Quality of Life After Stroke

Author:

King Rosemarie B.1

Affiliation:

1. Northwestern University Medical School, Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Ill.

Abstract

Background and Purpose The purposes of this study were to examine overall and domain-specific quality of life in long-term stroke survivors and to identify variables that predict quality of life after stroke. Methods The study used a cross-sectional, descriptive correlational design. Subjects were 86 stroke survivors who were interviewed 1 to 3 years after stroke. Quality of life was measured with the use of an instrument that assesses satisfaction and importance for four domains (health and functioning, socioeconomic, family, and psychological-spiritual). Independent variables were age, social class, aphasia, functional status, motor impairment, depression, comorbidity, and perceived social support. Multiple regression analysis was used to predict quality of life. Results Thirty percent of subjects scored in the depressed range. The mean overall quality of life score was relatively high and was comparable to that of a normative population. Quality of life was highest for the family domain and lowest for health and functioning. Depression, perceived social support, and functional status predicted quality of life (adjusted R 2 =.38) and contributed to prediction of domain quality of life. Social support and three additional variables, social class, age, and cardiovascular disease, predicted socioeconomic quality of life. Conclusions The identification of depression, social support, and functional status as predictors of quality of life suggests the need to assist stroke survivors in coping and in maintaining and strengthening their support systems. (Stroke. 1996;27:1467-1472.)

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3