Deaths from COVID-19 continue to rise, and this virus has asymmetric impacts on marginalized communities though specific impacts on sexual and gender minority communities are not well understood. From March 23 to June 20, 2020, in an online cross-sectional survey among 1380 US adults, we assessed physical symptoms, psychological symptoms, rumination, and perceived social support in order to describe differences between sexual and gender minority (n = 290) and cisgender heterosexual (n = 1090) respondents. Sexual and gender minority respondents had more frequent COVID-19-associated physical symptoms and depression and anxiety symptoms. Sexual and gender minorities had a significantly higher proportion of depression and anxiety scores exceeding the clinical concern threshold. Longitudinal studies on the physical and psychological impacts of COVID-19 among sexual and gender minority communities are needed to inform interventions to eliminate these disparities.

Background: Living arrangements, social support, and self-efficacy have significant implications for self-management science. Despite the theoretical linkages among the 3 concepts, there is limited empirical evidence about their interplay and the subsequent influence on heart failure (HF) self-management. Objective: The aim of this study was to validate components of the Individual and Family Self-management Theory among individuals with HF. Methods: This is a secondary analysis of cross-sectional data generated from a sample of 370 individuals with HF. A path analysis was conducted to examine the indirect and direct associations among social environment (living arrangements), social facilitation (social support) and belief (self-efficacy) processes, and self-management behaviors (HF self-care maintenance) while accounting for individual and condition-specific factors (age, sex, race, and HF disease severity). Results: Three contextual factors (living arrangements, age, and HF disease severity) had direct associations with perceived social support and self-efficacy, which in turn were positively associated with HF self-management behaviors. Living alone (β = −.164, P = .001) was associated with lower perceived social support, whereas being an older person (β = .145, P = .004) was associated with better support. Moderate to severe HF status (β = −.145, P = .004) or higher levels of perceived social support (β = .153, P = .003) were associated with self-efficacy. Conclusions: Our results support the Individual and Family Self-management Theory, highlighting the importance of social support and self-efficacy to foster self-management behaviors for individuals with HF. Future research is needed to further explore relationships among living arrangements, perceived and received social support, self-efficacy, and HF self-management.

Objective: The purpose of this systematic review was to synthesize the existing literature on the associations between historic redlining and modern‐day health outcomes across the lifespan.Method: This review searched PubMed and CINAHL for peer‐reviewed, data‐based articles examining the relationship between historic redlining and any health outcome. Articles were appraised using the JBI critical appraisal checklist. The results were synthesized using a narrative summary approach.Results: Thirty‐six articles were included and focused on various health outcomes, including cardiovascular outcomes, breast cancer incidence and mortality, firearm injury or death, birth‐related outcomes, and asthma outcomes. Most of the included articles (n = 31; 86%) found significant associations between historic redlining and adverse health outcomes such as increased cardiovascular disease, higher rates of preterm births, increased cancer incidence, reduced survival time after breast cancer diagnosis, and increased firearm injury incidence.Discussion: This review demonstrates the persistent effect of historic redlining on individuals’ health. Public health nurses should recognize redlining as a form of structural racism when caring for affected communities and should advocate for policies and programs that advance health equity. Nurse researchers should develop and test multilevel interventions to address systemic racism and improve health outcomes in communities affected by redlining.

Sexual and gender minority (SGM) populations experience extensive health disparities compared to their straight and cisgender counterparts. The importance of addressing these disparities is paramount, as SGM groups often encounter significant barriers to accessing comprehensive healthcare, including societal stigma, provider bias, and financial constraints. This study utilizes a community-based system dynamics approach to understand and visualize the barriers to and facilitators of healthcare engagement for SGM groups across their life course. It aims to identify core constructs, relationships, and dynamic feedback mechanisms related to the experiences of connection/disconnection with physical, mental, and dental healthcare of SGM individuals. Barriers to access, such as discriminatory practices and the limited availability of SGM-informed healthcare professionals, exacerbate these disparities, underscoring the urgency of developing targeted interventions. System dynamics, a complex systems science (CSS) methodology, was used for this research. Group model building sessions were conducted with diverse SGM groups, including youth, older adults, and trans and gender-expansive community members. Causal loop diagrams were developed according to an iterative process, and a meta-model of their collective experiences was created. The study revealed extensive, dynamic, and shifting structural barriers for SGM community members accessing healthcare. Societal and structural stigma, provider bias, and pathologization were identified as significant barriers throughout their life course. Community-led interventions and SGM-focused holistic healthcare were identified as critical facilitators of SGM healthcare connection. The findings highlight the need for SGM-affirming and culturally responsive healthcare settings. This paper calls for a concerted effort from SGM health researchers to use CSS in developing interventions to reduce SGM health disparities.