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.
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.
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DOI：
10.3390/s21010004
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发表时间：
2020-12-22
期刊：
影响因子：
--
通讯作者：
Smirnova E
中科院分区：
文献类型：
--
作者：
Tabacu L;Ledbetter M;Leroux A;Crainiceanu C;Smirnova E
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.
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影响因子：
4.1
作者：
Fishman EI;Steeves JA;Zipunnikov V;Koster A;Berrigan D;Harris TA;Murphy R
通讯作者：
Murphy R
影响因子：
9.8
作者：
Erikssen, G
通讯作者：
Erikssen, G
影响因子：
39.2
作者：
Larson, EB;Wang, L;Kukull, W
通讯作者：
Kukull, W
影响因子：
4.5
作者：
LaCroix AZ;Rillamas-Sun E;Buchner D;Evenson KR;Di C;Lee IM;Marshall S;LaMonte MJ;Hunt J;Tinker LF;Stefanick M;Lewis CE;Bellettiere J;Herring AH
通讯作者：
Herring AH
影响因子：
3.7
作者：
Koster A;Caserotti P;Patel KV;Matthews CE;Berrigan D;Van Domelen DR;Brychta RJ;Chen KY;Harris TB
通讯作者：
Harris TB