Quality control methods in accelerometer data processing: defining minimum wear time.

Quality control methods in accelerometer data processing: defining minimum wear time.
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DOI:
10.1371/journal.pone.0067206
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Cortina-Borja M
Cortina-Borja M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Rich C;Geraci M;Griffiths L;Sera F;Dezateux C;Cortina-Borja M

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当使用加速度计测量身体活动时,研究人员需要确定受试者是否已经佩戴他们的设备足够长的时间才能纳入分析。我们提出了一个最小的磨损标准,使用人口为基础的加速度计数据,并探讨性别和有目的地纳入儿童与周末数据的可靠性的影响。对英国千禧年队列研究中7岁扫描期间获得的加速度计数据进行了分析。孩子们被要求佩戴ActiGraph GT 1 M加速计7天。基于组内相关系数,使用Spearman-Brown公式计算平均每日计数/分钟的可靠性系数(r)。r = 1.0表示所有的变化都是在儿童之间而不是儿童内部,并且测量是100%可靠的。r = 0.8通常被认为是可接受的可靠性。对满足不同每日最短佩戴时间(1至10小时)和佩戴天数(1至7天)的儿童的数据进行了重复分析。对所有儿童进行了分析,对男孩和女孩分别进行了分析,对有周末数据和没有周末数据的儿童分别进行了分析。从7,704个单件中获得了至少1小时的佩戴时间数据。可靠性随着最小天数和每日佩戴时间的增加而增加。当分析中包括持续≥10小时/天的≥ 2天的儿童时,实现了高可靠性(r = 0.86)和样本量(n =6,528)。   两种性别的可靠性系数相似。有目的的抽样儿童周末数据的可靠性计算独立的周末穿着。在大规模研究中,在分析加速计数据之前,应采取质量控制程序。使用≥ 2天持续≥10小时/天的儿童数据应提供可靠的体力活动估计值。在分析中只包括周末收集的加速度计数据的儿童是没有必要的。
When using accelerometers to measure physical activity, researchers need to determine whether subjects have worn their device for a sufficient period to be included in analyses. We propose a minimum wear criterion using population-based accelerometer data, and explore the influence of gender and the purposeful inclusion of children with weekend data on reliability. Accelerometer data obtained during the age seven sweep of the UK Millennium Cohort Study were analysed. Children were asked to wear an ActiGraph GT1M accelerometer for seven days. Reliability coefficients(r) of mean daily counts/minute were calculated using the Spearman-Brown formula based on the intraclass correlation coefficient. An r of 1.0 indicates that all the variation is between- rather than within-children and that measurement is 100% reliable. An r of 0.8 is often regarded as acceptable reliability. Analyses were repeated on data from children who met different minimum daily wear times (one to 10 hours) and wear days (one to seven days). Analyses were conducted for all children, separately for boys and girls, and separately for children with and without weekend data. At least one hour of wear time data was obtained from 7,704 singletons. Reliability increased as the minimum number of days and the daily wear time increased. A high reliability (r = 0.86) and sample size (n = 6,528) was achieved when children with ≥ two days lasting ≥10 hours/day were included in analyses. Reliability coefficients were similar for both genders. Purposeful sampling of children with weekend data resulted in comparable reliabilities to those calculated independent of weekend wear. Quality control procedures should be undertaken before analysing accelerometer data in large-scale studies. Using data from children with ≥ two days lasting ≥10 hours/day should provide reliable estimates of physical activity. It’s unnecessary to include only children with accelerometer data collected during weekends in analyses.
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