Evidence map›Paper›PMID 32859029›Full record

ArticleInternational journal of environmental research and public health2020

Using Accelerometry for Evaluating Energy Consumption and Running Intensity Distribution Throughout a Marathon According to Sex.

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

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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 at 1 institution in 1 country.

Carlos HernandoSport Service, Jaume I University, 12071 Castellon, Spain.ORCID 0000-0001-7182-4785
Carla HernandoDepartment of Mathematics, Carlos III University of Madrid, 28911 Leganés, Madrid, Spain.
Ignacio Martinez-NavarroDepartment of Physical Education and Sport, University of Valencia, 46010 Valencia, Spain.
Eladio Collado-BoiraFaculty of Health Sciences, Jaume I University, 12071 Castellon, Spain.ORCID 0000-0001-8062-4152
Nayara PanizoFaculty of Health Sciences, Jaume I University, 12071 Castellon, Spain.
Barbara HernandoDepartment of Medicine, Jaume I University, 12071 Castellon, Spain.
Universitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proportion of females participating in long-distance races has been increasing in the last years. Although it is well-known that there are differences in how females and males face a marathon, higher research may be done to fully understand the intrinsic and extrinsic factors affecting sex differences in endurance performance. In this work, we used triaxial accelerometer devices to monitor 74 males and 14 females, aged 30 to 45 years, who finished the Valencia Marathon in 2016. Moreover, marathon split times were provided by organizers. Several physiological traits and training habits were collected from each participant. Then, we evaluated several accelerometry- and pace-estimated parameters (pacing, average change of speed, energy consumption, oxygen uptake, running intensity distribution and running economy) in female and male amateur runners. In general, our results showed that females maintained a more stable pacing and ran at less demanding intensity throughout the marathon, limiting the decay of running pace in the last part of the race. In fact, females ran at 4.5% faster pace than males in the last kilometers. Besides, their running economy was higher than males (consumed nearly 19% less relative energy per distance) in the last section of the marathon. Our results may reflect well-known sex differences in physiology (i.e., muscle strength, fat metabolism, VO

Indexed as

AccelerometryAdultAthletesAthletic PerformanceEnergy MetabolismFemaleHeart RateHumansLipid MetabolismMaleMiddle AgedPhysical EnduranceRunningaccelerometryenergy consumptionmarathonerspacingphysical activityrunning economyrunning intensitysex

Identifiers

PMID32859029
PMCPMC7503696
OpenAlexW3080989005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.