIMH NIH HHS R01 MH101459
6 · The paper itself

Abstract

Importance: In the general population, depression increased with the onset of the COVID-19 pandemic. In addition to the general pandemic impact, training physicians faced many sudden and dramatic changes in their training environment. However, the effects of these changes on the mental health of training physicians remains unknown. Objective: To identify change in depression risk among training physicians with the onset of the COVID-19 pandemic and factors associated with risk. Design: Prospective cohort study. Setting: University- and community-based health care institutions in the United States and Shanghai, China. Participants: First-year resident physicians (interns) serving during the 2018-19 (n=1844), 2019-20 (n=1201), and 2020-21 (n=2448) academic years (U.S. sample); interns serving during the 2021-22 academic year (n=471) (Shanghai sample). Main Outcomes and Measurements: Depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]) and work hours were assessed quarterly for all U.S. cohorts. The 2019-20 cohort completed supplemental surveys of these measures in April and May 2020. Shanghai sample interns were assessed for depressive symptoms (PHQ-9) and work hours quarterly before, during, and after the 2022 lockdown. Results: Within the 2019-20 U.S. cohort, depressive symptom scores decreased from the pre-pandemic (September, December) to the pandemic period (April, May, June) (5.5 [3.9] vs. 4.9 [4.3], Conclusions and Relevance: Interns experienced a 11% decrease in depressive symptoms with the onset of the pandemic, which was primarily driven by reduced work hours. The identified associations between work hours and depressive symptoms early in the pandemic may inform strategies to support physician wellness moving forward.

Identifiers

PMID40166545
PMCPMC11957093

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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.