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Prevalence and risk factors of depression and anxiety among patients with convulsive epilepsy in rural West China
Author(s) -
Wang HaiJiao,
Tan Ge,
Deng Ying,
He Jun,
He YuJin,
Zhou Dong,
Liu Ling
Publication year - 2018
Publication title -
acta neurologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.967
H-Index - 95
eISSN - 1600-0404
pISSN - 0001-6314
DOI - 10.1111/ane.13016
Subject(s) - epilepsy , depression (economics) , anxiety , china , psychiatry , medicine , psychology , geography , economics , archaeology , macroeconomics
Objectives To explore the prevalence and risk factors of depression and anxiety in patients with convulsive epilepsy ( PWE ) in rural West China. Methods PWE from rural West China were evaluated for depression and anxiety with the Neurological Disorders Depression Inventory for Epilepsy (C‐ NDDI ‐E; Chinese version) and the Generalized Anxiety Disorder‐7 ( GAD ‐7; Chinese version). We also assessed their quality of life using the Quality of Life in Epilepsy Inventory ( QOLIE ‐31) and their level of social support using the Social Support Rating Scale ( SSRS ). We used logistic regression analysis to identify independent risk factors of depression and anxiety and analysis of variance ( ANOVA ) to investigate the association between quality of life and depression and anxiety. Results Of the 458 PWE in our study, 33.4% have anxiety and 52.6% have depression. SSRS ( P = 0.03) and seizure frequency ( P = 0.007) are independent risk factors of anxiety, and annual income of the patients ( P < 0.001) is an independent risk factor of depression. PWE with both depression and anxiety have significantly lower QOLIE ‐31 total and subtotal scores. Conclusions PWE have a high prevalence of depression and anxiety in rural West China, which may be impacting their quality of life. PWE with depression and anxiety got a worse quality of life, and depression had a greater impact on quality of life for PWE than anxiety. The risk factors of depression and anxiety include seizure frequency and social support, while annual income is an additional risk factor of depression. Identifying risk factors early may be helpful in the timely management of these symptoms.