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.

  • Original Communication
  • Published:

Fat intake is more strongly associated with lifestyle factors than with socio-economic characteristics, regardless of energy adjustment approach

Abstract

Objective: To compare how three different energy adjustment approaches influence the ranking of individuals on fat intake, and to examine the relation between fat intake and socio-economic, demographic and lifestyle characteristics for each energy adjustment approach.

Design: A cross-sectional analysis project, using a sub-sample (7055 women and 3240 men) from the Malmö Diet and Cancer Study. Dietary habits were assessed with an interview based diet history method. Fat intake was, depending on energy-adjustment method, defined as absolute intake (FATg), percentage energy from fat (FAT%), and residuals from total fat regressed on total energy (FATres). Cross-classification compared categorisation into fat intake quintiles. Logistic regression estimated, separately for each of the three approaches, the associations between high fat intake and socio-economic, demographic and lifestyle characteristics.

Results: Agreement in individuals' ranking was high between FAT% and FATres, but FATg differed substantially from the others. Current smoking, low level of leisure time physical activity and low alcohol intakes were, in multivariate analysis, consistently associated with risk of high fat consumption regardless of energy adjustment method. However, the associations with socio-economic characteristics varied with energy adjustment method and gender groups.

Conclusions: The similarities between FAT% and FATres, in the ranking of individuals and in the association with lifestyle factors and socio-economic characteristics implies that it is possible to translate results obtained with FATres to recommendations using FAT%. The consistent lifestyle pattern across fat intake definitions (in energy adjusted models) may indicate that fat consumption is more strongly related to lifestyle factors than to socio-economic characteristics.

Sponsorship: The Swedish Cancer Society, the Swedish Medical Research Council, the European Commission, the Swedish Dairy Association, the Albert Påhlsson Foundation, and the City of Malmö.

Descriptors: dietary fat; energy adjustment; lifestyle; socio-economic factors; under-reporting; nutrient recommendations

European Journal of Clinical Nutrition (2001) 13, 452–461

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

  • Barker ME, McClean SI, Thompson KA & Reid NG (1990) Dietary behaviours and sociocultural demographics in Northern Ireland Br. J. Nutr. 64 319–329

    Article  CAS  PubMed  Google Scholar 

  • Beaton GH, Burema J & Ritenbaugh C (1997) Errors in the interpretation of dietary assessments Am. J. Clin. Nutr. 65(Suppl) 1100S–1107S

    Article  Google Scholar 

  • Bellach B & Kohlmeier L (1998) Energy adjustment does not control for differential recall bias in nutritional epidemiology J. Clin. Epidemiol. 51 393–398

    Article  PubMed  Google Scholar 

  • Berglund G, Elmståhl S, Janzon L & Larsson AS (1993) The Malmö Diet and Cancer Study: design and feasibility J. Intern. Med. 233 45–51

    Article  CAS  PubMed  Google Scholar 

  • Black AE, Goldberg GR, Jebb SA, Livingstone MBE, Cole TJ & Prentice AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys Eur. J. Clin. Nutr. 45 583–599

    CAS  PubMed  Google Scholar 

  • Bray GA & Popkin BM (1998) Dietary fat intake does affect obesity! Am. J. Clin. Nutr. 68 1157–1173

    Article  PubMed  Google Scholar 

  • Brown CC, Kipnis V, Freedman LS, Hartman AM, Schatzkin A & Wacholder S (1994) Energy adjustment methods for nutritional epidemiology: the effect of categorisation Am. J. Epidemiol 139 323–338

    Article  CAS  PubMed  Google Scholar 

  • Caggiula AW & Mustad VA (1997) Effects of dietary fat and fatty acids on coronary artery disease risk and total and lipoprotein cholesterol concentrations: epidemiologic studies. Am. J. Clin. Nutr. 65(Suppl) 1597S–1610S

    Article  Google Scholar 

  • Decarli A, Favero A, La Vecchia C, Russo A, Ferraroni M, Negri E & Franceschi S (1997) Macronutrients, energy intake, and breast cancer risk: implications from different models Epidemiology 8 425–428

    Article  CAS  PubMed  Google Scholar 

  • FAO/WHO/UNU (1985) Energy and protein requirements Report of a joint FAO/WHO/UNU expert consultation. Geneva: WHO.

