NHANES 2011-2014: Objective Physical Activity Is the Strongest Predictor of All-Cause Mortality.

Autor:	Leroux A; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO., Cui E, Smirnova E; Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA., Muschelli J; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD., Schrack JA; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD., Crainiceanu CM; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Jazyk:	angličtina
Zdroj:	Medicine and science in sports and exercise [Med Sci Sports Exerc] 2024 Oct 01; Vol. 56 (10), pp. 1926-1934. Date of Electronic Publication: 2024 Jul 01.
DOI:	10.1249/MSS.0000000000003497
Abstrakt:	Introduction: Objectively measured physical activity (PA) is a modifiable risk factor for mortality. Understanding the predictive performance of PA is essential to establish potential targets for early intervention to reduce mortality among older adults. Methods: The study used a subset of the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data consisting of participants 50 to 80 yr old ( n = 3653, 24297.5 person-years of follow-up, 416 deaths). Eight accelerometry-derived features and 14 traditional predictors of all-cause mortality were compared and ranked in terms of their individual and combined predictive performance using the 10-fold cross-validated concordance (C) from Cox regression. Results: The top 3 predictors of mortality in univariate analysis were PA related: average Monitor-Independent Movement Summary (MIMS) in the 10 most active hours (C = 0.697), total MIMS per day (C = 0.686), and average log-transformed MIMS in the most 10 active hours of the day (C = 0.684), outperforming age (C = 0.676) and other traditional predictors of mortality. In multivariate regression, adding objectively measured PA to the top performing model without PA variables increased concordance from C = 0.776 to C = 0.790 ( P < 0.001). Conclusions: These findings highlight the importance of PA as a risk marker of mortality and are consistent with prior studies, confirming the importance of accelerometer-derived activity measures beyond total volume. (Copyright © 2024 by the American College of Sports Medicine.)
Databáze:	MEDLINE
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