Evidence map›Paper›PMID 33871831›Full record

Observational studySports medicine (Auckland, N.Z.)2021

The Impact of Coronavirus (COVID-19) Related Public-Health Measures on Training Behaviours of Individuals Previously Participating in Resistance Training: A Cross-Sectional Survey Study.

James Steele, Patroklos Androulakis-Korakakis, Luke Carlson, David Williams, Stuart Phillips, Dave Smith, Brad J Schoenfeld, Jeremy P Loenneke, Richard Winett, Takashi Abe and 12 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Sports medicine (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
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  9. Article
  10. Association between the Health Belief Model, Exercise, and Nutrition Behaviors during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Resistance Training before, during, and after COVID-19 Infection: What Have We Learned So Far?International journal of environmental research and public health · 2022
    Review
  15. 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

22 authors at 14 institutions in 9 countries.

James SteeleSolent University, Southampton, UK. james.steele@solent.ac.uk.ORCID http://orcid.org/0000-0002-8003-0757
Patroklos Androulakis-KorakakisSolent University, Southampton, UK.
Luke CarlsonDiscover Strength, Minneapolis, USA.
David WilliamsBrown University, Providence, USA.
Stuart PhillipsMcMaster University, Hamilton, Canada.
Dave SmithManchester Metropolitan University, Manchester, UK.
Brad J SchoenfeldLehman College, New York, USA.
Jeremy P LoennekeUniversity of Mississippi, Oxford, USA.
Richard WinettVirginia Tech University, Blacksburg, USA.
Takashi AbeUniversity of Mississippi, Oxford, USA.
Stéphane DufourUniversity of Strasbourg, Strasbourg, France.
Martino V FranchiUniversity of Padova, Padua, Italy.
Fabio SartoUniversity of Padova, Padua, Italy.
Tommy R LundbergKarolinska Institutet, Stockholm, Sweden.
Paulo GentilUniversidade Federal de Goias, Goias, Brazil.
Thue KvorningTeam Danmark, Brøndby, Denmark.
Jürgen GiessingUniversität Landau, Mainz, Germany.
Milan SedliakComenius University in Bratislava, Bratislava, Slovakia.
Antonio PaoliUniversity of Padova, Padua, Italy.
Fiona SpotswoodUniversity of Bristol, Bristol, UK.
Alex Lucasukactive Research Institute, London, UK.
James P FisherSolent University, Southampton, UK.
Southampton Solent University · GBUniversity of Padua · ITUniversity of Mississippi · USBrown University · USComenius University Bratislava · SKKarolinska Institutet · SELehman College · USManchester Metropolitan University · GBMcMaster University · CAUniversidade Federal de Goiás · BRUniversité de Strasbourg · FRUniversity of Bristol · GBUniversity of Koblenz and Landau · DEVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUnderstanding the impact of lockdown upon resistance training (RT), and how people adapted their RT behaviours, has implications for strategies to maintain engagement in similar positive health behaviours. Further, doing so will provide a baseline for investigation of the long-term effects of these public health measures upon behaviours and perceptions, and facilitate future follow-up study.

objectivesTo determine how the onset of coronavirus (COVID-19), and associated 'lockdown', affected RT behaviours, in addition to motivation, perceived effectiveness, enjoyment, and intent to continue, in those who regularly performed RT prior to the pandemic.

methodsWe conducted an observational, cross-sectional study using online surveys in multiple languages (English, Danish, French, German, Italian, Portuguese, Slovakian, Swedish, and Japanese) distributed across social media platforms and through authors' professional and personal networks. Adults (n = 5389; median age = 31 years [interquartile range (IQR) = 25, 38]), previously engaged in RT prior to lockdown (median prior RT experience = 7 years [IQR = 4, 12]) participated. Outcomes were self-reported RT behaviours including: continuation of RT during lockdown, location of RT, purchase of specific equipment for RT, method of training, full-body or split routine, types of training, repetition ranges, exercise number, set volumes (per exercise and muscle group), weekly frequency of training, perception of effort, whether training was planned/recorded, time of day, and training goals. Secondary outcomes included motivation, perceived effectiveness, enjoyment, and intent to continue RT.

resultsA majority of individuals (82.8%) maintained participation in RT during-lockdown. Marginal probabilities from generalised linear models and generalised estimating equations for RT behaviours were largely similar from pre- to during-lockdown. There was reduced probability of training in privately owned gyms (~ 59% to ~ 7%) and increased probability of training at home (~ 18% to ~ 89%); greater probability of training using a full-body routine (~ 38% to ~ 51%); reduced probability of resistance machines (~ 66% to ~ 13%) and free weight use (~ 96% to ~ 81%), and increased probability of bodyweight training (~ 62% to ~ 82%); reduced probability of moderate repetition ranges (~ 62-82% to ~ 55-66%) and greater probability of higher repetition ranges (~ 27% to ~ 49%); and moderate reduction in the perception of effort experienced during-training (r = 0.31). Further, individuals were slightly less likely to plan or record training during lockdown and many changed their training goals. Additionally, perceived effectiveness, enjoyment, and likelihood of continuing current training were all lower during-lockdown.

conclusionsThose engaged in RT prior to lockdown these behaviours with only slight adaptations in both location and types of training performed. However, people employed less effort, had lower motivation, and perceived training as less effective and enjoyable, reporting their likelihood of continuing current training was similar or lower than pre-lockdown. These results have implications for strategies to maintain engagement in positive health behaviours such as RT during-restrictive pandemic-related public health measures. PRE-REGISTRATION: https://osf.io/qcmpf . PREPRINT: The preprint version of this work is available on SportRχiv: https://osf.io/preprints/sportrxiv/b8s7e/ .

Indexed as

Communicable Disease ControlCOVID-19Resistance TrainingAdultCross-Sectional StudiesFollow-Up StudiesHumansPublic Health

Identifiers

PMID33871831
PMCPMC8054258
OpenAlexW3154737748

What OpenQuestion holds

Textmetadata
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.