Evidence map›Paper›PMID 36196105›Full record

ArticleKansas journal of medicine2022

A Measure of Burnout in Current NCAA Student-Athletes.

Nick E Giusti, Seth L Carder, Megan Wolf, Lisa Vopat, Jordan Baker, Armin Tarakemeh, Kelly Bal, Jeffrey Randall, Bryan G Vopat

Open access · diamondAbstract read
In one paragraph

Article in Kansas journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 1 country.

Nick E GiustiDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Seth L CarderDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Megan WolfDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Lisa VopatDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Jordan BakerDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Armin TarakemehDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Kelly BalDepartment of Orthopaedics, The University of West Virginia Medical Center, Morgantown, WV.
Jeffrey RandallDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
Bryan G VopatDepartment of Orthopedic Surgery and Sports Medicine, The University of Kansas Medical Center, Kansas City, KS.
University of Kansas Medical Center · USUniversity of Kansas · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence of athletes who specialize in sports has increased in recent years. Substantial literature on youth sports has linked early sport specialization to negative consequences, such as burnout and injury. However, empirical evidence comparing rates of burnout and specialization in NCAA athletes is limited. The purpose of this study was to survey current NCAA Division I student-athletes to compare levels of burnout to sex, year of NCAA eligibility, and age at the beginning of sport specialization. Methods: A self-reported survey was distributed to student-athletes at two NCAA Division I institutions, which included demographics, sport specialization history, injury history, and the Athlete Burnout Questionnaire. Results from the three measures of the Athlete Burnout Questionnaire (reduced sense of accomplishment, exhaustion, sport devaluation) were compared to sex, year of NCAA eligibility, age of beginning sport specialization, and injury history. Results: A total of 267 athletes (95 males and 172 females) completed the survey. Of those, 156 (58.4%) were in their first or second year of NCAA eligibility, and 111 (41.6%) were in their third, fourth, or fifth year. Of the total, 121 (46.4%) reported specializing before the age of 15, and 140 (53.6%) specialized at age 16 or older. Females reported significantly higher levels of exhaustion than males (Difference of means (M) = 0.43, 95% confidence interval (CI) = [0.20, 0.66], p < 0.01). Athletes in their third, fourth, or fifth year of eligibility reported significantly higher levels of sport devaluation (M = 0.27, 95% CI = [0.05, 0.48], p < 0.05) than athletes in their first or second year. Athletes who specialized before age 15 did not report significantly higher levels of burnout than athletes who specialized at age 16 or later. In total, 203 athletes (77.2%) reported experiencing any injury. Athletes who reported a history of experiencing any injury demonstrated significantly higher feelings of reduced sense of accomplishment than athletes with no injury history (Difference of means (M) = 0.24, 95% confidence interval (CI) = [0.03, 0.45], p < 0.05). Conclusions: Athletes were more likely to experience elevated levels of burnout if they reported female sex, older NCAA eligibility, or a past injury history. However, athletes were not more likely to experience increased burnout based on age of beginning specialization. The results demonstrated a need to address burnout in athletes following injury and to be aware that females and older athletes are more prone to burnout.

Indexed as

gender differencesoveruse injurypsychological burnoutsportssports medicine

Identifiers

PMID36196105
PMCPMC9518709
OpenAlexW4296987843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.