ArticleJournal of applied biomechanics2021
Reliability and Minimal Detectable Change for a Smartphone-Based Motor-Cognitive Assessment: Implications for Concussion Management.
Article in Journal of applied biomechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validity and Reliability of Methods to Assess Movement Deficiencies Following Concussion: A COSMIN Systematic Review.Sports medicine - open · 2023Pooled it
- A Guide to the Interpretation and Reliability of Annual Collegiate ImPACT Baselines by Sex.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026Article
- Multi-method proof-of-concept evaluation for R2Play: a novel multi-domain return-to-play assessment tool for concussion.PLOS digital health · 2025Article
- Dual-Task Predictors in Graduate Healthcare Students with Athletic Backgrounds.International journal of sports physical therapy · 2025Article
- Increased Auditory Dual Task Cost During Gait Initiation in Adult Patients With Persistent Concussion Symptoms.Archives of physical medicine and rehabilitation · 2024Article
- Minimal Detectable Change for the ImPACT Subtests at Baseline.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Article
- A Multifaceted Approach to Interpreting Reaction Time Deficits After Adolescent Concussion.Journal of athletic training · 2024Article
- Minimal Detectable Change for the ImPACT Test Administered Remotely.Journal of athletic training · 2023Article
- Validity and reliability of the Apple Health app on iPhone for measuring gait parameters in children, adults, and seniors.Scientific reports · 2023Article
- A novel smartphone application is reliable for repeat administration and comparable to the Tekscan Strideway for spatiotemporal gait.Measurement : journal of the International Measurement Confederation · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
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.
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