Gregory A. Walker
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Gregory A. Walker has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- David Robert Howell
Sports Medicine Center, Children's Hospital Colorado, Aurora, Colorado
3 shared publications - Julie C. Wilson
University of Colorado School of Medicine
3 shared publications - Corrine N. Seehusen
Sports Medicine Center, Children's Hospital of Colorado, Aurora, CO, USA
2 shared publications - Aaron J. Provance
Childrens Hosp Colorado, Sports Med Ctr, Aurora, CO USA
1 shared publication - Aubrey Armento
Children’s Hospital Colorado, Colorado, United States
1 shared publication - Corrine N. Seehusen
Sports Medicine Center, Children’s Hospital Colorado, Aurora, CO 80045, USA
1 shared publication
Latest Publications
- 28 August 2021
- Published by Elsevier in Physical Therapy in Sport
- Vol. 52, 132-139
Neuromuscular training after concussion to improve motor and psychosocial outcomes: A feasibility trial
- 28 August 2021
- Published by Elsevier in Physical Therapy in Sport
- Vol. 52, 132-139
Neuromuscular training after concussion to improve motor and psychosocial outcomes: A feasibility trial
- Open Access
- 9 July 2021
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (14) , 7373
More Physical Activity after Concussion Is Associated with Faster Return to Play among Adolescents
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 (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.
- 9 July 2021
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (14) , 7373
Open AccessMore Physical Activity after Concussion Is Associated with Faster Return to Play among Adolescents
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 (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.
- 12 August 2020
- Published by SAGE Publications in Clinical Pediatrics
- Vol. 60 (1) , 50-55
Family Affluence Relationship to Sports Specialization in Youth Athletes
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.
- 12 August 2020
- Published by SAGE Publications in Clinical Pediatrics
- Vol. 60 (1) , 50-55
Family Affluence Relationship to Sports Specialization in Youth Athletes
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.