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A Multilevel Model of Alcohol Outlet Density, Individual Characteristics and Alcohol-Related Injury in Argentinean
Karina Conde1,2, Elizabeth D Nesoff3, Raquel I Peltzer1,2
1Institute of Basic, Applied Psychology and Technology (IPSIBAT-CONICET-UNMDP-CIC), Mar del Plata, Buenos Aires, Argentina.
Objectives:
Previous research from high-income countries has consistently shown an association between alcohol-related harms and neighborhood characteristics such as alcohol outlet density, but this research has not been extended to middle- and low-income countries. We assessed the role of neighborhood characteristics such as alcohol outlet density, overcrowding and crime rates, and individual characteristics including gender, age, alcohol and marijuana use, and geographic mobility associated with alcohol-related injuries in university students in Argentina.
Methods:
Data were collected from a randomized sample of students attending a national public university (n = 1346). Descriptive, bivariable, and multilevel logistic regression analyses were performed.
Results:
In the final model, on-premises alcohol outlet density-but not off-premises outlet density, overcrowding or crime-was associated with past-year and lifetime alcohol-related injury (median odds ratio=1.16). At the individual level, quantity (odds ratio (OR)=1.05, 95% CI=(1.01, 1.10)) and frequency (OR=1.66, 95% CI=(1.41,1.97)) of alcohol consumption and age (OR=0.81, 95% CI=(0.74, 0.88)) were associated with past-year and lifetime alcohol-related injury.
Conclusions:
This study contributes to an area with a paucity of information from non-high-income countries, finding differences with previous literature.
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