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Race differences in school attendance across the Jim Crow South and its implications for Black-White disparities in cognitive impairment risk among older adults

Alternative Trajectories in Body Weight, Mental and Cognitive Health among Older Americans: Roles of Genetics and Earlier SES

Having first reached epidemic proportions in coastal metropolitan areas, COVID-19 has spread 4 around the country. Reported case rates vary across counties from zero to 125 per thousand 5 population (around a state prison in the rural county of Trousdale, Tennessee). Overall, rural 6 counties are underrepresented relative to their share of the population, but a growing proportion 7 of all daily cases and deaths have been reported in rural counties. This analysis uses daily 8 reports for all counties to present the trends and distribution of COVID-19 cases and deaths in 9 rural counties, from late March to May 16, 2020. I describe the relationship between population 10 density and case rates in rural and non-rural counties. Then I focus on noteworthy outbreaks 11 linked to prisons, meat and poultry plants, and nursing homes, many of which are linked to 12 high concentrations of Hispanic, American Indian, and Black populations. The growing 13 epidemic in rural counties is apparently driven by outbreaks concentrated in these institutional 14 settings, which are conducive to transmission. The impact of the epidemic in rural areas may 15 be heightened due to their weaker health infrastructure and more vulnerable populations, 16 especially due to age, socioeconomic status, and health conditions. As a result, the epidemic 17 may contribute to the ongoing decline of health, economic, and social conditions in rural areas.

As a strategy for combating physical inactivity, obesity, and other health conditions, the apperception of greenspace and importance of human-nature relationships have increased in recent decades. With this raised awareness in greenspace, the development of park auditing tools has been positioned primarily in the material conditions (e.g., physical environmental conditions) of parks. An examination of existing park auditing tools has shown that by focusing on particular material conditions, built environment and active living scholars have set aside other characteristics, namely, those that consider the user (e.g., the active human), as a separate concern from the focus of these tools. We have sought to engage with these tools to examine how they can be more effective in analyzing both the physical and human elements of parks and other natural environments.

Background Atmospheric particulate matter (PM) has been associated with endothelial dysfunction, an early marker of cardiovascular risk. Our aim was to extend this research to a genetically homogenous, geographically stable rural population using location-specific moving-average air pollution exposure estimates indexed to the date of endothelial function measurement. Methods We measured endothelial function using brachial artery flow-mediated dilation (FMD) in 615 community-dwelling healthy Amish participants. Exposures to PM < 2.5 μm (PM 2.5 ) and PM < 10 μm (PM 10 ) were estimated at participants’ residential addresses using previously developed geographic information system-based spatio-temporal models and normalized. Associations between PM exposures and FMD were evaluated using linear mixed-effects regression models, and polynomial distributed lag (PDL) models followed by Bayesian model averaging (BMA) were used to assess response to delayed effects occurring across multiple months. Results Exposure to PM 10  was consistently inversely associated with FMD, with the strongest (most negative) association for a 12-month moving average (− 0.09; 95% CI: − 0.15, − 0.03). Associations with PM 2.5  were also strongest for a 12-month moving average but were weaker than for PM 10  (− 0.07; 95% CI: − 0.13, − 0.09). Associations of PM 2.5  and PM 10  with FMD were somewhat stronger in men than in women, particularly for PM 10 . Conclusions Using location-specific moving-average air pollution exposure estimates, we have shown that 12-month moving-average estimates of PM 2.5  and PM 10  exposure are associated with impaired endothelial function in a rural population.

Scientific evidence regarding sexual minority populations has generally come from studies based on two types of samples: community-derived samples and probability samples. Probability samples are lauded as the gold standard of population research for their ability to represent the population of interest. However, while studies using community samples lack generalizability, they are often better able to assess population-specific concerns (e.g., minority stress) and are collected more rapidly, allowing them to be more responsive to changing population dynamics. Given these advantages, many sexual minority population studies rely on community samples. To identify how probability and community samples of sexual minorities are similar and different, we compared participant characteristics from two companion samples from the  Generations Study , each designed with the same demographic profile of U.S. sexual minority adults in mind. The first sample was recruited for a national probability survey, whereas the second was recruited for a multicommunity sample from four U.S. cities. We examined sociodemographic differences between the samples. Although there were several statistical differences between samples, the effect sizes were small for sociodemographic characteristics that defined the sample inclusion criteria: sex assigned at birth, race/ethnicity, and age cohort. The samples differed across other characteristics: bisexual respondents, respondents with less education, and those living in non-urban areas were underrepresented in the community sample. Our findings offer insights for recruiting community samples of sexual minority populations and for measuring sexual identity on probability surveys. They also bolster confidence in well-designed community samples as sources for data on sexual minority populations.

