The association of pain phenotype and providing caregiving with depressive symptom trajectory for older adults: a longitudinal analysis using the health and retirement study

疼痛表型和照护行为与老年人抑郁症状轨迹的关联:一项基于健康与退休研究的纵向分析

阅读:1

Abstract

BACKGROUND: This study aims to analyze the association between different pain phenotypes and depressive symptom trajectory among community-dwelling older adults, and whether and how providing caregiving render older adults with pain more prone to a deteriorating depressive trajectory. METHODS: Data were derived from the Health and Retirement Study between 2008 and 2020. Older adults were classified into different pain phenotypes leveraging four pain characteristics at baseline (i.e. 2008) using latent class analysis, including pain intensity, pain interference, pain location, and pain persistence. Caregiving status was collected at baseline using helper lists. Depressive symptoms were measured biennially from 2008 to 2020. Linear mixed models were constructed to explore the independent and interacted effects of pain phenotypes and providing caregiving on depressive symptom trajectory. RESULTS: Among 8486 participants aged 60 years old or over (58.8% females, and mean age of 74.28), four pain phenotypes were identified: Severe-persistent pain group (15.0%), Moderate pain group (17.3%), Back pain group (7.0%), and Pain-free group (60.7%). Compared to the Pain-free group, other three pain subtypes exhibited higher baseline depression symptoms with a gradient trend. Older adults with Severe-persistent pain had a significantly slower rate of depression symptom increase. Caregiving did not moderate the impact of any pain subtype on baseline depression symptoms, but it significantly reduced the rate of increase in depression symptoms for both Severe-persistent pain group and Back pain group. CONCLUSIONS: Pain phenotype-informed depression services should be delivered. Promoting the caregiving benefit finding for the elderly would contribute to the remission of depressive symptom.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。