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Burnout and psychological distress across U.S. postgraduate trainees, fellows, and students: A comprehensive meta-analysis.

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Title: Burnout and psychological distress across U.S. postgraduate trainees, fellows, and students: A comprehensive meta-analysis.
Authors: Jahanaray, Mohammad (AUTHOR), Pasha, Atena (AUTHOR), Jahanaray, Ali (AUTHOR)
Source: Journal of American College Health. Jul2026, Vol. 74 Issue 6, p1772-1785. 14p.
Subjects: Effect sizes (Statistics), Psychological distress, Psychological burnout, Graduate students, Meta-analysis, Descriptive statistics, Hospital medical staff, Systematic reviews, MEDLINE, Depersonalization, School discipline, Intraclass correlation, Psychology of medical students, Online information services, Data analysis software, Confidence intervals, Psychosocial factors, COVID-19 pandemic, Psychology information storage & retrieval systems
Geographic Terms: United States
Abstract: Objective: This meta-analysis explored the relationship between burnout and psychological distress across different academic disciplines, measurement tools, institutional contexts, and the pandemic. Method: We synthesized 76 effect sizes from 29 studies involving 20,037 students, residents, and fellows in the United States. Results: The correlation between burnout and psychological distress was (r = 0.44), with stress showing the strongest correlation (r = 0.48). Notably, the correlations were higher during the pandemic (r = 0.46) compared to pre-pandemic (r = 0.44). Our subgroup analysis indicated that medical students exhibited a stronger association (r = 0.5) than fellows and residents. Additionally, samples from a multiple organization yielded higher correlations (r = 0.46). Conclusions: Among the dimensions of burnout, emotional exhaustion demonstrated a stronger correlation with psychological distress. Meta-regression confirmed that the students' disciplines, sample locations, and COVID-19 moderated the overall effect size. Findings highlight the urgent need for targeted interventions to address environmental stressors within medical training. [ABSTRACT FROM AUTHOR]
Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Burnout and psychological distress across U.S. postgraduate trainees, fellows, and students: A comprehensive meta-analysis.
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  Data: <searchLink fieldCode="AR" term="%22Jahanaray%2C+Mohammad%22">Jahanaray, Mohammad</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pasha%2C+Atena%22">Pasha, Atena</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jahanaray%2C+Ali%22">Jahanaray, Ali</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+American+College+Health%22">Journal of American College Health</searchLink>. Jul2026, Vol. 74 Issue 6, p1772-1785. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Effect+sizes+%28Statistics%29%22">Effect sizes (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+burnout%22">Psychological burnout</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+students%22">Graduate students</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+medical+staff%22">Hospital medical staff</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Depersonalization%22">Depersonalization</searchLink><br /><searchLink fieldCode="DE" term="%22School+discipline%22">School discipline</searchLink><br /><searchLink fieldCode="DE" term="%22Intraclass+correlation%22">Intraclass correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+medical+students%22">Psychology of medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+information+storage+%26+retrieval+systems%22">Psychology information storage & retrieval systems</searchLink>
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  Data: Objective: This meta-analysis explored the relationship between burnout and psychological distress across different academic disciplines, measurement tools, institutional contexts, and the pandemic. Method: We synthesized 76 effect sizes from 29 studies involving 20,037 students, residents, and fellows in the United States. Results: The correlation between burnout and psychological distress was (r = 0.44), with stress showing the strongest correlation (r = 0.48). Notably, the correlations were higher during the pandemic (r = 0.46) compared to pre-pandemic (r = 0.44). Our subgroup analysis indicated that medical students exhibited a stronger association (r = 0.5) than fellows and residents. Additionally, samples from a multiple organization yielded higher correlations (r = 0.46). Conclusions: Among the dimensions of burnout, emotional exhaustion demonstrated a stronger correlation with psychological distress. Meta-regression confirmed that the students' disciplines, sample locations, and COVID-19 moderated the overall effect size. Findings highlight the urgent need for targeted interventions to address environmental stressors within medical training. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=195126944
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      – Type: doi
        Value: 10.1080/07448481.2025.2611276
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 1772
    Subjects:
      – SubjectFull: Effect sizes (Statistics)
        Type: general
      – SubjectFull: Psychological distress
        Type: general
      – SubjectFull: Psychological burnout
        Type: general
      – SubjectFull: Graduate students
        Type: general
      – SubjectFull: Meta-analysis
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Hospital medical staff
        Type: general
      – SubjectFull: Systematic reviews
        Type: general
      – SubjectFull: MEDLINE
        Type: general
      – SubjectFull: Depersonalization
        Type: general
      – SubjectFull: School discipline
        Type: general
      – SubjectFull: Intraclass correlation
        Type: general
      – SubjectFull: Psychology of medical students
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      – SubjectFull: Online information services
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      – SubjectFull: Data analysis software
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Psychosocial factors
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      – SubjectFull: COVID-19 pandemic
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      – SubjectFull: Psychology information storage & retrieval systems
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      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Burnout and psychological distress across U.S. postgraduate trainees, fellows, and students: A comprehensive meta-analysis.
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              Text: Jul2026
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