| Literature DB >> 30675584 |
Philippe Collin1, B H Banarji2, Patrick J Denard3,4, Omar Kherad5,6, Alexandre Lädermann6,7,8.
Abstract
BACKGROUND: Strength testing is an important aspect of shoulder examination. To date, strength assessment has many limitations. There is no single standard instrument for measuring, and various current devices have problems in reliability, accuracy, and cost. This study compared the results of an innovative and simple method of strength testing (weighing machine) with an existing method (isometric dynamometer).Entities:
Keywords: Constant score; Dynamometer; Shoulder; Spring balance; Strength assessment; Weighing machine
Year: 2018 PMID: 30675584 PMCID: PMC6334860 DOI: 10.1016/j.jses.2018.02.002
Source DB: PubMed Journal: JSES Open Access ISSN: 2468-6026
Figure 1(A) The weight of the examiner is recorded (75 kg in this example). (B) With the elbow extended, the hand pronated, and the torso not stabilized, the patient's arm is elevated 90° in the plane of the scapula. The examiner positions 1 hand just proximal to the wrist. The patient is asked to maintain the position of the upper extremity for at least 5 seconds while a downward force is applied. The new weight is noted (65 kg in this example). The strength that has to be reported in the Constant score is the difference between the 2 measurements, in this example, 10 kg (75 kg – 65 kg).
Baseline characteristics according to groups
| Variable | Group 1 | Group 2 | |
|---|---|---|---|
| (n = 60) | (n = 20) | ||
| Male sex | 61.6 | 50.0 | .092 |
| Age, yr | 37.6 ± 12 | 49.2 ± 10 | <.001 |
| Height, m | 1.72 ± 0.10 | 1.68 ± 0.09 | .333 |
| Weight, kg | 70 ± 12 | 70 ± 12 | .395 |
Categoric data are shown as the percentage and continuous data as mean ± standard deviation.
Wilcoxon test.
Comparison of strength measurements between the 2 methods
| Group | Isometric dynamometer | Weighing scale | |
|---|---|---|---|
| Mean ± SD (range) | Mean ± SD (range) | ||
| Group 1 | 7.82 ± 2.56 (3.8-14.7) | 7.56 ± 2.52 (3.6-14.3) | <.0001 |
| Group 2 | 6.71 ± 2.33 (4.1-12) | 6.33 ± 2.54 (3.0-12.3) | .0291 |
SD, standard deviation.