Personal and lifestyle characteristics predictive of the consumption of fast foods in Australia.
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.
Mohr
Philip
P
CSIRO Human Nutrition, PO Box 10041, Adelaide BC, South Australia 5000, Australia.
Wilson
Carlene
C
Dunn
Kirsten
K
Brindal
Emily
E
Wittert
Gary
G
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