Literature DB >> 24847670

Validation of prediction equations for resting energy expenditure in Singaporean Chinese men.

Tammy Song, Kavita Venkataraman, Peter Gluckman, Chong Yap Seng, Khoo Chin Meng, Eric Yin Hao Khoo, Melvin Khee Shing Leow, Lee Yung Seng, Tai E Shyong.   

Abstract

Accurate prediction of resting energy expenditure (REE) is important in establishing adequate dietary intake goals for effective weight management. Previous studies have shown that the validity of an energy prediction equation may depend on the ethnicity of the population. Validation studies are lacking in the Singaporean Chinese population. A total of 96 healthy Singaporean Chinese males of age 21–40 years and body mass index (BMI) 18.5–30.0 kg/m2 participated in this study. REE was measured by indirect calorimetry and compared with REE predicted using existing equations. Validity was evaluated on the basis of mean bias and percentage of subjects predicted within ±10% of REE measured. In addition, Bland and Altman analyses were performed. No significant difference was observed between the mean levels of measured and predicted REE derived from the Owen equation. The Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU), Harris–Benedict and Mifflin equations significantly overestimated the mean measured REE by 7.5%, 6.0% and 2.4% respectively. Percentage of valid predictions for FAO/WHO/UNU, Harris–Benedict, Mifflin and Owen equations were 60%, 67%, 75% and 73% respectively. Bland and Altman analyses demonstrated poor agreement for all equations. The Owen equation provided a valid estimation of REE in Singaporean Chinese men at a group level. However, the individual errors of the equations were unacceptable high and may have limited utility in making clinical decisions on nutritional requirements.
© 2014 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24847670     DOI: 10.1016/j.orcp.2013.05.002

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  5 in total

1.  Smaller size of high metabolic rate organs explains lower resting energy expenditure in Asian-Indian Than Chinese men.

Authors:  L L T Song; K Venkataraman; P Gluckman; Y S Chong; M-W L Chee; C M Khoo; M-Ks Leow; Y S Lee; E S Tai; E Y H Khoo
Journal:  Int J Obes (Lond)       Date:  2015-11-16       Impact factor: 5.095

2.  Predicting resting energy expenditure in young adults.

Authors:  Erik A Willis; Stephen D Herrmann; Lauren T Ptomey; Jeffery J Honas; Christopher T Bessmer; Joseph E Donnelly; Richard A Washburn
Journal:  Obes Res Clin Pract       Date:  2015-07-22       Impact factor: 2.288

3.  Estimation of basal metabolic rate in Chinese: are the current prediction equations applicable?

Authors:  Stefan G Camps; Nan Xin Wang; Wei Shuan Kimberly Tan; C Jeyakumar Henry
Journal:  Nutr J       Date:  2016-08-31       Impact factor: 3.271

4.  Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults.

Authors:  Jingjing Xue; Shuo Li; Yong Zhang; Ping Hong
Journal:  Int J Environ Res Public Health       Date:  2019-08-01       Impact factor: 3.390

5.  The Relationship between Macronutrient Distribution and Type 2 Diabetes in Asian Indians.

Authors:  Amisha Pandya; Mira Mehta; Kavitha Sankavaram
Journal:  Nutrients       Date:  2021-12-09       Impact factor: 5.717

  5 in total

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