Improve Population Mental Health Research Articles

Why clinical research fails to improve population mental health

Why clinical research fails to improve population mental health

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Growing evidence associates air pollution exposure with various psychiatric disorders. However, the importance of early-life (eg, prenatal) air pollution exposure to mental health during youth is poorly understood, and few longitudinal studies have investigated the association of noise pollution with youth mental health. To examine the longitudinal associations of air and noise pollution exposure in pregnancy, childhood, and adolescence with psychotic experiences, depression, and anxiety in youths from ages 13 to 24 years. This cohort study used data from the Avon Longitudinal Study of Parents and Children, an ongoing longitudinal birth cohort founded in 1991 through 1993 in Southwest England, United Kingdom. The cohort includes over 14 000 infants with due dates between April 1, 1991, and December 31, 1992, who were subsequently followed up into adulthood. Data were analyzed October 29, 2021, to March 11, 2024. A novel linkage (completed in 2020) was performed to link high-resolution (100 m2) estimates of nitrogen dioxide (NO2), fine particulate matter under 2.5 μm (PM2.5), and noise pollution to home addresses from pregnancy to 12 years of age. Psychotic experiences, depression, and anxiety were measured at ages 13, 18, and 24 years. Logistic regression models controlled for key individual-, family-, and area-level confounders. This cohort study included 9065 participants who had any mental health data, of whom (with sample size varying by parameter) 51.4% (4657 of 9051) were female, 19.5% (1544 of 7910) reported psychotic experiences, 11.4% (947 of 8344) reported depression, and 9.7% (811 of 8398) reported anxiety. Mean (SD) age at follow-up was 24.5 (0.8) years. After covariate adjustment, IQR increases (0.72 μg/m3) in PM2.5 levels during pregnancy (adjusted odds ratio [AOR], 1.11 [95% CI, 1.04-1.19]; P = .002) and during childhood (AOR, 1.09 [95% CI, 1.00-1.10]; P = .04) were associated with elevated odds for psychotic experiences. Pregnancy PM2.5 exposure was also associated with depression (AOR, 1.10 [95% CI, 1.02-1.18]; P = .01). Higher noise pollution exposure in childhood (AOR, 1.19 [95% CI, 1.03-1.38]; P = .02) and adolescence (AOR, 1.22 [95% CI, 1.02-1.45]; P = .03) was associated with elevated odds for anxiety. In this longitudinal cohort study, early-life air and noise pollution exposure were prospectively associated with 3 common mental health problems from adolescence to young adulthood. There was a degree of specificity in terms of pollutant-timing-outcome associations. Interventions to reduce air and noise pollution exposure (eg, clean air zones) could potentially improve population mental health. Replication using quasi-experimental designs is now needed to shed further light on the underlying causes of these associations.

Mental Health and U.S. Attitudes Toward Social Determinants of Health Policies

IntroductionResearch has suggested that individual health may influence policy attitudes, yet the relationship between mental health and policy support is understudied. Clarifying this relationship may help inform policies that can improve population mental health. To address this gap, this study measures national support for five social determinants of health policy priorities and their relation to mental health and political affiliation. MethodsThis study assessed support for five policy priorities related to the social determinants of health using a nationally representative survey of US adults (n = 2,430) conducted in March - April 2023. Logistic regression was used to estimate the predicted probability of identifying each priority as important, test differences in support by self-rated mental health, and evaluate whether partisanship modified these relationships. Analyses were conducted in 2023. ResultsThe majority of US adults, across partisan identities, supported five policy priorities related to improving the economy (84%), healthcare affordability (77%), improving K-12 education (76%), housing affordability (68%), and childcare affordability (61%). Worse mental health predicted significantly greater support for addressing housing affordability (73.9% vs. 66.2%), and partisanship modified the relationship between mental health and support for improving the economy, improving K-12 education, and housing affordability. ConclusionsIn 2023, there was substantial bipartisan support for federal policy action to address the social determinants of health, and worse mental health was related to greater policy support, particularly among Democrats. Federal policymakers have a broad consensus to take action to address the social determinants of health, which may improve population mental health.

