Evidence map›Paper›PMID 35356471›Full record

ArticlePeerJ2022

A worldwide comparison of long-distance running training in 2019 and 2020: associated effects of the COVID-19 pandemic.

Leonardo A Afonseca, Renato N Watanabe, Marcos Duarte

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Leonardo A AfonsecaBiomedical Engineering, Universidade Federal do ABC, Sao Bernardo do Campo, SP, Brazil.
Renato N WatanabeBiomedical Engineering, Universidade Federal do ABC, Sao Bernardo do Campo, SP, Brazil.
Marcos DuarteBiomedical Engineering, Universidade Federal do ABC, Sao Bernardo do Campo, SP, Brazil.
Universidade Federal do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The goal of the present study was to investigate possible effects of the COVID-19 pandemic on long-distance running training. Methods: This is a retrospective study with a within-subject design. We analyzed 10,703,690 records of running training during 2019 and 2020, from 36,412 athletes from around the world. The records were obtained through web scraping of a large social network for athletes on the internet. A potential long-distance runner was defined as a user of the social network who had a record of running at least one of the six World Marathon Majors by 2019. Results: In 2020, compared with 2019, in total there was a 3.6% decrease in the number of athletes running, a 7.5% decrease in the distance and 6.7% in the duration of running training. There were large variations in these variables throughout 2020, reaching 16% fewer athletes running weekly and 35% lower running distance (Cohen's Conclusion: The wide variations in long-distance running training throughout 2020 are likely related to the COVID-19 pandemic. As for the total volume, the observed decreases of up to 7.5% in the outcome variables related to running training in 2020 could also be attributed to the COVID-19 pandemic, but other factors such as injury, illness or lack of interest, may also have contributed to these decreases.

Indexed as

COVID-19RunningHumansPandemicsPhysical EnduranceRetrospective StudiesData sciencePhysical activityPublic healthRunningSports

Identifiers

PMID35356471
PMCPMC8958962
OpenAlexW4221042841

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.