Volume 49, Issue 3 (12-2025)
Research in Medicine 2025, 49(3): 0-0 |
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Akbari R, Davari F. Fifty Years of Obesity and Infertility Research: A Comprehensive Bibliometric Review. Research in Medicine 2025; 49 (3)
URL: http://pejouhesh.sbmu.ac.ir/article-1-3499-en.html
URL: http://pejouhesh.sbmu.ac.ir/article-1-3499-en.html
Department of Obstetrics and Gynecology, Faculty of Medicine, Tehran University of Medical Sciences and Health Services, Iran , rakbari@sina.tums.ac.ir
Abstract: (2 Views)
Abstract
Background and Objective: Obesity and infertility share a complex and multifactorial relationship that significantly affects women and men of reproductive age. Over recent decades, the global rise in obesity prevalence has raised serious concerns regarding its adverse impact on reproductive health and fertility outcomes. Although numerous studies have investigated the biological and clinical links between obesity and infertility, the overall evolution, research trends, and knowledge structure of this field have not yet been comprehensively evaluated. Therefore, the present study aims to conduct a bibliometric analysis of research on obesity and infertility published over the past five decades, in order to map the scientific landscape, identify major research trends, and highlight emerging themes in this field.
Methods: This bibliometric study utilized data from the Web of Science (WoS) for articles published from 1985 to 2024. A total of 2,295 articles were selected for analysis. This study was conducted using bibliometric methods and data from the Web of Science (WoS) database for articles published between 1985 and 2024. A total of 2,295 articles were selected for analysis. Co-citation and co-occurrence analysis techniques and VOSviewer software were utilized for data analysis. Articles published between 1985 and 2024 covering topics related to obesity and infertility were selected as the research data. The selection criteria included original articles (Article) in English, while review articles and conference papers were excluded from the study. Co-citation and co-occurrence analyses were performed using VOSviewer software for data visualization and analysis.
Results: The findings indicated an exponential increasing trend in the number of publications in this field. Co-citation analysis led to the identification of five main research clusters: 'Polycystic ovary syndrome, obesity and infertility,' 'Molecular and cellular mechanisms of obesity's effect on reproductive function,' 'Obesity and male infertility,' 'Maternal obesity, assisted reproductive treatments, and pregnancy outcomes,' and 'Risk factors, public health, diet, and stress.' Furthermore, co-occurrence analysis confirmed the research foci through three clusters: 'The impact of obesity on female fertility and outcomes of assisted reproductive treatments,' 'Obesity, sperm health, and male fertility,' and 'Polycystic ovary syndrome: metabolic, fertility, and hormonal dimensions.' While significant research has been conducted in some identified clusters, such as PCOS and assisted reproduction, the findings suggest that areas like fundamental cellular-molecular mechanisms and the role of lifestyle factors still hold substantial potential and require further future investigation.
Background and Objective: Obesity and infertility share a complex and multifactorial relationship that significantly affects women and men of reproductive age. Over recent decades, the global rise in obesity prevalence has raised serious concerns regarding its adverse impact on reproductive health and fertility outcomes. Although numerous studies have investigated the biological and clinical links between obesity and infertility, the overall evolution, research trends, and knowledge structure of this field have not yet been comprehensively evaluated. Therefore, the present study aims to conduct a bibliometric analysis of research on obesity and infertility published over the past five decades, in order to map the scientific landscape, identify major research trends, and highlight emerging themes in this field.
Methods: This bibliometric study utilized data from the Web of Science (WoS) for articles published from 1985 to 2024. A total of 2,295 articles were selected for analysis. This study was conducted using bibliometric methods and data from the Web of Science (WoS) database for articles published between 1985 and 2024. A total of 2,295 articles were selected for analysis. Co-citation and co-occurrence analysis techniques and VOSviewer software were utilized for data analysis. Articles published between 1985 and 2024 covering topics related to obesity and infertility were selected as the research data. The selection criteria included original articles (Article) in English, while review articles and conference papers were excluded from the study. Co-citation and co-occurrence analyses were performed using VOSviewer software for data visualization and analysis.
Results: The findings indicated an exponential increasing trend in the number of publications in this field. Co-citation analysis led to the identification of five main research clusters: 'Polycystic ovary syndrome, obesity and infertility,' 'Molecular and cellular mechanisms of obesity's effect on reproductive function,' 'Obesity and male infertility,' 'Maternal obesity, assisted reproductive treatments, and pregnancy outcomes,' and 'Risk factors, public health, diet, and stress.' Furthermore, co-occurrence analysis confirmed the research foci through three clusters: 'The impact of obesity on female fertility and outcomes of assisted reproductive treatments,' 'Obesity, sperm health, and male fertility,' and 'Polycystic ovary syndrome: metabolic, fertility, and hormonal dimensions.' While significant research has been conducted in some identified clusters, such as PCOS and assisted reproduction, the findings suggest that areas like fundamental cellular-molecular mechanisms and the role of lifestyle factors still hold substantial potential and require further future investigation.
Keywords: Infertility, Obesity, Bibliometrics, Polycystic Ovary Syndrome, Co-citation Analysis, Co-occurrence Analysis.
Type of Study: Review |
Subject:
Gynecological and Obstetrical
Received: 2025/10/13 | Accepted: 2026/01/10 | Published: 2026/02/16
Received: 2025/10/13 | Accepted: 2026/01/10 | Published: 2026/02/16
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