### Abstract

Objective: To examine the accuracy of present resting energy expenditure (REE) predictive equations among obese adult Taiwanese, and obtain new predictive equations for this population. Method: A total of 80 participants (men = 42, women = 38) aged 18-64 years (mean 41.5 ± 13.1 years) with body mass index (BMI) ≥30 kg/m ^{2} were recruited from obesity clinic of a tertiary hospital. Anthropometric data including weight, height, waist circumference (WC), hip circumference (HipC) were collected. Body fat and fat free mass (FFM) were measured using bioelectric impedance analysis. Indirect calorimeter (Vmax 29n) was used for measurement of REE. The commonly used predictive equations (Harris-Benedict equation, Bernstein equation, Mifflin equation, Owen equation, Schofield equation, Cunningham equation, Wang equation, and Liu equation) were tested for group means and individual prediction accuracy for our target population. New predictive equations were formulated using multiple linear regression analyses. Result: The mean BMI was 34.3 ± 4.6 kg/m ^{2}. All of the commonly used predictive equations showed statistically significant differences with the measured REE values. As for individual prediction accuracy, these predictive equations showed poor performance and only Mifflin equation provided an individual accuracy over 40%. The new predictive equation recommended for obese adult Taiwanese is below: REE (kcal/d) = 11.6 × weight (kg) - 204.84 × gender - 4.8 × height (cm) + 1594.6 (gender: men = 1; women = 2). Conclusion: The previous commonly used predictive equations were less accurate in obese Taiwanese. For this specific population, the newly developed equation should be applied for better prediction of REE.

Original language | English (US) |
---|---|

Journal | Obesity Research and Clinical Practice |

Volume | 5 |

Issue number | 4 |

DOIs | |

State | Published - Oct 1 2011 |

### Fingerprint

### Keywords

- Indirect calorimeter
- Predictive equation
- Resting energy expenditure

### ASJC Scopus subject areas

- Endocrinology, Diabetes and Metabolism
- Nutrition and Dietetics

### Cite this

*Obesity Research and Clinical Practice*,

*5*(4). https://doi.org/10.1016/j.orcp.2011.03.009

**Predictive equation of resting energy expenditure in obese adult Taiwanese.** / Tseng, Chung Kang; Hsu, Hua-Shai; Ho, Chih-Te; Huang, Hui Ying; Liu, Chiu Shong; Lin, Cheng-Chieh; Lin, Wen-Yuan.

Research output: Contribution to journal › Article

*Obesity Research and Clinical Practice*, vol. 5, no. 4. https://doi.org/10.1016/j.orcp.2011.03.009

}

TY - JOUR

T1 - Predictive equation of resting energy expenditure in obese adult Taiwanese

AU - Tseng, Chung Kang

AU - Hsu, Hua-Shai

AU - Ho, Chih-Te

AU - Huang, Hui Ying

AU - Liu, Chiu Shong

AU - Lin, Cheng-Chieh

AU - Lin, Wen-Yuan

PY - 2011/10/1

Y1 - 2011/10/1

N2 - Objective: To examine the accuracy of present resting energy expenditure (REE) predictive equations among obese adult Taiwanese, and obtain new predictive equations for this population. Method: A total of 80 participants (men = 42, women = 38) aged 18-64 years (mean 41.5 ± 13.1 years) with body mass index (BMI) ≥30 kg/m 2 were recruited from obesity clinic of a tertiary hospital. Anthropometric data including weight, height, waist circumference (WC), hip circumference (HipC) were collected. Body fat and fat free mass (FFM) were measured using bioelectric impedance analysis. Indirect calorimeter (Vmax 29n) was used for measurement of REE. The commonly used predictive equations (Harris-Benedict equation, Bernstein equation, Mifflin equation, Owen equation, Schofield equation, Cunningham equation, Wang equation, and Liu equation) were tested for group means and individual prediction accuracy for our target population. New predictive equations were formulated using multiple linear regression analyses. Result: The mean BMI was 34.3 ± 4.6 kg/m 2. All of the commonly used predictive equations showed statistically significant differences with the measured REE values. As for individual prediction accuracy, these predictive equations showed poor performance and only Mifflin equation provided an individual accuracy over 40%. The new predictive equation recommended for obese adult Taiwanese is below: REE (kcal/d) = 11.6 × weight (kg) - 204.84 × gender - 4.8 × height (cm) + 1594.6 (gender: men = 1; women = 2). Conclusion: The previous commonly used predictive equations were less accurate in obese Taiwanese. For this specific population, the newly developed equation should be applied for better prediction of REE.

AB - Objective: To examine the accuracy of present resting energy expenditure (REE) predictive equations among obese adult Taiwanese, and obtain new predictive equations for this population. Method: A total of 80 participants (men = 42, women = 38) aged 18-64 years (mean 41.5 ± 13.1 years) with body mass index (BMI) ≥30 kg/m 2 were recruited from obesity clinic of a tertiary hospital. Anthropometric data including weight, height, waist circumference (WC), hip circumference (HipC) were collected. Body fat and fat free mass (FFM) were measured using bioelectric impedance analysis. Indirect calorimeter (Vmax 29n) was used for measurement of REE. The commonly used predictive equations (Harris-Benedict equation, Bernstein equation, Mifflin equation, Owen equation, Schofield equation, Cunningham equation, Wang equation, and Liu equation) were tested for group means and individual prediction accuracy for our target population. New predictive equations were formulated using multiple linear regression analyses. Result: The mean BMI was 34.3 ± 4.6 kg/m 2. All of the commonly used predictive equations showed statistically significant differences with the measured REE values. As for individual prediction accuracy, these predictive equations showed poor performance and only Mifflin equation provided an individual accuracy over 40%. The new predictive equation recommended for obese adult Taiwanese is below: REE (kcal/d) = 11.6 × weight (kg) - 204.84 × gender - 4.8 × height (cm) + 1594.6 (gender: men = 1; women = 2). Conclusion: The previous commonly used predictive equations were less accurate in obese Taiwanese. For this specific population, the newly developed equation should be applied for better prediction of REE.

KW - Indirect calorimeter

KW - Predictive equation

KW - Resting energy expenditure

UR - http://www.scopus.com/inward/record.url?scp=80054826147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054826147&partnerID=8YFLogxK

U2 - 10.1016/j.orcp.2011.03.009

DO - 10.1016/j.orcp.2011.03.009

M3 - Article

AN - SCOPUS:80054826147

VL - 5

JO - Obesity Research and Clinical Practice

JF - Obesity Research and Clinical Practice

SN - 1871-403X

IS - 4

ER -