Evidence map›Paper›PMID 30668925›Full record

ArticleJournal of athletic training2019

Epidemiology of Exertional Heat Illnesses in National Collegiate Athletic Association Athletes During the 2009-2010 Through 2014-2015 Academic Years.

Susan W Yeargin, Thomas P Dompier, Douglas J Casa, Rebecca M Hirschhorn, Zachary Y Kerr

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Journal of athletic training, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Review
  8. Stress Response and Safe Driving Time of Bus Drivers in Hot Weather.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Exertional heat illnesses in marching band artists: a case series.International journal of biometeorology · 2021
    Article
  11. Article
  12. Exertional Heat Stroke Knowledge and Management among Emergency Medical Service Providers.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. A Comprehensive Model for Estimating Heat Vulnerability of Young Athletes.International journal of environmental research and public health · 2020
    Article
  17. Review
  18. 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

5 authors at 4 institutions in 1 country.

Susan W YearginDepartment of Exercise Science, University of South Carolina, Columbia.
Thomas P DompierDepartment of Athletic Training, Lebanon Valley College, Annville, PA.
Douglas J CasaDepartment of Kinesiology, University of Connecticut, Storrs.
Rebecca M HirschhornDepartment of Exercise Science, University of South Carolina, Columbia.
Zachary Y KerrDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill.
University of South Carolina · USLebanon Valley College · USUniversity of Connecticut · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextExertional heat illnesses (EHIs) among football athletes have been widely researched, but data examining all collegiate sports are limited.

objectiveTo describe the epidemiology of EHI in 25 National Collegiate Athletic Association (NCAA) sports.

designDescriptive epidemiology study.

settingThe NCAA Injury Surveillance Program during the 2009-2010 through 2014-2015 academic years. PATIENTS OR OTHER

participantsA voluntary sample of 166 NCAA institutions over 2048 team-seasons. MAIN OUTCOME MEASURE(S): Athletic trainers reported EHIs to the NCAA Injury Surveillance Program. Only EHIs sustained during a sanctioned practice or competition were included. The EHI rate, specific diagnoses, and number of emergency transports were measured.

resultsOverall, 232 EHI events were reported (0.47/10 000 athlete-exposures [AEs]; 95% confidence interval [CI] = 0.41, 0.53). Football comprised 75% of all EHI events and had the largest rate (1.55/10 000 AEs; 95% CI = 1.32, 1.78). The overall EHI rate was higher in preseason practices (1.16/10 000 AEs) than all other time periods (regular and postseason practices and all competitions; 0.23/10 000 AEs, injury rate ratio [IRR] = 4.96; 95% CI = 3.79, 6.50). This result was retained when examining the individual sports of football (3.65/10 000 versus 0.63/10 000 AEs, IRR = 5.82; 95% CI = 4.18, 8.10), men's soccer (1.11/10 000 versus 0.07/10 000 AEs, IRR = 16.819; 95% CI = 1.89, 138.55), and women's soccer (1.10/10 000 versus 0.05/10 000 AEs, IRR = 22.52; 95% CI = 2.77, 183.05). The EHI rates were highest in states with elevated annual temperatures (1.05/10 000 AEs). Heat cramps (39%), heat exhaustion (27%), and dehydration (29%) were the most common types of EHI. Nineteen athletes with EHI (8%) required emergency transport.

conclusionsFootball players continue to experience the most EHIs; however, EHIs can potentially occur in all NCAA sports. Continued emphasis on preseason EHI policies and institution-specific environmental guidelines is needed to address EHI rates.

Indexed as

AdolescentAthletesAthletic InjuriesDehydrationExerciseFemaleFootballHeat Stress DisordersHot TemperatureHumansIncidenceMaleProspective StudiesSeasonsSoccerStudentsAmerican footballemergency transportexercise-associated muscle crampsheat exhaustionheat strokehyponatremia

Identifiers

PMID30668925
PMCPMC6410980
OpenAlexW2913271761

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.