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Social and Behavioral Sciences Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
A Statewide Study Of Disparities In Local Policies And Tobacco, Vape, And Cannabis Retail Environments, Georgiana Bostean, William R. Ponicki, Alisa A. Padon, William J. Mccarthy, Jennifer B. Unger
A Statewide Study Of Disparities In Local Policies And Tobacco, Vape, And Cannabis Retail Environments, Georgiana Bostean, William R. Ponicki, Alisa A. Padon, William J. Mccarthy, Jennifer B. Unger
Sociology Faculty Articles and Research
The current study: (1) assesses sociodemographic disparities in local policies related to tobacco and cannabis retail, and (2) examines the cross-sectional association between policy strength and retailer densities of tobacco, e-cigarette (vape), and cannabis retailers within California cities and county unincorporated areas (N = 539). We combined (a) American Community Survey data (2019 5-year estimates), (b) 2018 tobacco, vape, and cannabis retailer locations from a commercial data provider, (c) 2017 tobacco and vape retail environment policy data from American Lung Association, and (d) 2018 cannabis policy data from California Cannabis Local Laws Database. Conditional autoregressive models examined policy strength associations …
Obesity Heterogeneity By Neighborhood Context In A Largely Latinx Sample, Ashley W. Kranjac, Dinko Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Brooke N. Jenkins
Obesity Heterogeneity By Neighborhood Context In A Largely Latinx Sample, Ashley W. Kranjac, Dinko Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Brooke N. Jenkins
Sociology Faculty Articles and Research
Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children’s body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocoded pediatric electronic medical record data from a predominantly Latinx sample and characterized neighborhoods into unique residential contexts using latent profile modeling techniques. We estimated multilevel linear regression models that adjust for …