title: Personal and lifestyle characteristics predictive of the consumption of fast foods in Australia.
abstract: OBJECTIVE
  To identify key predictors of fast-food consumption from a range of demographic, attitudinal, personality and lifestyle variables.
  
  
  METHODS
  We analysed data from a nationwide survey (n = 20 527) conducted in Australia by Nielsen Media Research. Items assessing frequency of fast-food consumption at (1) eat in and (2) take away were regressed onto 12 demographic, seven media consumption, and 23 psychological and lifestyle variables, the latter derived from factor analysis of responses to 107 attitudinal and behavioural items.
  
  
  RESULTS
  Stepwise multiple regression analyses explained 29.6% of the variance for frequency of take-away and 9.6% of the variance for frequency of eat-in consumption of fast foods. Predictors of more frequent consumption of fast food at take away (and, to a lesser extent, eat in) included lower age - especially under 45 years, relative indifference to health consequences of behaviour, greater household income, more exposure to advertising, greater receptiveness to advertising, lesser allocation of time for eating, and greater allocation of time to home entertainment. There were no effects for occupational status or education level.
  
  
  CONCLUSIONS
  The effects for age suggest that fast-food take-away consumption is associated with a general cultural shift in eating practices; individual differences in attitudinal and lifestyle characteristics constitute additional, cumulative, predictive factors. The role of advertising and the reasons for the lesser explanatory value of the eat-in models are important targets for further research.
authors.affiliation: CSIRO Human Nutrition, PO Box 10041, Adelaide BC, South Australia 5000, Australia.
authors.forename: Philip
authors.initials: P
authors.lastname: Mohr
authors.forename: Carlene
authors.initials: C
authors.lastname: Wilson
authors.forename: Kirsten
authors.initials: K
authors.lastname: Dunn
authors.forename: Emily
authors.initials: E
authors.lastname: Brindal
authors.forename: Gary
authors.initials: G
authors.lastname: Wittert
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D001294:Attitude to Health; D001315:Australia; D002755:Choice Behavior; D005163:Factor Analysis, Statistical; D005260:Female; D005518:Food Preferences / Q000523:psychology*; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D012044:Regression Analysis; D012147:Restaurants / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors