Association between Types of Pain Change and Depression among Korean Older Adults: Using Latent Growth Model (Preprint)

Author:

Jeong Kyu-HyoungORCID,Son Hye-GyeongORCID,Kim SungheeORCID,Ryu Ju HyunORCID,Lee SeoyoonORCID

Abstract

BACKGROUND

Over the past few decades, the average human life expectancy has increased ever in the world. Many under-represented issues in the lives of older adults have been neglected due to the fact that they span multiple domains; pain is one of the issues.

OBJECTIVE

The purpose of this study is to identify the types of pain changes that affect older Koreans 65 years and over, as well as their effects on depression.

METHODS

We analyzed the Korean Longitudinal Study of Aging (KLoSA) data collected from 2010 (3rd) to 2018 (7th). A data of total of 1,359 participants, aged 65 or older were used to estimate the change in pain. A latent growth model was performed to estimate the overall change in pain and Growth Mixture Modeling (GMM) was performed to categorize the types of pain changes. Lastly, multiple regression analysis was performed to examine the effect of pain change types on depression among older adults.

RESULTS

The pain changes of older adults were classified into two categories: 'low-stable' (87.9%, n=1,194), and 'high increasing' (12.1%, n=165). The depression showed a stronger relationship among the high-increasing type of pain than the low-stable type (B=.844, p<.001). Upon examining the differences in demographic characteristics by type, the high-increasing type had a higher percentage of women, lower-income, relatively low educational attainment, and a higher percentage of rural residents than the low-stable type.

CONCLUSIONS

The significance of this study lies in the fact that it reiterated the importance of early pain diagnosis and intervention by identifying the types of pain changes in older adults and analyzing their effects on depression. Therefore, it is especially important to pay attention to interventions that are designed to help vulnerable groups with a high risk of pain obtain effective pain management.

Publisher

JMIR Publications Inc.

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