Yang Peidan, Chen Zhixin, Chen Yimin Talia, Liu Minying, Zhang Mingying, Yang Xiangwei, Lin Changsong, Xu Qiang
Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China (mainland).
First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China (mainland).
Med Sci Monit. 2020 Sep 29;26:e925593. doi: 10.12659/MSM.925593.
BACKGROUND To use a gout-specific quality of life (QoL) tool, the Gout Impact Scale (GIS), to evaluate characteristics of gout affecting QoL in subjects with gout. MATERIAL AND METHODS In this cross-sectional study, 169 individuals with gout completed the 24-item GIS and a general questionnaire regarding gout characteristics. The reliability and validity of the GIS were verified by Cronbach's a and exploratory factor analysis, respectively. The impact of gout characteristics on the QoL of subjects with gout was assessed by stepwise multiple regression analysis. RESULTS The 169 subjects with gout included 149 (88.2%) men and 20 (11.8%) women, of median age 43 years. The reliability of the GIS was appropriate (0.84-0.90), except for Gout Medication Side Effects (0.69) and Unmet Gout Treatment Need (0.59). Exploratory factor analysis showed that construct validity was acceptable, with a cumulative variance contribution rate of 5 common factors of 70.09% and factor loading >0.5 between each pair of items of the GIS. Univariate analysis showed that male sex was positively correlated with Well-being During Attack (p<0.05), and that source of medical expenses, current cigarette use and drinking were significantly correlated with Unmet Gout Treatment Need (p<0.05 each). A family history of gout, gout flares, and attack frequency were significantly correlated with total GIS, Well-being During Attack, and Gout Concern during Attack (p<0.05 each). Multivariate analysis suggested that history of gouty arthritis, acute attack and attack frequency had a considerable impact on QoL (p<0.05 each). CONCLUSIONS The GIS showed acceptable reliability and validity in identifying associations between poor QoL and gout characteristics.
使用痛风特异性生活质量(QoL)工具——痛风影响量表(GIS),评估痛风对痛风患者生活质量的影响特征。
在这项横断面研究中,169例痛风患者完成了24项的GIS以及一份关于痛风特征的一般问卷。分别通过克朗巴哈系数(Cronbach's α)和探索性因子分析验证GIS的信度和效度。采用逐步多元回归分析评估痛风特征对痛风患者生活质量的影响。
169例痛风患者中,男性149例(88.2%),女性20例(11.8%),中位年龄43岁。除痛风药物副作用(0.69)和未满足的痛风治疗需求(0.59)外,GIS的信度良好(0.84 - 0.90)。探索性因子分析显示结构效度可接受,GIS的5个共同因子累积方差贡献率为70.09%,且各项目间因子载荷>0.5。单因素分析显示,男性与发作期幸福感呈正相关(p<0.05),医疗费用来源、当前吸烟和饮酒与未满足的痛风治疗需求显著相关(均p<0.05)。痛风家族史、痛风发作和发作频率与GIS总分、发作期幸福感及发作期痛风关注度显著相关(均p<0.05)。多因素分析表明,痛风性关节炎病史、急性发作和发作频率对生活质量有显著影响(均p<0.05)。
GIS在识别生活质量差与痛风特征之间的关联方面显示出可接受的信度和效度。