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Personal and lifestyle characteristics predictive of the consumption of fast foods in Australia

  • Philip Mohr (a1), Carlene Wilson (a1), Kirsten Dunn (a1) (a2), Emily Brindal (a1) (a2) and Gary Wittert (a3)...
Abstract
AbstractObjective

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.

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Copyright
Corresponding author
*Corresponding author: Email Phil.mohr@csiro.au
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4SJ Olshansky , DJ Passaro , RC Hershow , J Layden , BA Carnes , J Brody , . A potential decline in life expectancy in the United States in the 21st century. New England Journal of Medicine 2005; 352 (11): 11381145.

5JK Binkley , J Eales , M Jekanowski . The relation between dietary change and rising US obesity. International Journal of Obesity and Related Metabolic Disorders 2000; 24 (8): 10321039.

6SA Bowman , BT Vinyard . Fast food consumption of US adults: impact on energy and nutrient intakes and overweight status. Journal of the American College of Nutrition 2004; 23 (2): 163168.

7LJ Gillis , O Bar-Or . Food away from home, sugar-sweetened drink consumption and juvenile obesity. Journal of the American College of Nutrition 2003; 22 (6): 539545.

8VR Henderson , B Kelly . Food advertising in the age of obesity: content analysis of food advertising on general market and African American television. Journal of Nutrition Education and Behavior 2005; 37 (4): 191196.

9SJ Nielsen , AM Siega-Riz , BM Popkin . Trends in energy intake in US between 1977 and 1996: similar shifts seen across age groups. Obesity Research 2002; 10 (5): 370378.

10SC Woods . Signals that influence food intake and body weight. Physiology & Behavior 2005; 86 (5): 709716.

11SA Bowman , SL Gortmaker , CB Ebbeling , MA Pereira , DS Ludwig . Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics 2004; 113 (1): 112118.

12M Schmidt , SG Affenito , R Striegel-Moore , PR Khoury , B Barton , P Crawford , . Fast-food intake and diet quality in black and white girls: the National Heart, Lung, and Blood Institute Growth and Health Study. Archives of Pediatrics & Adolescent Medicine 2005; 159 (7): 626631.

14K Harrison , AL Marske . Nutritional content of foods advertised during the television programs children watch most. American Journal of Public Health 2005; 95 (9): 15681574.

15MA Pereira , AI Kartashov , CB Ebbeling , L Van Horn , ML Slattery , DR Jacobs Jr, . Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 2005; 365 (9453): 3642.

16D Galuska , M Serdula , E Pamuk , PZ Siegel , T Byers . Trends in overweight among US adults from 1987 to 1993: a multistate telephone survey. American Journal of Public Health 1996; 86 (12): 17291735.

17AK Kant , BI Graubard . Eating out in America, 1987–2000: trends and nutritional correlates. Preventive Medicine 2004; 38 (2): 243249.

18JF Guthrie , BH Lin , E Frazao . Role of food prepared away from home in the American diet, 1977–78 versus 1994–96: changes and consequences. Journal of Nutrition Education and Behavior 2002; 34 (3): 140150.

20SA French , L Harnack , RW Jeffery . Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. International Journal of Obesity and Related Metabolic Disorders 2000; 24 (10): 13531359.

21S Paeratakul , DP Ferdinand , CM Champagne , DH Ryan , GA Bray . Fast-food consumption among US adults and children: dietary and nutrient intake profile. Journal of the American Dietetic Association 2003; 103 (10): 13321338.

22AM Prentice , SA Jebb . Fast foods, energy density and obesity: a possible mechanistic link. Obesity Reviews 2003; 4 (4): 187194.

23SA French , M Story , D Neumark-Sztainer , JA Fulkerson , P Hannan . Fast food restaurant use among adolescents: associations with nutrient intake, food choices and behavioral and psychosocial variables. International Journal of Obesity and Related Metabolic Disorders 2001; 25 (12): 18231833.

24J Utter , D Neumark-Sztainer , R Jeffery , M Story . Couch potatoes or French fries: are sedentary behaviors associated with body mass index, physical activity, and dietary behaviors among adolescents? Journal of the American Dietetic Association 2003; 103 (10): 12981305.

25T King , AM Kavanagh , D Jolley , G Turrell , D Crawford . Weight and place: a multilevel cross-sectional survey of area-level social disadvantage and overweight/obesity in Australia. International Journal of Obesity 2006; 30 (2): 281287.

26SE Linn . Food marketing to children in the context of a marketing maelstrom. Journal of Public Health Policy 2004; 25 (3–4): 367378.

27BA Swinburn , G Egger . The runaway weight gain train: too many accelerators, not enough brakes. British Medical Journal 2004; 329 (7648): 736739.

28BA Swinburn , G Egger , F Raza . Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity. Preventive Medicine 1999; 29 (6): 563570.

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Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
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