title: Modelling over week patterns of alcohol consumption.
abstract: OBJECTIVE
  This study aims to analyze alcohol consumption patterns throughout a week, controlled by socio-demographic characteristics, and to discuss the adequacy of the complex models employed.
  
  
  METHODS
  The sample included 496 participants, from both sexes, > or =40 years old and with 7-day dietary records. Bayesian generalized additive mixed models (GAMM) were applied using two approaches: a multinomial model, with three categories of alcohol consumption behaviour including; non-drinkers, alcohol during meals only and alcohol at any time; and a gamma model for drinkers which considered the total amount of alcohol ingested per day.
  
  
  RESULTS
  The multinomial model captured two different patterns of alcohol consumption: a sharp increase in consumption on weekends for mealtime only drinkers, the dominant behaviour among drinkers and a linear increase from Monday towards Sunday for those who drank at anytime. The effect of higher education changed from slightly protective for mealtime only drinkers to risky for anytime drinkers. The amount of alcohol consumed presents a pattern similar to the meals-only drinking.
  
  
  CONCLUSIONS
  Alcohol consumption increased during the week. Two different alcohol consumption patterns were identified according to drinking behaviours. The methodological approach utilized was essential in uncovering these patterns.
authors.affiliation: Department of Hygiene and Epidemiology, University of Porto Medical School, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal. carlal@med.up.pt
authors.forename: Carla
authors.initials: C
authors.lastname: Lopes
authors.forename: Valeska Lima
authors.initials: VL
authors.lastname: Andreozzi
authors.forename: Elisabete
authors.initials: E
authors.lastname: Ramos
authors.forename: Marilia
authors.initials: M
authors.lastname: Sá Carvalho
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000428:Alcohol Drinking / Q000191:economics / Q000453:epidemiology*; D000434:Alcoholic Beverages / Q000191:economics; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D012307:Risk Factors; D012959:Socioeconomic Factors; D013997:Time Factors