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Crowley, Eric M.

Mayo Clinic

Mayo Clinic

Citations 3

Socioeconomic status and concussion recovery in young athletes
Kreitner, Liga , Crowley, Eric M., Hentz, Roland, Soma, David , Kreitner, Liga A , Hentz, Roland C, Soma, David B, Wi, Chung‐Il

The Physician and Sportsmedicine | November 13, 2025 | Volume: 53 | Issue: 6 | Pages: 500-506

10.1080/00913847.2025.2590420 Get It

Evaluating the Association Between Sociodemographic and Health Variables With Baseline Concussion Testing in Young Athletes
Kreitner, Liga , Crowley, Eric M., Weaver, Amy L. , Soma, David , Crowley, Eric, Kreitner, Liga A , Wi, Chung‐Il

Orthopaedic Journal of Sports Medicine | December 11, 2023 | Volume: 11 | Issue: 12 | Pages: No page available

10.1177/23259671231214222 Get It

Background: Baseline concussion testing can be helpful to perform when providing concussion care for young athletes. To appropriately interpret these data, it is important to understand how certain factors may affect concussion testing. Purpose: To examine the relationship of sociodemographic and health variables with baseline concussion testing in young athletes. Study Design: Cross-sectional study; Level of evidence, 3. Methods: High school and middle school athletes competing in sports or positions at high risk for concussion (football, soccer, ice hockey, wrestling, lacrosse, and pitchers/catchers in baseball/softball) during the 2020-2021 or 2021-2022 academic years completed annual baseline concussion testing and were included in the study. Baseline data included self-reported demographic and medical information, a graded symptom checklist, the Standardized Assessment of Concussion, and the King-Devick test. A validated measure, HOUSES (HOUsing-based index of SocioEconomic Status), was used to determine participants’ socioeconomic status (SES) by linking personal address information to publicly available property data. Multivariable linear regression models were fit to analyze the relationship of concussion baseline testing to sociodemographic and health variables. Results: Among the eligible 2747 athletes (mean age, 15.4 ± 1.5 years; 73.6% male), the mean Standardized Assessment of Concussion score was 26.7 ± 2.0 and the mean best King-Devick test time was 50.3 ± 10.1 seconds. Higher baseline symptom severity scores were related to lower SES ( P = .002). A lower (ie, poorer) mean Standardized Assessment of Concussion score was significantly associated with the following in the multivariable model: male sex ( P < .001), younger age ( P < .001), Black/African American race ( P = .029), Hispanic ethnicity ( P = .016), previous diagnosis of learning disorder or attention-deficit hyperactivity disorder ( P < .001), and lower SES ( P = .003). A higher (ie, poorer) mean King-Devick test time was related to younger age, previous diagnosis of a learning disorder or attention-deficit hyperactivity disorder, and lower SES (all P < .001). Conclusion: Baseline concussion testing was found to be associated with certain sociodemographic variables and underlying health conditions in high school and middle school athletes.
Sex Differences in Ultrasound-Based Muscle Size and Mechanical Properties of the Cervical-Flexor and -Extensor Muscles
Nagai, Takashi , Schilaty, Nathan D. , Crowley, Eric M., Hewett, Timothy E. , Nagai, Takashi , Schilaty, Nathan D , Krause, David A.

Journal of Athletic Training | January 22, 2020 | Volume: 55 | Issue: 3 | Pages: 282-288

10.4085/1062-6050-482-18 Get It

Context Neck pain (NP), neck injuries, and concussions are more prevalent in female athletes than in their male counterparts. Females exhibit less neck girth, strength, and stiffness against a perturbation. As part of the clinical examination for individuals with NP, ultrasound (US)–based imaging of the cervical muscles has become common. Muscle size or thickness and stiffness can be measured with US-based B-mode and shear-wave elastography (SWE), respectively. Information on reliability, normative values, and sex differences based on US-based muscle size or thickness and stiffness in young and athletic individuals is limited. Objective To evaluate sex differences in US-based muscle size or thickness and biomechanical properties of the cervical-flexor and -extensor muscles. Design Cross-sectional study. Setting Laboratory. Patients or Other Participants A total of 13 women (age = 23.7 ± 1.9 years, height = 167.1 ± 6.1 cm, mass = 63.8 ± 5.6 kg) and 11 men (age = 25.6 ± 4.9 years, height = 178.7 ± 8.3 cm, mass = 78.9 ± 12.0 kg). Main Outcome Measure(s) The same examiner collected all measures, using US B-mode to scan the cross-sectional area and thickness of the longus colli (LC), sternocleidomastoid (SCM), cervical-extensor muscles, and upper trapezius (UT) muscle. The US SWE-mode was used to measure the stiffness of the SCM and UT. Independent t tests or Mann-Whitney U tests were calculated to determine sex differences. The intraclass correlation coefficient (ICC) measured intrarater test-retest reliability. Results Men had thicker SCMs than women (P = .01). No sex differences were present for longus colli cross-sectional area, cervical-extensor muscle thickness, or UT thickness (P &gt; .05). In addition, no sex differences were evident for SCM (P = .302) or UT (P = .703) SWE stiffness. Reliability was good to excellent (ICC = 0.715–0.890) except for SCM SWE stiffness (ICC = 0.554). Conclusions The only sex difference was in SCM thickness. However, smaller SCMs in women did not result in less SCM SWE stiffness. We provided normative values for US-based imaging of the cervical-flexor and -extensor muscles in young and athletic men and women.