OBJECTIVES The purpose of this study was to examine the occupational risk factors associated with musculoskeletal symptoms in public workers. METHODS In November 2010, 544 participants anwered a survey that included questions on the participants' general characteristics, job-related factors, health-related behaviors, and psychosocial stress. We measured the relationship of risk factors to musculoskeletal symptoms using a logistic regression analysis. RESULTS After adjusting for general characteristics, factors associated with occupational musculoskeletal symptoms were gender (OR=2.858, 95% CI=1.701~4.801), unnatural posture (OR=2.386, 95% CI=1.308~4.354), psychosocial stress (OR=4.051, 95% CI=1.336~12.282) and sleep quality (OR=1.672, 95% CI=1.052~2.660). CONCLUSIONS These findings suggest that psychosocial stress levels and physical environment (especially in professions requiring an unnatural posture) are related to musculoskeletal symptoms in public workers.
OBJECTIVES To investigate the prevalence of musculoskeletal symptoms in university hospital healthcare workers and to evaluate the job-related factors that affect musculoskeletal symptoms. METHODS A questionnaire was administered to health care workers who work at the university hospital. The self-reported questionnaire included the following information: general characteristics, health behaviors, job-related factors, depression symptom, ergonomic factor, job stress, and musculoskeletal symptoms. Ergonomic factor was measured by ANSI Z-365, depression symptom by CES-D, job stress by KOSS-26 and musculoskeletal symptoms by NIOSH questionnaire. RESULTS A total of 1,198(64.2%) of 1,842 respondents answered and 1,183 were included in the final study population. The prevalence of musculoskeletal symptoms was 53.3%. The prevalence of musculoskeletal symptoms of males and females was 25.6% and 63.9%, respectively. After adjusting for confounding factors, total job stress score(OR=3.05, 95% CI=1.62~5.74), depression symptom(OR=2.18, 95% CI=1.07~4.43), ANSI Z-365 high risk group(OR=5.33, 95% CI=2.08~13.66) in males and total job stress score(OR=2.14, 95% CI=1.53~3.00), three-shift work(OR=1.81, 95% CI=1.26~2.60), nurses(OR=1.82, 95% CI=1.22~2.73), and ANSI Z-365 high risk group(OR=3.33, 95% CI=1.58~7.03) in females were significantly associated with musculoskeletal symptoms. CONCLUSIONS Shift work, nurses, ANSI Z-365 high risk group, depression symptom and job stress were related with musculoskeletal symptoms. In order to prevent musculoskeletal disorders, ergonomic improvements and stress reduction are required.
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OBJECTIVES This study aimed to assess the relationship between musculoskeletal symptoms and non-fatal injuries in construction workers. METHODS This was a cross-sectional study involving 1,836 male construction workers in petrochemical plants in Korea. For this study, a structured self-reported questionnaire(KOSHA CODE H-30-2003) was used. Musculoskeletal symptoms were defined as symptoms that affect the operation of the musculoskeletal system, for longer than one week or a frequency of more than once per month. To evaluate the association between musculoskeletal symptoms and non-fatal occupatioanl injuries, multiple logistic-regressions were used after adjusting for age, exercise, smoking status, alcohol consumption, work time, work duration, and income. RESULTS A total of 140 workers were involved in non-fatal injuries cases, representing 7.6% prevalence. After adjusting for confounding variables, the logistic regression analyses indicated the group with musculoskeletal symptoms(OR 1.73 95% CI:1.21~2.47) and intensity criteria of musculoskeletal symptoms as related to 'moderate' criteria(OR 1.82 95% CI:1.18~2.81) or 'severe' criteria(OR 2.57 95% CI:1.43~4.63). This identified group was more likely to experience non-fatal occupational injuries. However, a 'mild' criteria(OR 1.00 95% CI:0.51~1.99) was not associated with non-fatal occupational injuries. CONCLUSIONS The results indicated a possible association between musculoskeletal symptoms and non-fatal injuries. Hence, strengthening of laws and regulations, effective ergonomic programs and training is necessary to prevent musculoskeletal symptoms.
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OBJECTIVES The purpose of this study was to identify current status of sickness absence and early leaves from work as a result of work-related musculoskeletal symptoms. METHOD From January to December in 2007, 4,975 workers were recruited into this study and surveyed over this time period; workers came from 116 small and medium sized companies in Incheon. Among the study populations, only those who met the NIOSH criteria for work-related musculoskeletal symptoms on each symptom locations were included in the final analysis. The survey used a structured self-administered questionnaire, which asked questions about musculoskeletal symptoms regarding locations, sickness absences and early leaves from work. Other information gathered from participants included sociodemographical characteristics, and work-related characteristics. RESULTS The rates of sickness absences and early leaves in each symptom locations were highest (14.9%) among workers with waist symptoms. Men had higher rates of sickness absences and early leaves form work than women; manufacturing workers had higher rates of sickness absences and early leaves form work than office workers. After confounding variables that had significant difference in univariate analysis on each symptom locations were adjusted, the odds ratios for sickness absence and early leaves divided by pain intensity were 4.361(neck), 4.140(shoulder), 3.151(arm/wrist), 3.085(leg/foot), and 2.731(waist), respectively; these differences were statistically significant. CONCLUSIONS The rates of sickness absence and early leaves in each work-related musculoskeletal symptom locations were highest among workers with waist symptoms, and the intensity of pain was identified to have a considerable effect on the rates of sickness absences and early leaves. Based on these results, we think that there are needs to be early interventions on workers with waist symptoms.
