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This book represents new advances in social work education, focusing on mental disorders as an interaction among neurobiology, genetics, and ecological social systems. It is suitable for courses in psychopathology, practice, and human behavior. By addressing neurobiology and environment students gain a knowledge of evidence-based individual, family, and community practice.

The search for the genetic factors underlying complex neuropsychiatric disorders has proceeded apace in the past decade. Despite some advances in identifying genetic variants associated with psychiatric disorders, most variants have small individual contributions to risk. By contrast, disease risk increase appears to be less subtle for disease-predisposing environmental insults. In this study, we sought to identify associations between environmental pollution and risk of neuropsychiatric disorders. We present exploratory analyses of 2 independent, very large datasets: 151 million unique individuals, represented in a United States insurance claims dataset, and 1.4 million unique individuals documented in Danish national treatment registers. Environmental Protection Agency (EPA) county-level environmental quality indices (EQIs) in the US and individual-level exposure to air pollution in Denmark were used to assess the association between pollution exposure and the risk of neuropsychiatric disorders. These results show that air pollution is significantly associated with increased risk of psychiatric disorders. We hypothesize that pollutants affect the human brain via neuroinflammatory pathways that have also been shown to cause depression-like phenotypes in animal studies.

Background Police responses to people with serious mental illness (SMI) disproportionately result in negative outcomes, underscoring the importance of understanding the factors that may influence how police respond to mental health crises. Little research has examined officer attitudes toward mental illness, and no study has examined implicit bias toward mental illness among police officers or how bias and police departmental climate may impact outcomes in mental health crises. The present study assesses the role of explicit and implicit bias toward mental illness, as well as departmental climate, on police officer decision-making in a mental health crisis. Methods Police officers in the United States ( n  = 198) were recruited from personal contacts, emails to leadership and administration in police departments, and Police1 (a policing blog). Police officers completed self-report questionnaires, two implicit association tests, a police organizational climate measure, and questions related to use of force, arrest, mental health transport, and no action decisions based on a written vignette of an officer encounter with a person with SMI. Results Results demonstrate police officers who desired greater social distance from people with SMI were less likely to transport them to mental health services, whereas those who endorsed higher levels of microaggressions against people with SMI were more likely to transport them to services. Additionally, officers with more negative attitudes toward mental illness were less likely to take action in a mental health crisis. Finally, officer-related procedurally just organizational climate moderated the relationship between bias and officer decision-making: those with the lowest ratings of officer-related organizational climate, and highest levels of implicit bias toward people with SMI, were least likely to transport a person with SMI to services or take action in a mental health crisis. Discussion Overall, this study has implications for how police respond to people with SMI in mental health crises and its findings may inform efforts to reduce adverse outcomes related to these interactions.

Background Addressing non-communicable disease (NCDs) is a global priority in the Sustainable Development Goals, especially for adolescents. However, existing literature on NCD burden, risk factors and determinants, and effective interventions and policies for targeting these diseases in adolescents, is limited. This study develops an evidence-based conceptual framework, and highlights pathways between risk factors and interventions to NCD development during adolescence (ages 10–19 years) and continuing into adulthood. Additionally, the epidemiologic profile of key NCD risk factors and outcomes among adolescents and preventative NCD policies/laws/legislations are examined, and a multivariable analysis is conducted to explore the determinants of NCDs among adolescents and adults. Methods We reviewed literature to develop an adolescent-specific conceptual framework for NCDs. Global data repositories were searched from Jan-July 2018 for data on NCD-related risk factors, outcomes, and policy data for 194 countries from 1990 to 2016. Disability-Adjusted Life Years were used to assess disease burden. A hierarchical modeling approach and ordinary least squares regression was used to explore the basic and underlying causes of NCD burden. Results Mental health disorders are the most common NCDs found in adolescents. Adverse behaviours and lifestyle factors, specifically smoking, alcohol and drug use, poor diet and metabolic syndrome, are key risk factors for NCD development in adolescence. Across countries, laws and policies for preventing NCD-related risk factors exist, however those targeting contraceptive use, drug harm reduction, mental health and nutrition are generally limited. Many effective interventions for NCD prevention exist but must be implemented at scale through multisectoral action utilizing diverse delivery mechanisms. Multivariable analyses showed that structural/macro, community and household factors have significant associations with NCD burden among adolescents and adults. Conclusions Multi-sectoral efforts are needed to target NCD risk factors among adolescents to mitigate disease burden and adverse outcomes in adulthood. Findings could guide policy and programming to reduce NCD burden in the sustainable development era.

