The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
Income inequality and mental illness-related morbidity and resilience: a systematic review and meta-analysis
Open accessAbstract
Background Studies of the association between income inequality and mental health have shown mixed results, probably due to methodological heterogeneity. By dealing with such heterogeneity through a systematic review and meta-analysis, we examine the association between income inequality, mental health problems, use of mental health services, and resilience (defined as the ability to cope with adversity).Methods We searched the Global Health, PsychARTICLES, PsycINFO, Social Policy and Practice, Embase and MEDLINE databases up to July 6, 2016, for quantitative studies of the association of income inequality with prevalence or incidence of mental disorders or mental health problems, use of mental health services, and resilience. Eligible studies used standardised instruments at the individual level, and income inequality at the aggregated, contextual, and ecological level. We extracted study characteristics, sampling, exposure, outcomes, statistical modelling, and parameters from articles. Because several studies did not provide enough statistical information to be included in a meta-analysis, we did a narrative synthesis to summarise results with studies categorised as showing either a positive association, mixed results, or no association. The primary outcome in the random-effects meta-analysis was mental health-related morbidity, defined as the prevalence or incidence of any mental health problem. This study is registered with PROSPERO, number CRD42016036377.Findings Our search identified 15 615 non-duplicate references, of which 113 were deemed potentially relevant and were assessed for eligibility, leading to the inclusion of 27 studies in the qualitative synthesis. Nine articles found a positive association between income inequality and the prevalence or incidence of mental health problems; ten articles found mixed results, with positive association in some subgroups and non-significant or negative association in other subgroups; and eight articles found no association between income inequality and mental health problems. Of the nine articles included in our meta-analysis, one reported a positive association between income inequality and mental health problems, six reported mixed results, and two reported no association. Pooled Cohen's d effect sizes for the association between income inequality and any mental disorder or mental health problems were 0·06 (95% CI 0·01-0·11) for any mental disorder, and 0·12 (0·05-0·20) for depressive disorders. Our meta-regression analysis showed that none of the factors considered (sample size, contextual level at which income inequality was assessed, quality assessment, type of instruments, and individual income as control variable) explained heterogeneity between studies (I 2 89·3%; p<0·0001). Only one study investigated the association between income inequality and resilience; it found greater income inequality was associated with higher prevalence of depression only among individuals with low income. The only study of the role of income inequality as a determinant of the use of mental health services reported no association.Interpretation Income inequality negatively affects mental health but the effect sizes are small and there is marked heterogeneity among studies. If this association is causal and growing income inequality does lead to an increase in the prevalence of mental health problems, then its reduction could result in a significant improvement in population wellbeing.Funding None.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Nonetheless, there is evidence indicating an association between higher income inequality and negative mental health outcomes (Ribeiro et al., 2017).”
From Social media use, economic recession and income inequality in relation to trends in youth suicide in high-income countries: a time trends analysis (2020) · cites this paper as Ribeiro et al., 2017
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
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006
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
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
Estimating the true global burden of mental illness
Vigo, D., Thornicroft, G., & Atun, R. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00505-2 · Cited by 2,494
Income inequality and population health: A review and explanation of the evidence
Wilkinson, R. G., & Pickett, K. E. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.08.036 · Cited by 1,786
Social determinants of mental health
Allen, J., Balfour, R., Bell, R., & Marmot, M. (2014) · International Review of Psychiatry · doi:10.3109/09540261.2014.928270 · Cited by 1,411
Social capital and mental illness: a systematic review
Silva, M. J. D., McKenzie, K. J., Trudy Harpham, C., & Huttly, S. R. A. (2005) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2004.029678 · Cited by 1,073
Income Inequality and Health: What Have We Learned So Far?
