Validation of the Spanish version of the eating disorders quality of life instrument (EDQOL)

饮食失调生活质量量表(EDQOL)西班牙语版的验证

阅读:1

Abstract

BACKGROUND: The Eating Disorders Quality of Life instrument (EDQOL) is a disease-specific health related quality of life self-report questionnaire designed for disordered eating patients. Although the EDQOL is one of the most suitable and widely used questionnaires in many countries, no prior research has addressed the psychometric properties of the Spanish adaptation of the EDQOL. Therefore, the aim of this study is to examine the psychometric properties of the Spanish version of the EDQOL among ED patients. METHODS: 141 female eating disorder patients, with a mean age of 18.06 years (SD = 6.31), completed the EDQL in addition to the Eating Disorder Examination Questionnaire (EDEQ), the Depression, Anxiety and Stress Scales (DASS-21), the Clinical Impairment Assessment (CIA 3.0) and the Health Survey (SF-12). We calculated item/scale characteristics, internal consistencies and bivariate correlations with other measures of quality of life and adjustments. We assessed the goodness-of-fit of the 4-factor model using confirmatory factors analysis and explored the sensitivity of change following skill-based interventions. RESULTS: The fit of the 4-factor model was acceptable (Root Mean Square Error of Approximation: 0.07, Standard Root Mean Square Residual: 0.07). Cronbach's alpha was excellent for the total (.91) and acceptable for all subscales (0.78-0.91). The construct validity was found with measures of psychological distress, depression, anxiety, quality of life and clinical impairment. The psychological and physical/cognitive scales and the EDQOL global scale were responsive to change. CONCLUSION: The Spanish EDQOL version is a useful instrument to assess quality of life in eating disorder patients and to evaluate outcomes of skills-based interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。