Association of neighborhood gentrification and residential moves with hypertension and diabetes control in Los Angeles County, 2014-2019: A retrospective cohort study.

OBJECTIVE: To examine whether gentrification exposure is associated with future hypertension and diabetes control. METHODS: Linking records from an integrated health care system to census-tract characteristics, we identified adults with hypertension and/or diabetes residing in stably low-SES census tracts in 2014 (n = 69,524). We tested associations of census tract gentrification occurring between 2015 and 2019 with participants' disease control in 2019. Secondary analyses considered the role of residential moves (possible displacement), race and ethnicity, and age. RESULTS: Gentrification exposure was associated with improved odds of hypertension control (aOR: 1.08; 95% CI: 1.00, 1.17), especially among non-Hispanic Whites and adults >65 years. Gentrification was not associated with diabetes control overall, but control improved in the Hispanic subgroup. Disease control was similar regardless of residential moves in the overall sample, but disparate associations emerged in models stratified by race and ethnicity. CONCLUSIONS: Residents of newly gentrifying neighborhoods may experience modestly improved odds of hypertension and/or diabetes control, but associations may differ across population subgroups. POLICY IMPLICATIONS: Gentrification may support-or at least not harm-cardiometabolic health for some residents. City leaders and health systems could partner with impacted communities to ensure that neighborhood development meets the goals and health needs of all residents and does not exacerbate health disparities.

Mixed Signals in Child and Adolescent Mental Health and Well-Being Indicators in the United States: A Call for Improvements to Population Health Monitoring.

Policy Points Social indicators of young peoples' conditions and circumstances, such as high school graduation, food insecurity, and smoking, are improving even as subjective indicators of mental health and well-being have been worsening. This divergence suggests policies targeting the social indicators may not have improved overall mental health and well-being. There are several plausible reasons for this seeming contradiction. Available data suggest the culpability of one or several common exposures poorly captured by existing social indicators. Resolving this disconnect requires significant investments in population-level data systems to support a more holistic, child-centric, and up-to-date understanding of young people's lives.