Subramanian, S. V. (2004) · Epidemiologic Reviews · doi:10.1093/epirev/mxh003 · Cited by 901
Income inequality, mortality, and self rated health: meta-analysis of multilevel studies
Kondo, N., Sembajwe, G. N., Kawachi, I. I., van Dam, R. M., Subramanian, S. V., & Yamagata, Z. (2009) · BMJ · doi:10.1136/bmj.b4471 · Cited by 741
Guidance on the conduct of narrative synthesis in sytematic reviews
Popay, J., Roberts, H. M., Sowden, A. J., Petticrew, M. P., Arai, L., Rodgers, M., & Britten, N. (2006) · Cited by 690
Research works printed but not linked: 2
- Fan, 2011, State-level socioeconomic factors are associated with current depression among U.S. adults in 2006 and 2008, J Public Health Epidemiol, 3, 462
- Chiavegatto Filho, 2013, Does income inequality get under the skin? Depression, anxiety and mental disorders in Sao Paulo, Brazil, Am J Epidemiol, 177, S153
Cited by
Sorted by citations
Patel, V., Burns, J. K., Dhingra, M., Tarver, L., Kohrt, B. A., & Lund, C. (2018) · World Psychiatry · doi:10.1002/wps.20492 · Cited by 582
COVID-19 and mental health in Brazil: Psychiatric symptoms in the general population
Goularte, J. F., Serafim, S. D., Colombo, R., Hogg, B., Caldieraro, M. A., & Rosa, A. R. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.09.021 · Cited by 282
Walter, H. J., Abright, A. R., Bukstein, O. G., Diamond, J., Keable, H., Ripperger-Suhler, J. A., & Rockhill, C. (2022) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.10.001 · Cited by 221
“…circumstances in the family (particularly emotional abuse 34 and unattuned/unsupportive parenting styles [eg, passive/ withdrawn or discordant 35 ]), to societal issues such as poverty, 36 income inequality, 37 racial/ethnic 38 and other forms of discrimination, 39 and acculturation stress.”
BackgroundTibber, M. S., Walji, F., Kirkbride, J. B., & Huddy, V. C. (2021) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-021-02159-w · Cited by 126
Rong, J., Wang, X., Cheng, P., Li, D., & Zhao, D. (2025) · The British Journal of Psychiatry · doi:10.1192/bjp.2024.266 · Cited by 117
“These patterns were consistent across genders and were similar for depressive disorder incidence and prevalence (Supplementary Figs 14 and 15, Supplementary Tables 8 and 9).”
Metadata
- Authors
- Ribeiro, W. S., Bauer, A., Andrade, M. C. R., York-Smith, M., Pan, P. M., Pingani, L., Knapp, M., Coutinho, E. S. F., & Evans-Lacko, S.
- Affiliations
- London School of Economics and Political Science (GB)
- Universidade Federal de São Paulo (BR)
- University of Modena and Reggio Emilia (IT)
- Escola Nacional de Saúde Pública Sergio Arouca (BR)
- Corresponding author
- Ribeiro, Wagner Silva
- ORCID
- Venue
- The Lancet Psychiatry
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 4
- Issue
- 7
- Pages
- 554-562
- ISSN
- 2215-0366 (ISSN-L)
- OpenAlex
- W2618040738
- Cited by
- 240
- References
- 52
- Citations by year
- 2026: 19 · 2025: 36 · 2024: 40 · 2023: 31 · 2022: 37 · 2021: 34 · 2020: 19 · 2019: 11 · 2018: 9 · 2017: 3
- FWCI
- 1.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
- UNIFESP Institutional Repository (Universidade Federal de São Paulo) (submittedVersion)
- Funders
- European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Employment and Welfare Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- income inequality, mental health, resilience, mental health service utilization, depressive disorders, socioeconomic status, personal income, methodological heterogeneity, coping with adversity, mental health promotion and prevention
- MeSH terms
- Adolescent, Adult, Aged, Mental Disorders, Child, Depression, Female, Humans, Income, Male, Mental Health, Middle Aged, Morbidity, Public Policy, Socioeconomic Factors, Incidence, Prevalence, Young Adult
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