Ana Antunes1, Diana Frasquilho2, Sofia Azeredo-Lopes3, Daniel Neto4, Manuela Silva5, Graça Cardoso6, José Miguel Caldas-de-Almeida7. 1. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: ana.antunes@nms.unl.pt. 2. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: diana.frasquilho@nms.unl.pt. 3. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: sofia.azeredo@nms.unl.pt. 4. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal; Hospital de Egas Moniz, Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal. Electronic address: danielcarvalhoneto@gmail.com. 5. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: manuela.silva@gmail.com. 6. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: gracacardoso@gmail.com. 7. Chronic Diseases Research Center (CEDOC), NOVA Medical School, Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal. Electronic address: caldasjm@nms.unl.pt.
Abstract
BACKGROUND: Common mental disorders are highly prevalent and disabling, leading to substantial individual and societal costs. This study aims to characterize the association between disability and common mental disorders in Portugal, using epidemiological data from the World Mental Health Survey Initiative. METHODS: Twelve-month common mental disorders were assessed with the CIDI 3.0. Disability was evaluated with the modified WMHS WHODAS-II. Logistic regression models were used to assess the association between disability and each disorder or diagnostic category (mood or anxiety disorders). RESULTS: Among people with a common mental disorder, 14.6% reported disability. The specific diagnoses significantly associated with disability were post-traumatic stress disorder (OR: 6.69; 95% CI: 3.20, 14.01), major depressive disorder (OR: 3.49; 95% CI: 2.13, 5.72), bipolar disorder (OR: 3.41; 95% CI: 1.04, 11.12) and generalized anxiety disorder (OR: 3.14; 95% CI: 1.43, 6.90). Both categories of anxiety and mood disorders were significantly associated with disability (OR: 1.88; 95% CI: 1.23, 2.86 and OR: 3.94; 95% CI: 2.45, 6.34 respectively). CONCLUSIONS: The results of this study add to the current knowledge in this area by assessing the disability associated with common mental disorders using a multi-dimensional instrument, which may contribute to mental health policy efforts in the development of interventions to reduce the burden of disability associated with common mental disorders.
BACKGROUND: Common mental disorders are highly prevalent and disabling, leading to substantial individual and societal costs. This study aims to characterize the association between disability and common mental disorders in Portugal, using epidemiological data from the World Mental Health Survey Initiative. METHODS: Twelve-month common mental disorders were assessed with the CIDI 3.0. Disability was evaluated with the modified WMHS WHODAS-II. Logistic regression models were used to assess the association between disability and each disorder or diagnostic category (mood or anxiety disorders). RESULTS: Among people with a common mental disorder, 14.6% reported disability. The specific diagnoses significantly associated with disability were post-traumatic stress disorder (OR: 6.69; 95% CI: 3.20, 14.01), major depressive disorder (OR: 3.49; 95% CI: 2.13, 5.72), bipolar disorder (OR: 3.41; 95% CI: 1.04, 11.12) and generalized anxiety disorder (OR: 3.14; 95% CI: 1.43, 6.90). Both categories of anxiety and mood disorders were significantly associated with disability (OR: 1.88; 95% CI: 1.23, 2.86 and OR: 3.94; 95% CI: 2.45, 6.34 respectively). CONCLUSIONS: The results of this study add to the current knowledge in this area by assessing the disability associated with common mental disorders using a multi-dimensional instrument, which may contribute to mental health policy efforts in the development of interventions to reduce the burden of disability associated with common mental disorders.
Authors: Yu-Chen Chiang; Tsan-Hon Liou; Hsin-Chien Lee; Reuben Escorpizo Journal: Int J Environ Res Public Health Date: 2021-04-25 Impact factor: 3.390
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Authors: Luigi Grassi; Rosangela Caruso; Chiara Da Ronch; Martin Härter; Holger Schulz; Jana Volkert; Maria Dehoust; Susanne Sehner; Anna Suling; Karl Wegscheider; Berta Ausín; Alessandra Canuto; Manuel Muñoz; Mike J Crawford; Yael Hershkovitz; Alan Quirk; Ora Rotenstein; Ana Belén Santos-Olmo; Arieh Shalev; Jens Strehle; Kerstin Weber; Hans-Ulrich Wittchen; Sylke Andreas; Martino Belvederi Murri; Luigi Zerbinati; Maria Giulia Nanni Journal: Health Qual Life Outcomes Date: 2020-03-06 Impact factor: 3.186