Community and household-level incarceration and its association with mental health in a racially/ethnically diverse sample of families

This study examines the association between community incarceration rates, household incarceration, and the mental health of parents and children. Participant families had children ages 5–9 (n = 1307) from the African American, Latinx, Hmong, Somali/Ethiopian, Native American, and White communities in the Twin Cities, Minnesota. Linear mixed models were used to estimate associations between parent and child mental health, household incarceration exposure, and census tract race, ethnicity and gender-specific incarceration rates matched to the family's home address and race/ethnicity. Findings indicated that living in census tracts with elevated incarceration rates of men from your same racial or ethnic group was significantly associated with psychological distress in parents and externalizing behaviors in boys, regardless of household exposure to incarceration. The association between incarceration rates and externalizing behaviors was only observed among girls with exposure to household incarceration. Policies that deconstruct pervasive racism in penal systems are needed to improve population mental health.

Individual and Interactive Effects of Housing and Neighborhood Quality on Mental Health in Hong Kong: A Retrospective Cohort Study

Existing literature has widely explored the individual roles of housing and neighborhood quality, and there is limited research examining their interactive effects on mental health. This 3-year cohort study utilized a longitudinal design to investigate the individual and interactive effects of housing and neighborhood quality on mental health among 962 community-dwelling adults in Hong Kong. Participants were asked to rate their residential qualities over the 3-year period. Mental health outcomes, including levels of psychological distress and common mental disorders (CMD), were assessed using the Revised Clinical Interview Schedule (CIS-R). Logistic regression and generalized linear models were used to examine the association between housing and neighborhood quality and CMD/psychological distress, adjusting for sociodemographic and residential characteristics and baseline mental disorders. Housing quality was associated with the 3-year CMD (adjusted OR 0.95; 95% CI 0.91 to 0.98). Likewise, neighborhood quality was associated with CMD over 3 years (adjusted OR 0.92; 95% CI 0.87 to 0.96). In a separate model including both quality measures, the effect of housing quality on CMD was attenuated, whereas the neighborhood impact remained significant (adjusted OR 0.92; 95% CI 0.87 to 0.98). Generalized linear models indicated that for participants residing in substandard housing, those with high neighborhood quality had lower CIS-R scores at follow-up compared to those with low neighborhood quality (p = 0.041). Better neighborhood quality alleviated the detrimental effects of poor housing quality on mental health. Planning for an enhanced neighborhood would improve population mental health in an urban environment.

Health-Related Quality of Life: differences between Human-Wildlife Interface and Non- Wildlife Zones of Meru County, Kenya

Background: Emerging infectious diseases (EIDs) of animal origin are increasing. Research, collaboration and surveillance on population health as per the WHO definition of health through one health is necessary to prevent these zoonoses. Comparison of Health Related Quality of Life (HRQoL) between residents at the human-wildlife interfaces and non-wildlife zones can identitify health inequalities for action. We compared the HRQoL of such areas in Meru County, Kenya. Methods: Data were simultaneously collected using the European Quality of Life Five Dimension, Five Level questionnaire (EQ-5D-5L) in Igembe Central and Tigania West Sub-counties. Associations between the HRQoL variables and the hypothesis were tested through chi statistic and odds ratio respectively. Results: Participants largely reported no problems in the dimensions of EQ-5D-5L. However, the HRQoL significantly differed between the two populations. Populations at the brink of Meru National Park reported more problems in the worry (anxiety/depression) dimension of the EQ-5D-5L than their counterparts in Tigania West. Conclusions: Further studies are required to address the cause of anxiety/depression to improve population mental health around the Park.

Short-term impacts of Universal Basic Income on population mental health inequalities in the UK: A microsimulation modelling study.

