Social Determinants Of Mental Health Research Articles

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

A history of the community mental health movement and individuals with serious mental illness: A vision for the future.

The history of the development of the Global Alliance for Behavioral Health and Social Justice was founded on understanding the social determinants of mental health and society and the necessity for multiple disciplines to organize advocacy for human rights and social justice. This led way to a wide cross-section of disciplines working together to engage at the policy level, in legislation, and within community settings as the Community Mental Health Movement developed and made a path for the reformation of many forms within the mental health field. This article reviews some of that interesting history and the importance of understanding those fundamental roots as we also look at the future for what is next in advocacy, social justice action, and policy directions for advancing the lives of those with serious mental illness, who face some of the most oppressive forms of marginalization and rejection of human rights and citizenship. This article will outline social justice action agendas for the organization and diverse collaborative fields to pursue as we embark upon the future and envision the full rights of citizenship for those with serious mental illness. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Social Determinants of Mental Health in Depression: Comparison of Relative Impact on Prevalence of Major Depressive Disorder

Social Determinants of Mental Health in Depression: Comparison of Relative Impact on Prevalence of Major Depressive Disorder

Victimisation in the life of persons with severe mental illness in Uganda: a pluralistic qualitative study.

Victimisation of persons with severe mental illness is recognised as an urgent global concern, with literature pointing to higher rates of violent victimisation of persons with severe mental illness than those of the general population. Yet, for low income countries, there is a huge gap in the literature on the risk, character and victims' in-depth experiences of victimisation of persons with severe mental illness. We explore the lived experiences and meanings of victimisation of persons with severe mental illness in Uganda, and discuss their implications for care of the mentally ill. A pluralistic qualitative study was undertaken to explore victimisation among patients with severe mental illness. Patients who had suffered victimisation were purposively sampled from Butabika National Referral Mental Clinic and Masaka Regional Referral Hospital, following confirmation of symptom remission. In-depth interviews were held with 18 participants, comprising 13 females and 5 males from low to moderate socioeconomic status. Interpretative phenomenological analysis and thematic content analysis were conducted. Victimisation was exhibited in three main forms: (a) psychological, expressed in attitudes towards mentally ill family members as valueless and dispensable, and stigmatisation, (b) physical, as manifested in beatings, indoor confinement and tethering mostly by family members and (c) sexual victimisation, particularly rape. Also observed were victim's various responses that pointed to the negative impact of victimisation, including a heightened risk of suicide, social withdrawal, a sense of hatefulness and a predisposition to more victimisation. The family environment plays a predominant role in perpetrating victimisation of the mentally ill in some sub-Saharan African contexts such as Uganda. We propose a holistic framework for mental health interventions, incorporating biomedical but notably also social determinants of mental health, and targeted at improving familial relationships, social support and a sense of belongingness both within the family and the broader community.

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain

BackgroundCovid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)—a multifaceted construct that measures a person’s socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.MethodsFollowing PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into ‘actual versus perceived’ and ‘static versus fluid’ classes to explore their differential effects on emotional health.ResultsOut of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed ‘expected’ results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.ConclusionsThis review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

Cultural assimilation of adult Syrian refugees in Lebanon: Effect modification by religiosity and sex on the relation between cultural adversities and common mental health disorders.

In this study, we aimed to explore the prevalence and determinants of common mental health disorders (CMHDs, posttraumatic stress disorder [PTSD], depression, and anxiety) in Syrian refugees in Lebanon. Specifically, we examined how the associations between cultural adversities (discrimination, unemployment, and separation from family) and CMHDs are modified by levels of religiosity and sex. Between March and June 2017, a cross-sectional study was conducted targeting adult Arab Syrian refugees residing in Beirut and Southern Lebanon. Eligibility criteria comprised being a United Nations High Commissioner for Refugees-registered Syrian refugee residing in Lebanon, 18 years and older, and having no history of mental disorder or physical disability. A total of 191 refugees agreed to participate and complete a battery of six questionnaires. Exposures were measured using a sociodemographic questionnaire, the Postmigration Living Difficulties Checklist, the Harvard Trauma Questionnaire, and the Belief into Action Scale, while outcomes were measured using the Posttraumatic Stress Disorder Checklist for DSM-5 and the Depression and Anxiety Scale-21 Items. Half (50.3%) of our sample had high PTSD risk, 73.8% had high depression risk, and 73.8% had high anxiety risk. Stratified analysis revealed religiosity and sex to be effect modifiers of the associations between cultural adversities and CMHDs. Specifically, cultural adversities were only significantly associated with CMHDs in the low religiosity stratum and males. Only unemployment was a significant risk factor for PTSD in both males (OR = 4.53, 95% CI [1.44, 14.27]) and females (OR = 2.77, 95% CI [1.14, 6.74]). Religiosity and sex are effect modifiers of the associations between cultural adversities and CMHDs. Religious and spiritual interventions in mental health care should be adopted in refugee settings. Moreover, there is an urgent need for capacity-building initiatives addressing social determinants of mental health among Syrian refugees in Lebanon. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

