Literature DB >> 33481016

A Standardized Buffalo Concussion Treadmill Test Following Sport-Related Concussion in Youth: Do ActiGraph Algorithms Matter?

Heidi R Morrison1, Lauren N Miutz1, Carolyn A Emery1,2,3,4,5,6, Jonathan D Smirl1,2,3,7.   

Abstract

CONTEXT: Current recovery guidelines following sport-related concussion (SRC) include 24-48 hours of rest followed by gradual return-to-activity with heart rate (HR) maintained below symptom threshold. Additionally, the monitoring of physical activity (PA) post-SRC using ActiGraph accelerometers can provide further objective insight on amounts of activity associated with recovery trajectories. Cut-point algorithms for these devices allow minute-by-minute PA to be classified into intensity domains; however, studies have shown different algorithms employed on the same healthy participant dataset can produce varying classifications.
OBJECTIVE: To identify the most physiologically appropriate cut-point algorithm (Evenson or Romanzini) to analyze ActiGraph data in concussed youth with comparisons to HR response on the Buffalo Concussion Treadmill Test (BCTT).
DESIGN: Prospective cohort study.
SETTING: Sport-concussion clinic within a university setting. PATIENTS OR OTHER PARTICIPANTS: Eleven high-school students (5 male, 6 female; median [range] age =16 years [15-17], height = 177.8 cm [157.5-198.1], weight = 67 kg [52-98], body mass index = 22 kg/m2 [17-31]) involved in high-risk sport who sustained a physician diagnosed SRC. MAIN OUTCOME MEASURE(S): Evenson and Romanzini algorithm PA intensity domains via ActiGraph data and HR during the BCTT.
RESULTS: There were differences in moderate (P = .001) and vigorous (P = .002) intensities between algorithms, but no difference in light (P = .548). Evenson classified most of the time as moderate intensity (57.03% [0.00-94.12%]), whereas Romanzini classified virtually all PA as vigorous (88.25% [2.94-97.06%]). PA based on HR (stages 1-7: 20-39% HR reserve (HRR), stages 8-13: 40-59% HRR, stages 14 and above: 60-85% HRR) indicated the BCTT primarily involves light-to-moderate intensity, and therefore is better represented by the Evenson algorithm.
CONCLUSIONS: The Evenson algorithm better characterizes the HR response during a standardized exercise test in concussed individuals and therefore should be used to analyze ActiGraph PA data in a concussed paediatric population. © by the National Athletic Trainers' Association, Inc.

Entities:  

Keywords:  Buffalo Concussion Treadmill Test; actigraphy; adolescent; sport-related concussion

Year:  2021        PMID: 33481016      PMCID: PMC8675320          DOI: 10.4085/527-20

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  24 in total

1.  An objective method for measurement of sedentary behavior in 3- to 4-year olds.

Authors:  John J Reilly; Jennifer Coyle; Louise Kelly; Genevieve Burke; Stanley Grant; James Y Paton
Journal:  Obes Res       Date:  2003-10

2.  Defining accelerometer thresholds for activity intensities in adolescent girls.

Authors:  Margarita S Treuth; Kathryn Schmitz; Diane J Catellier; Robert G McMurray; David M Murray; M Joao Almeida; Scott Going; James E Norman; Russell Pate
Journal:  Med Sci Sports Exerc       Date:  2004-07       Impact factor: 5.411

Review 3.  Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.

Authors:  Louise C Mâsse; Bernard F Fuemmeler; Cheryl B Anderson; Charles E Matthews; Stewart G Trost; Diane J Catellier; Margarita Treuth
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

Review 4.  Validity and reproducibility of motion sensors in youth: a systematic update.

Authors:  Sanne I De Vries; Helmi W J E M Van Hirtum; Ingrid Bakker; Marijke Hopman-Rock; Remy A Hirasing; Willem Van Mechelen
Journal:  Med Sci Sports Exerc       Date:  2009-04       Impact factor: 5.411

Review 5.  Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry.

Authors:  B C Guinhouya; H Samouda; C de Beaufort
Journal:  Public Health       Date:  2013-04-10       Impact factor: 2.427

Review 6.  Exercise is Medicine for Concussion.

Authors:  John J Leddy; Mohammad N Haider; Michael Ellis; Barry S Willer
Journal:  Curr Sports Med Rep       Date:  2018-08       Impact factor: 1.733

7.  Reliability of a graded exercise test for assessing recovery from concussion.

Authors:  John J Leddy; John G Baker; Karl Kozlowski; Leslie Bisson; Barry Willer
Journal:  Clin J Sport Med       Date:  2011-03       Impact factor: 3.638

Review 8.  Methods of prescribing relative exercise intensity: physiological and practical considerations.

Authors:  Theresa Mann; Robert Patrick Lamberts; Michael Ian Lambert
Journal:  Sports Med       Date:  2013-07       Impact factor: 11.136

9.  The Association Between Moderate and Vigorous Physical Activity and Time to Medical Clearance to Return to Play Following Sport-Related Concussion in Youth Ice Hockey Players.

Authors:  Justin T Lishchynsky; Trevor D Rutschmann; Clodagh M Toomey; Luz Palacios-Derflingher; Keith O Yeates; Carolyn A Emery; Kathryn J Schneider
Journal:  Front Neurol       Date:  2019-06-06       Impact factor: 4.003

Review 10.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

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