Population mental health in the United Kingdom (UK) has deteriorated, alongside worsening socioeconomic conditions, over the last decade. Policies such as Universal Basic Income (UBI) have been suggested as an alternative economic approach to improve population mental health and reduce health inequalities. UBI may improve mental health (MH), but to our knowledge, no studies have trialled or modelled UBI in whole populations. We aimed to estimate the short-term effects of introducing UBI on mental health in the UK working-age population. Adults aged 25 to 64 years were simulated across a 4-year period from 2022 to 2026 with the SimPaths microsimulation model, which models the effects of UK tax/benefit policies on mental health via income, poverty, and employment transitions. Data from the nationally representative UK Household Longitudinal Study were used to generate the simulated population (n = 25,000) and causal effect estimates. Three counterfactual UBI scenarios were modelled from 2023: "Partial" (value equivalent to existing benefits), "Full" (equivalent to the UK Minimum Income Standard), and "Full+" (retaining means-tested benefits for disability, housing, and childcare). Likely common mental disorder (CMD) was measured using the General Health Questionnaire (GHQ-12, score ≥4). Relative and slope indices of inequality were calculated, and outcomes stratified by gender, age, education, and household structure. Simulations were run 1,000 times to generate 95% uncertainty intervals (UIs). Sensitivity analyses relaxed SimPaths assumptions about reduced employment resulting from Full/Full+ UBI. Partial UBI had little impact on poverty, employment, or mental health. Full UBI scenarios practically eradicated poverty but decreased employment (for Full+ from 78.9% [95% UI 77.9, 79.9] to 74.1% [95% UI 72.6, 75.4]). Full+ UBI increased absolute CMD prevalence by 0.38% (percentage points; 95% UI 0.13, 0.69) in 2023, equivalent to 157,951 additional CMD cases (95% UI 54,036, 286,805); effects were largest for men (0.63% [95% UI 0.31, 1.01]) and those with children (0.64% [95% UI 0.18, 1.14]). In our sensitivity analysis assuming minimal UBI-related employment impacts, CMD prevalence instead fell by 0.27% (95% UI -0.49, -0.05), a reduction of 112,228 cases (95% UI 20,783, 203,673); effects were largest for women (-0.32% [95% UI -0.65, 0.00]), those without children (-0.40% [95% UI -0.68, -0.15]), and those with least education (-0.42% [95% UI -0.97, 0.15]). There was no effect on educational mental health inequalities in any scenario, and effects waned by 2026. The main limitations of our methods are the model's short time horizon and focus on pathways from UBI to mental health solely via income, poverty, and employment, as well as the inability to integrate macroeconomic consequences of UBI; future iterations of the model will address these limitations. UBI has potential to improve short-term population mental health by reducing poverty, particularly for women, but impacts are highly dependent on whether individuals choose to remain in employment following its introduction. Future research modelling additional causal pathways between UBI and mental health would be beneficial.

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.

Stressful life events exhibit complex patterns of associations with depressive symptoms in two population-based samples using network analysis

BackgroundStressful life events (SLEs) constitute key risk factors for depression. However, previous studies examining associations between SLEs and depression have been limited by focusing on single events, combining events into broad categories, and/or ignoring interrelationships between events in statistical analyses. Network analysis comprises a set of statistical methods well-suited for assessing relationships between multiple variables and can help surpass several limitations of previous studies. MethodsWe applied network analysis using mixed graphical models combining two large-scale population-based samples and >34,600 randomly sampled adults to investigate the associations between SLEs and current depressive symptoms in the general population. ResultsNumerous SLEs were uniquely associated with specific symptoms. Strong pairwise links were observed between SLEs during the past year and individual symptoms, e.g., between having experienced illness or injury and sleeping problems, having been degraded or humiliated and feeling blue, and between financial problems and hopelessness and being worried and anxious. Several SLEs, such as financial problems, sexual abuse, and having been degraded or humiliated, were associated with symptoms across more than one timepoint. More recent SLEs were generally more strongly associated with depressive symptoms. Several life events were strongly interrelated, such as multiple forms of abuse, and financial problems, unemployment, divorce, and serious illness or injury. LimitationsLimitations include a retrospective SLE measure, cross-sectional data, a brief self-report measure of depressive symptoms, and possible attrition bias in the sample. ConclusionsOur findings may have implications for public health efforts seeking to improve population mental health.

Differences in Mental Illness Stigma by Disorder and Gender: Population-Based Vignette Randomized Experiment in Rural Uganda.

