Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking.
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...
| Publicado en: | American Journal of Public Health Vol. 106; no. 11; pp. 1938 - 1944 |
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| Autores principales: | , , , , |
| Formato: | Essay |
| Publicado: |
American Public Health Association
Nov2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=118666061&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 118666061 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Nov2016 vid: 106 iid: 11 pid: 44 pub: American Public Health Association artinfo: ui: 118666061 10.2105/AJPH.2016.303425 ppf: 1938 ppct: 6 formats: tig: atl: Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking. aug: au: Ahern, Jennifer Colson, K. Ellicott Margerson-Zilko, Claire Hubbard, Alan Galea, Sandro affil: Division ofEpidemiology, School of Public Health, University ofCalifornia, Berkeley Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing Division of Biostatistics, School of Public Health, University of California, Berkeley School of Public Health, Boston University, Boston, MA su: New York (N.Y.) United States New York (State) Population health Binge drinking Forecasting Public health Social context Public health research Behavior modification Socioeconomic factors Health & social status Liquor stores Public health personnel Confidence intervals Questionnaires Regression analysis Research funding Shopping Treatment effectiveness Prevention sug: subj: Population health Binge drinking Forecasting Public health Social context Public health research Behavior modification Socioeconomic factors Health & social status New York (N.Y.) United States New York (State) Beer, Wine, and Liquor Stores Health and Welfare Funds Research and development in the physical, engineering and life sciences Liquor stores Public health personnel Confidence intervals Questionnaires Regression analysis Research funding Shopping Treatment effectiveness Prevention ab: 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. pubtype: Academic Journal doctype: Essay src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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