Volume 12, Issue 2 (Summer 2025)
johe 2025, 12(2): 93-123 |
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Research code: 0-0-84-7008
Ethics code: IR.ABZUMS.REC.1403.166
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Rashidi-Mehrabadi F, Davtalab M, Hassanzadeh-Rangi N. Content and Scientometric Analysis of the International Journal of Industrial Health from 2014 to 2024. johe 2025; 12 (2) :93-123
URL: http://johe.umsha.ac.ir/article-1-986-en.html
URL: http://johe.umsha.ac.ir/article-1-986-en.html
1- Member of the Student Research and Technology Committee, Alborz University of Medical Sciences, Karaj, Iran
2- Department of Occupational Health and Safety Engineering, School of Health, Alborz University of Medical Sciences, Karaj, Iran & Research Center for Health, Safety, and Environment, Alborz University of Medical Sciences, Karaj, Iran ,narminhassanzadeh@gmail.com
2- Department of Occupational Health and Safety Engineering, School of Health, Alborz University of Medical Sciences, Karaj, Iran & Research Center for Health, Safety, and Environment, Alborz University of Medical Sciences, Karaj, Iran ,
Abstract: (1954 Views)
Background and Objective: Conducting a scientometric study can reveal the main topics discussed within a specific timeframe. This study aimed to perform a thematic and scientometric analysis of articles published in Industrial Health from 2014 to 2024 and analyze the distribution of articles across predefined themes.
Materials and Methods: In this descriptive study, articles published from 2014 to 2024 were collected, and data on publication year, authors’ nationality, and keywords were entered into VOSviewer and Excel 2021. The articles were categorized by theme, and the data were analyzed using statistical methods, such as frequency, percentage, collaboration networks, clustering, and keyword co-occurrence. Results were presented with diagrams and figures.
Results: The authorship collaboration network in Industrial Health consisted of five clusters and 177 connections, with a focus on Japan, the Japan Society for Occupational Health, and the lead author, Takahashi. The central cluster of the keyword co-occurrence network comprised 122 terms, mainly related to studies on how environmental factors affect human health and ecosystems. Among the 23 themes identified through content analysis, the theme of psychological, organizational, and social risk factors demonstrated the highest frequency.
Conclusion: The thematic framework and publication pattern of this study suggest that research trends in occupational health are shifting toward organizational, social, and psychological aspects of the workplace, as well as the associated occupational diseases. These findings can inform needs assessment for future research and initiatives.
Materials and Methods: In this descriptive study, articles published from 2014 to 2024 were collected, and data on publication year, authors’ nationality, and keywords were entered into VOSviewer and Excel 2021. The articles were categorized by theme, and the data were analyzed using statistical methods, such as frequency, percentage, collaboration networks, clustering, and keyword co-occurrence. Results were presented with diagrams and figures.
Results: The authorship collaboration network in Industrial Health consisted of five clusters and 177 connections, with a focus on Japan, the Japan Society for Occupational Health, and the lead author, Takahashi. The central cluster of the keyword co-occurrence network comprised 122 terms, mainly related to studies on how environmental factors affect human health and ecosystems. Among the 23 themes identified through content analysis, the theme of psychological, organizational, and social risk factors demonstrated the highest frequency.
Conclusion: The thematic framework and publication pattern of this study suggest that research trends in occupational health are shifting toward organizational, social, and psychological aspects of the workplace, as well as the associated occupational diseases. These findings can inform needs assessment for future research and initiatives.
Keywords: Article, Content Analysis, Industrial Health Journal, Occupational Health, Scientometric Analysis
Type of Study: Research Article |
Subject:
Safety
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