Evidence map›Paper›PMID 36247962›Full record

ArticleBiology of sport2022

Ramadan intermittent fasting induced poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries.

Jad Adrian Washif, David B Pyne, Øyvind Sandbakk, Khaled Trabelsi, Abdul Rashid Aziz, Christopher Martyn Beaven, Isabel Krug, Iñigo Mujika, Achraf Ammar, Anis Chaouachi and 14 more

Abstract read
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In one paragraph

Article in Biology of sport, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

24 authors.

Jad Adrian WashifSports Performance Division, Institut Sukan Negara Malaysia (National Sports Institute of Malaysia), 57000 Kuala Lumpur, Malaysia.
David B PyneResearch Institute for Sport and Exercise, University of Canberra, Canberra, Australia.
Øyvind SandbakkCentre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian, University of Science and Technology, Trondheim, Norway.
Khaled TrabelsiHigh Institute of Sport and Physical Education, University of Sfax, Sfax, Tunisia.
Abdul Rashid AzizSport Science and Sport Medicine, Singapore Sport Institute, Sport Singapore, Singapore.
Christopher Martyn BeavenDivision of Health, Engineering, Computing and Science, Te Huataki Waiora School of Health, University of Waikato, Tauranga, New Zealand.
Isabel KrugMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
Iñigo MujikaDepartment of Physiology, Faculty of Medicine and Nursing, University of the Basque Country, Leioa, Basque Country.
Achraf AmmarInstitute of Sport Sciences, Otto-von-Guericke University, 39104 Magdeburg, Germany.
Anis ChaouachiTunisian Research Laboratory, Sport Performance Optimisation, National Center of Medicine and Science in Sports (CNMSS), Tunis, Tunisia.
Imen Moussa-ChamariPhysical Education Department, College of Education, Qatar University, Doha, Qatar.
Asma AlouiPhysical Activity, Sport & Health Research Unit (UR18JS01), National Sport Observatory, Tunis, Tunisia.
Hamdi ChtourouPhysical Activity, Sport & Health Research Unit (UR18JS01), National Sport Observatory, Tunis, Tunisia.
Abdulaziz FarooqSports Performance Division, Institut Sukan Negara Malaysia (National Sports Institute of Malaysia), 57000 Kuala Lumpur, Malaysia.
Monoem HaddadPhysical Education Department, College of Education, Qatar University, Doha, Qatar.
Mohamed RomdhaniPhysical Activity, Sport & Health Research Unit (UR18JS01), National Sport Observatory, Tunis, Tunisia.
Paul SalamhKrannert School of Physical Therapy, University of Indianapolis, Indianapolis, USA.
Montassar TabbenAspetar, Orthopaedic and Sports Medicine Hospital, FIFA Medical Centre of Excellence, Doha, Qatar.
Del P WongSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong.
Yacine ZerguiniFIFA Medical Centre of Excellence Algiers, Algeria.
Matthew D DeLangRight to Dream Academy, Old Akrade, Ghana Lee Taylor.
Lee TaylorSchool of Sport, Exercise and Health Sciences, Loughborough University. National Centre for Sport and Exercise Medicine (NCSEM), Loughborough, United Kingdom.
Helmi Ben SaadLaboratoire de Recherche "insuffisance cardiaque" (LR12SP09), Hôpital Farhat HACHED, Université de Sousse, Sousse, Tunisie.
Karim ChamariAspetar, Orthopaedic and Sports Medicine Hospital, FIFA Medical Centre of Excellence, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ramadan intermittent fasting during the COVID-19 lockdown (RIFL) may present unique demands. We investigated training practices (i.e., training load and training times) of athletes, using pre-defined survey criteria/questions, during the 'first' COVID-19 lockdown, comparing RIFL to lockdown-alone (LD) in Muslim athletes. Specifically, a within-subject, survey-based study saw athletes (n = 5,529; from 110 countries/territories) training practices (comparing RIFL to LD) explored by comparative variables of: sex; age; continent; athlete classification (e.g., world-class); sport classification (e.g., endurance); athlete status (e.g., professional); and level of training knowledge and beliefs/attitudes (ranked as: good/moderate/poor). During RIFL (compared to LD), athlete perceptions (ranges presented given variety of comparative variables) of their training load decreased (46-62%), were maintained (31-48%) or increased (2-13%). Decreases (≥ 5%, p < 0.05) affected more athletes aged 30-39 years than those 18-29 years (60 vs 55%); more national than international athletes (59 vs 51%); more team sports than precision sports (59 vs 46%); more North American than European athletes (62 vs 53%); more semi-professional than professional athletes (60 vs 54%); more athletes who rated their beliefs/attitudes 'good' compared to 'poor' and 'moderate' (61 vs 54 and 53%, respectively); and more athletes with 'moderate' than 'poor' knowledge (58 vs 53%). During RIFL, athletes had different strategies for training times, with 13-29% training twice a day (i.e., afternoon and night), 12-26% at night only, and 18-36% in the afternoon only, with ranges depending on the comparative variables. Training loads and activities were altered negatively during RIFL compared to LD. It would be prudent for decision-makers responsible for RIFL athletes to develop programs to support athletes during such challenges.

Indexed as

Crowdsource dataGlobal sportsRemote trainingTraining loadTraining perceptionVulnerable athletes

Identifiers

PMID36247962
PMCPMC9536381

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.