Evidence map›Paper›PMID 35206298›Full record

ArticleInternational journal of environmental research and public health2022

Prediction and Analysis of Tokyo Olympic Games Swimming Results: Impact of the COVID-19 Pandemic on Swimmers' Performance.

Sabrina Demarie, Emanuele Chirico, Christel Galvani

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
  2. Article
  3. Effects and Causes of Detraining in Athletes Due to COVID-19: A Review.International journal of environmental research and public health · 2022
    Review
  4. 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.

Sabrina DemarieDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Roma, Italy.ORCID 0000-0003-2390-3192
Emanuele ChiricoDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Roma, Italy.
Christel GalvaniApplied Exercise Physiology Laboratory, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the COVID-19 pandemic in the 2019-2020 season, swimming competitions and training have been limited leading to a setback in performances. The study analyzed if, during the subsequent season, swimmers' have been able to regain the lost performance. Swimming time trends were analyzed comparing Tokyo with Rio Olympics and with mathematically predicted results. The gap between the gold medalist and the last finalist, and the differences between men and women have also been considered. Swimming competition results of females and males, in 100 m and 200 m Freestyle and Backstroke, were collected from the Olympics' official website. Results showed that at Tokyo Olympics almost all swimmers' times improved as compared to Rio's. Analysis of performance trends highlighted that performance progression does not proceed in a linear fashion and that is best predicted by more recent results. Women's progression was higher than men's and the gap between the first and last finalist constantly decreased, except for the Tokyo Olympics. In conclusion, the unprecedented Tokyo Olympic Games and qualification year seems not to have disrupted all Olympic swimmers' performance, suggesting that stakeholders support and athlete's coping ability might safeguard the subsistence of performance.

Indexed as

COVID-19SwimmingFemaleHumansMalePandemicsSARS-CoV-2TokyoCOVID-19 pandemicperformance analysisperformance predictionswimming

Identifiers

PMID35206298
PMCPMC8871566

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.