Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T06:05:54.269Z Has data issue: false hasContentIssue false

Underreporting of energy intake among Japanese women aged 18–20 years and its association with reported nutrient and food group intakes

Published online by Cambridge University Press:  02 January 2007

Hitomi Okubo
Affiliation:
National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8636, Japan
Satoshi Sasaki*
Affiliation:
National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8636, Japan
*
*Corresponding author: Email stssasak@nih.go.jp
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objectives:

To evaluate the ratio of energy intake to basal metabolic rate (EI/BMR) among young female Japanese adults, and to compare the lifestyle and dietary characteristics between relatively low and high reporters.

Design:

Dietary intakes were assessed over a 1-month period with a validated, self-administered, diet history questionnaire, and lifestyle variables were assessed by a second questionnaire designed for this survey. The ratio of EI/BMR was calculated from reported energy intake and estimated basal metabolic rate.

Subjects:

In total, 1889 female Japanese university students aged 18–20 years who were enrolled in dietetics courses.

Results:

Ninety-five per cent of the subjects were classified into a non-obese group (body mass index (BMI) <25 kg m−2; mean±standard deviation (SD): 20.8±2.6 kg m−2). EI/BMR was 1.43±0.40 (mean±SD). Sixty-eight per cent of the subjects showed an EI/BMR level below the possibly balanced value of 1.56, 37% showed EI/BMR below the minimum survival value of 1.27 and 2% of the subjects showed EI/BMR exceeding the maximum value for a sustainable lifestyle of 2.4. BMI, body weight and BMR decreased significantly with the increase in EI/BMR (P<0.001). The percentage of energy from carbohydrate was significantly higher, whereas those from fat and protein were significantly lower, among the lower EI/BMR groups. As for food groups, a significantly declining trend from the lowest to the highest EI/BMR groups was observed for cereals.

Conclusion:

Underreporting, rather than overreporting, of energy intake was predominant in this relatively lean Japanese female population. BMI was the most important factor affecting the reporting accuracy of energy intake.

