Analyzing and Predicting Concussion Reporting Behaviors of Student Athletes
Session Number
Project ID: BHVSO 01
Advisor(s)
Dr. Katherine Brown, Augustana College
Discipline
Behavioral and Social Sciences
Start Date
17-4-2024 8:55 AM
End Date
17-4-2024 9:10 AM
Abstract
Sports-related concussion reporting is an area of study with high interest, as rates of concussion reporting are estimated to be around 50% for collegiate student athletes. Several factors are believed to contribute to underreporting of concussions among collegiate athletes. Some variables that have been studied are sport played, concussion education, sex, concussion attitudes and beliefs, pressure from teammates or coaches, symptom severity, and year in college. This study aims to study student athletes from a small, private college to understand the factors and variables that affect their concussion reporting behaviors. A multinomial logistic regression model with cross validation was created to predict the probability of different levels of reporting outcomes: n reporting (reporting no head injuries), some reporting (reporting only some head injuries), and all reporting (reporting all head injuries) based on predictor variables. The purpose of this study is to understand the behavioral reasons why student athletes report or do not report concussions or other head injuries.
Analyzing and Predicting Concussion Reporting Behaviors of Student Athletes
Sports-related concussion reporting is an area of study with high interest, as rates of concussion reporting are estimated to be around 50% for collegiate student athletes. Several factors are believed to contribute to underreporting of concussions among collegiate athletes. Some variables that have been studied are sport played, concussion education, sex, concussion attitudes and beliefs, pressure from teammates or coaches, symptom severity, and year in college. This study aims to study student athletes from a small, private college to understand the factors and variables that affect their concussion reporting behaviors. A multinomial logistic regression model with cross validation was created to predict the probability of different levels of reporting outcomes: n reporting (reporting no head injuries), some reporting (reporting only some head injuries), and all reporting (reporting all head injuries) based on predictor variables. The purpose of this study is to understand the behavioral reasons why student athletes report or do not report concussions or other head injuries.