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1.
J Affect Disord ; 352: 43-50, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38360360

ABSTRACT

BACKGROUND: Refugees are at increased risk of non-affective psychotic disorders, but it is unclear whether this extends to affective psychotic disorders [APD] or non-psychotic bipolar disorder [NPB]. METHODS: We conducted a nationwide cohort study in Sweden of all refugees, non-refugee migrants and the Swedish-born population, born 1 Jan 1984-31 Dec 2016. We followed participants from age 14 years until first ICD-10 diagnosis of APD or NPB. We fitted Cox proportional hazards models to estimate hazard ratios [HR] and 95 % confidence intervals [95%CI], adjusted for age, sex and family income. Models were additionally stratified by region-of-origin. RESULTS: We followed 1.3 million people for 15.1 million person-years, including 2428 new APD cases (rate: 16.0 per 100,000 person-years; 95%CI: 15.4-16.7) and 9425 NPB cases (rate: 63.8; 95%CI: 62.6-65.1). Rates of APD were higher in refugee (HRadjusted: 2.07; 95%CI: 1.55-2.78) and non-refugee migrants (HRadjusted: 1.40; 95%CI: 1.16-1.68), but lower for NPBs for refugee (HRadjusted: 0.24; 95%CI: 0.16-0.38) and non-refugee migrants (HRadjusted: 0.34; 95%CI: 0.28-0.41), compared with the Swedish-born. APD rates were elevated for both migrant groups from Asia and sub-Saharan Africa, but not other regions. Migrant groups from all regions-of-origin experienced lower rates of NPB. LIMITATIONS: Income may have been on the causal pathway making adjustment inappropriate. CONCLUSIONS: Refugees experience elevated rates of APD compared with Swedish-born and non-refugee migrants, but lower rates of NPB. This specificity of excess risk warrants clinical and public health investment in appropriate psychosis care for these vulnerable populations.


Subject(s)
Bipolar Disorder , Psychotic Disorders , Refugees , Humans , Adolescent , Cohort Studies , Sweden/epidemiology , Refugees/psychology , Bipolar Disorder/epidemiology , Incidence , Psychotic Disorders/epidemiology
2.
Lancet Psychiatry ; 11(3): 183-192, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38360023

ABSTRACT

BACKGROUND: In 2012, the UK Government announced a series of immigration policy reforms known as the hostile environment policy, culminating in the Windrush scandal. We aimed to investigate the effect of the hostile environment policy on mental health for people from minoritised ethnic backgrounds. We hypothesised that people from Black Caribbean backgrounds would have worse mental health relative to people from White ethnic backgrounds after the Immigration Act 2014 and the Windrush scandal media coverage in 2017, since they were particularly targeted. METHODS: Using data from the UK Household Longitudinal Study, we performed a Bayesian interrupted time series analysis, accounting for fixed effects of confounders (sex, age, urbanicity, relationship status, number of children, education, physical or mental health impairment, housing, deprivation, employment, place of birth, income, and time), and random effects for residual temporal and spatial variation. We measured mental ill health using a widely used, self-administered questionnaire on psychological distress, the 12-item General Health Questionnaire (GHQ-12). We compared mean differences (MDs) and 95% credible intervals (CrIs) in mental ill health among people from minoritised ethnic groups (Black Caribbean, Black African, Indian, Bangladeshi, and Pakistani) relative to people of White ethnicity during three time periods: before the Immigration Act 2014, after the Immigration Act 2014, and after the start of the Windrush scandal media coverage in 2017. FINDINGS: We included 58 087 participants with a mean age of 45·0 years (SD 34·6; range 16-106), including 31 168 (53·6%) female and 26 919 (46·3%) male participants. The cohort consisted of individuals from the following ethnic backgrounds: 2519 (4·3%) Black African, 2197 (3·8%) Black Caribbean, 3153 (5·4%) Indian, 1584 (2·7%) Bangladeshi, 2801 (4·8%) Pakistani, and 45 833 (78·9%) White. People from Black Caribbean backgrounds had worse mental health than people of White ethnicity after the Immigration Act 2014 (MD in GHQ-12 score 0·67 [95% CrI 0·06-1·28]) and after the 2017 media coverage (1·28 [0·34-2·21]). For Black Caribbean participants born outside of the UK, mental health worsened after the Immigration Act 2014 (1·25 [0·11-2·38]), and for those born in the UK, mental health worsened after the 2017 media coverage (2·00 [0·84-3·15]). We did not observe effects in other minoritised ethnic groups. INTERPRETATION: Our finding that the hostile environment policy worsened the mental health of people from Black Caribbean backgrounds in the UK suggests that sufficient, appropriate mental health and social welfare support should be provided to those affected. Impact assessments of new policies on minority mental health should be embedded in all policy making. FUNDING: Wellcome Trust.


