RT Journal Article
T1 Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES
A1 Matabuena Rodríguez, Marcos
A1 Félix Lamas, Paulo
A1 Hammouri, Ziad Akram Ali
A1 Mota, Jorge
A1 Pozo Cruz, Borja del
K1 Physical activity
K1 Precision medicine
K1 Accelerometry
K1 Distributional representation
K1 Longevity
AB Physical activity is deemed critical to successful ageing. Despite evidence and progress, there is still a need to determine more precisely the direction, magnitude, intensity, and volume of physical activity that should be performed on a daily basis to effectively promote the health of individuals. This study aimed to assess the clinical validity of new physical activity phenotypes derived from a novel distributional functional analysis of accelerometer data in older adults. A random sample of participants aged between 65 and 80 years with valid accelerometer data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 was used. Five major clinical phenotypes were identified, which provided a greater sensitivity for predicting 5-year mortality and survival outcomes than age alone, and our results confirm the importance of moderate-to-vigorous physical activity. The new clinical physical activity phenotypes are a promising tool for improving patient prognosis and for directing to more targeted intervention planning, according to the principles of precision medicine. The use of distributional representations shows clear advantages over more traditional metrics to explore the effects of the full spectrum of the physical activity continuum on human health
PB Springer
SN 0009-398X
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29991
UL http://hdl.handle.net/10347/29991
LA eng
NO Matabuena, M., Félix, P., Hammouri, Z.A.A. et al. Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES. Aging Clin Exp Res 34, 3107–3114 (2022). https://doi.org/10.1007/s40520-022-02260-3
NO Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research was funded by the Ministry of Science and Innovation of Spain, under Grant No. PID2021-123152OB-C21
DS Minerva
RD 24 abr 2026