Evidence map›Paper›PMID 38632327›Full record

ArticleScientific reports2024

Training strategies of 10,074 athletes from 121 countries based on human development index in early COVID-19 lockdown.

Olivier Galy, Jad Adrian Washif, Guillaume Wattelez, Abdulaziz Farooq, Olivier Hue, Øyvind Sandbakk, Christopher Martyn Beaven, Stephen Seiler, Ding Ding, David B Pyne and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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.

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.

  1. Review
  2. Review
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

11 authors.

Olivier GalyInterdisciplinary Laboratory for Research in Education, University of New Caledonia, Nouméa, New Caledonia. olivier.galy@unc.nc.ORCID 0000-0002-4631-959X
Jad Adrian WashifSports Performance Division, Institut Sukan Negara Malaysia (National Sports Institute of Malaysia), Kuala Lumpur, Malaysia.ORCID 0000-0001-8543-4489
Guillaume WattelezInterdisciplinary Laboratory for Research in Education, University of New Caledonia, Nouméa, New Caledonia.ORCID 0000-0003-1564-0636
Abdulaziz FarooqAspetar, Orthopaedic and Sports Medicine Hospital, Doha, Qatar.ORCID 0000-0002-9162-4948
Olivier HueLaboratoire ACTES, Université des Antilles, Pointe-À-Pitre, Guadeloupe, France.ORCID 0000-0002-2155-0816
Øyvind SandbakkCentre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-9014-5152
Christopher Martyn BeavenTe Huataki Waiora School of Health, University of Waikato, Tauranga, New Zealand.ORCID 0000-0003-2900-7460
Stephen SeilerDepartment of Sport Science and Physical Education, Faculty of Health and Sports Sciences, University of Agder, Kristiansand, Norway.ORCID 0000-0001-8024-5232
Ding DingSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia.ORCID 0000-0001-9850-9224
David B PyneResearch Institute for Sport and Exercise, University of Canberra, Canberra, Australia.ORCID 0000-0003-1555-5079
Karim ChamariHigher Institute of Sport and Physical Education, ISSEP Ksar Saïd, Manouba University, Manouba, Tunisia.ORCID 0000-0001-9178-7678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate relationships between changes in training practices and human development index (HDI) levels, and identify strategies employed by athletes who consistently maintained their training quantity during the first 100 days of the COVID-19 pandemic. A total of 10,074 athletes (5290 amateur and 4787 professional athletes from 121 countries) completed an online survey between 17 May to 5 July 2020. We explored their training practices, including specific questions on training frequency, duration and quantity before and during lockdown (March-June 2020), stratified according to the human development index (HDI): low-medium, high, or very high HDI. During the COVID-19 lockdown, athletes in low-medium HDI countries focused on innovative training. Nevertheless, women and amateur athletes experienced a substantial reduction in training activity. Performance-driven athletes and athletes from higher HDI indexed countries, were likely to have more opportunities to diversify training activities during lockdowns, facilitated by the flexibility to perform training away from home. Factors such as lockdown rules, socioeconomic environment, and training education limited training diversification and approaches, particularly in low-medium and high HDI countries. Athletes (amateurs and professionals) who maintained the quantity of training during lockdown appeared to prioritize basic cardiovascular and strength training, irrespective of HDI level. Modifying training and fitness programs may help mitigate the decrease in training activities during lockdowns. Customized training prescriptions based on gender, performance, and HDI level will assist individuals to effectively perform and maintain training activities during lockdowns, or other challenging (lockdown-like) situations.

Indexed as

COVID-19PandemicsAthletesCommunicable Disease ControlExerciseFemaleHumansEducationHealthHuman development indexPhysical activitySocio-economic inequitySport

Identifiers

PMID38632327
PMCPMC11024144

What Socratic 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 Socratic graph.