Health-Related Work Loss: Wellness Profiles of Information Technology Employees

Abstract

Understanding health-related work loss and creating a comprehensive approach requires the identification of lifestyle behavior patterns. An essential part of this process is the examination of different profiles within the target population to develop effective intervention strategies. This study explored the wellness profiles of information technology (IT) employees regarding lifestyle behaviors and health-related work loss. The cross-sectional study surveyed 405 employees (174 women and 231 men) in six cities in Türkiye to examine lifestyle behaviors (exercise, nutrition, stress management, health responsibility, mental development, and interpersonal relations) and health-related work loss (presenteeism and absenteeism). Data analysis was conducted using independent samples t-test, ANOVA, multiple linear regression, and two-step cluster analysis. Regression findings indicated that physical activity, nutrition, and stress management behaviors statistically predict work performance in IT employees (p<0.05). The two-step cluster analysis showed four behavioral motivation clusters, including avoidance (no intention to change), intention (has the intention but no action), participation (has recently started), and maintenance (has become a habit). Certain lifestyle behaviors and clusters appear to be essential factors in health-related work loss among IT employees; thus, organizations that offer workplace wellness programs should prioritize these two issues. Clusters defined in this study could be used to help improve the wellness of IT sector employees.

Keywords

• Absenteeism
• Information technology employees
• Lifestyle behaviors
• Presenteeism
• Wellness profiles

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