Association of Self-Reported Religiosity with the Development of Major Depression in Multireligious Country Japan
Year: 2020
Type: article
Study design: Observational Study
Abstract: Aim In Western Christian countries, religiosity is generally believed to be associated with a lower risk for depression, which is supported by epidemiological evidence. However, the association between religiosity and depression in multireligious countries is unknown. The objective was to evaluate the association between religiosity and subsequent depression in a multireligious population. Methods A longitudinal study was conducted in a large hospital in Tokyo, Japan, from 2005 to 2018. All participants who underwent health check‐ups without a prior history of depression or depression at baseline were included. Our outcome was development of major depressive disorder (MDD), which was compared according to the degree of religiosity, adjusting for potential confounders. Results Among 67 723 adult participants, those who were more religious tended to be older, female, married, and to have healthier habits but also more medical comorbidities at baseline. During a median follow‐up of 2528 days, 1911 (2.8%) participants developed MDD. Compared to the reference group, religious group participants tended to have higher odds ratios (OR) for developing MDD in a dose‐dependent manner. Among them, the extremely religious group (OR, 1.51; 95% confidence interval [CI], 1.28–1.78) and the moderately religious group (OR, 1.30; 95% CI, 1.14–1.49) were statistically associated with increased development of MDD compared to the not‐religious‐at‐all group. Those who had increased their religiosity from baseline had statistically lower development of MDD (OR, 0.85; 95% CI, 0.75–0.97) compared to those who remained in the same degree of religiosity from baseline. Conclusion Religiosity was associated with future MDD in a dose‐dependent manner in a multireligious population, which was in the opposite direction from that seen in previous Western longitudinal studies.
DOI: 10.1111/pcn.13087
Language: English
Subfield: Health
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,000
Awards: Machine learning using neuroimaging dataset around the onset of schizophrenia and the proposal for the optimal MRI protocol: An Asian multicenter study, Detecting the neural oscillation deficits during abnormal emotional regulation in schizophrenia patients, Neuroticism, emotion regulation, and health: Biological and Cultural function, Toward reconstructing psychiatric disorders based on brain structure and function: International joint research project, G8028682316, G8599103444
OpenAlex ID: W3036690286
