Evidence map›Paper›PMID 33372973›Full record

ArticleJAMA network open2020

Accuracy of US College Football Players' Estimates of Their Risk of Concussion or Injury.

Christine M Baugh, Emily Kroshus, William P Meehan, Thomas G McGuire, Laura A Hatfield

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  6. Concussion Nondisclosure in Youth Sports.Journal of athletic training · 2022
    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

5 authors.

Christine M BaughDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Emily KroshusDepartment of Pediatrics, University of Washington, Seattle.
William P MeehanSports Concussion Clinic, Department of Sports Medicine, Boston Children's Hospital, Boston, Massachusetts.
Thomas G McGuireDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Laura A HatfieldDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

Funding

Health Policy Training Program: Promoting Outcomes, Quality, Equity and Diffusion of AdvancesT32MH019733 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Benjamin Le Cook, Haiden A Huskamp · 1993 to 2026
$7.0M
NIMH NIH HHS T32 MH019733
6 · The paper itself

Abstract

Importance: Despite increased concern about the health consequences of contact sports, little is known about athletes' understanding of their own risk of sports-related injury. Objective: To assess whether college football players accurately estimate their risk of concussion and nonconcussion injury and to identify characteristics of athletes who misestimate their injury risk. Design, Setting, and Participants: In this survey study, questionnaires were given to 296 current college football players on 4 teams from the 3 of the 5 most competitive conferences of the US National Collegiate Athletic Association. Surveys were conducted between February and May 2017. Data were analyzed from June 2017 through July 2020. Main Outcomes and Measures: Multiple approaches were taken to compare athlete perceptions of their risks of concussion and nonconcussion injury with individual probabilities of these risks, which were modeled using logistic regression. Results: Of 296 male college-aged athletes from 4 football teams who participated in the survey, 265 (89%) answered all questions relevant for this study. Participating teams were similar to nonparticipating teams across nearly all measured characteristics. One hundred athletes (34%) had sustained 1 or more concussions, and 197 (68% of the 289 who responded to the question) had sustained 1 or more injuries in the previous football season. Logistic regression models of single-season injury and concussion had reasonably good fit (area under the curve, 0.75 and 0.73, respectively). Of the 265 participants for whom all relevant data were available, 111 (42%) underestimated their risk of concussion (χ2 = 98.6; P = .003). A similar proportion of athletes (113 [43%]) underestimated their risk of injury, although this was not statistically significant (χ2 = 34.0; P = .09). An alternative analytic strategy suggested that 241 athletes (91%) underestimated their risk of injury (Wilcoxon statistic, 7865; P < .001) and 167 (63%) underestimated their risk of concussion (Wilcoxon statistic, 26 768; P < .001). Conclusions and Relevance: The findings of this survey study suggest that college football players may underestimate their risk of injury and concussion. The implications for informed participation in sport are unclear given that people generally underestimate health risks. It is necessary to consider whether athletes are sufficiently informed and how much risk is acceptable for an athlete to participate in a sport.

Indexed as

Diagnostic Self EvaluationAdolescentAthletesBrain ConcussionFootballHumansLogistic ModelsMaleRisk AssessmentStudentsSurveys and QuestionnairesUnited StatesUniversitiesYoung Adult

Identifiers

PMID33372973
PMCPMC7772718

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.