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Background Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens in blood has high sensitivity in adults with acute coronavirus disease 2019 (COVID-19), but sensitivity in pediatric patients is unclear. Recent data suggest that persistent SARS-CoV-2 spike antigenemia may contribute to multisystem inflammatory syndrome in children (MIS-C). We quantified SARS-CoV-2 nucleocapsid (N) and spike (S) antigens in blood of pediatric patients with either acute COVID-19 or MIS-C using ultrasensitive immunoassays (Meso Scale Discovery). Methods Plasma was collected from inpatients (<21 years) enrolled across 15 hospitals in 15 US states. Acute COVID-19 patients (n = 36) had a range of disease severity and positive nasopharyngeal SARS-CoV-2 RT-PCR within 24 hours of blood collection. Patients with MIS-C (n = 53) met CDC criteria and tested positive for SARS-CoV-2 (RT-PCR or serology). Controls were patients pre–COVID-19 (n = 67) or within 24 hours of negative RT-PCR (n = 43). Results Specificities of N and S assays were 95–97% and 100%, respectively. In acute COVID-19 patients, N/S plasma assays had 89%/64% sensitivity; sensitivities in patients with concurrent nasopharyngeal swab cycle threshold (Ct) ≤ 35 were 93%/63%. Antigen concentrations ranged from 1.28–3844 pg/mL (N) and 1.65–1071 pg/mL (S) and correlated with disease severity. In MIS-C, antigens were detected in 3/53 (5.7%) samples (3 N-positive: 1.7, 1.9, 121.1 pg/mL; 1 S-positive: 2.3 pg/mL); the patient with highest N had positive nasopharyngeal RT-PCR (Ct 22.3) concurrent with blood draw. Conclusions Ultrasensitive blood SARS-CoV-2 antigen measurement has high diagnostic yield in children with acute COVID-19. Antigens were undetectable in most MIS-C patients, suggesting that persistent antigenemia is not a common contributor to MIS-C pathogenesis. [ABSTRACT FROM AUTHOR]

Mental health stigma has been identified as a barrier to help-seeking in the United States. This may be particularly salient for military personnel who tend to report higher mental health stigma than the general population. Evidence suggests that both supportive and destructive military leadership are related to service members' attitudes toward seeking help. In the current study, a sample of military service members and Veterans (N = 232) completed an online survey regarding mental health stigma, previous experiences with military leaders, and mental health help-seeking behaviors. Findings indicated that destructive and supportive leadership experiences were significantly related to self stigma, public stigma, and help-seeking. Military members and Veterans who experienced destructive leadership were more likely to report internalized mental health stigma, which decreased the likelihood of seeking help. Supportive leadership, on the other hand, was associated with greater likelihood of seeking help for mental health concerns, and was indirectly related to help-seeking through lower self-stigma. Findings suggest that the military leadership style plays a significant role in service members' and Veterans' willingness to seek assistance for mental health concerns. [ABSTRACT FROM AUTHOR]

Background and Objectives: Military service is a stressful occupation, including increased risk for psychological distress. In order to provide the best care for service members and veterans (SMVs), it is important to understand personality and behavioral patterns associated with negative outcomes. This study examined links between attachment processes, coping styles, problematic alcohol use and psychological distress. Design: Using a cross-sectional, correlational design, a multi-instrument survey was administered to participants either online or in-person. Methods: Veterans and active duty service members ( N  = 268) completed measures of adult attachment, coping styles, alcohol use, and psychological symptoms. Results: Attachment avoidance was positively associated with avoidant coping, alcohol use, depression, and PTSD symptoms, but negatively related to problem-focused coping. Attachment anxiety was associated with avoidant coping, depression, GAD, and PTSD symptoms. Avoidant coping, but not problem-focused coping, was associated with psychological symptoms, and significant indirect relationships were noted between insecure attachment processes, avoidant coping, and psychological symptoms. Conclusion: Findings highlight personality and behavioral factors that may be important treatment foci when working with SMVs. Future studies should evaluate this model using longitudinal designs.

Objective: Initiatives to reduce neighborhood-based health disparities require access to meaningful, timely, and local information regarding health behavior and its determinants. We examined the validity of Twitter as a source of information for neighborhood-level analysis of dietary choices and attitudes., Materials and Methods: We analyzed the "healthiness" quotient and sentiment in food-related tweets at the census tract level, and associated them with neighborhood characteristics and health outcomes. We analyzed keywords driving the differences in food healthiness between the most and least-affluent tracts, and qualitatively analyzed contents of a random sample of tweets., Results: Significant, albeit weak, correlations existed between healthiness and sentiment in food-related tweets and tract-level measures of affluence, disadvantage, race, age, U.S. density, and mortality from conditions associated with obesity. Analyses of keywords driving the differences in food healthiness revealed foods high in saturated fat (eg, pizza, bacon, fries) were mentioned more frequently in less-affluent tracts. Food-related discussion referred to activities (eating, drinking, cooking), locations where food was consumed, and positive (affection, cravings, enjoyment) and negative attitudes (dislike, personal struggles, complaints)., Discussion: Tweet-based healthiness scores largely correlated with offline phenomena in the expected directions. Social media offer less resource-intensive data collection methods than traditional surveys do. Twitter may assist in informing local health programs that focus on drivers of food consumption and could inform interventions focused on attitudes and the food environment., Conclusions: Twitter provided weak but significant signals concerning food-related behavior and attitudes at the neighborhood level, suggesting its potential usefulness for informing local health disparity reduction efforts., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association.)