Classification of musculoskeletal disorders of the neck and upper limb : a population study
Classification of musculoskeletal disorders of the neck and upper limb : a population study
A population-based study has been conducted in Southampton, surveying working-aged adults regarding neck and upper limb symptoms. Of 6038 respondents, all symptomatic subjects (N=3152) and a sample of the asymptomatic subjects were invited to attend the physical examination, and 2145 examinations were performed. The findings were analysed: 1) using the medically based HSE criteria, and 2) using cluster analysis to group subjects according to their symptom-sign profiles.
At the neck four symptom-sign clusters were identified: no signs or symptoms; pain only; limited range of movement only; and plain plus a limited range of movement. The data-driven and medically based classification systems were in broad agreement and displayed similar associations with reported disability, healthcare use, mechanical activities and psychological factors.
At the shoulder four profiles were identified; these were characterised by increasing severity of disease involvement and did not distinguish between the five medically based diagnoses. However, comparison of the two classification systems confirmed that there were important differences between the categories identified in each.
Seven robust symptom-sign profiles were identified at the elbow, including two that tallied well with medial and lateral epicondylitis. Associated disability, healthcare use and exposures to mechanical occupational activity were prevalent in these clusters.
At the wrist/hand a total of fourteen symptom-sign profiles were yielded which were differentiated by location and the nature of symptoms and signs. Several of these corresponded well with clinical diagnoses of osteoarthritis and tenosynovitis. A these was clearly consistent with classical carpal tunnel syndrome.
Cluster analysis of symptom-sign profiles provides a unique approach to the classification and diagnosis of musculoskeletal disorders of the neck and upper limb. The information provided by the physical examination in addition to symptom report alone allows important distinctions in disease profile to be made.
University of Southampton
Reading, Isabel Claire
ed9aa83d-e676-4971-9e43-d6b7e91c449b
2003
Reading, Isabel Claire
ed9aa83d-e676-4971-9e43-d6b7e91c449b
Reading, Isabel Claire
(2003)
Classification of musculoskeletal disorders of the neck and upper limb : a population study.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
A population-based study has been conducted in Southampton, surveying working-aged adults regarding neck and upper limb symptoms. Of 6038 respondents, all symptomatic subjects (N=3152) and a sample of the asymptomatic subjects were invited to attend the physical examination, and 2145 examinations were performed. The findings were analysed: 1) using the medically based HSE criteria, and 2) using cluster analysis to group subjects according to their symptom-sign profiles.
At the neck four symptom-sign clusters were identified: no signs or symptoms; pain only; limited range of movement only; and plain plus a limited range of movement. The data-driven and medically based classification systems were in broad agreement and displayed similar associations with reported disability, healthcare use, mechanical activities and psychological factors.
At the shoulder four profiles were identified; these were characterised by increasing severity of disease involvement and did not distinguish between the five medically based diagnoses. However, comparison of the two classification systems confirmed that there were important differences between the categories identified in each.
Seven robust symptom-sign profiles were identified at the elbow, including two that tallied well with medial and lateral epicondylitis. Associated disability, healthcare use and exposures to mechanical occupational activity were prevalent in these clusters.
At the wrist/hand a total of fourteen symptom-sign profiles were yielded which were differentiated by location and the nature of symptoms and signs. Several of these corresponded well with clinical diagnoses of osteoarthritis and tenosynovitis. A these was clearly consistent with classical carpal tunnel syndrome.
Cluster analysis of symptom-sign profiles provides a unique approach to the classification and diagnosis of musculoskeletal disorders of the neck and upper limb. The information provided by the physical examination in addition to symptom report alone allows important distinctions in disease profile to be made.
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Published date: 2003
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Local EPrints ID: 465190
URI: http://eprints.soton.ac.uk/id/eprint/465190
PURE UUID: 9c1c7e1b-24a2-4e48-92ab-c13b9295c8ce
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Date deposited: 05 Jul 2022 00:28
Last modified: 16 Mar 2024 20:00
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Author:
Isabel Claire Reading
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