Does musculoskeletal discomfort at work predict future musculoskeletal pain?

Hamberg-van Reenen, Heleen H., van der Beek, Allard J., Blatter, Birgitte M., van der Grinten, Maarten P., Mechelen, Willem van and Bongers, Paulien M. (2008) Does musculoskeletal discomfort at work predict future musculoskeletal pain?. Ergonomics, 51 5: 637-648. doi:10.1080/00140130701743433

Author Hamberg-van Reenen, Heleen H.
van der Beek, Allard J.
Blatter, Birgitte M.
van der Grinten, Maarten P.
Mechelen, Willem van
Bongers, Paulien M.
Title Does musculoskeletal discomfort at work predict future musculoskeletal pain?
Journal name Ergonomics   Check publisher's open access policy
ISSN 0014-0139
Publication date 2008-05
Sub-type Article (original research)
DOI 10.1080/00140130701743433
Volume 51
Issue 5
Start page 637
End page 648
Total pages 12
Place of publication London, United Kingdom
Publisher Taylor & Francis
Language eng
Subject 1106 Human Movement and Sports Science
1203 Design Practice and Management
1701 Psychology
Formatted abstract
The objective of this prospective cohort study was to evaluate if peak or cumulative musculoskeletal discomfort may predict future low-back, neck or shoulder pain among symptom-free workers. At baseline, discomfort per body region was rated on a 10-point scale six times during a working day. Questionnaires on pain were sent out three times during follow-up. Peak discomfort was defined as a discomfort level of 2 at least once during a day; cumulative discomfort was defined as the sum of discomfort during the day. Reference workers reported a rating of zero at each measurement. Peak discomfort was a predictor of low-back pain (relative risk (RR) 1.79), neck pain (RR 2.56), right or left shoulder pain (RR 1.91 and 1.90). Cumulative discomfort predicted neck pain (RR 2.35), right or left shoulder pain (RR 2.45 and 1.64). These results suggest that both peak and cumulative discomfort could predict future musculoskeletal pain.

Keyword Discomfort
Low-back pain
Neck pain
Shoulder pain
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Human Movement and Nutrition Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 49 times in Scopus Article | Citations
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Created: Thu, 01 Apr 2010, 10:15:35 EST by Jon Swabey on behalf of Faculty Of Health Sciences