SavedAdd your journal

Journals / Sağlık Akademisyenleri Dergisi / 2025 / Cilt: 12 Sayı: 4

Mental health in the context of occupational health and safety: Bibliometric trends and future perspectives

İş sağlığı ve güvenliği bağlamında ruh sağlığı: Bibliyometrik eğilimler ve gelecek perspektifleri

Rabia Akdoğan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, HAMİDİYE SAĞLIK BİLİMLERİ ENSTİTÜSÜ, SAĞLIK YÖNETİMİ (DR))0000-0002-9707-9848
Pages
524–536
Publication Date
2026-01-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results: The findings indicate that mental health remains a central theme within OHS research, with increasing attention to specific occupational groups, innovative research methodologies, and social challenges amplified by the COVID-19 pandemic.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: This study aims to systematically map the research landscape at the intersection of mental health and occupational health and safety (OHS), examining how the relationship between these two domains has evolved over time.
📊
Key Findings & Data:Materials and Methods: A bibliometric analysis was conducted on 1,493 publications indexed in the Web of Science database between 1996 and 2025.
💡
Conclusion & Impact:Results: The findings indicate that mental health remains a central theme within OHS research, with increasing attention to specific occupational groups, innovative research methodologies, and social challenges amplified by the COVID-19 pandemic.
🔬Design:Modeling & Simulation
📍Scope:2025 Verileri
⚙️Variables:İş Sağlığı · Ruh Sağlığı · Bibliyometrik Analiz

Abstract

Objective: This study aims to systematically map the research landscape at the intersection of mental health and occupational health and safety (OHS), examining how the relationship between these two domains has evolved over time. Materials and Methods: A bibliometric analysis was conducted on 1,493 publications indexed in the Web of Science database between 1996 and 2025. The analysis identified major publication trends, research hotspots, and influential authors through performance and network mapping techniques, providing a visual representation of the field’s intellectual and conceptual structure. Results: The findings indicate that mental health remains a central theme within OHS research, with increasing attention to specific occupational groups, innovative research methodologies, and social challenges amplified by the COVID-19 pandemic. Over time, studies have shifted from general occupational risk assessments toward integrated approaches emphasizing psychosocial well-being, workplace resilience, and interdisciplinary collaboration. Conclusion: Although limited by its exclusive reliance on bibliometric data, this study offers a comprehensive overview of the evolving research on mental health within OHS. It highlights the growing importance of incorporating mental well-being into occupational safety frameworks and organizational policies. The results provide valuable guidance for researchers, practitioners, and policymakers seeking to promote sustainable, health-oriented workplace practices. References: 1. Abdullah, K. H., & Sofyan, D. (2023). Machine Learning in Safety and Health Research: A Scientometric Analysis. International Journal of Information Science and Management (IJISM), 21(1), 17–37. 2. Andres, A. (2009). Measuring Academic Research: How to Undertake a Bibliometric Study (1st edition). Chandos Publishing. 3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. 4. Aust, B., Rugulies, R., Skakon, J., Scherzer, T., & Jensen, C. (2007). Psychosocial work environment of hospital workers: Validation of a comprehensive assessment scale. International Journal of Nursing Studies, 44(5), 814–825. 5. Biswas, B., Sultana, Z., Priovashini, C., Ahsan, Md. N., & Mallick, B. (2021). The emergence of residential satisfaction studies in social research: A bibliometric analysis. Habitat International, 109, 102336. 6. Bond, F. W., & Bunce, D. (2003). The Role of Acceptance and Job Control in Mental Health, Job Satisfaction, and Work Performance. Journal of Applied Psychology, 88(6), 1057–1067. 7. Bowler, R. M., Harris, M., Li, J., Gocheva, V., Stellman, S. D., Wilson, K., Alper, H., Schwarzer, R., & Cone, J. E. (2012). Longitudinal mental health impact among police responders to the 9/11 terrorist attack. American Journal of Industrial Medicine, 55(4), 297–312. 8. Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Social Science, 9(5), Article 5.