  • Gibney MJ, Moloney M & Shelley E (1989) The Kilkenny Health Project: food and nutrient intakes in randomly selected healthy adults Br. J. Nutr. 61 129–137

    Article  CAS  PubMed  Google Scholar 

  • Goldberg GR & Black AE (1998) Assessment of the validity of reported energy intakes—review and recent development Scand. J. Nutr. 42 6–9

    Google Scholar 

  • Hegstedt MD, Ausmann LM, Johnsson JA & Dallal EG (1993) Dietary fat and serum lipids: an evaluation of the experimental data Am. J. Clin. Nutr. 57 875–883

    Article  Google Scholar 

  • Heitman Lilienthal B & Lissner L (1995) Dietary underreporting by obese individuals—is it specific or non-specific? Br. Med. J. 311 986–989

    Article  Google Scholar 

  • Hill MJ (1995) Diet and cancer: a review of scientific evidence Eur. J. Cancer Prev. 4 3–42

    Article  PubMed  Google Scholar 

  • Howell WH, McNamara DJ, Tosca MA, Smith BT & Gaines JA (1997) Plasma lipid and lipoprotein responses to dietary fat and cholesterol: a meta-analysis Am. J. Clin. Nutr. 65 1747–1764

    Article  CAS  PubMed  Google Scholar 

  • Hulshof KFAM, Löwik MRH, Kok FJ, Wedel M, Brants HAM & ten Hoor F (1991) Diet and other life-style factors in high and low socio-economic groups (Dutch nutrition surveillance system) Eur. J. Clin. Nutr. 45 441–450

    CAS  PubMed  Google Scholar 

  • Kipnis V, Freedman LS, Brown CC, Hartman AM, Schatzkin A & Wacholder S (1993) Interpretation of energy adjustment models for nutritional epidemiology Am. J. Epidemiol. 137 1376–1380

    Article  CAS  PubMed  Google Scholar 

  • Kipnis V, Freedman LS, Brown CC, Hartman AM, Schatzkin A & Wacholder S (1997) Effect of measurement error on energy-adjustment models in nutritional epidemiology Am. J. Epidemiol. 146 842–855

    Article  CAS  PubMed  Google Scholar 

  • Kritchevsky D & Hegstedt MD (1997) Diet and serum lipid concentrations: where are we? Am. J. Clin. Nutr. 65 1893–1896

    Article  Google Scholar 

  • Kushi LH, Sellers TA, Potter JD, Nelson CL, Munger RG, Kaye SA & Folsom AR (1992) Dietary fat and postmenopausal breast cancer J. Natl. Cancer Inst. 84 1092–1099

    Article  CAS  PubMed  Google Scholar 

  • Lissner L & Heitman B (1995) Dietary fat and obesity: evidence from epidemiology Eur. J. Clin. Nutr. 49 79–90

    Google Scholar 

  • Macdiarmid JI & Blundell JE (1998) Assessing dietary intake: who, what and why of under-reporting Nutr. Res. Rev. 11 231–253

    Article  Google Scholar 

  • Macdiarmid JI, Cade JE & Blundell JE (1996) High and low fat consumers, their macronutrient intake and body mass index: further analysis of the national diet and nutrition survey of British adults Eur. J. Clin. Nutr. 50 505–512

    CAS  PubMed  Google Scholar 

  • Mackerras D (1996) Energy adjustment: the concepts underlying the debate J. Clin. Epidemiol. 49 957–962

    Article  CAS  PubMed  Google Scholar 

  • National Bureau of Statistics (1989) Occupations in population and housing census 1985 (FoB 85) according to Nordic standard occupational classification (Nordisk yrkesklassificering, NYK) and Swedish socio-economic classification (Socioekonomisk indelning SEI) (In Swedish), 1989:5. Stockholm: Statistics Sweden

  • Nydahl M, Gustafsson I-B, Mohsen R & Vessby B (1996) The food and nutrient intake of Swedish non-smokers and smokers Scand. J. Nutr. 40 64–69

    Google Scholar 

  • Palmgren J (1993) Controlling for total energy intake in regression models for assessing macronutrient effects on disease Eur. J. Clin. Nutr. 47 S46–S50

    PubMed  Google Scholar 

  • Pra¨tta¨la¨ R, Karisto A & Berg M-A (1994) Consistency and variation in unhealthy behaviour among Finnish men, 1982–1990 Soc. Sci. Med. 39 115–122

    Article  Google Scholar 

  • Prentice RL, Pepe M & Self S (1989) Dietary fat and breast cancer: A quantitative assessment of the epidemiological literature and a discussion of methodological issues Cancer Res. 49 3147–3156

    CAS  PubMed  Google Scholar 

  • Riboli E, Elmsta˚hl S, Saracci R, Gullberg B & Lindga¨rde F (1997) The Malmö Food Study: validity of two dietary assessment methods for measuring nutrient intake Int. J. Epidemiol. 26 S161–S173

    Article  PubMed  Google Scholar 

  • Richardsson MT, Leon AS, Jacobs DR Jr, Ainsworth BE & Serfass R (1994) Comprehensive evaluation of the Minnesota Leisure Time Physical Activity Questionnaire J. Clin. Epidemiol. 47 271–281

    Article  Google Scholar 

  • Seidell JC (1998) Dietary fat and obesity: an epidemiological perspective Am. J. Clin. Nutr. 67(Suppl) 546S–550S

    Article  Google Scholar 

  • Stafleu A, de Graaf C, van Staveren WA & de Jong MA (1994) Attitudes towards high-fat foods and their low-fat alternatives: reliability and relation with fat intake Appetite 22 183–196

    Article  CAS  PubMed  Google Scholar 

  • Taylor HL, Jacobs DR Jr, Schucker B, Knudsen J, Leon AS & Debacker G (1978) A questionnaire for the assessment of leisure time physical activities J. Chron. Dis. 31 741–755

    Article  CAS  PubMed  Google Scholar 

  • Thorstensson B & Hugoson A (1996) Prevalence of some oral complaints and their relation to oral health variables in an adult Swedish population Acta. Odontol. Scand. 54 257–262

    Article  PubMed  Google Scholar 

  • Tjonneland A, Gronbaek M, Stripp C & Overvad K (1999) Wine intake and diet in a random sample of 48 763 Danish men and women Am. J. Clin. Nutr. 69 49–54

    Article  CAS  PubMed  Google Scholar 

  • Virtanen SM & Aro A (1994) Dietary factors in the aetiology of diabetes Ann. Med. 26 469–478

    Article  PubMed  Google Scholar 

  • Voss S, Kroke A, Klipstein-Grobusch K & Boeing H (1998) Is macronutrient composition of dietary intake data affected by underreporting? Results from EPIC-Potsdam study Eur. J. Clin. Nutr. 52 119–126

    Article  CAS  PubMed  Google Scholar 

  • Wacholder S, Schatzkin A, Freedman LS, Kipnis V, Hartman AM & Brown CC (1995) Can energy adjustment separate the effects of energy from those of specific macronutrients? Am. J. Epidemiol. 140 848–855

    Article  Google Scholar 

  • Wallström P, Wirfa¨lt E, Janzon L, Mattisson I, Elmsta˚hl S, Johansson U & Berglund G (2000) Fruit and vegetable consumption in relation to risk factors for cancer. A report from the Malmö Diet and Cancer Study Public Health Nutr. 3 263–271

    Article  PubMed  Google Scholar 

  • WHO Study Group (1990) Diet, nutrition, and the prevention of chronic diseases. WHO Study Group, report no. 797. Geneva: WHO

    Google Scholar 

  • WHO Study Group (1997) Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity, WHO/NUT/NCD/98.1. Geneva: WHO

    Google Scholar 

  • Willett WC (1998) Nutritional Epidemiology, 2nd edn. New York: Oxford University press

  • Willett WC, Howe GR & Kushi LH (1997) Adjustment for total energy intake in epidemiologic studies Am. J. Clin. Nutr. 65(Suppl) 1220S–1228S

    Article  Google Scholar 

  • Wirfa¨lt E, Mattisson I, Gullberg B & Berglund G (2000) Food patterns defined by cluster analysis and their utility as dietary exposure variables. A report from the Malmö Diet and Cancer Study. Public Health Nutr. 3 159–173

    Article  Google Scholar 

  • World Cancer Research Fund/American Institute for Cancer Research (1997) Food, nutrition and the prevention of cancer: a global perspective, ed. JD Potter Washington DC: World Cancer Research Fund/American Institute for Cancer Research

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I Mattisson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mattisson, I., Wirfält, E., Gullberg, B. et al. Fat intake is more strongly associated with lifestyle factors than with socio-economic characteristics, regardless of energy adjustment approach. Eur J Clin Nutr 55, 452–461 (2001). https://doi.org/10.1038/sj.ejcn.1601205

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1601205

This article is cited by

Search

Quick links