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NHANES 2011-2014: Objective Physical Activity is the Strongest Predictor of All-Cause Mortality.
Leroux, Andrew; Cui, Erjia; Smirnova, Ekaterina; Muschelli, John; Schrack, Jennifer A; Crainiceanu, Ciprian M.
Afiliação
  • Leroux A; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO.
  • 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.
Med Sci Sports Exerc ; 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38949152
ABSTRACT

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 aged 50 to 80 years 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 three predictors of mortality in univariate analysis were PA related average 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.

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Med Sci Sports Exerc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Colômbia

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Med Sci Sports Exerc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Colômbia