Özet

Giriş ve Amaç: Bu çalışma, ruh sağlığı ile iş sağlığı ve güvenliği (İSG) arasındaki kesişim noktasındaki araştırmaları sistematik biçimde haritalamayı ve bu iki alan arasındaki ilişkinin zaman içinde nasıl geliştiğini ortaya koymayı amaçlamaktadır. Gereç ve Yöntem: 1996–2025 yılları arasında Web of Science veri tabanında indekslenen 1.493 yayın üzerinde bibliyometrik analiz yapılmıştır. Analizde yayın eğilimleri, araştırma temaları ve etkili yazarlar belirlenmiş; performans ve ağ haritalama teknikleri kullanılarak alanın entelektüel ve kavramsal yapısı görselleştirilmiştir. Bulgular: Bulgular, ruh sağlığının İSG araştırmalarında temel bir konu olmaya devam ettiğini, ancak son yıllarda belirli meslek gruplarına, yenilikçi araştırma yöntemlerine ve COVID-19 pandemisiyle öne çıkan sosyal sorunlara odaklanmanın arttığını göstermektedir. Zamanla çalışmalar, genel işyeri risklerinden psiko-sosyal iyi oluş, dayanıklılık ve disiplinler arası iş birliğine yönelmiştir. Sonuç: Çalışma, yalnızca bibliyometrik verilere dayanması nedeniyle nitel derinliği sınırlı olsa da, İSG bağlamında ruh sağlığı araştırmalarının gelişim sürecini kapsamlı biçimde ortaya koymaktadır. Bulgular, ruh sağlığının iş sağlığı politikalarına entegrasyonunun ve sürdürülebilir, sağlıklı çalışma ortamlarının geliştirilmesinin artan önemini vurgulamaktadır. Elde edilen sonuçlar, araştırmacılar, uygulayıcılar ve politika yapıcılar için geleceğe yönelik yol gösterici bir çerçeve sunmaktadır. Kaynakça: 1. Abdullah, K. H., & Sofyan, D. (2023). Machine Learning in Safety and Health Research: A Scientometric Analysis. International Journal of Information Science and Management (IJISM), 21(1), 17–37. 2. Andres, A. (2009). Measuring Academic Research: How to Undertake a Bibliometric Study (1st edition). Chandos Publishing. 3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. 4. Aust, B., Rugulies, R., Skakon, J., Scherzer, T., & Jensen, C. (2007). Psychosocial work environment of hospital workers: Validation of a comprehensive assessment scale. International Journal of Nursing Studies, 44(5), 814–825. 5. Biswas, B., Sultana, Z., Priovashini, C., Ahsan, Md. N., & Mallick, B. (2021). The emergence of residential satisfaction studies in social research: A bibliometric analysis. Habitat International, 109, 102336. 6. Bond, F. W., & Bunce, D. (2003). The Role of Acceptance and Job Control in Mental Health, Job Satisfaction, and Work Performance. Journal of Applied Psychology, 88(6), 1057–1067. 7. Bowler, R. M., Harris, M., Li, J., Gocheva, V., Stellman, S. D., Wilson, K., Alper, H., Schwarzer, R., & Cone, J. E. (2012). Longitudinal mental health impact among police responders to the 9/11 terrorist attack. American Journal of Industrial Medicine, 55(4), 297–312. 8. Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Social Science, 9(5), Article 5.

🔖

Cite This Article

Akdoğan, R. (2026). Mental health in the context of occupational health and safety: Bibliometric trends and future perspectives. Sağlık Akademisyenleri Dergisi, Cilt: 12 Sayı: 4, 524–536. https://ajindex.com/articles/1538485

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (36)

