Ehrlich Samantha F, Casteel Amanda J, Crouter Scott E, Hibbing Paul R, Hedderson Monique M, Brown Susan D, Galarce Maren, Coe Dawn P, Bassett David R, Ferrara Assiamira
Division of Research, Kaiser Permanente Northern California and The University of Tennessee, Knoxville.
The University of Tennessee, Knoxville.
J Meas Phys Behav. 2020 Jun;3(2):110-117. doi: 10.1123/jmpb.2019-0049.
This study sought to compare three sensor-based wear-time estimation methods to conventional diaries for ActiGraph wGT3X-BT accelerometers worn on the non-dominant wrist in early pregnancy.
Pregnant women (n= 108) wore ActiGraph wGT3X-BT accelerometers for 7 days and recorded their device on and off times in a diary (criterion). Average daily wear-time estimates from the Troiano and Choi algorithms and the wGT3X-BT accelerometer wear sensor were compared against the diary. The Hibbing 2-regression model was used to estimate time spent in activity (during periods of device wear) for each method. Wear-time and time spent in activity were compared with multiple repeated measures ANOVAs. Bland Altman plots assessed agreement between methods.
Compared to the diary [825.5 minutes (795.1, 856.0)], the Choi [843.0 (95% CI 812.6, 873.5)] and Troiano [839.1 (808.7, 869.6)] algorithms slightly overestimated wear-time, whereas the sensor [774.4 (743.9, 804.9)] underestimated it, although only the sensor differed significantly from the diary ( < .0001). Upon adjustment for average daily wear-time, there were no statistically significant differences between the wear-time methods in regards to minutes per day of moderate to vigorous physical activity (MVPA), vigorous PA, and moderate PA. Bland Altman plots indicated the Troiano and Choi algorithms were similar to the diary and within ≤ 0.5% of each other for wear-time and MVPA.
The Choi or Troiano algorithms offer a valid and efficient alternative to diaries for the estimation daily wear-time in larger-scale studies of MVPA during pregnancy, and reduce burden for study participants and research staff.
本研究旨在比较三种基于传感器的佩戴时间估计方法与传统日记法，用于评估怀孕早期非优势手腕佩戴的ActiGraph wGT3X - BT加速度计的佩戴时间。
108名孕妇佩戴ActiGraph wGT3X - BT加速度计7天，并在日记中记录设备的开启和关闭时间（标准方法）。将Troiano和Choi算法以及wGT3X - BT加速度计佩戴传感器的平均每日佩戴时间估计值与日记记录进行比较。使用Hibbing 2回归模型估计每种方法在设备佩戴期间的活动时间。通过多重重复测量方差分析比较佩戴时间和活动时间。Bland Altman图评估方法之间的一致性。
与日记记录的[825.5分钟（795.1, 856.0）]相比，Choi算法[843.0（95% CI 812.6, 873.5）]和Troiano算法[839.1（808.7, 869.6）]略微高估了佩戴时间，而传感器估计值[774.4（743.9, 804.9）]则低估了佩戴时间，尽管只有传感器估计值与日记记录有显著差异（< .0001）。在调整平均每日佩戴时间后，就中度至剧烈身体活动（MVPA）、剧烈身体活动和中度身体活动的每日分钟数而言，佩戴时间方法之间没有统计学上的显著差异。Bland Altman图表明，Troiano和Choi算法与日记记录相似，在佩戴时间和MVPA方面彼此相差≤ 0.5%。
在孕期MVPA的大规模研究中，Choi或Troiano算法为估计每日佩戴时间提供了一种有效且高效的替代日记法的方法，减轻了研究参与者和研究人员的负担。
