Dr. Mark Tremblay and Dr. Patricia Longmuir are among the authors on a paper, “Validation of Accelerometer Prediction Equations in Children with Chronic Disease,” that was recently published in Pediatric Exercise Science. Citation details and a summary of the paper are below.
Stephens S, Takken T, Esliger DW, Pullenayegum E, Beyene J, Tremblay M, Schneiderman J, Biggar D, Longmuir P, McCrindle B, Abad A, Ignas D, Van Der Net J, Feldman B. Validation of Accelerometer Prediction Equations in Children with Chronic Disease. Pediatr Exerc Sci. 2016 Feb;28(1):117-32.
ABSTRACT: The purpose of this study was to assess the criterion validity of existing accelerometer-based energy expenditure (EE) prediction equations amongchildren with chronic conditions, and to develop new prediction equations. Children with congenital heart disease (CHD), cystic fibrosis (CF), dermatomyositis (JDM), juvenile arthritis (JA), inherited muscle disease (IMD), and hemophilia (HE) completed 7 tasks while EE was measured using indirect calorimetry with counts determined by accelerometer. Agreement between predicted EE and measured EE was assessed. Disease-specific equations and cut points were developed and cross-validated. In total, 196 subjects participated. One participant dropped out before testing due to time constraints, while 15 CHD, 32 CF, 31 JDM, 31 JA, 30 IMD, 28 HE, and 29 healthy controls completed the study. Agreement between predicted and measured EE varied across disease group and ranged from (ICC) .13-.46. Disease-specific prediction equations exhibited a range of results (ICC .62-.88) (SE 0.45-0.78). In conclusion, poor agreement was demonstrated using current prediction equations in children with chronicconditions. Disease-specific equations and cut points were developed.
