Evidence map›Paper›PMID 30157271›Full record

ArticlePloS one2018

Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners.

Carlos Hernando, Carla Hernando, Eladio Joaquin Collado, Nayara Panizo, Ignacio Martinez-Navarro, Barbara Hernando

2 registry-linked trialsAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT03990259 completednot on this mapstarted 2019, after this paper: background citation

Penyagolosa Trail Saludable Women

Typeobservational_patient_registrySponsorUniversitat Jaume IRan2019 to 2019Enrolled50ConditionsPhysical ExertionArmsRunning the CSP Mountain Race
NCT06969898 completednot on this mapstarted 2025, after this paper: background citation

Penyagolosa Trail Saludable 2025

Typeobservational_patient_registrySponsorUniversitat Jaume IRan2025 to 2025Enrolled37ConditionsPhysical ExerciseArmsSingle Ultramarathon runners
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Carlos HernandoSport Service, Jaume I University, Castellon, Spain.ORCID 0000-0001-7182-4785
Carla HernandoDepartment of Mathematics, Carlos III University of Madrid, Madrid, Spain.
Eladio Joaquin ColladoFaculty of Health Sciences, Jaume I University, Castellon, Spain.
Nayara PanizoFaculty of Health Sciences, Jaume I University, Castellon, Spain.
Ignacio Martinez-NavarroDepartment of Physical Education and Sport, University of Valencia, Valencia, Spain.
Barbara HernandoDepartment of Medicine, Jaume I University, Castellon, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

AccelerometryAdultArea Under CurveEnergy MetabolismExercise TestFemaleHumansMaleMiddle AgedROC CurveRunningSex FactorsSupport Vector Machine

Identifiers

PMID30157271
PMCPMC6114871

What OpenQuestion holds

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LicenceCC BY
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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.