A Standardized Buffalo Concussion Treadmill Test After Sport-Related Concussion in Youth: Do Matter?

被引:3
作者
Morrison, Heidi R. [1 ]
Miutz, Lauren N. [1 ]
Emery, Carolyn A. [1 ,2 ,3 ,4 ,5 ,6 ]
Smirl, Jonathan D. [1 ,2 ,3 ,7 ]
机构
[1] Univ Calgary, Sport Injury Prevent Res Ctr, Calgary, AB, Canada
[2] Univ Calgary, Hotchkiss Brain Inst, Calgary, AB, Canada
[3] Univ Calgary, Alberta Childrens Hosp, Res Inst, Calgary, AB, Canada
[4] Univ Calgary, Dept Psychol & Neurosci, Calgary, AB, Canada
[5] Univ Calgary, Dept Paediat, Calgary, AB, Canada
[6] Univ Calgary, Community Hlth Sci, Calgary, AB, Canada
[7] Univ Calgary, Libin Cardiovasc Inst, Calgary, AB, Canada
关键词
mild traumatic brain injuries; adolescents; athletes; actigraphy; PHYSICAL-ACTIVITY; SEDENTARY BEHAVIOR; EXERCISE; ACCELEROMETER; CALIBRATION; VALIDATION; CHILDREN; RETURN;
D O I
10.4085/527-20
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Context: Current guidelines for recovery after sport-relat-ed concussion (SRC) recommend 24 to 48 hours of rest, followed by a gradual return to activity with heart rate (HR) maintained below the symptom threshold. In addition, moni-toring physical activity (PA) after SRC using ActiGraph accelerometers can provide further objective insight into the amounts of activity associated with recovery trajectories. Cutpoint algorithms for these devices allow minute-by-minute PA to be classified into intensity domains; however, research -ers have shown that different algorithms used to evaluate the same healthy participant dataset can produce various classi-fications. Objective: To identify the more physiologically appropriate cutpoint algorithm (Evenson or Romanzini) to analyze ActiGraph data among concussed adolescents in comparison with their HR responses on the Buffalo Concussion Treadmill Test (BCTT). Design: Prospective cohort study. Setting: University sport concussion clinic. Patients or Other Participants: Eleven high school stu-dents (5 boys, 6 girls; median [range] age = 16 years [15-17 years], height = 177.8 cm [157.5-198.1 cm], mass = 67 kg [52- 98 kg], body mass index = 22 [17-31]) involved in high-risk sports who sustained a physician-diagnosed SRC. Main Outcome Measure(s): Evenson and Romanzini algo-rithm PA intensity domains via ActiGraph data and HR during the BCTT. Results: We observed differences in PA time classified as moderate (P = .003) and vigorous (P = .004) intensities between algorithms but no difference in PA time classified as light intensity (P = .48). The Evenson algorithm classified most of the time as moderate-intensity PA (mean = 57.03%, range = 0.00%- 94.12%), whereas the Romanzini algorithm classified virtually all PA as vigorous intensity (mean = 88.25%, range = 2.94%- 97.06%]). Physical activity based on HR (stages 1-7 = 20%- 39% HR reserve [HRR], stages 8-13 = 40%-59% HRR, stages >14 = 60%-85% HRR) indicated the BCTT primarily involved light to moderate intensity and, therefore, was better represent-ed by the Evenson algorithm. Conclusions: The Evenson algorithm better characterized the HR response during a standardized exercise test in concussed individuals and, thus, should be used to analyze ActiGraph PA data in pediatric populations with concussion.
引用
收藏
页码:1300 / 1305
页数:6
相关论文
共 26 条
[1]   A NOMOGRAM FOR CALCULATION OF AEROBIC CAPACITY (PHYSICAL FITNESS) FROM PULSE RATE DURING SUBMAXIMAL WORK [J].
ASTRAND, PO ;
RYHMING, I .
JOURNAL OF APPLIED PHYSIOLOGY, 1954, 7 (02) :218-221
[2]   Effects of Varying Epoch Lengths, Wear Time Algorithms, and Activity Cut-Points on Estimates of Child Sedentary Behavior and Physical Activity from Accelerometer Data [J].
Banda, Jorge A. ;
Haydel, K. Farish ;
Davila, Tania ;
Desai, Manisha ;
Bryson, Susan ;
Haskell, William L. ;
Matheson, Donna ;
Robinson, Thomas N. .
PLOS ONE, 2016, 11 (03)
[3]   Individual calibration of accelerometers in children and their health-related implications [J].
Boddy, Lynne M. ;
Cunningham, Conor ;
Fairclough, Stuart J. ;
Murphy, Marie H. ;
Breslin, Gavin ;
Foweather, Lawrence ;
Dagger, Rebecca M. ;
Graves, Lee E. F. ;
Hopkins, Nicola D. ;
Stratton, Gareth .
JOURNAL OF SPORTS SCIENCES, 2018, 36 (12) :1340-1345
[4]   PSYCHOPHYSICAL BASES OF PERCEIVED EXERTION [J].
BORG, GAV .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1982, 14 (05) :377-381
[5]  
Canadian Society for Exercise Physiology, 2013, CSEP PHYS ACT TRAIN
[6]   Validity and Reproducibility of Motion Sensors in Youth: A Systematic Update [J].
De Vries, Sanne I. ;
Van Hirtum, Helmi W. J. E. M. ;
Bakker, Ingrid ;
Hopman-Rock, Marijke ;
Hirasing, Remy A. ;
Van Mechelen, Willem .
MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2009, 41 (04) :818-827
[7]   Cross-validation of Actigraph derived accelerometer cut-points for assessment of sedentary behaviour and physical activity in children aged 8-11 years [J].
Duncan, Michael J. ;
Eyre, Emma L. J. ;
Cox, Val ;
Roscoe, Clare M. P. ;
Faghy, Mark A. ;
Tallis, Jason ;
Dobell, Alexandra .
ACTA PAEDIATRICA, 2020, 109 (09) :1825-1830
[8]   Calibration of two objective measures of physical activity for children [J].
Evenson, Kelly R. ;
Catellier, Diane J. ;
Gill, Karminder ;
Ondrak, Kristin S. ;
McMurray, Robert G. .
JOURNAL OF SPORTS SCIENCES, 2008, 26 (14) :1557-1565
[9]   Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry [J].
Guinhouya, B. C. ;
Samouda, H. ;
de Beaufort, C. .
PUBLIC HEALTH, 2013, 127 (04) :301-311
[10]  
KARVONEN MJ, 1957, ANN MED EXP BIOL FEN, V35, P307