Understanding and eliminating mental illness stigma is crucial for improving population mental health. In many settings, this stigma is gendered, from the perspectives of both the stigmatized and the stigmatizers. We aimed to find the differences in the level of stigma across different mental disorders while considering the gender of the study participants as well as the gender of the people depicted in the vignettes. This was a population-based, experimental vignette study conducted in Buyende District of Eastern Uganda in 2023. We created 8 vignettes describing both men and women with alcohol use disorder, major depressive disorder, generalized anxiety disorder, and schizophrenia consistent with DSM-5 criteria. Participants from 20 villages in rural Buyende District of Uganda (N=379) were first read a randomly selected vignette and administered a survey eliciting their attitudes (Personal Acceptance Scale [PAS] and Broad Acceptance Scale [BAS]) towards the person depicted in the vignette. We used analysis of variance (ANOVA) with Bonferroni-adjusted, empirical p-values to compare levels of acceptance across disorders and genders. Attitudes towards people with mental illness, as measured by the PAS, varied across different mental disorders (p=0.002). In pairwise mean comparisons, the greater acceptance of anxiety disorder vs. schizophrenia was statistically significant (Mean [SD] PAS: 2.91 [3.15] vs 1.62 [1.95], p=0.008). Secondary analyses examining differences in acceptance across gender combinations within mental disorders showed that PAS varied across gender combinations for depression (p=0.017), suggesting that acceptance is higher for women with depression than men with depression. In this population-based vignette study from rural Uganda, we found that people with schizophrenia were less accepted compared to people with anxiety disorders. We also found that there was greater acceptance of women with depression than men with depression. Anti-stigma initiatives may need to be targeted to specific disorders and genders.

Priority actions for promoting population mental health and wellbeing

Mental health promotion is an essential strategy for improving population mental health and wellbeing and preventing poor mental health. This paper outlines the case for governments to invest in promoting population mental health and wellbeing by adopting a mental health promotion approach.Drawing on a synthesis of the international evidence, findings are presented on effective mental health promotion interventions that can be feasibly implemented across the life course in everyday settings and that have the potential to be scaled-up at a country level. Based on a review of 111 meta-analyses and 57 systematic reviews, both universal and targeted interventions are identified, that have been shown to enhance good mental health, reduce the risk of mental ill-health, and advance population health and wellbeing. The implications of the findings for policy and practice are outlined.The policy structures and processes that are needed to support the delivery of evidence-based strategies at a population level are considered, including investing in the systems and capacity to ensure their sustained implementation. In particular, the need for policy models to support intersectoral action at a whole-of-government and whole-of-society level is outlined.

How might a Universal Basic Income influence UK mental health? A microsimulation modelling study

Abstract Background Universal Basic Income (UBI) may improve mental health (MH), but no studies have trialled or modelled UBI in whole populations. We simulated the MH effects of UBI on UK working-age adults. Methods Adults aged 25-64 were simulated from 2022-26 with the SimPaths microsimulation model, using data from the UK Household Longitudinal Study. SimPaths models short-term MH effects of UK tax/benefit policies via income, poverty and employment transitions. Three counterfactual UBI scenarios were modelled from 2023: ‘Partial’ (value equivalent to existing benefits), ‘Full’ (equivalent to the UK Minimum Income Standard) and ‘Full+’ (retained some means-tested benefits). Likely common mental disorder (CMD) was measured using the General Health Questionnaire (GHQ-12, score ≥4) and stratified by gender, education, and household structure. Simulations were run 1,000 times to generate 95% uncertainty intervals. Sensitivity analyses relaxed SimPaths assumptions about reduced employment resulting from Full/Full+ UBI. Results Partial UBI had little impact on poverty, employment or MH. Full UBI scenarios practically eradicated poverty, but decreased employment. Full+ UBI increased CMD prevalence by 0.38% points (0.13-0.69), equivalent to 157,951 additional CMD cases (54,036-286,805); effects were largest for men (0.63% [0.31-1.01]) and those with children (0.64% [0.18-1.14]). In our sensitivity analysis assuming minimal UBI-related employment impacts, CMD prevalence instead fell by 0.27% (-0.49, -0.05), a reduction of 112,228 cases (20,783-203,673); effects were largest for women (-0.32% [-0.65, 0.00]), those without children (-0.40 [-0.68, -0.15]) and those with least education (-0.42% [-0.97, 0.15]). MH effects waned by 2026 in all modelled scenarios. Conclusions UBI has potential to improve short-term population MH by reducing poverty, but impacts may be highly contingent on whether individuals choose to remain in employment following its introduction. Key messages • A UBI meeting living costs may slightly improve population mental health if people continue working after receiving the benefit, especially for women, the least educated, and those without children. • In a ‘worst-case scenario’, where the increased income led to maximal reductions in employment, UBI might instead worsen short-term mental health, especially for men and those with children.