Subject(s)
Ethnicity , Mental Health , Child , Humans , Male , Female , Middle Aged , Longitudinal Studies , Bayes Theorem , Interrupted Time Series Analysis , England , Emigration and Immigration
3.
World Psychiatry ; 23(1): 58-90, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38214615

ABSTRACT

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.

4.
Soc Psychiatry Psychiatr Epidemiol ; 59(1): 187-198, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37160438

ABSTRACT

BACKGROUND: Social exclusion is a multidimensional concept referring processes which restrict the ability of individuals or groups to participate fully in society. While social exclusion has been used to explore patterns of disadvantage, it has been difficult to measure. Thus, we aimed to use population-based data to measure social exclusion and its constituent domains and to describe its distribution in England. METHODS: We used data from Understanding Society in 2009/2010 develop a multidimensional measurement approach, replicated in 2018/2019. We defined five domains of social exclusion from the literature and expert consultation: material, relational, political, digital, and structural. In both waves, we identified measures for each domain, then conducted principal component analysis to identify the components. We generated domain scores and an overall social exclusion score. We described the distribution of social exclusion and its domains by sex, region, age, and ethnicity. RESULTS: We found the level of social exclusion was higher in the youngest age group and decreased by age. We found elevated levels of overall social exclusion for ethnic minoritised groups including African, Arab, and Caribbean groups compared to White British groups. We found distinct patterns within each domain. DISCUSSION: We developed an overall measure of social exclusion with five domains, and finding distinct patterns of social exclusion by age, ethnicity, and region which varied across domain. These findings suggest that attention should be paid to the separate domains due to different population distributions. This measurement approach moves beyond conceptual discussions of social exclusion and demonstrates the utility of a quantitative measure of social exclusion for use in health and social research.


Subject(s)
Age Factors , Minority Groups , Social Isolation , Humans , England , Ethnicity
5.
Health Expect ; 2023 Oct 02.
Article in English | MEDLINE | ID: mdl-37786331

ABSTRACT

INTRODUCTION: Associations between structural inequalities and health are well established. However, there is limited work examining this link in relation to mental health, or that centres public perspectives. This study explores people's experience and sense-making of inequality in their daily lives, with particular consideration of impacts on mental health. METHODS: We conducted a peer research study. Participants had to live in one of two London Boroughs and have an interest in inequalities and mental health. Using social media, newsletters, local organisations and our peer researchers' contacts, we recruited 30 participants who took photos representing their experience of inequality and discussed them during semi-structured interviews. Data were analysed using reflexive thematic analysis. RESULTS: Three themes were identified in this study: (1) inequalities are unjust, multilayered and intertwined with mental health. Accounts demonstrated a deep understanding of inequalities and their link to mental health outcomes, describing inequalities as 'suffering' and 'not good for anyone'. Financial, housing, immigration and healthcare problems exacerbated poor mental health, with racism, gender-based violence and job loss also contributing factors for both poor mental health and experiences of inequality; (2) inequalities exclude and have far-reaching mental health consequences, impacting personal sense of belonging and perceived societal value and (3) moving forwards-addressing long-standing inequality and poor public mental health necessitated coping and resilience strategies that are often unacknowledged and undervalued by support systems. CONCLUSION: Lived experience expertise was central in this study, creating an innovative methodological approach. To improve public mental health, we must address the everyday, painful structural inequalities experienced by many as commonplace and unfair. New policies and strategies must be found that involve communities, redistributing resources and power, building on a collective knowledge base, to coproduce actions combatting inequalities and improving population mental health. PATIENT OR PUBLIC CONTRIBUTION: This study was peer-led, designed and carried out by researchers who had experiences of poor mental health. Six authors of the paper worked as peer researchers on this study.

