The Predictive Performance of Objective Measures of Physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in Older Adults: National Health and Nutritional Examination Survey 2003–2006

Document Type

Presentation Abstract

Presentation Date

12-2-2019

Abstract

Reliable measures of the frequency, duration and intensity of physical activity provided by wearable technology were used in the analysis of activity data. Accelerometry derived measures of physical activity were compared with established predictors of 5-year all-cause mortality in older adults, aged between 50 and 85 years from the 2003- 2006 National Health and Nutritional Examination Survey, in terms of individual, relative, and combined predictive performance. A total of 33 predictors of 5-year all-cause mortality, including 20 measures of objective physical activity, were compared using univariate and multivariate logistic regression. The results show that objective accelerometry-derived physical activity measures outperform traditional predictors of 5-year mortality, including age. This highlights the importance of wearable technology for providing reproducible, unbiased, and prognostic biomarkers of health.

Additional Details

Link to the presenter's dissertation.

Monday, December 2, 2019 at 3:00 p.m. in Math 103
Refreshments at 4:00 p.m. in Math Lounge 109

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