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Chronic obstructive pulmonary disease (COPD), a leading cause of disability and death in the U.S., disproportionately affects rural residents.[1] Rural counties experience more COPD-related exacerbations, hospitalizations, and deaths than urban counties.[1],[2] Furthermore, isolated rural veterans have a higher risk of mortality following hospitalization for an acute exacerbation compared to urban veterans.[3] Rural-urban disparities in COPD outcomes are multifactorial in origin with contributions from factors such as occupational exposures, tobacco use, and socioeconomic status.[4],[5] Lack of access to resources required to deliver evidence-based COPD management, such as outpatient pulmonary rehabilitation, likely also affects rural disparities in COPD.[6] To address this, we aimed to assess barriers to, facilitators of, and recommendations for improving evidence-based COPD management in rural clinics. This will improve delivery of evidence-based COPD care, while also increasing access to care for rural COPD patients. [Extracted from the article]

This study examines racial and ethnic differences in self-rated health among rural residents and whether these differences can be explained by socio-demographic characteristics. We used data from the 2011–2017 National Health Interview Survey to assess differences in self-rated health by race and ethnicity among rural residents (living in non-metropolitan counties; n = 46,883). We used logistic regression analyses to estimate the odds of reporting fair/poor health after adjusting for individual socio-demographic characteristics. Non-Hispanic Black and American Indian rural residents reported worse self-rated health than their non-Hispanic White counterparts (25.8% and 20.8% reporting fair/poor health, respectively, vs. 14.8%; p < 0.001). After adjusting for socio-demographic characteristics, disparities remained for non-Hispanic Black rural residents (Adjusted Odds Ratio = 1.55; 95% CI 1.36, 1.76). This study suggests more attention is required to address inequities among rural people and to develop policies to address structural racism and improve the health of all rural residents. [ABSTRACT FROM AUTHOR]

A large body of research documents the relationship between health and place, including the positive association between neighborhood cohesion and health. However, very little research has examined neighborhood cohesion by sexual orientation. This paper addresses that gap by examining differences in perceived neighborhood cohesion by sexual orientation. We use data from the 2016 National Health Interview Survey (n = 28,164 respondents aged 18 years and older) to examine bivariate differences by sexual orientation in four measures of neighborhood cohesion. We then use ordered logistic regression models to assess the relationship between sexual orientation and a scaled measure of neighborhood cohesion, adjusting for socio-demographic characteristics, living arrangements, health status, region, and neighborhood tenure. We find that lesbian, gay, and bisexual (LGB) adults are less likely to say that they live in a close-knit neighborhood (54.6 vs. 65.6%, p < 0.001), they can count on their neighbors (74.7 vs. 83.1%, p < 0.001), they trust their neighbors (75.5 vs. 83.7%, p < 0.001), or people in their neighborhood help each other out (72.9 vs. 83.1%, p < 0.001), compared to heterosexual adults. Even after controlling for socio-demographic factors, neighborhood cohesion scores are lower for LGB adults compared to heterosexual adults (odds ratio of better perceived neighborhood cohesion for sexual minorities: 0.70, p < 0.001). Overall, LGB adults report worse neighborhood cohesion across multiple measures, even after adjusting for individual characteristics and neighborhood tenure. Because living in a cohesive neighborhood is associated with better health outcomes, future research, community-level initiatives, and public policy efforts should focus on creating welcoming neighborhood environments for sexual minorities. [ABSTRACT FROM AUTHOR]

Until recently, population-based data for monitoring sexual minority health have been limited, making it difficult to document and address disparities by sexual orientation. The primary objective of this study was to examine differences by sexual orientation in an array of health outcomes and health risk factors using one of the nation's largest health surveys. Data for this study came from 8290 adults who identified as lesbian, gay, or bisexual (LGB) and 300,256 adults who identified as heterosexual in the 2014-2015 Behavioral Risk Factor Surveillance System (BRFSS). Logistic regression models were used to compare physical and mental health outcomes, health condition diagnoses, and health risk factors by sexual orientation, controlling for demographic and socioeconomic status. Controlling for sociodemographic characteristics, gay and bisexual men reported higher odds of frequent mental distress [odds ratio (OR) 1.71, P = 0.001; OR 2.33, P < 0.001] and depression (OR 2.91, P < 0.001; OR 2.41, P < 0.001), compared with heterosexual men. Lesbian and bisexual women had higher odds of frequent mental distress (OR 1.53, P < 0.001; OR 2.08, P < 0.001) and depression (OR 1.93, P < 0.01; OR 3.15, P < 0.001), compared to heterosexual women. Sexual minorities also faced higher odds of poor physical health, activity limitations, chronic conditions, obesity, smoking, and binge drinking, although these risks differed by sexual orientation and gender. This study adds to the mounting evidence of health disparities by sexual orientation. Community health practitioners and policymakers should continue to collect data on sexual orientation in order to identify and address root causes of sexual orientation-based disparities, particularly at the community-level. [ABSTRACT FROM AUTHOR]

The objective of this study was to identify differences in child care availability by rural-urban location for all counties in Wisconsin, and describe implications for recruitment and retention of health care workforce. We used data on licensed child care slots for young children (age <5), socio-demographic characteristics, women's and men's labor force participation, and household structure for all counties in Wisconsin in 2013 (n = 72). Data came from KIDS COUNT, County Health Rankings, and the American Community Survey. We used t tests to analyze bivariate differences in child care availability and community characteristics by metropolitan, micropolitan, and non-core rural location. We then used ordinary least squares regression to analyze the relationship between geographic location and child care slots, adjusting for labor force participation and household structure. Rural counties had significantly fewer licensed child care slots per child than metropolitan and micropolitan counties. These counties also had, on average, higher rates of poverty and higher unemployment than micropolitan and metropolitan counties. The association between geographic location and child care availability remained, even after adjusting for household structure and labor force participation. The number of hours men worked and the percentage of men not working were both negatively associated with available child care slots, whereas there was not a significant relationship between women's labor force participation and child care availability. Rural areas face health care workforce shortages. Recruitment strategies to overcome shortages must move beyond individual-level incentives to focus on community context and family support, including availability of child care in rural counties. [ABSTRACT FROM AUTHOR]