Selected article for: "binomial logistic regression analysis and logistic regression"

Author: Jain, Rahul; Meena, Makkhan Lal; Rana, Kunj Bihari
Title: Risk factors of musculoskeletal symptoms among mobile device users during work from home.
  • Cord-id: klqlol7n
  • Document date: 2021_9_11
  • ID: klqlol7n
    Snippet: PURPOSE The coronavirus (COVID-19) is affecting people throughout the world. People are forced to conduct various activities at home using mobile devices (MDs) as a result of the outbreak. In this case, prolonged use of MDs is the major cause for work-related health problems. MATERIAL AND METHODS We used systematic cluster random sampling to sample a diverse group of Indians from India's various states. Subjects filled out a questionnaire with questions about their demographics, MDs usage and mu
    Document: PURPOSE The coronavirus (COVID-19) is affecting people throughout the world. People are forced to conduct various activities at home using mobile devices (MDs) as a result of the outbreak. In this case, prolonged use of MDs is the major cause for work-related health problems. MATERIAL AND METHODS We used systematic cluster random sampling to sample a diverse group of Indians from India's various states. Subjects filled out a questionnaire with questions about their demographics, MDs usage and musculoskeletal symptoms (MSSs) faced. The relationship between MSSs and various factors was investigated using χ2 and binomial logistic regression analysis. RESULTS An online survey yielded 720 responses. More than half of employees registered MSSs in their upper body regions. Age, gender and MD usage were correlated with MSSs in various body regions. According to the binomial logistic regression findings, gender was significantly linked to MSSs in each body region. CONCLUSIONS Results show that MDs can be used effectively in intermediate leisure activities if they are used in accordance with their basic needs.

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