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Illness perception: A bibliometric study
DOI:10.1016/j.heliyon.2024.e31805.png)
摘要
En 中文
Illness perception is a crucial area of study that has seen significant growth and development over the years. This study conducts a comprehensive bibliometric and network analysis of illness perception research, capturing its evolution from 1975 to 2023. Utilizing 1813 publications from the Scopus database, authored by 5428 researchers, we identify key scholars and influential articles in the field. Our analysis includes various bibliometric networks such as citation, cocitation, collaboration, and keyword co-occurrence networks, along with the presentation of intellectual structure maps. Major research areas include the role of illness perception in mental health conditions like depression, coping mechanisms, quality of life, and chronic illnesses like diabetes, as well as the influence of lay beliefs on health behaviors, and the impact of illness beliefs on conditions like Myocardial Infarction and stroke. The results show a growing academic interest in understanding how illness perceptions shape healthcare outcomes and behaviors.
Keyword:
Bibliometric analysis
Illness perception
Depression
Chronic illness
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
3.8W
被引数:
10.5W
机构
引用论文
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field一种检测,量化和可视化研究领域发展的方法: 模糊集理论领域的实际应用

