Selected article for: "home work and logistic regression"
Author: Tilchin, Carla; Dayton, Lauren; Latkin, Carl A.
Title: Socioeconomic Factors Associated With an Intention to Work While Sick From COVID-19
  • Cord-id: ajx7m7v0
  • Document date: 2021_1_20
    • ID: ajx7m7v0
    Snippet: OBJECTIVE: We sought to understand barriers to staying home from work when sick from COVID-19 (COVID-19 presenteeism) to understand COVID-19 health disparities and transmission and guide workplace and social policy. METHODS: We used logistic regression models to assess which socioeconomic factors were associated with intended COVID-19 presenteeism among an online study population working outside their home in March 2020 (N = 220). RESULTS: Overall, 34.5% of participants reported intended COVID-1
    Document: OBJECTIVE: We sought to understand barriers to staying home from work when sick from COVID-19 (COVID-19 presenteeism) to understand COVID-19 health disparities and transmission and guide workplace and social policy. METHODS: We used logistic regression models to assess which socioeconomic factors were associated with intended COVID-19 presenteeism among an online study population working outside their home in March 2020 (N = 220). RESULTS: Overall, 34.5% of participants reported intended COVID-19 presenteeism. Younger individuals and individuals making over $90,000 per year were less likely to report COVID-19 presenteeism. Individuals who were worried about having enough food had 3-fold higher odds of intended COVID-19 presenteeism. CONCLUSION: Current policies around food access, paid sick leave, and other workplace protections need to be expanded and made more accessible to reduce health disparities as well as the transmission of COVID-19 and other infections.

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