Title |
Interventions to mitigate the effects of poverty and inequality on mental health
|
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Published in |
Social Psychiatry and Psychiatric Epidemiology, March 2017
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DOI | 10.1007/s00127-017-1370-4 |
Pubmed ID | |
Authors |
Kristian Wahlbeck, Johanna Cresswell-Smith, Peija Haaramo, Johannes Parkkonen |
Abstract |
To review psychosocial and policy interventions which mitigate the effects of poverty and inequality on mental health. Systematic reviews, controlled trials and realist evaluations of the last 10 years are reviewed, without age or geographical restrictions. Effective psychosocial interventions on individual and family level, such as parenting support programmes, exist. The evidence for mental health impact of broader community-based interventions, e.g. community outreach workers, or service-based interventions, e.g. social prescribing and debt advice is scarce. Likewise, the availability of evidence for the mental health impact of policy level interventions, such as poverty alleviation or youth guarantee, is quite restricted. The social, economic, and physical environments in which people live shape mental health and many common mental disorders. There are effective early interventions to promote mental health in vulnerable groups, but it is necessary to both initiate and facilitate a cross-sectoral approach, and to form partnerships between different government departments, civic society organisations and other stakeholders. This approach is referred to as Mental Health in All Policies and it can be applied to all public policy levels from local policies to supranational. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 3 | 15% |
United Kingdom | 2 | 10% |
Japan | 2 | 10% |
Kenya | 1 | 5% |
France | 1 | 5% |
Netherlands | 1 | 5% |
Germany | 1 | 5% |
Sweden | 1 | 5% |
Unknown | 8 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 55% |
Scientists | 4 | 20% |
Science communicators (journalists, bloggers, editors) | 3 | 15% |
Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 388 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 61 | 16% |
Researcher | 45 | 12% |
Student > Ph. D. Student | 43 | 11% |
Student > Bachelor | 31 | 8% |
Student > Doctoral Student | 22 | 6% |
Other | 60 | 15% |
Unknown | 126 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 65 | 17% |
Psychology | 45 | 12% |
Medicine and Dentistry | 43 | 11% |
Nursing and Health Professions | 42 | 11% |
Economics, Econometrics and Finance | 13 | 3% |
Other | 29 | 7% |
Unknown | 151 | 39% |