6.
JAMA Psychiatry ; 80(12): 1258-1268, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-37672257

ABSTRACT

Importance: People with psychosis are more likely to be born and live in densely populated and socioeconomically deprived environments, but it is unclear whether these associations are a cause or consequence of disorder. Objective: To investigate whether trajectories of exposure to deprivation and population density before and after diagnosis are associated with psychotic disorders or nonpsychotic bipolar disorder. Design, Setting, and Participants: This nested case-control study included all individuals born in Sweden between January 1, 1982, and December 31, 2001, diagnosed for the first time with an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) psychotic disorder or nonpsychotic bipolar disorder between their 15th birthday and cohort exit (December 31, 2016). One sex- and birth year-matched control participant per case was selected. Data analysis was performed from July 2021 to June 2023. Exposures: The main exposures were quintiles of neighborhood-level deprivation and population density each year from birth to age 14 years and from first diagnosis until cohort exit. Main Outcomes and Measures: The main outcomes were the odds of a serious mental illness outcome associated with trajectories of deprivation and population density, before and after diagnosis in cases. Group-based trajectory modeling was used to derive trajectories of each exposure in each period. Logistic regression was used to examine associations with outcomes. Results: A total of 53 458 individuals (median [IQR] age at diagnosis in case patients, 23.2 [15.0-34.8] years; 30 746 [57.5%] female), including 26 729 case patients and 26 729 control participants, were studied. From birth to early adolescence, gradients were observed in exposure to deprivation and population density trajectories during upbringing and psychotic disorder, with those in the most vs least deprived (adjusted odds ratio [AOR], 1.17; 95% CI, 1.08-1.28) and most vs least densely populated (AOR, 1.49; 95% CI, 1.34-1.66) trajectories at greatest risk. A strong upward mobility trajectory to less deprived neighborhoods was associated with similar risk to living in the least deprived trajectory (AOR, 1.01; 95% CI, 0.91-1.12). Only 543 case patients (2.0%) drifted into more deprived areas after diagnosis; people with psychotic disorder were more likely to belong to this trajectory (AOR, 1.38; 95% CI, 1.16-1.65) or remain in the most deprived trajectory (AOR, 1.36; 95% CI, 1.24-1.48) relative to controls. Patterns were similar for nonpsychotic bipolar disorder and deprivation but weaker for population density. Conclusions and Relevance: In this case-control study, greater exposure to deprivation during upbringing was associated with increased risk of serious mental illness, but upward mobility mitigated this association. People with serious mental illness disproportionately remained living in more deprived areas after diagnosis, highlighting issues of social immobility. Prevention and treatment should be proportionately located in deprived areas according to need.


Subject(s)
Bipolar Disorder , Psychotic Disorders , Adolescent , Humans , Female , Young Adult , Adult , Male , Population Density , Case-Control Studies , Psychotic Disorders/diagnosis , Psychotic Disorders/epidemiology , Bipolar Disorder/diagnosis , Bipolar Disorder/epidemiology , Social Deprivation
7.
PLoS One ; 18(5): e0283514, 2023.
Article in English | MEDLINE | ID: mdl-37205670

ABSTRACT

BACKGROUND: The Covid-19 pandemic has had a substantial population mental health impact, with evidence indicating that mental health has deteriorated in particular for women. This gender difference could be explained by the distinct experiences of women during the pandemic, including the burden of unpaid domestic labour, changes in economic activity, and experiences of loneliness. This study investigates potential mediators in the relationship between gender and mental health during the first wave of the Covid-19 pandemic in the UK. METHODS: We used data from 9,351 participants of Understanding Society, a longitudinal household survey from the UK. We conducted a mediation analysis using structural equation modelling to estimate the role of four mediators, measured during the first lockdown in April 2020, in the relationship between gender and mental health in May and July 2020. Mental health was measured with the 12-item General Health Questionnaire (GHQ-12). Standardized coefficients for each path were obtained, as well as indirect effects for the role of employment disruption, hours spent on housework, hours spent on childcare, and loneliness. RESULTS: In a model controlling for age, household income and pre-pandemic mental health, we found that gender was associated with all four mediators, but only loneliness was associated with mental health at both time points. The indirect effects showed strong evidence of partial mediation through loneliness for the relationship between gender and mental health problems; loneliness accounted for 83.9% of the total effect in May, and 76.1% in July. No evidence of mediation was found for housework, childcare, or employment disruption. CONCLUSION: The results suggest that the worse mental health found among women during the initial period of the Covid-19 pandemic is partly explained by women reporting more experiences of loneliness. Understanding this mechanism is important for prioritising interventions to address gender-based inequities that have been exacerbated by the pandemic.


Subject(s)
COVID-19 , Mental Health , Humans , Female , Child , COVID-19/epidemiology , Communicable Disease Control , Pandemics , Child Care , Loneliness
8.
J Med Internet Res ; 25: e47678, 2023 Mar 31.
Article in English | MEDLINE | ID: mdl-37001114

ABSTRACT

[This corrects the article DOI: 10.2196/43213.].

