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Inequalities in Self-Assessments of Mental and Physical Wellbeing Among Workers in the Tech Industry

Author

Listed:
  • Cristen Dalessandro

    (O.C. Tanner Institute, 1930 S State St, Salt Lake City, UT 84115, USA)

  • Alexander Lovell

    (O.C. Tanner Institute, 1930 S State St, Salt Lake City, UT 84115, USA)

Abstract

Although the technology (tech) industry has historically had a reputation for being supportive when it comes to wellbeing initiatives, research has found persistent disparities among the tech industry workforce. Therefore, using an original survey of tech workers worldwide (n = 1207), this paper explores whether gender and identification with racial “minority” status have an impact on self-reported levels of mental and physical wellbeing measures. Controlling for additional demographic variables, our regression model found that workers identifying as racial minorities at work (OR: 2.49; 95%CI 1.80–3.43) were significantly more likely to report lower mental wellbeing scores. Additional analyses found that compared to men who did not identify as a racial minority, minority-identified women (OR: 3.48; 95%CI 2.10–5.76) and men (OR: 2.10; 95% CI 1.40–3.15) were significantly more likely to report worse mental wellbeing, and minority-identified men were significantly more likely to report that work had a negative impact on their physical health as well (OR: 1.78; 95%CI 1.18–2.68). Due to the international scope of our project, our research suggests that demographic disparities in physical and mental wellbeing among tech workers is an ongoing problem on a global scale.

Suggested Citation

  • Cristen Dalessandro & Alexander Lovell, 2025. "Inequalities in Self-Assessments of Mental and Physical Wellbeing Among Workers in the Tech Industry," Social Sciences, MDPI, vol. 14(6), pages 1-18, June.
  • Handle: RePEc:gam:jscscx:v:14:y:2025:i:6:p:363-:d:1674764
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    References listed on IDEAS

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    1. Alison T. Wynn & Shelley J. Correll, 2017. "Gendered Perceptions of Cultural and Skill Alignment in Technology Companies," Social Sciences, MDPI, vol. 6(2), pages 1-28, May.
    2. Paula Stephan & Sharon Levin, 2005. "Leaving Careers in IT: Gender Differences in Retention," The Journal of Technology Transfer, Springer, vol. 30(4), pages 383-396, October.
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