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Stigma and discrimination toward individuals experiencing homelessness and mental disorders remain pervasive across societies. However, there are few longitudinal studies of stigma and discrimination among homeless adults with mental illness. This study aimed to identify the two-year group trajectories of stigma and discrimination and examine the predictive role of mental health characteristics among 414 homeless adults with mental illness participating in the extended follow-up phase of the Toronto At Home/Chez Soi (AH/CS) randomized trial site. Mental health-related perceived stigma and discrimination were measured at baseline, one, and two years using validated scales. Group-based-trajectory modelling was used to identify stigma and discrimination group trajectory memberships and the effect of the Housing First treatment (rent supplements and mental health support services) vs treatment as usual on these trajectories. The associations between mental health-related characteristics and trajectory group memberships were also assessed using multinomial logistic regression. Over two-years, three group trajectories of stigma and discrimination were identified. For discrimination, participants followed a low, moderate, or increasingly high discrimination group trajectory, while for stigma, participants followed a low, moderate or high stigma group trajectory. The Housing First treatment had no significant effect on discrimination or stigma trajectories groups. For the discrimination trajectories, major depressive episode, mood disorder with psychotic features, alcohol abuse, suicidality, severity of mental health symptoms, and substance use severity in the previous year were predictors of moderate and increasingly high discrimination trajectories. History of discrimination within healthcare setting was also positively associated with following a moderate or high discrimination trajectory. For the stigma trajectories, substance dependence, high mental health symptoms severity, substance use severity, and discrimination experiences within healthcare settings were the main predictors for the moderate trajectory group; while substance dependence, suicidality, mental health symptom severity, substance use severity and discrimination experiences within health care setting were also positive predictors for the high stigma trajectory group. Ethno-racial status modified the association between having a major depression episode, alcohol dependence, and the likelihood of being a member of the high stigma trajectory group. This study showed that adults experiencing mental illness and homelessness followed distinct stigma and discrimination group trajectories based on their mental health-problems. There is an urgent need to increase focus on strategies and policies to reduce stigma and discrimination in this population.

Research suggests that individuals experiencing homelessness have high rates of overweight and obesity. Unhealthy weights and homelessness are both associated with increased risk of poor health and mortality. Using longitudinal data from 575 participants at the Toronto site of the At Home/Chez Soi randomized controlled trial, we investigate the impact of receiving a Housing First intervention on the Body Mass Index (BMI) and waist circumference of participants with moderate and high needs for mental health support services. The ANCOVA results indicate that the intervention resulted in no significant change in BMI or waist circumference from baseline to 24 months. The findings suggest a need for a better understanding of factors contributing to overweight, obesity, and high waist circumference in populations who have histories of housing precarity and experience low-income in tandem with other concerns such as mental illness and addictions. International Standard Randomized Control Trial Number Register ISRCTN42520374.

Since after the second world war there has been an increasing number of studies investigating secular changes in adolescent mental health. Although no general trends could be outlined, the majority of studies show at least partial deterioration of psychological wellbeing from year 2000 on. Our study adds to this knowledge by exploring changes in self-declared emotional and behavioral problems in Poland, which is a part of post-communist Europe. In this paper, we compared responses on the Youth Self-Report by Polish 16-year-olds from 2000 and those from 2011. Two independent samples consisted of 259 (year 2000) and 185 (year 2011) 16-year-olds of both genders, drawn from randomized, normative, school-based groups. We analyzed linear, ordinal and binary logistic regression models. The results revealed that teenagers from 2011 reported more self-rated internalizing and total problems. Social and thought problems also rose significantly. Gender related time trends hint at a male increase in externalizing, aggressive behaviors and anxiety/depression. Caseness rose significantly in most scales with female gender being an additional risk factor for internalizing and total problems. No reduction in self-reported emotional and behavioral problems was detected.

Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies’ programming. However, state of the art models often rely on proprietary data and/or deep or transfer learning methods whose underlying mechanics may be challenging to interpret. We demonstrate how interpretable random forest models can produce estimates of a set of (potentially correlated) malnutrition and poverty prevalence measures using free, open access, regularly updated, georeferenced data. We demonstrate two use cases: contemporaneous prediction, which might be used for poverty mapping, geographic targeting, or monitoring and evaluation tasks, and a sequential nowcasting task that can inform early warning systems. Applied to data from 11 low and lower-middle income countries, we find predictive accuracy broadly comparable for both tasks to prior studies that use proprietary data and/or deep or transfer learning methods.

During the last 30 years, there has been a substantial increase in the study of posttraumatic stress disorder (PTSD). Several high-profile traumatic events, such as the wars in Afghanistan and Iraq, and the terrorist attacks of September 11 on the World Trade Center, have led to a greater public interest in the risk and protective factors for PTSD. In this In Review paper, I discuss some of the important advances in PTSD. The paper provides a concise review of the evolution of PTSD diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, impact of PTSD in the community, an overview of the established risk factors for developing PTSD, and assessment and treatment. Throughout the paper, controversies and clinical implications are discussed.