[Social Determinants of Mental Health among Refugees in Germany - The Influence of Postmigratory Social Isolation and Resources on Psychopathology and Utilization Behavior].

The mental health of refugees is influenced by a variety of pre-, peri- and postmigratory factors. It remains largely unclear how social determinants influence the utilization of psychiatric-psychotherapeutic treatment. We applied a questionnaire survey to 189 refugees from a clinical sample in a psychiatric hospital and from a control sample, which was not in treatment. The influence of social factors on psychopathology and utilization of care was analyzed by means of a CHAID algorithm. The total sample was highly stressed (54% PTSD and 41.4% depression symptoms). Patients were more severely affected in all psychometric scales as well as in traumatization and they were less able to draw on resources such as a social network or residence permit. The strongest predictor for psychotherapeutic-psychiatric treatment was social isolation in the living environment. For patients, the lack of a work permit was the strongest predictor of depression symptoms. The results point to the importance of postmigratory social determinants for the mental health of refugees. In particular, stable social relationships, together with formal factors such as work permit and residence title, should help to reduce mental distress and the need for psychiatric treatment.

Assessing social determinants of mental health: Client experiences and counselor practices

AbstractIncreasing socioeconomic challenges and their impacts on mental health support the importance of assessing clients’ social determinants of mental health (SDMH) challenges. We examined counseling clients’ (N = 390) experiences with SDMH assessment in counseling using the Client Perceptions of SDMH Assessment Scale (CP‐SDMH). Confirmatory factor analysis confirmed a three‐factor structure for the CP‐SDMH. Results suggest potential biases in SDMH assessment practices. Clients reported that SDMH assessment most often occurred verbally and in relation to health and economic issues. Disparities emerged, indicating higher assessment frequency for Black/African American clients compared to White clients, and lower SDMH assessment rates for clients in specific settings, such as private practices. Furthermore, results indicate a significant positive correlation between assessment of SDMH challenges and client satisfaction. Implications for counseling and future research are discussed.

Migration-Related Stress Among Haitians: Cross-Cultural Translation of the Demands of Immigration Scale

Background and Purpose:Although the Haitian population in the United States continues to grow, there is a lack of instruments in Haitian Creole to assess risk factors associated with poor mental health such as migration-related stress. This study described the translation of the Demands of Immigration Scale (DIS) and evaluated psychometric properties, meaning equivalence, and understandability of the Haitian Creole/English DIS.Methods:I applied the Functional Assessment of Chronic Illness Therapy translation procedures and recruited 76 first-generation Haitian immigrants to pilot test the DIS.Results:Reliability was strong (α > .93). Meaning equivalence was maintained (r= .979), 75% understood both DIS versions equally, and 80% rated the translation as excellent/good. The DIS significantly correlated with gender, income, age, age at migration, English fluency, and depression.Conclusions:The DIS can reliably identify immigration-related social determinants of mental health and is ready for use in Haitian Creole.