On April 26, 1986, Unit Four of the Chernobyl nuclear reactor exploded in then Soviet Ukraine. More than 3.5 million people in Ukraine alone, not to mention many citizens of surrounding countries, are still suffering the effects.Life Exposedis the first book to comprehensively examine the vexed political, scientific, and social circumstances that followed the disaster. Tracing the story from an initial lack of disclosure to post-Soviet democratizing attempts to compensate sufferers, Adriana Petryna uses anthropological tools to take us into a world whose social realities are far more immediate and stark than those described by policymakers and scientists. She asks: What happens to politics when state officials fail to inform their fellow citizens of real threats to life? What are the moral and political consequences of remedies available in the wake of technological disasters? Through extensive research in state institutions, clinics, laboratories, and with affected families and workers of the so-called Zone, Petryna illustrates how the event and its aftermath have not only shaped the course of an independent nation but have made health a negotiated realm of entitlement. She tracks the emergence of a \"biological citizenship\" in which assaults on health become the coinage through which sufferers stake claims for biomedical resources, social equity, and human rights.Life Exposedprovides an anthropological framework for understanding the politics of emergent democracies, the nature of citizenship claims, and everyday forms of survival as they are interwoven with the profound changes that accompanied the collapse of the Soviet Union.

Background Pregnancy is a time of profound physical and emotional change as well as an increased risk of mental illness. While strengthening social support is a common recommendation to reduce such mental health risk, no systematic review or meta-analysis has yet examined the relationship between social support and mental problems during pregnancy. Methods The PRISMA checklist was used as a guide to systematically review relevant peer-reviewed literature reporting primary data analyses. PubMed, Psych Info, MIDIRS, SCOPUS, and CINAHL database searches were conducted to retrieve research articles published between the years 2000 to 2019. The Newcastle–Ottawa Scale tool was used for quality appraisal and the meta-analysis was conducted using STATA. The Q and the I 2 statistics were used to evaluate heterogeneity. A random-effects model was used to pool estimates. Publication bias was assessed using a funnel plot and Egger’s regression test and adjusted using trim and Fill analysis. Result From the identified 3760 articles, 67 articles with 64,449 pregnant women were part of the current systematic review and meta-analysis. From the total 67 articles, 22 and 45 articles included in the narrative analysis and meta-analysis, respectively. From the total articles included in the narrative analysis, 20 articles reported a significant relationship between low social support and the risk of developing mental health problems (i.e. depression, anxiety, and self-harm) during pregnancy. After adjusting for publication bias, based on the results of the random-effect model, the pooled odds ratio (POR) of low social support was AOR: 1.18 (95% CI: 1.01, 1.41) for studies examining the relationship between low social support and antenatal depression and AOR: 1.97 (95% CI: 1.34, 2.92) for studies examining the relationship between low social support and antenatal anxiety. Conclusion Low social support shows significant associations with the risk of depression, anxiety, and self-harm during pregnancy. Policy-makers and those working on maternity care should consider the development of targeted social support programs with a view to helping reduce mental health problems amongst pregnant women. Plain language summary Pregnancy is a significant event for reproductive-age women. It is supplemented by hormonal changes and can represent a time of increased risk for the occurrence of mental illness like depression, anxiety and self-harm. Providing good social support for the pregnant mother reduce this risk and prevent pregnancy complication and adverse birth outcome. However, no systematic review and/or meta-analysis has explored the associations between social support and mental illness (depression, anxiety, self-harm) among pregnant women. Therefore, this systematic review and meta-analysis aimed to examine the association between social support and mental illness (anxiety, depression, and self-harm) during pregnancy. The review identified 67 relevant articles with 64,449 pregnant women, from PubMed, Psych Info, MIDIRS, SCOPUS, and CINAHL database. Of the total 67 articles, 22 articles included in the narrative review and 45 articles included in the meta-analysis. Among studies included in the narrative synthesis, a majority of them reported significant positive associations between low social support and antenatal depression, antenatal anxiety and self-harm during pregnancy. Further, the pooled estimates of the meta-analysis show that low social support had a significant positive association with antenatal depression (AOR: 1.18 (95% CI: 1.01, 1.41)) and antenatal anxiety (AOR: 1.97 (95% CI: 1.34, 2.92)). Therefore, maternal health professionals need to have discussions with pregnant women regarding the level and source of social support they receive. Maternal health professionals may also need to consider encouraging the social network of pregnant women to improve social support being given. Policy-makers and those working on maternity care should consider the development of targeted social support programs with a view to helping reduce mental health problems amongst pregnant women.

