ArticlePreventive medicine2016
Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).
Article in Preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- The impact of a multilevel childhood obesity prevention intervention on healthful food acquisition, preparation, and fruit and vegetable consumption on African-American adult caregivers.Public health nutrition · 2019Trial
- Diet Quality Trajectories From Infancy to Young Adulthood: The Special Turku Coronary Risk Factor Intervention Project (STRIP) Study.The Journal of nutrition · 2025Article
- Association of the healthy eating index with overweight and obesity among children aged 4 to 9 years in the United Arab Emirates: a cross-sectional study.Frontiers in public health · 2025Observational
- Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study.AJPM focus · 2024Article
- Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study.International journal of health geographics · 2024Article
- Association of Artificially Sweetened Beverage Consumption and Urinary Tract Cancers in the Women's Health Initiative Observational Study.European urology open science · 2023Article
- Regional Difference in the Effect of Food Accessibility and Affordability on Vegetable and Fruit Acquisition and Healthy Eating Behaviors for Older Adults.International journal of environmental research and public health · 2022Article
- Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III.SSM - population health · 2022Article
- Infancy Dietary Patterns, Development, and Health: An Extensive Narrative Review.Children (Basel, Switzerland) · 2022Review
- Neighbourhood characteristics as a predictor of adherence to dietary recommendations: A population-based cohort study of Finnish adults.Scandinavian journal of public health · 2022Article
- Driving Distance and Food Accessibility: A Geospatial Analysis of the Food Environment in the Navajo Nation and Border Towns.Frontiers in nutrition · 2022Article
- Exploring the Geographic Variation in Fruit and Vegetable Purchasing Behaviour Using Supermarket Transaction Data.Nutrients · 2021Article
- Characterising percentage energy from ultra-processed foods by participant demographics, diet quality and diet cost: findings from the Seattle Obesity Study (SOS) III.The British journal of nutrition · 2021Article
- Associations of Pre- and Postnatal Air Pollution Exposures with Child Blood Pressure and Modification by Maternal Nutrition: A Prospective Study in the CANDLE Cohort.Environmental health perspectives · 2021Article
- An assessment of nutrition information on front of pack labels and healthiness of foods in the United Kingdom retail market.BMC public health · 2021Article
- Inedible Food Waste Linked to Diet Quality and Food Spending in the Seattle Obesity Study SOS III.Nutrients · 2021Article
- Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review.Online journal of public health informatics · 2021Article
- A cross-sectional analysis of physical activity and weight misreporting in diverse populations: The Seattle Obesity Study III.Obesity science & practice · 2020Article
- Small increments in diet cost can improve compliance with the Dietary Guidelines for Americans.Social science & medicine (1982) · 2020Article
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Abstract
backgroundHigher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level.
objectiveTo examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County.
methodsThe Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008-09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1116 adults tested associations between SES variables and diet quality measured (HEI scores).
resultsResidential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County.
conclusionThe use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level.
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