ABSTRACT
OBJECTIVE: To investigate the current situation of the quality of life and its related factors among assembly line workers in manufacturers of Zhongshan City. METHODS: By cluster sampling method,1 485 assembly line workers from five manufacturing enterprises of Zhongshan City were selected as study subjects. The quality of life was measured by SF-36 scale. RESULTS: The dimension scores of physical functioning,physical role,body pain,general health,vitality,and social function of 1 485 workers were higher than those of normal people in Sichuan and Hangzhou( P < 0. 01). The score of emotional function dimension were higher than those of normal people in Sichuan( P < 0. 01). But the dimension score of mental health was lower than those of the normal people of Sichuan and Hangzhou( P < 0. 01). The multiple linear regression analysis result indicated that the quality of life of assembly line workers was influenced by monthly income,night shift,occupational hazard protection device and regular physical exercise( P < 0. 05). CONCLUSION: The mental health score of assembly line workers in manufacturers was low. The overall score was influenced by employment status and physical exercise.
ABSTRACT
OBJECTIVE: To analyze the relationship between the high-temperature working classification and prevalence of hypertension in iron and steel production workers. METHODS: By a convenience sampling method,2 798 workers in an iron and steel production enterprise were selected as study subjects. They were divided into high-temperature working group( 1 070 cases) and non-high-temperature working( control) group( 1 728 cases). The occupational health status was investigated by questionnaire survey and the blood pressure was measured. The wet bulb globe temperature in workplace of high temperature working group was measured,and the high-temperature classification was made based on the time of exposure to high temperature. RESULTS: The prevalence rate of hypertension of 2 798 iron and steel production workers was32. 8%. The prevalence rate of hypertension of high-temperature working group was higher than that of the control group( 41. 3% vs 27. 5%,P < 0. 01). The prevalence rate of hypertension in high temperature working group presented an increasing tendency with the increase of high-temperature working level( P < 0. 01). The multiple logistic regression analysis results showed that excluding the confounding factors of age,body mass index,family history of hypertension,educational background,smoking,alcohol drinking,salt intake and mental stress,it showed that high-temperature working classification was positively correlated with increasing prevalence of hypertension in high-temperature working group( P <0. 01); and the initial exposure age to high-temperature was negatively correlated with the prevalence of hypertension in iron and steel production workers( P < 0. 01). CONCLUSION: High-temperature is an important influence factor to the prevalence of hypertension in iron and steel production workers. Strengthening the management of high-temperature classification is helpful for the prevention and treatment control of hypertension in the iron and steel production workers
ABSTRACT
OBJECTIVE: To analyze the correlation between occupational stress and hypertension in steel production workers.METHODS: By the stratified cluster sampling method,1 580 steel production workers from an iron and steel group company were selected as study subjects. Occupational stress was measured by the Chinese version of Job Content Questionnaire.The identification of having occupational stress was the ratio of job requirement dimension score over job self-decision dimension score turned to be ≥1. 00. The steel production workers' blood pressure was measured by the updated mercury sphygmomanometer. The effect of occupational stress on blood pressure in steel production workers was analyzed. RESULTS: The dimension score of job self-decision in hypertension group was lower than that in non-hypertension group [20( 16,23) vs 20( 17,24) scores,P < 0. 05]. There was no statistical significant difference in occupational stress ratio,job requirement and social support dimension scores between two groups( P > 0. 05). The multiple logistic regression analysis showed that job self-decision and social support scores were negatively correlated with the incidence of hypertension [odds ratios( 95% confidence intervals) were 0. 68( 0. 51,0. 90) and 0. 54( 0. 45,0. 76),P < 0. 01]. CONCLUSION: Job selfdecision and social support are the influencing factors of the incidence of hypertension in steel production workers. The correlation among occupational stress,job requirement and hypertension are not found in steel production workers.
ABSTRACT
A cross-sectional study was conducted for detecting the risk factors and to propose an effective control program for occupational low back pain. The subjects were 1,665 male production workers employed at a steel factory and a welding material manufacturing factory. The data were collected by a self-reported questionnaire and a medical examination with a rehabilitation specialist for ten days in September, 1997. The contents of the questionnaire were as follows: general characteristics, physical characteristics, employment status, type of work, working environment and the experience of low back pain. The number of cases with symptoms of occupational low back pain were 321, so the point prevalence was 19.3 persons/100 persons. The number of cases with a history of occupational low back pain for one year were 554, so the one year period prevalence was 33.3 persons/100 persons. The point and one year period prevalences of occupational low back pain showed no significant differences in age, marital status, educational level and body mass index. The point and one year period prevalences of occupational low back pain showed no significant differences in alcohol drinking, smoking, stretching exercise and regular exercise. The point and one year period prevalences of occupational low back pain were significantly higher in the unsatisfied group than the satisfied group(p < 0.01), However, no significant differences were found among tenures and shift work. The point and one year period prevalences of occupational low back pain were significantly higher in the lifting of heavy materials group than the nonlifting group(p < 0.01). However, no significant differences were found among posture of the waist and the working posture. Through the multivariate logistic regression, significantly associated factors with occupational low back pain were found to be dissatisfaction with job(point prevalence: OR=1.78, 95% CI: 1.21-2.61; one year prevalence: OR=1.76, 95% CI: 1.26-2.47), lifting of heavy materials(point prevalence: OR=1.94. 95% CI: 1.44-2.61: one year prevalence: OR=2.17, 95% CI: 1.70-2.77) and tenure(point prevalence: OR=1.03. 95% CI: 1.01-1.06: one year prevalence: OR=1.02, 95% CI: 1.00-1.05).