Prevalence and predictors of depression in Iranian patients with multiple sclerosis: a population-based study
| Autor: | Babak Bakhshayesh, Mozaffar Hosseininezhad, Seyedeh Parand Nabizadeh, Seyed Mohammad Seyed Saadat, Seyedeh Nastaran Seyed Saadat |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male medicine.medical_specialty Multiple Sclerosis Neurology Dermatology Iran Logistic regression Severity of Illness Index Quality of life Internal medicine Prevalence medicine Humans Effects of sleep deprivation on cognitive performance Fatigue Depression (differential diagnoses) Psychiatric Status Rating Scales Depressive Disorder Expanded Disability Status Scale Depression Multiple sclerosis Age Factors General Medicine medicine.disease Antidepressive Agents Psychiatry and Mental health Cross-Sectional Studies Logistic Models Physical therapy Educational Status Antidepressant Female Neurology (clinical) Cognition Disorders Psychology |
| Zdroj: | Europe PubMed Central |
| ISSN: | 1590-3478 1590-1874 |
| Popis: | Depression is a frequent symptom in multiple sclerosis (MS) which has a negative impact on quality of life and cognitive status. The purpose of this study was to determine the prevalence and associated factors of depression, and status of antidepressant use in Iranian MS patients. One-hundred and sixty patients with definite MS were included. Demographic and clinical characteristics were recorded. Fatigue and depression were evaluated using the fatigue severity scale and Beck depression inventory-II. Cognitive performance and disability were examined by mini-mental status examination and expanded disability status scale. Multiple logistic regressions were used to determine the associated factors of depression and antidepressant use. The prevalence of depression and severe depression was 59.4 and 18.1 %, respectively. However, only 21.1 % of patients were on antidepressant treatment, while the prevalence of unrecognized/untreated depression was found to be as high as 44.1 %. Multivariable analysis showed that fatigue (P |
| Databáze: | OpenAIRE |
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