Analysis of influencing factors of textile workers' occupational stress
10.3760/cma.j.cn121094-20190711-00294
- VernacularTitle:纺织工人职业应激的影响因素分析
- Author:
Yuan FANG
1
;
Zhaoqiang JIANG
;
Jianfei WANG
;
Junlin JIA
;
Dandan YU
;
Lingfang FENG
;
Li SHI
;
Xinnian GUO
;
Man YU
;
Hailing XIA
;
Min YU
;
Jing WANG
;
Tao LI
;
Li JU
;
Jin WANG
;
Jianlin LOU
Author Information
1. 310013 杭州，浙江省医学科学院职业病防治研究所
- Keywords:
Textile industry;
Occupational stress;
Job Content Questionnaire;
Effort reward imbalance;
Influencing factors
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2020;38(4):275-278
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.
