Ji-Sook Park; Jung-Eun Yim

doi:10.5720/kjcn.2018.23.5.424

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Research Article
Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women: Ji-Sook Park, Jung-Eun Yim; Korean Journal of Community Nutrition 2018;23(5):424-430.
DOI: https://doi.org/10.5720/kjcn.2018.23.5.424
Published online: October 31, 2018

¹Department of Food & Nutrition, Changwon National University, Changwon, Korea, Student.

²Department of Food & Nutrition, Changwon National University, Changwon, Korea, Professor.

Corresponding author: Jung-Eun Yim, Ph.D. Department of Food and Nutrition, Changwon National University, Changwon 51140, Korea. Tel: (055) 213-3517, Fax: (055) 281-7480, jeyim@changwon.ac.kr

• Received: August 6, 2018 • Revised: September 11, 2018 • Accepted: September 11, 2018

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
Acknowledgments
Acknowledgments
REFERENCES

Abstract

Objectives
The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea.
Methods
The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI.
Results
Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight).
Conclusions
These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Keywords: overweight; obese; resting energy expenditure

Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No.2013R1A1A3010917).

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Fig. 1

Correlation coefficient between Age and Value of difference of Indirect Calorimetry method and Harris-Benedict formula method

Table 1

The Anthropometric variables in overweight Korean women subjects

Table 2

Resting Energy Expenditure in overweight Korean women subjects

Values are Mean ± SD

Abbreviation: WH, Weight Height

1) Resting energy expenditure

2) [(predicted RMR − measured RMR) / measured RMR] × 100

3) Percentage of subjects predicted by formula within 90% to 110% of measured REE

4) Percentage of subjects predicted by formula < 90% of measured REE

5) Percentage of subjects predicted by formula > 110% of measured REE

6) Koreans Dietary Reference Intakes

Table 3

Correlation coefficient between Resting Energy Expenditure and Anthropometric measurements

Figure & Data

REFERENCES

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Resting energy expenditure in Korean type 2 diabetes patients: comparison between measured and predicted values
Ji-Sook Park, Sung-Rae Cho, Jung-Eun Yim
Nutrition Research and Practice.2023; 17(3): 464. CrossRef

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Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women

Korean J Community Nutr. 2018;23(5):424-430. Published online October 31, 2018

DOI: https://doi.org/10.5720/kjcn.2018.23.5.424

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Figure

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Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women

Fig. 1 Correlation coefficient between Age and Value of difference of Indirect Calorimetry method and Harris-Benedict formula method

Fig. 1

Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women

Table 1

The Anthropometric variables in overweight Korean women subjects

Table 2

Resting Energy Expenditure in overweight Korean women subjects

Values are Mean ± SD

Abbreviation: WH, Weight Height

1) Resting energy expenditure

2) [(predicted RMR − measured RMR) / measured RMR] × 100

3) Percentage of subjects predicted by formula within 90% to 110% of measured REE

4) Percentage of subjects predicted by formula < 90% of measured REE

5) Percentage of subjects predicted by formula > 110% of measured REE

6) Koreans Dietary Reference Intakes

Table 3

Correlation coefficient between Resting Energy Expenditure and Anthropometric measurements

Table 1 The Anthropometric variables in overweight Korean women subjects

Table 2 Resting Energy Expenditure in overweight Korean women subjects

Values are Mean ± SD

Abbreviation: WH, Weight Height

1) Resting energy expenditure

2) [(predicted RMR − measured RMR) / measured RMR] × 100

3) Percentage of subjects predicted by formula within 90% to 110% of measured REE

4) Percentage of subjects predicted by formula < 90% of measured REE

5) Percentage of subjects predicted by formula > 110% of measured REE

6) Koreans Dietary Reference Intakes

Table 3 Correlation coefficient between Resting Energy Expenditure and Anthropometric measurements