%0 Journal Article
%T Reliability and minimal detectable change for a smartphone-based motor-cognitive assessment: implications for concussion management
%J Journal of applied biomechanics
%D 2021
%A Howell, David R.
%A Seehusen, Corrine N.
%A Wingerson, Mathew J.
%A Wilson, Julie C.
%A Lynall, Robert C.
%A Lugade, Vipul
%V ePub
%N ePub
%P ePub-ePub
%X Our purpose was to investigate the reliability and minimal detectable change characteristics of a smartphone-based assessment of single- and dual-task gait and cognitive performance. Uninjured adolescent athletes (n = 17; mean age = 16.6, SD = 1.3 y; 47% female) completed assessments initially and again 4 weeks later. The authors collected data via an automated smartphone-based application while participants completed a series of tasks under (1) single-task cognitive, (2) single-task gait, and (3) dual-task cognitive-gait conditions. The cognitive task was a series of continuous auditory Stroop cues. Average gait speed was consistent between testing sessions in single-task (0.98, SD = 0.21 vs 0.96, SD = 0.19 m/s; P =.60; r =.89) and dual-task (0.92, SD = 0.22 vs 0.89, SD = 0.22 m/s; P =.37; r =.88) conditions. Response accuracy was moderately consistent between assessments in single-task standing (82.3% accurate, SD = 17.9% vs 84.6% accurate, SD = 20.1%; P =.64; r =.52) and dual-task gait (89.4% accurate, SD = 15.9% vs 85.8% accurate, SD = 20.2%; P =.23; r =.81) conditions. Our results indicate automated motor-cognitive dual-task outcomes obtained within a smartphone-based assessment are consistent across a 1-month period. Further research is required to understand how this assessment performs in the setting of sport-related concussion. Given the relative reliability of values obtained, a smartphone-based evaluation may be considered for use to evaluate changes across time among adolescents, postconcussion.<p /> <p>Language: en</p>
%G en
%I Human Kinetics Publishers
%@ 1065-8483
%U http://dx.doi.org/10.1123/jab.2020-0391