Acculturative stress, disability, and health treatment utilization among Asian and Latin American immigrants in the United States Abstract Purpose Empirical research has largely ignored the potential links between immigration-related stress and disability as well as immigration-related stress and health service utilization despite increasing scholarship on the association between acculturative stress and health. This study examined the associations between acculturative stress, disability, and health treatment utilization among Asian and Latin American immigrants in the United States. Methods Data were from the National Latino and Asian American Study (NLAAS), a nationally representative survey of Asians and Latinos living in the United States. The analytic sample contained 2653 immigrants. We utilized multivariable logistic regression and negative binomial regression analyses to examine the associations between acculturative stress and disability domains. We also examined the association between acculturative stress and treatment utilization, as this may have implications for how to best intervene to address any functional disability related to acculturative stress. Results Acculturative stress was significantly associated with self-reported disability across five domains: self-care, cognition, mobility, time out of role, and social interaction. Additionally, acculturative stress was significantly associated with a greater frequency of disability domains. Acculturative stress was not significantly associated with utilization of services from mental health or general health sectors, but was significantly and positively associated with utilization of non-health care services. The findings were robust regarding the inclusion of everyday discrimination as well as demographic and socioeconomic covariates. Conclusions Acculturative stress may be an important yet overlooked correlate of disability among immigrants in the United States. Non-health care services may provide an effective pathway for intervening for these individuals.

Development of the Australian neighborhood social fragmentation index and its association with spatial variation in depression across communities Abstract Purpose We know little about how community structures influence the risk of common mental illnesses. This study presents a new way to establish links between depression and social fragmentation, thereby identifying pathways to better target mental health services and prevention programs to the right people in the right place. Method A principal components analysis (PCA) was conducted to develop the proposed Australian neighborhood social fragmentation index (ANSFI). General practice clinical data were used to identify cases of diagnosed depression. The association between ANSFI and depression was explored using multilevel logistic regression. Spatial hot spots (clusters) of depression prevalence and social fragmentation at the statistical area level 1 (SA1) were examined. Results Two components of social fragmentation emerged, reflecting fragmentation related to family structure and mobility. Individuals treated for depression in primary care were more likely to live in neighborhoods with lower socioeconomic status and with higher social fragmentation related to family structure. A 1-SD increase in social fragmentation was associated with a 16% higher depression prevalence (95% CI 11%, 20%). However, the association attenuated with adjustment for neighborhood socio-economic status. Considerable spatial variation in social fragmentation and depression patterns across communities was observed. Conclusions Developing a social fragmentation index for the first time in Australia at a small area level generates a new line of knowledge on the impact of community structures on health risks. Findings may extend our understanding of the mechanisms that drive geographical variation in the incidence of common mental disorders and mental health care.

The longitudinal relationship of alcohol problems and depressive symptoms and the impact of externalising symptoms: findings from the Belfast Youth Developmental Study Abstract Purpose The aim of the present study was to contribute to the inconsistent literature on the comorbid relationship of alcohol problems and depressive symptoms from late adolescent to emerging adulthood by accounting for their trajectories and their conjoint relationship while controlling for the influence of externalising symptoms. Methods We utilised data, from a longitudinal school cohort from Northern Ireland (Belfast Youth Developmental Study), over three time points where the participants were 16, 17 and 21 years of age. A total of 3118 participants were included, 1713 females and 1405 males. Second-order latent growth models were applied to examine growth trajectories. Parallel process growth models were used to assess whether growth trajectories of the symptoms were associated. Externalising symptoms were subsequently added as a covariate. Results Alcohol problems among males significantly increased over time but decreased in females. Depressive symptoms initially increased then decreased in both genders. Results indicated associations of the alcohol problems and depression, both initially and with time. Accounting for externalising symptoms only somewhat diminished this effect in males but not in females. An increase of initial levels of depression was associated with a decrease in alcohol problems over time. This association was only true among females. After controlling for externalising symptoms, the relationship was no longer observed. Conclusions The present study provides further evidence of a significant relationship of alcohol problems and depression in adolescents and further supports a small literature indicating that depression may have protective effects of alcohol problems. Finally, the study shows the importance of accounting for externalising symptoms.

Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling Abstract Purpose To: (1) explore how multi-level factors impact the longitudinal prevalence of depression and alcohol misuse among urban older adults (≥ 65 years), and (2) simulate the impact of alcohol taxation policies and targeted interventions that increase social connectedness among excessive drinkers, socially isolated and depressed older adults; both alone and in combination. Methods An agent-based model was developed to explore the temporal co-evolution of depression and alcohol misuse prevalence among older adults nested in a spatial network. The model was based on Los Angeles and calibrated longitudinally using data from the Multi-Ethnic Study of Atherosclerosis. Results Interventions with a social component targeting depressed and socially isolated older adults appeared more effective in curbing depression prevalence than those focused on excessive drinkers. Targeting had similar impacts on alcohol misuse, though the effects were marginal compared to those on depression. Alcohol taxation alone had little impact on either depression or alcohol misuse trajectories. Conclusions Interventions that improve social connectedness may reduce the prevalence of depression among older adults. Targeting considerations could play an important role in determining the success of such efforts.

Psychiatric problems among returned migrants in Mexico: updated findings from the Mexican Migration Project Abstract Purpose Migration is often a stressful process that can have deleterious effects on health. We study the potential mental health consequences of migration by comparing Mexican migrants to the United States who have since returned to Mexico with Mexicans who have never migrated. Methods Data from the Mexican Migration Project were used to compare returned migrants and non-migrants in Mexico for the years 2007–2016 (N = 7716). Random intercept logistic regression models were used to estimate the associations between characteristics of migration and psychiatric problems. Coarsened exact matching was implemented to account for the selection bias inherent to migration. Results Relatively healthier Mexicans were more likely to migrate to the United States, regardless of their documentation status. Returned migrants in Mexico who traveled to the United States while undocumented were significantly more likely to report that they experienced psychiatric problems when compared with non-migrant Mexicans, even after adjusting for demographic, socioeconomic, pre-migration health, and community-level factors. Conclusions Undocumented return migrants in Mexico are at-risk of developing psychiatric problems, despite evidence that suggests migrants tend to be healthier than non-migrants before they travel to the United States. Mental health services should encompass strategies for migrants on both sides of the border.

Evaluating same-source bias in the association between neighbourhood characteristics and depression in a community sample from Toronto, Canada Abstract Background and purpose It is common in prior studies of the influence of neighbourhood characteristics on mental health to use participant-assessed neighbourhood exposures, which can lead to same-source bias since an individual’s mental health status may influence their judgement of their neighbourhood. To avoid this potential bias, we evaluated the use of individually assessed neighbourhood exposures to understand how they compare to collectively assessed measures (by aggregating multiple responses within the same neighbourhood). This would increase the validity of the measure by decoupling the neighbourhood measure from an individual’s mental health status. Methods We conducted a stratified-randomised survey of 2411 adults across 87 census tracts in Toronto, Canada (mean of 28 per census tract) to investigate how self-reported (individually assessed) social environmental neighbourhood measures compared to aggregated, collectively assessed, measures for neighbourhood problems/disorder, safety, service quality, and linking, bonding and bridging social capital. The outcome, experience of major depression in the past 12 months, was measured using the Composite International Diagnostic Studies Depression Scale Short Form. Results (1) Individually assessed neighbourhood problems, (2) low (individually assessed) neighbourhood safety, (3) low (individually assessed) neighbourhood service quality, and (4) low (individually assessed) linking social capital were independently associated with depression (all at least p < 0.05). However, when the individually assessed exposures were aggregated over residents in the same neighbourhood, none of them were significantly associated with depression. Conclusions Our study provides evidence for same-source bias in studies of social environmental determinants of depression that relies on individually assessed neighbourhood measures. We caution future studies from solely relying on individually assessed neighbourhood exposures especially in the study of social environmental influences on mental health outcomes.

Differences in duration of untreated psychosis for racial and ethnic minority groups with first-episode psychosis: an updated systematic review and meta-analysis Abstract Purpose Ethnic minority groups with early psychosis may have longer treatment delays, potentially leading to poorer outcomes. We updated a previous systematic review of the literature on racial and ethnic differences in duration of untreated psychosis (DUP) among people with first-episode psychosis. Results Six of 17 studies described significant differences across aggregated racial groups; however, the pooled estimates did not show differences across groups. Additional data from this update allowed for disaggregated analyses, finding that Black-African groups have a shorter DUP, whereas Black-Caribbean groups have longer DUP, relative to White groups. Conclusions These findings highlight the importance of in-depth research on disaggregated ethnic groups to inform targeted early intervention strategies for minority populations.

