Editorial: The pernicious relationship between social determinants and mental health disorders (original) (raw)
Related papers
Editors’ Comments on the Special Issue “Social Determinants of Mental Health”
International Journal of Environmental Research and Public Health
Mental disorders are one of the greatest public health concerns of our time, and they are affected by social factors. To reduce the considerable burden of mental disorders, more global and systematic knowledge of the social determinants of mental health is necessary. This paper presents the results of the 27 studies included in the International Journal of Environmental Research and Public Health Special Issue, “Social Determinants of Mental Health”. The studies are grouped into four broad categories: social inclusion and mental health, young people’s mental health, mental health at work, and mental health service users. The results cover different countries, age populations, settings, and methodologies. Finally, the main findings on the relationship between social determinants and mental health are presented and summarized.
Social determinants of mental health
International Review of Psychiatry, 2014
, who generously contributed their wisdom. JoAnne Epping-Jordan (Seattle, USA) served as editorial manager of the overall series of thematic papers. All thematic papers were produced under the overall guidance of the Gulbenkian Global Mental Health Platform's Advisory and Steering Committees (below).
The Social Determinants of Mental Health
Professional Case Management, 2021
T he health care industry remains fixated on the social determinants of health (SDoH), the nonclinical psychosocial and socioeconomic circumstances that contribute to health outcomes. The five long-standing SDoH domains were updated for Healthy People 2030 (U.S. Department of Health & Human Services, 2020a) at the end of 2020 and continue to top the priority list for every organization: 1. Economic stability 2. Education access and quality 3. Health care access and quality 4. Neighborhood and built environment 5.
Interventions to mitigate the effects of poverty and inequality on mental health
Soc Psychiatry Psychiatr Epidemiol, 2017
Purpose: To review psychosocial and policy interventions which mitigate the effects of poverty and inequality on mental health. Methods: Systematic reviews, controlled trials and realist evaluations of the last 10 years are reviewed, without age or geographical restrictions. Results: 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. Conclusions: 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.
Socioeconomic gradients and mental health: implications for public health
The British journal of psychiatry : the journal of mental science, 2015
Background Research on mental well-being is relatively new and studies of its determinants are rare. Aims To investigate whether the socioeconomic correlates of mental well-being mirror those for mental illness. Method Using logistic regression analyses, the independent odds ratios of high and low mental well-being, compared with middle-range mental well-being, were estimated for a number of sociodemographic variables known to be associated with mental illness from 13 983 participants in the 2010 and 2011 Health Surveys for England. Results Independent odds ratios for low mental well-being were as expected from studies of mental illness with increased odds for the unemployed (OR = 1.46, 95% CI 1.01-2.10) and those aged 35-54 years (OR = 1.58, 95% CI 1.35-1.84) and reduced odds for the married (OR = 0.78, 95% CI 0.62-0.97). A linear trend was observed with education and equivalised income. Odds ratios for high mental well-being differed from those for low mental well-being with regar...
Socioeconomic Status and Mental Illness: Tests of the Social Causation and Selection Hypotheses
American Journal of Orthopsychiatry, 2005
This study tests several hypotheses about the underlying causal structure of the inverse correlation between socioeconomic status (SES) and mental illness. It does this through the analysis of a longitudinal statewide database on acute psychiatric hospitalization in Massachusetts for the fiscal years 1994-2000 as well as supplemental census data. The modeling strategy used techniques of structural equation modeling and found that SES impacted directly on rates of mental illness as well as indirectly through the impact of economic hardship on low and middle income groups.
BMC Public Health
Background Social circumstances in which people live and work impact the population’s mental health. We aimed to synthesise evidence identifying effective interventions and policies that influence the social determinants of mental health at national or scaled population level. We searched five databases (Cochrane Library, Global Health, MEDLINE, EMBASE and PsycINFO) between Jan 1st 2000 and July 23rd 2019 to identify systematic reviews of population-level interventions or policies addressing a recognised social determinant of mental health and collected mental health outcomes. There were no restrictions on country, sub-population or age. A narrative overview of results is provided. Quality assessment was conducted using Assessment of Multiple Systematic Reviews (AMSTAR 2). This study was registered on PROSPERO (CRD42019140198). Results We identified 20 reviews for inclusion. Most reviews were of low or critically low quality. Primary studies were mostly observational and from higher...
Social inequality and common mental disorders
Revista Brasileira de Psiquiatria, 2007
OBJECTIVE: To analyze the association between the socioeconomic characteristics of individuals and common mental disorders. METHOD: A cross-sectional survey of a representative sample of the urban population, 14 years and older, in Campinas (Brazil) (n = 515) was conducted using a multipurpose instrument that included the Self-Reporting Questionnaire (SRQ-20) to assess common mental disorders in the previous 3 months. Weighted prevalence of common mental disorders was calculated for each independent variable. Crude and adjusted prevalence ratios were estimated using Poisson regression. RESULTS: The overall prevalence was 17% (95% CI 12.8-22.3), 8.9% in males and 24.4% in females. An inverse association was found between common mental disorders and the socioeconomic characteristics (schooling and employment) even after controlling for all the other variables. Higher common mental disorders prevalence was observed in those with less than 5 years of schooling (PR = 5.5) and unemployed ...
International Journal of Environmental Research and Public Health
This study looks into the relationship between mental health and social exclusion scenarios, paying special attention to employment-related factors. Previous studies have shown the relationship between mental health, social exclusion and poverty. For this study, authors have used data from the VIII Report on social development and exclusion in Spain, with a sample of 11,655 households. The SPSS Statistics programme was used for statistical analysis. Several factors that could pose a risk or be a protection for the presence of mental health conditions were designed. By means of a binary logistic regression the impact of these factors on mental health issues was scored. The results show that a deteriorated social network and a negative interpretation of reality are the most influential factors related to the presence of mental health conditions in a given household. On the contrary, positive social relationships protect households and function as a support when mental health condition...
2021
There has been a significant increase in the number of children and teens experiencing mental health issues globally. Good mental health is linked inextricably to physical health and integral to overall wellbeing. Mental health can be shaped significantly by one’s social, economic, and local environment, particularly during the childhood and adolescent years. Social inequalities that begin in childhood and adolescence can affect individuals over the life course. They can also be perpetuated from generation to generation. Addressing these inequalities early on is key. In this review article, we discuss the associations between childhood mental health and specific social determinants including poverty, food security/nutrition, neighborhood/community, trauma, and racism. We also discuss possible global strategies to address these determinants to improve mental health.