Predicting the Population Health Impacts of Community Interventions
The Case of Alcohol Outlets and Binge Drinking
Bibliographic Data
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
Binge drinking · Confidence interval · Environmental health · Injury prevention · Poison control · Population · Psychiatry · Psychological intervention · Public health · Sociology · Statistics · Demography · Health disparities and outcomes · Mathematics · Medicine · Smoking Behavior and Cessation · Substance Abuse Treatment and Outcomes · Gerontology
Mechanisms of impact of alcohol availability interventions from the perspective of 63 diverse alcohol licensing stakeholders
A Public Health of Consequence
Neighborhood Racial and Economic Segregation and Disparities in Violence During the Covid-19 Pandemic
Start With the “C-Word,” Follow the Roadmap for Causal Inference
Scaling Up a Water, Sanitation, and Hygiene Program in Rural Bangladesh
Population Intervention Measures to Connect Research Findings to Policy
Intermittent Preventive Therapy in Pregnancy and Incidence of Low Birth Weight in Malaria-Endemic Countries
Causality
Marginal Structural Models and Causal Inference in Epidemiology
Clinical calibration of DSM‐IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH‐CIDI)
Implementation of G-Computation on a Simulated Data Set
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
Collective Efficacy and Major Depression in Urban Neighborhoods
Prisoners of the Proximate
The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI)
Theories for social epidemiology in the 21st century
Estimating causal effects of treatments in randomized and nonrandomized studies.
Neighborhoods and health
A cluster randomized-controlled trial of a community mobilization intervention to change gender norms and reduce HIV risk in rural South Africa
Estimating the potential impacts of intervention from observational data
The Strategy of Preventive Medicine
Alcohol Outlets and Binge Drinking in Urban Neighborhoods
Choosing a future for epidemiology
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,7 |
| Citation span | 2016 - 2024 (9) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |