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加速度计输出和常见身体活动的代谢当量值。

Accelerometer output and MET values of common physical activities.

机构信息

Department of Kinesiology, University of Massachusetts, 30 Eastman Lane, Amherst, MA 01003, USA.

出版信息

Med Sci Sports Exerc. 2010 Sep;42(9):1776-84. doi: 10.1249/MSS.0b013e3181d479f2.

Abstract

PURPOSE

This article 1) provides the calibration procedures and methods for metabolic and activity monitor data collection, 2) compares measured MET values to the MET values from the compendium of physical activities, and 3) examines the relationship between accelerometer output and METs for a range of physical activities.

METHODS

Participants (N = 277) completed 11 activities for 7 min each from a menu of 23 physical activities. Oxygen consumption (V O2) was measured using a portable metabolic system, and an accelerometer was worn. MET values were defined as measured METs (V O2/measured resting metabolic rate) and standard METs (V O2/3.5 mL.kg.min). For the total sample and by subgroup (age [young < 40 yr], sex, and body mass index [normal weight < 25 kg.m]), measured METs and standard METs were compared with the compendium, using 95% confidence intervals to determine statistical significance (alpha = 0.05). Average counts per minute for each activity and the linear association between counts per minute and METs are presented.

RESULTS

Compendium METs were different than measured METs for 17/21 activities (81%). The number of activities different than the compendium was similar between subgroups or when standard METs were used. The average counts for the activities ranged from 11 counts per minute (dishes) to 7490 counts per minute (treadmill: 2.23 m.s, 3%). The r between counts and METs was 0.65.

CONCLUSIONS

This study provides valuable information about data collection, metabolic responses, and accelerometer output for common physical activities in a diverse participant sample. The compendium should be updated with additional empirical data, and linear regression models are inappropriate for accurately predicting METs from accelerometer output.

摘要

目的

本文 1)提供代谢和活动监测数据收集的校准程序和方法,2)比较测量的代谢当量值与活动综合手册中的代谢当量值,3)检查一系列活动中加速度计输出与代谢当量之间的关系。

方法

参与者(N=277)从 23 项活动菜单中完成了 11 项每项 7 分钟的活动。使用便携式代谢系统测量耗氧量(V O2),并佩戴加速度计。代谢当量值定义为实测代谢当量(V O2/实测静息代谢率)和标准代谢当量(V O2/3.5 mL.kg.min)。对于整个样本和亚组(年龄[年轻<40 岁]、性别和体重指数[正常体重<25 kg.m]),使用 95%置信区间比较实测代谢当量和标准代谢当量与活动综合手册,以确定统计显著性(α=0.05)。为每个活动呈现每分钟平均计数和每分钟计数与代谢当量之间的线性关联。

结果

21 项活动中有 17 项(81%)活动的综合手册代谢当量与实测代谢当量不同。亚组之间或使用标准代谢当量时,与综合手册不同的活动数量相似。活动的平均计数范围从每分钟 11 次计数(洗碗)到每分钟 7490 次计数(跑步机:2.23 m.s,3%)。计数与代谢当量之间的 r 值为 0.65。

结论

本研究为在多样化参与者样本中常见体力活动的数据收集、代谢反应和加速度计输出提供了有价值的信息。活动综合手册应使用更多经验数据进行更新,线性回归模型不适用于准确预测加速度计输出的代谢当量。

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