Gregory Walker

Dr. Gregory Walker

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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CSCorrine N. Seehusen
Corrine N. Seehusen
JWJulie C. Wilson
Julie C. Wilson
GWGregory Walker
Gregory Walker
SRSarah E. Reinking
Sarah E. Reinking
DHDavid R Howell
David R Howell
Concussion management has evolved to de-emphasize rest in favor of early introduction of post-injury physical activity. However, the optimal quantity, frequency and intensity of physical activity are unclear. Our objective was to examine the association between objective physical activity metrics and clinical recovery after concussion. We prospectively enrolled a cohort of 32 youth athletes with concussion, evaluated within 14 days of injury and after return-to-play (RTP) clearance. For two weeks after enrollment, we quantified steps/day and exercise frequency, duration, and intensity via wrist-worn actigraphy. We grouped participants by RTP clearance timing (<28 days vs. ≥28 days). Seventeen (53%) participants required ≥28 days post-concussion for RTP clearance. Groups were similar in age (14.9 ± 1.9 vs. 15.4 ± 1.5 years; p = 0.38), proportion of females (47% vs. 40%; p = 0.69), and concussion history (59% vs. 47%; p = 0.49). During the study period, the RTP ≥ 28 days group took fewer steps/day (8158 ± 651 vs. 11,147 ± 4013; p = 0.02), exercised fewer days/week (2.9 ± 2.4 vs. 5.0 ± 1.9 days/week; p = 0.01), and exercised fewer total minutes/week (117 ± 122 vs. 261 ± 219 min/week; p = 0.03). Furthermore, we observed ≥10,251 average steps/day, ≥4 exercise sessions/week, and exercising ≥134 total minutes/week were optimal cutpoints to distinguish between groups. These findings support the benefit of physical activity during concussion recovery.

28 August 2021 in Physical Therapy in Sport
Verified
Journal Article
Closed access
DHDavid R Howell
David R Howell
CSCorrine N. Seehusen
Corrine N. Seehusen
GWGregory Walker
Gregory Walker
SRSarah Reinking
Sarah Reinking
JWJulie C. Wilson
Julie C. Wilson

12 August 2020 in Clinical Pediatrics
Verified
Journal Article
Closed access
PDF file
GWGregory Walker
Gregory Walker
CSCorrine N. Seehusen
Corrine N. Seehusen
AAAubrey Armento
Aubrey Armento
APAaron J. Provance
Aaron J. Provance
JWJulie C. Wilson
Julie C. Wilson
DHDavid R Howell
David R Howell
Our objective was to examine the association between participant-reported family affluence and sport specialization level. We conducted a cross-sectional investigation of adolescent athletes. Specifically, participants completed a level of sport specialization (low/moderate/high) questionnaire and the Family Affluence Scale. The majority (52%) of the 195 youth athlete participants reported low, 33% reported moderate, and 15% reported high sport specialization. Sport specialization groups were similar in age (mean = 15.3 ± 1.6 years), proportion of females (49%), and time spent training (mean = 11.9 ± 5.0 hours per week). The high sport specialization group reported significantly greater family affluence than the low sport specialization group (Family Affluence Scale = 10.4 ± 1.7 vs 9.2 ± 1.9; P = .005). After covariate adjustment, higher levels of sport specialization remained significantly associated with greater family affluence (β = 0.48, 95% confidence interval = 0.11-0.86). Understanding the relationship between family affluence and sports specialization affords an opportunity to better identify and monitor populations likely to specialize in a single sport during high school.