Search

There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. We quantified associations between gentrification and health and healthcare utilization by linking longitudinal socioeconomic data from the American Community Survey with EHR data across two health systems accessed by long-term residents of Durham County, NC, from 2007 to 2017. Census block group-level neighborhoods were eligible to be gentrified if they had low socioeconomic status relative to the county average. Gentrification was defined using socioeconomic data from 2006 to 2010 and 2011-2015, with the Steinmetz-Wood definition. Multivariable logistic and Poisson regression models estimated associations between gentrification and development of health indicators (cardiovascular disease, hypertension, diabetes, obesity, asthma, depression) or healthcare encounters (emergency department [ED], inpatient, or outpatient). Sensitivity analyses examined two alternative gentrification measures. Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition., (© 2022. The New York Academy of Medicine.)

Obesity rates are higher for ethnic minority, low-income, and rural communities. Programs are needed to support these communities with weight management. We determined the reach of a low-cost, nationally-available weight loss program in Health Resources and Services Administration medically underserved areas (MUAs) and described the demographics of the communities with program locations. This is a cross-sectional analysis of Take Off Pounds Sensibly (TOPS) chapter locations. Geographic information systems technology was used to combine information about TOPS chapter locations, the geographic boundaries of MUAs, and socioeconomic data from the Decennial 2010 Census. TOPS is available in 30 % of MUAs. The typical TOPS chapter is in a Census Tract that is predominantly white, urban, with a median annual income between $25,000 and $50,000. However, there are TOPS chapters in Census Tracts that can be classified as predominantly black or predominantly Hispanic; predominantly rural; and as low or high income. TOPS provides weight management services in MUAs and across many types of communities. TOPS can help treat obesity in the medically underserved. Future research should determine the differential effectiveness among chapters in different types of communities.

Introduction: In 2006, Tennessee Medicaid (TennCare) offered its recipients access to Weight Watchers for a nominal fee. The aim of this study was to determine the weight change among adult participants., Methods: This is a retrospective analysis of weight change among overweight and obese TennCare recipients who participated in the program. Weight change was calculated as the median difference from the first date of participation to the last. Weight change was also calculated as median percentage change from initial weight and categorized as weight loss or gain of 0 to 5, ≥5 to 10, and ≥10 %., Results: During the study period, 1,605 individuals started the program and 1192 had at least one follow-up weight measurement and thus met the inclusion criteria for the study. Women (n = 1149) had a BMI of 39.6 kg/m(2) and men (n = 43) had a BMI of 43.0 kg/m(2). The median weight loss for all participants was 1.9 kg, or 1.8 % of initial weight. Twenty percent of participants lost 5 % or more of their initial body weight while participating in the program. Over 13 % of participants only attended two meetings; on average, these participants lost 0.5 % of initial weight. Over 23 % of participants attended 13 or more meetings, and they lost an average of 6.4 % of initial weight., Discussion: Twenty percent of TennCare recipients who joined Weight Watchers lost a clinically significant amount of weight. Participants who attended more meetings lost more weight. Reimbursement for Weight Watchers has been maintained by all of the Medicaid managed care organizations in Tennessee. Partnerships that allow low-income populations to access weight loss programs may provide a valuable weight management tool.