Pain: its prevalence and correlates among the oldest old

Author:

Bokermann JosephineORCID,König Hans-HelmutORCID,Hajek AndréORCID

Abstract

Abstract Background There is very limited knowledge regarding pain among the oldest old. Aims To investigate the prevalence and correlates of pain among the oldest old. Methods Data were taken from the “Survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)”, including individuals living in North Rhine-Westphalia aged 80 years and over. Pain was categorized as no pain, moderate pain and severe pain. Its prevalence was stratified by sex, age groups, marital status, place of residence and education. A multinomial logistic regression analysis was conducted. Results 28.50% of the participants reported no pain, 45.06% moderate pain and 26.44% severe pain. Regressions showed that being 85 years or older and a better self-rated health status decreased the likelihood of moderate pain. Being 85–89 years old, being male, highly educated and a better self-rated health status decreased the likelihood of severe pain. The likelihood of moderate and severe pain increased with a higher number of chronic diseases. Discussion Study findings showed a high prevalence of pain in the oldest old living in North Rhine-Westphalia, Germany. The likelihood of having moderate or severe pain was reduced among those who were older and presented with a better self-rated health but increased with a growing number of comorbidities. Severe pain was less likely among men and those with a higher education. Conclusion This cross-sectional representative study adds first evidence of prevalence and correlations of pain among the oldest old. Longitudinal studies are required to further explore the determinants of pain in this age group.

Funder

Universitätsklinikum Hamburg-Eppendorf (UKE)

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology,Aging

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