AJCN Tufts Nutrition Symposium, Boston & Online Sept 2009
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Goris, A. H.
Right arrow Articles by Westerterp, K. R
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Goris, A. H.
Right arrow Articles by Westerterp, K. R
Agricola
Right arrow Articles by Goris, A. H.
Right arrow Articles by Westerterp, K. R
American Journal of Clinical Nutrition, Vol. 73, No. 3, 549-553, March 2001
© 2001 American Society for Clinical Nutrition


Original Research Communication

Use of a triaxial accelerometer to validate reported food intakes1,2

Annelies HC Goris, Erwin P Meijer, Arnold Kester and Klaas R Westerterp

1 From the Departments of Human Biology and Methodology and Statistics, Maastricht University, Maastricht, Netherlands.

Background: An easy and cheap method for validating reported energy intake (EI) is needed.

Objective: Reported EI was compared with calculated energy expenditure (EEcalc) and with energy expenditure measured by the doubly labeled water method (EEDLW).

Design: EE was calculated on the basis of basal metabolic rate (BMR) measured with the ventilated-hood technique and physical activity (PA) measured with a triaxial accelerometer (EEVH+PA) and on the basis of BMR estimated by using World Health Organization equations and PA (EEWHO+PA): EEcalc = -1.259 + 1.55 x BMR + 0.076 x counts/min (r2 = 0.90, P = 0.0001). Subjects [n = 12 men and 12 women aged 60 ± 3 y; body mass index (in kg/m2): 26 ± 4] reported their food intakes for 7 d and EEDLW, EEVH+PA, and EEWHO+PA were assessed over the same 7 d.

Results: Reported EI (9.0 ± 2.1 MJ/d) was lower (P < 0.0001) than were EEDLW (11.3 ± 2.3 MJ/d), EEVH+PA (10.8 ± 1.7 MJ/d), and EEWHO+PA (10.8 ± 1.8 MJ/d). Underreporting was 19.4 ± 14.0%, 16.7 ± 13.6%, and 16.4 ± 15.5% on the basis of EEDLW, EEVH+PA, and EEWHO+PA, respectively. The difference of 2.7 ± 8.0% between EEDLW and EEVH+PA was not related to the average of both percentages and was not significantly different from zero. The percentage of underreporting calculated with EEWHO+PA was not significantly different from that calculated with EEDLW.

Conclusions: The use of a combination of BMR (measured or estimated) and PA is a good method for validating reported EI. There was no significant difference between the percentage of underreporting calculated with EEVH+PA, EEWHO+PA, or EEDLW.

Key Words: Energy intake • energy expenditure • triaxial accelerometer • doubly labeled water • basal metabolic rate • physical activity • elderly • underreporting • underrecording




This article has been cited by other articles:


Home page
Am. J. Clin. Nutr.Home page
R. Hursel and M. S Westerterp-Plantenga
Green tea catechin plus caffeine supplementation to a high-protein diet has no additional effect on body weight maintenance after weight loss
Am. J. Clinical Nutrition, March 1, 2009; 89(3): 822 - 830.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
K. Duval, I. Strychar, M.-J. Cyr, D. Prud'homme, R. Rabasa-Lhoret, and E. Doucet
Physical activity is a confounding factor of the relation between eating frequency and body composition
Am. J. Clinical Nutrition, November 1, 2008; 88(5): 1200 - 1205.
[Abstract] [Full Text] [PDF]


Home page
Arch DermatolHome page
M. M. Heinen, C. van der Vleuten, M. J. M. de Rooij, C. J. T. Uden, A. W. M. Evers, and T. van Achterberg
Physical Activity and Adherence to Compression Therapy in Patients With Venous Leg Ulcers
Arch Dermatol, October 1, 2007; 143(10): 1283 - 1288.
[Abstract] [Full Text] [PDF]


Home page
Eur Respir JHome page
F. Pitta, T. Troosters, V. S. Probst, M. A. Spruit, M. Decramer, and R. Gosselink
Quantifying physical activity in daily life with questionnaires and motion sensors in COPD.
Eur. Respir. J., May 1, 2006; 27(5): 1040 - 1055.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
A. M. Joosen, M. Gielen, R. Vlietinck, and K. R Westerterp
Genetic analysis of physical activity in twins
Am. J. Clinical Nutrition, December 1, 2005; 82(6): 1253 - 1259.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
W. T. Donahoo, D. H. Bessesen, D. R. Higbee, S. Lei, G. K. Grunwald, and J. A. Higgins
Serum Lithium Concentration Can Be Used to Assess Dietary Compliance in Adults1
J. Nutr., November 1, 2004; 134(11): 3133 - 3136.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
M. A van Baak, E. van Mil, A. V Astrup, N. Finer, L. F Van Gaal, J. Hilsted, P. G Kopelman, S. Rossner, W P. James, and W. H. Saris
Leisure-time activity is an important determinant of long-term weight maintenance after weight loss in the Sibutramine Trial on Obesity Reduction and Maintenance (STORM trial)
Am. J. Clinical Nutrition, August 1, 2003; 78(2): 209 - 214.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2001 by The American Society for Nutrition