This web app enables researchers to upload GPAQ values and download predicted values which are calibrated to more accurately represent what would have been recorded via ActiGraph. Data must be uploaded as a text file; various delimiters may be used. Any rows with missing values will be removed. Visualizations are provided, and the calibrated values can be downloaded as part of the original data set. The calibration model was constructed using data collected by the Active Ottumwa project (https://www.public-health.uiowa.edu/prc/active-ottumwa/), a community-based research project by the University of Iowa Prevention Research Center, funded by the Centers for Disease Control and Prevention. A number of linear and non-linear relationships between GPAQ scores and corresponding ActiGraph data were investigated. AIC was used to select the best model from a training set, and the resulting calibration model was validated on a testing set from the same population as well as a testing set on a different population. Please see the following paper for more details: Metcalf, K., Baquero, B., Laroche, H., Coronado Garcia, M., Francis, S., Janz, K., Laroche, H., and Sewell, D.K. (2018) Calibration of the Global Physical Activity Questionnaire to Accelerometry Measured Physical Activity and Sedentary Behavior. BMC Public Health, 18, 412.
If this web app is used, we request that the above work be cited. You may access the web app by clicking the link below: