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首页> 外文期刊>Medicine and science in sports and exercise >Sources of variance in daily physical activity levels as measured by an accelerometer.
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Sources of variance in daily physical activity levels as measured by an accelerometer.

机译：用加速度计测量的日常体育活动水平的差异来源。

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PURPOSE: To examine sources of variance in objective measures of physical activity in a group of healthy adults (N = 92) participating in a physical activity measurement study. METHODS: Physical activity was assessed for up to 21 consecutive days using the Computer Science Applications (CSA) accelerometer. Day-of-the-week effects were evaluated for activity counts (ct.min(-1).d(-1), ct.d(-1)) and time (min.d(-1)) spent in inactivity (0-499 ct), moderate-1 (500-1951 ct), and moderate-2-vigorous activity (> or =1952 ct). Random effects models were employed to estimate variance components for subject, day of the week, and residual error from which the number of days of assessment required to achieve 80% reliability were estimated. RESULTS: Physical inactivity was lower on weekend days, and Saturday was the least inactive day of the week for both men and women. Inter-individual variation, or differences between subjects, was proportionally the largest source of variance (55-60% of total) in accelerometer counts and time spent in moderate to vigorous activity. Differences within subjects (intra-individual variation) accounted for 30-45% of the overall variance, and day-of-the-week effects accounted for 1-8%. For activity counts, and time spent in moderate to vigorous activity, at least 3-4 d of monitoring were required to achieve 80% reliability. Reliable measures of physical inactivity required at least 7 d of monitoring. CONCLUSION: These findings provide insight for understanding the behavioral variability in the activity patterns of adults and suggest that reliable measures of activity behaviors require at least 7 d of monitoring.
机译：目的：检查参加体育锻炼测量研究的一组健康成年人（N = 92）的体育锻炼客观度量的方差来源。方法：使用计算机科学应用程序（CSA）加速度计连续21天评估了体育活动。评估一天中的不活动时间的影响，包括不活动的活动计数（ct.min（-1）.d（-1），ct.d（-1））和时间（min.d（-1）） （0-499克拉），中度1（500-1951克拉）和中度2剧烈活动（>或= 1952克拉）。采用随机效应模型估计受试者，一周中的某天以及剩余误差的方差分量，从而从中估计达到80％可靠性所需的评估天数。结果：周末运动量较少，而星期六是男性和女性一周中最少运动的日子。个人之间的差异或受试者之间的差异是加速度计计数和中度至剧烈运动所花费的时间的最大方差来源（占总数的55-60％）。受试者之间的差异（个体内部差异）占总体差异的30％至45％，而周日效应占1-8％。对于活动计数以及花费在中度至剧烈活动中的时间，至少需要3-4 d的监视时间才能达到80％的可靠性。可靠的身体活动量度至少需要监测7 d。结论：这些发现为理解成年人活动模式中的行为变异提供了见识，并表明对活动行为的可靠测量至少需要监测7 d。

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