Article de Périodique
Risks of alcohol use disorders related to drinking patterns in the U.S. general population (2014)
Auteur(s) :
GREENFIELD, T. K. ;
YE, Y. ;
BOND, J. ;
KERR, W. C. ;
NAYAK, M. B. ;
KASKUTAS, L. A. ;
ANTON, R. F. ;
LITTEN, R. Z. ;
KRANZLER, H. R.
Année :
2014
Page(s) :
319-327
Langue(s) :
Anglais
Domaine :
Alcool / Alcohol
Discipline :
EPI (Epidémiologie / Epidemiology)
Thésaurus géographique
ETATS-UNIS
Thésaurus mots-clés
POPULATION GENERALE
;
ENQUETE
;
ALCOOL
;
TYPE D'USAGE
;
MORBIDITE
;
FACTEUR DE RISQUE
;
ABUS
;
DEPENDANCE
Résumé :
Objective: The purpose of this study was to examine the relations between drinking (mean quantity and heavy drinking patterns) and alcohol use disorders (AUDs) in the U.S. general population.
Method: Data from three telephone National Alcohol Surveys (in 2000, 2005, and 2010) were pooled, with separate analyses for men and women restricted to current drinkers (ns = 5,922 men, 6,270 women). Predictors were 12-month volume (mean drinks per day), rates of heavy drinking (5+/4+ drinks in a day for men/women), and very heavy drinking (8+, 12+, and 24+ drinks in a day). Outcomes were negative alcohol-related consequences constituting abuse (1+ of 4 DSM-IV-based domains assessed by 13 items) and alcohol dependence (symptoms in 3+ of 7 DSM-IV-based domains), together taken to indicate an AUD. Segmentation analyses were used to model risks of problem outcomes from drinking patterns separately by gender.
Results: In the general population, men and women who consumed Conclusions: The findings provide quantitative guidance for primary care practitioners who wish to make population-based recommendations to patients who might benefit by reducing both overall intake and amounts per occasion in an effort to lower their risks of developing AUDs.
Method: Data from three telephone National Alcohol Surveys (in 2000, 2005, and 2010) were pooled, with separate analyses for men and women restricted to current drinkers (ns = 5,922 men, 6,270 women). Predictors were 12-month volume (mean drinks per day), rates of heavy drinking (5+/4+ drinks in a day for men/women), and very heavy drinking (8+, 12+, and 24+ drinks in a day). Outcomes were negative alcohol-related consequences constituting abuse (1+ of 4 DSM-IV-based domains assessed by 13 items) and alcohol dependence (symptoms in 3+ of 7 DSM-IV-based domains), together taken to indicate an AUD. Segmentation analyses were used to model risks of problem outcomes from drinking patterns separately by gender.
Results: In the general population, men and women who consumed Conclusions: The findings provide quantitative guidance for primary care practitioners who wish to make population-based recommendations to patients who might benefit by reducing both overall intake and amounts per occasion in an effort to lower their risks of developing AUDs.
Affiliation :
Alcohol Research Group, Public Health Institute, Emeryville, California, USA
Cote :
Abonnement