Advanced search
1 file | 220.75 KB

Predictors of shoulder degeneration in the KwaZulu-Natal population of South Africa

Author
Organization
Abstract
The critical shoulder angle and acromion index are conventional radiological tools employed as predictors of shoulder degeneration. As they represent the static components of glenohumeral stability, the scapulo-humeral geometry and underlying subacromial tissue appear as the resultant cause-effect factors. Consequently. the purpose of this study was to investigate the critical shoulder angle and acromion index as interrelated parameters within the South African population. The measurement of both biomechanical parameters was conducted on two-hundred and sixty (n = 260) true AP radiographs. This was a cross-sectional study that also incorporated the demographic representation of the population group which was analysed accordingly. The mean values recorded for both the critical shoulder angle (36.31 +/- 5.84 degrees) and acromion index (0.74 +/- 0.13) suggested rotator cuff arthropathy. The results confirmed the theories of Nyffeler et al. (2006) and Moor et al. (2012) who alluded to glenoid inclination and the acromial coverage over the humeral head. A significant proportionality correlation, verified by a P value of 0.000, was established between the acromion index and critical shoulder angle which may assist to differentiate between normal asymptomatic shoulders and those with cuff disease. Furthermore, these predictors of shoulder degeneration may present as a preventative tool against tear progression.
Keywords
Critical shoulder angle, Acromion index, Predictors of shoulder degeneration, Rotator cuff tendinopathy, Subacromial disease, ROTATOR CUFF TEARS, BIOMECHANICAL ANALYSIS, COMPUTED-TOMOGRAPHY, GLENOHUMERAL JOINT, ANGLE, ASSOCIATION, ANATOMY

Downloads

  • art 16 361.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 220.75 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Naidoo, Nerissa, L Lazarus, Alexander Van Tongel, SA Osman, and KS Satyapal. 2018. “Predictors of Shoulder Degeneration in the KwaZulu-Natal Population of South Africa.” International Journal of Morphology 36 (1): 92–96.
APA
Naidoo, N., Lazarus, L., Van Tongel, A., Osman, S., & Satyapal, K. (2018). Predictors of shoulder degeneration in the KwaZulu-Natal population of South Africa. INTERNATIONAL JOURNAL OF MORPHOLOGY, 36(1), 92–96.
Vancouver
1.
Naidoo N, Lazarus L, Van Tongel A, Osman S, Satyapal K. Predictors of shoulder degeneration in the KwaZulu-Natal population of South Africa. INTERNATIONAL JOURNAL OF MORPHOLOGY. 2018;36(1):92–6.
MLA
Naidoo, Nerissa, L Lazarus, Alexander Van Tongel, et al. “Predictors of Shoulder Degeneration in the KwaZulu-Natal Population of South Africa.” INTERNATIONAL JOURNAL OF MORPHOLOGY 36.1 (2018): 92–96. Print.
@article{8558648,
  abstract     = {The critical shoulder angle and acromion index are conventional radiological tools employed as predictors of shoulder degeneration. As they represent the static components of glenohumeral stability, the scapulo-humeral geometry and underlying subacromial tissue appear as the resultant cause-effect factors. Consequently. the purpose of this study was to investigate the critical shoulder angle and acromion index as interrelated parameters within the South African population. The measurement of both biomechanical parameters was conducted on two-hundred and sixty (n = 260) true AP radiographs. This was a cross-sectional study that also incorporated the demographic representation of the population group which was analysed accordingly. The mean values recorded for both the critical shoulder angle (36.31 +/- 5.84 degrees) and acromion index (0.74 +/- 0.13) suggested rotator cuff arthropathy. The results confirmed the theories of Nyffeler et al. (2006) and Moor et al. (2012) who alluded to glenoid inclination and the acromial coverage over the humeral head. A significant proportionality correlation, verified by a P value of 0.000, was established between the acromion index and critical shoulder angle which may assist to differentiate between normal asymptomatic shoulders and those with cuff disease. Furthermore, these predictors of shoulder degeneration may present as a preventative tool against tear progression.},
  author       = {Naidoo, Nerissa and Lazarus, L and Van Tongel, Alexander and Osman, SA and Satyapal, KS},
  issn         = {0717-9502},
  journal      = {INTERNATIONAL JOURNAL OF MORPHOLOGY},
  number       = {1},
  pages        = {92--96},
  title        = {Predictors of shoulder degeneration in the KwaZulu-Natal population of South Africa},
  url          = {http://dx.doi.org/10.4067/s0717-95022018000100092},
  volume       = {36},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: