Effective Contribution and Relative Contribution Determinants of the Quality of Life of Workers in the Textile Industry

Abstract

Industrial workers often experience stress, depression, and anxiety problems that affect their quality of life. Apart from that, the quality of life is also influenced by factors such as age, gender, marital status, education, BMI, length of service, type of work, and place of residence. This research aims to analyze the relationship, coefficient of determination, effective contribution, and relative contribution of independent variables that dominantly influence the quality of life of textile industry workers. Data were collected using a demographic questionnaire, weight scale, height meter, DASS 42 questionnaire, and EQ-5D-5L questionnaire. Statistical analysis uses descriptive statistics, simple linear regression, and multiple linear regression using the backward method. The results of the multiple linear regression analysis using the backward method show that the coefficient of determination of the dominant independent variable is 71.7%, with each effective contribution being length of service (5.0%), gender (2.4%), depression (31.2%), anxiety (12.0%), and stress (21.2%). The relative magnitudes of contribution were length of service (7.0%), gender (3.3%), depression (43.4%), anxiety (16.8%), and stress (29.5%). This research found that the dominant factors influencing the quality of life of textile industry workers are length of service, gender, depression, anxiety, and work stress. Therefore, textile industry management needs to carry out job rotation taking into account length of service and gender, as well as holding programs to improve workers' physical health, mental health, and welfare.