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Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis

This study aimed to conduct a bibliometric analysis of published studies on the association between coronary heart disease (CHD) and depression or anxiety. The study also aimed to identify leading authors, institutions, and countries to determine research hotspots and obtain some hints from the spec...

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Detalles Bibliográficos
Autores principales: Zhou, Yan, Zhu, Xue-Ping, Shi, Jing-Jing, Yuan, Guo-Zhen, Yao, Zi-Ang, Chu, Yu-Guang, Shi, Shuai, Jia, Qiu-Lei, Chen, Ting, Hu, Yuan-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211422/
https://www.ncbi.nlm.nih.gov/pubmed/34149564
http://dx.doi.org/10.3389/fpsyg.2021.669000
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author Zhou, Yan
Zhu, Xue-Ping
Shi, Jing-Jing
Yuan, Guo-Zhen
Yao, Zi-Ang
Chu, Yu-Guang
Shi, Shuai
Jia, Qiu-Lei
Chen, Ting
Hu, Yuan-Hui
author_facet Zhou, Yan
Zhu, Xue-Ping
Shi, Jing-Jing
Yuan, Guo-Zhen
Yao, Zi-Ang
Chu, Yu-Guang
Shi, Shuai
Jia, Qiu-Lei
Chen, Ting
Hu, Yuan-Hui
author_sort Zhou, Yan
collection PubMed
description This study aimed to conduct a bibliometric analysis of published studies on the association between coronary heart disease (CHD) and depression or anxiety. The study also aimed to identify leading authors, institutions, and countries to determine research hotspots and obtain some hints from the speculated future frontiers. Publications about CHD and depression or anxiety between 2004 and 2020 were collected from the Web of Science Core Collection (WOSCC) database. Bibliographic information, such as authorship, country, citation frequency, and interactive visualization, was generated using VOSviewer1.6.16 and CiteSpace5.6.R5. In total, 8,073 articles were identified in the WOSCC database. The United States (2,953 publications), Duke University and Harvard University (214 publications), Psychosomatic Medicine (297 publications), and Denollet Johan. (99 publications) were the most productive country, institutions, journal, and author, respectively. The three hotspots of the research were “The relationship between depression and CHD,” “depression and myocardial infarction,” and “The characteristic of women suffering depression after MI.” The four future research frontiers are predicted to be “treating depression in CHD patients with multimorbidity,” “psychometric properties of instruments for assessing depression and anxiety in CHD patients,” “depression or anxiety in post-PCI patients,” and “other mental diseases in CHD patients.” Bibliometric analysis of the association between CHD and depressive disorders might identify new directions for future research.
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spelling pubmed-82114222021-06-18 Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis Zhou, Yan Zhu, Xue-Ping Shi, Jing-Jing Yuan, Guo-Zhen Yao, Zi-Ang Chu, Yu-Guang Shi, Shuai Jia, Qiu-Lei Chen, Ting Hu, Yuan-Hui Front Psychol Psychology This study aimed to conduct a bibliometric analysis of published studies on the association between coronary heart disease (CHD) and depression or anxiety. The study also aimed to identify leading authors, institutions, and countries to determine research hotspots and obtain some hints from the speculated future frontiers. Publications about CHD and depression or anxiety between 2004 and 2020 were collected from the Web of Science Core Collection (WOSCC) database. Bibliographic information, such as authorship, country, citation frequency, and interactive visualization, was generated using VOSviewer1.6.16 and CiteSpace5.6.R5. In total, 8,073 articles were identified in the WOSCC database. The United States (2,953 publications), Duke University and Harvard University (214 publications), Psychosomatic Medicine (297 publications), and Denollet Johan. (99 publications) were the most productive country, institutions, journal, and author, respectively. The three hotspots of the research were “The relationship between depression and CHD,” “depression and myocardial infarction,” and “The characteristic of women suffering depression after MI.” The four future research frontiers are predicted to be “treating depression in CHD patients with multimorbidity,” “psychometric properties of instruments for assessing depression and anxiety in CHD patients,” “depression or anxiety in post-PCI patients,” and “other mental diseases in CHD patients.” Bibliometric analysis of the association between CHD and depressive disorders might identify new directions for future research. Frontiers Media S.A. 2021-06-03 /pmc/articles/PMC8211422/ /pubmed/34149564 http://dx.doi.org/10.3389/fpsyg.2021.669000 Text en Copyright © 2021 Zhou, Zhu, Shi, Yuan, Yao, Chu, Shi, Jia, Chen and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Zhou, Yan
Zhu, Xue-Ping
Shi, Jing-Jing
Yuan, Guo-Zhen
Yao, Zi-Ang
Chu, Yu-Guang
Shi, Shuai
Jia, Qiu-Lei
Chen, Ting
Hu, Yuan-Hui
Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title_full Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title_fullStr Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title_full_unstemmed Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title_short Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis
title_sort coronary heart disease and depression or anxiety: a bibliometric analysis
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211422/
https://www.ncbi.nlm.nih.gov/pubmed/34149564
http://dx.doi.org/10.3389/fpsyg.2021.669000
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