9.
J Med Internet Res ; 25: e43213, 2023 03 24.
Article in English | MEDLINE | ID: mdl-36961482

ABSTRACT

BACKGROUND: Cross-sectional studies have found a relationship between social media use and depression and anxiety in young people. However, few longitudinal studies using representative data and mediation analysis have been conducted to understand the causal pathways of this relationship. OBJECTIVE: This study aims to examine the longitudinal relationship between social media use and young people's mental health and the role of self-esteem and social connectedness as potential mediators. METHODS: The sample included 3228 participants who were 10- to 15-year-olds from Understanding Society (2009-2019), a UK longitudinal household survey. The number of hours spent on social media was measured on a 5-point scale from "none" to "7 or more hours" at the ages of 12-13 years. Self-esteem and social connectedness (number of friends and happiness with friendships) were measured at the ages of 13-14 years. Mental health problems measured by the Strengths and Difficulties Questionnaire were assessed at the ages of 14-15 years. Covariates included demographic and household variables. Unadjusted and adjusted multilevel linear regression models were used to estimate the association between social media use and mental health. We used path analysis with structural equation modeling to investigate the mediation pathways. RESULTS: In adjusted analysis, there was a nonsignificant linear trend showing that more time spent on social media was related to poorer mental health 2 years later (n=2603, ß=.21, 95% CI −0.43 to 0.84; P=.52). In an unadjusted path analysis, 68% of the effect of social media use on mental health was mediated by self-esteem (indirect effect, n=2569, ß=.70, 95% CI 0.15-1.30; P=.02). This effect was attenuated in the adjusted analysis, and it was found that self-esteem was no longer a significant mediator (indirect effect, n=2316, ß=.24, 95% CI −0.12 to 0.66; P=.22). We did not find evidence that the association between social media and mental health was mediated by social connectedness. Similar results were found in imputed data. CONCLUSIONS: There was little evidence to suggest that more time spent on social media was associated with later mental health problems in UK adolescents. This study shows the importance of longitudinal studies to examine this relationship and suggests that prevention strategies and interventions to improve mental health associated with social media use could consider the role of factors like self-esteem.


Subject(s)
Mental Health , Social Media , Humans , Adolescent , Child , Cross-Sectional Studies , Longitudinal Studies , United Kingdom
10.
Psychol Med ; 53(4): 1166-1175, 2023 03.
Article in English | MEDLINE | ID: mdl-34231453

ABSTRACT

BACKGROUND: Characteristics of the neighbourhood environment, including population density, social fragmentation, and trust, have been linked to mental health outcomes. Using a longitudinal population-based cohort, we explored the relationship between objective and subjective neighbourhood characteristics and the odds of suicidal thoughts and attempts. METHODS: We conducted a longitudinal study of 20764 participants living in Stockholm County who participated in the Stockholm Public Health Survey. We used multilevel modelling to examine if suicidal thoughts and attempts were associated with neighbourhood characteristics, independent of individual associations. We included objective and subjective measures to explore if there was a different relationship between these measures of the neighbourhood environment and suicidality. RESULTS: Associations between neighbourhood factors and suicidality were predominantly explained by individual characteristics, with the exception of neighbourhood-level deprivation and average residential trust. Each unit increase of deprivation was linked to increased odds of suicidal thoughts [Odds ratio (OR) 1.04, 95% confidence interval (CI) 1.00-1.07] and attempts (OR 1.11, 95% CI 1.06-1.17). Decreasing residential trust was associated with increased odds of suicide attempts (OR 1.09, 95% CI 1.02-1.17). There was no evidence that neighbourhood-level fragmentation or average trust in public and political institutions had an independent effect on suicidality once individual and sociodemographic factors were accounted for. CONCLUSIONS: This study showed that much of the neighbourhood-level variation in suicidal thoughts and attempts could be explained by compositional factors, including sociodemographic clustering within neighbourhoods. The independent effect of neighbourhood-level deprivation and average residential trust provide evidence that the neighbourhood context may exert an independent effect on suicidality beyond the impact of individual characteristics.


Subject(s)
Suicidal Ideation , Suicide , Humans , Longitudinal Studies , Multilevel Analysis , Residence Characteristics , Neighborhood Characteristics , Risk Factors
11.
Soc Psychiatry Psychiatr Epidemiol ; 58(5): 769-778, 2023 May.
Article in English | MEDLINE | ID: mdl-35767014

ABSTRACT

PURPOSE: With housing costs increasing faster than incomes and a limited supply of social housing options, many households face unaffordable housing. Housing affordability problems may negatively impact mental health; however, longitudinal evidence is limited. This study investigates the association between trajectories of housing affordability problems and mental health. METHODS: We used data from 30,025 households from Understanding Society, a longitudinal household survey from the UK. Participants spending 30% or more of household income on housing were categorised as facing housing affordability problems. We estimated group-based trajectories of housing affordability problems from 9 waves of data (2009-2019). We used linear regression to calculate the association between the trajectories and mental health problems, as measured by General Health Questionnaire (GHQ) score in Wave 10 (2018-2020). RESULTS: We found six distinct trajectories of housing affordability problems. Those in the 'stable low' group had a consistently low probability of affordability problems, whilst those in 'high falling' group had a sustained high probability in the earlier waves of the study, subsequently decreasing over time. The adjusted analysis showed that trajectory group membership over the first nine waves of data predicted GHQ score in 2018-2020 (Wave 10). Compared to the 'stable low' group, those in the 'high falling' group had a GHQ score that was 1.06 (95% CI 0.53-1.58) points higher. CONCLUSION: This study provides evidence that sustained exposure to housing affordability problems is associated with long-term worse mental health, even in the absence of more recent problems.


