静息能量消耗估算公式对养老机构老年人群的适用性评价

Applicability evaluation of resting energy expenditure estimation equations for elderly people in pension institution

  • 摘要:
    目的 基于养老机构老年人群, 比较9种常见静息能量消耗估算公式估算值与实测值的一致性。
    方法 通过整群抽样选取河南光大欧安乐龄养老中心老年人181例为研究对象,比较常见的9种公式估算值与间接测热法获得的实测值的差异,并通过亚组分析比较其在不同亚群中的一致性。
    结果 9种公式中, Cunningham公式和Owen公式的估算值与实测值偏差相对较小,差异无统计学意义(差异率分别为-1.9%和-2.0%, 均方根误差为222.7 kcal/d和239.4 kcal/d, 吻合比例为48.4%和47.5%)。在不同性别和体质量指数(BMI)的亚组中, Cunningham公式与实测值比较无显著差异, Owen公式仅部分亚组(男性BMI为20~ < 27 kg/m2和≥27 kg/m2以及女性BMI < 20 kg/m2)与实测值无显著差异。
    结论 Cunningham公式利用人体成分检测数据, 可较为准确、快捷地对养老机构老年人静息能量消耗进行评估,适用性较强。

     

    Abstract:
    Objective To compare the consistency between the estimated values of nine common resting energy expenditure estimation equations and the measured values among the elderly population in pension institutions.
    Methods A total of 181 elderly individuals from Henan Guangda Ouan Leling Nursing Center were recruited as study objects through cluster sampling. The differences between the estimated values of nine common equations and the measured values obtained by indirect calorimetry were compared, and subgroup analyses were conducted to compare their consistency across different subgroups.
    Results Among the nine equations, the Cunningham equation and the Owen equation showed relatively small deviations from the measured values, with no significant differences (deviation rates of -1.9% and -2.0%, root mean square errors of 222.7 kcal/d and 239.4 kcal/d, and coincidence rates of 48.4% and 47.5%, respectively). In subgroups stratified by gender and body mass index (BMI), the Cunningham equation showed no significant difference compared with the measured values. The Owen equation showed no significant difference compared with the measured values only in some subgroups males with BMI of 20~ < 27 kg/m2 and ≥27 kg/m2, and females with BMI < 20 kg/m2.
    Conclusion The Cunningham equation, which utilizes body composition data, can assess the resting energy expenditure of the elderly in pension institutions with relatively high accuracy and speed, demonstrating strong applicability in this population.

     

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