ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020
The Predictive Performance of Objective Measures of Physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in Older Adults: National Health and Nutritional Examination Survey 2003-2006.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Timing of physical activity within the 24-hour day and its influence on health: a systematic review.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022Pooled it
- Digital Predictors of Morbidity, Hospitalization, and Mortality Among Older Adults: A Systematic Review and Meta-Analysis.Frontiers in digital health · 2020Pooled it
- Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study.Journal of medical Internet research · 2026Observational
- Functional quantile principal component analysis.Biostatistics (Oxford, England) · 2025Article
- Biomarkers of aging: from molecules and surrogates to physiology and function.Physiological reviews · 2025Review
- Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study.medRxiv : the preprint server for health sciences · 2025Article
- The association of physical activity fragmentation with all-cause mortality in Hispanics: a prospective cohort study.Lancet regional health. Americas · 2025Article
- Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer's Disease in the UK Biobank.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Learning causal effect of physical activity distribution: an application of functional treatment effect estimation with unmeasured confounding.Journal of applied statistics · 2025Article
- Accelerometer-based physical activity, air pollution and risk of dementia subtypes: a prospective study using UK biobank.Frontiers in public health · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Unveiling the Impact of Eco-Friendly Synthesized Nanoparticles on Vegetative Growth and Gene Expression inMolecules (Basel, Switzerland) · 2024Article
- Impact of automated data flow and reminders on adherence and resource utilization for remotely monitoring physical activity in individuals with stroke or chronic obstructive pulmonary disease.medRxiv : the preprint server for health sciences · 2024Article
- Direct Bayesian linear regression for distribution-valued covariates.Electronic journal of statistics · 2024Article
- Physical activity cut-points for older adults using the Zio XT onboard accelerometer.BMC digital health · 2024Article
- Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction.The Laryngoscope · 2023Article
- Early-life physical performance predicts the aging and death of elite athletes.Science advances · 2023Article
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- Bouts of rest and physical activity in C57BL/6J mice.PloS one · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundDeclining physical activity (PA) is a hallmark of aging. Wearable technology provides reliable measures of the frequency, duration, intensity, and timing of PA. Accelerometry-derived measures of PA are compared with established predictors of 5-year all-cause mortality in older adults in terms of individual, relative, and combined predictive performance.
methodsParticipants aged between 50 and 85 years from the 2003-2006 National Health and Nutritional Examination Survey (NHANES, n = 2,978) wore a hip-worn accelerometer in the free-living environment for up to 7 days. A total of 33 predictors of 5-year all-cause mortality (number of events = 297), including 20 measures of objective PA, were compared using univariate and multivariate logistic regression.
resultsIn univariate logistic regression, the total activity count was the best predictor of 5-year mortality (Area under the Curve (AUC) = 0.771) followed by age (AUC = 0.758). Overall, 9 of the top 10 predictors were objective PA measures (AUC from 0.771 to 0.692). In multivariate regression, the 10-fold cross-validated AUC was 0.798 for the model without objective PA variables (9 predictors) and 0.838 for the forward selection model with objective PA variables (13 predictors). The Net Reclassification Index was substantially improved by adding objective PA variables (p < .001).
conclusionsObjective accelerometry-derived PA measures outperform traditional predictors of 5-year mortality, including age. This highlights the importance of wearable technology for providing reproducible, unbiased, and prognostic biomarkers of health.
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