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Self-reported rate of eating correlates with body mass index in 18-y-old Japanese women

International Journal of Obesity volume 27, pages 1405–1410 (2003)Cite this article

Abstract

OBJECTIVE: To examine associations between rate of eating and macronutrient and dietary fiber intake, and body mass index (BMI).

DESIGN: Cross-sectional study.

SUBJECTS: A total of 1695 18-y-old female Japanese dietetic students.

MEASUREMENTS: Macronutrient intake (protein, carbohydrate, and fat) and dietary fiber intake were assessed over a 1-month period with a validated, self-administered, diet history questionnaire. Body height and weight and rate of eating (according to five categories) were self-reported.

RESULTS: Among the nutrients examined, only dietary fiber intake weakly, but significantly, and negatively correlated with BMI in a multiple regression analysis. The rate of eating showed a significant and positive correlation with BMI. The mean BMI was higher by 2.2, 1.5, 1.0, and 0.5 kg/m2 in the ‘very fast’, ‘relatively fast’, ‘medium’, and ‘relatively slow’ groups, respectively, compared with the ‘very slow’ rate of eating group. This correlation remained evident after adjustment for nutrient intake.

CONCLUSIONS: Rate of eating showed a significant and positive correlation with BMI, whereas only dietary fiber intake showed a weak correlation with BMI.

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References

  1. Hill SW, McCutcheon NB . Contributions of obesity, gender, hunger, food preference, and body size, bite speed, and rate of eating. Appetite 1984; 5: 73–83.

    Article  CAS  PubMed  Google Scholar 

  2. Spiegel TA, Wadden TA, Foster GD . Objective measurement of eating rate during behavioral treatment of obesity. Behav Ther 1991; 22: 61–67.

    Article  Google Scholar 

  3. Barkeling B, Ekman S, Rossner S . Eating behaviour in obese and normal weight 11-year-old children. Int J Obes Relat Metab Disord 1992; 16: 355–360.

    CAS  PubMed  Google Scholar 

  4. Gerace TA, George VA . Predictors of weight increases over 7 years in fire fighters and paramedics. Prev Med 1996; 25: 593–600.

    Article  CAS  PubMed  Google Scholar 

  5. Ortega RM, Redondo MR, Lopez-Sobaler AM, Quintas ME, Zamora MJ, Andres P, Encinas-Sotillos A . Associations between obesity, breakfast-time food habits and intake of energy and nutrients in a group of elderly Madrid residents. J Am Coll Nutr 1996; 15: 65–72.

    Article  CAS  PubMed  Google Scholar 

  6. Lissner L, Heitmann BL . Dietary fat and obesity: evidence from epidemiology. Eur J Clin Nutr 1995; 49: 79–90.

    CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  8. Willett WC . Is dietary fat a major determinant of body fat? Am J Clin Nutr 1998; 67(Suppl): 556S–562S.

    Article  CAS  PubMed  Google Scholar 

  9. Na HB, Kim SR . A study of energy intake and body fat percent of college students in Seoul. J Commun Nutr 2000; 2: 105–109.

    Google Scholar 

  10. Stookey JD . Energy density, energy intake and weight status in a large free-living sample of Chinese adults: exploring the underlying roles of fat, protein, carbohydrate, fiber and water intakes. Eur J Clin Nutr 2001; 55: 349–359.

    Article  CAS  PubMed  Google Scholar 

  11. Trichopoulou A, Gnardellis C, Benetou P, Bamita C, Trichopoulos D . Lipid, protein and carbohydrate intake in relation to body mass index. Eur J Clin Nutr 2002; 56: 37–43.

    Article  CAS  PubMed  Google Scholar 

  12. Stevens J . Does dietary fiber affect food intake and body weight? J Am Diet Assoc 1988; 88: 939–945.

    CAS  PubMed  Google Scholar 

  13. Ludwig DS, Pereira MA, Kroenke CH, Hilner JE, Van Horn L, Slattery ML, Jacobs Jr DR . Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults. JAMA 1999; 282: 1539–1546.

    Article  CAS  PubMed  Google Scholar 

  14. Duncan KH, Bacon JA, Weinsier RL . The effects of high and low energy diets on satiety, energy intake, and eating time of obese and nonobese subjects. Am J Clin Nutr 1993; 57: 763–767.

