Stucky Brian D, Sherbourne Cathy D, Edelen Maria Orlando, Eberhart Nicole K
RAND Corporation, Santa Monica, CA, USA
RAND Corporation, Santa Monica, CA, USA.
Eur Respir J. 2015 Sep;46(3):680-7. doi: 10.1183/09031936.00225014. Epub 2015 Apr 16.
This study identifies the unique contributions of asthma severity, symptoms, control and generic measures of quality of life (QoL) to asthma-specific QoL, as measured by the 12-item RAND Negative Impact of Asthma on Quality of Life scale (RAND-IAQL-12).Using a sample of 2032 adults with asthma, we conducted multiple regression analyses that sequentially examined hypothesised predictors of asthma-specific QoL. The change in variance accounted for and total unique variance accounted for is calculated as hypothesised predictors are added in each step.Our results indicate that asthma severity and asthma symptoms are strong predictors of asthma-specific QoL only when not controlling for aspects of asthma control. In regression models that include other aspects of asthma control, the contributions of both asthma symptoms and severity were substantially reduced, with asthma control and aspects of QoL related to social roles and activities emerging as the strongest predictors of asthma-specific QoL.These findings suggest that researchers measuring the impact of asthma on QoL should also consider the importance of asthma control as measured by the RAND Asthma Control Measure (RAND-ACM) and generic QoL scales that measure aspects of daily life that are uniquely affected by asthma.
本研究确定了哮喘严重程度、症状、控制情况以及生活质量(QoL)的一般指标对哮喘特异性生活质量的独特贡献,这是通过12项兰德哮喘对生活质量的负面影响量表(RAND-IAQL-12)来衡量的。我们以2032名成年哮喘患者为样本,进行了多元回归分析,依次检验哮喘特异性生活质量的假设预测因素。随着在每一步中添加假设预测因素,计算所解释的方差变化和总共独特解释的方差。我们的结果表明,仅在不控制哮喘控制方面时,哮喘严重程度和哮喘症状才是哮喘特异性生活质量的强预测因素。在包含哮喘控制其他方面的回归模型中,哮喘症状和严重程度的贡献均大幅降低,哮喘控制以及与社会角色和活动相关的生活质量方面成为哮喘特异性生活质量的最强预测因素。这些发现表明,测量哮喘对生活质量影响的研究人员还应考虑通过兰德哮喘控制量表(RAND-ACM)以及测量受哮喘独特影响的日常生活方面的一般生活质量量表所衡量的哮喘控制的重要性。
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