Evaluation of the effective factors on Bipolar I Disorder frequent recurrence in a ۵ years longitudinal study using generalized estimation equations method
Publish place: Iranian Journal of Health Sciences، Vol: 2، Issue: 4
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JHES-2-4_002
تاریخ نمایه سازی: 8 آذر 1402
Abstract:
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.
Keywords:
Authors
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