Historique
Article de Périodique
Individual patterns of alcohol use (2014)
Auteur(s) :
BOBASHEV, G. V. ;
LIAO, D. ;
HAMPTON, J. ;
HELZER, J. E.
Année
2014
Page(s) :
934-940
Langue(s) :
Anglais
Domaine :
Alcool / Alcohol
Discipline :
EPI (Epidémiologie / Epidemiology)
Thésaurus géographique
ETATS-UNIS
Thésaurus mots-clés
ALCOOL
;
TYPE D'USAGE
;
METHODE
;
CLASSIFICATION
;
MODELE STATISTIQUE
Résumé :
AIMS: We present methodology to identify statistically distinct patterns of daily alcohol use and classify them into categories that could be further used in monitoring of transitions between patterns such as transitions from regular to problem use.
DATA: The study analyzed individual patterns of adult alcohol consumption from two datasets containing short (<6 month) and long (up to 2years) daily records of drinking. These data were collected over the period between 1999 and 2003.
RESULTS: By using a non-parametric (Kolmogorov-Smirnov) test we have identified distinct drinking patterns and classified them into 8 types according to their means, percentages of non-drinking days and variances of consumed amount during drinking days. For each studied individual we calculated a transition chart that characterizes transitions between the types.
CONCLUSIONS: Individual daily consumption patterns can be identified, and classified into distinct patterns. Changes between the patterns could be related to life events or environmental trends, and thus provide insights into pathways towards either heavier use or recovery.
Highlights:
Individual alcohol use trajectories were analyzed from time series of daily reports.
A novel methodology was developed to identify statistically distinct use patterns.
Patterns were classified into mutually exclusive categories.
Patterns were used to monitor transitions between recreational and problem use.
DATA: The study analyzed individual patterns of adult alcohol consumption from two datasets containing short (<6 month) and long (up to 2years) daily records of drinking. These data were collected over the period between 1999 and 2003.
RESULTS: By using a non-parametric (Kolmogorov-Smirnov) test we have identified distinct drinking patterns and classified them into 8 types according to their means, percentages of non-drinking days and variances of consumed amount during drinking days. For each studied individual we calculated a transition chart that characterizes transitions between the types.
CONCLUSIONS: Individual daily consumption patterns can be identified, and classified into distinct patterns. Changes between the patterns could be related to life events or environmental trends, and thus provide insights into pathways towards either heavier use or recovery.
Highlights:
Individual alcohol use trajectories were analyzed from time series of daily reports.
A novel methodology was developed to identify statistically distinct use patterns.
Patterns were classified into mutually exclusive categories.
Patterns were used to monitor transitions between recreational and problem use.
Affiliation :
RTI International, Durham, NC, USA