ArticlePloS one2018
Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 15 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.
Penyagolosa Trail Saludable Women
Penyagolosa Trail Saludable 2025
Who cites it
15 citing papers in PubMed.
- Immediate and 24-h post-marathon cardiac troponin T is associated with relative exercise intensity.European journal of applied physiology · 2020Trial
- Methods for classifying physical activities using accelerometer data: a scoping review.NPJ digital medicine · 2026Article
- Daily physical activity patterns across the menstrual cycle in eumenorrheic female athletes: an accelerometry-based study.Frontiers in sports and active living · 2026Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Prehabilitation Consultation on Self-Care and Physical Exercise in Patients Diagnosed with Abdominopelvic Cancer: Protocol of the Study.Healthcare (Basel, Switzerland) · 2024Article
- Physical Activity Intensity Measurement and Health: State of the Art and Future Directions for Scientific Research.International journal of environmental research and public health · 2023Article
- Performance of Different Accelerometry-Based Metrics to Estimate Oxygen Consumption during Track and Treadmill Locomotion over a Wide Intensity Range.Sensors (Basel, Switzerland) · 2023Article
- Physical Activity Monitoring and Classification Using Machine Learning Techniques.Life (Basel, Switzerland) · 2022Article
- Assessment of Physical Activity in Adults Using Wrist Accelerometers.Epidemiologic reviews · 2022Review
- Renal Function Recovery Strategies Following Marathon in Amateur Runners.Frontiers in physiology · 2022Article
- Pacing and Body Weight Changes During a Mountain Ultramarathon: Sex Differences and Performance.Journal of human kinetics · 2021Article
- Using Accelerometry for Evaluating Energy Consumption and Running Intensity Distribution Throughout a Marathon According to Sex.International journal of environmental research and public health · 2020Article
- Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners.Sports (Basel, Switzerland) · 2020Article
- Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices.Scientific reports · 2020Article
- Optimization and Validation of an Adjustable Activity Classification Algorithm for Assessment of Physical Behavior in Elderly.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. Nighty-eight (83 males and 15 females) recreational marathoners, aged 30-45 years, completed a cardiopulmonary exercise test running on a treadmill while wearing a GENEA accelerometer on their non-dominant wrist. The breath-by-breath V̇O2 data was also collected for criterion measure of physical activity categories (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous). GENEA cut-points for physical activity classification was performed via Receiver Operating Characteristic (ROC) analysis. Spearman's correlation test was applied to determine the relationship between estimated and measured intensity classifications. Statistical analysis were done for all individuals, and separating samples by sex. The GENEA cut-points established were able to distinguish between all six-relative intensity levels with an excellent classification accuracy (area under the ROC curve (AUC) values between 0.886 and 0.973) for all samples. When samples were separated by sex, AUC values were 0.881-0.973 and 0.924-0.968 for males and females, respectively. The total variance in energy expenditure explained by GENEA accelerometer data was 78.50% for all samples, 78.14% for males, and 83.17% for females. In conclusion, the wrist-worn GENEA accelerometer presents a high capacity of classifying the intensity of physical activity in middle-aged recreational marathoners when examining all samples together, as well as when sample set was separated by sex. This study suggests that the triaxial GENEA accelerometers (worn on the non-dominant wrist) can be used to predict energy expenditure for running activities.
Indexed as
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.