Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan 3780000, Chile.
Auxology, Bioanthropology, and Ontogeny Research Group (GABO), Faculty of Health and Food Sciences, Universidad del Bío-Bío, Chillan 3780000, Chile.
Nutrients. 2022 Aug 4;14(15):3199. doi: 10.3390/nu14153199.
Resting metabolic rate (RMR) depends on body fat-free mass (FFM) and fat mass (FM), whereas abdominal fat distribution is an aspect that has yet to be adequately studied. The objective of the present study was to analyze the influence of waist circumference (WC) in predicting RMR and propose a specific estimation equation for older Chilean women. This is an analytical cross-sectional study with a sample of 45 women between the ages of 60 and 85 years. Weight, height, body mass index (BMI), and WC were evaluated. RMR was measured by indirect calorimetry (IC) and %FM using the Siri equation. Adequacy (90% to 110%), overestimation (>110%), and underestimation (<90%) of the FAO/WHO/UNU, Harris−Benedict, Mifflin-St Jeor, and Carrasco equations, as well as those of the proposed equation, were evaluated in relation to RMR as measured by IC. Normal distribution was determined according to the Shapiro−Wilk test. The relationship of body composition and WC with RMR IC was analyzed by multiple linear regression analysis. The RMR IC was 1083.6 ± 171.9 kcal/day, which was significantly and positively correlated with FFM, body weight, WC, and FM and inversely correlated with age (p < 0.001). Among the investigated equations, our proposed equation showed the best adequacy and lowest overestimation. The predictive formulae that consider WC improve RMR prediction, thus preventing overestimation in older women.
静息代谢率（RMR）取决于无脂肪体重（FFM）和脂肪量（FM），而腹部脂肪分布是一个尚未充分研究的方面。本研究的目的是分析腰围（WC）对 RMR 的预测影响，并为智利老年女性提出特定的估计方程。这是一项分析性横断面研究，样本为 45 名年龄在 60 至 85 岁之间的女性。评估了体重、身高、体重指数（BMI）和 WC。通过间接热量法（IC）和 Siri 方程测量 RMR 和 %FM。使用 FAO/WHO/UNU、Harris−Benedict、Mifflin-St Jeor 和 Carrasco 方程以及提出的方程，评估了它们对 IC 测量的 RMR 的准确性（90%至 110%）、高估（>110%）和低估（<90%）。根据 Shapiro−Wilk 检验确定正态分布。通过多元线性回归分析，分析了身体成分和 WC 与 RMR IC 的关系。IC 测量的 RMR 为 1083.6 ± 171.9 kcal/天，与 FFM、体重、WC 和 FM 呈显著正相关，与年龄呈负相关（p < 0.001）。在所研究的方程中，我们提出的方程显示出最好的准确性和最低的高估。考虑 WC 的预测公式可改善 RMR 预测，从而防止老年女性的高估。