Introduction Health care systems have failed to address the poor physical health outcomes of people living with severe mental illness. Interventions that focus on specific health behaviours and/or lack a co-design basis show little promise. There is a need for whole systems approaches that tackle the complex issues, including social isolation, discrimination, stigma, and low motivation, that influence poor health in this population. A social prescribing model that accommodates the needs and preferences may be a way forward. Methods A mixed methods approach that assesses the CHOICE model (Challenging Health Outcomes Integrating Care Environments) in relation to (a) the social exclusion, loneliness and social support of a cohort of people living in the community; (b) participants’ experience of social prescribing and potential improvements to the intervention; (c) understanding the implementation factors, mechanisms and outcomes; (d) the engagement and sustainment of community partnerships; (e) institutional changes in policy and practice. Discussion Codesigned and community-based participatory interventions may be crucial in tackling the health and social inequalities experienced by people with severe mental illness. However, given the complexity of such interventions, the social prescribing model that we describe in this paper, requires considerable implementation data prior to a full trial.

Background There is an urgent need for knowledge about the mental health consequences of the ongoing pandemic. The aim of this study was to identify vulnerability factors for psychological distress and reduced life satisfaction in the general population. Furthermore, we aimed to assess the role of COVID-related worries for psychological distress and life satisfaction. Methods A presumed representative sample for the Norwegian population ( n  = 1041, response rate = 39.9%) responded to a web-survey in May 2020. The participants were asked about potential vulnerability factors including increased risk for severe illness from COVID-19 (underlying illness, older age), socioeconomic disadvantage (living alone, unemployment, economic problems), and pre-existing mental health vulnerability (recent exposure to violence, previous mental health challenges). Additional measures included COVID-related worry, psychological distress, and life satisfaction. Results More than one out of four reported current psychological distress over the threshold for clinically significant symptoms. Socioeconomic disadvantages, including living alone and pre-existing economic challenges, and pre-existing mental health vulnerabilities, including recent exposure to violence and previous mental health problems, were associated with a higher level of psychological distress and a lower level of life satisfaction. A higher level of COVID-related worry was significantly associated with a higher level of psychological distress, and a lower level of life satisfaction, even when adjusting for all the vulnerability factors. Conclusion This study identified several vulnerability factors for mental health problems in the pandemic. Individuals recently exposed to violence and individuals with pre-existing mental health problems are at particular risk. Worrying about the consequences of the pandemic contributes negatively to current mental health. However, worry cannot explain the excess distress in vulnerable groups. Future research should focus on how COVID-related strains contribute to mental health problems for vulnerable groups.

Background Both physical and psychological health outcomes have been associated with exposure to environmental noise. Noise sensitivity could have the same moderating effect on physical and psychological health outcomes related to environmental noise exposure as on annoyance but this has been little tested. Methods A cohort of 2398 men between 45 and 59 years, the longitudinal Caerphilly Collaborative Heart Disease study, was established in 1984/88 and followed into the mid-1990s. Road traffic noise maps were assessed at baseline. Psychological ill-health was measured in phase 2 in 1984/88, phase 3 (1989/93) and phase 4 (1993/7). Ischaemic heart disease was measured in clinic at baseline and through hospital records and records of deaths during follow up. We examined the longitudinal associations between road traffic noise and ischaemic heart disease morbidity and mortality using Cox Proportional Hazard Models and psychological ill-health using Logistic Regression; we also examined whether noise sensitivity and noise annoyance might moderate these associations. We also tested if noise sensitivity and noise annoyance were longitudinal predictors of ischaemic heart disease morbidity and mortality and psychological ill-health. Results Road traffic noise was not associated with ischaemic heart disease morbidity or mortality. Neither noise sensitivity nor noise annoyance moderated the effects of road traffic noise on ischaemic heart disease morbidity or mortality. High noise sensitivity was associated with lower ischaemic heart disease mortality risk (HR = 0.74, 95%CI 0.57, 0.97). Road traffic noise was associated with Phase 4 psychological ill-health but only among those exposed to 56-60dBA (fully adjusted OR = 1.82 95%CI 1.07, 3.07). Noise sensitivity moderated the association of road traffic noise exposure with psychological ill-health. High noise sensitivity was associated longitudinally with psychological ill-health at phase 3 (OR = 1.85 95%CI 1.23, 2.78) and phase 4 (OR = 1.65 95%CI 1.09, 2.50). Noise annoyance predicted psychological ill-health at phase 4 (OR = 2.47 95%CI 1.00, 6.13). Conclusions Noise sensitivity is a specific predictor of psychological ill-health and may be part of a wider construct of environmental susceptibility. Noise sensitivity may increase the risk of psychological ill-health when exposed to road traffic noise. Noise annoyance may be a mediator of the effects of road traffic noise on psychological ill-health.