Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms.

Journal: World psychiatry : official journal of the World Psychiatric Association (WPA)

Volume: 17

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA. Institute of Health Research, University of Exeter, Exeter, UK. Ashoka University, Sonepat, Rai, Haryana, India. Department of Psychiatry, Massachusetts General Hospital and McLean Hospital, Harvard Medical School, Boston, MA, USA. Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA. Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Abstract summary 

Most countries have witnessed a dramatic increase of income inequality in the past three decades. This paper addresses the question of whether income inequality is associated with the population prevalence of depression and, if so, the potential mechanisms and pathways which may explain this association. Our systematic review included 26 studies, mostly from high-income countries. Nearly two-thirds of all studies and five out of six longitudinal studies reported a statistically significant positive relationship between income inequality and risk of depression; only one study reported a statistically significant negative relationship. Twelve studies were included in a meta-analysis with dichotomized inequality groupings. The pooled risk ratio was 1.19 (95% CI: 1.07-1.31), demonstrating greater risk of depression in populations with higher income inequality relative to populations with lower inequality. Multiple studies reported subgroup effects, including greater impacts of income inequality among women and low-income populations. We propose an ecological framework, with mechanisms operating at the national level (the neo-material hypothesis), neighbourhood level (the social capital and the social comparison hypotheses) and individual level (psychological stress and social defeat hypotheses) to explain this association. We conclude that policy makers should actively promote actions to reduce income inequality, such as progressive taxation policies and a basic universal income. Mental health professionals should champion such policies, as well as promote the delivery of interventions which target the pathways and proximal determinants, such as building life skills in adolescents and provision of psychological therapies and packages of care with demonstrated effectiveness for settings of poverty and high income inequality.

Authors & Co-authors:  Patel Vikram V Burns Jonathan K JK Dhingra Monisha M Tarver Leslie L Kohrt Brandon A BA Lund Crick C

Study Outcome 

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Statistics
Citations :  Davies J, Lluberas R, Shorrocks A. Credit Suisse Global Wealth Databook 2016. Zurich: Credit Suisse Research Institute, 2016.
Authors :  6
Identifiers
Doi : 10.1002/wps.20492
SSN : 1723-8617
Study Population
Women
Mesh Terms
Other Terms
Income inequality;depression;low-income populations;neo-material hypothesis;psychological stress;social capital;social comparison;social defeat
Study Design
Longitudinal Study,Cross Sectional Study
Study Approach
Systemic Review
Country of Study
Publication Country
Italy