Abstract

In large cohort studies, due to the time-consuming nature of the measurement of movement biomechanics, more than one evaluator needs to be involved. This may increase the potential occurrence of error due to inaccurate positioning of markers to the anatomical locations. The purpose of this study was to determine the reliability and objectivity of lower limb segments length by multiple evaluators in a large cohort study concerning healthy aging in an industrial environment. A total of eight evaluators performed marker placements on five participants on three different days. Evaluators placed markers bilaterally on specific anatomical locations of the pelvis, thigh, shank and foot. On the right foot, markers were placed in anatomical locations to define a multi-segmental foot model. The position of the marker at the anatomical locations was recorded by a motion capture system. The reliability and objectivity of lower limb segment lengths was determined by the intraclass correlation coefficient of a two-way random model and of the two-way mixed model, respectively. For all evaluators for all segments, the average reliability and objectivity was greater than 0.8, except for the metatarsus segment (0.683). Based on these results, we can conclude that multiple evaluators can be engaged in a large cohort study in the placement of anatomical markers.

Highlights

  • Musculoskeletal health status is one of the main goals of preventive strategies from a healthy aging perspective

  • Three males and two females, who were not part of the HAIE project, were used as participants in this study. They served as models for marker placement

  • The aim of this study was to assess the importance of marker placement reliability and objectivity using motion analysis data

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Summary

Introduction

Musculoskeletal health status is one of the main goals of preventive strategies from a healthy aging perspective. These strategies focus on an active lifestyle to reduce the impact of obesity, cardiovascular diseases, malignancy, bone health and diabetes. The success of the medical system has increased longevity with the result that the general population is living longer with accompanying chronic musculoskeletal diseases [2]. To understand these musculoskeletal health conditions, biomechanics research studies should focus on an epidemiologically reasonable size of the population. Prospective studies have utilized approximately 10 to 500 participants when analyzing running [3,4,5] and 10 to 150 when analyzing walking [6,7,8]

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