Subject(s)
Housing , Mental Health , Humans , Cohort Studies , Income , Costs and Cost Analysis
12.
BMC Public Health ; 22(1): 1407, 2022 07 23.
Article in English | MEDLINE | ID: mdl-35870910

ABSTRACT

BACKGROUND: Numerous determinants have been linked to public mental health; however, they have not been brought together in a comprehensive conceptual framework. The goal of this work was to bring together academic research, practitioner expertise, and public perspectives to create a public mental health conceptual framework. METHODS: The development process proceeded in four stages. First, we identified a comprehensive list of potential determinants through a state-of-the-art academic literature review, grey literature review, and created mind maps created by peer researchers. Next, we conducted in-person workshops, consultations, and an online survey with academics, practitioners, policy makers, and members of the public to review the potential determinants, nominate additional determinants, and prioritise determinants by importance for understanding public mental health. This iterative process resulted in the final list of determinants contained in the framework. We then conducted rapid reviews to define each determinant and to identify key research, interventions, and resources. Finally, we worked with a design team to visualise the conceptual framework as an online tool and printable infographic. RESULTS: We found substantial overlap between sources reflecting a shared understanding of the key drivers of public mental health. The unique determinants that emerged from each data source highlighted the importance of using multiple sources to create a comprehensive model. 72 potential determinants were prioritised through stakeholder consultations, resulting in a final list of 55 determinants and organised into four levels: individual, family, community, and structural. CONCLUSIONS: This is the most complete conceptual framework for public mental health to date, bringing together academic research, policy and practitioner views, and lived experience perspectives. The co-production processes and tools we used provides a template for researchers looking to include multiple perspectives in their research. The conceptual framework draws together current knowledge on each determinant, but also highlights areas where further research is needed to better understand the relationship between each factor and mental health, which can inform the research agenda. This online tool and infographic can be used by practitioners to identify interventions for promoting mental health, and by the general public as a resource to increase awareness of the broad factors which shape public mental health.


Subject(s)
Mental Health , Public Health , Humans , Research Personnel
13.
Soc Psychiatry Psychiatr Epidemiol ; 57(11): 2241-2250, 2022 Nov.
Article in English | MEDLINE | ID: mdl-35838797

ABSTRACT

BACKGROUND: Previous studies suggest a protective effect of parenthood on suicide, but little is known about how the association may change across the lifespan, or in relation to sex, marital status or occurrence of psychiatric disorders. METHODS: We followed a cohort of over 5 million Swedish women and men, from 1991 to 2011, up to max. age 75, for death by suicide using national registers. Information on childbirths/adoptions, potential confounders and modifying factors were obtained from national registers. We assessed the associations between parenthood and suicide across adulthood using within time-stratified Cox regression models, with parenthood as a time-dependent exposure. RESULTS: Parents had a lower risk of suicide than non-parents across the lifespan, after adjusting for sociodemographic factors. The association was most pronounced in young adults, especially young women, but attenuated with increasing age and converged between sexes in older age groups. The lower risk of suicide over the life course was similar whether parents were married, unmarried or divorced, apart from married men; among them, parents only had a lower risk above age 55. The lower risk in parents was also evident in people with a history of psychiatric hospitalizations, but disappeared from age 55 in this population. CONCLUSION: The lower risk of suicide was present in both parents, was most pronounced in young adulthood and weakened with increasing age. Our results are consistent with a plausible mechanism where feelings of responsibility and connectedness are protective against suicide in parents.


