Breton M Asken1, Zachary M Houck1, Russell M Bauer1, James R Clugston2. 1. Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States. 2. Department of Community Health and Family Medicine, University Athletic Association, University of Florida, Gainesville, FL, United States.
Abstract
OBJECTIVE: The Sport Concussion Assessment Tool (SCAT), fifth Edition, Symptom Evaluation (S5SE) differs from previous versions by having examinees report trait (i.e. "typical" feelings) as opposed to state (i.e., "how you feel right now") concussion-like symptoms at baseline. This study assessed differences among, and convergent validity of, scores on the S5SE, SCAT3 Symptom Evaluation (S3SE), and the Brief Symptom Inventory (BSI-18). METHODS: A total of 113 University of Florida varsity athletes completed symptom questionnaires on the same day in a counterbalanced administration. The final sample consisted of 94 participants (mean age ± SD = 18.4 ± 0.8 years, 57% male, 65% white) from 17 sports. We assessed convergent validity using Spearman rank-order correlations. Within-participant differences were analyzed with Wilcoxon Signed-Rank tests. We qualitatively described free-response answers to the S5SE question that asks, "if not feeling 100%, why?". RESULTS: S5SE total severity score demonstrated adequate convergent validity with both the S3SE (rho = .407, p < .001) and BSI-18 (rho = .432, p < .001). Domain-specific analyses indicated variable convergent validity (rho < 0.4 to rho > 0.6). Severity scores did not differ between the S3SE and S5SE (p = .500), but 24.5% of participants reported S3SE > S5SE and 34.0% S5SE > S3SE. Three themes emerged from qualitative examination of reasons for "not feeling 100%": (1) tiredness/sleep, (2) adjustment difficulties, and (3) academic/athletic stress. CONCLUSIONS: Adequate convergent validity exists between SCAT5 and SCAT3 symptom severity in collegiate athletes. However, most examinees report different baseline symptom severity when asked to describe their trait (S5SE) versus state symptoms (S3SE). Clinicians should consider using the new SCAT5 Symptom Evaluation as a screening tool for identifying otherwise healthy or "undiagnosed" individuals who would benefit from targeted interventions.
OBJECTIVE: The Sport Concussion Assessment Tool (SCAT), fifth Edition, Symptom Evaluation (S5SE) differs from previous versions by having examinees report trait (i.e. "typical" feelings) as opposed to state (i.e., "how you feel right now") concussion-like symptoms at baseline. This study assessed differences among, and convergent validity of, scores on the S5SE, SCAT3 Symptom Evaluation (S3SE), and the Brief Symptom Inventory (BSI-18). METHODS: A total of 113 University of Florida varsity athletes completed symptom questionnaires on the same day in a counterbalanced administration. The final sample consisted of 94 participants (mean age ± SD = 18.4 ± 0.8 years, 57% male, 65% white) from 17 sports. We assessed convergent validity using Spearman rank-order correlations. Within-participant differences were analyzed with Wilcoxon Signed-Rank tests. We qualitatively described free-response answers to the S5SE question that asks, "if not feeling 100%, why?". RESULTS: S5SE total severity score demonstrated adequate convergent validity with both the S3SE (rho = .407, p < .001) and BSI-18 (rho = .432, p < .001). Domain-specific analyses indicated variable convergent validity (rho < 0.4 to rho > 0.6). Severity scores did not differ between the S3SE and S5SE (p = .500), but 24.5% of participants reported S3SE > S5SE and 34.0% S5SE > S3SE. Three themes emerged from qualitative examination of reasons for "not feeling 100%": (1) tiredness/sleep, (2) adjustment difficulties, and (3) academic/athletic stress. CONCLUSIONS: Adequate convergent validity exists between SCAT5 and SCAT3 symptom severity in collegiate athletes. However, most examinees report different baseline symptom severity when asked to describe their trait (S5SE) versus state symptoms (S3SE). Clinicians should consider using the new SCAT5 Symptom Evaluation as a screening tool for identifying otherwise healthy or "undiagnosed" individuals who would benefit from targeted interventions.
Authors: Kathryn L Van Pelt; C Dain Allred; Rachel Brodeur; Kenneth L Cameron; Darren E Campbell; Christopher J D'Lauro; Xuming He; Megan N Houston; Brian R Johnson; Tim F Kelly; Gerald McGinty; Sean K Meehan; Patrick G O'Donnell; Karen Y Peck; Steven J Svoboda; Paul Pasquina; Thomas McAllister; Michael McCrea; Steven P Broglio Journal: J Athl Train Date: 2020-07-01 Impact factor: 2.860
Authors: Katherine E Miller; James P MacDonald; Lindsay Sullivan; Lakshmi Prakruthi Rao Venkata; Junxin Shi; Keith Owen Yeates; Su Chen; Enas Alshaikh; H Gerry Taylor; Amanda Hautmann; Nicole Asa; Daniel M Cohen; Thomas L Pommering; Elaine R Mardis; Jingzhen Yang Journal: Front Public Health Date: 2022-05-30