  1. Abdullah, K. H., & Sofyan, D. (2023). Machine Learning in Safety and Health Research: A Scientometric Analysis. International Journal of Information Science and Management (IJISM), 21(1), 17–37. https://doi.org/10.22034/ijism.2022.1977763.0
  2. Andres, A. (2009). Measuring Academic Research: How to Undertake a Bibliometric Study (1st edition). Chandos Publishing.
  3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  4. Aust, B., Rugulies, R., Skakon, J., Scherzer, T., & Jensen, C. (2007). Psychosocial work environment of hospital workers: Validation of a comprehensive assessment scale. International Journal of Nursing Studies, 44(5), 814–825. https://doi.org/10.1016/j.ijnurstu.2006.01.008
  5. Biswas, B., Sultana, Z., Priovashini, C., Ahsan, Md. N., & Mallick, B. (2021). The emergence of residential satisfaction studies in social research: A bibliometric analysis. Habitat International, 109, 102336. https://doi.org/10.1016/j.habitatint.2021.102336
  6. Bond, F. W., & Bunce, D. (2003). The Role of Acceptance and Job Control in Mental Health, Job Satisfaction, and Work Performance. Journal of Applied Psychology, 88(6), 1057–1067. https://doi.org/10.1037/0021-9010.88.6.1057
  7. Bowler, R. M., Harris, M., Li, J., Gocheva, V., Stellman, S. D., Wilson, K., Alper, H., Schwarzer, R., & Cone, J. E. (2012). Longitudinal mental health impact among police responders to the 9/11 terrorist attack. American Journal of Industrial Medicine, 55(4), 297–312. https://doi.org/10.1002/ajim.22000
  8. Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Social Science, 9(5), Article 5. https://doi.org/10.5539/ass.v9n5p18
  9. Chen, C. (2016). CiteSpace: A Practical Guide for Mapping Scientific Literature. Nova. Edú-Valsania, S., Laguía, A., & Moriano, J. A. (2022). Burnout: A Review of Theory and Measurement. International Journal of Environmental Research and Public Health, 19(3), 1780. https://doi.org/10.3390/ijerph19031780
  10. Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z
  11. Fujino, Y., Mizoue, T., Izumi, H., Kumashiro, M., Hasegawa, T., & Yoshimura, T. (2001). Job Stress and Mental Health among Permanent Night Workers. Journal of Occupational Health, 43(6), 301–306. https://doi.org/10.1539/joh.43.301
  12. Haque, K. M. S., Uddin, M., Ampah, J. D., Haque, M. K., Hossen, M. S., Rokonuzzaman, M., Hossain, M. Y., Hossain, M. S., & Rahman, M. Z. (2023). Wildfires in Australia: A bibliometric analysis and a glimpse on ‘Black Summer’ (2019/2020) disaster. Environmental Science and Pollution Research International, 30(29), 73061–73086. https://doi.org/10.1007/s11356-023-27423-1
  13. Huang, J.-H., Duan, X.-Y., He, F.-F., Wang, G.-J., & Hu, X.-Y. (2021). A historical review and Bibliometric analysis of research on Weak measurement research over the past decades based on Biblioshiny (No. arXiv:2108.11375). arXiv. https://doi.org/10.48550/arXiv.2108.11375
  14. Ishimaru, T., Okawara, M., Ando, H., Hino, A., Nagata, T., Tateishi, S., Tsuji, M., Matsuda, S., Fujino, Y., & and. (2021). Gender differences in the determinants of willingness to get the COVID-19 vaccine among the working-age population in Japan. Human Vaccines & Immunotherapeutics, 17(11), 3975–3981. https://doi.org/10.1080/21645515.2021.1947098
  15. Ishimaru, T., Punpeng, T., Maiyapakdee, C., Ketsakorn, A., Fujino, Y., & Hara, K. (2020). Survey of the necessary competencies and proficiency of safety officers in Thailand. Industrial Health, 58(5), 403–413. https://doi.org/10.2486/indhealth.2019-0205
  16. Karalis, V. D. (2024). The Integration of Artificial Intelligence into Clinical Practice. Applied Biosciences, 3(1), Article 1. https://doi.org/10.3390/applbiosci3010002
  17. Leão, L. H. da C., & Gomez, C. M. (2014). The issue of mental health in occupational health surveillance. Ciencia & Saude Coletiva, 19(12), 4649–4658. https://doi.org/10.1590/1413-812320141912.12732014
  18. Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., Amann, M., Anderson, H. R., Andrews, K. G., Aryee, M., Atkinson, C., Bacchus, L. J., Bahalim, A. N., Balakrishnan, K., Balmes, J., Barker-Collo, S., Baxter, A., Bell, M. L., Blore, J. D., … Memish, Z. A. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet (London, England), 380(9859), 2224–2260. https://doi.org/10.1016/S0140-6736(12)61766-8
