Cameron J Lacey1, Michael R Salzberg2, Wendyl J D'Souza3. 1. Department of Psychiatry, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, Victoria, Australia; Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, Victoria, Australia. Electronic address: cameron.lacey@otago.ac.nz. 2. Department of Psychiatry, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, Victoria, Australia. Electronic address: msalzber@bigpond.net.au. 3. Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, Victoria, Australia. Electronic address: wendyl@unimelb.edu.au.
Abstract
OBJECTIVE: Depression is one of the most common psychiatric comorbidities in epilepsy; however, the factors contributing to this association remain unclear. There is a growing consensus that methodological limitations, particularly selection bias, affect many of the original studies. A systematic review focussed on community-based studies offers an alternative approach for the identification of the risk factors for depression. METHODS: Searches were performed in MEDLINE (Ovid), 2000 to 31 December 2013, EMBASE, and Google Scholar to identify studies examining risk factors for depression in epilepsy. Community-based studies of adults with epilepsy that reported at least one risk factor for depression were included. RESULTS: The search identified 17 studies that met selection criteria, representing a combined total of 12,212 people with epilepsy with a mean sample size of 718. The most consistent risk factors for depression were sociodemographic factors, despite the fact that most studies focus on epilepsy-related factors. SIGNIFICANCE: Most studies lacked a systematic conceptual approach to investigating depression, and few risk factors were consistently well studied. Future community-based studies require a detailed systematic approach to improve the ability to detect risk factors for depression in epilepsy. Psychological factors were rarely studied in community-based samples with epilepsy, although the consistent association with depression in the few studies that did suggests this warrants further examination.
OBJECTIVE:Depression is one of the most common psychiatric comorbidities in epilepsy; however, the factors contributing to this association remain unclear. There is a growing consensus that methodological limitations, particularly selection bias, affect many of the original studies. A systematic review focussed on community-based studies offers an alternative approach for the identification of the risk factors for depression. METHODS: Searches were performed in MEDLINE (Ovid), 2000 to 31 December 2013, EMBASE, and Google Scholar to identify studies examining risk factors for depression in epilepsy. Community-based studies of adults with epilepsy that reported at least one risk factor for depression were included. RESULTS: The search identified 17 studies that met selection criteria, representing a combined total of 12,212 people with epilepsy with a mean sample size of 718. The most consistent risk factors for depression were sociodemographic factors, despite the fact that most studies focus on epilepsy-related factors. SIGNIFICANCE: Most studies lacked a systematic conceptual approach to investigating depression, and few risk factors were consistently well studied. Future community-based studies require a detailed systematic approach to improve the ability to detect risk factors for depression in epilepsy. Psychological factors were rarely studied in community-based samples with epilepsy, although the consistent association with depression in the few studies that did suggests this warrants further examination.
Authors: Robin E McGee; Martha Sajatovic; Rakale C Quarells; Erika K Johnson; Hongyan Liu; Tanya M Spruill; Robert T Fraser; Mary Janevic; Cam Escoffery; Nancy J Thompson Journal: Epilepsy Behav Date: 2019-04-08 Impact factor: 2.937
Authors: S B Patten; J V A Williams; D H Lavorato; J L Wang; N Jetté; T T Sajobi; K M Fiest; A G M Bulloch Journal: Epidemiol Psychiatr Sci Date: 2016-10-27 Impact factor: 6.892
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Authors: Zaira Khalid; Hasina Momotaz; Farren Briggs; Kristin A Cassidy; Naomi S Chaytor; Robert T Fraser; Mary R Janevic; Barbara Jobst; Erica K Johnson; Peter Scal; Tanya M Spruill; Betsy K Wilson; Martha Sajatovic Journal: J Multidiscip Healthc Date: 2019-12-03