Modeling the Factors That Affect Work Accidents with Binary Logistic Regression: Evidence from Turkey

Abstract

Work accidents remain important worldwide. Work accidents and diseases influence the whole country economically, socially, and psychologically. The aim of this study was to determine the socio-demographic and economic factors that were influential for individuals in Turkey who experienced work accidents resulting in injuries. In this study, the Turkey Health Survey microdata set conducted by the Turkish Statistical Institute was employed including data from 35,019 employees who participated in the survey between 2008 and 2016. The factors affecting individuals' work accidents were determined by binary logistic regression analysis. According to analysis results, it was determined that the variables of gender, age, education, occupation, health, psycho-social support/being depressed, and use of alcohol have an impact on individuals having work accidents. Methods such as young employees receiving a good education, individuals completing their education before starting working, early intervention in diseases by regular employee checkups , the reduction of stress in employees' working life, reduction of the negative effects of the job environment on employees, preservation of a healthy work-life balance, and supporting employees in their attempt to give up various bad habits such as smoking through rehabilitation can play significant roles in reducing work accidents.