### Abstract

Introduction: The basal metabolic rate (BMR) is essential in deriving estimates of energy requirements for a population. The aim of this study was to measure the BMR in order to derive a predictive equation for the Malaysian Armed Forces (MAF) naval trainees. Methods: A total of 79 naval trainees aged 18 to 25 years from a training centre (Group A) and on board a ship (Group B) participated in the study. Anthropometric measurements included height and weight. Body fat and free fat mass were measured using the bioelectrical impedance analysis method. BMR was measured by indirect calorimetry with a canopy system. Results: The mean height, weight and body fat for Group A was 1.67 +/-0.04 m, 61.0 +/-3.9 kg and 12.7 percent +/-2.5 percent, respectively, and 1.67 +/-0.05 m, 62.3 +/-6.2 kg and 14.0 percent +/-3.5 percent, respectively, for Group B. The mean BMR for Group A (6.28 +/-0.40 MJ/day) did not differ signifcantly (p is more than 0.05) from that of Group B (6.16 +/-0.67 MJ/ day). The Food and Agriculture Organization/ World Health Organization/United Nations University and the Henry and Rees equations overestimated the measured BMR by 9 percent (p is less than 0.001) and 0.5 percent (p is more than 0.05), respectively, while the Ismail et al equation underestimated the measured BMR by 5.6 percent (p is less than 0.001). A predictive equation, BMR = 3.316 + 0.047 (weight in kg) expressed in MJ/day with weight as the only independent variable, was derived using regression analysis. Conclusion: We recommend that this predictive equation be used to estimate the energy requirements of MAF naval trainees.

Original language | English |
---|---|

Pages (from-to) | 635-640 |

Number of pages | 6 |

Journal | Singapore Medical Journal |

Volume | 51 |

Issue number | 8 |

Publication status | Published - Aug 2010 |

### Fingerprint

### Keywords

- Armed forces
- Basal metabolic rate
- Energy requirement
- Indirect calorimetry
- Predictive equation

### ASJC Scopus subject areas

- Medicine(all)

### Cite this

*Singapore Medical Journal*,

*51*(8), 635-640.

**Predictive equation for estimating the basal metabolic rate of Malaysian Armed Forces naval trainees.** / Sedek, Razalee; Poh, Bee Koon; Ismail, M. N.

Research output: Contribution to journal › Article

*Singapore Medical Journal*, vol. 51, no. 8, pp. 635-640.

}

TY - JOUR

T1 - Predictive equation for estimating the basal metabolic rate of Malaysian Armed Forces naval trainees

AU - Sedek, Razalee

AU - Poh, Bee Koon

AU - Ismail, M. N.

PY - 2010/8

Y1 - 2010/8

N2 - Introduction: The basal metabolic rate (BMR) is essential in deriving estimates of energy requirements for a population. The aim of this study was to measure the BMR in order to derive a predictive equation for the Malaysian Armed Forces (MAF) naval trainees. Methods: A total of 79 naval trainees aged 18 to 25 years from a training centre (Group A) and on board a ship (Group B) participated in the study. Anthropometric measurements included height and weight. Body fat and free fat mass were measured using the bioelectrical impedance analysis method. BMR was measured by indirect calorimetry with a canopy system. Results: The mean height, weight and body fat for Group A was 1.67 +/-0.04 m, 61.0 +/-3.9 kg and 12.7 percent +/-2.5 percent, respectively, and 1.67 +/-0.05 m, 62.3 +/-6.2 kg and 14.0 percent +/-3.5 percent, respectively, for Group B. The mean BMR for Group A (6.28 +/-0.40 MJ/day) did not differ signifcantly (p is more than 0.05) from that of Group B (6.16 +/-0.67 MJ/ day). The Food and Agriculture Organization/ World Health Organization/United Nations University and the Henry and Rees equations overestimated the measured BMR by 9 percent (p is less than 0.001) and 0.5 percent (p is more than 0.05), respectively, while the Ismail et al equation underestimated the measured BMR by 5.6 percent (p is less than 0.001). A predictive equation, BMR = 3.316 + 0.047 (weight in kg) expressed in MJ/day with weight as the only independent variable, was derived using regression analysis. Conclusion: We recommend that this predictive equation be used to estimate the energy requirements of MAF naval trainees.

AB - Introduction: The basal metabolic rate (BMR) is essential in deriving estimates of energy requirements for a population. The aim of this study was to measure the BMR in order to derive a predictive equation for the Malaysian Armed Forces (MAF) naval trainees. Methods: A total of 79 naval trainees aged 18 to 25 years from a training centre (Group A) and on board a ship (Group B) participated in the study. Anthropometric measurements included height and weight. Body fat and free fat mass were measured using the bioelectrical impedance analysis method. BMR was measured by indirect calorimetry with a canopy system. Results: The mean height, weight and body fat for Group A was 1.67 +/-0.04 m, 61.0 +/-3.9 kg and 12.7 percent +/-2.5 percent, respectively, and 1.67 +/-0.05 m, 62.3 +/-6.2 kg and 14.0 percent +/-3.5 percent, respectively, for Group B. The mean BMR for Group A (6.28 +/-0.40 MJ/day) did not differ signifcantly (p is more than 0.05) from that of Group B (6.16 +/-0.67 MJ/ day). The Food and Agriculture Organization/ World Health Organization/United Nations University and the Henry and Rees equations overestimated the measured BMR by 9 percent (p is less than 0.001) and 0.5 percent (p is more than 0.05), respectively, while the Ismail et al equation underestimated the measured BMR by 5.6 percent (p is less than 0.001). A predictive equation, BMR = 3.316 + 0.047 (weight in kg) expressed in MJ/day with weight as the only independent variable, was derived using regression analysis. Conclusion: We recommend that this predictive equation be used to estimate the energy requirements of MAF naval trainees.

KW - Armed forces

KW - Basal metabolic rate

KW - Energy requirement

KW - Indirect calorimetry

KW - Predictive equation

UR - http://www.scopus.com/inward/record.url?scp=77957654492&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957654492&partnerID=8YFLogxK

M3 - Article

VL - 51

SP - 635

EP - 640

JO - Singapore Medical Journal

JF - Singapore Medical Journal

SN - 0037-5675

IS - 8

ER -