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适应慢性健康状况。

Adjusting to Chronic Health Conditions.

机构信息

Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213; email:

出版信息

Annu Rev Psychol. 2017 Jan 3;68:545-571. doi: 10.1146/annurev-psych-010416-044014.

Abstract

Research on adjustment to chronic disease is critical in today's world, in which people are living longer lives, but lives are increasingly likely to be characterized by one or more chronic illnesses. Chronic illnesses may deteriorate, enter remission, or fluctuate, but their defining characteristic is that they persist. In this review, we first examine the effects of chronic disease on one's sense of self. Then we review categories of factors that influence how one adjusts to chronic illness, with particular emphasis on the impact of these factors on functional status and psychosocial adjustment. We begin with contextual factors, including demographic variables such as sex and race, as well as illness dimensions such as stigma and illness identity. We then examine a set of dispositional factors that influence chronic illness adjustment, organizing these into resilience and vulnerability factors. Resilience factors include cognitive adaptation indicators, personality variables, and benefit-finding. Vulnerability factors include a pessimistic attributional style, negative gender-related traits, and rumination. We then turn to social environmental variables, including both supportive and unsupportive interactions. Finally, we review chronic illness adjustment within the context of dyadic coping. We conclude by examining potential interactions among these classes of variables and outlining a set of directions for future research.

摘要

慢性病的调整研究在当今世界至关重要,人们的寿命越来越长,但生活越来越有可能被一种或多种慢性病所特征化。慢性病可能恶化、缓解或波动,但它们的定义特征是持续存在。在这篇综述中,我们首先研究了慢性病对自我意识的影响。然后,我们回顾了影响人们适应慢性病的因素类别,特别强调了这些因素对功能状态和心理社会适应的影响。我们从背景因素开始,包括性别和种族等人口统计学变量,以及污名和疾病认同等疾病维度。然后,我们研究了一组影响慢性病调整的特质因素,将这些因素组织成韧性和脆弱性因素。韧性因素包括认知适应指标、人格变量和发现益处。脆弱性因素包括悲观的归因风格、消极的性别相关特征和沉思。然后,我们转向社会环境变量,包括支持性和非支持性的互动。最后,我们在对偶应对的背景下研究慢性病的调整。最后,我们检查了这些变量类别的潜在相互作用,并概述了未来研究的一系列方向。

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