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Frontiers in psychiatry. 2025 May 28:16:1576964. doi: 10.3389/fpsyt.2025.1576964 Q23.22025

Network of anxiety and depression symptoms in older Chinese adults living alone: a cross-sectional study

一项横断面研究:中国老年人独居焦虑和抑郁症状网络分析 翻译改进

Wenqin Chen  1  2, Xin Zhao  3, Tao Xu  4, Linghui Fang  2, Chen Hong  5, Yiqian Xie  6, Weiman Yan  5, Xiaolu Zhou  1, Yang He  5

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作者单位

  • 1 School of Education, Shanghai Normal University, Shanghai, China.
  • 2 Teacher Education College, Hunan City University, Yiyang, Hunan, China.
  • 3 College of Educational Sciences, Xinyang Normal University, Xinyang, Henan, China.
  • 4 Department of Psychology, Second Sanatorium of Air Force Healthycare Center for Special Services Hangzhou, Hangzhou, China.
  • 5 School of Psychology, Shanghai Normal University, Shanghai, China.
  • 6 Manufacturing department, Xi'an Changli Oil & Gas Engineering & Technical Services Co., Xian, Shaanxi, China.
  • DOI: 10.3389/fpsyt.2025.1576964 PMID: 40502831

    摘要 中英对照阅读

    Background: With the rapid aging of China's population, the proportion of older adults living alone has increased significantly, bringing their mental health concerns into sharp focus. This study aims to explore the network structure of anxiety and depressive symptoms among older Chinese adults who live alone, thereby identifying central and bridging symptoms to provide scientific evidence for potential intervention targets in prevention and treatment.

    Methods: A total of 1,952 older Chinese adults, aged 65 and older, living alone, were selected from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted in 2017-2018. We assessed anxiety and depressive symptoms using Generalized Anxiety Disorder Scale (GAD-7) and the Center for Epidemiologic Studies Depression Scale (CES-D). We identified central and bridge symptoms via expected influences (EI) and bridge expected influences (BEI); network stability was evaluated using bootstrap methods.

    Results: The network structure uncovered four crucial connections between anxiety and depressive symptoms. GAD4 "Trouble relaxing", GAD2 "Uncontrollable worry", and CESD3 "Feeling blue/depressed" exhibited the highest EI values within the network. Meanwhile, GAD1 "Nervousness or anxiety" and CESD10 "Sleep disturbances" showed the highest BEI values within their respective communities.

    Conclusion: This exploratory study is the first to examine the reciprocal relationship between depressive and anxiety symptoms in older Chinese adults living alone. Targeting these central and bridging symptoms may effectively prevent comorbidity and facilitate targeted interventions for those at risk or currently experiencing these symptoms.

    Keywords: anxiety; depression; living alone; network analysis; older adults.

    Keywords:network of symptoms; anxiety and depression; older adults; cross-sectional study

    背景: 随着中国人口老龄化的加速,独居老年人的比例显著增加,引起了人们对他们心理健康问题的关注。本研究旨在探讨中国独居老年人焦虑和抑郁症状的网络结构,从而识别出核心和桥梁症状,为预防和治疗潜在干预目标提供科学依据。

    方法: 总共选取了1,952名65岁及以上、独自生活的中国老年人作为研究对象,这些数据来源于2017-2018年进行的《中国纵向健康长寿调查》(CLHLS)。我们使用广泛性焦虑障碍量表(GAD-7)和流行病学研究中心抑郁量表(CES-D)来评估焦虑和抑郁症状。通过预期影响(EI)和桥梁预期影响(BEI)识别核心和桥梁症状;并通过引导法(bootstrap methods)评价网络稳定性。

    结果: 研究揭示了焦虑与抑郁症状之间存在四个关键的连接。GAD4“难以放松”、GAD2“无法控制的担忧”以及CESD3“感觉沮丧/抑郁”的EI值在网络中最高,而GAD1“紧张或焦虑”和CESD10“睡眠障碍”的BEI值在各自社区内最高。

    结论: 这项探索性研究是首次探讨独居老年人的抑郁与焦虑症状之间的相互关系。针对这些核心和桥梁症状可能有效地预防共病,并为处于风险中或目前经历这些问题的人提供有针对性的干预措施。

    关键词: 焦虑;抑郁;独自生活;网络分析;老年人。

    关键词:症状网络; 焦虑和抑郁; 老年人; 横断面研究

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    期刊名:Frontiers in psychiatry

    缩写:FRONT PSYCHIATRY

    ISSN:1664-0640

    e-ISSN:1664-0640

    IF/分区:3.2/Q2

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