ArticlePreventing chronic disease2017
Comparison of Methods for Estimating Prevalence of Chronic Diseases and Health Behaviors for Small Geographic Areas: Boston Validation Study, 2013.
Article in Preventing chronic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- The relative importance of neighborhood environment features in explaining preeclampsia risk using machine learning.Pregnancy (Hoboken, N.J.) · 2026Article
- Population Estimates and Hypertension and Diabetes Prevalence: Cross-Sectional Quantitative Study Comparing Electronic Health Record-Derived Counts, Census, and Centers for Disease Control and Prevention Population Level Analysis and Community Estimates.JMIR public health and surveillance · 2026Article
- Association Between Observed Climate Change and Cardiovascular Disease in the United States.GeoHealth · 2026Article
- Subsidized Housing Availability and Preventive Care Utilization in US Neighborhoods.Journal of general internal medicine · 2026Article
- Manifestations of Structural Racism and Inequities in Cardiovascular Health Across US Neighborhoods.JAMA health forum · 2025Article
- Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana.BMC public health · 2025Article
- Prevalence and regional distribution of obstructive sleep apnea in Canada: Analysis from the Canadian Longitudinal Study on Aging.Canadian journal of public health = Revue canadienne de sante publique · 2024Article
- Green infrastructure and community health: exploring the characteristics of campus users in three university towns in Texas.Cities & health · 2024Article
- County-Level Geographic Disparities in Disabilities Among US Adults, 2018.Preventing chronic disease · 2023Article
- Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data.BMC public health · 2023Article
- Moderating Effects of Racial Segregation on the Associations of Cardiovascular Outcomes with Walkability in Chicago Metropolitan Area.International journal of environmental research and public health · 2022Article
- PLACES: Local Data for Better Health.Preventing chronic disease · 2022Article
- The Community Assessment to Inform Rapid Response (CAIRR): A Novel Qualitative Data Collection and Analytic Process to Facilitate Hyperlocal COVID-19 Emergency Response Operations in New York City.Disaster medicine and public health preparedness · 2022Article
- US county-level estimation for maternal and infant health-related behavior indicators using pregnancy risk assessment monitoring system data, 2016-2018.Population health metrics · 2022Article
- Multilevel small area estimation for county-level prevalence of colorectal cancer screening test use in the United States using 2018 data.Annals of epidemiology · 2022Article
- Measuring disparities in police use of force and injury among persons with serious mental illness.BMC psychiatry · 2021Article
- Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands.BMC public health · 2021Article
- Evaluating Residential Segregation's Relation to the Clustering of Poor Health across American Cities.International journal of environmental research and public health · 2020Article
- The Use of Small Area Estimates in Place-Based Health Research.American journal of public health · 2020Article
- Targeting the spatial context of obesity determinants via multiscale geographically weighted regression.International journal of health geographics · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLocal health authorities need small-area estimates for prevalence of chronic diseases and health behaviors for multiple purposes. We generated city-level and census-tract-level prevalence estimates of 27 measures for the 500 largest US cities.
methodsTo validate the methodology, we constructed multilevel logistic regressions to predict 10 selected health indicators among adults aged 18 years or older by using 2013 Behavioral Risk Factor Surveillance System (BRFSS) data; we applied their predicted probabilities to census population data to generate city-level, neighborhood-level, and zip-code-level estimates for the city of Boston, Massachusetts.
resultsBy comparing the predicted estimates with their corresponding direct estimates from a locally administered survey (Boston BRFSS 2010 and 2013), we found that our model-based estimates for most of the selected health indicators at the city level were close to the direct estimates from the local survey. We also found strong correlation between the model-based estimates and direct survey estimates at neighborhood and zip code levels for most indicators.
conclusionFindings suggest that our model-based estimates are reliable and valid at the city level for certain health outcomes. Local health authorities can use the neighborhood-level estimates if high quality local health survey data are not otherwise available.
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