Cited by 2Doctoral Education Challenges and SolutionsHealthcare professionals’ stress and burnoutMental Health Treatment and Access

The DOI matches its Crossref record; 180 of the 182 references it cites were found in a registry or an index, and 2 are not checked yet; 4 of the 170 sources its claims cite were checked for support.

Prevalence and severity of mental health problems in early-career researchers: a systematic review and meta-analysis

Open access
Dreisoerner, Aljoscha, Goetz, Vanessa, Frohnmayer, David, Tran, Ulrich S., Voracek, Martin, Nater, Urs M.·2026·Nature Human Behaviour

Abstract

Mental health concerns among early-career researchers (ECRs) have gained attention, but prevalence and severity estimates remain fragmented. Here we conducted a preregistered systematic review and multilevel meta-analysis (PROSPERO: CRD42024596813) to quantify psychological distress among ECRs. Scopus, Web of Science, ERIC and PubMed were searched through 28 October 2025, yielding 148 studies and four primary databases ( k = 228; N = 138,446). On the basis of validated case-identification thresholds, 29.9% (95% confidence interval, 26.1–33.9%) of ECRs report elevated psychological distress across all outcomes. Specifically, pooled estimates indicated that 29.8% (26.1–33.8%) reported elevated depressive symptoms, 29.7% (25.7–33.8%) anxiety symptoms, 28.3% (23.6–33.3%) eating disorder symptoms, 22.9% (18.4–27.9%) alcohol misuse, 18.6% (14.4–23.2%) non-suicidal self-injury and 18.8% (15.2–22.6%) suicidal ideation. The prevalence of depressive symptoms was approximately two to three times higher and anxiety symptoms three to five times higher than in age-matched general-population samples. Symptom severity estimates, capturing mean symptom levels on continuous scales, on average were ‘mild’ for depressive and anxiety symptoms and ‘moderate’ for stress. Moderator analyses showed that outcome and scale type accounted for the largest share of variance, whereas demographic and individual characteristics had limited associations with prevalence and severity estimates. These findings underscore the need for structural reforms and implementation of evidence-based support services for ECRs.

Verified 2026-11-11 · 2 references not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This preregistered systematic review and multilevel meta-analysis of 148 studies and four databases (228 samples; N = 138,446) estimates that 29.9% of early-career researchers report elevated psychological distress. Prevalence is markedly higher than in age-matched general-population samples, while study-level factors such as outcome type, measurement scale, sampling strategy and study quality explain more variance than demographic or individual factors.

Key findings

  • Across all outcomes, pooled prevalence of elevated psychological distress was 29.9% (95% CI 26.1–33.9%; k = 86). Pooled estimates were 29.8% (26.1–33.8%) for depressive symptoms, 29.7% (25.7–33.8%) for anxiety symptoms, 28.3% (23.6–33.3%) for eating disorder symptoms, 22.9% (18.4–27.9%) for alcohol misuse, 18.6% (14.4–23.2%) for non-suicidal self-injury and 18.8% (15.2–22.6%) for suicidal ideation.
  • Depressive symptom prevalence was approximately two to three times higher, and anxiety symptom prevalence three to five times higher, than in age-matched general-population samples (population estimates: 8–17% for depressive symptoms and 6–10% for anxiety symptoms).
  • Average symptom severity was “mild” for depressive and anxiety symptoms and “moderate” for stress. For the PHQ-9, pooled depressive symptom severity was 6.99 (95% CI 6.12–7.86); pooled PHQ-9/PHQ-8 depressive symptom prevalence was 28.5% (24.3–32.9), GAD-7 anxiety prevalence was 27.6% (23.4–31.9), and PHQ-9 item 9 suicidal ideation prevalence was 17.4% (13.8–21.4).
  • Outcome and scale type accounted for the largest share of variance (prevalence R² = 21.2% and 34.4%; severity R² = 48.7% and 53.5%). Higher study quality and random/full sampling were associated with lower prevalence and severity; COVID-19 prevalence was higher during the pandemic (34.2%; 29.4–39.2) than before (24.3%; 19.8–29.0) and remained elevated post-pandemic (33.3%; 26.0–41.0).

Methods

  • Preregistered systematic review and multilevel meta-analysis (PROSPERO: CRD42024596813; PRISMA 2020). Scopus, Web of Science, ERIC and PubMed were searched through 28 October 2025; 10,534 records were screened, yielding 148 records plus four databases, 228 samples and N = 138,446 (134,572 doctoral, 3,522 postdoctoral; status not reported for 352).
  • Included early-career researchers (predoctoral PhD students and postdoctoral researchers with ≤6 years postdoctoral experience). Prevalence used validated screening thresholds; severity used continuous summary scores converted to POMP scores (0–100). Three-level random-effects models used restricted maximum likelihood estimation and Knapp–Hartung adjustment; moderator analyses applied a 5% false discovery rate correction.
  • Risk of bias was assessed with the nine-item Joanna Briggs Institute checklist; overall study quality was low to moderate (M = 4.6; s.d. = 1.2; range 2.5–7.2). Publication bias was assessed with funnel plots and Egger’s regression tests.

