Effect of Discrimination on Presenteeism among Aging Workers in the United States: Moderated Mediation Effect of Positive and Negative Affect

Int J Environ Res Public Health. 2020 Feb 22;17(4):1425. doi: 10.3390/ijerph17041425.

Abstract

This study aimed to examine how perceived everyday discrimination influences presenteeism and how conscientiousness moderates the relationship between discrimination and positive affect among older workers. Structural equation modeling (SEM) was used to examine the mediating effect. The moderated mediation model was examined by PROCESS. The results of the final SEM model showed that discrimination was directly positively associated with presenteeism. Furthermore, positive affect was significantly inversely correlated with discrimination and presenteeism. In addition, negative affect was significantly positively correlated with discrimination and presenteeism. The significant indirect effect between perceived everyday discrimination and positive affect was significantly mediated by positive and negative affect. In addition, the results of the moderated mediation model indicate that positive affect was more likely to be influenced by perceived everyday discrimination among older workers with less conscientiousness, as compared with those with greater conscientiousness. To enhance work outcomes of aging workers in the United States, managers should foster highly conscientious aging workers, award those who are hardworking and goal-oriented, and combine personal goals and organizational goals through bonuses, holidays, and benefits. Policymakers should be mindful of the negative impact of discrimination on presenteeism and should target lowly conscientious older workers.

Keywords: conscientiousness; discrimination; negative affect; positive affect; presenteeism; public data.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Affect
  • Aged
  • Ageism* / psychology
  • Ageism* / statistics & numerical data
  • Aging*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Theoretical*
  • Presenteeism* / statistics & numerical data
  • United States