Sway Balance Mobile Application: Reliability, Acclimation, and Baseline Administration

Clin J Sport Med. 2020 Sep;30(5):451-457. doi: 10.1097/JSM.0000000000000626.

Abstract

Objectives: To describe historic baseline session administration practices, to assess the utility of a practice trial (an acclimation trial) before the official balance session, and to examine the within-session reliability of the Sway Balance Mobile Application (SBMA).

Design: Retrospective observational study.

Setting: Middle schools, high schools, and colleges across the United States.

Participants: More than 17 000 student-athletes were included in the Sway Medical database with 7968 individuals meeting this study's inclusion criteria.

Independent variables: The Sway Medical database included the following subject characteristics for each student-athlete: age, sex, weight, and height.

Main outcome measures: Balance assessment score generated by the SBMA.

Results: Variable administration practices with significant differences between baseline session averages across methods were found. Individuals who performed an acclimation trial had a significantly higher baseline session average than those who did not. Within-session reliability estimates were in the low to adequate range (r = 0.53-0.78), with higher estimates found for 2 consecutive baseline tests (r = 0.75-0.78).

Conclusions: For maximum clinical utility, a standardized protocol for postural control baseline acquisition is necessary. Acclimation trial should be administered before a baseline session to minimize variability, especially with only 1 to 2 baseline tests. The highest reliability was observed across 2 consecutive baseline tests within the same baseline session. We suggest obtaining baseline balance measurements with an acclimation trial followed by a baseline session with 2 baseline tests. Prospective studies are required for validation.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Adaptation, Physiological*
  • Adolescent
  • Age Factors
  • Analysis of Variance
  • Athletes / statistics & numerical data
  • Body Mass Index
  • Body Weight
  • Child
  • Databases, Factual
  • Female
  • Humans
  • Male
  • Mobile Applications*
  • Postural Balance / physiology*
  • Reproducibility of Results
  • Retrospective Studies
  • Students / statistics & numerical data
  • United States
  • Young Adult