Literature DB >> 12086129

Reducing high-risk drinking by young Americans south of the border: the impact of a partial ban on sales of alcohol.

Robert B Voas1, James E Lange, Mark B Johnson.   

Abstract

OBJECTIVE: Determine the effect of a partial sales ban on cross border drinking in Mexico.
METHOD: On weekend evenings, thousands of youths (younger than 21 years) and young adults (21 to 25 years) residing in communities along the U.S. border cross over into Mexico to patronize all-night bars where the drinking age is 18 rather than 21 years and where the price of alcohol is considerably less than in the United States. On January 1, 1999, Juárez, Mexico, across the border from El Paso, Texas, implemented a 2 AM bar closing policy replacing the previous 5 AM closing time. Breath alcohol tests of pedestrians at the Juárez/El Paso border before and after the policy change were compared with a similar sample of pedestrians at the Tijuana, Mexico/San Diego, California border.
RESULTS: At the Juárez/El Paso border, the total number of youths with positive BACs returning from Juárez after 3 AM when the bars were closed was reduced 89%, whereas the number returning between midnight and 3 AM remained unchanged. There was no change in either period at the Tijuana/San Diego comparison site.
CONCLUSIONS: Early closing of the bars in Juárez reduced the number of youths returning after 3 AM to the United States with positive BACs.

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Year:  2002        PMID: 12086129     DOI: 10.15288/jsa.2002.63.286

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  13 in total

1.  Tijuana alcohol control policies: a response to cross-border high-risk drinking by young Americans.

Authors:  Eduardo Romano; Saúl Cano; Elizabeth Lauer; Avelino Jiménez; Robert B Voas; James E Lange
Journal:  Prev Sci       Date:  2004-06

Review 2.  A review of alcohol and other drug control policy research.

Authors:  Andrew J Treno; Miesha Marzell; Paul J Gruenewald; Harold Holder
Journal:  J Stud Alcohol Drugs Suppl       Date:  2014

3.  Disentangling contributions of bar attendance, drinking, and other factors to elevated acute alcohol problems on the U.S.-Mexico border.

Authors:  Britain A Mills; Raul Caetano; Patrice A C Vaeth; Jennifer M Reingle Gonzalez
Journal:  Alcohol Clin Exp Res       Date:  2015-10-14       Impact factor: 3.455

4.  Prevalence and correlates of arrests or stops for drunk driving on both sides of the U.S.-Mexico border.

Authors:  Lynn Wallisch; Sarah E Zemore; Guilherme Borges; Cheryl J Cherpitel; Jane C Maxwell
Journal:  J Ethn Subst Abuse       Date:  2017-03-10       Impact factor: 1.507

5.  The effect of cross-border mobility on alcohol and drug use among Mexican-American residents living at the U.S.-Mexico border.

Authors:  Cheryl J Cherpitel; Yu Ye; Sarah E Zemore; Jason Bond; Guilherme Borges
Journal:  Addict Behav       Date:  2015-06-11       Impact factor: 3.913

6.  Cross-border policy effects on alcohol outcomes: drinking without thinking on the u.s.-Mexico border?

Authors:  Britain A Mills; Raul Caetano; Patrice Vaeth
Journal:  Alcohol Clin Exp Res       Date:  2014-10-21       Impact factor: 3.455

7.  Changes in private alcohol importation after alcohol tax reductions and import allowance increases in Denmark.

Authors:  Ulrike Grittner; Kim Bloomfield
Journal:  Nordisk Alkohol Nark       Date:  2009

8.  ALCOHOL AND DRUG USE AT THE U.S.-MEXICO BORDER - DOES CROSS-BORDER MOBILITY MAKE A DIFFERENCE?

Authors:  Cheryl J Cherpitel
Journal:  J Drug Abuse       Date:  2016-01-21

9.  Impact of extended drinking hours in Ontario on motor-vehicle collision and non-motor-vehicle collision injuries.

Authors:  Evelyn Vingilis; A Ian McLeod; Gina Stoduto; Jane Seeley; Robert E Mann
Journal:  J Stud Alcohol Drugs       Date:  2007-11       Impact factor: 2.582

10.  Alcohol use among Mexican American U.S.-Mexico border residents: differences between those who drink and who do not drink in Mexico.

Authors:  Raul Caetano; Britain A Mills; Patrice A C Vaeth
Journal:  Addict Behav       Date:  2013-01-16       Impact factor: 3.913

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