Predicting the population health impacts of community interventions: The case of alcohol outlets and binge drinking

J. Ahern, K. Ellicott Colson, C. Margerson-Zilko, A. Hubbard and S. Galea

American Journal of Public Health, 2016, vol. 106, issue 11, 1938-1943

Abstract: A substitution estimator can be used to predict how shifts in population exposures might change health. We illustrated this method by estimating how an upper limit on alcohol outlet density might alter binge drinking in the New York Social Environment Study (n = 4000), and provided statistical code and sample data. The largest differences in binge drinking were for an upper limit of 70 outlets per square mile; there was a -0.7% difference in binge drinking prevalence for New York City overall (95% confidence interval [CI] = -0.2%, -1.3%) and a -2.4% difference in binge drinking prevalence for the subset of communities the intervention modified(95%CI=-0.5%,-4.0%). A substitution estimator is a flexible tool for estimating population intervention parameters and improving the translation of public health research results to practitioners.

Keywords: binge drinking; commercial phenomena; demography; drinking behavior; epidemiology; female; human; male; New York; public health; social environment; statistics and numerical data, Alcohol Drinking; Binge Drinking; Commerce; Female; Humans; Male; New York City; Public Health; Residence Characteristics; Social Environment (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:aph:ajpbhl:10.2105/ajph.2016.303425_4

DOI: 10.2105/AJPH.2016.303425

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