ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021
Quantifying the Predictive Performance of Objectively Measured Physical Activity on Mortality in the UK Biobank.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Physical Activity in Community-Dwelling Older Adults: Which Real-World Accelerometry Measures Are Robust? A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Accelerometer-derived physical activity, sarcopenia, and grip strength as modifiers of type 2 diabetes risk.Scientific reports · 2026Article
- Accelerometry-derived activity fragmentation as a predictor of brain atrophy and disability progression in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Exploring Links between Brain Image-Derived Phenotypes and Accelerometer-Measured Physical Activity in the UK Biobank.bioRxiv : the preprint server for biology · 2026Article
- Association of chronic disease risk and physical activity measured by wearable devices in the All of Us program.Communications medicine · 2026Article
- Disturbed rest-activity rhythm in Parkinson's disease: Associations with motor severity and orthostatic hypotension.Journal of Parkinson's disease · 2025Article
- Uncovering the Molecular Landscape of Physical Activity: Proteomic Insights from the UK Biobank.medRxiv : the preprint server for health sciences · 2025Article
- 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
- Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study.JMIR mHealth and uHealth · 2025Article
- High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy.BioData mining · 2025Article
- Moderate-to-Vigorous Physical Activity at any Dose Reduces All-Cause Dementia Risk Regardless of Frailty Status.Journal of the American Medical Directors Association · 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
- Accelerometer-based physical activity, air pollution and risk of dementia subtypes: a prospective study using UK biobank.Frontiers in public health · 2025Article
- Cross-sectional relationships of circadian misalignment and rest-activity rhythms with occupational attainment in UK Biobank participants.Chronobiology international · 2025Article
- Associations between physical activity and CVD-related metabolomic and proteomic biomarkers.PloS one · 2025Article
- Assessment of physical activity patterns in patients with rheumatoid arthritis using the UK Biobank.PloS one · 2025Article
- Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in >88,000 individuals.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Accelerometer-derived physical activity and mortality in individuals with type 2 diabetes.Nature communications · 2024Article
- Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan.NPJ digital medicine · 2024Article
- Association of accelerometer-measured sleep duration and different intensities of physical activity with incident type 2 diabetes in a population-based cohort study.Journal of sport and health science · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundObjective measures of physical activity (PA) derived from wrist-worn accelerometers are compared with traditional risk factors in terms of mortality prediction performance in the UK Biobank.
methodA subset of participants in the UK Biobank study wore a tri-axial wrist-worn accelerometer in a free-living environment for up to 7 days. A total of 82 304 individuals over the age of 50 (439 707 person-years of follow-up, 1959 deaths) had both accelerometry data that met specified quality criteria and complete data on a set of traditional mortality risk factors. Predictive performance was assessed using cross-validated Concordance (C) for Cox regression models. Forward selection was used to obtain a set of best predictors of mortality.
resultsIn univariate Cox regression, age was the best predictor of all-cause mortality (C = 0.681) followed by 12 PA predictors, led by minutes of moderate-to-vigorous PA (C = 0.661) and total acceleration (C = 0.661). Overall, 16 of the top 20 predictors were objective PA measures (C = 0.578-0.661). Using a threshold of 0.001 improvement in Concordance, the Concordance for the best model that did not include PA measures was 0.735 (9 covariates) compared with 0.748 (12 covariates) for the best model with PA variables (p-value < .001).
conclusionsObjective measures of PA derived from accelerometry outperform traditional predictors of all-cause mortality in the UK Biobank except age and substantially improve the prediction performance of mortality models based on traditional risk factors. Results confirm and complement previous findings in the National Health and Nutrition Examination Survey (NHANES).
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