Public perspectives on inequality and mental health: A peer research study.

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. 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. 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 valueand (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. 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. 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.

Societal Adaptation to Aging and Prevalence of Depression Among Older Adults: Evidence From 20 Countries.

Countries have adopted various formal and informal approaches to support older adults, which are broadly reflected in different policies, programs, and social environments. These contextual environments, broadly referred to as "societal adaptation to aging," may affect population health. We used a new theory-based measure that captured societal adaptation to aging, the Aging Society Index (ASI), which we linked with harmonized individual-level data from 89,111 older adults from 20 countries. Using multi-levels models that accounted for differences in the population composition across countries, we estimated the association between country-level ASI scores and depression prevalence. We also tested if associations were stronger among the old-old and among sociodemographic groups that experience more disadvantage (i.e., women, those with lower educational attainment, unmarried adults). We found that countries with higher ASI scores, indicating more comprehensive approaches to supporting older adults, had lower depression prevalence. We found especially strong reductions in depression prevalence among the oldest adults in our sample. However, we did not find stronger reductions among sociodemographic groups who may experience more disadvantage. Country-level strategies to support older adults may affect depression prevalence. Such strategies may become increasingly important as adults grow older. These results offer promising evidence that improvements in societal adaptation to aging-such as through adoption of more comprehensive policies and programs targeting older adults-may be one avenue to improve population mental health. Future research could investigate observed associations using longitudinal and quasi-experimental study designs, offering additional information regarding a potential causal relationship.

The Future of Public Mental Health: Challenges and Opportunities.

Policy Points Social policies such as policies advancing universal childcare to expand Medicaid coverage of home- and community-based care for seniors and people with disabilities and for universal preschool are the types of policies needed to address social determinants of poor mental health. Population-based global budgeting approaches like accountable care and total cost of care models have the potential to improve population mental health by incentivizing health systems to control costs while simultaneously improving outcomes for the populations they serve. Policies expanding reimbursement for services delivered by peer support specialists are needed. People with lived experience of mental illness are uniquely well suited to helping their peers navigate treatment and other support services.

“It’s important to manage our stress”: Mental health advice in the Australian print news media during the COVID-19 pandemic

The COVID-19 pandemic has heightened existing concerns about mental health and illness in Australia. The news media is an important source of health information, but there has been little research into how advice about mental health is communicated to the public via the news media. In this study, we examined how advice about building and maintaining mental health was discursively constructed in the news media during the COVID-19 pandemic. A discourse analytic approach informed by critical discursive psychology was employed to analyse 436 articles published in daily newspapers in Australia between 1 January and 31 December 2020, which contained references to mental health and the COVID-19 pandemic. Three main interpretative repertoires were identified – negative emotions are a risk to mental health and must be managed; risky emotions should be managed by being controlled (based around a ‘border control’ metaphor); and risky emotions should be managed by being released (based around a ‘pressure cooker’ metaphor). This study demonstrates that, amid the COVID-19 pandemic, advice constructed negative emotions as risky and problematic; and normalized the habitual management of emotions by individuals through strategies of control and release. Potential implications of such discourses for goals of improving population mental health are discussed.

Factors mitigating the harmful effects of intimate partner violence on adolescents' depressive symptoms-A longitudinal birth cohort study.

