Association of Burnout with Organizational Factors and Occupational Health among Female Factory Workers — Continuing Study

Abstract

Introduction. With the growing number of females employed as factory workers, it is important to look into thephenomenon of burnout and related organizational climate affecting these workers.
 Objectives. The objectives of the study were: 1) to determine the effect of organizational climate on burnout among female factory workers; and 2) to look into the association between burnout as well as illnesses, injuries, hazard exposures and organizational climate factors.Methods. The secondary data used for this study was from a cross-sectional study involving 344 female factoryworkers. This paper is a continuing analysis of the previous paper of the same author which focused on establishing indices for burnout. This paper proceeds with correlation analysis between burnout and associated organizational factors, illnesses, and injuries in the workplace.Results. There was a total of 344 female respondents with mean age of 26 (SD=5.02), and majority were single(69.21%). Burnout score was significantly positively correlated with all experienced workplace accidents. Femaleworkers getting wounded due to sharp objects has a strong positive relationship with burnout score. Eye infection, dust inhalation, electrical accidents, and getting caught in machine parts have a moderate positive relationship with burnout score. Meanwhile, for illnesses, the following have a weak positive relationship with burnout - headache, cough and colds, genitourinary infections and bodyache. Organizational Climate Factors such as Autonomy on Quality, Physical Work Content, and Personal Worker Perception Index were significant factors to increasing the relative risk for more sickness experienced among the female workers. Strong positive relationship existed with burnout score and excessive noise in workplace. Dust, intoxicating odors, and high temperatures have a moderately strong positive relationship. Organizational factors significant in predicting burnout were Autonomy on Quality, Skilled Work Content, Physical Work Content, Hazardous Work Content, Health, Safety, and Compensation, and Upskilling and Training Index. Results also showed that a higher autonomy on speed, how much work was done, and how work was done decreases probability of burnout. Linear regression showed that Burnout was also associated with workplace accidents, self-reported illnesses, and hazard exposures as independent variables.Conclusion. This study has come up with correlational analysis between burnout and organizational factors, as well as with illnesses, injuries and hazard exposures in the occupational setting. This is a significant study as basis for policy and program formulation by industries concerned as well as the government.