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OBJECTIVES The aim of this study was to estimate musculo-skeletal symtoms of municipal sanitation workers and to evaluate working conditions of municipal sanitation workers to search for the factors related to musculo-skeletal symptoms. METHODS We conducted a descriptive cross-sectional survey. The study subjects were comprised of 543 municipal sanitation workers in some divisions of Seoul and the Gyeonggi province. Musculo-skeletal analysis was done by using the modified criteria of NIOSH musuclo-skeletal symptoms, RULA and, REBA. Statistical analysis was done by using the chi-square test, multiple logistic regression analysis. RESULTS 72.2% of the subjects complained musculo-skeletal symptoms (39.6% on the upperlimbs, 30.0% on the lumbar region, 27.4% on the legs). For the musculo-skeletal symptoms criteria (1~3), street cleaners complained of more musculo-skeletal symptoms than the solid waste collectors, after classifying the jobs of sanitation workers. On logistic regression analysis of the musculo-skeletal "symptoms criteria1" positive groups, age was related to the criteria positive (prevalence odds ratio=1.018, 95% CI: 0.993-1.046). The worktime was significantly related to 'criteria positive 1 and, 2' (prevalence odds ratio=2.165 (95% CI: 1.156-4.131), 2.187 times (95% CI: 1.071-4.651)). The RULA score, the subtotal A score of RULA, the REBA score and , the total A REBA score of the upperlimbs of solid waste collectors were higher than those of the street cleaners. CONCLUSIONS In spite of the lower ergonomic evaluation score of the street cleaner, the street cleaners complained of more musculo-skeletal symptoms than did the solid waste collectors due to more frequent repetitive motions, a longer work time (over 10 hours) etc. It is suggested that the sanitation workers need to use the proper methods to avoid musculo-skeletal disease.
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OBJECTIVES To identify risk factors for musculoskeletal symptoms in aviation maintenance technicians in order to provide basic information for intervention programs to prevent and manage musculoskeletal symptoms for these technicians. METHODS Between October 18 and 25, 2004, 286 aviation maintenance technicians answered a self-administered questionnaire, which included general characteristics, Karasek's Job Content Questionnaire for psychosocial characteristics, and work-related characteristics. The musculoskeletal symptoms were evaluated using the National Institute of Occupational Safety and Health (NIOSH) surveillance criteria. Statistical analysis included means and standard deviation, x2-test, t-test, and logistic regression. RESULTS A quarter (25.8%) of the workers reported musculoskeletal symptoms in more than one body region. The prevalence of symptoms was 12.9% in the lower back, 10.2% in the shoulders, 9.4% in the legs/foots, 9% in the neck, 5.9% in the hands/wrists/fingers, and 2.7% in the arms/elbows. General characteristics were not found to influence musculoskeletal symptoms, except that workers practicing regular exercise reported fewer lower back symptoms (p=.038). Low social support (p=.001), and low supervisory support (p=.000) were significant factors for increased musculoskeletal symptoms whereas decisions latitude, psychological job demands, and co-worker support were not found to have significant associations, with the exception of low decision latitude which was significantly associated with increased legs/foots symptoms (p=.034). More than two thirds (69.6%) of the workers whose perceived physical load was very high complained of symptoms. This rate was eight times higher than for workers whose perceived load was very low (p=.000). The workers highly exposed to both physical and psychosocial risk factors were more likely to report musculoskeletal symptoms than workers highly exposed to only one of these factors (p=.000). The odds ratios for very high-perceived physical load (OR 13.9) and low supervisory support (OR 2.9) were clearly increased. CONCLUSIONS The results of this study suggest that consideration for perceived physical load and psychosocial characteristics as important determinants is necessary to prevent musculoskeletal symptoms in aviation maintenance technicians. To develop effective intervention programs to prevent musculoskeletal symptoms, a comprehensive and systematic approach should be the basic premise. Such an intervention program should consist of ergonomic, managerial and behavioral interventions to reduce physical load and psychosocial factors.
