Validity of resting energy expenditure predictive equations before and after an energy-restricted diet intervention in obese women.
<h4>Background</h4>We investigated the validity of REE predictive equations before and after 12-week energy-restricted diet intervention in Spanish obese (30 kg/m(2)>BMI<40 kg/m(2)) women.<h4>Methods</h4>We measured REE (indirect calorimetry), body weight, height, and f...
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Autores principales: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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Public Library of Science (PLoS)
2011
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Acceso en línea: | https://doaj.org/article/5d972f2ab62f409db39c02e9e6dd9192 |
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Sumario: | <h4>Background</h4>We investigated the validity of REE predictive equations before and after 12-week energy-restricted diet intervention in Spanish obese (30 kg/m(2)>BMI<40 kg/m(2)) women.<h4>Methods</h4>We measured REE (indirect calorimetry), body weight, height, and fat mass (FM) and fat free mass (FFM, dual X-ray absorptiometry) in 86 obese Caucasian premenopausal women aged 36.7±7.2 y, before and after (n = 78 women) the intervention. We investigated the accuracy of ten REE predictive equations using weight, height, age, FFM and FM.<h4>Results</h4>At baseline, the most accurate equation was the Mifflin et al. (Am J Clin Nutr 1990; 51: 241-247) when using weight (bias:-0.2%, P = 0.982), 74% of accurate predictions. This level of accuracy was not reached after the diet intervention (24% accurate prediction). After the intervention, the lowest bias was found with the Owen et al. (Am J Clin Nutr 1986; 44: 1-19) equation when using weight (bias:-1.7%, P = 0.044), 81% accurate prediction, yet it provided 53% accurate predictions at baseline.<h4>Conclusions</h4>There is a wide variation in the accuracy of REE predictive equations before and after weight loss in non-morbid obese women. The results acquire especial relevance in the context of the challenging weight regain phenomenon for the overweight/obese population. |
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