Case-finding for common mental disorders in primary care using routinely collected data: a systematic review Abstract Purpose Case-finding for common mental disorders (CMD) in routine data unobtrusively identifies patients for mental health research. There is absence of a review of studies examining CMD-case-finding accuracy in routine primary care data. CMD-case definitions include diagnostic/prescription codes, signs/symptoms, and free text within electronic health records. This systematic review assesses evidence for case-finding accuracy of CMD-case definitions compared to reference standards. Methods PRISMA-DTA checklist guided review. Eligibility criteria were outlined prior to study search; studies compared CMD-case definitions in routine primary care data to diagnostic interviews, screening instruments, or clinician judgement. Studies were quality assessed using QUADAS-2. Results Fourteen studies were included, and most were at high risk of bias. Nine studies examined depressive disorders and seven utilised diagnostic interviews as reference standards. Receiver operating characteristic (ROC) planes illustrated overall variable case-finding accuracy across case definitions, quantified by Youden’s index. Forest plots demonstrated most case definitions provide high specificity. Conclusion Case definitions effectively identify cases in a population with good accuracy and few false positives. For 100 anxiety cases, identified using diagnostic codes, between 12 and 20 will be false positives; 0–47 cases will be missed. Sensitivity is more variable and specificity is higher in depressive cases; for 100 cases identified using diagnostic codes, between 0 and 87 will be false positives; 4–18 cases will be missed. Incorporating context to case definitions may improve overall case-finding accuracy. Further research is required for meta-analysis and robust conclusions.

Patterns of somatic distress among internally displaced persons in Ukraine: analysis of a cross-sectional survey Abstract Purpose There are often high rates of mental disorders in low- and middle-income countries during humanitarian crises, but the prevalence of somatic distress (SD) is underreported in the existing health service research. We aim to examine the patterns of SD among internally displaced persons (IDPs) in Ukraine, who were forcibly displaced due to the ongoing conflict in the country’s eastern region. Methods The study design was a cross-sectional survey of 2203 adult IDPs throughout Ukraine. The survey collected data on sociodemographic characteristics, traumatic life events (Life Events Checklist), utilisation of mental health care services, and self-reported outcomes of SD (Patient Health Questionnaire 15), anxiety (Generalised Anxiety Disorder 7), depression (Patient Health Questionnaire 9), and post-traumatic stress (PTSD Checklist). Descriptive and multivariate regression analyses were used. Results Over half of respondents (n = 1142, 55%) were identified as being at risk of SD (PHQ-15 score ≥ 6), and the prevalence of moderate (n = 377, 18%) and high severity SD risk (n = 275, 13%) was substantial. There were significant associations (p < 0.05) between SD and age, female gender, economic status, self-reported depression and post-traumatic stress, and multiple trauma exposures. Being at risk of SD was also significantly associated with increased functional disability. Use of mental health care services was low across this population and only high SD risk seemed to be a reliable predictor of care-seeking behaviour. Conclusions There is a significant risk of SD among IDPs in Ukraine. Our results illustrate the need for targeted health service research and regional programs to ensure that mental health needs are appropriately met.

Association between perinatal depressive symptoms and suicidal risk among low-income South African women: a longitudinal study Abstract Purpose The aim of this study was to assess the association between depressive symptoms and suicidal risk over time among perinatal women at risk for depression antenatally, and assess modifying effects of age, perinatal stage and depressive symptom trajectory. Methods A total of 384 adult pregnant women were recruited from two antenatal clinics in an informal settlement near Cape Town, South Africa, and followed up at eight months gestation, and at 3- and 12-month postpartum. The MINI 6.0 Suicidality module and the Hamilton Depression Rating Scale (HDRS) were used to measure suicidal risk and depression, respectively. Generalised Estimating Equations were used to assess the association between change in depressive symptoms from one assessment to the next (predictor) and change in suicide score or change in suicidal risk (score ≥ 9) (outcomes). Results HDRS scores were positively correlated with suicide score (95% CI 0.35, 0.78; p < 0.001), and with odds of being at moderate risk for suicide, after controlling for risk of suicide at the previous assessment (adjusted odds ratio = 1.15; 95% CI 1.09, 1.22; p < 0.001). Age was a significant effect modifier: change in HDRS scores was not associated with change in suicide scores among participants aged 35–45 years. Secondary analyses indicated that a decrease in HDRS score was associated with a decrease in suicide scores, but an increase in HDRS score was not associated with change in suicide score. Conclusions Depression and suicide are overlapping but relatively independent phenomena, especially among older or more chronically depressed perinatal women.