Measurement and prediction of METs during household activities in 35-to 45-year-old females
Measurement and prediction of METs during household activities in 35-to 45-year-old females
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DOI：
10.1007/s00421-003-1018-9
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发表时间：
2004-05-01
影响因子：
3
通讯作者：
Cormack, J
中科院分区：
文献类型：
--
作者：
Brooks, AG;Withers, RT;Cormack, J
这项研究确定了在受试者家中和标准化实验室环境中进行的四项自定进度的家务任务是否以中等强度[3-6个代谢当量（MET）]在3 - 6名35至45岁女性的代表性样本中进行。还通过间接方法预测了能量消耗。使用道格拉斯袋技术测量了清扫、擦窗、吸尘和割草过程中的自定步调能量消耗。心率、呼吸频率、计算机科学应用（CSA）运动计数（髋关节和腕关节）、博格主观用力评分和克托莱指数也被记录为能量消耗的潜在预测因子。虽然这四种活动在家庭和实验室中均以大于或等于3.0 MET的平均强度进行，但这两种环境之间的所有比较都具有统计学显著性（P < 0.001）。家庭和实验室预测方程的95%置信区间（CI）分别为+/- 1.1 MET和+/- 1.0 MET。这些数据表明，上述家务劳动可以促进30分钟-天（-1）的中等强度活动，以提供健康益处。然而，受试者之间能量消耗的显著差异导致一些人在光强度（< 3.0 MET）下执行这些任务。家庭和实验室之间的显着MET差异强调了环境和地形的影响，以及对自我调节能量消耗的“心理方法”。考虑到5种活性的平均值范围为3.1 MET至6.0 MET，回归方程的95% CI缺乏预测精度。
This study determined whether four self-paced household tasks, conducted in the subjects' homes and a standardised laboratory environment, were performed at a moderate intensity [3-6 metabolic equivalents (METs)] in a representative sample of thirty-six 35- to 45-year-old females. Energy expenditure was also predicted via indirect methods. Self-paced energy expenditure during sweeping, window cleaning, vacuuming and mowing was measured using the Douglas bag technique. Heart rate, respiratory frequency, Computer Science Applications (CSA) movement counts (hip and wrist), Borg rating of perceived exertion and Quetelet's index were also recorded as potential predictors of energy expenditure. While the four activities were performed at mean intensities greater than or equal to3.0 METs in both the home and laboratory, all comparisons between these two environments were statistically significant (P < 0.001). The 95% confidence intervals (CIs) for the home and laboratory prediction equations were +/- 1.1 METs and +/- 1.0 MET, respectively. These data suggest that the aforementioned household chores can contribute to the 30 min-day(-1) of moderate-intensity activity required to confer health benefits. However, the substantial between-subject variability in energy expenditure resulted in some persons performing these tasks at a light intensity ( < 3.0 METs). The significant MET differences between the home and laboratory emphasise the effects of environment and terrain' and the 'mental approach to a task' on self-paced energy expenditure. Considering the means for the five activities ranged from 3.1 METs to 6.0 METs, the 95% CIs for the regression equations lack predictive precision.