Theoretically Based Factors Associated With Stroke Family Caregiver Health.

Cleopatra Kum, Holly J Jones, Elaine L Miller, Natalie Kreitzer, Tamilyn Bakas
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Abstract

Purpose: Most persons who have had strokes are cared for at home by family members-many of whom experience depressive symptoms and quality of life changes as a result of providing care. The objective of this study is to determine theoretically based factors associated with unhealthy days in stroke family caregivers.

Research design and methods: Secondary data analysis was conducted using baseline data from a large randomized controlled clinical trial testing the Telephone Assessment and Skill-Building Kit program with 254 family caregivers of persons who have had strokes. Guided by a conceptual model derived from Lazarus' transactional approach to stress, data were analyzed using multiple regression with unhealthy days as the dependent variable and theoretically based factors as independent variables.

Results: Caregivers were mostly female (78%), White (71%), spouses (47%), or adult children (29%). Caregivers reported nine unhealthy days on average within the past month. A total of 37.8% of the variance in unhealthy days was explained by caregiver task difficulty, level of optimism, threat appraisal, depressive symptoms, and life changes with depressive symptoms being the strongest individual predictor because of shared variance.

Clinical relevance: Unhealthy days is an important part of stroke family caregiver health. Factors associated with unhealthy days in this study provide areas to consider in future intervention development.

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中风家庭护理人员健康的相关理论因素。
目的:大多数脑卒中患者都是由家人在家照顾的--其中很多人因为提供照顾而出现抑郁症状和生活质量变化。本研究旨在从理论上确定与中风家庭护理人员不健康日相关的因素:利用一项大型随机对照临床试验的基线数据进行了二次数据分析,该试验对 254 名脑卒中患者的家庭照护者进行了电话评估和技能建设工具包计划测试。在拉扎勒斯(Lazarus)的压力交易方法衍生出的概念模型指导下,我们使用多元回归法对数据进行了分析,并将不健康天数作为因变量,将基于理论的因素作为自变量:照顾者多为女性(78%)、白人(71%)、配偶(47%)或成年子女(29%)。照护者报告在过去一个月中平均有 9 天不健康。在不健康天数的变异中,共有 37.8% 是由照顾者的工作难度、乐观程度、威胁评估、抑郁症状和生活变化所解释的,其中抑郁症状是最强的个体预测因素,因为它们具有共同的变异性:不健康工作日是脑卒中家庭照顾者健康的重要组成部分。本研究中与不健康日相关的因素为未来干预措施的开发提供了可考虑的领域。
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