التفاصيل البيبلوغرافية
| العنوان: |
Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking. |
| المؤلفون: |
Ahern, Jennifer1 jahern@berkeley.edu, Colson, K. Ellicott1, Margerson-Zilko, Claire2, Hubbard, Alan3, Galea, Sandro4 |
| المصدر: |
American Journal of Public Health. Nov2016, Vol. 106 Issue 11, p1938-1943. 6p. |
| مصطلحات موضوعية: |
*FORECASTING, *LIQUOR stores, *QUESTIONNAIRES, *REGRESSION analysis, *RESEARCH funding, *SHOPPING, *SOCIOECONOMIC factors, POPULATION health, BINGE drinking, PUBLIC health, SOCIAL context, PUBLIC health research, PUBLIC health personnel, BEHAVIOR modification, CONFIDENCE intervals, TREATMENT effectiveness, HEALTH & social status, PREVENTION |
| مصطلحات جغرافية: |
NEW York (N.Y.), UNITED States, NEW York (State) |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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