A Latent Profile Analysis to Categorize and Describe Athletes Based on Factors Related to Concussion Disclosure.
Collegiate student-athletes continue competing after experiencing symptoms of a concussion. Self-report of concussion symptoms is a critical element of the recovery process. Identifying factors related to concussion disclosure can aid in encouraging self-reporting. To use latent profile analysis to...
| Publicado en: | Journal of Athletic Training (KnowledgeWorks Global, Ltd) Vol. 56; no. 1; pp. 85 - 92 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
KnowledgeWorks Global, Ltd
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149597238&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149597238 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10626050 HB36 jtl: Journal of Athletic Training (KnowledgeWorks Global, Ltd) issn: 10626050 maglogo: N pubinfo: dt: Jan2021 vid: 56 iid: 1 pid: 81084 pub: KnowledgeWorks Global, Ltd place: Richmond, Virginia artinfo: ui: 149597238 149597238 149597238 10.4085/1062-6050-0308.19 149597238 ppf: 85 ppct: 7 formats: tig: atl: A Latent Profile Analysis to Categorize and Describe Athletes Based on Factors Related to Concussion Disclosure. aug: au: Milroy, Jeffrey Sanders, Lindsey Mendenhall, Brandon Dudley, William B. Wyrick, David affil: University of North Carolina at Greensboro sug: subj: Brain Concussion Truth Disclosure Athletes, College Psychosocial Factors Athletes, College Classification Health Behavior Evaluation Human Male Female Cross Sectional Studies Structural Equation Modeling Attitude to Illness Student Attitudes Sex Factors Risk Taking Behavior Contact Sports Help Seeking Behavior Social Norms Regression Data Analysis, Statistical Methods Attitude Measures Psychological Tests State-Trait Anxiety Inventory Funding Source Male Female ab: Collegiate student-athletes continue competing after experiencing symptoms of a concussion. Self-report of concussion symptoms is a critical element of the recovery process. Identifying factors related to concussion disclosure can aid in encouraging self-reporting. To use latent profile analysis to categorize and describe athletes based on factors related to concussion disclosure. Cross-sectional study. Web-based survey. A total of 2 881 (52.4% female; 65.3% in-season; 40% collision sport) student-athletes from 16 National Collegiate Athletic Association member institutions. Student-athlete concussion expectations, attitudes, and norms were the profile variables and reporting intentions served as the distal outcome variable. We conducted latent profile analysis using select profile variables to determine the optimal number of classes. Differences in concussion-reporting intentions by profile assignment were then examined. Lastly, the extent to which a student-athlete's sex, season status, and level of contact predicted his or her intentions to report a concussion within each profile was investigated. Five unique student-athlete profiles emerged, including 1 profile that was most risky and another that was least risky. Females had significantly higher odds of being in the least risky profile. Those participating in collision sports had significantly higher odds of being in the top 2 most risky profiles. Contact-sport and in-season athletes were less likely to be in the least risky profile. With a better understanding of student-athlete profiles, athletic trainers have an opportunity to encourage concussion disclosure. Prompt disclosure would allow student-athletes to begin the return-to-play protocol in a more timely manner. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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