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慢性病中生活方式干扰的结构:疾病侵扰评定量表的验证性因素分析

Structure of lifestyle disruptions in chronic disease: a confirmatory factor analysis of the Illness Intrusiveness Ratings Scale.

作者信息

Devins G M, Dion R, Pelletier L G, Shapiro C M, Abbey S, Raiz L R, Binik Y M, McGowan P, Kutner N G, Beanlands H, Edworthy S M

机构信息

Culture, Community, and Health Studies Program, Centre for Addiction and Mental Health (Clarke Division), Toronto, ON, Canada.

出版信息

Med Care. 2001 Oct;39(10):1097-104. doi: 10.1097/00005650-200110000-00007.

Abstract

BACKGROUND

The Illness Intrusiveness Ratings Scale (IIRS) measures the extent to which disease or its treatment or both interfere with activities in important life domains. Before comparing IIRS scores within or across groups it is crucial to determine whether a common underlying factor structure exists across patient populations.

OBJECTIVE

To investigate the factor structure underlying the IIRS and evaluate its stability across diagnoses.

METHODS

IIRS responses from 5,671 respondents were pooled from 15 separate studies concerning quality of life in eight patient groups: rheumatoid arthritis; osteoarthritis; systemic lupus erythematosus; multiple sclerosis; end-stage renal disease (maintenance dialysis); renal transplantation; heart, liver, and lung transplantation; and insomnia. Data were gathered by different methods (eg, interview, self-administered, mail survey) and in diverse contexts (eg, individual vs. group).

RESULTS

Exploratory maximum-likelihood factor analysis identified three underlying factors in a randomly selected subset of respondents (n = 400), corresponding to "Relationships and Personal Development," "Intimacy," and "Instrumental" life domains. Confirmatory factor analysis corroborated the stability of this structure in an independent subsample (n = 2100). Complementary goodness-of-fit indices confirmed the consistency of the three-factor solution, corroborating that IIRS scores are uniquely defined across patient populations. Coefficient alpha was high for total and subscale scores.

CONCLUSIONS

IIRS scores can be compared meaningfully within and across patient groups. Both total and subscale scores can be used depending on research objectives.

摘要

背景

疾病侵扰评定量表(IIRS)用于衡量疾病或其治疗或两者对重要生活领域活动的干扰程度。在比较组内或组间的IIRS分数之前,确定不同患者群体中是否存在共同的潜在因素结构至关重要。

目的

探讨IIRS的潜在因素结构,并评估其在不同诊断中的稳定性。

方法

从15项关于八个患者群体生活质量的独立研究中汇总了5671名受访者的IIRS回答,这些患者群体包括:类风湿性关节炎;骨关节炎;系统性红斑狼疮;多发性硬化症;终末期肾病(维持性透析);肾移植;心脏、肝脏和肺移植;以及失眠症。数据通过不同方法(如访谈、自填式、邮寄调查)收集,且收集背景多样(如个体与群体)。

结果

探索性最大似然因子分析在随机选择的受访者子集(n = 400)中确定了三个潜在因素,分别对应“人际关系与个人发展”、“亲密关系”和“工具性”生活领域。验证性因子分析证实了该结构在独立子样本(n = 2100)中的稳定性。补充的拟合优度指标证实了三因素解决方案的一致性,证实了IIRS分数在不同患者群体中具有独特的定义。总量表和分量表分数的α系数都很高。

结论

IIRS分数可以在患者组内和组间进行有意义的比较。可根据研究目的使用总量表和分量表分数。

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