Type
Research Article
Copyright
Copyright © The Authors 2004

References

1Barrett-Connor, E. Nutrition epidemiology: how do we know what they ate? American Journal of Clinical Nutrition 1991; 54(Suppl. 1) 182S–7S.CrossRefGoogle ScholarPubMed
2Black, AE, Cole, TJ. Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. Journal of the American Dietetic Association 2001; 101: 7080.CrossRefGoogle ScholarPubMed
3Livingstone, MB, Black, AE. Markers of the validity of reported energy intake. Journal of Nutrition 2003; 133(Suppl. 3) 895S–920S.CrossRefGoogle ScholarPubMed
4Schoeller, DA. Recent advances from application of doubly labeled water to measurement of human energy expenditure. Journal of Nutrition 1999; 129: 1765–8.CrossRefGoogle ScholarPubMed
5Schoeller, DA. Validation of habitual energy intake. Public Health Nutrition 2002; 5(6A); 883–8.CrossRefGoogle ScholarPubMed
6Black, AE, Coward, WA, Cole, TJ, Prentice, AM. Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition 1996; 50: 7292.Google ScholarPubMed
7Hill, RJ, Davies, PS. The validity of self-reported energy intake as determined using the doubly labelled water technique. British Journal of Nutrition 2001; 85: 415–30.CrossRefGoogle ScholarPubMed
8Trabulsi, J, Schoeller, DA. Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. American Journal of Physiology. Endocrinology and Metabolism 2001; 281(5): E891–9.CrossRefGoogle Scholar
9Goldberg, GR, Black, AE, Jebb, SA, Cole, TJ, Murgatroyd, PR, Coward, WA, et al. Critical evaluation of energy intake data using fundamental principles of energy physiology. 1. Derivation of cut-off values to identify under-recording. European Journal of Clinical Nutrition 1991; 45: 569–81.Google Scholar
10Black, AE, Goldberg, GR, Jebb, SA, Livingstone, MBE, Cole, TJ, Prentice, AM. Critical evaluation of energy intake data using fundamental principals of energy physiology: 2. Evaluating the results of published surveys. European Journal of Clinical Nutrition 1991; 45: 583–99.Google Scholar
11Fogelholm, M, Männisto, S, Vartiainen, E, Pietinen, P. Determinants of energy balance and overweight in Finland 1982 and 1992. International Journal of Obesity and Related Metabolic Disorders 1996; 20: 1097–104.Google ScholarPubMed
12Price, GM, Paul, AA, Cole, TJ, Wadsworth, MEJ. Characteristics of the low-energy reporters in a longitudinal national dietary survey. British Journal of Nutrition 1997; 77: 833–51.CrossRefGoogle Scholar
13Voss, 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 Journal of Clinical Nutrition 1998; 52: 119–26.CrossRefGoogle ScholarPubMed
14McGowan, MJ, Harrington, KE, Kiely, M, Robson, PJ, Livingstone, MBE, Gibney, MJ. An evaluation of energy intakes and the ratio of energy intake to estimated basal metabolic rate (EI/BMR est) in the North/South Ireland Food Consumption Survey. Public Health Nutrition 2001; 4(5A): 1043–50.CrossRefGoogle ScholarPubMed
15Briefel, RR, Sempos, CT, McDowell, MA, Chien, S, Alaimo, K. Dietary methods research in the third National Health and Nutrition Examination Survey: under-reporting of energy intake. American Journal of Clinical Nutrition 1997; 65: S1203–9.CrossRefGoogle Scholar
16Heywood, P, Harvey, PJW, Marks, GC. An evaluation of energy intake in the 1983 Australian National Dietary Survey of Adults. European Journal of Clinical Nutrition 1993; 47: 604–6.Google Scholar
17Winkvist, A, Persson, V, Hartini, TNS. Underreporting of energy intake is less common among pregnant women in Indonesia. Public Health Nutrition 2002; 5(4): 523–9.CrossRefGoogle ScholarPubMed
18Sasaki, 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. Journal of Epidemiology 1998; 8: 203–15.CrossRefGoogle ScholarPubMed
19Sasaki, S, Ushio, F, Amano, K, Morihara, M, Todoriki, O, Uehara, Y, et al. Serum biomarker-based validation of a self-administered diet history questionnaire for Japanese subjects. Journal of Nutritional Science and Vitaminology 2000; 46(6): 285–96.CrossRefGoogle ScholarPubMed
20Science and Technology Agency. Standard Tables of Food Composition in Japan, 4th revised ed. Tokyo: Printing Bureau, Ministry of Finance, 1982 [in Japanese].Google Scholar
21Matsuzawa, Y, Inoue, S, Ikeda, Y, Sakata, T, Saito, Y, Sato, Y, et al. The judgment criteria for new overweight, and the diagnostic standard for obesity. Obesity Research 2000; 6: 1828 [in Japanese].Google Scholar
22Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU). Energy and Protein Requirements. Report of a Joint FAO/ WHO/UNU Expert Consultation. Technical Report Series No. 724. Geneva: WHO, 1985.Google Scholar
23Ministry of Health and Welfare. Recommended Dietary Allowance for Japanese: Dietary Reference Intakes. 6th revised ed. Tokyo: Ministry of Health and Welfare, 1999 [in Japanese].Google Scholar
24Braam, LA, Ocke, MC, Bueno-de-Mesquita, HB, Seidell, JC. Determinants of obesity-related underreporting of energy intake. American Journal of Epidemiology 1998; 147(11): 1081–6.CrossRefGoogle ScholarPubMed
25Ferrari, P, Slimani, N, Ciampi, A, Trichopoulou, A, Naska, A, Lauria, C, et al. 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 Nutrition 2002; 5(6B): 1329–45.CrossRefGoogle ScholarPubMed
26Matthys, C, De Henauw, S, Devos, C, De Backer, G. Estimated energy intake, macronutrient intake and meal pattern of Flemish adolescents. European Journal of Clinical Nutrition 2003; 57(2): 366–75.CrossRefGoogle ScholarPubMed
27Johansson, L, Solvoll, K, Bjørneboe, G-EA, Drevon, CA. Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. American Journal of Clinical Nutrition 1998; 68: 266–74.CrossRefGoogle ScholarPubMed
28Black, AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1119–30.CrossRefGoogle Scholar
29Yamamura, C, Kashiwazaki, H. Factors affecting the post-absorptive resting metabolic rate of Japanese subjects: reanalysis based on published data. Japanese Journal of Nutrition 2002; 60(2): 7583 [in Japanese].Google Scholar
30Rovira, RF, Pons, IF, Martinez, MI, Sanchez, RR. Self-reported versus measured height, weight and body mass index in Spanish Mediterranean teenagers: effects of gender, age and weight on perceptual measures of body image. Annals of Nutrition & Metabolism 2002; 46: 6872.CrossRefGoogle Scholar
31Goodman, E, Hinden, BR, Khandelwal, S. Accuracy of teen and parental reports of obesity and body mass index. Pediatrics 2000; 106: 52–8.CrossRefGoogle ScholarPubMed
32Kuczmarski, 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. Journal of the American Dietetic Association 2001; 101: 2834.CrossRefGoogle ScholarPubMed
33Sasaki, 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. International Journal of Obesity and Related Metabolic Disorders 2003; 27: 1405–10.CrossRefGoogle ScholarPubMed
34Asbeck, I, Mast, M, Bierwag, A, Westenhöfer, J, Acheson, KJ, Müller, MJ. Severe underreporting of energy intake in normal weight subjects: use of an appropriate standard and relation to restrained eating. Public Health Nutrition 2002; 5(5): 683–90.CrossRefGoogle ScholarPubMed
35Kant, AK. Interaction of body mass index and attempt to lose weight in a national sample of US adults: association with reported food and nutrient intake, and biomarkers. European Journal of Clinical Nutrition 2003; 57(2): 249–59.CrossRefGoogle Scholar
36Burns, C, Jackson, M, Gibbons, C, Stoney, RM. Foods prepared, outside the home: association with selected nutrients and body mass index in adult Australians. Public Health Nutrition 2002; 5(3): 441–8.CrossRefGoogle ScholarPubMed
37Berteus Forslund, H, Lindroos, AK, Sjostrom, L, Lissner, L. Meal patterns and obesity in Swedish women – a simple instrument describing usual meal types, frequency and temporal distribution. European Journal of Clinical Nutrition 2002; 56(8): 740–7.CrossRefGoogle ScholarPubMed
38Hebert, JR, Clemow, L, Pbert, L, Ockene, IS, Ockene, JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. International Journal of Epidemiology 1995; 24: 389–98.CrossRefGoogle ScholarPubMed
39Ministry of Health and Welfare. Kokumin Eiyou no Genjou [Annual Report of the National Nutrition Survey in 1998]. Tokyo: Ministry of Health and Welfare, 2000; 45–6 [in Japanese].Google Scholar
40Schoenborn, CA, Adams, PF, Barnes, PM. Body weight status of adults: United States, 1997–98. Advance Data 2002; 6(330): 115.Google Scholar