Selected article for: "home work and logistic regression"
Author: Xiao, Yijing; Becerik-Gerber, Burcin; Lucas, Gale; Roll, Shawn C.
Title: Impacts of Working From Home During COVID-19 Pandemic on Physical and Mental Well-Being of Office Workstation Users
  • Cord-id: 8t4yriih
  • Document date: 2020_11_23
    • ID: 8t4yriih
    Snippet: OBJECTIVE: To understand impacts of social, behavioral and physical factors on well-being of office workstation users during COVID-19 work from home (WFH). METHODS: A questionnaire was deployed from April 24 to June 11, 2020 and 988 responses were valid. Linear regression, multinomial logistic regression and chi-square tests were used to understand factors associated with overall physical and mental health statuses and number of new physical and mental health issues. RESULTS: Decreased overall p
    Document: OBJECTIVE: To understand impacts of social, behavioral and physical factors on well-being of office workstation users during COVID-19 work from home (WFH). METHODS: A questionnaire was deployed from April 24 to June 11, 2020 and 988 responses were valid. Linear regression, multinomial logistic regression and chi-square tests were used to understand factors associated with overall physical and mental health statuses and number of new physical and mental health issues. RESULTS: Decreased overall physical and mental well-being after WFH were associated with physical exercise, food intake, communication with coworkers, children at home, distractions while working, adjusted work hours, workstation set-up and satisfaction with workspace indoor environmental factors. CONCLUSION: This study highlights factors that impact workers’ physical and mental health well-being while WFH and provides a foundation for considering how to best support a positive WFH experience.

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