Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior.
Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior.
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DOI：
10.1249/mss.0000000000001237
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发表时间：
2017-07
影响因子：
4.1
通讯作者：
Matthews CE
中科院分区：
文献类型：
--
作者：
Welk GJ;Beyler NK;Kim Y;Matthews CE
校准方程提供了通过重新调整潜在的有偏见的估计来提高体力活动(PA)和久坐行为(SB)的自我报告测量的准确性和实用性的潜力。本研究评估了用于估计体力活动测量调查(PAMS)中具有代表性的成年人样本中PA和SB的校准模型。PAMS项目的参与者完成了重复的一天试验，包括佩戴SenseWear臂章(SWA)监测器24小时，然后通过电话进行24小时体力活动召回(PAR)。综合的统计模型选择和验证程序被用来开发和测试独立的校准模型，旨在根据自我报告的PAR数据预测客观测量的SB和中度到剧烈的PA(MVPA)。等价性检验被用来评估模型预测值与独立坚持样本中的客观测量的等价性。SB和MVPA的最终预测模型包括报告的在SB和MVPA中花费的时间，以及捕捉性别、年龄、教育程度和BMI的术语。对独立样本的交叉验证分析显示，与观察值SB(r=0.72)和MVPA(r=0.75)具有很高的相关性。等价性检验表明，对于SB和MVPA，模型预测值与相应的目标值在统计上是相等的。结果表明，简单的回归模型可以用来对不同人群中自我报告的高估或低估进行统计调整。模型根据PAR产生的群体估计在统计上等于从客观SWA监视器获得的在SB和MVPA上花费的观察时间；然而，需要额外的工作来修正对个人行为的估计。
Calibration equations offer potential to improve the accuracy and utility of self-report measures of physical activity (PA) and sedentary behavior (SB) by re-scaling potentially biased estimates. The present study evaluates calibration models designed to estimate PA and SB in a representative sample of adults from the Physical Activity Measurement Survey (PAMS). Participants in the PAMS project completed replicate single day trials that involved wearing a Sensewear armband (SWA) monitor for 24 hours followed by a telephone administered 24-hour physical activity recall (PAR). Comprehensive statistical model selection and validation procedures were used to develop and test separate calibration models designed to predict objectively-measured SB and moderate to vigorous PA (MVPA from self-reported PAR data. Equivalence testing was used to evaluate the equivalence of the model-predicted values with the objective measures in a separate holdout sample. The final prediction model for both SB and MVPA included reported time spent in SB and MVPA, as well as terms capturing sex, age, education, and BMI. Cross-validation analyses on an independent sample exhibited high correlations with observed SB (r = 0.72) and MVPA (r = 0.75). Equivalence testing demonstrated that the model-predicted values were statistically equivalent to the corresponding objective values for both SB and MVPA. The results demonstrate that simple regression models can be used to statistically adjust for over or underestimation in self-report measures among different segments of the population. The models produced group estimates from the PAR that were statistically equivalent to the observed time spent in SB and MVPA obtained from the objective SWA monitor; however additional work is needed to correct for estimates of individual behavior.