ArticleNPJ digital medicine2022
Wearable accelerometer-derived physical activity and incident disease.
Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 55 citations in OpenAlex.
- Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Measuring long-term physical activity in patients with heart failure and its relation to health-related outcomes.ESC heart failure · 2026Observational
- Associations of Accelerometer-Derived "Weekend Warrior" Physical Activity Pattern With Incident First Cardiometabolic Disease and Cardiometabolic Multimorbidity in Individuals With Hypertension.Journal of the American Heart Association · 2026Article
- Accelerometer-measured physical activity fragmentation and incident cardiovascular diseases: a prospective cohort study.Nutrition journal · 2026Article
- [Association between wearable-derived physical activity patterns and gut microbiota in older adults].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Sensor wide association studies in digital medicine.NPJ digital medicine · 2026Review
- Artificial intelligence-enhanced wearable technology enables ventricular arrhythmia prediction.European heart journal. Digital health · 2026Article
- Accelerometer-Measured Sedentary Behavior, Future Disease, and Cardiovascular-Kidney-Metabolic Health.JACC. Advances · 2026Article
- Association of Changes in Activity Patterns With Brain Atrophy and Disability Progression in People With Multiple Sclerosis.Neurology · 2026Article
- Patterns and Clinical Outcomes of Physical Activity and Sedentary Behavior Across 20 Million Days of Wearable Monitoring in U.S. Adults.medRxiv : the preprint server for health sciences · 2026Article
- 11 million days of longitudinal wearable data reveal novel future health insights.medRxiv : the preprint server for health sciences · 2026Article
- Anticipating key innovations in physical activity epidemiology for the coming decades.Innovation (Cambridge (Mass.)) · 2026Article
- Objective Assessment of Media Screens Effect on Physical Activity in Preschool Children.IEEE access : practical innovations, open solutions · 2026Article
- Nonexercise Equations for Cardiorespiratory Fitness in Older Adults using Body Roundness Index and Waist Circumference.Exercise, sport & movement · 2026Article
- Association between Accelerometer-derived Physical Activity-related Metabolic Signature and Stroke: A Cohort Study from UK Biobank.The journal of nutrition, health & aging · 2026Article
- Physical activity levels may impact on the risk of premature mortality in people with epilepsy.Nature communications · 2025Article
- Uncovering the Molecular Landscape of Physical Activity: Proteomic Insights from the UK Biobank.medRxiv : the preprint server for health sciences · 2025Article
- Short-term changes in objectively measured activity predict brain atrophy and disability progression in multiple sclerosis.medRxiv : the preprint server for health sciences · 2025Article
- Phenome-wide association of physical activity with morbidity and mortality risk in China: A prospective cohort study.Innovation (Cambridge (Mass.)) · 2025Article
- Biomarkers of aging: from molecules and surrogates to physiology and function.Physiological reviews · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Physical activity is regarded as favorable to health but effects across the spectrum of human disease are poorly quantified. In contrast to self-reported measures, wearable accelerometers can provide more precise and reproducible activity quantification. Using wrist-worn accelerometry data from the UK Biobank prospective cohort study, we test associations between moderate-to-vigorous physical activity (MVPA) - both total MVPA minutes and whether MVPA is above a guideline-based threshold of ≥150 min/week-and incidence of 697 diseases using Cox proportional hazards models adjusted for age, sex, body mass index, smoking, Townsend Deprivation Index, educational attainment, diet quality, alcohol use, blood pressure, anti-hypertensive use. We correct for multiplicity at a false discovery rate of 1%. We perform analogous testing using self-reported MVPA. Among 96,244 adults wearing accelerometers for one week (age 62 ± 8 years), MVPA is associated with 373 (54%) tested diseases over a median 6.3 years of follow-up. Greater MVPA is overwhelmingly associated with lower disease risk (98% of associations) with hazard ratios (HRs) ranging 0.70-0.98 per 150 min increase in weekly MVPA, and associations spanning all 16 disease categories tested. Overall, associations with lower disease risk are enriched for cardiac (16%), digestive (14%), endocrine/metabolic (10%), and respiratory conditions (8%) (chi-square p < 0.01). Similar patterns are observed using the guideline-based threshold of ≥150 MVPA min/week. Some of the strongest associations with guideline-adherent activity include lower risks of incident heart failure (HR 0.65, 95% CI 0.55-0.77), type 2 diabetes (HR 0.64, 95% CI 0.58-0.71), cholelithiasis (HR 0.61, 95% CI 0.54-0.70), and chronic bronchitis (HR 0.42, 95% CI 0.33-0.54). When assessed within 456,374 individuals providing self-reported MVPA, effect sizes for guideline-adherent activity are substantially smaller (e.g., heart failure HR 0.84, 95% CI 0.80-0.88). Greater wearable device-based physical activity is robustly associated with lower disease incidence. Future studies are warranted to identify potential mechanisms linking physical activity and disease, and assess whether optimization of measured activity can reduce disease risk.
Identifiers
What OpenQuestion holds
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.