How many days of monitoring predict physical activity and sedentary behaviour in older adults?
How many days of monitoring predict physical activity and sedentary behaviour in older adults?
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DOI：
10.1186/1479-5868-8-62
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发表时间：
2011-06-16
影响因子：
8.7
通讯作者：
Strath, Scott J.
中科院分区：
文献类型：
--
作者：
Hart, Teresa L.;Swartz, Ann M.;Strath, Scott J.
背景：可靠地评估身体活动（PA）所需的计步器或加速度计数据的天数对于检查与健康关系的研究很重要。虽然这项重要的研究已经在年轻人到中年人中完成，但在老年人中缺乏数据。此外，确定自我报告PA数据天数的数据也是无效的。本研究的目的是通过计步器、加速度计和老年人的身体活动日志（PA log）数据，研究预测习惯性PA和久坐行为所需的天数。方法：参与者（52名老年男性和女性，年龄= 69.3 +/- 7.4岁，范围= 55-86岁）佩戴Yamax Digiwalker SW-200计步器和ActiGraph 7164加速计，同时连续21天完成PA日志。每个仪器的平均差异和一周中天数之间的强度采用单独的重复测量方差分析进行两两比较。基于类内相关性的Spearman-Brown预言公式。80年,。85年,。90和。95个被用来预测佩戴加速度计或计步器的天数，或PA日志的每日记录，以代表总PA、轻度PA、中度至剧烈PA和久坐行为。结果：本研究结果表明，需要3天的加速度计数据、4天的计步器数据或4天完成的PA日志才能准确预测老年人的PA水平。当检查在特定强度的PA上花费的时间时，ActiGraph需要更少的数据来准确预测在该活动上花费的时间，但PA日志需要更多的数据。要准确预测每天平均坐着的时间，需要5天的ActiGraph数据。结论：准确估计老年人每日PA所需的客观（计步器和ActiGraph）和主观（PA log）数据的天数相对一致。尽管计步器和ActiGraph的总PA在天之间没有统计学差异，但天之间差异的大小表明，在涉及这些仪器的< 7天监测方案的PA研究的设计和分析中，不能完全忽略一周中的哪一天。需要更多天的加速度计数据来确定典型的久坐行为，而不是老年人的PA水平。
Background: The number of days of pedometer or accelerometer data needed to reliably assess physical activity (PA) is important for research that examines the relationship with health. While this important research has been completed in young to middle-aged adults, data is lacking in older adults. Further, data determining the number of days of self-reports PA data is also void. The purpose of this study was to examine the number of days needed to predict habitual PA and sedentary behaviour across pedometer, accelerometer, and physical activity log (PA log) data in older adults.Methods: Participants (52 older men and women; age = 69.3 +/- 7.4 years, range= 55-86 years) wore a Yamax Digiwalker SW-200 pedometer and an ActiGraph 7164 accelerometer while completing a PA log for 21 consecutive days. Mean differences each instrument and intensity between days of the week were examined using separate repeated measures analysis of variance for with pairwise comparisons. Spearman-Brown Prophecy Formulae based on Intraclass Correlations of .80, .85, .90 and .95 were used to predict the number of days of accelerometer or pedometer wear or PA log daily records needed to represent total PA, light PA, moderate-to-vigorous PA, and sedentary behaviour.Results: Results of this study showed that three days of accelerometer data, four days of pedometer data, or four days of completing PA logs are needed to accurately predict PA levels in older adults. When examining time spent in specific intensities of PA, fewer days of data are needed for accurate prediction of time spent in that activity for ActiGraph but more for the PA log. To accurately predict average daily time spent in sedentary behaviour, five days of ActiGraph data are needed.Conclusions: The number days of objective (pedometer and ActiGraph) and subjective (PA log) data needed to accurately estimate daily PA in older adults was relatively consistent. Despite no statistical differences between days for total PA by the pedometer and ActiGraph, the magnitude of differences between days suggests that day of the week cannot be completely ignored in the design and analysis of PA studies that involve < 7-day monitoring protocols for these instruments. More days of accelerometer data were needed to determine typical sedentary behaviour than PA level in this population of older adults.