Background Few studies have investigated the consequences of caregiving on the objectively measured physiological health outcomes in China. This study used population-based longitudinal data to examine the association between parental caregiving and blood pressure among Chinese women. Method This is a retrospective analysis of 2586 women using five waves of data from the Ever-Married Women Survey component of the China Health and Nutrition Survey (2000, 2004, 2006, 2009, and 2011). We applied growth curve models to examine trajectories of systolic blood pressure (SBP) and diastolic blood pressure (DBP) associated with parental caregiving among women in China. Results In multivariable analyses of blood pressure trajectories adjusting for potential confounders, parental caregivers had higher systolic (β-coefficient (β) = 1.16; p ≤ 0.01) and diastolic blood pressure (β = 0.75; p ≤ 0.01) compared with non-caregivers across multiple waves. Caregivers and non-caregivers had similar levels of systolic blood pressure at baseline, but caregivers exhibited relatively higher growth rate over time. Diastolic blood pressure was much higher among caregivers at the baseline measure, and across time relative to non-caregivers. Moreover, low-intensity but not high-intensity caregivers showed higher growth rate compared with non-caregivers for both SBP and DBP. Discussion Our results demonstrate the negative cardiovascular consequences of parental caregiving among Chinese women. Findings from the study can be used to develop future stress management interventions to decrease hypertension risk within women who provide care to their parents.

Introduction Accountable care organizations have been successful in improving quality of care, but little is known about who is benefiting from accountable care organizations and through what mechanism. This study examined variation of potentially preventable hospitalizations for chronic conditions with coexisting depression in adults by hospital accountable care organization affiliation and care coordination strategies by race/ethnicity. Methods Data  files of 11 states from 2015 State Inpatient Databases were used to identify potentially preventable hospitalizations for chronic conditions with coexisting depression by race/ethnicity; the 2015 American Hospital Association's Annual Survey was used to identify hospital accountable care organization affiliation; and American Hospital Association's Survey of Care Systems and Payment (collected from January to August 2016) was used to identify hospital Accountable care organizations affiliation and hospital-based care coordination strategies, such as telephonic outreach, and chronic care management. In 2019, multiple logistic regressions was used to test the probability of potentially preventable hospitalization by accountable care organization affiliation and race/ethnicity. The test was repeated on a subsample analysis of accountable care organization–affiliated hospitals by care coordination strategy. Results Preventable hospitalizations were significantly lower among accountable care organization–affiliated hospitals than accountable care organization–unaffiliated hospitals. Lower preventable hospitalization rates were observed among white, African American, Native American, and Hispanic patients. Effective care coordination strategies varied by patients’ race. Results also showed variation of the adoption of specific care coordination strategies among accountable care organization–affiliated hospitals. Analysis further indicated effective care coordination strategies varied by patients’ race. Conclusions Accountable care organizations and specifically designed care coordination strategies can potentially improve preventable hospitalization rates and racial disparities among patients with depression. Findings support the integration of mental and physical health services and provide insights for Centers for Medicare and Medicaid Services risk adjustment efforts across race/ethnicity and socioeconomic status.

Purpose:  We propose a new theoretically grounded approach for estimating sexual orientation-related health risk that accounts for the unique and shared variance of sexual identity across other measures of sexual orientation (i.e., attraction and behavior). We argue and illustrate that this approach provides specificity not demonstrated by approaches that independently estimate and compare health risk based on sexual identity, attraction, and behavior. Methods:  Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III, collected in 2012–2013 (N = 36,309, ages 18 and older). The Karlson-Holm-Breen method tested the degree to which attraction- and behavior-based disparities in mental health and substance use disorders change after adjusting for sexual identity. Results:  Sexual attraction- and behavior-based disparities in mental health and substance use disorders statistically varied when comparing models that did and did not adjust for sexual identity. Adjusting for sexual identity appeared to have a larger influence on attraction- and behavior-based health associations among men; sexual minority and majority differences were attenuated on nearly every outcome after adjusting for sexual identity. This attenuation was less common among women. Among women, some behavior-based disparities were wider in sexual identity-adjusted models relative to unadjusted models. Conclusion:  We demonstrate more accurate approaches to capturing and comparing sexual orientation-related health disparities across multiple measures of sexual orientation, which account for the shared variance between sexual identity and measures of attraction and behavior. Adjusted estimates provide more specificity regarding relative health risk across specific subgroups of sexual minority people, and the intervention and prevention strategies needed to address them.

Cropper discusses a recent working paper that assesses the full benefits and costs of the groundbreaking law’s many programs to protect the environment.