persistent of neck/shoulder pain among computer office workers with specific attention to pain expectation, somatization tendency, and beliefs

persistent of neck/shoulder pain among computer office workers with specific attention to pain expectation, somatization tendency, and beliefs

;Farideh Sadeghian;Mehdi Raei;Mohammad Amiri
italian journal of animal science 2014 Vol. 5 pp. 1169-1177
195
sadeghian2014internationalpersistent

Abstract

Background: Neck and shoulder pains are the prevalent complaints among computer office workers. The purpose of this study was to assess the relationship of somatization tendency, expectation of pain, mental health and beliefs about causation of pain with persistence of neck/shoulder pains among computer office workers. Methods: This research is a kind of prospective cohort study with 1-year follow-up. It has done among all eligible computer office workers of Shahroud universities (n = 182) in 2008-2009 and 1-year later. Data were collected using the Cultural and Psychosocial Influences on Disability questionnaire. Multiple logistic regression analysis was used to analyze the data through SPSS (P < 0.05). Results: At the baseline 100 (54.9%) of participants reported neck/shoulder pains and at follow-up 34.3% of them reported persistence pains. Significant relationships were found between persistence of neck/shoulder pains and negative expectation about pain in next 1-year P = 0.002, (odds ratio [OR] =8.3, 95% confidence interval [CI]: 2.1-32.9) and somatization tendency P = 0.01, (OR = 6.5, 95% CI: 1.6-27.4). Conclusions: Pain expectation and somatization tendency recognized as associated risk factors of persistent neck/shoulder pain among computer operators. This confirmed some other similar studies on work-related musculoskeletal disorders in Europe countries in recent years.

Citation

ID: 236548
Ref Key: sadeghian2014internationalpersistent
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
236548
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet