ArticleSports medicine (Auckland, N.Z.)2025
Using Free-Living Heart Rate Data as an Objective Method to Assess Physical Activity: A Scoping Review and Recommendations by the INTERLIVE-Network Targeting Consumer Wearables.
Article in Sports medicine (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 2 of them syntheses that pooled it.
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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Exploiting Unsupervised Free-Living Data for Cardiorespiratory Fitness Estimation: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2026Pooled it
- Effects of Low-Intensity Endurance Training on Aerobic Fitness and Risk Factors of Cardiometabolic Health in Working-Age Adults: A Systematic Review and Meta-Analysis.Scandinavian journal of medicine & science in sports · 2026Pooled it
- lagCI enables inference of temporal causal relationships from dense multi-omic time series.Briefings in bioinformatics · 2026Article
- Measuring long-term physical activity in patients with heart failure and its relation to health-related outcomes.ESC heart failure · 2026Observational
- Standardizing moderate- and vigorous-intensity exercise doses by physiological strain: an exploratory randomized cross-over study.European journal of applied physiology · 2026Article
- A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patients.Journal of sport and health science · 2026Article
- Accuracy of heart rate measurement using AirPods Pro 3 during graded treadmill exercise: A laboratory-based validation study.PLOS digital health · 2026Article
- Tracking the longitudinal course of physiologic and mental health functioning among individuals in substance use disorder treatment.Frontiers in psychiatry · 2026Article
- Symbiotic AI and equitable digital health: toward trustworthy and inclusive health ecosystems.Frontiers in digital health · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
Abstract
Wearable technologies open up new avenues for the assessment of individual physical activity behaviour. Particularly, free-living heart rate (HR) data assessed by optical sensors are becoming widely available. However, while an abundancy of scientific information and guidance exists for the processing of raw acceleration data, no universal recommendations for the utilization of continuous HR recordings during free-living conditions are available. Towards Intelligent Health and Well-Being: Network of Physical Activity Assessment (INTERLIVE
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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.