Article

Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK Biobank

2026-01-08

Abstract excerpt

<h4>Objective</h4> The selection of accelerometer processing methods may influence the shape of the dose-response association between wearable-measured physical activity and health outcomes. We aimed to compare the association of stroke and myocardial infarction with Moderate-Vigorous Physical Activity (MVPA) assessed by three accelerometer-generated metrics: Low-pass Filtered Euclidean Norm Minus One (LFENMO), m...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 485d5196-8c63-5c9e-939e-8adcff5e86f5
DOI: 10.64898/2026.01.07.26343633

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK BiobankDOI 10.64898/2026.01.07.26343633Read

11 million days of longitudinal wearable data reveal novel future health insightsSemantic proximity Read

A semi-quantitative method to denote generic physical activity phenotypes from long-term accelerometer data--the ATLAS index.Semantic proximity Read

Predicting age from 100,000 one week-long 100Hz wrist accelerometer records of physical activitySemantic proximity Read

Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study.Semantic proximity Read

Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in the UK BiobankSemantic proximity Read

Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES.Semantic proximity Read

Accelerometer-Derived and Genetically Inferred Physical Activity and Human DiseaseSemantic proximity Read

Accelerometer-Derived “Weekend Warrior” Physical Activity and Cardiovascular Outcomes Across the Stages 0–3 of Cardiovascular-Kidney-Metabolic Syndrome: A Prospective UK Biobank StudySemantic proximity Read

Prediction of coronary heart disease risk integrating polygenic risk scores and wearablesSemantic proximity Read

The Relationship Between Physical Activity and Non-Modifiable Risk Factors on Alzheimer's Disease and Brain Health Markers: A UK Biobank Study.Semantic proximity Read

Quantification of Acceleration as Activity Counts in ActiGraph WearablesSemantic proximity Read

High-Resolution Digital Phenotypes from Consumer Wearables Enhance Prediction of Cardiometabolic Risk MarkersSemantic proximity Read