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心理适应量表(PAS)的编制与验证:在 6 项健康状况或风险适应研究中的应用。

Development and validation of the Psychological Adaptation Scale (PAS): use in six studies of adaptation to a health condition or risk.

机构信息

Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, USA; Health, Behavior and Society, Johns Hopkins Bloomberg, School of Public Health, Baltimore, USA.

出版信息

Patient Educ Couns. 2013 Nov;93(2):248-54. doi: 10.1016/j.pec.2013.05.006. Epub 2013 Aug 28.

Abstract

OBJECTIVE

We introduce The Psychological Adaptation Scale (PAS) for assessing adaptation to a chronic condition or risk and present validity data from six studies of genetic conditions.

METHODS

Informed by theory, we identified four domains of adaptation: effective coping, self-esteem, social integration, and spiritual/existential meaning. Items were selected from the PROMIS "positive illness impact" item bank and adapted from the Rosenberg self-esteem scale to create a 20-item scale. Each domain included five items, with four sub-scale scores. Data from studies of six populations: adults affected with or at risk for genetic conditions (N=3) and caregivers of children with genetic conditions (N=3) were analyzed using confirmatory factor analyses (CFA).

RESULTS

CFA suggested that all but five posited items converge on the domains as designed. Invariance of the PAS amongst the studies further suggested it is a valid and reliable tool to facilitate comparisons of adaptation across conditions.

CONCLUSION

Use of the PAS will standardize assessments of adaptation and foster understanding of the relationships among related health outcomes, such as quality of life and psychological well-being.

PRACTICE IMPLICATIONS

Clinical interventions can be designed based on PAS data to enhance dimensions of psychological adaptation to a chronic health condition or risk.

摘要

目的

我们引入了心理适应量表(PAS)来评估对慢性疾病或风险的适应,并呈现了来自六项遗传疾病研究的有效性数据。

方法

根据理论,我们确定了适应的四个领域:有效应对、自尊、社会融合和精神/存在意义。项目选自 PROMIS“积极疾病影响”项目库,并从罗森伯格自尊量表改编而来,创建了一个 20 项的量表。每个领域包括五个项目,有四个子量表分数。使用来自六项人群研究的数据:受遗传疾病影响或有遗传疾病风险的成年人(N=3)和遗传疾病儿童的照顾者(N=3),使用验证性因素分析(CFA)进行分析。

结果

CFA 表明,除了五个假定的项目外,所有项目都集中在设计的领域上。PAS 在研究中的不变性进一步表明,它是一种有效和可靠的工具,可以促进对不同条件下适应的比较。

结论

使用 PAS 将标准化适应评估,并促进对相关健康结果(如生活质量和心理健康)之间关系的理解。

实践意义

可以根据 PAS 数据设计临床干预措施,以增强对慢性健康状况或风险的心理适应的各个方面。

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