Evidence map›Paper›PMID 34501933›Full record

ArticleInternational journal of environmental research and public health2021

Weightlifting during the COVID-19 Pandemic-A Transnational Study Regarding Motivation, Barriers, and Coping of Master Athletes.

Marianne Huebner, Wenjuan Ma, Thomas Rieger

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Marianne HuebnerDepartment of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-9694-9231
Wenjuan MaCenter for Statistical Training and Consulting, Michigan State University, East Lansing, MI 48824, USA.
Thomas RiegerFaculty of Business and Sport, University of Europe for Applied Sciences, 58636 Iserlohn, Germany.ORCID 0000-0003-1959-1771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sport has been heavily impacted by the pandemic for over a year with restrictions and closures of facilities. The main aims of this study are to identify motivation and barriers for an international group of Master weightlifters (ages 35 and up) and analyze age and gender differences in pandemic-related changes to physical activities. A sample of 1051 older athletes, 523 women and 528 men, aged from 35 to 88 years, from Australia, Canada, Europe, and the USA provided responses to an online survey conducted in June 2021. A confirmatory factor analysis was performed to examine age, gender, and regional differences about motivation, barriers, and pandemic impact on sport and physical activities. Participants showed enthusiasm for the opportunity to compete despite health challenges with increasing age but faced barriers due to access to training facilities and qualified coaches even before the pandemic. The oldest athletes had the greatest reduction in physical activities during the pandemic. Weightlifters had the opportunity to compete in virtual competitions and 44% would like to see some of these continued in the future, especially women. These findings highlight the benefits of competitive sports and may provide future directions in strength sports for organizations, sports clubs, and coaches.

Indexed as

COVID-19PandemicsAdaptation, PsychologicalAdultAthletesExerciseFemaleHumansMaleMotivationSARS-CoV-2Weight LiftingbarriersCOVID-19gender differencesmotivationolder athletespandemicsportweightlifting

Identifiers

PMID34501933
PMCPMC8431275

What OpenQuestion holds

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Registered trials

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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.