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||Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior.
||Welk GJ, Beyler NK, Kim Y, Matthews CE
||Med Sci Sports Exerc
||2017 Feb 25
||INTRODUCTION: 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). METHODS: 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. RESULTS: 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. CONCLUSION: 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.