Subject(s)
Suicide , Male , Young Adult , Female , Humans , Aged , Adult , Middle Aged , Sweden/epidemiology , Risk Factors , Suicide/psychology , Marital Status , Divorce
15.
Health Soc Care Community ; 30(1): 27-57, 2022 01.
Article in English | MEDLINE | ID: mdl-33988281

ABSTRACT

BACKGROUND: Mental health concerns in older adults are common, with increasing age-related risks to physical health, mobility and social isolation. Community-based approaches are a key focus of public health strategy in the UK, and may reduce the impact of these risks, protecting mental health and promoting wellbeing. We conducted a review of UK community-based interventions to understand the types of intervention studied and mental health/wellbeing impacts reported. METHOD: We conducted a scoping review of the literature, systematically searching six electronic databases (2000-2020) to identify academic studies of any non-clinical community intervention to improve mental health or wellbeing outcomes for older adults. Data were extracted, grouped by population targeted, intervention type, and outcomes reported, and synthesised according to a framework categorising community actions targeting older adults. RESULTS: In total, 1,131 full-text articles were assessed for eligibility and 54 included in the final synthesis. Example interventions included: link workers; telephone helplines; befriending; digital support services; group social activities. These were grouped into: connector services, gateway services/approaches, direct interventions and systems approaches. These interventions aimed to address key risk factors: loneliness, social isolation, being a caregiver and living with long-term health conditions. Outcome measurement varied greatly, confounding strong evidence in favour of particular intervention types. CONCLUSION: The literature is wide-ranging in focus and methodology. Greater specificity and consistency in outcome measurement are required to evidence effectiveness - no single category of intervention yet stands out as 'promising'. More robust evidence on the active components of interventions to promote older adult's mental health is required.


Subject(s)
Loneliness , Mental Health , Aged , Community Participation , Humans , Social Isolation , United Kingdom
16.
J Epidemiol Community Health ; 75(7): 665-673, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33931550

ABSTRACT

BACKGROUND: The COVID-19 pandemic has created a period of global economic uncertainty. Financial strain, personal debt, recent job loss and housing insecurity are important risk factors for the mental health of working-age adults. Community interventions have the potential to attenuate the mental health impact of these stressors. We examined the effectiveness of community interventions for protecting and promoting the mental health of working-age adults in high-income countries during periods of financial insecurity. METHODS: Eight electronic databases were systematically screened for experimental and observational studies published since 2000 measuring the effectiveness of community interventions on mental health outcomes. We included any non-clinical intervention that aimed to address the financial, employment, food or housing insecurity of participants. A review protocol was registered on the PROSPERO database (CRD42019156364) and results are reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. RESULTS: From 2326 studies screened, 15 met our inclusion criteria. Five categories of community intervention were identified: advice services colocated in healthcare settings; link worker social prescribing; telephone debt advice; food insecurity interventions; and active labour market programmes. In general, the evidence for effective and cost-effective community interventions delivered to individuals experiencing financial insecurity was lacking. From the small number of studies without a high risk of bias, there was some evidence that financial insecurity and associated mental health problems were amenable to change and differences by subpopulations were observed. CONCLUSION: There is a need for well-controlled studies and trials to better understand effective ingredients and to identify those interventions warranting wider implementation.

17.
Lancet Psychiatry ; 7(4): 327-336, 2020 04.
Article in English | MEDLINE | ID: mdl-32145763

ABSTRACT

BACKGROUND: Elevated risk of psychotic disorders in migrant groups is a public mental health priority. We investigated whether living in areas of high own-region migrant density was associated with reduced risk of psychotic disorders among migrants and their children, and whether generation status, probable visible minority status, or region-of-origin affected this relationship. METHODS: We used the Swedish registers to identify migrants and their children born between Jan 1, 1982, and Dec 31, 1996, and living in Sweden on or after their 15th birthday. We tracked all included participants from age 15 years or date of migration until emigration, death, or study end (Dec 31, 2016). The outcome was an ICD-10 diagnosis of non-affective psychosis (F20-29). We calculated own-region and generation-specific own-region density within the 9208 small areas for market statistics neighbourhoods in Sweden, and estimated the relationship between density and diagnosis of non-affective psychotic disorders using multilevel Cox proportional hazards models, adjusting for individual confounders (generation status, age, sex, calendar year, lone dwelling, and time since migration [migrants only]), family confounders (family income, family unemployment, and social welfare), and neighbourhood confounders (deprivation index, population density, and proportion of lone dwellings), and using the Akaike information criterion (AIC) to compare model fit. FINDINGS: Of 468 223 individuals included in the final cohort, 4582 (1·0%) had non-affective psychotic disorder. Lower own-region migrant density was associated with increased risk of psychotic disorders among migrants (hazard ratio [HR] 1·05, 95% CI 1·02-1·07 per 5% decrease) and children of migrants (1·03, 1·01-1·06), after adjustment. These effects were stronger for probable visible minority migrants (1·07, 1·04-1·11), including migrants from Asia (1·42, 1·15-1·76) and sub-Saharan Africa (1·28, 1·15-1·44), but not migrants from probable non-visible minority backgrounds (0·99, 0·94-1·04). Among migrants, adding generation status to the measure of own-region density provided a better fit to the data than overall own-region migrant density (AIC 36 103 vs 36 106, respectively), with a 5% decrease in generation-specific migrant density corresponding to a HR of 1·07 (1·04-1·11). INTERPRETATION: Migrant density was associated with non-affective psychosis risk in migrants and their children. Stronger protective effects of migrant density were found for probable visible minority migrants and migrants from Asia and sub-Saharan Africa. For migrants, this risk intersected with generation status. Together, these results suggest that this health inequality is socially constructed. FUNDING: Wellcome Trust, Royal Society, Mental Health Research UK, University College London, National Institute for Health Research, Swedish Research Council, and FORTE.


