Title of article :
Effective Factors on the Recurrence of Bipolar Mood Disorder I in an Iranian Population Sample Using the Frailty Model with Bayesian Approach
Author/Authors :
Esmaeeli ، Habiballah Department of Biostatistics and Epidemiology - Health Sciences Research Center, School of Health - Mashhad University of Medical Sciences , Talaei ، Ali Department of Psychiatry - Psychiatry and Behavioral Sciences Research Center - Mashhad University of Medical Sciences , Arabborzu ، Zahra Neyshabour Longitudinal Study on Aging Centre (NeLSA) - Neyshabour University of Medical Sciences , Kheyri ، Soleiman Department of Biostatistics and Epidemiology - School of Public Health - Shahrekord University of Medical Sciences , Raeesi ، Monire Shahrekord University of Medical Sciences , Borhani ، Mahdieh Department of Psychiatry - Psychiatry and Behavioral Sciences Research Center - Mashhad University of Medical Sciences , Saeedi ، Anahita School of Paramedical Science - Shahid Beheshti University of Medical Sciences
Abstract :
Objective: Bipolar I disorder is one of the most frequent mental disorders characterized by manic or mixed +/- depressive episodes. Drug treatment has been proved to diminish next episodes, but many other factors are important for exacerbating the conditions. This study aimed to investigate the effective factors on the time and number of episodes in these patients by applying the shared frailty model. Method: In this retrospective longitudinal study, the information of 606 patients with bipolar I disorder, admitted for the first time in Ibn-e-Sina psychiatric hospital in Mashhad from the beginning of 2007 until the end of 2009 were used. These patients were followed up until the end of 2018 for readmission. The Cox model with gamma frailty and Bayesian approach were used to determine the effective factors of frequent recurrences. Results: History of head trauma, substance abuse, and legal conflict had a positive impact on recurrences, while age had a negative effect on recurrences and the risk of recurrence was higher in younger people (P 0.05). The variance estimation of frailty effect was 0.97 that indicates a correlation between the recurrence intervals of bipolar I patients, owing to a heterogeneity among patients. Conclusion: Based on the results, a higher risk of recurrence of bipolar I disorder was found in younger patients and those with a history of head trauma, substance abuse, and legal conflicts. Further investigations are required to account for the genetic factor and psychosocial exposure during critical periods applying this model.
Keywords :
Bayesian Analysis , Bipolar Disorder , Recurrence
Journal title :
Iranian Journal of Psychiatry
Journal title :
Iranian Journal of Psychiatry