Preventing parental intimate partner violence (IPV) or mitigating its negative effects early in the lifecourse is likely to improve population mental health. However, prevention of IPV is highly challenging and we know very little about how the mental health of children exposed to IPV can be improved. This study assessed the extent to which positive experiences were associated with depressive symptoms among children with and without experience of IPV. This study used data from the Avon Longitudinal Study of Parents and Children, a population-based birth cohort. After excluding those without information on depressive symptoms at age 18, the final sample comprised 4490 participants. Parental intimate partner violence (physical or emotional cruelty reported by mother or partner) when the cohort child was aged 2-9years. Depressive symptoms were measured with the Short Mood and Feelings Questionnaire (SMFQ) at age 18years. Each additional report of parental intimate partner violence (over six reports) was associated with 0.047 (95% CI 0.027-0.066), or 4.7%, higher SMFQ score. Conversely, each additional positive experience (over 11 domains) was linked with -0.042 (95% CI -0.060 to -0.025) or 4.1%, lower SMFQ score. Among those with parental intimate partner violence (19.6% of participants), relationship with peers (effect size=3.5%), school enjoyment (effect size=1.2%), neighbourhood safety and cohesion (effect size=1.8%) were associated with lower levels of depressive symptoms. Most positive experiences were linked with lower levels of depressive symptoms regardless of parental intimate partner violence exposure. However, among those with parental IPV, this association was found only for relationships with peers, school enjoyment, neighbourhood safety and cohesion on depressive symptoms. If our findings are assumed to be causal, nurturing these factors may mitigate the harmful effects of parental intimate partner violence on depressive symptoms in adolescence.

The role of gamification in digital mental health.

The role of gamification in digital mental health.

Sanctuary city policies and Latinx immigrant mental health in California

This quasi-experimental study examined whether “sanctuary city” policies are an effective mechanism for reducing mental health inequalities by immigrant origin status in Latinx populations in California. Ample evidence indicates that people experience mental health problems when restrictive immigration policies are imposed. It remains unclear whether sanctuary city policies can improve population mental health in the groups targeted by restrictive immigration policies: undocumented immigrant Latinxs, documented immigrant Latinxs, and native-born Latinxs. We combined data on California's 482 cities concerning whether and when they implemented a sanctuary policy with health data on approximately 142,000 adults, 6400 adolescents and 13,000 children from the multi-year California Health Interview Survey. After using propensity score matching to identify non-sanctuary cities comparable to sanctuary cities, we estimated respondent-level difference-in-differences models to determine whether sanctuary city policies had beneficial mental health effects on three age groups: adults, adolescents, and children during the period 2007–2018. There was a trend toward improved mental health in sanctuary cities after policy enactment, but the patterns of mental health in the three Latinx immigration sub-groups of each age group did not conform to our hypotheses. Buffering the adverse effects of harsh federal immigration policies may need to involve other approaches, such as expanded local mental health care access. We discuss these results in terms of alternative treatment interference, residents' policy awareness, the policy's capacity to address past health impacts, methodological issues, and potential policy momentum.

Telemedicine Interventions as an Attempt to Improve the Mental Health of Populations during the COVID-19 Pandemic-A Narrative Review.

Published reports indicate the need for psychological interventions and the integration of psychiatric care into crisis management plans in people with mental health issues caused by the COVID-19 pandemic. It seems crucial to identify the root causes of the health-social-economic crisis and identify potential opportunities for widely implemented psychological assistance. This narrative literature review aims to identify the types of interventions deployed as telemedicine-based mental health support and their effectiveness. The PubMed and Web of Science electronic databases were searched. From a total of 48 articles, 46 were analysed after removing duplicates. From these, thirty-seven records were excluded according to the inclusion criteria and nine (eight RCT and one cross-over) were assessed as full texts. The included publications were randomised clinical trials or cross-over studies focused on remote mental support interventions. In all studies, participants represented both sexes and had an average age range of 6-64. Studies included participants from seven countries and the overall number of participants in the included studies was 687. The content of these intervention programmes includes both established psychotherapeutic programmes, as well as new interventions. Remote support was implemented through three approaches: phone/video calls, mobile applications, and internet-based programs. The results of the included studies indicate a higher or equal efficacy of telemedicine interventions compared to traditional forms. The review also revealed a relatively wide range of targeted research groups: from children with social anxiety through to their caregivers; adolescents with neurological disorders; and from college students to adults with psychiatric or orthopaedic disorders. Analysis of the included papers found that telemedicine interventions show promising results as an attempt to improve population mental health during the COVID-19 pandemic.