Subject(s)
Psychotic Disorders/ethnology , Transients and Migrants/psychology , Transients and Migrants/statistics & numerical data , Adolescent , Adult , Africa South of the Sahara/ethnology , Aged , Asia/ethnology , Female , Health Status Disparities , Humans , Longitudinal Studies , Male , Middle Aged , Population Density , Proportional Hazards Models , Registries , Sex Distribution , Socioeconomic Factors , Sweden/epidemiology , Young Adult
18.
JAMA Psychiatry ; 77(7): 729-736, 2020 07 01.
Article in English | MEDLINE | ID: mdl-32159742

ABSTRACT

Importance: Being born or raised in more densely populated or deprived areas is associated with increased risk of nonaffective psychosis in adulthood, but few studies to date have examined the role of general cognitive ability in these associations. Objective: To investigate whether lower IQ contributed to the association between population density or deprivation and nonaffective psychosis (mediation) and whether these associations were stronger in people with lower IQ (effect modification). Design, Setting, and Participants: This prospective cohort study evaluated a population-based sample of men born in Sweden from January 1, 1982, to December 31, 1988, and conscripted into military service at 18 years of age. Data were collected from January 1, 1982, to December 31, 2016, and analyzed from May 1 to December 31, 2018. Exposures: Continuous measures of small area-level population density (persons per square kilometer) and socioeconomic deprivation at birth. Deprivation was based on area-level social, criminal, and unemployment data. IQ was assessed during conscription at 18 years of age (mean [SD] IQ, 100 [15]). Main Outcomes and Measures: First diagnosis of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, nonaffective psychosis from 18 years of age until December 31, 2016, recorded in the National Patient Register. Results: The study sample included a total of 227 429 men who were classified as at risk of psychosis from 18 years of age until the end of follow-up. Of these, 1596 men (0.7%) were diagnosed with nonaffective psychosis. After adjustments for confounders, odds of nonaffective psychosis increased per 1-SD increase in population density (odds ratio [OR], 1.07; 95% CI, 1.04-1.14) and deprivation (OR, 1.09; 95% CI, 1.02-1.13) at birth. IQ was negatively associated with deprivation after adjustments (effect estimate per 1-SD increase in deprivation: -0.70 points; 95% CI, -0.78 to -0.62 points) but not with population density. In mediation analyses, based on the potential outcome framework, 23% (95% CI, 17%-49%) of the total effect of deprivation on nonaffective psychosis was mediated by IQ. IQ did not modify associations between deprivation or population density and nonaffective psychosis. Conclusions and Relevance: These findings suggest that being born in more deprived neighborhoods may partly increase risk of nonaffective psychosis through subsequent effects on cognitive development, consistent with the wider literature on neurodevelopmental delays associated with psychotic disorder. Identifying factors in deprived environments that give rise to this process could inform public health strategies to prevent nonaffective psychosis.


Subject(s)
Intelligence , Population Density , Poverty/statistics & numerical data , Psychotic Disorders/epidemiology , Registries/statistics & numerical data , Residence Characteristics/statistics & numerical data , Adolescent , Adult , Cohort Studies , Humans , Male , Sweden/epidemiology , Young Adult
19.
PLoS Med ; 16(11): e1002944, 2019 11.
Article in English | MEDLINE | ID: mdl-31689291