Social determinants of mental health in major depressive disorder: Umbrella review of 26 meta-analyses and systematic reviews

There is a growing recognition of the impact of social determinants of mental health (SDoMHs) on people with, or at risk of, developing serious mental illnesses. Yet it is not known how associations of individual SDoMHs with risk for major depressive disorder (MDD) vary and roughly compare with one another. Following PRISMA guidelines, this umbrella review included 26 meta-analyses and systematic reviews that reported odds ratios, effect sizes, and/or pooled prevalence rates of MDD in samples with versus without specified SDoMHs. Childhood emotional, physical, or sexual abuse and neglect; intimate partner violence in females; and food insecurity were significantly associated with increased risk of MDD, with medium effect sizes. Natural disasters, terrorist acts, and military combat during deployment had small-size adverse effects, and homelessness, incarceration, and migration were associated with significantly elevated prevalence of MDD. Conversely, higher levels of parental care were significantly associated with reduced risk of MDD with medium effect sizes. Evidence supports the use of certain interventions at the individual and community level that can reduce the impact of these factors and promote health, although much more research is warranted in this area along with meaningful healthcare and societal policies to accomplish this goal.

Study protocol for a systematic review of the social determinants of mental health and well-being of older migrants aged 50 years and above

Background Migration is a milestone event in a person’s life, bringing with it the challenges of settling down in an unfamiliar environment. The age at which migration takes place and the way migrants negotiate their old and new world significantly impacts their mental health. Thus, this systematic review seeks to analyse and summarize existing research detailing the contexts in which people migrate later in life and the associations between these contexts and social determinants of their mental health and well-being. Methods Seven databases including PsycINFO, Web of Science, PubMed, Applied Social Sciences Index, Abstracts: ASSIA, Ageline, CINAHL, and Informit will be searched systematically for original journal articles published in English. In the first screening stage, the first reviewer (PB) will screen all titles and abstracts and mark all potentially eligible texts for full-text screening. The second reviewer (HM) will review the decisions made. Any potential conflicts will be resolved with discussion. Afterward, full texts of potentially eligible studies will be assessed for eligibility by two reviewers (PB and HM). The methodological quality (or risk of bias) of individual studies will be appraised using the Mixed Method Appraisal Tool. The thematic synthesis of the data will be performed using a hybrid approach incorporating deductive (framed against a customised social determinants of health framework) and inductive data-driven processes. The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (Reg: CRD42022359881).

What words can tell us about social determinants of mental health: A multi-method analysis of sentiment towards migration experiences and community life in Lima, Perú.

To support resilience in contexts of migration, a deeper understanding of the experiences of both receiving communities and migrants is required. Research on the impacts of migration on community life is limited in contexts with high internal migration (i.e., migrating within one's country of origin). Evidence suggests that cultural similarity, community relationships, and access to resources may be protective factors that could be leveraged to support the mental health of internal migrants. The current study uses data drawn from a sample of pregnant Peruvian women (N = 251), 87 of whom reported being internal migrants and 164 of whom reported being from the locale of the study (Lima, Perú). The aim was to better understand the social experience of internal migration for both local and migrant women. Inductive thematic analysis was used to examine migration experience and perceived impact of migration on community life. Internal migrants discussed three themes relative to their experiences: motivations, adjustment, and challenges. Experiences of women in receiving communities consisted of four themes related to migration: positive, negative, neutral, and mixed perceptions. Linguistic Inquiry and Word Count (LIWC-22) software was also used to assess sentiment towards migration. Across both analytic methods, migration motivations and perceptions were multifaceted and migrants reported a wide range of challenges before, during, and after migration. Findings indicated that attitudes toward migration are broadly positive, and that there is a more positive appraisal of migration's impact on the community life for internal as opposed to international migration.

Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project

ObjectivesTo understand the extent to which various demographic and social determinants predict mental health status and their relative hierarchy of predictive power in order to prioritise and develop population-based preventative...

Life Satisfaction Factors, Stress, and Depressive Symptoms among Young Women Living in Urban Kampala: Findings from the TOPOWA Project Pilot Studies.

