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Logo of bmcmrmBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Medical Research Methodology
 
BMC Med Res Methodol. 2012; 12: 37.
Published online Mar 27, 2012. doi:  10.1186/1471-2288-12-37
PMCID: PMC3364902
Quality of life of Chinese urban community residents: a psychometric study of the mainland Chinese version of the WHOQOL-BREF
Ping Xia,1 Ningxiu Li,corresponding author1 Kit-Tai Hau,2 Chaojie Liu,3 and Yubo Lu4
1Department of Social Medicine, School of Public Health, Sichuan University, Chengdu 610041, China
2Educational Psychology Department, Faculty of Education, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
3China Health Program, School of Public Health, La Trobe University, Bundoora, VIC 3086, Australia
4Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
corresponding authorCorresponding author.
Ping Xia: xiaping1976/at/163.com; Ningxiu Li: liningxiu/at/163.com; Kit-Tai Hau: kthau/at/cuhk.edu.hk; Chaojie Liu: c.liu/at/latrobe.edu.au; Yubo Lu: lyuanzhang/at/126.com
Received June 18, 2011; Accepted March 27, 2012.
Abstract
Background
The short version of the World Health Organization's Quality of Life Instrument (WHOQOL-BREF) is widely validated and popularly used in assessing the subjective quality of life (QOL) of patients and the general public. We examined its psychometric properties in a large sample of community residents in mainland China.
Methods
The WHOQOL-BREF was administered to 1052 adult community residents in a major metropolitan city in southern China. The structural integrity of the 4-factor model in confirmatory factor analyses (CFA) and the relationship of QOL with demographic variables were examined. Validity was assessed using the known-group comparison (229 with vs. 823 without chronic illness), item-domain correlations, and CFA using the ML estimation in LISREL.
Results
Internal consistency reliability of the whole instrument (26 items) was 0.89, and the psychological, social, and environment domains had acceptable reliability (alpha = 0.76, 0.72, 0.78 respectively), while that of the physical domain was slightly lower (α = 0.67). The respective mean scores of these domains were 13.69, 14.11, 12.33 and 14.56. Item-domain correlations were much higher for corresponding domains than for non-corresponding domains, indicating good convergent validity. CFA provided a marginally acceptable fit to the a priori four-factor model when two matching content item pairs were allowed to be correlated; χ2 (244) = 1836, RMSEA = 0.088, NNFI = 0.898, CFI = 0.909. This factorial structure was shown to be equivalent between the participants with and without chronic illness. The differences in means between these two groups were significant but small in some domains; effect size = 0.55, 0.15, 0.18 in the physical, psychological, and social relationship domains respectively. Furthermore, males had significantly higher QOL scores than females in the psychological domain, while individuals with a younger age, higher income, and higher education levels also had significantly higher QOL. Compared with the international data, the Chinese in this study had relatively low QOL scores with about 5% of males and 16% of females being at risk for poor QOL.
Conclusions
This study has provided psychometric properties of the WHOQOL-BREF as used in China and should definitely be useful for researchers who would like to use or further refine the instrument.
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