RT journal article
T1 Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES
A1 Matabuena, Marcos
A1 Félix, Paulo
A1 Ali Hammour, Ziad Akram
A1 Mota, Jorge
A1 Pozo Cruz, Borja del
A2 Didáctica de la Educación FísicaPlástica y Musical
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 moreprecisely the direction, magnitude, intensity, and volume of physical activity that should be performed on a daily basis to effectivelypromote the health of individuals. This study aimed to assess the clinical validity of new physical activity phenotypes derived froma novel distributional functional analysis of accelerometer data in older adults. A random sample of participants aged between 65and 80 years with valid accelerometer data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014was used. Five major clinical phenotypes were identified, which provided a greater sensitivity for predicting 5-year mortality andsurvival outcomes than age alone, and our results confirm the importance of moderate-to-vigorous physical activity. The new clini-cal physical activity phenotypes are a promising tool for improving patient prognosis and for directing to more targeted interventionplanning, according to the principles of precision medicine. The use of distributional representations shows clear advantages overmore traditional metrics to explore the effects of the full spectrum of the physical activity continuum on human health.
PB SPRINGER
SN 1720-8319
YR 2022
FD 2022-12
LK http://hdl.handle.net/10498/28560
UL http://hdl.handle.net/10498/28560
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-may-2026