Use of personal call alarms among community-dwelling older people

Author:

NYMAN SAMUEL R.,VICTOR CHRISTINA R.

Abstract

ABSTRACTHaving a fall and then lying on the floor for an hour or more is known as a ‘long lie’, which is associated with serious injury and an elevated risk of admission to hospital, long-term care and death. Personal call alarms are designed to prevent long lies, although little is known about their use. Using cross-sectional data from the English Longitudinal Study on Ageing, this study investigated the proportion of self-reported users of personal call alarms among 3,091 community-dwelling adults aged 65+ who reported difficulties of mobility or activities of daily living. The characteristics of users were then explored through logistic regressions comparing those living alone with those living with others. One hundred and eighty people self-reported using a personal call alarm (6%). Multivariate regression found the following to significantly predict personal call alarm use among both those living alone and with others: greater difficulty with activities/instrumental activities of daily living, older age, and for those living with others only: lower score on the quality of life subscale for control. Personal call alarm use may be markedly lower than the 30 per cent annual incidence of falls among community-dwelling older people. Better understanding is needed of the reasons for low usage, even amongst those at highest falls risk for whom such alarms are most likely to be beneficial.

Publisher

Cambridge University Press (CUP)

Subject

Public Health, Environmental and Occupational Health,Geriatrics and Gerontology,Arts and Humanities (miscellaneous),Social Psychology,Health (social science)

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