近十年怀旧与心理健康相关研究的可视化分析

A Visual Analysis of Research on Nostalgia and Mental Health over the Past Decade

摘要: 目的：采用文献计量学方法，系统梳理2016~2026年怀旧与心理健康领域的研究现状、热点主题与演进趋势，为后续研究提供参考。方法：以Web of Science核心合集为数据源，检索近十年怀旧与心理健康相关文献，经筛选后共纳入493篇，并运用CiteSpace进行可视化分析。结果：近十年该领域发文量整体呈波动上升态势，2018年和2022年为两个产出高峰。共被引聚类分析识别出九个主要研究主题，时间分布显示研究经历了从基础探索到多元应用的深化。关键词分析表明，自传体记忆、抑郁、社会联结是高频热点；突现词检测显示，孤独感、生命意义、心理韧性及回忆疗法是近年涌现的前沿方向。结论：怀旧的核心议题从早期的功能验证逐步转向机制深化及跨场景应用转化。未来研究可进一步关注怀旧在社会联结建构、心理障碍调节及数字化干预中的应用价值。

Abstract: Objective: This study adopts bibliometric methods to systematically review the research status, hot topics and evolutionary trends in the field of nostalgia and mental health from 2016 to 2026, so as to provide a reference for future research. Methods: The Web of Science Core Collection was used as the data source to retrieve relevant literature on nostalgia and mental health over the past decade. A total of 493 articles were included after screening, and CiteSpace was employed for visual analysis. Results: Publications showed a fluctuating upward trend in the past decade, peaking in 2018 and 2022. Co-citation analysis identified nine major themes, shifting from basic exploration to diversified applications. High-frequency keywords include autobiographical memory, depression, social connection; recent bursts show loneliness, meaning in life, psychological resilience, and reminiscence therapy as cutting-edge directions. Conclusions: Nostalgia research has shifted from functional verification to mechanism exploration and cross-scenario applications. Future work may focus on its value for social connections, mental disorder regulation, and digital interventions.