Limitations

  • The paper states that primary-study quality varied greatly; only one study used external clinical-diagnostic interviews, random sampling was rare, and self-rating scales and convenience sampling likely inflate effect sizes. Postdoctoral ECRs made up less than 3% of the overall sample, some syndromes/symptoms drew exclusively on US studies or had limited evidence, and country clustering was exploratory.
  • The paper also states that many sample-level moderators were sparsely reported and moderator tests often lacked power; unmeasured individual factors (for example, impostor phenomenon) and longitudinal designs are needed.
  • Evident from the text: heterogeneity was high, with 95% prediction intervals of 0.2–71.1% for prevalence and 0.8–66.9% for severity; funnel plots indicated publication bias, confirmed by Egger’s test for severity but not prevalence; missing moderator data ranged from 5% to 58%; and some outcomes were dominated by the Healthy Minds Network (for example, non-suicidal self-injury 98.1%, eating disorder 90.9%, suicidal ideation 87.3%).

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41562-026-02505-5

Cites

180 of 182 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

82 Own result · 30 Check pending · 15 Own method · 15 Own interpretation · 14 Not checked yet · 9 No full text of the sources · 8 No basis given · 4 Partly supported · 1 Sources not found · accuracy not yet measured

Verify all 86 references — free account

Show all 94 claims

  • It may state two separate claims as one. 59
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 37
84 of 84
  • The paper relies on this without support.

    The samples included in the meta-analysis are representative of the broader population of early-career researchers.

    “Across all outcomes, nearly one in three ECRs reported elevated psychological distress”
  • The paper relies on this without support.

    The various mental health syndromes and symptoms can be meaningfully combined into a single overall 'psychological distress' prevalence estimate.

    “Across all outcomes, nearly one in three ECRs reported elevated psychological distress”
  • The paper relies on this without support.

    There has been a surge of research on mental health in early-career researchers since the COVID-19 pandemic.

    “In addition, there has been a surge of research on mental health in ECRs since the COVID-19 pandemic”
  • The paper relies on this without support.

    No meta-analysis so far has synthesized the more recent studies on mental health in early-career researchers since the COVID-19 pandemic.

    “but no meta-analysis so far has synthesized these more recent studies.”
  • The paper relies on this without support.

    Most ECRs work on short-term or part-time contracts that involve career uncertainty, frequent relocations and financial insecurity.

    “As a result, most ECRs work on short-term or part-time contracts that involve career uncertainty, frequent relocations and financial insecurity.”
  • The paper relies on this without support.

    Postdoctoral ECRs face slightly different challenges than doctoral students.

    “Second, postdoctoral ECRs made up less than 3% of the overall sample5,52,57,66,68,87–93, yet they face slightly different challenges than doctoral students, and thus, more research should be dedicated to this group.”
  • The paper relies on this without support.

    There is no universally standardized classification system for predoctoral and postdoctoral positions that groups countries on the basis of criteria such as funding schemes, duration, contract type, working hours or other relevant factors.

    “because there is no universally standardized classification system for predoctoral (for example, PhD candidates) and postdoctoral positions that groups countries on the basis of criteria such as funding schemes, duration, contract type, working hours or other relevant factors.”
7 of 7

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • ConsistentF(55, 296) = 9.61reported p < .001 · recomputed p < .001

    “F(55, 296) = 9.61, p < .001”

  • ConsistentF(100, 435) = 10.04reported p < .001 · recomputed p < .001

    “F(100, 435) = 10.04, p < .001”

  • ConsistentF(1, 350) = 2.58reported p = .109 · recomputed p = .109

    “F(1, 350) = 2.58, p = .109”

  • ConsistentF(1, 534) = 22.96reported p < .001 · recomputed p < .001

    “F(1, 534) = 22.96, p < .001”

