Religiosity and Mental Illnesses The Effects of Religiosity on Mental Illnesses
Downloads
Although mental health and its effects on society has been the center of focus for many scholarly articles, the region of religiosity or spirituality and its effects on mental health remains unexplored. This study works to highlight the gaps of research that has been left in this field and aims to elucidate the relationships between religiosity and depression. My research and analysis of General Social Survey data show that religiosity and depressiveness do in fact share an inverse relationship. In other words, as religiosity increases, the prevalence of diagnosed depression decreases. My findings lay the groundwork for future use of spiritual techniques in therapeutic interventions that hopefully promote the creation of more effective treatment techniques that ameliorate the symptoms of depression.
Downloads
1. Archer, M. (2017, July). The Positive Effects of Religion on Mental Illness. Institute for Family Studies. https://ifstudies.org/blog/the-positive-effects-of-religion-on-mental-illnessDuszynski-Goodman, L. (2023, September). Mental Health Statistics. Forbes Health. https://www.forbes.com/health/mind/mental-health-statistics/
2. COVID-19 pandemic triggers 25% increase in prevalence of anxiety and depression worldwide. (2022, March). World Health Organization. https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide
3. Sanusi, B. Design and Construction of Hospitals: Integrating Civil Engineering with Healthcare Facility Requirements.
4. Aramide, Oluwatosin. (2024). CYBERSECURITY AND THE RISING THREAT OF RANSOMWARE. Journal of Tianjin University Science and Technology. 57. 10.5281/zenodo.16948440.
5. Hasan, N., Riad, M. J. A., Das, S., Roy, P., Shuvo, M. R., & Rahman, M. (2024, January). Advanced retinal image segmentation using u-net architecture: A leap forward in ophthalmological diagnostics. In 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1-6). IEEE.
6. Onoja, M. O., Onyenze, C. C., & Akintoye, A. A. (2024). DevOps and Sustainable Software Engineering: Bridging Speed, Reliability, and Environmental Responsibility. International Journal of Technology, Management and Humanities, 10(04).
7. Arefin, S., & Zannat, N. T. (2024). The ROI of Data Security: How Hospitals and Health Systems Can Turn Compliance into Competitive Advantage. Multidisciplinary Journal of Healthcare (MJH), 1(2), 139-160.
8. Riad, M. J. A., Debnath, R., Shuvo, M. R., Ayrin, F. J., Hasan, N., Tamanna, A. A., & Roy, P. (2024, December). Fine-Tuning Large Language Models for Sentiment Classification of AI-Related Tweets. In 2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 186-191). IEEE.
9. Aramide, Oluwatosin. (2025). AI AND CYBERWARFARE. Journal of Tianjin University Science and Technology. 58. 10.5281/zenodo.16948349.
10. Shaik, Kamal Mohammed Najeeb. (2025). Next-Generation Firewalls: Beyond Traditional Perimeter Defense. International Journal For Multidisciplinary Research. 7. 10.36948/ijfmr.2025.v07i04.51775.
11. Bilchenko, N. (2025). Fragile Global Chain: How Frozen Berries Are Becoming a Matter of National Security. DME Journal of Management, 6(01).
12. Karamchandz, G. (2025). Secure and Privacy-Preserving Data Migration Techniques in Cloud Ecosystems. Journal of Data Analysis and Critical Management, 1(02), 67-78.
13. Oni, B. A., Adebayo, I. A., Ojo, V. O., & Nkansah, C. (2025). Insight into Underground Hydrogen Storage in Aquifers: Current Status, Modeling, Economic Approaches and Future Outlook. Energy & Fuels.
14. Samuel, A. J. (2025). Predictive AI for Supply Chain Management: Addressing Vulnerabilities to Cyber-Physical Attacks. Well Testing Journal, 34(S2), 185-202.
15. Hossan, M. Z., & Sultana, T. (2025). AI for Predictive Maintenance in Smart Manufacturing. SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, 17(03), 25-33.
16. Karamchand, G. (2025). AI-Optimized Network Function Virtualization Security in Cloud Infrastructure. International Journal of Humanities and Information Technology, 7(03), 01-12.
17. Desai, P. (2025). AI-Enabled Predictive Maintenance for Industrial Equipment: Enhancing Reliability and Reducing Downtime. Euro Vantage journals of Artificial intelligence, 2(3), 27-48.
18. Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L.; General Social Survey 1972-2022. [Machine-readable data file]. Principal Investigator, Michael Davern; Co-Principal Investigators, Rene Bautista, Jeremy Freese, Pamela Herd, and Stephen L. Morgan. Sponsored by the National Science Foundation. NORC ed. Chicago: NORC, 2023: NORC at the University of Chicago [producer and distributor]. Data accessed from the GSS Data Explorer website at gssdataexplorer.norc.org.
19. Mitchell, C. (2012, October 9). PAHO/WHO | World Mental Health Day: Depression, the Most Common Mental Disorder. Pan American Health Organization / World Health Organization. https://www3.paho.org/hq/index.php?option=com_content&view=article&id=7305:2012-dia-mundial-salud-mental-depresion-trastorno-mental-mas-frecuente&Itemid=0&lang=en#gsc.tab=0
20. Pieper, J. Z. T., & van Uden, M. H. F. (1997). Mental Health and Religion: A Complex Relationship. Archive for the Psychology of Religion, 22(1), 219–236. https://doi.org/10.1163/157361297X00162
Copyright (c) 2025 Suzana Tanisha
This work is licensed under a Creative Commons Attribution 4.0 International License.
