Alireza Abadi - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Jamshid Yazdani-Charati - Mazandaran University of Medical Sciences, Sari, Iran
Zahra Geraili-Afra - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Mehran Zarghami - Mazandaran University of Medical Sciences, Sari, Iran
Somayeh Ahmadi Gooraji - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Samaneh Saadat - Mazandaran University of Medical Sciences, Sari, Iran

Background and Purpose: Patients with Bipolar I Disorder recurrence experiences mood variation between manic and depression during the time. Hence, that is need to the longitudinal study on Bipolar Disorder patients. This study aims to evaluate the effective factors on Bipolar I Disorder frequent recurrence in ۵ years longitudinal study using generalized estimation equations (GEE) method. Materials and Methods: Data were collected with repeated measurements on ۲۵۵ Bipolar I Disorder patients in mazandaran, Iran, in a longitudinal study between ۲۰۰۷ and ۲۰۱۱. The outcome variable is Bipolar I Disorder recurrence, and the predictor variables are as follows: sex, age of onset, family history (Grade ۱), economic status and education level. In this paper, SAS PROC GENMOD was used to apply GEE regression to the assessment of parameters corresponding to the factors causing recurrence. Results: The age was among ۱۳-۵۵ years and the average of age of onset was ۲۴.۱ years. Almost of patients were male and had economic status with (upper/middle) deciles and also had a diploma and under diploma education level. The results of GEE method showed that the covariate of family history (Grade ۱) increased the odds of recurrence (odds ratio [OR] >۱; P < ۰.۰۵۰۰); and age of onset decreased the odds of recurrence in patients with Bipolar I Disorder (OR <۱; P < ۰.۰۵۰۰). Conclusion: Predictor variables in recurrence Bipolar I Disorder include first-degree relatives’ psychiatric family history and age of onset. Understanding this factors, and educate patients, and their families are valuable for the prevention and planning the treatment.

Bipolar I disorder recurrence, Longitudinal study, Generalized estimation equations