||Asiandi Asiandi1, Miaofen Yen2
||1Institute of Allied Health Science, College of Medicine, National Cheng Kung University, Tainan, Taiwan, Tainan City, Taiwan, 2Department of Nursing and Institute of Allied Health Science, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
|Country - ies of focus
|Relevant to the conference tracks
||This study found new evidence in the measurement of health related quaity of life in adult with metabolic syndrome (MetS). The main result found that there was a difference in HRQoL results measuring with SF-36 and EQ-5D and EQ-VAS.
||The interrelationship between metabolic syndrome (MetS) and risk of diseases has consequences in that the impaired health-related quality of life (HRQOL) can become a burden.
||The objective of this review was to estimate the HRQOL in adults with MetS measured with SF-36 and EQ-5D/EQ-VAS.
||This systematic review and meta-analysis was conducted by following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) as a guideline. Articles published from 1983 to 2013 were searched from four databases: PubMed, Medline (Ovid), Scopus, and Web of Science. Two reviewers independently assessed the eligibility of the studies for inclusion in the review on the basis of the strength and quality of articles and extracts of eligible studies.
||The seven studies which met the criteria of appraisal were included in the systematic review and meta-analysis. All of studies included used a cross-sectional study design with the quality of the evidence A or high quality (n = 3) and B or good quality (n = 4). Based on inverse variance of random effect model test, the results showed that four of SF-36 domains in HRQOL measurements were not significant in heterogeneity (physical functioning, general health, social functioning, and physical components summary), however showed a significant in effect size. Conversely, other SF-36 domains (role emotional, role physical, body pain, vitality, mental health, and mental component summary) showed a significant heterogeneity but did not illustrate a significant effect size. Overall, MetS was associated with significantly reduced HRQOL measured using SF-36 (SMD -0.23; 95% CI -0.29, -0.17; pp <0.00001). Test of heterogeneity was significant (I2 = 72%; p < 0.00001). However, the test for subgroup differences was not significant (I2 = 1.3%; p = 0.43). MetS was not associated with significantly reduced EQ-5D (SMD -5.65; 95% CI -16.06, 4.43; p = 0.27) with a significant high heterogeneity (I2 = 100%; p <0.00001). Similarly, MetS was not associated with significantly reduced EQ-VAS (SMD -5.63; 95% CI -16.29, 5.02; p = 0.30) with a significant high heterogeneity (I2 = 100%; p <0.00001).
||The evidence illustrated that MetS was associated with significantly reduced HRQOL measured using SF-36. However, MetS was not associated with significantly reduced HRQOL measured using EQ-5D and EQ-VAS. The greater heterogeneity in this meta-analysis has confirmed the need to avoid the generalizability of study results.