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 Article
  • Published:

Inaccuracies in food and physical activity diaries of obese subjects: complementary evidence from doubly labeled water and co-twin assessments

Abstract

Objective:

To study whether eating or physical-activity (PA) habits differ between obese and non-obese monozygotic (MZ) co-twins independent of genetic effects.

Methods:

Rare MZ pairs discordant for obesity (n=14, body mass index difference 5.2±1.8 kg m–2) and weight-concordant control pairs (n=10, 1.0±0.7 kg m–2), identified through a population-based registry of 24–28-year-old twins (n=658 MZ pairs), completed 3-day food and PA diaries and eating behavior questionnaires. Each twin was asked to compare his/her own eating and PA patterns with the co-twin's behavior by structured questionnaires. Accuracy of energy intake was validated by doubly labeled water.

Results:

Non-obese co-twins consistently reported that their obese twin siblings ate more food overall, consumed less healthy foods and exercised less than the non-obese co-twins do. However, no differences in energy intake (9.6±1.0 MJ per day vs 9.8±1.1 MJ per day, respectively) in the food diaries or in the mean PA level (1.74±0.02 vs 1.79±0.04, respectively) in the PA diaries were found between obese and non-obese co-twins. A considerable underreporting of energy intake (3.2±1.1 MJ per day, P=0.036) and overreporting of PA (1.8±0.8 MJ per day, P=0.049) was observed in the obese, but not in the non-obese co-twins.

Conclusions:

On the basis of rare MZ twin pairs discordant for obesity, the co-twin assessments confirmed substantial differences in eating and PA behavior between obese and non-obese persons. These may be overlooked in population studies using food and PA diaries because of considerable misreporting by the obese.

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

Figure 1
Figure 2
Figure 3

Similar content being viewed by others

References

  1. WHO. Diet, nutrition and the prevention of chronic diseases. Report of the joint WHO/FAO expert consultation. WHO Technical Report Series, No. 916 (TRS 916). Geneva: World Health Organization, 2003.

  2. Andersson I, Rossner S . Meal patterns in obese and normal weight men: the ‘Gustaf’ study. Eur J Clin Nutr 1996; 50: 639–646.

    CAS  PubMed  Google Scholar 

  3. Davis JN, Hodges VA, Gillham MB . Normal-weight adults consume more fiber and fruit than their age- and height-matched overweight/obese counterparts. J Am Diet Assoc 2006; 106: 833–840.

    Article  Google Scholar 

  4. Duvigneaud N, Wijndaele K, Matton L, Philippaerts R, Lefevre J, Thomis M et al. Dietary factors associated with obesity indicators and level of sports participation in Flemish adults: a cross-sectional study. Nutr J 2007; 6: 26.

    Article  Google Scholar 

  5. Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC et al. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 2001; 73: 61–67.

    Article  CAS  Google Scholar 

  6. Hassapidou M, Fotiadou E, Maglara E, Papadopoulou SK . Energy intake, diet composition, energy expenditure, and body fatness of adolescents in northern Greece. Obesity (Silver Spring) 2006; 14: 855–862.

    Article  Google Scholar 

  7. Jackson M, Walker S, Forrester T, Cruickshank JK, Wilks R . Social and dietary determinants of body mass index of adult Jamaicans of African origin. Eur J Clin Nutr 2003; 57: 621–627.

    Article  CAS  Google Scholar 

  8. Kant AK, Graubard BI . Energy density of diets reported by American adults: association with food group intake, nutrient intake, and body weight. Int J Obes (Lond) 2005; 29: 950–956.

    Article  CAS  Google Scholar 

  9. Ledikwe JH, Blanck HM, Kettel Khan L, Serdula MK, Seymour JD, Tohill BC et al. Dietary energy density is associated with energy intake and weight status in US adults. Am J Clin Nutr 2006; 83: 1362–1368.

    Article  CAS  Google Scholar 

  10. Ortega RM, Requejo AM, Andres P, Lopez-Sobaler AM, Redondo R, Gonzalez-Fernandez M . Relationship between diet composition and body mass index in a group of Spanish adolescents. Br J Nutr 1995; 74: 765–773.

    CAS  PubMed  Google Scholar 

  11. Vagstrand K, Barkeling B, Forslund HB, Elfhag K, Linne Y, Rossner S et al. Eating habits in relation to body fatness and gender in adolescents—results from the ‘SWEDES’ study. Eur J Clin Nutr 2007; 61: 517–525.

    Article  CAS  Google Scholar 

  12. Sasaki S, Katagiri A, Tsuji T, Shimoda T, Amano K . Self-reported rate of eating correlates with body mass index in 18-y-old Japanese women. Int J Obes Relat Metab Disord 2003; 27: 1405–1410.

    Article  CAS  Google Scholar 

  13. Goris AH, Westerterp-Plantenga MS, Westerterp KR . Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr 2000; 71: 130–134.

    Article  CAS  Google Scholar 

  14. Voss S, Kroke A, Klipstein-Grobusch K, Boeing H . Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam Study. European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr 1998; 52: 119–126.

