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The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010

BACKGROUND: Although the detrimental impact of major depressive disorder (MDD) at the individual level has been described, its global epidemiology remains unclear given limitations in the data. Here we present the modelled epidemiological profile of MDD dealing with heterogeneity in the data, enforc...

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Autores principales: Ferrari, Alize J., Charlson, Fiona J., Norman, Rosana E., Flaxman, Abraham D., Patten, Scott B., Vos, Theo, Whiteford, Harvey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726670/
https://www.ncbi.nlm.nih.gov/pubmed/23922765
http://dx.doi.org/10.1371/journal.pone.0069637
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author Ferrari, Alize J.
Charlson, Fiona J.
Norman, Rosana E.
Flaxman, Abraham D.
Patten, Scott B.
Vos, Theo
Whiteford, Harvey A.
author_facet Ferrari, Alize J.
Charlson, Fiona J.
Norman, Rosana E.
Flaxman, Abraham D.
Patten, Scott B.
Vos, Theo
Whiteford, Harvey A.
author_sort Ferrari, Alize J.
collection PubMed
description BACKGROUND: Although the detrimental impact of major depressive disorder (MDD) at the individual level has been described, its global epidemiology remains unclear given limitations in the data. Here we present the modelled epidemiological profile of MDD dealing with heterogeneity in the data, enforcing internal consistency between epidemiological parameters and making estimates for world regions with no empirical data. These estimates were used to quantify the burden of MDD for the Global Burden of Disease Study 2010 (GBD 2010). METHOD: Analyses drew on data from our existing literature review of the epidemiology of MDD. DisMod-MR, the latest version of the generic disease modelling system redesigned as a Bayesian meta-regression tool, derived prevalence by age, year and sex for 21 regions. Prior epidemiological knowledge, study- and country-level covariates adjusted sub-optimal raw data. RESULTS: There were over 298 million cases of MDD globally at any point in time in 2010, with the highest proportion of cases occurring between 25 and 34 years. Global point prevalence was very similar across time (4.4% (95% uncertainty: 4.2–4.7%) in 1990, 4.4% (4.1–4.7%) in 2005 and 2010), but higher in females (5.5% (5.0–6.0%) compared to males (3.2% (3.0–3.6%) in 2010. Regions in conflict had higher prevalence than those with no conflict. The annual incidence of an episode of MDD followed a similar age and regional pattern to prevalence but was about one and a half times higher, consistent with an average duration of 37.7 weeks. CONCLUSION: We were able to integrate available data, including those from high quality surveys and sub-optimal studies, into a model adjusting for known methodological sources of heterogeneity. We were also able to estimate the epidemiology of MDD in regions with no available data. This informed GBD 2010 and the public health field, with a clearer understanding of the global distribution of MDD.
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spelling pubmed-37266702013-08-06 The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010 Ferrari, Alize J. Charlson, Fiona J. Norman, Rosana E. Flaxman, Abraham D. Patten, Scott B. Vos, Theo Whiteford, Harvey A. PLoS One Research Article BACKGROUND: Although the detrimental impact of major depressive disorder (MDD) at the individual level has been described, its global epidemiology remains unclear given limitations in the data. Here we present the modelled epidemiological profile of MDD dealing with heterogeneity in the data, enforcing internal consistency between epidemiological parameters and making estimates for world regions with no empirical data. These estimates were used to quantify the burden of MDD for the Global Burden of Disease Study 2010 (GBD 2010). METHOD: Analyses drew on data from our existing literature review of the epidemiology of MDD. DisMod-MR, the latest version of the generic disease modelling system redesigned as a Bayesian meta-regression tool, derived prevalence by age, year and sex for 21 regions. Prior epidemiological knowledge, study- and country-level covariates adjusted sub-optimal raw data. RESULTS: There were over 298 million cases of MDD globally at any point in time in 2010, with the highest proportion of cases occurring between 25 and 34 years. Global point prevalence was very similar across time (4.4% (95% uncertainty: 4.2–4.7%) in 1990, 4.4% (4.1–4.7%) in 2005 and 2010), but higher in females (5.5% (5.0–6.0%) compared to males (3.2% (3.0–3.6%) in 2010. Regions in conflict had higher prevalence than those with no conflict. The annual incidence of an episode of MDD followed a similar age and regional pattern to prevalence but was about one and a half times higher, consistent with an average duration of 37.7 weeks. CONCLUSION: We were able to integrate available data, including those from high quality surveys and sub-optimal studies, into a model adjusting for known methodological sources of heterogeneity. We were also able to estimate the epidemiology of MDD in regions with no available data. This informed GBD 2010 and the public health field, with a clearer understanding of the global distribution of MDD. Public Library of Science 2013-07-29 /pmc/articles/PMC3726670/ /pubmed/23922765 http://dx.doi.org/10.1371/journal.pone.0069637 Text en © 2013 Ferrari et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ferrari, Alize J.
Charlson, Fiona J.
Norman, Rosana E.
Flaxman, Abraham D.
Patten, Scott B.
Vos, Theo
Whiteford, Harvey A.
The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title_full The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title_fullStr The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title_full_unstemmed The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title_short The Epidemiological Modelling of Major Depressive Disorder: Application for the Global Burden of Disease Study 2010
title_sort epidemiological modelling of major depressive disorder: application for the global burden of disease study 2010
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726670/
https://www.ncbi.nlm.nih.gov/pubmed/23922765
http://dx.doi.org/10.1371/journal.pone.0069637
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