Depressive and Insomnia Symptoms Among Older Adults With Different Chronic Pain Trajectories: A Network Analysis Based on Observation Over an Eight-Year Period

IF 3.3 2区 医学 Q1 PSYCHIATRY
He-Li Sun, Pan Chen, Wei Bai, Yuan Feng, Sha Sha, Zhaohui Su, Teris Cheung, Chee H. Ng, Qinge Zhang, Yu-Tao Xiang
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Abstract

Background: Depressive and insomnia symptoms are common among older adults with chronic pain. We aimed to examine different chronic pain trajectories of older adults over an 8-year observation period and explore the network structures of depression and insomnia in each chronic pain group.

Methods: The trajectories of pain in the USA-based Health and Retirement Study (HRS) data from 2010 to 2018 were examined using latent class growth analyses (LCGA) method. Depressive and insomnia symptoms were measured with the eight-item version of the Center for Epidemiological Studies Depression (CESD-8) Scale and the four-item Jenkins Sleep Scale (JSS-4), respectively. Network models were constructed using the Ising model. Central symptoms and bridge symptoms were identified via expectedInfluence (EI) and bridge EI, respectively.

Results: A total of 11,132 older adults were included in the trajectory analysis, with three chronic pain trajectories identified, including “severe pain trajectory,” “moderate pain trajectory,” and “non or mild pain trajectory”. From these trajectories, “Lack of happiness” (CESD4), “Feeling depressed” (CESD1), and “Feeling sad” (CESD7) emerged as the most central symptoms, while “Feeling tired in the morning” (JSS4) was identified as the key bridge symptom. However, the findings may not be generalizable to other parts of the world outside the USA.

Conclusion: Older adults with different chronic pain trajectories exhibited similar depression and insomnia network structure. Implementing timely interventions that target central and bridge symptoms might mitigate the co-occurrence of depression and insomnia in this population.

Abstract Image

不同慢性疼痛轨迹的老年人抑郁和失眠症状:基于8年观察的网络分析
背景:抑郁和失眠症状在老年慢性疼痛患者中很常见。我们的目的是在8年的观察期内研究老年人不同的慢性疼痛轨迹,并探索每个慢性疼痛组的抑郁和失眠的网络结构。方法:采用潜在分类增长分析(LCGA)方法,对2010年至2018年美国健康与退休研究(HRS)数据中的疼痛轨迹进行研究。抑郁和失眠症状分别用流行病学研究中心抑郁量表(csd -8)和詹金斯睡眠量表(JSS-4)的八项版本进行测量。利用Ising模型构建网络模型。中心症状和桥状症状分别通过预期影响(EI)和桥状EI确定。结果:共有11,132名老年人参与了轨迹分析,确定了三种慢性疼痛轨迹,包括“重度疼痛轨迹”、“中度疼痛轨迹”和“非或轻度疼痛轨迹”。在这些轨迹中,“缺乏幸福”(CESD4)、“感到沮丧”(CESD1)和“感到悲伤”(CESD7)是最核心的症状,而“早晨感到疲倦”(JSS4)被确定为关键的桥状症状。然而,这些发现可能不能推广到美国以外的世界其他地区。结论:不同慢性疼痛轨迹的老年人表现出相似的抑郁和失眠网络结构。及时实施针对中枢和桥症状的干预措施可能会减轻这一人群中抑郁症和失眠的共存。
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来源期刊
Depression and Anxiety
Depression and Anxiety 医学-精神病学
CiteScore
15.00
自引率
1.40%
发文量
81
审稿时长
4-8 weeks
期刊介绍: Depression and Anxiety is a scientific journal that focuses on the study of mood and anxiety disorders, as well as related phenomena in humans. The journal is dedicated to publishing high-quality research and review articles that contribute to the understanding and treatment of these conditions. The journal places a particular emphasis on articles that contribute to the clinical evaluation and care of individuals affected by mood and anxiety disorders. It prioritizes the publication of treatment-related research and review papers, as well as those that present novel findings that can directly impact clinical practice. The journal's goal is to advance the field by disseminating knowledge that can lead to better diagnosis, treatment, and management of these disorders, ultimately improving the quality of life for those who suffer from them.
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