305
views
0
recommends
+1 Recommend
1 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cross-national epidemiology of DSM-IV major depressive episode

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Major depression is one of the leading causes of disability worldwide, yet epidemiologic data are not available for many countries, particularly low- to middle-income countries. In this paper, we present data on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative.

          Methods

          Major depressive episodes (MDE) as defined by the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DMS-IV) were evaluated in face-to-face interviews using the World Health Organization Composite International Diagnostic Interview (CIDI). Data from 18 countries were analyzed in this report (n = 89,037). All countries surveyed representative, population-based samples of adults.

          Results

          The average lifetime and 12-month prevalence estimates of DSM-IV MDE were 14.6% and 5.5% in the ten high-income and 11.1% and 5.9% in the eight low- to middle-income countries. The average age of onset ascertained retrospectively was 25.7 in the high-income and 24.0 in low- to middle-income countries. Functional impairment was associated with recency of MDE. The female: male ratio was about 2:1. In high-income countries, younger age was associated with higher 12-month prevalence; by contrast, in several low- to middle-income countries, older age was associated with greater likelihood of MDE. The strongest demographic correlate in high-income countries was being separated from a partner, and in low- to middle-income countries, was being divorced or widowed.

          Conclusions

          MDE is a significant public-health concern across all regions of the world and is strongly linked to social conditions. Future research is needed to investigate the combination of demographic risk factors that are most strongly associated with MDE in the specific countries included in the WMH.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI)

          This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH‐CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio‐demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12‐month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer‐assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper‐and‐pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD‐10 and DSM‐IV criteria. Elaborate CD‐ROM‐based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection. Copyright © 2004 Whurr Publishers Ltd.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Income inequality and population health: a review and explanation of the evidence.

            Whether or not the scale of a society's income inequality is a determinant of population health is still regarded as a controversial issue. We decided to review the evidence and see if we could find a consistent interpretation of both the positive and negative findings. We identified 168 analyses in 155 papers reporting research findings on the association between income distribution and population health, and classified them according to how far their findings supported the hypothesis that greater income differences are associated with lower standards of population health. Analyses in which all adjusted associations between greater income equality and higher standards of population health were statistically significant and positive were classified as "wholly supportive"; if none were significant and positive they were classified as "unsupportive"; and if some but not all were significant and supportive they were classified as "partially supportive". Of those classified as either wholly supportive or unsupportive, a large majority (70 per cent) suggest that health is less good in societies where income differences are bigger. There were substantial differences in the proportion of supportive findings according to whether inequality was measured in large or small areas. We suggest that the studies of income inequality are more supportive in large areas because in that context income inequality serves as a measure of the scale of social stratification, or how hierarchical a society is. We suggest three explanations for the unsupportive findings reported by a minority of studies. First, many studies measured inequality in areas too small to reflect the scale of social class differences in a society; second, a number of studies controlled for factors which, rather than being genuine confounders, are likely either to mediate between class and health or to be other reflections of the scale of social stratification; and third, the international relationship was temporarily lost (in all but the youngest age groups) during the decade from the mid-1980s when income differences were widening particularly rapidly in a number of countries. We finish by discussing possible objections to our interpretation of the findings.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Global burden of depressive disorders in the year 2000.

              The initial Global Burden of Disease study found that depression was the fourth leading cause of disease burden, accounting for 3.7% of total disability adjusted life years (DALYs) in the world in 1990. To present the new estimates of depression burden for the year 2000. DALYs for depressive disorders in each world region were calculated, based on new estimates of mortality, prevalence, incidence, average age at onset, duration and disability severity. Depression is the fourth leading cause of disease burden, accounting for 4.4% of total DALYs in the year 2000, and it causes the largest amount of non-fatal burden, accounting for almost 12% of all total years lived with disability worldwide. These data on the burden of depression worldwide represent a major public health problem that affects patients and society.
                Bookmark

                Author and article information

                Journal
                BMC Med
                BMC Medicine
                BioMed Central
                1741-7015
                2011
                26 July 2011
                : 9
                : 90
                Affiliations
                [1 ]Department of Psychiatry, State University of New York at Stony Brook, Putnam Hall - South Campus, Stony Brook, NY 11794-8790, NY, USA
                [2 ]Department & Institute of Psychiatry, University of Sao Paulo, School of Medicine, Sãu Paulo, Brazil
                [3 ]Department of Health Care Policy, Harvard Medical School, Boston, MA
                [4 ]Health Services Research Unit, IMIM (Hospital del Mar Research Institute), Barcelona, Spain and CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
                [5 ]IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
                [6 ]Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
                [7 ]Department of Psychiatry, University Hospital Gasthuisberg, Leuven, Belgium
                [8 ]Shenzhen Institute of Mental Health & Shenzhen Kangning Hospital, Shenzhen, China
                [9 ]Department of Clinical Psychology, Hiroshima International University, Higashi-Hiroshima, Japan
                [10 ]Department of Psychiatry and Clinical Psychology, Saint George Hospital University Medical Center, Balamand University Medical School and the Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
                [11 ]Directorate General of Health Services, New Delhi, India
                [12 ]Ukrainian Psychiatric Association, Kiev, Ukraine
                [13 ]Hôpital Lariboisière Fernand Widal, Assistance Publique Hôpitaux de Paris INSERM U 705, CNRS UMR 7157 University Paris Diderot and Paris Descartes Paris, France
                [14 ]Research & Planning, Mental Health Services Ministry of Health, Jerusalem, Israel
                [15 ]Institute of Social Medicine, Occupational Health and Public Health University of Leipzig, Leipzig, Germany
                [16 ]National Institute of Psychiatry, Mexico City, Mexico
                [17 ]The University of Tasmania Statewide and Clinical Director Dept of Health and Human Services New Town, Tasmania, Australia
                [18 ]Instituto Colombiano del Sistema Nervioso, Bogota D.C., Colombia
                [19 ]Section of Psychiatric Epidemiology, Institute of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
                [20 ]Department of Society, Human Development and Health, Harvard School of Public Health, Boston, MA, USA
                Article
                1741-7015-9-90
                10.1186/1741-7015-9-90
                3163615
                21791035
                e44a3ee3-b151-42f2-a40a-246c364e70f3
                Copyright ©2011 Bromet et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 June 2011
                : 26 July 2011
                Categories
                Research Article

                Medicine
                Medicine

                Comments

                Comment on this article