Document Type
Article
Publication Date
2020
DOI
10.3390/s21010004
Publication Title
Sensors
Volume
21
Issue
1
Pages
4 (19 pp.)
Abstract
Physical activity measures derived from wearable accelerometers have been shown to be highly predictive of all-cause mortality. Prediction models based on traditional risk factors and accelerometry-derived physical activity measures are developed for five time horizons. The data set contains 2978 study participants between 50 and 85 years old with an average of 13.08 years of follow-up in the NHANES 2003–2004 and 2005–2006. Univariate and multivariate logistic regression models were fit separately for five datasets for one- to five-year all-cause mortality as outcome (number of events 46, 94, 155, 218, and 297, respectively). In univariate models the total activity count (TAC) was ranked first in all five horizons (AUC between 0.831 and 0.774) while the active to sedentary transition probability (ASTP) was ranked second for one- to four-year mortality models and fourth for the five-year all-cause mortality model (AUC between 0.825 and 0.735). In multivariate models age and ASTP were significant in all one- to five-year all-cause mortality prediction models. Physical activity measures are consistently among the top predictors, even after adjusting for demographic and lifestyle variables. Physical activity measures are strong stand-alone predictors and substantially improve the prediction performance of models based on traditional risk factors.
Original Publication Citation
Tabacu, L., Ledbetter, M., Leroux, A., Crainiceanu, C., & Smirnova, E. (2020). Quantifying the varying predictive value of physical activity measures obtained from wearable accelerometers on all-cause mortality over short to medium time horizons in NHANES 2003-2006. Sensors 21(1), Article 4. https://doi.org/10.3390/s21010004
Repository Citation
Tabacu, Lucia; Ledbetter, Mark; Leroux, Andrew; Crainiceanu, Ciprian; and Smirnova, Ekaterina, "Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality Over Short to Medium Time Horizons in NHANES 2003-2006" (2020). Mathematics & Statistics Faculty Publications. 182.
https://digitalcommons.odu.edu/mathstat_fac_pubs/182
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Mathematics Commons
Comments
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CCBY) license.