The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
The prevalence of personality disorders in the community: a global systematic review and meta-analysis
Open accessAbstract
Background: Personality disorders are now internationally recognised as a mental health priority. Nevertheless, there are no systematic reviews examining the global prevalence of personality disorders. Aims: To calculate the worldwide prevalence of personality disorders and examine whether rates vary between high-income countries and low- and middle-income countries (LMICs). Method: We systematically searched PsycINFO, MEDLINE, EMBASE and PubMed from January 1980 to May 2018 to identify articles reporting personality disorder prevalence rates in community populations (PROSPERO registration number: CRD42017065094). Results: A total of 46 studies (from 21 different countries spanning 6 continents) satisfied inclusion criteria. The worldwide pooled prevalence of any personality disorder was 7.8% (95% CI 6.1–9.5). Rates were greater in high-income countries (9.6%, 95% CI 7.9–11.3%) compared with LMICs (4.3%, 95% CI 2.6–6.1%). In univariate meta-regressions, significant heterogeneity was partly attributable to study design (two-stage v. one-stage assessment), county income (high-income countries v. LMICs) and interview administration (clinician v. trained graduate). In multiple meta-regression analysis, study design remained a significant predictor of heterogeneity. Global rates of cluster A, B and C personality disorders were 3.8% (95% CI 3.2, 4.4%), 2.8% (1.6, 3.7%) and 5.0% (4.2, 5.9%). Conclusions: Personality disorders are prevalent globally. Nevertheless, pooled prevalence rates should be interpreted with caution due to high levels of heterogeneity. More large-scale studies with standardised methodologies are now needed to increase our understanding of population needs and regional variations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PRISMA-P Group, Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015) · Systematic Reviews · doi:10.1186/2046-4053-4-1 · Cited by 26,223
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
The worldwide prevalence of ADHD: a systematic review and metaregression analysis
Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J., & Rohde, L. A. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.6.942 · Cited by 5,346
Polanczyk, G. V., Salum, G. A., Sugaya, L. S., Caye, A., & Rohde, L. A. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12381 · Cited by 3,990 · cited 2×
“14,36 It has previously been noted that heterogeneity statistics are sensitive to factors present in psychiatric epidemiology reviews.”
How should meta‐regression analyses be undertaken and interpreted?
Thompson, S. G., & Higgins, J. P. T. (2002) · Statistics in Medicine · doi:10.1002/sim.1187 · Cited by 3,026
The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu038 · Cited by 2,846 · cited 5×
“36 Second, only one of our a priori selected covariates had a significant impact on the variability of estimates in the multiple meta-regression.”
Influentialvan Os, J., Linscott, R. J., Myin-Germeys, I., Delespaul, P., & Krabbendam, L. (2009) · Psychological Medicine · doi:10.1017/s0033291708003814 · Cited by 2,343
Metaprop: a Stata command to perform meta-analysis of binomial data
Nyaga, V. N., Arbyn, M., & Aerts, M. (2014) · Archives of Public Health · doi:10.1186/2049-3258-72-39 · Cited by 2,139
Global prevalence of anxiety disorders: a systematic review and meta-regression
Baxter, A. J., Scott, K. M., Vos, T., & Whiteford, H. A. (2013) · Psychological Medicine · doi:10.1017/s003329171200147x · Cited by 1,537
Munn, Z., Moola, S., Riitano, D., & Lisy, K. (2014) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2014.71 · Cited by 1,479 · cited 2×
“critically appraised full text articles using an adapted version of the Joanna Briggs Institute Critical Appraisal Tool for prevalence reviews.(25) Each study was rated (0 = study did not satisfy category or it could not be determined; 1=study satisfied the category).”
Cited by
Psychological therapies for people with borderline personality disorder
Storebø, O. J., Stoffers-Winterling, J. M., Völlm, B. A., Kongerslev, M. T., Mattivi, J. T., Jørgensen, M. S., Faltinsen, E., Todorovac, A., Sales, C. P., Callesen, H. E., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012955.pub2 · Cited by 450
Zhao, R., Amanvermez, Y., Pei, J., Castro‐Ramirez, F., Rapsey, C., Garcia, C., Ebert, D. D., Haro, J. M., Fodor, L. A., David, O. A., et al. (2025) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.14145 · Cited by 110
van Schie, C. C., Jarman, H. L., Reis, S., & Grenyer, B. F. S. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03249-4 · Cited by 31
The development of narrative identity and the emergence of personality disorders in adolescence
Shiner, R. L., Klimstra, T. A., Denissen, J. J., & See, A. Y. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.07.024 · Cited by 23
Crișan, Ş., Stoia, M., Predescu, E., Miu, A. C., & Szentágotai‐Tătar, A. (2023) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2856 · Cited by 21
Metadata
- Authors
- Winsper, C., Bilgin, A., Thompson, A., Marwaha, S., Chanen, A. M., Singh, S. P., Wang, A., & Furtado, V.
- Venue
- The British Journal of Psychiatry
- Publisher
- Royal College of Psychiatrists
- Published
- 2019-07-12
- Volume
- 216
- Issue
- 2
- Pages
- 69-78
- ISSN
- 0007-1250 (ISSN-L)
- 1472-1465
- OpenAlex
- W2955351388
- Cited by
- 346
- References
- 86
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The prevalence of personality disorders in the community: a global systematic review and meta-analysis. https://app.cochat.ai/papers/10.1192/bjp.2019.166
- The paper
- Winsper, C., Bilgin, A., Thompson, A., Marwaha, S., Chanen, A. M., Singh, S. P., Wang, A., & Furtado, V. (2020). The prevalence of personality disorders in the community: a global systematic review and meta-analysis. The British Journal of Psychiatry. https://doi.org/10.1192/bjp.2019.166
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.