Income differences in food consumption in the 1995 Australian National Nutrition Survey.
OBJECTIVE
To assess the relationships between an index of per capita income and the intake of a variety of individual foods as well as groups of food for men and women in different age groups.


METHODS
Cross-sectional national survey of free-living men and women.


METHODS
A sample of 5053 males and 5701 females aged 18 y and over who completed the Australian National Nutrition Survey 1995.


METHODS
Information about the frequency of consumption of 88 food items was obtained. On the basis of scores on the Food Frequency Questionnaire, regular and irregular consumers of single foods were identified. The relationships between regularity of consumption of individual foods and per capita income were analysed via contingency tables. Food variety scores were derived by assigning individual foods to conventional food group taxonomies, and then summing up the dichotomised intake scores for individual foods within each food group. Two-way ANOVA (income x age group) were performed on the food variety scores for males and females, respectively.


RESULTS
Per capita income was extensively related to the reported consumption of individual foods and to total and food group variety indices. Generally, both men and women in low income households had less varied diets than those in higher-income households. However, several traditional foods were consumed less often by young high-income respondents, especially young women.


CONCLUSIONS
Major income differentials in food variety occur in Australia but they are moderated by age and gender. Younger high-income women, in particular, appear to have rejected a number of traditional foods, possibly on the basis of health beliefs. The findings also suggest that data aggregation has marked effects on income and food consumption relationships.
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000704:Analysis of Variance; D001315:Australia; D003430:Cross-Sectional Studies; D004435:Eating; D005247:Feeding Behavior; D005260:Female; D005502:Food / Q000145:classification* / Q000191:economics*; D006801:Humans; D007182:Income; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D017678:Sex Distribution