  19. Madan, I., Henderson, M., Hashtroudi, A., Hope, V., & Harvey, S. B. (2013). Prospective evaluation of mental health training for occupational health practitioners. Occupational Medicine (Oxford, England), 63(3), 217–223. https://doi.org/10.1093/occmed/kqt008
  20. Madsen, I. E., Tripathi, M., Borritz, M., & Rugulies, R. (2014). Unnecessary work tasks and mental health: A prospective analysis of Danish human service workers. Scandinavian Journal of Work, Environment & Health, 40(6), 631–638. https://doi.org/10.5271/sjweh.3453
  21. Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19. https://doi.org/10.1016/j.ejor.2015.04.002
  22. Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5
  23. Murray, C. J. L., Aravkin, A. Y., Zheng, P., Abbafati, C., Abbas, K. M., Abbasi-Kangevari, M., Abd-Allah, F., Abdelalim, A., Abdollahi, M., Abdollahpour, I., Abegaz, K. H., Abolhassani, H., Aboyans, V., Abreu, L. G., Abrigo, M. R. M., Abualhasan, A., Abu-Raddad, L. J., Abushouk, A. I., Adabi, M., … Lim, S. S. (2020). Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1223–1249. https://doi.org/10.1016/S0140-6736(20)30752-2
  24. Nasir, A., Shaukat, K., Hameed, I. A., Luo, S., Alam, T. M., & Iqbal, F. (2020). A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure. IEEE Access: Practical Innovations, Open Solutions, 8, 133377–133402. https://doi.org/10.1109/ACCESS.2020.3008733
  25. Okubo, Y. (1997). Bibliometric Indicators and Analysis of Research Systems: Methods and Examples (OECD Science, Technology and Industry Working Papers No. 1997/01; OECD Science, Technology and Industry Working Papers, Vol. 1997/01). https://doi.org/10.1787/208277770603
  26. Pendlebury, D. A. (2010). Using Bibliometrics in Evaluating Research. Thomson Reuters. https://services.anu.edu.au/files/system/Pendlebury_White_Paper.pdf
  27. Pritchard, A. (1969). Statistical Bibliography or Bibliometrics? Journal of Documentation, 25, 348–349.
  28. Raimi, R., & Phiri, A. (2024). Bibliometric analysis of income inequality in Africa. Journal of Economic and Administrative Sciences.
  29. Sasaki, N., Asaoka, H., Kuroda, R., Tsuno, K., Imamura, K., & Kawakami, N. (2021). Sustained poor mental health among healthcare workers in COVID-19 pandemic: A longitudinal analysis of the four-wave panel survey over 8 months in Japan. Journal of Occupational Health, 63(1), 1–5. https://doi.org/10.1002/1348-9585.12227
  30. Sasaki, N., Kuroda, R., Mikami, Y., Tsuno, K., Imamura, K., Nishi, D., & Kawakami, N. (2023). Working environment at home and mental health in employees working from home in Japan during COVID-19 pandemic: A cross-sectional study. Journal of Occupational Health, 65(1), e12410. https://doi.org/10.1002/1348-9585.12410
  31. Sasaki, N., Kuroda, R., Tsuno, K., & Kawakami, N. (2020). Workplace responses to COVID-19 associated with mental health and work performance of employees in Japan. Journal of Occupational Health, 62(1), e12134. https://doi.org/10.1002/1348-9585.12134
  32. Uehara, M., Ishimaru, T., Ando, H., Tateishi, S., Eguchi, H., Tsuji, M., Mori, K., Matsuda, S., & Fujino, Y. (2021). Worries About COVID-19 Infection and Psychological Distress at Work and While Commuting. Journal of Occupational and Environmental Medicine, 63(9), e631. https://doi.org/10.1097/JOM.0000000000002309
  33. Vos, T., Flaxman, A. D., Naghavi, M., Lozano, R., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., Aboyans, V., Abraham, J., Ackerman, I., Aggarwal, R., Ahn, S. Y., Ali, M. K., Alvarado, M., Anderson, H. R., Anderson, L. M., Andrews, K. G., … Memish, Z. A. (2012). Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet (London, England), 380(9859), 2163–2196. https://doi.org/10.1016/S0140-6736(12)61729-2
  34. Wittig, G. R. (1978). Documentation Note. Journal of Documentation, 34(3), 240–241. https://doi.org/10.1108/eb026662
  35. Zou, X., & Vu, H. L. (2019). Mapping the knowledge domain of road safety studies: A scientometric analysis. Accident Analysis & Prevention, 132, 105243. https://doi.org/10.1016/j.aap.2019.07.019
  36. Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629