Literature DB >> 12778890

Validation of three alternative methods to measure total energy expenditure against the doubly labeled water method for older Japanese men.

Hoby Hasina Rafamantanantsoa1, Naoyuki Ebine, Mayumi Yoshioka, Hiroyuki Higuchi, Yutaka Yoshitake, Hiroaki Tanaka, Shinichi Saitoh, Peter John Harris Jones.   

Abstract

In a previous study using young Japanese men as subjects, Ebine et al. found that accelerometer (AC) represents a promising technique for measuring free-living total energy expenditure (TEE) when compared to activity records (AR) and heart rate monitoring (HR). Thus, the present study was designed to validate the use of an AC and to determine whether or not the previous findings regarding the three alternative field methods (AC, AR, and HR) could be extended to older Japanese men (n = 24; mean +/- SD age 48 +/- 10 y, body mass index 23.1 +/- 2.7 kg/m2 and body fat 18.7 +/- 4.8%). TEE values obtained over a 3 d period by AR, HR, and AC (3dAC), and AC over a 14 d period (14dAC) were simultaneously validated against TEE measured by the doubly labeled water (DLW) method applied within a 14 d period. TEE values obtained by AR, HR, 3dAC, and 14dAC ranged from 1,750 to 3,447 kcal/d, 1,691 to 5,286 kcal/d, 1,716 to 2,765 kcal/d, and 1,700 to 2,855 kcal/d, respectively. Expenditures obtained by HR were similar to those obtained using the DLW method, with a mean difference of 57 +/- 603 kcal/d (2%), but those obtained using AR, 3dAC, and 14dAC differed substantially from the DLW method, with mean differences of -335 +/- 289 kcal/d (12%), -542 +/- 249kcal/d (-19%), and -566 +/- 223kcal/d (-20%), respectively. AR, HR, 3dAC, and 14dAC were significantly correlated with the DLW method, with r values of 0.76 (p < 0.0001), 0.67 (p < 0.001), 0.78 (p < 0.0001), and 0.83 (p < 0.0001), respectively. Intra-individual variation indicated by the coefficient of variation (CV) was significantly higher for HR (15 +/- 11%, p < 0.001) than for AR (7 +/- 4%), 3dAC (7 +/- 5%), and 14dAC (8 +/- 31%). The same findings were obtained using Bland and Altman plots at the population level. Interestingly, 3dAC and 14dAC were significantly correlated with r = 0.97 (p < 0.0001), with a lower mean difference of 24 kcal/d. These results suggest that, same as the previous study, AC is superior to HR in estimating TEE, and seems to be satisfactory for estimation at both group and individual levels, particularly for large-scale studies of older individuals when compared to the DLW method. However, some modifications of the AC method may be needed to compensate for the underestimation of TEE.

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Year:  2002        PMID: 12778890     DOI: 10.3177/jnsv.48.517

Source DB:  PubMed          Journal:  J Nutr Sci Vitaminol (Tokyo)        ISSN: 0301-4800            Impact factor:   2.000


  17 in total

1.  Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers.

Authors:  Yosuke Yamada; Keiichi Yokoyama; Risa Noriyasu; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Yoshihiko Naito; Taketoshi Morimoto; Misaka Kimura; Shingo Oda
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

2.  Association between lifestyle and physical activity level in the elderly: a study using doubly labeled water and simplified physical activity record.

Authors:  Yosuke Yamada; Risa Noriyasu; Keiichi Yokoyama; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Taketoshi Morimoto; Shingo Oda; Misaka Kimura
Journal:  Eur J Appl Physiol       Date:  2013-06-26       Impact factor: 3.078

3.  The importance of daily physical activity for improved exercise tolerance in heart failure patients with limited access to centre-based cardiac rehabilitation.

Authors:  Noriaki Sato; Hideki Origuchi; Umpei Yamamoto; Yasuhiro Takanaga; Masahiro Mohri
Journal:  Exp Clin Cardiol       Date:  2012-09

4.  Comparative validity of physical activity measures in older adults.

Authors:  Lisa H Colbert; Charles E Matthews; Thomas C Havighurst; Kyungmann Kim; Dale A Schoeller
Journal:  Med Sci Sports Exerc       Date:  2011-05       Impact factor: 5.411

5.  Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies.

Authors:  Lara R Dugas; Regina Harders; Sarah Merrill; Kara Ebersole; David A Shoham; Elaine C Rush; Felix K Assah; Terrence Forrester; Ramon A Durazo-Arvizu; Amy Luke
Journal:  Am J Clin Nutr       Date:  2010-12-15       Impact factor: 7.045

6.  Steps per day: the road to senior health?

Authors:  Yukitoshi Aoyagi; Roy J Shephard
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

7.  Physical activity and physical function in older adults with knee osteoarthritis.

Authors:  Elizabeth Chmelo; Barbara Nicklas; Cralen Davis; Gary D Miller; Claudine Legault; Stephen Messier
Journal:  J Phys Act Health       Date:  2012-10-09

Review 8.  Validity of activity monitors in health and chronic disease: a systematic review.

Authors:  Hans Van Remoortel; Santiago Giavedoni; Yogini Raste; Chris Burtin; Zafeiris Louvaris; Elena Gimeno-Santos; Daniel Langer; Alastair Glendenning; Nicholas S Hopkinson; Ioannis Vogiatzis; Barry T Peterson; Frederick Wilson; Bridget Mann; Roberto Rabinovich; Milo A Puhan; Thierry Troosters
Journal:  Int J Behav Nutr Phys Act       Date:  2012-07-09       Impact factor: 6.457

9.  The usefulness of an accelerometer for monitoring total energy expenditure and its clinical application for predicting body weight changes in type 2 diabetic korean women.

Authors:  Ji Yeon Jung; Kyung Ah Han; Hwi Ryun Kwon; Hee Jung Ahn; Jae Hyuk Lee; Kang Seo Park; Kyung Wan Min
Journal:  Korean Diabetes J       Date:  2010-12-31

10.  A community-wide campaign to promote physical activity in middle-aged and elderly people: a cluster randomized controlled trial.

Authors:  Masamitsu Kamada; Jun Kitayuguchi; Shigeru Inoue; Yoshiki Ishikawa; Hiromu Nishiuchi; Shimpei Okada; Kazuhiro Harada; Hiroharu Kamioka; Kuninori Shiwaku
Journal:  Int J Behav Nutr Phys Act       Date:  2013-04-09       Impact factor: 6.457

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