    Google Scholar 

  15. Drewnowski A . Energy, density, palatability, and satiety: implications for weight control. Nutr Rev 1998; 56: 247–253.

    Google Scholar 

  16. Sasaki S, Tsuji T, Katagiri A, Shimoda T for the Diets of the Fresh Students in Dietetic Courses Study Group. Association between the numbers of food items bought in convenience stores and nutrient and food-group intakes—a survey of first-year female college students taking dietetic courses. J Jon Soc Nutr Sci 2000; 53: 215–226 (in Japanese with English abstract).

    Google Scholar 

  17. Sasaki S, Yanagibori R, Amano K . Self-administered diet history questionnaire developed for health education: a relative validation of the test-version by comparison with 3-day diet record in women. J Epidemiol 1998; 8: 203–215.

    Article  CAS  PubMed  Google Scholar 

  18. Sasaki S, Ushio F, Amano K, Morihara M, Todoriki T, Uehara Y, Toyooka T . Serum biomarker-based validation of a self-administered diet history questionnaire for Japanese subjects. J Nutr Sci Vitaminol 2000; 46: 285–296.

    Article  CAS  PubMed  Google Scholar 

  19. Ministry of Health and welfare. Recommended dietary allowance for Japanese: dietary reference intakes, 6th revised edn. Ministry of Health and Welfare; 1999 (in Japanese).

  20. Block G, Woods M, Potosky A, Clifford C . Validation of a self-administered diet history questionnaire using multiple diet records. J Clin Epidemiol 1990; 43: 1327–1335.

    Article  CAS  PubMed  Google Scholar 

  21. Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC . Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 1992; 135: 1114–1126.

    Article  CAS  PubMed  Google Scholar 

  22. Willett W, Stampfer MJ . Total energy intake: implications for epidemiologic analysis. Am J Epidemiol 1986; 124: 17–27.

    Article  CAS  PubMed  Google Scholar 

  23. Braam LA, Ocke MC, Bueno-de-Mesquita HB, Seidell JC . Determinants of obesity-related underreporting of energy intake. Am J Epidemiol 1998; 147: 1081–1086.

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  25. Ferrari P, Slimani N, Ciampi A, Trichopoulou A, Naska A, Lauria C, Veglia F, Bueno-de-Mesquita HB, Ocke MC, Brustad M, Braaten T, Jose Tormo M, Amiano P, Mattisson I, Johansson G, Welch A, Davey G, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Linseisen J, Boeing H, Hemon B, Riboli E . Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 2002; 5: 1329–1345.

    Article  CAS  PubMed  Google Scholar 

  26. Miyagi S . Relationship between obesity level of female students and their dietary habits, health and body perception. Jpn J Nutr 1998; 56: 33–45 (in Japanese with English abstract).

    Article  Google Scholar 

  27. Goodman E, Hinden BR, Khandelwal S . Accuracy of teen and parental reports of obesity and body mass index. Pediatrics 2000; 106: 52–58.

    Article  CAS  PubMed  Google Scholar 

  28. Kuczmarski MF, Kuczmarski RJ, Najjar M . Effects of age on validity of self-reported height, weight, and body mass index: findings from the third national health and nutrition examination survey, 1988–1994. J Am Diet Assoc 2001; 101: 28–34.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. National Institute of Health and Nutrition, Tokyo, Japan

    S Sasaki

  2. School of Health Sciences and Nursing, The University of Tokyo, Tokyo, Japan

    A Katagiri

  3. Nagoya City University, Nagoya, Japan

    T Tsuji

  4. Kyushu Women's University, Kitakyushu, Japan

    T Shimoda

  5. Tokyo University of Fisheries, Tokyo, Japan

    K Amano

Authors
  1. S Sasaki
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  2. A Katagiri
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  3. T Tsuji
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  4. T Shimoda
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  5. K Amano
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Correspondence to S Sasaki.

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Sasaki, S., Katagiri, A., Tsuji, T. et al. Self-reported rate of eating correlates with body mass index in 18-y-old Japanese women. Int J Obes 27, 1405–1410 (2003). https://doi.org/10.1038/sj.ijo.0802425

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  • DOI: https://doi.org/10.1038/sj.ijo.0802425

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