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Id : 2666

Author :
Carson T.L.; Hazzard V.M.; Finn E.; Lipson S.K.

Title


Participation in varsity sports, dance, and Greek life associated with menstrual disturbance in a national sample of female college students

Reference :


Carson T.L.; Hazzard V.M.; Finn E.; Lipson S.K. Participation in varsity sports, dance, and Greek life associated with menstrual disturbance in a national sample of female college students,Journal of American College Health 70 8

Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141935925&doi=10.1080%2f07448481.2020.1862852&partnerID=40&md5=3b4961f1e99c394fd521b978f42176ec
Abstract Objective: The objective of this study was to identify university-sponsored activities associated with increased odds of menstrual disturbance among female college students. Participants: The sample included 3,277 female-identifying students at 12 colleges and universities participating in the Healthy Bodies Study during the 2013–2014 and 2014–2015 academic years. Methods: Crude and adjusted logistic regression models were run to report odds of any menstrual disturbance and amenorrhea (AMN) for participants in sports, dance, and Greek Life. Survey weights were used to account for response bias. Results: In the adjusted models, participation in varsity sport (OR = 1.82, CI 1.37, 2.37), dance (OR = 1.68, CI 1.37, 2.05) and Greek life (OR= 2.12, CI 0.13,0.18) was significantly associated with increased odds of menstrual disturbance, compared to non-participants. Conclusions: Findings suggest additional need for prevention and intervention programming against menstrual disturbance in varsity sports, dance, and Greek life activities. © 2022 Taylor & Francis Group, LLC.



Results:


                            Impact                            

                   Certainity                   

Health and Wellbeing

0.9956
Urban and Territorial Renovation 0.0026
Peoples Engagement and Participation 0.0066
Note: Due to lack of computing power, results have been previously created and saved in database