Search

Background Residential segregation, a geospatial manifestation of structural racism, is a fundamental driver of racial and ethnic health inequities, and longitudinal studies examining segregation's influence on cardiovascular health are limited. This study investigates the impact of segregation on hypertension in a multiracial and multiethnic cohort and explores whether neighborhood environment modifies this association. Methods and Results Leveraging data from a diverse cohort of adults recruited from 6 sites in the United States with 2 decades of follow-up, we used race- and ethnicity-stratified Cox models to examine the association between time-varying segregation with incident hypertension in 1937 adults free of hypertension at baseline. Participants were categorized as residing in segregated and nonsegregated neighborhoods using a spatial-weighted measure. We used a robust covariance matrix estimator to account for clustering within neighborhoods and assessed effect measure modification by neighborhood social or physical environment. Over an average follow-up of 7.35 years, 65.5% non-Hispanic Black, 48.1% Chinese, and 53.7% Hispanic participants developed hypertension. Net of confounders, Black and Hispanic residents in segregated neighborhoods were more likely to develop hypertension relative to residents in nonsegregated neighborhoods (Black residents: hazard ratio [HR], 1.33; 95% CI, 1.09-1.62; Hispanic residents: HR, 1.33; 95% CI, 1.04-1.70). Results were similar but not significant among Chinese residents (HR, 1.20; 95% CI, 0.83-1.73). Among Black residents, neighborhood social environment significantly modified this association such that better social environment was associated with less pronounced impact of segregation on hypertension. Conclusions This study underscores the importance of continued investigations of groups affected by the health consequences of racial residential segregation while taking contextual neighborhood factors, such as social environment, into account.

Objective: To investigate whether food insecurity helps explain the association between income and psychological distress and if its role differs by disability status. Design: Using 2011–2017 National Health Interview Survey cross-sectional data (n 102 543), we conducted linear regression models, fully interacted with disability status, to estimate the association between income-to-poverty ratio (IPR) (<1, 1–<2, 2–<4, ≥4) and psychological distress (Kessler 6 (K6) Scale, range: 0–24). Base models adjusted for socio-demographic factors. We then added food security (secure, low and very low), interacted with disability, and conducted post-estimation adjusted Wald tests. Setting: USA. Participants: Nationally representative sample of non-institutionalised adults 18 years and older. Results: The association between income and psychological distress was stronger for people with disabilities. Compared to those in the highest income category (IPR ≥4), poor individuals (IPR < 1) with and without disabilities scored 2·10 (95 % CI (1·74, 2·46)) and 0·81 (95 % CI (0·69, 0·93)) points higher on the K6 Scale, respectively. Accounting for food insecurity reduced the estimated income disparity in psychological distress significantly more among individuals with disabilities (0·96 points or 46 %) than without disabilities (0·34 points or 42 %), decreasing the difference in the income disparity between those with and without disabilities by 48 % (0·62 points). Further, food insecurity more strongly predicted psychological distress for individuals with disabilities independent of socio-economic disadvantage. Conclusions: Food insecurity plays a more important role in shaping patterns of psychological distress for people with disabilities, explaining more of the association between income and psychological distress among those with than without disabilities. Improving food security may reduce mental health disparities. [ABSTRACT FROM AUTHOR]

Purpose: Rural preventable cancer disparities are often attributed in part to lower screening rates secondary to compromised health care access. When considering higher cervical cancer incidence and mortality, existing analyses primarily consider differences in Pap testing rather than the preferred method of HPV testing, which is more sensitive in identifying severe cases of cervical dysplasia. Methods: Logistic regression using data from the 2016 and 2018 Behavioral Risk Factor Surveillance System was used to examine urban and rural rates of cervical cancer screening according to national guidelines. Propensity score weighting was used to account for baseline sociodemographic differences between rural and urban populations in the 2016 landline sample. Findings: In 2016 and 2018, rural women were less likely than urban women to have current cervical cancer screening. This disparity was explained by sociodemographic variables in 2016. Among women with current cervical cancer screening, rural women were significantly less likely than urban women to undergo HPV testing in both 2016 and 2018. Conclusion: Rural women with current cervical cancer screening were significantly less likely than their urban counterparts to have HPV testing. It is possible that updates to preventive care guidelines may be slower to reach rural providers, rural patients may be unaware that HPV testing was completed, or rural practice configuration may complicate the integration of HPV testing into clinical practice. Failure to undergo HPV testing may lead to delayed cervical dysplasia diagnosis, missed opportunities for early intervention, and contribute to rural/urban disparities in cervical cancer incidence and mortality. [ABSTRACT FROM AUTHOR]