Evidence map›Paper›PMID 38969696›Full record

ArticleScientific reports2024

Using wet-bulb globe temperature meters to examine the effect of heat on various tennis court surfaces.

Hiroki Yamaguchi, Takaaki Mori, Hiromi Hanano, Kan Oishi, Kentaro Ikeue, Yuiko Yamamoto, Kojiro Ishii

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Hiroki YamaguchiGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Takaaki MoriGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Hiromi HananoGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Kan OishiGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Kentaro IkeueGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Yuiko YamamotoGraduate School of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan.
Kojiro IshiiFaculty of Health and Sports Science, Doshisha University, Kyotanabe, Kyoto, Japan. kishii@mail.doshisha.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluated the thermal environments of different tennis courts using wet-bulb globe temperature (WBGT) meters. WBGT meters were installed in an outdoor hard court, sand-filled artificial grass court, and clay court (a softball field), and measurements were taken hourly from 9:00 to 17:00 on weekdays from June 1 to September 21, 2022. The results were compared with data from different courts and the nearest Japan Meteorological Agency station (JMA WBGT) based on the Japan Sports Association's guidelines for exercise to prevent heat stroke. The median WBGT on each court was significantly higher for hard courts at the "Warning" (25 ≤ JMA WBGT < 28) level or above, sand-filled artificial grass courts at the "Severe Warning" (28 ≤ JMA WBGT < 31) level or above, and clay courts at the "Danger" (31 ≤ JMA WBGT) level than the JMA WBGT. Compared with the JMA WBGT, hard and sand-filled artificial grass courts are played on under particularly hot conditions. The results of this study could indicate to tournament organizers and coaches the importance of measuring the WBGT on each court surface from an early stage to prevent heat-related incidents.

Indexed as

Hot TemperatureTennisHumansJapanHeat-related illnessTennis court surfaceThermal environmentWet-bulb globe temperature

Identifiers

PMID38969696
PMCPMC11226421

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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.