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Predictors of Water Turnover in Older Adults: A Doubly Labeled Water- and Triaxial Accelerometer-Based Study.
Kim, Hyeon-Ki; Sagayama, Hiroyuki; Yoshida, Tsukasa; Oishi, Kan; Nakayama, Yui; Kimura, Misaka; Ono, Rei; Yamada, Yosuke.
Afiliación
  • Kim HK; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
  • Sagayama H; Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan.
  • Yoshida T; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
  • Oishi K; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan; Graduate School of Health and Sports Science, Doshisha University, Kyoto, Japan; Japan Society for the Promotion of Sciences, Tokyo, Japan.
  • Nakayama Y; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
  • Kimura M; Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
  • Ono R; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
  • Yamada Y; National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan. Electronic address: yamaday@nibiohn.go.jp.
J Nutr ; 154(6): 1750-1757, 2024 06.
Article en En | MEDLINE | ID: mdl-38649093
ABSTRACT

BACKGROUND:

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.

OBJECTIVES:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

Our results confirmed that age, sex, weight, FFM, TEE, and PAL are the potential predictors of WT in older Japanese adults aged ≥65 y.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Composición Corporal / Agua Corporal / Ejercicio Físico / Acelerometría Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: J Nutr Año: 2024 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Composición Corporal / Agua Corporal / Ejercicio Físico / Acelerometría Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: J Nutr Año: 2024 Tipo del documento: Article País de afiliación: Japón