Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Paper
  • Published:

How covert are covertly manipulated diets?

Abstract

OBJECTIVE: To quantitatively assess subjects' ability to detect hedonic (palatability), sensory and nutritional differences between covertly manipulated high-fat (HF) and low-fat (LF) diets.

SUBJECTS AND DIETS: This study examined the response of 16 subjects (eight men, eight women) to 20 LF and 20 HF versions of manipulated foods. Average percentage protein:fat:carbohydrate (by energy) and energy density (ED) of the two diets were 13:25:62, 371 kJ/100 g and 13:50:37, 672 kJ/100 g, respectively.

PROTOCOL: Subjects were asked to simultaneously assess the HF and LF versions of each food in terms of (i) subjective pleasantness of each food, (ii) perceived differences in appearance, smell, taste and texture of the foods, and (iii) for each sample to assess whether it was high or low in energy, protein, carbohydrate, fat, fibre, sugar and salt.

ANALYSIS: Perceived pleasantness of HF and LF versions of the foods was compared by analysis of variance. Comparisons used chi-squared tests of independence to assess departure from the null hypothesis of no perceived difference in remaining parameters (ii–iii).

RESULTS: On average, subjects exhibited no significant preference for LF or HF versions of the foods (no difference 15 foods, three HF foods more pleasant, two LF foods more pleasant (P<0.03)). On average there were no general differences in comparison of sensory attributes that were consistently ascribable to the LF or HF foods, although there were numerous significant differences for individual foods. Subjects appeared unable to distinguish the HF foods as being HF (66% of estimates) and guessed correctly 33% of the time. They were better able to categorize the LF foods correctly (53% correct). On aggregate 43% of HF and LF foods were correctly identified. Subjects appeared able to detect sensory differences between foods but not to relate them to energy or nutrient content of these foods.

CONCLUSIONS: These data suggest that subjects are on average not able to perceive large differences in the fat content of diets manipulated in this manner. In general the assumption that the manipulation of such foods is covert appears to hold, but subjects were far better at correctly identifying certain food types (dairy-based) over others.

International Journal of Obesity (2001) 25, 567–573

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Lissner L, Levitsky DA, Strupp BJ, Kalkwarf HJ, Roe DA . Dietary fat and the regulation of energy intake in human subjects Am J Clin Nutr 1987 46: 886–892.

    Article  CAS  Google Scholar 

  2. Thomas CD, Peters JC, Reed GW, Abumrad NN, Sun Ming, Hill JO . Nutrient balance and energy expenditure during ad libitum feeding of high-fat and high-carbohydrate diets in humans Am J Clin Nutr 1992 55: 934–942.

    Article  CAS  Google Scholar 

  3. Stubbs RJ, Harbron CG, Murgatroyd PR, Prentice AM . Covert manipulation of dietary fat and energy density: effect on substrate flux and food intake in men feeding ad libitum Am J Clin Nutr 1995 62: 316–330.

    Article  CAS  Google Scholar 

  4. Blundell JE, Stubbs RJ . Diet and food intake in humans. In: Bray GA, Bouchard C, James WPT (eds) International handbook of obesity Dekker: New York 1997.

    Google Scholar 

  5. Stubbs RJ, Harbron CG, Prentice AM . The effect of covertly manipulating the dietary fat to carbohydrate ratio of isoenergetically dense diets on ad libitum food intake in free-living humans Int J Obes Relat Metab Disord 1996 20: 651–660.

    CAS  PubMed  Google Scholar 

  6. Stubbs RJ, Harbron CG . Covert manipulation of the ratio of medium to long-chain triglycerides in isoenergetically dense diets: effect on food intake in ad libitum feeding men Int J Obes Relat Metab Disord 1996 20: 435–444.

    CAS  PubMed  Google Scholar 

  7. Jellinek G . Introduction to and critical review of modern methods of sensory analysis (odour, taste and flavour evaluation) with special emphasis on descriptive sensory analysis (flavour profile method) J Nutr Dietet 1964 1: 219–260.

    Google Scholar 

  8. Hill AJ, Blundell JE . Nutrients and behaviour: research strategies for the investigation of taste characteristics food preferences hunger sensations and eating patterns in man J Psychol Res 1982 17: 203–212.

    Article  Google Scholar 

  9. Hill AJ, Rogers PJ, Blundell JE . Techniques for the experimental measurement of human eating behavior and food intake: a practical guide Int J Obes Relat Metab Disord 1995 19: 461–476.

    Google Scholar 

  10. Holland B et al. McCance and Widdowson's The composition of foods, 5th revised edition HMSO: London 1991.

  11. Cooling J, Blundell JE . Are high-fat and low-fat consumers distinct phenotypes? Differences in the subjective and behavioural responses to energy and nutrient challenges Eur J Clin Nutr 1998 52: 193–201.

    Article  CAS  Google Scholar 

  12. Sheen MR, Drayton JL . Influence of brand label on sensory perception. In: Thoman DMG (ed) Food acceptability. London: Elsevier Applied Sciences 1988 pp 89–99.

    Google Scholar 

  13. Aaron JI, Mela DJ, Evans RE . The influences of attitudes, beliefs and label information on perceptions of reduced-fat spread Appetite 1994 22: 25–37.

    Article  CAS  Google Scholar 

  14. Cooper HR . Texture in dairy products and its sensory evaluation. In: HR Moskowitz (ed) Food texture Dekker: New York 1987 251–272.

    Google Scholar 

  15. Mela D, Sacchetti D . Sensory preferences for fats: relationships with diet and body composition Am J Clin Nutr 1991 53: 908–915.

    Article  CAS  Google Scholar 

  16. Casimir DJ, Whitfield FB . Flavor impact values: a new concept for assigning numerical values for the potency of individual flavor components and their contribution to the overall flavor profile. In: Flavor of Fruits and Fruit Juices Symposium International Federation of Fruit Juice Producers: Bern 1978 325–347.

  17. Le Magnen J . Neurobiology of feeding and nutrition Academic Press: San Diego, CA 1992.

  18. Naim M, Brand JG, Kare MR, Carpenter RG . Energy intake, weight gain and fat deposition in rats fed flavored, nutritionally controlled diets in a multichoice (‘cafeteria’) design J Nutr 1985 115: 1447–1458.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to RJ Stubbs.

Additional information

Part of this work was presented as an abstract at the International Congress on Obesity, Paris, France, 29th August to 3rd September 1998.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Stubbs, R., Mullen, S., Johnstone, A. et al. How covert are covertly manipulated diets?. Int J Obes 25, 567–573 (2001). https://doi.org/10.1038/sj.ijo.0801577

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ijo.0801577

Keywords

This article is cited by

Search

Quick links