OBJECTIVES: This prospective study concentrated on determining factors of computer work that predict musculoskeletal symptoms in the shoulder, elbow, and low-back regions. METHODS: A questionnaire on ergonomics, work pauses, work techniques, and psychosocial and work factors was delivered to 5033 office workers at baseline in early 1999 (response rate 69%) and to 3361 respondents at the time of the follow-up in late 2000 (response rate 77%). An increased frequency or intensity of symptoms was the outcome variable, including only nonsymptomatic respondents from the baseline questionnaire (symptom frequency below 8 days within the last 12 months or intensity score below 4 within the last 3 months). RESULTS: In the follow-up, 10%, 18%, and 23% had symptoms more often in the elbow, shoulder, and low back, respectively, and 14%, 20%, and 22% had more intense symptoms. Women were more likely to be afflicted than men in all regions. In the full-fit multivariate logistic regression analysis, little influence on the timing of a rest pause and being disturbed by glare or reflection were significant predictors of shoulder symptoms, screen below eye height was a significant predictor for elbow symptoms, and previous symptoms was a significant predictor for symptoms in all regions. Computer worktime and psychosocial dimensions were not significant predictors. CONCLUSIONS: Influence on work pauses, reduction of glare or reflection, and screen height are important factors in the design of future computer workstations. Since previous symptoms was a significant predictor of recurrent symptoms in all three regions under study, it can be concluded that musculoskeletal symptoms are persistent.
OBJECTIVES: This prospective study concentrated on determining factors of computer work that predict musculoskeletal symptoms in the shoulder, elbow, and low-back regions. METHODS: A questionnaire on ergonomics, work pauses, work techniques, and psychosocial and work factors was delivered to 5033 office workers at baseline in early 1999 (response rate 69%) and to 3361 respondents at the time of the follow-up in late 2000 (response rate 77%). An increased frequency or intensity of symptoms was the outcome variable, including only nonsymptomatic respondents from the baseline questionnaire (symptom frequency below 8 days within the last 12 months or intensity score below 4 within the last 3 months). RESULTS: In the follow-up, 10%, 18%, and 23% had symptoms more often in the elbow, shoulder, and low back, respectively, and 14%, 20%, and 22% had more intense symptoms. Women were more likely to be afflicted than men in all regions. In the full-fit multivariate logistic regression analysis, little influence on the timing of a rest pause and being disturbed by glare or reflection were significant predictors of shoulder symptoms, screen below eye height was a significant predictor for elbow symptoms, and previous symptoms was a significant predictor for symptoms in all regions. Computer worktime and psychosocial dimensions were not significant predictors. CONCLUSIONS: Influence on work pauses, reduction of glare or reflection, and screen height are important factors in the design of future computer workstations. Since previous symptoms was a significant predictor of recurrent symptoms in all three regions under study, it can be concluded that musculoskeletal symptoms are persistent.
Authors: Maaike A Huysmans; Stefan Ijmker; Birgitte M Blatter; Dirk L Knol; Willem van Mechelen; Paulien M Bongers; Allard J van der Beek Journal: Int Arch Occup Environ Health Date: 2011-10-29 Impact factor: 3.015
Authors: S IJmker; M A Huysmans; B M Blatter; A J van der Beek; W van Mechelen; P M Bongers Journal: Occup Environ Med Date: 2006-11-09 Impact factor: 4.402
Authors: Cammie Chaumont Menéndez; Benjamin C Amick; Che-Hsu Joe Chang; Jack T Dennerlein; Ronald B Harrist; Mark Jenkins; Michelle Robertson; Jeffrey N Katz Journal: J Occup Rehabil Date: 2008-01-18
Authors: Ewa Wigaeus Tornqvist; Mats Hagberg; Maud Hagman; Eva Hansson Risberg; Allan Toomingas Journal: Int Arch Occup Environ Health Date: 2009-02-10 Impact factor: 3.015