社区居住老年癌症幸存者的跌倒风险：老年护理护士的预测模型
Fall risk in community-dwelling elderly cancer survivors: a predictive model for gerontological nurses.
作者信息
Spoelstra Sandra, Given Barbara, von Eye Alexander, Given Charles
机构信息
Michigan State University College of Nursing, East Lansing, Michigan 48824, USA.
出版信息
J Gerontol Nurs. 2010 Feb;36(2):52-60. doi: 10.3928/00989134-20100108-01. Epub 2010 Feb 5.
Abstract
The aim of this predictive study was to test a structural model to establish predictors of fall risk in elderly cancer survivors. An aging and nursing model of care was synthesized and used to examine the Minimum Data Set for 6,912 low-income older adult participants in a community setting in the midwestern United States. Data analysis established relationships among fall risk and age, race/ethnicity, history of a previous fall, depression, pain, activities of daily living, instrumental activities of daily living, incontinence, vision, and cognitive status. Factors leading to fall risk can direct nursing activities that have the potential to prevent falls, thus improving older adults' quality of life.
摘要
这项预测性研究的目的是测试一个结构模型，以确定老年癌症幸存者跌倒风险的预测因素。综合了一个老龄化与护理照护模型，并用于研究美国中西部社区环境中6912名低收入老年人参与者的最小数据集。数据分析确定了跌倒风险与年龄、种族/民族、既往跌倒史、抑郁、疼痛、日常生活活动、工具性日常生活活动、失禁、视力和认知状态之间的关系。导致跌倒风险的因素可以指导有可能预防跌倒的护理活动，从而提高老年人的生活质量。
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