ABSTRACT

BACKGROUND: Refugees are at higher risk of some psychiatric disorders, including post-traumatic stress disorder (PTSD) and psychosis, compared with other non-refugee migrants and the majority population. However, it is unclear whether this also applies to substance use disorders, which we investigated in a national register cohort study in Sweden. We also investigated whether risk varied by region of origin, age at migration, time in Sweden, and diagnosis of PTSD. METHODS AND FINDINGS: Using linked Swedish register data, we followed a cohort born between 1984 and 1997 from their 14th birthday or arrival in Sweden, if later, until an International Classification of Diseases, 10th revision (ICD-10), diagnosis of substance use disorder (codes F10.X-19.X), emigration, death, or end of follow-up (31 December 2016). Refugee and non-refugee migrants were restricted to those from regions with at least 1,000 refugees in the Swedish registers. We used Cox proportional hazards regression to estimate unadjusted and adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) in refugee and non-refugee migrants, compared with Swedish-born individuals, for all substance use disorders (F10.X-19.X), alcohol use disorders (F10.X), cannabis use disorders (F12.X), and polydrug use disorders (F19.X). In adjusted analyses, we controlled for age, sex, birth year, family income, family employment status, population density, and PTSD diagnosis. Our sample of 1,241,901 participants included 17,783 (1.4%) refugee and 104,250 (8.4%) non-refugee migrants. Refugees' regions of origin were represented in proportions ranging from 6.0% (Eastern Europe and Russia) to 41.4% (Middle East and North Africa); proportions of non-refugee migrants' regions of origin ranged from 11.8% (sub-Saharan Africa) to 33.7% (Middle East and North Africa). These groups were more economically disadvantaged at cohort entry (p < 0.001) than the Swedish-born population. Refugee (aHR: 0.52; 95% CI 0.46-0.60) and non-refugee (aHR: 0.46; 95% CI 0.43-0.49) migrants had similarly lower rates of all substance use disorders compared with Swedish-born individuals (crude incidence: 290.2 cases per 100,000 person-years; 95% CI 287.3-293.1). Rates of substance use disorders in migrants converged to the Swedish-born rate over time, indicated by both earlier age at migration and longer time in Sweden. We observed similar patterns for alcohol and polydrug use disorders, separately, although differences in cannabis use were less marked; findings did not differ substantially by migrants' region of origin. Finally, while a PTSD diagnosis was over 5 times more common in refugees than the Swedish-born population, it was more strongly associated with increased rates of substance use disorders in the Swedish-born population (aHR: 7.36; 95% CI 6.79-7.96) than non-refugee migrants (HR: 4.88; 95% CI 3.71-6.41; likelihood ratio test [LRT]: p = 0.01). The main limitations of our study were possible non-differential or differential under-ascertainment (by migrant status) of those only seen via primary care and that our findings may not generalize to undocumented migrants, who were not part of this study. CONCLUSIONS: Our findings suggest that lower rates of substance use disorders in migrants and refugees may reflect prevalent behaviors with respect to substance use in migrants' countries of origin, although this effect appeared to diminish over time in Sweden, with rates converging towards the substantial burden of substance use morbidity we observed in the Swedish-born population.


Subject(s)
Refugees/psychology , Substance-Related Disorders/ethnology , Transients and Migrants/psychology , Adult , Aged , Cohort Studies , Drug Overdose , Emigration and Immigration , Female , Health Surveys , Humans , Income , Male , Middle Aged , Prevalence , Proportional Hazards Models , Registries , Risk Factors , Socioeconomic Factors , Substance-Related Disorders/epidemiology , Sweden/epidemiology , Young Adult
20.
Schizophr Res ; 208: 268-275, 2019 06.
Article in English | MEDLINE | ID: mdl-30738697

ABSTRACT

OBJECTIVE: The determinants of increased psychosis risk among immigrants remain unclear. Given ethnic density may be protective, we investigated whether the presence of immediate family, or "family networks", at time of immigration was associated with risk of non-affective psychosis. METHODS: We followed a cohort of migrants (n = 838,717) to Sweden, born 1968-1997, from their 14th birthday, or earliest immigration thereafter, until diagnosis of non-affective psychosis (ICD-9/ICD-10), emigration, death, or 2011. Using record linkage, we measured family network as the presence of adult first-degree relatives immigrating with the cohort participant or already residing in Sweden. We used Cox proportional hazards regression to examine whether risk varied between those migrating with family, migrating to join family, or migrating alone. RESULTS: Migrating with immediate family was associated with increased psychosis risk amongst males compared to males who did not migrate with family (adjusted Hazard Ratio [aHR]: 1.16, 95% CI: 1.00-1.34). Migrating with family did not increase risk among females (aHR: 0.91, 95% CI: 0.78-1.07); similar observations were observed for males who immigrated to join family (aHR: 1.35, 95% CI: 1.21-1.51). In contrast, females who migrated alone were at increased risk compared to females who did not migrate alone (aHR: 1.31, 95% CI: 1.11-1.54). CONCLUSION: Family networks at the time of immigration were associated with differential patterns of non-affective psychotic disorders for males and females. These results suggest sex-specific differences in the perceived role of family networks during the migration process.


Subject(s)
Emigration and Immigration , Family , Psychotic Disorders/epidemiology , Adolescent , Adult , Child , Child, Preschool , Cohort Studies , Emigrants and Immigrants/psychology , Family/psychology , Female , Humans , Infant , Male , Risk Factors , Sex Factors , Social Support , Sweden , Young Adult
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