2018 年第 11 期 第 13 卷

近五年心血管与精神疾病相关关系研究SCI论文共词聚类分析

Co-word clustering analysis on hotspots of cardiovascular and psychiatric diseases in recent five years

作者：门佩璇

英文作者：

单位：100005北京，中国医学科学院医学信息研究所信息咨询部

英文单位：

关键词：心血管疾病；精神疾病；聚类分析

英文关键词：

• 摘要：

• 【摘要】目的    检索近5年来心血管疾病与精神疾病相关关系研究SCI论文，分析当前该主题的研究热点及方向。方法    对Web of ScienceTM核心合集数据库中精神疾病与心血管疾病相关关系研究的SCI论文进行检索并输出题录，运用书目共现分析系统（Bicomb）统计关键词频次，利用高频关键词构建共词矩阵，利用SPSS 23.0软件进行系统聚类分析，根据聚类树状图分析该主题研究热点。结果    共纳入有效文献5 559篇，得到有效关键词5 733个，截取高频关键词22个，系统聚类树状图显示研究热点分为5类，包括焦虑抑郁等精神疾病相关的心血管炎性反应和标志物研究，心血管疾病合并症的流行病学研究及危险因素判定，精神分裂症、躁郁症等与肥胖等代谢异常疾病和体力活动的相关研究，老年患者认知功能与痴呆研究，压力相关生理指标变化及对心血管的影响。结论    近5年来，有关精神疾病与心血管疾病相关关系研究的热点集中在焦虑抑郁等精神疾病相关的心血管炎性反应和标志物研究，心血管疾病合并症的流行病学研究及危险因素判定，精神分裂症、躁郁症等与肥胖等代谢异常疾病和体力活动的相关研究，老年患者认知功能与痴呆研究，压力相关生理指标变化及对心血管的影响5个方面。

• 【Abstract】Objective    To search SCI papers related to cardiovascular diseases and psychiatric diseases in recent five years, and to explore current hotspots and growing trends in this field. Methods    SCI literatures of psychiatric and cardiovascular diseases were retrieved from Web of ScienceTM database. Keyword frequency was counted using Bibliographic Item Co-occurrence Matrix Builder(Bicomb) to construct the co-word matrix. The cluster analysis was carried out using SPSS 23.0 software, and the hotspots were analyzed according to the tree diagram. Results    A total of 5 559 valid papers and 5 733 effective keywords were selected; 22 high-frequency key words were intercepted. The clustering dendrogram showed that the research hotspots were divided into 5 major categories: cardiovascular inflammation and biomarkers related to mental disorders such as anxiety and depression; epidemiology and risk factors of cardiovascular comorbidities; correlation among schizophrenia, bipolar disorders and metabolic disorders such as obesity; changes in cognitive function with aging and dementia; stress-related physiological indices and the effects on cardiovascular events. Conclusion    In recent five years, researches of psychiatric and cardiovascular diseases are focused on the following aspects: cardiovascular inflammation and biomarkers related to mental disorders such as anxiety and depression; epidemiology and risk factors of cardiovascular disease comorbidities; correlation among schizophrenia, bipolar disorders and metabolic disorders such as obesity; changes in cognitive function with aging and dementia; stress-related physiological indices and the effects on cardiovascular events.