Arthritis & Rheumatism, Volume 60,
October 2009 Abstract Supplement

The 2009 ACR/ARHP Annual Scientific Meeting
Philadelphia October 16-21, 2009.


Determinants of the Quality of Life in Patients with Fibromyalgia: a Structural Equation Modeling Approach

Lee1,  Shin-Seok, Kim2,  Seong Ho, Nah3,  Seong-Su, Lee4,  Ji Hyun, Kim5,  Seong-Kyu, Lee6,  Yeon-Ah, Hong6,  Seung-Jae

Chonnam National University Medical School, Gwangju, South Korea
Konyang University Medical School, Daejeon, South Korea
Dongguk University College of Medicine, Gyeongju, South Korea
Soonchunhyang University College of Medicine, Cheonan, South Korea
Maryknoll Medical Center, Busan, South Korea
Catholic University of Daegu School of Medicine, Daegu, South Korea
School of Medicine, Kyung Hee University, Seoul, South Korea
College of Medicine, Chosun University, Gwangju, South Korea
Hanyang Univ Medical Center, Seoul, South Korea
Ajou University School of Med, Suwon, South Korea

Purpose:

Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, including socioeconomic status, no studies have examined a casual model of HRQOL as an outcome variable in FM patients. We examined the relationships between sociodemograhpic status, physical function, social and psychological factors, and HRQOL, and the effects of physical, psychological, and social influences on HRQOL were assessed in a hypothesized causal model using a structural equation modeling (SEM) approach.

Method:

HRQOL was measured using the SF-36, and a Korean version of the Fibromyalgia Impact Questionnaire (FIQ) was used to assess the physical dysfunction. Social and psychological status were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Self-Efficacy Scale, and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using AMOS software, with the maximum likelihood ratio as the method of estimation.

Results:

Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years (mean±SD). The mean scores of the physical (PCS) and mental (MCS) component summary of the SF-36 were 35.9±7.5 and 33.7±11.8, respectively. The SEM results supported the hypothesized structural model (c2= 2.336, df = 3, p = 0.506). The final model showed that PCS was directly related to self-efficacy and inversely related to FIQ, and MCS was directly related to social support and inversely related to FIQ, BDI, and STAI.

Conclusion:

In our causal model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the physical component of HRQOL, while physical function, depression, anxiety, and social support affect the mental component of HRQOL.

To cite this abstract, please use the following information:
Lee, Shin-Seok, Kim, Seong Ho, Nah, Seong-Su, Lee, Ji Hyun, Kim, Seong-Kyu, Lee, Yeon-Ah, et al; Determinants of the Quality of Life in Patients with Fibromyalgia: a Structural Equation Modeling Approach [abstract]. Arthritis Rheum 2009;60 Suppl 10 :96
DOI: 10.1002/art.25179

Abstract Supplement

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