Premium
What are the predictors of major depression in adult patients with epilepsy?
Author(s) -
Kui Chen,
Yingfu Pan,
Chenling Xu,
Wenqing Wu,
Xiuhua Li,
Di Sun
Publication year - 2014
Publication title -
epileptic disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.673
H-Index - 53
eISSN - 1950-6945
pISSN - 1294-9361
DOI - 10.1684/epd.2014.0634
Subject(s) - depression (economics) , epilepsy , medicine , logistic regression , cohort , odds ratio , psychiatry , economics , macroeconomics
Epilepsy is not only a chronic neurological disorder but also a condition associated with other comorbidities. The purpose of this study was to determine the prevalence of major depression in a cohort of adult patients with epilepsy (PWEs) living in north China, and investigate the predictors of major depression in PWEs. A total of 215 consecutive cases were enrolled and divided into two groups: PWEs with major depression and PWEs without major depression. Patients were assessed for demographic characteristics, epilepsy details, and social status. A total of 65 of 215 (30.23%) PWEs exhibited comorbid major depression. A binary logistic regression model revealed the strong predictor variables of major depression to be drug responsiveness (odds ratio [OR]=0.23; p =0<0.01; 95% CI [0.13–0.39]), presence of chronic medical illnesses (OR=0.19; p =0.015<0.05; 95% CI [0.05–0.72]), and employment status (OR=0.42; p =0.015<0.05; 95% CI [0.21–0.84]).