The epidemiological modelling of major depressive disorder : application for the global burden of disease study 2010


Autoria(s): Ferrari, Alize J.; Charlson, Fiona J.; Norman, Rosana E.; Flaxman, Abraham. D.; Patten, Scott B.; Vos, Theo; Whiteford, Harvey A.
Data(s)

2013

Resumo

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.

Identificador

http://eprints.qut.edu.au/79826/

Publicador

Public Library of Science

Relação

DOI:10.1371/journal.pone.0069637

Ferrari, Alize J., Charlson, Fiona J., Norman, Rosana E., Flaxman, Abraham. D., Patten, Scott B., Vos, Theo, & Whiteford, Harvey A. (2013) The epidemiological modelling of major depressive disorder : application for the global burden of disease study 2010. PLoS ONE, 8(7), e69637.

Direitos

Copyright 2013 Ferrari et al.

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 credited.

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work

Palavras-Chave #110000 MEDICAL AND HEALTH SCIENCES #111700 PUBLIC HEALTH AND HEALTH SERVICES #111706 Epidemiology #111714 Mental Health #anzsrc Australian and New Zealand Standard Research Class #adult #Africa #age distribution #article #Asia #Bayes theorem #Eastern Europe #epidemiological data #female #human #incidence #internal consistency #major clinical study #major depression #male #Middle East #mortality #North Africa #Pacific islands #prevalence #sex ratio #South and Central America #South Asia #Adolescent #Aged #Aged #80 and over #Child #Child #Preschool #Depressive Disorder #Major #Humans #Infant #Infant #Newborn #Middle Aged #Models #Theoretical #Young Adult
Tipo

Journal Article