National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.
J Nutr. 2024 Jun;154(6):1750-1757. doi: 10.1016/j.tjnut.2024.04.023. Epub 2024 Apr 20.
Water is one of the most essential nutrients for life. The water turnover (WT), total body water (TBW), and total energy expenditure (TEE) can be measured using the doubly labeled water (DLW) method. WT and TBW are lower in older adults than in young adults, and the former are susceptible to dehydration, necessitating to identify predictors of the WT in older adults.
The current study aimed to examine the association between WT and physical activity, physical function, and body composition in Japanese adults aged ≥65 y and identify predictors for WT in this population.
This study enrolled 133 older adults (women, n = 61; men, n = 72) aged 65-88 y. WT, TBW, TEE, fat-free mass (FFM), and percent body fat (%Fat) were determined using the DLW method. The fitness age score (FAS) was obtained from 5 physical fitness tests. Physical activity and the step count were assessed using a previously validated triaxial accelerometer. Multiple regression analyses were performed with WT as the dependent variable.
WT was positively associated with weight, physical activity level (PAL), moderate-vigorous physical activity, and TEE, and negatively associated with sedentary behavior. We examined potential predictors for WT using age, sex, height, weight, FFM, %Fat, TEE, PAL, and FAS in older Japanese adults.
Our results confirmed that age, sex, weight, FFM, TEE, and PAL are the potential predictors of WT in older Japanese adults aged ≥65 y.
水是生命最基本的营养素之一。水周转率(WT)、总体水(TBW)和总能量消耗(TEE)可以使用双标记水(DLW)法进行测量。老年人的 WT 和 TBW 低于年轻人,前者容易脱水,因此需要确定老年人 WT 的预测因素。
本研究旨在探讨日本≥65 岁成年人 WT 与体力活动、身体功能和身体成分之间的关系,并确定该人群 WT 的预测因素。
本研究纳入了 133 名年龄在 65-88 岁的老年人(女性 n=61,男性 n=72)。WT、TBW、TEE、去脂体重(FFM)和体脂肪百分比(%Fat)采用 DLW 法测定。使用 5 项体能测试获得体能年龄评分(FAS)。体力活动和步数使用经过验证的三轴加速度计进行评估。WT 作为因变量进行多元回归分析。
WT 与体重、体力活动水平(PAL)、中高强度体力活动和 TEE 呈正相关,与久坐行为呈负相关。我们使用年龄、性别、身高、体重、FFM、%Fat、TEE、PAL 和 FAS 检查了日本老年成年人 WT 的潜在预测因素。
我们的研究结果证实,年龄、性别、体重、FFM、TEE 和 PAL 是日本≥65 岁老年人 WT 的潜在预测因素。