Alcohol outlets and binge drinking in urban neighborhoods: The implications of nonlinearity for intervention and policy
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DOI: 10.2105/AJPH.2012.301203
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Cited by:
- Rima Nakkash & Lilian A. Ghandour & Sirine Anouti & Jessika Nicolas & Ali Chalak & Nasser Yassin & Rima Afifi, 2018. "Surveying Alcohol Outlet Density in Four Neighborhoods of Beirut Lebanon: Implications for Future Research and National Policy," IJERPH, MDPI, vol. 15(9), pages 1-14, September.
- Ronald Herrera & Ursula Berger & Ondine S. Von Ehrenstein & Iván Díaz & Stella Huber & Daniel Moraga Muñoz & Katja Radon, 2017. "Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation," IJERPH, MDPI, vol. 15(1), pages 1-15, December.
- Santana-Arias, Rogelio & George, Tony Sam & Padrón-Salas, Aldanely & Sanjuan-Meza, Xiomara Sarahí & Landeros-Olvera, Erick Alberto & Cossío-Torres, Patricia Elizabeth, 2021. "The relationship between density of drug outlets, crime hot spots and family factors on the consumption of drugs and delinquent behaviour of male adolescent Mexican students," Social Science & Medicine, Elsevier, vol. 279(C).
- Savin, Kimberly L. & Roesch, Scott C. & Oren, Eyal & Carlson, Jordan A. & Allison, Matthew A. & Sotres-Alvarez, Daniela & Sallis, James F. & Jankowska, Marta M. & Talavera, Gregory A. & Rodriguez, Tas, 2022. "Social and built neighborhood environments and blood pressure 6 years later: Results from the Hispanic Community Health Study/Study of Latinos and the SOL CASAS ancillary study," Social Science & Medicine, Elsevier, vol. 292(C).
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Keywords
adolescent; adult; aged; alcoholic beverage; article; binge drinking; commercial phenomena; demography; female; human; male; middle aged; prevalence; risk factor; statistical model; statistics; United States; urban population; very elderly; Adolescent; Adult; Aged; Aged; 80 and over; Alcoholic Beverages; Binge Drinking; Commerce; Female; Humans; Male; Middle Aged; Models; Statistical; New York City; Prevalence; Residence Characteristics; Risk Factors; Urban Population;All these keywords.
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