    Article  CAS  Google Scholar 

  15. Heitmann BL, Lissner L, Osler M . Do we eat less fat, or just report so? Int J Obes Relat Metab Disord 2000; 24: 435–442.

    Article  CAS  Google Scholar 

  16. Hakala P, Rissanen A, Koskenvuo M, Kaprio J, Rönnemaa T . Environmental factors in the development of obesity in identical twins. Int J Obes Relat Metab Disord 1999; 23: 746–753.

    Article  CAS  Google Scholar 

  17. Rissanen A, Hakala P, Lissner L, Mattlar CE, Koskenvuo M, Rönnemaa T . Acquired preference especially for dietary fat and obesity: a study of weight-discordant monozygotic twin pairs. Int J Obes Relat Metab Disord 2002; 26: 973–977.

    Article  CAS  Google Scholar 

  18. Hill RJ, Davies PS . The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 2001; 85: 415–430.

    Article  CAS  Google Scholar 

  19. Trabulsi J, Schoeller DA . Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab 2001; 281: E891–E899.

    Article  CAS  Google Scholar 

  20. Kaprio J . Twin studies in Finland 2006. Twin Res Hum Genet 2006; 9: 772–777.

    Article  Google Scholar 

  21. Gertow K, Pietiläinen KH, Yki-Järvinen H, Kaprio J, Rissanen A, Eriksson P et al. Expression of fatty-acid-handling proteins in human adipose tissue in relation to obesity and insulin resistance. Diabetologia 2004; 47: 1118–1125.

    Article  CAS  Google Scholar 

  22. Kannisto K, Pietiläinen KH, Ehrenborg E, Rissanen A, Kaprio J, Hamsten A et al. Overexpression of 11beta-hydroxysteroid dehydrogenase-1 in adipose tissue is associated with acquired obesity and features of insulin resistance: studies in young adult monozygotic twins. J Clin Endocrinol Metab 2004; 89: 4414–4421.

    Article  CAS  Google Scholar 

  23. Pietiläinen KH, Kannisto K, Korsheninnikova E, Rissanen A, Kaprio J, Ehrenborg E et al. Acquired obesity increases CD68 and tumor necrosis factor-alpha and decreases adiponectin gene expression in adipose tissue: a study in monozygotic twins. J Clin Endocrinol Metab 2006; 91: 2776–2781.

    Article  Google Scholar 

  24. Pietiläinen KH, Rissanen A, Kaprio J, Mäkimattila S, Hakkinen AM, Westerbacka J et al. Acquired obesity is associated with increased liver fat, intra-abdominal fat, and insulin resistance in young adult monozygotic twins. Am J Physiol Endocrinol Metab 2005; 288: E768–E774.

    Article  Google Scholar 

  25. Pietiläinen KH, Bergholm R, Rissanen A, Kaprio J, Hakkinen AM, Sattar N et al. Effects of acquired obesity on endothelial function in monozygotic twins. Obesity (Silver Spring) 2006; 14: 826–837.

    Article  Google Scholar 

  26. Pietiläinen KH, Rissanen A, Laamanen M, Lindholm AK, Markkula H, Yki-Järvinen H et al. Growth patterns in young adult monozygotic twin pairs discordant and concordant for obesity. Twin Res 2004; 7: 421–429.

    Article  Google Scholar 

  27. Keski-Rahkonen A, Bulik CM, Pietiläinen KH, Rose RJ, Kaprio J, Rissanen A . Eating styles, overweight and obesity in young adult twins. Eur J Clin Nutr 2007; 61: 822–829.

    Article  CAS  Google Scholar 

  28. Garner DM . Eating Disorder Inventory 2, Professional Manual. Psychological Assessment Resources: Odessa, FL, 1991.

    Google Scholar 

  29. Bond MJ, McDowell AJ, Wilkinson JY . The measurement of dietary restraint, disinhibition and hunger: an examination of the factor structure of the Three Factor Eating Questionnaire (TFEQ). Int J Obes Relat Metab Disord 2001; 25: 900–906.

    Article  CAS  Google Scholar 

  30. Karlsson J, Persson LO, Sjöström L, Sullivan M . Psychometric properties and factor structure of the Three-Factor Eating Questionnaire (TFEQ) in obese men and women. Results from the Swedish Obese Subjects (SOS) study. Int J Obes Relat Metab Disord 2000; 24: 1715–1725.

    Article  CAS  Google Scholar 

  31. Stunkard AJ, Messick S . The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 1985; 29: 71–83.

    Article  CAS  Google Scholar 

  32. Gormally J, Black S, Daston S, Rardin D . The assessment of binge eating severity among obese persons. Addict Behav 1982; 7: 47–55.

    Article  CAS  Google Scholar 

  33. National Institute for Health and Welfare. Nutrition Unit. Fineli. Finnish food composition database. Release 9. Helsinki 2009. http://www.fineli.fi.

  34. Bouchard C, Tremblay A, Leblanc C, Lortie G, Savard R, Theriault G . A method to assess energy expenditure in children and adults. Am J Clin Nutr 1983; 37: 461–467.