Although research has examined factors associated with child sexual exploitation (CSE), consensus is lacking in regard to which factors should be prioritized, thereby hindering policy reform, prevention efforts, and development of early detection and intervention. To provide a meta-analytic synthesis of studies examining factors associated with CSE and to quantify their relative importance. Electronic databases searched to June 2019 included Medline, PsycINFO, the Cumulative Index to Nursing and Allied Health Literature, EMBASE, and Informit, yielding 396 nonduplicative records. Literature search was performed in July 2019. Inclusion criteria were quantitative investigations of sexual exploitation and mean sample age of 18 years or younger. Literature review and data extraction followed Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Thirty-seven studies met final inclusion criteria. Two independent reviewers extracted all relevant data. Random-effects meta-analyses were used to derive odds ratios (ORs) for each factor. Data were analyzed from September 1 to October 28, 2019, and prediction intervals calculated in June 2020. Child sexual exploitation, defined as coerced sexual acts between a child or a young person (aged ≤18 years) and an individual or a group in exchange for money, gifts, substances, or other commodities and associated factors. Thirty-seven unique studies were included with a total of 67 453 unique participants (mean [SD] age of 16.2 [2.5] years; 49.9% female). Fifty-two factors associated with CSE were included in the meta-analysis. The strongest factors significantly associated with exposure to sexual exploitation were engagement in sexual risk behaviors (OR, 6.31 [95% CI, 3.12-12.76]; P < .001), having more than 5 sexual partners (OR, 5.96 [95% CI, 1.63-21.87]; P = .007), a diagnosis of posttraumatic stress disorder (OR, 5.29 [95% CI, 3.40-8.22]; P < .001), historical exposure to child pornography (OR, 5.50 [95% CI, 0.99-30.53]; P = .049), and a history of childhood sexual abuse (OR, 3.80 [95% CI, 3.19-4.52]; P < .001). A number of other potentially modifiable factors had moderate to strong associations. In this systematic review and meta-analysis, children and adolescents affected by sexual exploitation showed high levels of sexual risk taking, multiple sexual partners, posttraumatic stress disorder, exposure to child pornography, and childhood trauma. Accurate detection of CSE may prevent this type of sexual violence occurring to adolescents and/or provide opportunities for intervention and recovery. Therefore, prevention and intervention efforts will likely benefit from integrating these factors into screening, assessment, and treatment.

Two large earthquakes in 2015 caused widespread destruction in Nepal. This study aimed to examine frequency of common mental health and psychosocial problems and their correlates following the earthquakes. A stratified multi-stage cluster sampling design was employed to randomly select 513 participants (aged 16 and above) from three earthquake-affected districts in Nepal: Kathmandu, Gorkha and Sindhupalchowk, 4 months after the second earthquake. Outcomes were selected based on qualitative preparatory research and included symptoms of depression and anxiety (Hopkins Symptom Checklist-25); post-traumatic stress disorder (PTSD Checklist-Civilian); hazardous alcohol use (AUDIT-C); symptoms indicating severe psychological distress (WHO-UNHCR Assessment Schedule of Serious Symptoms in Humanitarian Settings (WASSS)); suicidal ideation (Composite International Diagnostic Interview); perceived needs (Humanitarian Emergency Settings Perceived Needs Scale (HESPER)); and functional impairment (locally developed scale). A substantial percentage of participants scored above validated cut-off scores for depression (34.3%, 95% CI 28.4-40.4) and anxiety (33.8%, 95% CI 27.6-40.6). Hazardous alcohol use was reported by 20.4% (95% CI 17.1-24.3) and 10.9% (95% CI 8.8-13.5) reported suicidal ideation. Forty-two percent reported that 'distress' was a serious problem in their community. Anger that was out of control (symptom from the WASSS) was reported by 33.7% (95% CI 29.5-38.2). Fewer people had elevated rates of PTSD symptoms above a validated cut-off score (5.2%, 95% CI 3.9-6.8), and levels of functional impairment were also relatively low. Correlates of elevated symptom scores were female gender, lower caste and greater number of perceived needs. Residing in Gorkha and Sindhupalchowk districts and lower caste were also associated with greater perceived needs. Higher levels of impaired functioning were associated with greater odds of depression and anxiety symptoms; impaired functioning was less strongly associated with PTSD symptoms. Four months after the earthquakes in Nepal, one out of three adults experienced symptoms of depression and distressing levels of anger, one out of five engaged in hazardous drinking, and one out of ten had suicidal thoughts. However, posttraumatic stress symptoms and functional impairment were comparatively less frequent. Taken together, the findings suggest that there were significant levels of psychological distress but likely low levels of disorder. The findings highlight the importance of indicated prevention strategies to reduce the risk of distress progressing to disorder within post-disaster mental health systems of care.

Each year, more than 10 million people enter US jails, most returning home within a few weeks. Because jails concentrate people with infectious and chronic diseases, substance abuse, and mental health problems, and reentry policies often exacerbate these problems, the experiences of people leaving jail may contribute to health inequities in the low-income communities to which they return. Our study of the experiences in the year after release of 491 adolescent males and 476 adult women returning home from New York City jails shows that both populations have low employment rates and incomes and high rearrest rates. Few received services in jail. However, overall drug use and illegal activity declined significantly in the year after release. Postrelease employment and health insurance were associated with lower rearrest rates and drug use. Public policies on employment, drug treatment, housing, and health care often blocked successful reentry into society from jail, suggesting the need for new policies that support successful reentry into society.