Documents metalworking industry 325 results

"Objectives This study identified occupations with a marked impact on sick leaves due to respiratory disease.Methods A national sick-leave register containing information on all sick leaves exceeding 14 days, physicians' diagnoses, and the occupational status of all manual and service employees in the private sector in Sweden was studied. Sick-leaves during 1992-1994 (N=210 755) were analyzed with special attention to respiratory disease and occupation.Results Respiratory disease accounted for 4.4% of the total number of sick leaves. The incidence of long-term ({>=90 days) sick leaves due to respiratory disease was 3 times higher in occupations with a high incidence than in those with a low incidence. There was a high correlation (r=0.80) between the incidence of long-term sick leave due to respiratory disease and sick leave due to all other conditions; this finding suggests that market and selection factors may play an important role in determining the overall risk for sick leave in various occupations. The proportion of sick leaves due to long-term respiratory disease out of all long-term disease was compared between occupations. Agricultural workers had a 46% higher proportion of long-term respiratory disease than metal workers. Industrial workers, food industry workers, and painters were also occupations with an increased risk. These findings could not be explained by differences in age or smoking habits.Conclusions Major differences were found among manual and service occupations regarding long-term sick leave due to respiratory disease. Several occupations, in which exposure to respiratory sensitizers and irritants are known to occur, were among those in which workers had an increased risk for long-term respiratory disease."

"Objectives The purpose of this study was to determine the occupational factors that cause workers to take sick leave.

Methods Twice, with a 24-month interval, 117 white- and 189 blue-collar employees from 2 metal industry companies completed a questionnaire on recurrent low-back pain and exposure to potential risk factors (biomechanical loads, physical environment, psychosocial factors) at work. Sick leave was monitored for the period between the questionnaires.

Results Low-back pain was predicted by exposure to harmful biomechanical loads among both white- and blue-collar workers [odds ratio (OR) 4.1 and 4.7, respectively), stress among white-collar workers (OR 2.4), and draft among blue-collar workers (OR 2.3). The take-up of sick leave was predicted by exposure to harmful biomechanical loads [rate ratio (RR) 1.7]; for sick leaves attributed to low-back pain the rate ratio was 3.1. Lack of recognition and respect at work predicted sick-leave attributed to low-back pain (RR 2.0), but not to other disorders.

Conclusion Recurrent low-back pain is preceded by reports of harmful biomechanical loads at work among white- and blue-collar workers, by stress among white-collar workers and by draft among blue-collar workers. The environmental and psychosocial factors under study did not modify the relation between biomechanical loads and the recurrent low-back pain. Sick leave attributed to back disorders is preceded by exposure to biomechanical loads at work and by a lack of recognition and respect at work among blue-collar workers. Biomechanical loading seems to be the most important occupational factor predicting both recurrent low-back pain and sick leave attributed to back disorders. Lack of recognition and respect at work appear to affect sick leave attributed to back disorders."