    Article  CAS  Google Scholar 

  35. FAO/WHO/UNU. Energy and protein requirements. Report of a joint FAO/WHO/UNU expert consultation. Technical report series 724. Geneva: World Health Organization, 1985.

  36. Westerterp KR, Wouters L, van Marken Lichtenbelt WD . The Maastricht protocol for the measurement of body composition and energy expenditure with labeled water. Obes Res 1995; 3: 49–57.

    Article  Google Scholar 

  37. Pietiläinen KH, Kaprio J, Borg P, Plasqui G, Yki-Järvinen H, Kujala UM et al. Physical inactivity and obesity: a vicious circle. Obesity (Silver Spring) 2008; 16: 409–414.

    Article  Google Scholar 

  38. Rao JNK, Scott AK . On chi-squared tests for mulitway contingency tables with cell proportions estimated from surbey data. Ann Stat 1984; 12: 46–60.

    Article  Google Scholar 

  39. Rennie KL, Siervo M, Jebb SA . Can self-reported dieting and dietary restraint identify underreporters of energy intake in dietary surveys? J Am Diet Assoc 2006; 106: 1667–1672.

    Article  Google Scholar 

  40. Westerterp KR, Goris AH . Validity of the assessment of dietary intake: problems of misreporting. Curr Opin Clin Nutr Metab Care 2002; 5: 489–493.

    Article  Google Scholar 

  41. Lissner L . Measuring food intake in studies of obesity. Public Health Nutr 2002; 5: 889–892.

    Article  Google Scholar 

  42. Heitmann BL, Lissner L . Dietary underreporting by obese individuals—is it specific or non-specific? BMJ 1995; 311: 986–989.

    Article  CAS  Google Scholar 

  43. Macdiarmid JI, Vail A, Cade JE, Blundell JE . The sugar-fat relationship revisited: differences in consumption between men and women of varying BMI. Int J Obes Relat Metab Disord 1998; 22: 1053–1061.

    Article  CAS  Google Scholar 

  44. Roberts SB, Leibel RL . Excess energy intake and low energy expenditure as predictors of obesity. Int J Obes Relat Metab Disord 1998; 22: 385–386.

    Article  CAS  Google Scholar 

  45. Kesaniemi YA, Danforth E, Jensen MD, Kopelman PG, Lefebvre P, Reeder BA . Dose-response issues concerning physical activity and health: an evidence-based symposium. Med Sci Sports Exerc 2001; 33: s351–s358.

    Article  CAS  Google Scholar 

  46. Fraga MF, Ballestar E, Paz MF, Ropero S, Setien F, Ballestar ML et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci USA 2005; 102: 10604–10609.

    Article  CAS  Google Scholar 

  47. Korkeila M, Kaprio J, Rissanen A, Koskenvuo M . Effects of gender and age on the heritability of body mass index. Int J Obes 1991; 15: 647–654.

    CAS  PubMed  Google Scholar 

  48. Keskitalo K, Silventoinen K, Tuorila H, Perola M, Pietiläinen KH, Rissanen A et al. Genetic and environmental contributions to food use patterns of young adult twins. Physiol Behav 2008; 93: 235–242.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We wish to thank all the volunteers, and Erjastiina Heikkinen, Taija Kivimäki and Anna-Maija Tiainen. The study was supported by the National Institute on Alcohol Abuse and Alcoholism (grants AA-08315, AA-00145 and AA-12502), the European Union Fifth Framework Program (QLRT-1999-00916, QLG2-CT-2002-01254), DiOGenes project, the Academy of Finland (Grant 44069, 100499 and 201461), the Academy of Finland Centre of Excellence in Complex Disease Genetics, Helsinki University Central Hospital grants, and grants from Yrjö Jahnsson Foundation, Jalmari and Rauha Ahokas Foundation, Juho Vainio Foundation, Finnish Cultural Foundation, Finnish Medical Foundation and Research Foundation of the Orion Corporation. DiOGenes is the acronym of the project ‘Diet, Obesity and Genes’ supported by the European Community (Contract no. FOOD-CT-2005-513946).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K H Pietiläinen.

Appendix

Appendix

Which of you, you or your co-twin… Eats more Eats healthier food Eats more snacks Eats more regularly Eats more slowly Eats more fatty foods Eats more sweet and fatty delicacies (chocolate, pastries, ice cream) Eats more sweets (candies or jellies) Is more worried about appearance Goes on diets more often Exercises more Walks instead of taking a car or elevator, or makes other ‘active’ choices in daily life Makes more movement during normal non-exercise activities (that is fidgeting) Response alternatives were ‘me, my co-twin, there is no difference between us, do not know’

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pietiläinen, K., Korkeila, M., Bogl, L. et al. Inaccuracies in food and physical activity diaries of obese subjects: complementary evidence from doubly labeled water and co-twin assessments. Int J Obes 34, 437–445 (2010). https://doi.org/10.1038/ijo.2009.251

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2009.251

Keywords

This article is cited by

Search

Quick links