T Formánek1, A Kagström1, P Cermakova2, L Csémy1, K Mladá1, P Winkler3. 1. National Institute of Mental Health, Klecany, Czech Republic. 2. National Institute of Mental Health, Klecany, Czech Republic; Third Faculty of Medicine, Charles University Prague, Czech Republic. 3. National Institute of Mental Health, Klecany, Czech Republic; Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neurosciences, King's College London, United Kingdom. Electronic address: petr.winkler@nudz.cz.
Abstract
INTRODUCTION: We aimed to estimate the prevalence of current mental disorders in the Czech population, and to identify associated disability. METHODS: We conducted a representative cross-sectional household survey of the Czech adult, community-dwelling population. We used the Mini International Neuropsychiatric Interview (M.I.N.I.), WHO Disability Assessment Schedule (WHODAS) 2.0, and Self-Identification as Mentally Ill (SELFI) scale alongside sociodemographic and other covariates. We reached 75% response rate. Descriptive statistics of the sample were assessed and median (M) disability levels with interquartile range (IQR) according diagnosis were calculated on a scale ranging from 12 to 50. Linear regression models were used to identify factors associated with disability. RESULTS: In our sample of 3 306 participants, 21.9% experienced a mental disorder in 2017. Prevalence rates for mood, anxiety, alcohol use, non-alcohol substance use, and psychotic disorders corresponded to 5.5%, 7.3%, 10.8%, 2.9%, and 1.5% respectively. Alcohol dependence was identified in 6.6%, and major depression in 4.0% of the sample. Disability in the general population was significantly lower (M = 12; IQR = 12, 17) than in those with mood (M = 20; IQR = 14; 29), anxiety (M = 18; IQR = 13; 26), alcohol use (M = 14; IQR = 12; 18), non-alcohol substance use (M = 15; IQR = 12; 19), or psychotic disorders (M = 22; IQR = 16.4; 29.4). CONCLUSIONS: People with mental disorders have considerably elevated disability in comparison to mentally healthy participants. The prevalence of mental disorders in the Czech Republic is mostly in line with European prevalence rates but it is lower for anxiety disorders and two times higher for alcohol use disorders.
INTRODUCTION: We aimed to estimate the prevalence of current mental disorders in the Czech population, and to identify associated disability. METHODS: We conducted a representative cross-sectional household survey of the Czech adult, community-dwelling population. We used the Mini International Neuropsychiatric Interview (M.I.N.I.), WHO Disability Assessment Schedule (WHODAS) 2.0, and Self-Identification as Mentally Ill (SELFI) scale alongside sociodemographic and other covariates. We reached 75% response rate. Descriptive statistics of the sample were assessed and median (M) disability levels with interquartile range (IQR) according diagnosis were calculated on a scale ranging from 12 to 50. Linear regression models were used to identify factors associated with disability. RESULTS: In our sample of 3 306 participants, 21.9% experienced a mental disorder in 2017. Prevalence rates for mood, anxiety, alcohol use, non-alcohol substance use, and psychotic disorders corresponded to 5.5%, 7.3%, 10.8%, 2.9%, and 1.5% respectively. Alcohol dependence was identified in 6.6%, and major depression in 4.0% of the sample. Disability in the general population was significantly lower (M = 12; IQR = 12, 17) than in those with mood (M = 20; IQR = 14; 29), anxiety (M = 18; IQR = 13; 26), alcohol use (M = 14; IQR = 12; 18), non-alcohol substance use (M = 15; IQR = 12; 19), or psychotic disorders (M = 22; IQR = 16.4; 29.4). CONCLUSIONS:People with mental disorders have considerably elevated disability in comparison to mentally healthy participants. The prevalence of mental disorders in the Czech Republic is mostly in line with European prevalence rates but it is lower for anxiety disorders and two times higher for alcohol use disorders.
Authors: Natalia Kascakova; Jana Furstova; Jozef Hasto; Andrea Madarasova Geckova; Peter Tavel Journal: Int J Environ Res Public Health Date: 2020-01-08 Impact factor: 3.390
Authors: Tomáš Formánek; Zsófia Csajbók; Katrin Wolfová; Matěj Kučera; Sarah Tom; Dag Aarsland; Pavla Cermakova Journal: Sci Rep Date: 2020-11-30 Impact factor: 4.379
Authors: Petr Winkler; Zuzana Mohrova; Karolina Mlada; Marie Kuklova; Anna Kagstrom; Pavel Mohr; Tomas Formanek Journal: J Psychiatr Res Date: 2021-05-26 Impact factor: 4.791