Background-This study examined the relation between three variables related to adoptive family relationships (post-adoption contact between adoptive and birth family members, adoption communicative openness, and satisfaction with contact) and adoptee externalizing behavior in adolescence and emerging adulthood.

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Introduction The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households, and COVID-19 in New York City (NYC). Methods We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as proportion of estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. Results 39,923 suspected COVID-19 cases presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (β interaction = 0.99, 95% CI: 0.99-1.00). Conclusions Over-crowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

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Post-traumatic stress disorder (PTSD) induced by life-threatening medical events has been associated with adverse physical and mental health outcomes, but it is unclear whether early interventions to prevent the onset of PTSD after these events are efficacious. We conducted a systematic review to address this need. We searched six biomedical electronic databases from database inception to October 2018. Eligible studies used randomized designs, evaluated interventions initiated within 3 months of potentially traumatic medical events, included adult participants, and did not have high risk of bias. The 21 included studies (N = 4,486) assessed a heterogeneous set of interventions after critical illness (9), cancer diagnosis (8), heart disease (2), and cardiopulmonary surgery (2). Fourteen psychological, 2 pharmacological, and 5 other-type interventions were assessed. Four of the psychological interventions emphasizing cognitive behavioral therapy or meaning-making, 1 other-type palliative care intervention, and 1 pharmacological-only intervention (hydrocortisone administration) were efficacious at reducing PTSD symptoms relative to control. One early, in-hospital counseling intervention was less efficacious at lowering PTSD symptoms than an active control. Clinical and methodological heterogeneity prevented quantitative pooling of data. While several promising interventions were identified, strong evidence of efficacy for any specific early PTSD intervention after medical events is currently lacking.

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Objective: Medical events such as myocardial infarction and cancer diagnosis can induce symptoms of posttraumatic stress disorder (PTSD). The optimal treatment of PTSD symptoms in this context is unknown.Methods: A literature search of 6 biomedical electronic databases was conducted from database inception to November 2018. Studies were eligible if they used a randomized design and evaluated the effect of treatments on medical event-induced PTSD symptoms in adults. A random effects model was used to pool data when two or more comparable studies were available.Results: Six trials met full inclusion criteria. Studies ranged in size from 21 to 81 patients, and included patients with PTSD induced by cardiac events, cancer, HIV, multiple sclerosis, and stem *

Introduction: The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households, and COVID-19 in New York City (NYC). Methods: We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as proportion of estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. Results: 39,923 suspected COVID-19 cases presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (βinteraction = 0.99, 95% CI: 0.99-1.00). Conclusions: Over-crowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.