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Predictive Equations for the Estimation of Basal Metabolic Rate in Malaysian adults.

Ismail M.N., and Ng, K.K., and Chee, S.S., and Roslee R., and Zawiah H., (1998) Predictive Equations for the Estimation of Basal Metabolic Rate in Malaysian adults. Malaysian Journal of Nutrition, 4 (1 & 2). pp. 81-90. ISSN 1394-035X

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Official URL: http://nutriweb.org.my/publications/mjn004/mjn4n12_006.pdf

Affiliations

Universiti Kebangsaan Malaysia, Faculty of Allied Health Sciences, Dept. of Nutrition and Dietetics["lib/metafield:join_corp_creators" not defined]Kelloggs Asia Marketing Kuala Lumpur Malaysia["lib/metafield:join_corp_creators" not defined]Nestle Products Sdn. Bhd

Abstract

In the field of human energy expenditure, the measurement of basal metabolic rate (BMR) is an essential element to derive energy requirement estimates for any given population. Besides basic anthropometrics data, this paper reports the generation of predictive equation for basal metabolic rates of healthy Malaysian adult from prospective measurements on 307 male and 349 females aged 18-60 years, using the Douglas bag technique. These new equations based on body-weight reveal that the current FAO/WHO/UNU (1985) predictive equations overestimate BMR of adult Malaysian by an average of 13% in males and 9% in female subjects while differences of between 4-5% were observed when compared to Henry & Rees (1991) equations for tropical people. There is a good reason to believe that the capacity to slow down metabolism amidst the hot and humid climate experience throughout the year as a genuine phenomenon for Malaysians. Similarly, these findings suggest that at equal energy intake recommendation for similar body weight, the lower energy needs of Malaysian could put them at greater risk for developing obesity. These observed deviations must be taken into account in formulating energy requirements of the population.

Item Type:Journal
Additional Information:This note was added by the search_and_modify.pl script.
Keywords:Basal Metabolic Rate (BMR), Malaysian Adults, BMR Estimation
Subjects:R Medicine, Dentistry, Pharmacy, Nursing
ID Code:2912

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