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中国患有多种慢性病的老年人中述情障碍、抑郁、焦虑和压力之间的关系:一项网络分析

The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis.

作者信息

Shang Bin, Chen Ruirui, Luo Caifeng, Lv Fei, Wu Jing, Shao Xiao, Li Qian

机构信息

School of Medicine, Jiangsu University, Zhenjiang, China.

Department of Nursing, Jingjiang College, Jiangsu University, Zhenjiang, China.

出版信息

Front Psychiatry. 2023 Jul 17;14:1209936. doi: 10.3389/fpsyt.2023.1209936. eCollection 2023.

Abstract

OBJECTIVE

This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different levels of alexithymia.

METHODS

This study used a cross-sectional survey design and convenience sampling to recruit participants from six cities in Jiangsu Province. The study assessed the levels of alexithymia, depression, anxiety, and stress in older adults with MCC using the Toronto Alexithymia Scale (TAS-20) and the Depression Anxiety and Stress Scale-21 (DASS-21). Network analysis was performed using R language to identify core and bridge symptoms in the network and compare the network structure across different levels of alexithymia.

RESULTS

A total of 662 participants were included in the analysis, including 395 men and 267 women. The mean age was 70.37 ± 6.92 years. The finding revealed that the "Difficulty Identifying Feelings" (DIF) node had the highest strength centrality (strength = 2.49) and predictability (rp = 0.76) in the network. The next highest strength centrality was observed for "Meaningless" (strength = 1.50), "Agitated" (strength = 1.47), "Scared" (strength = 1.42), and "No look forward" (strength = 0.75). They were identified as core symptoms. The bridge strength analysis identified "Panic," "Scared," "No wind down," "No initiative," and "No positive" as the bridge symptoms. There were notable differences in the overall network structure and specific connections between the groups with and without alexithymia ( < 0.05).

CONCLUSION

"DIF" is a core node in the network of older adults with MCC, indicating its significance as a potential target for psychological interventions in clinical practice. Preventing and mitigating bridge symptoms such as "panic," "Scared," "No wind down," "No initiative," and "No positive" can effectively impede the spread of symptom activation, thereby interrupting or severing the connections among comorbidities in older adults. Additionally, compared to non-alexithymia individuals, the psychological issues of older adults with alexithymia require prioritized intervention from healthcare professionals.

摘要

目的

本研究旨在构建一个网络结构,以调查患有多种慢性病(MCC)的中国老年人中述情障碍、抑郁、焦虑和压力之间的联系,识别核心症状和桥梁症状,并比较不同述情障碍水平下的网络结构。

方法

本研究采用横断面调查设计和便利抽样方法,从江苏省六个城市招募参与者。研究使用多伦多述情障碍量表(TAS - 20)和抑郁焦虑压力量表 - 21(DASS - 21)评估患有MCC的老年人的述情障碍、抑郁、焦虑和压力水平。使用R语言进行网络分析,以识别网络中的核心症状和桥梁症状,并比较不同述情障碍水平下的网络结构。

结果

共有662名参与者纳入分析,其中男性395名,女性267名。平均年龄为70.37±6.92岁。研究发现,“难以识别情感”(DIF)节点在网络中具有最高的强度中心性(强度 = 2.49)和可预测性(rp = 0.76)。其次强度中心性较高的是“无意义”(强度 = 1.50)、“激动”(强度 = 1.47)、“害怕”(强度 = 1.42)和“无期待”(强度 = 0.75)。它们被确定为核心症状。桥梁强度分析确定“恐慌”、“害怕”、“无法放松”、“无主动性”和“无积极性”为桥梁症状。有无述情障碍的组在整体网络结构和具体联系方面存在显著差异(<0.05)。

结论

“DIF”是患有MCC的老年人网络中的核心节点,表明其作为临床实践中心理干预潜在靶点的重要性。预防和减轻“恐慌”、“害怕”、“无法放松”、“无主动性”和“无积极性”等桥梁症状可有效阻碍症状激活的传播,从而中断或切断老年人共病之间的联系。此外,与无述情障碍的个体相比,患有述情障碍的老年人的心理问题需要医疗保健专业人员优先干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/201d/10389667/c7d9e10b9c38/fpsyt-14-1209936-g001.jpg

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