Department of Human Biology, Zoological Institute, Christian-Albrechts-University, Kiel, Germany.
J Nutr Health Aging. 2011 Dec;15(10):803-8. doi: 10.1007/s12603-011-0072-y.
To evaluate predictors of resting energy expenditure (REE) in older people which are more comfortable for them than indirect calorimetry and which are suitable for field studies.
Cross-sectional study.
Department of Human Biology, Kiel University.
100 (51 males, 49 females) healthy independently-living normal-weight (BMI, males 26.0±2.67 kg/m², females 25.0±3.29 kg/m²) Germans, aged 60-83 years.
REE, body composition, anthropometry, peak expiratory flow rate (PEF), and physical activity level were determined using indirect calorimetry, bioimpedance analysis, anthropometrics, peak-flow-meter, and standardized questionnaire, respectively. Stepwise linear multiple regression analysis was performed with REE or weight adjusted REE as dependent variables. Independent variables were body height, weight, body mass index (BMI), waist circumference, abdomen circumference, hip circumference, waist-to-hip ratio (WHR), lean body mass (LBM), PEF, and physical activity level.
The only significant predictor of REE was LBM in males and BMI in females. Trunk circumferences emerged as strong predictors of weight adjusted REE. Abdomen circumference and hip circumference explained in males and females 69% and 70% of variation in adjusted REE, respectively. Weaker predictors were LBM in males (R² increased from 0.69 to 0.80) as well as body height and BMI in females (R² increased from 0.70 to 0.91). Waist circumference, WHR, physical activity level, and PEF were no significant determinants of adjusted REE.
These findings demonstrate that trunk circumferences, but not WHR, are very strong predictors of weight adjusted REE in non-geriatric older people. This implies that the sex-specific use of abdomen or hip circumference in combination with LBM or body height and BMI seems to be well sufficient to predict weight adjusted REE in the aged. These measures might also be of clinical relevance, because they are more comfortable for older sick people than indirect calorimetry. Further studies are needed to test the applicability of the prediction equations to frail older populations.
评估老年人静息能量消耗（REE）的预测因子，这些预测因子比间接测热法更舒适，并且适用于现场研究。
横断面研究。
基尔大学人类生物学系。
100 名（51 名男性，49 名女性）健康、独立生活、正常体重（BMI，男性 26.0±2.67kg/m²，女性 25.0±3.29kg/m²）的德国人，年龄 60-83 岁。
使用间接测热法、生物电阻抗分析、人体测量学、呼气峰流速（PEF）和标准化问卷分别确定 REE、身体成分、人体测量学、PEF 和身体活动水平。使用逐步线性多元回归分析，将 REE 或体重调整后的 REE 作为因变量。自变量为身高、体重、体重指数（BMI）、腰围、腹围、臀围、腰臀比（WHR）、瘦体重（LBM）、PEF 和身体活动水平。
REE 的唯一显著预测因子是男性的 LBM 和女性的 BMI。躯干围度是体重调整后 REE 的强预测因子。男性和女性的腹围和臀围分别解释了调整后 REE 的 69%和 70%的变异。较弱的预测因子是男性的 LBM（R²从 0.69 增加到 0.80）以及女性的身高和 BMI（R²从 0.70 增加到 0.91）。腰围、WHR、身体活动水平和 PEF 不是调整后 REE 的显著决定因素。
这些发现表明，躯干围度，而不是 WHR，是老年非老年人群体重调整后 REE 的非常强的预测因子。这意味着，在老年人中，使用特定性别的腹围或臀围，结合 LBM 或身高和 BMI，似乎足以预测体重调整后的 REE。这些措施可能也具有临床意义，因为它们比间接测热法更舒适，适用于老年病人。需要进一步的研究来测试预测方程在虚弱的老年人群中的适用性。
