Journal List > Korean J Community Nutr > v.23(5) > 1107171

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

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.

Figures and Tables

Fig. 1

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

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Table 1

The Anthropometric variables in overweight Korean women subjects

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Table 2

Resting Energy Expenditure in overweight Korean women subjects

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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

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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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Jung-Eun Yim
https://orcid.org/0000-0001-8344-1386

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