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Full-Text Articles in Kinesiology
Investigation Of Eating Disorder Risk And Body Image Dissatisfaction Among Female Competitive Cheerleaders, Allison B. Smith, Jennifer L. Gay, Eva V. Monsma, Shawn M. Arent, Mark A. Sarzynski, Dawn M. Emerson, Toni M. Torres-Mcgehee
Investigation Of Eating Disorder Risk And Body Image Dissatisfaction Among Female Competitive Cheerleaders, Allison B. Smith, Jennifer L. Gay, Eva V. Monsma, Shawn M. Arent, Mark A. Sarzynski, Dawn M. Emerson, Toni M. Torres-Mcgehee
Faculty Publications
Social agents associated with cheerleading environments are increasingly linked to body image dissatisfaction (BID) and eating disorders (ED). This study examined ED risk across team type, squad type, and position. An additional purpose determined BID in clothing type (daily clothing, midriff uniform, and full uniform), and meta-perceptions from the perspective of peers (MP peers), parents (MP parents), and coaches (MP coaches). Female cheerleaders ( = 268) completed an online survey which included demographics, the Eating Attitudes Test-26, and pathogenic behavior questions. Body image perceptions were assessed by using the Sex-Specific Figural Stimuli Silhouettes. Overall, 34.4% of cheerleaders ( = 268; …
Validation Of A Machine Learning Brain Electrical Activity-Based Index To Aid In Diagnosing Concussion Among Athletes, Jeffery J. Bazarian, Robert J. Elbin, Douglas J. Casa, Gillian A. Hotz, Christopher Neville, Rebecca M. Lopez, David M. Schnyer, Susan Yeargin Ph.D., Atc
Validation Of A Machine Learning Brain Electrical Activity-Based Index To Aid In Diagnosing Concussion Among Athletes, Jeffery J. Bazarian, Robert J. Elbin, Douglas J. Casa, Gillian A. Hotz, Christopher Neville, Rebecca M. Lopez, David M. Schnyer, Susan Yeargin Ph.D., Atc
Faculty Publications
Importance An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Objective To validate the classification accuracy of a previously derived, machine learning, multimodal, brain electrical activity–based Concussion Index in an independent cohort of athletes with concussion.
Design, Setting, and Participants This prospective diagnostic cohort study was conducted at 10 clinical sites (ie, US universities and high schools) between February 4, 2017, and March 20, 2019. A cohort comprising a consecutive sample of 207 athletes aged 13 to 25 years with …