Evidence map›Paper›PMID 35010586›Full record

ArticleInternational journal of environmental research and public health2021

The Value of Meteorological Data in Optimizing the Pattern of Physical Load-A Forecast Model of Rowing Pacing Strategy.

Tian Yan, Xiaodong Zhu, Xuesong Ding, Liming Chen

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tian YanDivision of Sports Science and Physical Education, North China University of Science and Technology, Tangshan 063210, China.
Xiaodong ZhuDivision of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China.
Xuesong DingSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Liming ChenDivision of Sports Science and Physical Education, Tangshan Polytechnic College, Tangshan 063299, China.ORCID 0000-0003-1906-3311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastering the information of arena environment is the premise for athletes to optimize their patterns of physical load. Therefore, improving the forecast accuracy of the arena conditions is an urgent task in competitive sports. This paper excavates the meteorological features that have great influence on outdoor events such as rowing and their influence on the pacing strategy. We selected the meteorological data of Tokyo from 1979 to 2020 to forecast the meteorology during the Tokyo 2021 Olympic Games, analyzed the athletes' pacing choice under different temperatures, humidity and sports levels, and then recommend the best pacing strategy for rowing teams of China. The model proposed in this paper complements the absence of meteorological features in the arena environment assessment and provides an algorithm basis for improving the forecast performance of pacing strategies in outdoor sports.

Indexed as

SportsWater SportsAthletesHumansHumidityMeteorologyforecastmeteorological datapacing strategyphysical loadrowing

Identifiers

PMID35010586
PMCPMC8750911

What OpenQuestion holds

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LicenceCC BY
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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.