Can Physical Characteristics and Sports Bra Use Predict Exercise-Induced Breast Pain in Elite Female Athletes?. Issue 6 (November 2021)
- Record Type:
- Journal Article
- Title:
- Can Physical Characteristics and Sports Bra Use Predict Exercise-Induced Breast Pain in Elite Female Athletes?. Issue 6 (November 2021)
- Main Title:
- Can Physical Characteristics and Sports Bra Use Predict Exercise-Induced Breast Pain in Elite Female Athletes?
- Authors:
- Brisbine, Brooke R.
Steele, Julie R.
Phillips, Elissa J.
McGhee, Deirdre E. - Abstract:
- Abstract : Objective: To evaluate whether a simple 4-factor model using self-reported data could be used to predict exercise-induced breast pain in elite female athletes. Design: Survey study. Setting: Online or hard-copy surveys completed at sporting competitions and training facilities around Australia. Participants: Four hundred ninety female athletes competing nationally or internationally across 49 sports. Independent Variables: A binomial logistic regression analysis was used to evaluate the strength of a predictive model that included 2 continuous independent variables (age and body mass index) and 2 binary independent variables (breast size and sports bra use). Odds ratios were also calculated to determine the likelihood of an athlete reporting exercise-induced breast pain in association with each of the 4 variables. Main Outcome Measures: Exercise-induced breast pain was the binary dependent variable. Results: The model incorporating athlete age, breast size, body mass index, and sports bra use was found to be statistically significant, but weak, in its ability to predict exercise-induced breast pain in elite female athletes (correctly identified 66% of athletes). For every 1-year increase in age, a significant 2.6% increase in the likelihood of experiencing exercise-induced breast pain was observed. Athletes with medium-to-hypertrophic sized breasts were 5.5 times more likely to experience exercise-induced breast pain than athletes with small breasts. Conclusions:Abstract : Objective: To evaluate whether a simple 4-factor model using self-reported data could be used to predict exercise-induced breast pain in elite female athletes. Design: Survey study. Setting: Online or hard-copy surveys completed at sporting competitions and training facilities around Australia. Participants: Four hundred ninety female athletes competing nationally or internationally across 49 sports. Independent Variables: A binomial logistic regression analysis was used to evaluate the strength of a predictive model that included 2 continuous independent variables (age and body mass index) and 2 binary independent variables (breast size and sports bra use). Odds ratios were also calculated to determine the likelihood of an athlete reporting exercise-induced breast pain in association with each of the 4 variables. Main Outcome Measures: Exercise-induced breast pain was the binary dependent variable. Results: The model incorporating athlete age, breast size, body mass index, and sports bra use was found to be statistically significant, but weak, in its ability to predict exercise-induced breast pain in elite female athletes (correctly identified 66% of athletes). For every 1-year increase in age, a significant 2.6% increase in the likelihood of experiencing exercise-induced breast pain was observed. Athletes with medium-to-hypertrophic sized breasts were 5.5 times more likely to experience exercise-induced breast pain than athletes with small breasts. Conclusions: Although the current model was not sensitive enough for use by clinicians and coaches, age and breast size were both identified as critical variables in the prediction of exercise-induced breast pain. Future research is encouraged to investigate whether incorporating additional variables such body fat percentage, bra fit, and other relevant factors can add strength to the model. … (more)
- Is Part Of:
- Clinical journal of sport medicine. Volume 31:Issue 6(2021)
- Journal:
- Clinical journal of sport medicine
- Issue:
- Volume 31:Issue 6(2021)
- Issue Display:
- Volume 31, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 31
- Issue:
- 6
- Issue Sort Value:
- 2021-0031-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- female -- sports -- questionnaire -- mastalgia -- predictive model
Sports medicine -- Periodicals
617.1027 - Journal URLs:
- http://www.cjsportmed.com/ ↗
http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&PAGE=toc&D=ovft&AN=00042752-000000000-00000 ↗
http://journals.lww.com/cjsportsmed/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/JSM.0000000000000831 ↗
- Languages:
- English
- ISSNs:
- 1050-642X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.294300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25051.xml