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中国心理学前沿

Psychology of China

ISSN Print: 2664-1798
ISSN Online: 2664-1801
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基于网络分析的老年人孤独感与其相关因素研究

Network Analysis of Loneliness and Correlation Factors in Older Individuals

中国心理学前沿 / 2024,6(2):202-212 / 2024-03-07 look60 look53
  • 作者: 周续珠¹      张雪婷¹      徐梓涵²      章译文¹      王惠惠¹     
  • 单位:
    1.宁夏大学教师教育学院,银川;
    2.宁夏大学国际教育学院,银川
  • 关键词: 孤独感;社会隔离;老年人;网络分析
  • Loneliness; Social isolation; Elderly; Network analysis
  • 摘要: 目的:基于网络分析的方法构建老年人孤独感影响因素的网络,探索该网络中各因素间的相互作用并评估该网络中的关键因素。方法:本研究以老年人孤独感量表、社会网络量表、孝道实践量表和家庭功能评定量表对宁夏和湖北两地1025名社区老年人(Mage=61.40,SDage=5.94)进行调查,使用网络分析方法进行统计分析,并结合R语言对结果进行可视化呈现。结果:(1)各相关因素与孤独感构成的网络图整体结构稳定,家庭情感卷入因素和社会隔离因素各形成较为密集的集群;(2)与家庭情感卷入因素和社会隔离因素相比,子女代际支持因素位于网络的边缘且中心度较低;(3)家庭情感卷入第7个项目“尽管我们用意良好,但还是过多地干预了彼此的生活”处于网络较为中心位置,但与多数节点呈负相关。结论:研究发现在一定程度上为老年人孤独感的影响因素补充了来自网络分析角度的证据,为进一步社区老年人孤独感的缓解提供重要的干预靶点。
  • Objective: To construct a network of factors affecting loneliness among the elderly based onnetwork analysis methods, explore the interactions between various factors in the network, and evaluatethe key factors in the network. Methods: This study investigated 1025 community elderly (Mage = 61.40,SDage =5.94) in Ningxia and Hubei using the Family Assessment Device, University of California LosAngeles Loneliness Scale, Lubben Social Network Scale, and Filial Piety Practice Scale. Statistical analysiswas conducted using network analysis methods, and the results were visualized using R language. Results:(1) The overall structure of the network diagram formed by related factors and loneliness is stable, withfamily emotional involvement factors and social isolation factors forming relatively dense clusters.(2) Compared with family emotional involvement factors and social isolation factors, intergenerationalsupport factors for children are located on the edge of the network and have a low centrality. (3) Theseventh item of family emotional involvement “Although we have good intentions, we still interfere toomuch with each other’s lives” is located in a relatively central position in the network, but it is negativelycorrelated with most nodes. Conclusion: The study found that to some extent, it has supplementedevidence from the perspective of network analysis for the influencing factors of loneliness among theelderly, providing important intervention targets for further alleviating loneliness among communityelderly.
  • DOI: https://doi.org/10.35534/pc.0602023
  • 引用: 周续珠,张雪婷,徐梓涵,等.基于网络分析的老年人孤独感与其相关因素研究[J].中国心理学前沿,2024,6(2):202-212.
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