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OBJECTIVES To determine the synthetic risk factors of musculoskeletal disorders, and to examine effect on musculoskeletal symptoms of physical work intensity and change of work intensity. METHODS Self-administered questionnaraire survey was conducted on 588 motor engine assembly workers, in Chanwon, Kyungnam provance, Korea, from April 1 to May 31, 2003. The contents of the questionnaire investigation included general characteristic items, workrelated characteristic items, presence of musculoskeletal symptoms, ergonomic risk factors items, job stress items, current physical work intensity and changes of work intensity items. The results underwent statistical analysis with frequency test, t-test, and logistic regression. The statistical significance level was 0.05, and SAS(v8.1) was used. RESULTS Multiple logistic regression analysis was used to examine the relationship between risk factors and musculoskeletal symptoms. From the results, significant variables were high Quick Exposure Check (QEC) score, high job demand control, physical work intensity, change of work intensity. CONCLUSION Among the known risk factors of musculoskeletal disorders, the outbreak of musculoskeletal symptoms was confirmed to be correlated with age, tenure, ergonomic risk factors, and job stress. Physical work intensity and the changes of work intensity were also related to musculoskeletal symptoms.
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OBJECTIVES To determine the relationship between stress Factors and work-related musculoskeletal symptoms of assembly line workers in the automobile industry. METHODS A cross-sectional study was conducted in two Factories of automobile manufacturing companies where inappropriate posture and repetitive motions were required. The total number of subjects was 636, and consisted entirely of men. The Age, length of work duration, marital status, education level, smoking status, drinking status, sleeping time and stress scores were investigated according to subgroups of general characteristics. We divided the subjects into a Reference group and a Stress risk group to compare the frequency of the variables between them. The stress scores of the Positive symptom group were compared with the Symptom free group by the t-test. To measure the stress level, the PWI(Psychosocial Well being Index) which consists of 4 Factors, totaling 45 items, was used. A standardized self-reported questionnaire was used to assess the symptoms in workers. The criteria for positive symptoms were based on Operational Definition of Work-related Musculoskeletal Disorders of the NIOSH. RESULTS 1) The subgroups of Age, Work duration, Marital status, Education level, Smoking status, Drinking status and Sleeping time revealed no differences in frequencies in musculoskeletal symptoms. 2) Higher PWI(p<0.05), Factor 3(p<0.05) and Factor 4(p<0.01) scores were observed in younger workers compared with older workers. 3) The workers who had work durations between 11-15 years showed higher PWI(p<0.01), Factor 2(p<0.01), Factor 3(p<0.01), and Factor 4(p<0.01), compared with other work duration subgroups. 4) Singles had higher Factor 4 scores(p<0.01). 5) The sleeping time of less than 6 hours a day expressed a higher PWI(p<0.01), Factor 2(p<0.05), and Factor 3(p<0.01), Factor 4(p<0.05). 6) There was no difference in the prevalence of musculoskeletal symptoms between the Reference group and Stress risk group. 7) The subjects who had Positive musculoskeletal symptoms showed a significant difference in Factor 2 scores compared with the Symptom free groups. 8) According to a univariate logistic regression analysis, Factor 2(OR: 1.02, 95% CI: 1.00-1.04, p-value: 0.0291) expressed significant but mild effects on the musculoskeletal symptoms and a multivariate logistic regression showed a statistically significant effect on musculoskeletal symptoms(OR:1.04, 95% CI: 1.01-1.07, p-value: 0.0170). CONCLUSION Psychosocial stress scores were not higher in symptomatic subjects compared with those who had no symptoms. Sleeping longer showed a protective effect on symptoms but this was not statistically significant. There was no relationship between the stress scores and musculoskeletal symptoms in social performance and self-confidence, general well-being and vitality. Factor 2(Depression) was statistically significant though its effect was mild. Limited to this study, We could find partial relationship between psychosocial stress(Depression) and musculoskeletal symptoms. So it could therefore be suspected that ergonomic or other unknown factors may be more significant causes of musculoskeletal symptoms but we did not investigate these.
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OBJECTIVES To determine the prevalence and related factors of work related musculoskeletal symptoms in hairdressers. METHODS Informations on general characteristics, job strain, and musculoskeletal symptoms were obtained by a self-administered questionnaire, through adopting NIOSH instrument and JCQ(Job content questionnaire), from 267 hairdressers, between March and May, 2000. RESULTS The symptom prevalence by NIOSH surveillance criteria in total was high as 94.4%; shoulder (61.0%), neck (59.9%), low back (53.2%), hand and wrist (41.6%), etc. In multiple logistic regression, significant factors affecting the symptoms by body region; job insecurity on neck' gender, alcohol, decision latitude on low back; alcohol on hand and wrist; smoking on thigh and knee,' smoking, decision latitude on ankle and foot; job insecurity on upper back. CONCLUSIONS Musculoskeletal symptoms of hairdresser were highly prevalent, and associated with job strain and their health habits.
This is a basic data of work related musculoskeletal disorders among hairdressers who are not the subjects of occupational health service at the present time in Korea.
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