Compliance With Wearing Physical Activity Accelerometers in High School Students

Compliance With Wearing Physical Activity Accelerometers in High School Students
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DOI:
10.1123/jpah.6.s1.s148
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发表时间:
2009-09-01
影响因子:
3.1
通讯作者:
Slater, Megan E.
Slater, Megan E.
中科院分区:
医学4区
文献类型:
--
作者:
Sirard, John R.;Slater, Megan E.

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背景:加速度计在身体活动研究中的使用越来越流行,但很容易出现数据丢失的问题,这使得数据缩减和分析过程变得复杂。本研究的目的是确定假设的依从性策略对提高高中生佩戴身体活动加速度计的依从性的影响。方法:四所当地高中中的每所都被分配到四种合规策略之一:(1) 接到三个电话,(2) 完成每日日记,(3) 根据完成数据的天数(>= 10 小时)进行补偿,以及 (4) 控制条件。参与者佩戴 ActiGraph 加速度计 7 天来确定依从性和身体活动。结果:临时组的依从性最高,96% 的参与者至少获得了 7 天完整数据中的 4 天。在控制了年级水平、少数族裔学生学校水平百分比和学校水平社会经济地位 (SES) 后,特遣队的依从性仍然显着高于期刊 (85%)、电话 (72%) 和对照 (70%) 参与者 (P = .04)。结论:临时合规策略提高了学生每天佩戴监测仪的时间,从而提高了拥有 >= 10 小时数据的总天数。
Background: Accelerometer use in physical activity research has become increasingly popular but is prone to problems with missing data, which complicate the data reduction and analysis process. The purpose of this study was to determine the effect of hypothesized compliance strategies on improving compliance with wearing a physical activity accelerometer in high school students. Methods: Each of four local high schools was assigned to one of four compliance strategies: (1) receiving three phone calls, (2) completing a daily journal, (3) compensation contingent on number of complete (>= 10 hours) days of data, and (4) control condition. Participants wore ActiGraph accelerometers for seven days to determine compliance and physical activity. Results: The contingent group had the highest level of compliance with 96% of the participants acquiring at least four of seven complete days of data. After controlling for grade level, school level percent minority students, and school level socioeconomic status (SES), the contingent group's compliance remained significantly higher (P = .04) than the journal (85%), phone (72%), and control (70%) participants. Conclusions: The contingent compliance strategy improved the amount of time the students wore the monitor each day and, thus, the total number of days with >= 10 hours of data.