开发和验证老年人总能耗和体力活动水平的特定年龄预测方程
Judi Porter1, Leigh C Ward2, Kay Nguo3
1Institute of Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia.
The American journal of clinical nutrition
|March 19, 2024
概括
使用简单的测量方法,新的方程可以准确地预测老年人的总能耗 (TEE). 这些发现改善了对老龄化人口的能源需求估计.
科学领域:
- 老年学是一门学科.
- 营养科学 营养科学
- 人体生理学 人体生理学
背景情况:
- 目前对老年人的能源需求预测通常依赖于从年轻人群中推断出的数据,导致不准确.
- 对于老年人来说,需要特定的预测方程,这些方程可以利用随时可用的人类测量方法.
研究的目的:
- 开发和验证65岁及以上成年人总能耗 (TEE) 的新预测方程.
- 用间接热量计和预测方程生成和测试新的体力活动水平 (PAL) 值.
主要方法:
- 利用来自1657名老年人 (65-90岁) 的TEE数据来得出PAL值.
- 采用非线性回归来创建TEE预测方程,通过双重交叉验证和离开一个方法进行验证.
- 将新方程的性能与现有预测模型进行比较.
主要成果:
- 开发了新的TEE预测方程,包括年龄,体重,身高和休息代谢率 (RMR).
- 方程显示,仅使用人体测量数据,预测性表现适度 (±30%),在活动类别中改善到±20%,在RMR纳入中改善到±10%.
- 与现有方法相比,新的方程在群体层面上显示出更好的准确性和可重复性.
结论:
- 使用简单人体测量数据的新TEE预测方程对于老年人来说是准确的和可重现的.
- 个人身体活动水平 (PAL) 的个体变化仍然是影响个体水平预测准确性的重要因素.
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