ArticleAging clinical and experimental research2022
Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES.
Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Running gait kinematics are reproducible at the beginning and end of two different intensity, energy expenditure matched runs, using either discrete points or functional data analysis.Frontiers in sports and active living · 2026Article
- Height May Explain Sex Differences in Systolic Blood Pressure in Older Adults.Hypertension (Dallas, Tex. : 1979) · 2025Article
- Device-independent Physical Activity metrics and adiposity-related indicators among children and adolescents in the United States.Journal of sports sciences · 2025Article
- Exploratory analysis of smartphone-based step counts as a digital biomarker for survival in ALS patients.Frontiers in digital health · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults.BMJ open sport & exercise medicine · 2024Article
- Characterizing ActiGraph's Idle Sleep Mode in Free-living Assessments of Physical Behavior.Journal for the measurement of physical behaviour · 2024Article
- Investigating the value of glucodensity analysis of continuous glucose monitoring data in type 1 diabetes: an exploratory analysis.Frontiers in clinical diabetes and healthcare · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.