4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

5 of 5

Citations

Cites

Show all 180 references

Research works printed but not linked: 25

  1. Keashly, L. & Neuman, J. H. Faculty experiences with bullying in higher education: causes, consequences, and management. Adm. Theory Prax. 32, 48–70 (2010).
  2. Léon, C., du Roscoät, E. & Beck, F. Prévalence des pensées suicidaires et tentatives de suicide chez les 18–85 ans en France: résultats du Baromètre santé 2021. Bull. Épidémiol. Hebd. 3, 42–56 (2024).
  3. Melián, E., Reyes, J. I. & Meneses, J. The online PhD experience: a qualitative systematic review. Int. Rev. Res. Open Distrib. Learn. 24, 137–158 (2023).
  4. Eisenberg, D., Golberstein, E. & Hunt, J. B. Mental health and academic success in college. B. E. J. Econom. Anal. Policy 9, 40 (2009).
  5. Sverdlik, A., Hall, N. C. & McAlpine, L. PhD imposter syndrome: exploring antecedents, consequences, and implications for doctoral well-being. Int. J. Dr. Stud. 15, 737–758 (2020).
  6. Talkhi, N., Ghavami, V., Jamali, M. R., Jamali, H. & Jamali, J. Relationship between minor psychiatric disorders and health literacy among students: a latent class regression. J. Health Lit. 5, 11–20 (2020).
  7. Frei, I. & Grund, C. Antecedents of overtime work: the case of junior academics. Ger. J. Hum. Resour. Manage. 34, 371–397 (2020).
  8. Newman, A., Donohue, R. & Eva, N. Psychological safety: a systematic review of the literature. Hum. Resour. Manage. Rev. 27, 521–535 (2017).
  9. Marais, G. A. B., Shankland, R., Haag, P., Fiault, R. & Juniper, B. A survey and a positive psychology intervention on French PhD student well-being. Int. J. Dr. Stud. 13, 109–138 (2018).
  10. Dhont, J. et al. Conducting research in radiation oncology remotely during the COVID-19 pandemic: coping with isolation. Clin. Transl. Radiat. Oncol. 24, 53–59 (2020).
  11. Gloria, C. T. & Steinhardt, M. A. Flourishing, languishing, and depressed postdoctoral fellows: differences in stress, anxiety, and depressive symptoms. J. Postdr. Aff. 3, 1–9 (2013).
  12. Acharya, V., Thomas Gil, M. & Acharya K, A. Impact of intrinsic motivation on psychological well-being of doctoral students—a multivariate analysis. Int. J. Dr. Stud. 19, 13 (2024).
  13. Anttila, H., Lindblom-Ylänne, S., Lonka, K. & Pyhältö, K. The added value of a PhD in medicine—PhD students’ perceptions of acquired competences. Int. J. High. Educ. 4, 172–180 (2015).
  14. Dumitrescu, G. A. Self-Efficacy, Locus of Control, Perceived Stress and Student Satisfaction as Correlates of Dissertation Completion (Andrews Univ., 2016).
  15. Park, K. E., Sibalis, A. & Jamieson, B. The mental health and well-being of master’s and doctoral psychology students at an urban Canadian university. Int. J. Dr. Stud. 16, 429–447 (2021).
  16. Pervez, A. et al. An empirical investigation of mental illness, impostor syndrome, and social support in management doctoral programs. J. Manage. Educ. 45, 126–158 (2021).
  17. Petruzziello, G., Soncini, A., Puzzo, G., Tomei, G. & Toscano, F. in Advances in Psychology Research Vol. 153 (ed Columbus, M.) 1–25 (Nova Science Publishers, 2024).
  18. Sellali, R. & El Houda Lahiouel, N. Predicting Algerian doctoral students’ academic burnout using the expectancy-value model: the effect of faculty attachment and years of enrolment. Int. J. Dr. Stud. 17, 513–532 (2022).
  19. Shillington, K., Labadie, T., Johnson, A. M. & Irwin, J. PROmoting resilience during GRADuate School and Beyond (PRO-GRAD): a motivational coaching intervention. Int. J. Evid. Based Coach. Mentor. 21, 232–249 (2023).
  20. Tommasi, F. et al. Meaningful or meaningless? Organizational conditions influencing doctoral students’ mental health and achievement. Int. J. Dr. Stud. 17, 301–321 (2022).
  21. Zhang, X., Fang, D. & Nayga, R. M. Mental health of PhD students in US agricultural economics departments. J. Agric. Resour. Econ. 50, 328–350 (2024).
  22. Bonetto, E. & Adam-Troian, J. The benefits of group identification for PhD candidates’ health and work. Psicol. Saber Soc. 11, 485–512 (2022).
  23. Rukmanee, N. et al. Prevalence of stress, anxiety, depression and associated risk factors among graduate students in the faculty of tropical medicine, Mahidol University. JITMM Proc. 12, 68–83 (2024).
  24. Kogien, M. et al. Prevalencia y correlatos de ideación suicida pasiva y activa en ingresantes de posgrado. Rev. Lat. Am. Enfermagem 31, e3980 (2023).
  25. Fernández-Castilla, B. et al. Visual representations of meta-analyses of multiple outcomes: extensions to forest plots, funnel plots, and caterpillar plots. Methodol. Eur. J. Res. Methods Behav. Soc. Sci. 16, 299–315 (2020).

Cited by

Sorted by citations

Metadata

Authors
Dreisoerner, A., Goetz, V., Frohnmayer, D., Tran, U. S., Voracek, M., & Nater, U. M.
Affiliations
University of Vienna (AT)
Corresponding author
  • Dreisoerner, Aljoscha
  • Nater, Urs M.
Venue
Nature Human Behaviour
Published
2026-06-29
Volume
10
Issue
9
Pages
1698-1717
ISSN
2397-3374 (ISSN-L)
OpenAlex
W7166568183
Cited by
2
References
180
Citations by year
2026: 2
FWCI
1.91
Type
journal article
Language
en
Open access
Locations
  • Nature Human Behaviour (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
Funders
Universität Wien
Topics
  • Social Sciences › Education › Doctoral Education Challenges and Solutions
  • Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Keywords
early-career researchers, mental health, psychological distress, depressive symptoms, anxiety symptoms, eating disorder symptoms, alcohol abuse, non-suicidal self-injury, suicidal ideation, prevalence, symptom severity, academic careers
MeSH terms
Psychological Distress, Anxiety, Feeding and Eating Disorders, Mental Disorders, Depression, Humans, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review