Suppr超能文献

日本受试者睡眠代谢率的个体间差异。

Interindividual variability in sleeping metabolic rate in Japanese subjects.

作者信息

Ganpule A A, Tanaka S, Ishikawa-Takata K, Tabata I

机构信息

Health Promotion and Exercise Program, National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, Japan.

出版信息

Eur J Clin Nutr. 2007 Nov;61(11):1256-61. doi: 10.1038/sj.ejcn.1602645. Epub 2007 Feb 7.

Abstract

INTRODUCTION

Basal metabolic rate (BMR) or sleeping metabolic rate (SMR) is the largest component of total energy expenditure (EE). An accurate prediction of BMR or SMR is needed to accurately predict total EE or physical activity EE for each individual. However, large variability in BMR and SMR has been reported.

OBJECTIVES

This study was designed to develop prediction equations using body size measurements for the estimation of both SMR and BMR and to compare the prediction errors with those in previous reports.

METHODS

We measured body size, height, weight and body composition (fat mass and fat-free mass) from skinfold thickness in adult Japanese men (n=71) and women (n=66). SMR was determined as the sum of EE during 8 h of sleep (SMR-8h) and minimum EE during 3 consecutive hours of sleep (SMR-3h) measured using two open-circuit indirect human calorimeters. BMR was determined using a human calorimeter or a mask and Douglas bag.

RESULTS

The study population ranged widely in age. The SMR/BMR ratio was 1.01+/-0.09 (range 0.82-1.42) for SMR-8h and 0.94+/-0.07 (range 0.77-1.23) for SMR-3h. The prediction equations for SMR accounted for a 3-5% larger variance with 2-3% smaller standard error of estimate (SEE) than the prediction equations for BMR.

DISCUSSION

SMR can be predicted more accurately than previously reported, which indicates that SMR interindividual variability is smaller than expected, at least for Japanese subjects. The prediction equations for SMR are preferable to those for BMR because the former exhibits a smaller prediction error than the latter.

摘要

引言

基础代谢率(BMR)或睡眠代谢率(SMR)是总能量消耗(EE)的最大组成部分。准确预测BMR或SMR对于准确预测每个人的总EE或身体活动EE是必要的。然而,已有报道称BMR和SMR存在很大变异性。

目的

本研究旨在利用身体尺寸测量值开发预测方程,以估算SMR和BMR,并将预测误差与先前报道的进行比较。

方法

我们测量了成年日本男性(n = 71)和女性(n = 66)的身体尺寸、身高、体重和身体成分(脂肪量和去脂体重),通过皮褶厚度进行测量。使用两台开路间接人体热量计测量睡眠8小时期间的EE总和(SMR - 8h)以及连续3小时睡眠期间的最低EE(SMR - 3h)来确定SMR。使用人体热量计或面罩和道格拉斯袋来确定BMR。

结果

研究人群年龄范围广泛。SMR - 8h的SMR/BMR比值为1.01±0.09(范围0.82 - 1.42),SMR - 3h的为0.94±0.07(范围0.77 - 1.23)。与BMR的预测方程相比,SMR的预测方程解释的方差大3 - 5%,估计标准误差(SEE)小2 - 3%。

讨论

SMR的预测比先前报道的更准确,这表明至少对于日本受试者,SMR的个体间变异性比预期的小。SMR的预测方程比BMR的更可取,因为前者的预测误差比后者小。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验