TY - JOUR
T1 - NHANES 2011-2014
T2 - Objective Physical Activity Is the Strongest Predictor of All-Cause Mortality
AU - Leroux, Andrew
AU - Cui, Erjia
AU - Smirnova, Ekaterina
AU - Muschelli, John
AU - Schrack, Jennifer A.
AU - Crainiceanu, Ciprian M.
N1 - Publisher Copyright:
© Lippincott Williams Wilkins.
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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.
AB - 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.
KW - EXERCISE
KW - LONGEVITY
KW - PHYSICAL ACTIVITY
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U2 - 10.1249/mss.0000000000003497
DO - 10.1249/mss.0000000000003497
M3 - Article
C2 - 38949152
AN - SCOPUS:85204417125
SN - 0195-9131
VL - 56
SP - 1926
EP - 1934
JO - Medicine and science in sports and exercise
JF - Medicine and science in sports and exercise
IS - 10
ER -