Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

Priyanga Ranasinghe, Yashasvi S Perera, Dilusha A Lamabadusuriya, Supun Kulatunga, Naveen Jayawardana, Senaka Rajapakse, Prasad Katulanda

ABSTRACT

BACKGROUND: Complaints of arms, neck and shoulders (CANS) is common among computer office workers. We evaluated an aetiological model with physical/psychosocial risk-factors. METHODS: We invited 2,500 computer office workers for the study. Data on prevalence and risk-factors of CANS were collected by validated Maastricht-Upper-extremity-Questionnaire. Workstations were evaluated by Occupational Safety and Health Administration (OSHA) Visual-Display-Terminal workstation-checklist. Participants' knowledge and awareness was evaluated by a set of expert-validated questions. A binary logistic regression analysis investigated relationships/correlations between risk-factors and symptoms. RESULTS: Sample size was 2,210. Mean age 30.8 ± 8.1 years, 50.8% were males. The 1-year prevalence of CANS was 56.9%, commonest region of complaint was forearm/hand (42.6%), followed by neck (36.7%) and shoulder/arm (32.0%). In those with CANS, 22.7% had taken treatment from a health care professional, only in 1.1% seeking medical advice an occupation-related injury had been suspected/diagnosed. In addition 9.3% reported CANS-related absenteeism from work, while 15.4% reported CANS causing disruption of normal activities. A majority of evaluated workstations in all participants (88.4%,) and in those with CANS (91.9%) had OSHA non-compliant workstations. In the binary logistic regression analyses female gender, daily computer usage, incorrect body posture, bad work-habits, work overload, poor social support and poor ergonomic knowledge were associated with CANS and its' severity In a multiple logistic regression analysis controlling for age, gender and duration of occupation, incorrect body posture, bad work-habits and daily computer usage were significant independent predictors of CANS. CONCLUSIONS: The prevalence of work-related CANS among computer office workers in Sri Lanka, a developing, South Asian country is high and comparable to prevalence in developed countries. Work-related physical factors, psychosocial factors and lack of awareness were all important associations of CANS and effective preventive strategies need to address all three areas. More... »

PAGES

70

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1476-069x-10-70

DOI

http://dx.doi.org/10.1186/1476-069x-10-70

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013265017

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21816073


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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1476-069x-10-70'

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curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1476-069x-10-70'


 

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