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Structural equation modeling of factors contributing to quality of life in Japanese patients with multiple sclerosis

  • Hiromi Kikuchi
  • , Nobuhiro Mifune
  • , Masaaki Niino
  • , Jun ichi Kira
  • , Tatsuo Kohriyama
  • , Kohei Ota
  • , Masami Tanaka
  • , Hirofumi Ochi
  • , Shunya Nakane
  • , Seiji Kikuchi

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Background: To improve quality of life (QOL) in patients with multiple sclerosis (MS), it is important to decrease disability and prevent relapse. The aim of this study was to examine the causal and mutual relationships contributing to QOL in Japanese patients with MS, develop path diagrams, and explore interventions with the potential to improve patient QOL.Methods: Data of 163 Japanese MS patients were obtained using the Functional Assessment of MS (FAMS) and Nottingham Adjustment Scale-Japanese version (NAS-J) tests, as well as four additional factors that affect QOL (employment status, change of income, availability of disease information, and communication with medical staff). Data were then used in structural equation modeling to develop path diagrams for factors contributing to QOL.Results: The Expanded Disability Status Scale (EDSS) score had a significant effect on the total FAMS score. Although EDSS negatively affected the FAMS symptom score, NAS-J subscale scores of anxiety/depression and acceptance were positively related to the FAMS symptom score. Changes in employment status after MS onset negatively affected all NAS-J scores. Knowledge of disease information improved the total NAS-J score, which in turn improved many FAMS subscale scores. Communication with doctors and nurses directly and positively affected some FAMS subscale scores.Conclusions: Disability and change in employment status decrease patient QOL. However, the present findings suggest that other factors, such as acquiring information on MS and communicating with medical staff, can compensate for the worsening of QOL.

    Original languageEnglish
    Article number10
    JournalBMC neurology
    Volume13
    DOIs
    Publication statusPublished - Jan 22 2013

    All Science Journal Classification (ASJC) codes

    • Clinical Neurology

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