Young women living in Kampala, Uganda, often face adversities related to Social Determinants of Mental Health (SDoMH) including poverty, food scarcity, environmental stressors such as high levels of community violence, and lack of adequate healthcare access. Two consecutive pilot studies were conducted to assess the feasibility and acceptability of survey questions, wearable fitness trackers, and daily diaries before launching a larger prospective cohort study. Preliminary associations between SDoMH factors with depressive symptoms, stress levels, and life satisfaction were examined among the total sample of 60 women across two pilot studies. A total of 32.2% of respondents (out of n = 59) reported being depressed most or all of the time in the past 30 days. Frequent depressive symptoms correlated with food insecurity (χ2 = 5.38, df = 1, p = 0.02). Higher stress levels were significantly associated with lower overall life satisfaction scores (t = 2.74, df = 6.20, p = 0.03). Additionally, frequent depressive symptoms were associated with lower satisfaction scores in the living conditions and lifestyle domain (t = 2.22, df = 36.18, p = 0.03). However, overall life satisfaction scores and other domains (social relationships and personal independence) were not statistically associated with frequent depressive symptoms. Identifying the most impactful SDoMH factors among young women in Kampala can inform targeted approaches to improve mental health outcomes.

Training psychologists to address social determinants of mental health.

Training psychologists to address social determinants of mental health.

Measuring culturally and contextually specific distress among Afghan, Iraqi, and Great Lakes African refugees.

Culturally and contextually valid measurement of psychological distress is critical, given the increasing numbers of forcibly displaced people and transnational migration. This study replicates an inductive process that elicited culturally specific expressions, understandings, and idioms of distress among Afghans to develop culturally specific measures of distress for Great Lakes Africans and Iraqis and expands this methodology to include a focus on the contexts of refugees resettled in the United States. To create the measures, we adapted Miller et al.'s (2006) model for the Afghan Symptom Checklist (ASCL) and conducted 18 semistructured qualitative interviews that attended to refugees' multiple settings; the impact of potentially traumatic events initially and postresettlement; and the experiences and impact of resettlement stressors. We tested the newly developed measures and existing ASCL with 280 recently resettled refugees (< 3 years) from Afghanistan, the Great Lakes region of Africa, and Iraq to assess factor structure, reliability, and construct validity. We successfully replicated and adapted a process for creating culturally specific measures of distress to create reliable and valid scales that consider culturally and contextually specific distress among several groups of forcibly displaced people. Our results highlight the salience of individuals' social contexts and how they are manifested as idioms of distress, bringing together two key areas of research: the social construction of mental health and social determinants of mental health. These findings have implications for improving measurement of psychological distress and for developing multilevel interventions that are culturally resonant and address factors beyond the individual level. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The social determinants of mental health and disorder: evidence, prevention and recommendations.

People exposed to more unfavourable social circumstances are more vulnerable to poor mental health over their life course, in ways that are often determined by structural factors which generate and perpetuate intergenerational cycles of disadvantage and poor health. Addressing these challenges is an imperative matter of social justice. In this paper we provide a roadmap to address the social determinants that cause mental ill health. Relying as far as possible on high-quality evidence, we first map out the literature that supports a causal link between social determinants and later mental health outcomes. Given the breadth of this topic, we focus on the most pervasive social determinants across the life course, and those that are common across major mental disorders. We draw primarily on the available evidence from the Global North, acknowledging that other global contexts will face both similar and unique sets of social determinants that will require equitable attention. Much of our evidence focuses on mental health in groups who are marginalized, and thus often exposed to a multitude of intersecting social risk factors. These groups include refugees, asylum seekers and displaced persons, as well as ethnoracial minoritized groups; lesbian, gay, bisexual, transgender and queer (LGBTQ+) groups; and those living in poverty. We then introduce a preventive framework for conceptualizing the link between social determinants and mental health and disorder, which can guide much needed primary prevention strategies capable of reducing inequalities and improving population mental health. Following this, we provide a review of the evidence concerning candidate preventive strategies to intervene on social determinants of mental health. These interventions fall broadly within the scope of universal, selected and indicated primary prevention strategies, but we also briefly review important secondary and tertiary strategies to promote recovery in those with existing mental disorders. Finally, we provide seven key recommendations, framed around social justice, which constitute a roadmap for action in research, policy and public health. Adoption of these recommendations would provide an opportunity to advance efforts to intervene on modifiable social determinants that affect population mental health.

Deconstructing the social determinants of mental health.

Deconstructing the social determinants of mental health.

Advancing quantitative evaluation of social determinants of mental health and intervention effects: the need for community risk assessments.

Advancing quantitative evaluation of social determinants of mental health and intervention effects: the need for community risk assessments.

Challenges in implementing interventions to address the social determinants of mental health.

Challenges in implementing interventions to address the social determinants of mental health.