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癌症生活领域满意度量表(SLDS-C)的因子结构与同时效度

Factor structure and concurrent validity of the Satisfaction with Life Domains Scale for Cancer (SLDS-C).

作者信息

Baker Frank, Denniston Maxine, Hann Danette, Gesme Dean, Reding Douglas J, Flynn Thomas, Kennedy John S

机构信息

American Cancer Society, Atlanta, GA, USA.

出版信息

J Psychosoc Oncol. 2007;25(2):1-17. doi: 10.1300/j077v25n02_01.

DOI:10.1300/j077v25n02_01
PMID:17613482
Abstract

The Satisfaction with Life Domains Scale for Cancer (SLDS-C) is a brief self-report measure of quality of life that uses a familiar and easily understood graphic response format of smiling and frowning faces. This article explores the factor structure and further examines the validity of the SLDS-C compared with another cancer specific quality-of-life measure, the Functional Assessment of Cancer Therapy Scale-General (FACT-G), in a sample of patients with a variety of cancer diagnoses. A self-administered questionnaire containing the SLDS-C and the FACT-G was completed by 352 adult cancer survivors who were at various points post diagnosis. Three SLDS-C factor subscales were derived from analyses of these data: "Life as a Whole," "Daily Activities," and "Social Relationships." Evidence for the concurrent validity of the SLDS-C is presented, including its correlation with the total score of the FACT-G (r = .76) and its correlation with subscale scores of this widely used cancer quality-of-life measure. The SLDS-C has a high level of internal consistency (alpha = .94), and differences in SLDS-C total scores were found for time since diagnosis, number of diagnoses, spread of disease, type of cancer, and treatment status.

摘要

癌症生活领域满意度量表(SLDS-C)是一种简短的生活质量自我报告测量工具,它采用了一种人们熟悉且易于理解的笑脸和皱眉脸图形反应格式。本文探讨了该量表的因子结构,并在一组患有各种癌症诊断的患者样本中,与另一种癌症特异性生活质量测量工具——癌症治疗功能评估量表通用版(FACT-G)相比,进一步检验了SLDS-C的效度。一份包含SLDS-C和FACT-G的自填式问卷由352名成年癌症幸存者完成,他们处于诊断后的不同阶段。通过对这些数据的分析得出了三个SLDS-C因子子量表:“整体生活”“日常活动”和“社会关系”。文中给出了SLDS-C同时效度的证据,包括其与FACT-G总分的相关性(r = 0.76)以及与这种广泛使用的癌症生活质量测量工具子量表得分的相关性。SLDS-C具有较高的内部一致性(α = 0.94),并且发现SLDS-C总分在诊断后的时间、诊断次数、疾病扩散情况、癌症类型和治疗状态方面存在差异。

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