From Numbers to Insights: Bibliometric Analysis of Obesity and Heart Disease Research Output
Main Article Content
Abstract
Despite significant research advancements, there remain important gaps in the understanding and directions for future investigations regarding obesity and heart disease. Therefore, this study examined the research output on obesity and heart disease across different countries and regions worldwide from 1970 to 2022. Using bibliometric analysis, a comprehensive dataset of 28,315 published articles related to obesity and heart disease was analysed. Specifically, the trends, patterns, recurring and spatial distribution of topics per the income level of countries and indices for measurement in obesity and heart disease research were analysed. A noticeable increase in research activity on obesity and heart disease was established across all regions globally. Notably, North America, Europe, and Central Asia exhibited a higher prevalence of research in these areas, while Sub-Saharan Africa and South Asia showed comparatively lower levels. The research encompassed a diverse range of themes, with a significant proportion of studies focused on obesity indices and comorbidities associated with these conditions. Other results revealed the identification of various anthropometric indices, biomarkers, and comorbidities from the examined studies. Body mass index, waist-to-hip ratio, waist circumference, hip circumference, fasting blood glucose, cholesterol, and lipoprotein levels emerged as recurring indices in the literature. Additionally, prevalent comorbidities associated with obesity and heart disease included diabetes, stroke, and metabolic syndrome. The findings can guide future research endeavours and public health interventions targeted at addressing the complex challenges posed by obesity and heart disease. This study underscores the global significance of obesity and heart disease as areas of scientific inquiry. Thus, this study serves as a clarion call for sustained and collaborative efforts, emphasising the pivotal role of on-going research in forging a healthier and more informed global future.
Keywords:
anthropometric indices, BMI, bibliometry, biomarkers, countries
Article Details
How to Cite
SIMMONS, Sally Sonia et al.
From Numbers to Insights: Bibliometric Analysis of Obesity and Heart Disease Research Output.
Medical Research Archives, [S.l.], v. 12, n. 8, aug. 2024.
ISSN 2375-1924.
Available at: <https://esmed.org/MRA/mra/article/view/5438>. Date accessed: 06 sep. 2024.
doi: https://doi.org/10.18103/mra.v12i8.5438.
Section
Research Articles
The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.
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22. Aria M, Cuccurullo C. Bibliometrix: Comprehensive science mapping analysis (4.1.2) [Computer software]. 2023.
https://CRAN.R-project.org/package=bibliometrix
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31. Sharma N, Bairwa M, Gowthamghosh B, Gupta SD, Mangal DK. A bibliometric analysis of the published road traffic injuries research in India, post-1990. Health Research Policy and Systems. 2018; 16(1), 18. https://doi.org/10.1186/s12961-018-0298-9
32. Wang SH, Ding Y, Zhao W, Huang YH, Perkins R, Zou W, Chen JJ. Text mining for identifying topics in the literatures about adolescent substance use and depression. BMC Public Health. 2016; 16(1), 279. https://doi.org/10.1186/s12889-016-2932-1
33. Valenti AP, Bock AW. Using topic modeling to infer the emotional state of people living with Parkinson’s disease. Assistive Technology. 2019; 0(0), 1–10. https://doi.org/10.1080/10400435.2019.1623342
34. Blei DM, Ng AY, Jordan MI. Latent dirichlet allocation. The Journal of Machine Learning Research. 2003; 3(null), 993–1022.
35. Liu L, Tang L, Dong W, Yao S, Zhou W. An overview of topic modeling and its current applications in bioinformatics. SpringerPlus. 2016; 5(1), 1608. https://doi.org/10.1186/s40064-016-3252-8
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