用于膝关节姿势量化的智能手机应用的有效性和可靠性，以及外部标记物对该测量精度的影响。

Validity and reliability of a smartphone application for knee posture quantification and the effects of external markers on the precision of this measure.

机构信息

Universidade Federal de Minas Gerais, School of Physical Education, Physical Therapy and Occupational Therapy, Graduate Program in Rehabilitation Sciences, Department of Physical Therapy, Avenida Antônio Carlos 6627 Campus Pampulha, 31270-901, Belo Horizonte, MG, Brazil; Faculdade Ciências Médicas de Minas, Alameda Ezequiel Dias, 275, CEP: 30130-110, Belo Horizonte, MG, Brazil.

出版信息

J Bodyw Mov Ther. 2021 Oct;28:42-48. doi: 10.1016/j.jbmt.2021.07.027. Epub 2021 Aug 12.

DOI:10.1016/j.jbmt.2021.07.027

PMID:34776173

Abstract

BACKGROUND

Technological resources, such as smartphones can contribute to the quantitative assessment of posture.

PURPOSES

Test the validity and reliability of using a postural assessment application to quantify the frontal plane knee posture in orthostatism and to test the influence of the use of external markers on the precision of this measure.

DESIGN

Methodological study.

METHODS

The knee frontal plane posture of 30 volunteers were analyzed by two independent examiners. The photographs were taken with different external marker arrangements. The photographs were analyzed at two moments using the Kinovea software and PhysioCode Posture (PCP) application. Reliability was analyzed using the intraclass correlation coefficient (ICC) between measures with each instrument conducted at two moments with a 7-day interval. Concurrent validity of PCP with Kinovea measure was analyzed using Pearson's correlation coefficient. Standard error measurement (SEM), minimum detectable change (MDC) and Bland Altman plots were analyzed.

RESULTS

PCP demonstrated excellent intra-rater [ICC = 0.92 (95% confidence interval [CI] 0.90-0.93)] and inter-rater [ICC = 0.88 (95%CI 0.85-0.90)] reliability. Concurrent validity analysis showed excellent agreement between PCP and Kinovea software (r = 0.88). The use of markers, independent of positioning, did not influence the measurement properties of measures with both softwares. The SEM was inferior to 1.2°, and the MDC was below 2.85°. No systematic errors were observed in the Bland Altman graphs.

CONCLUSIONS

The use of PCP application to measure knee posture was valid and demonstrated excellent intra- and inter-rater reliability levels. The use of external markers did not influence the measurement.

摘要

背景

技术资源，如智能手机，可以有助于对姿势进行定量评估。

目的

测试使用姿势评估应用程序来量化直立位额状面膝关节姿势的有效性和可靠性，并测试使用外部标记对该测量精度的影响。

设计

方法学研究。

方法

由两位独立的检查者分析 30 名志愿者的膝关节额状面姿势。使用不同的外部标记布置拍摄照片。使用 Kinovea 软件和 PhysioCode Posture (PCP) 应用程序在两个时刻分析照片。使用每个仪器在两个时刻进行的 7 天间隔的测量内的组内相关系数 (ICC) 分析可靠性。使用 Pearson 相关系数分析 PCP 与 Kinovea 测量的同时效度。分析标准误差测量 (SEM)、最小可检测变化 (MDC) 和 Bland Altman 图。

结果

PCP 表现出良好的内部评分者 [ICC=0.92(95%置信区间[CI]0.90-0.93)] 和外部评分者 [ICC=0.88(95%CI 0.85-0.90)] 可靠性。同时效度分析显示 PCP 与 Kinovea 软件具有极好的一致性(r=0.88)。无论标记的位置如何，使用标记都不会影响两种软件的测量特性。SEM 低于 1.2°，MDC 低于 2.85°。Bland Altman 图中未观察到系统误差。