Cargando…
Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country
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 b...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162880/ https://www.ncbi.nlm.nih.gov/pubmed/21816073 http://dx.doi.org/10.1186/1476-069X-10-70 |
_version_ | 1782210891029151744 |
---|---|
author | Ranasinghe, Priyanga Perera, Yashasvi S Lamabadusuriya, Dilusha A Kulatunga, Supun Jayawardana, Naveen Rajapakse, Senaka Katulanda, Prasad |
author_facet | Ranasinghe, Priyanga Perera, Yashasvi S Lamabadusuriya, Dilusha A Kulatunga, Supun Jayawardana, Naveen Rajapakse, Senaka Katulanda, Prasad |
author_sort | Ranasinghe, Priyanga |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3162880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31628802011-08-28 Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country Ranasinghe, Priyanga Perera, Yashasvi S Lamabadusuriya, Dilusha A Kulatunga, Supun Jayawardana, Naveen Rajapakse, Senaka Katulanda, Prasad Environ Health Research 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. BioMed Central 2011-08-04 /pmc/articles/PMC3162880/ /pubmed/21816073 http://dx.doi.org/10.1186/1476-069X-10-70 Text en Copyright ©2011 Ranasinghe et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Ranasinghe, Priyanga Perera, Yashasvi S Lamabadusuriya, Dilusha A Kulatunga, Supun Jayawardana, Naveen Rajapakse, Senaka Katulanda, Prasad Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title | Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title_full | Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title_fullStr | Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title_full_unstemmed | Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title_short | Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
title_sort | work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162880/ https://www.ncbi.nlm.nih.gov/pubmed/21816073 http://dx.doi.org/10.1186/1476-069X-10-70 |
work_keys_str_mv | AT ranasinghepriyanga workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT pererayashasvis workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT lamabadusuriyadilushaa workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT kulatungasupun workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT jayawardananaveen workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT rajapaksesenaka workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry AT katulandaprasad workrelatedcomplaintsofneckshoulderandarmamongcomputerofficeworkersacrosssectionalevaluationofprevalenceandriskfactorsinadevelopingcountry |