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Akita Nutrition Junior College

EducationAkita, Japan
About: Akita Nutrition Junior College is a education organization based out in Akita, Japan. It is known for research contribution in the topics: Resting energy expenditure & Long-term care. The organization has 2 authors who have published 3 publications receiving 25 citations. The organization is also known as: Akita Junior College.

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Journal ArticleDOI
TL;DR: absolute REE increased and REE adjusted for BW or FFM decreased with age, and the major determinant of REE was FFM, but significant gender differences were observed in the 12-17 y range for both absolute and adjusted REE.
Abstract: Accurate estimation of resting energy expenditure (REE) in children and adolescents is important to establish estimated energy requirements for the Japanese population. Our objectives were 1) to determine the REE of 6- to 17-y-old Japanese children and adolescents by indirect calorimetry in order to estimate energy expenditure for this group, 2) to compare measured REE with predicted REE to determine the accuracy of predictive equations of REE for Japanese children and adolescents, and 3) to derive new predictive equations for REE for Japanese children and adolescents based on measured REE. REE was measured in 221 Japanese children and adolescents, aged 6 to 17 y old (113 boys and 108 girls) using a ventilated indirect calorimeter. Anthropometric and body composition measurements were also performed. REE expressed as absolute values increased with age in both genders, and there was a significant difference between genders in the 12-17 y age group. REE was strongly correlated with body weight (BW) and fat-free mass (FFM). REE adjusted for BW or FFM decreased with age in both genders, and a gender difference was still observed in the 12-17 y age group after this adjustment. The highest accuracy of prediction was achieved using the Dietary Reference Intake for Japanese (1969) for boys and the Molnar equation for girls. Step-down multiple regression analysis was carried out using either a combination of age, gender, BW, and height, or a combination of age, gender, FFM, and fat mass (FM). The predictive equation accounted for 75% (R2) and 76% of the variance, respectively. In conclusion, absolute REE increased and REE adjusted for BW or FFM decreased with age. The major determinant of REE was FFM, but significant gender differences were observed in the 12-17 y range for both absolute REE and adjusted REE.

16 citations

Journal ArticleDOI
TL;DR: While accelerometry estimated TEE accurately, it did not provide the precise measurement of PAEE and PAL and the error in accelerometry was attributed to the prediction error of RMR and assessment in exercise.
Abstract: The present study compared the accuracy of triaxial accelerometry and the doubly labelled water (DLW) method for measuring physical activity (PA) in Japanese adolescents. A total of sixty adolescents aged 12-15 years were analysed. The total energy expenditure (TEE) was measured over 7 d by the DLW method and with an EW4800P triaxial accelerometer (Panasonic Corporation). The measured (RMR)(m) and predicted RMR (RMR(p)) were 5·7 (SD 0·9) and 6·0 (SD 1·0) MJ/d, respectively. TEE measured by the DLW method and accelerometry using RMR(m) or RMR(p) were 11·0 (SD 2·6), 10·3 (SD 1·9), and 10·7 (SD 2·1) MJ/d, respectively. The PA levels (PAL) measured by the DLW method using RMR(m) or RMR(p) were 1·97 (SD 0·31) and 1·94 (SD 0·31) in subjects who exercised, and 1·85 (SD 0·27) and 1·74 (SD 0·29) in subjects who did not exercise. The percentage of body fat correlated significantly with the percentage difference between RMR(m) v. RMR(p), TEE, PA energy expenditure (PAEE) and PAL using RMR(p), and PAL using RMR(m) assessed by the DLW method and accelerometry. The present data showed that while accelerometry estimated TEE accurately, it did not provide the precise measurement of PAEE and PAL. The error in accelerometry was attributed to the prediction error of RMR and assessment in exercise.

13 citations


Authors

Showing all 2 results

NameH-indexPapersCitations
Chinatsu Ito2428
Madoka Chida111
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20191
20132