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EpiCast Report: Major Depressive Disorder - Epidemiology Forecast to 2023

Published: Feb 14, 2014 | Pages: 42 | Publisher: GlobalData | Industry: Pharmaceuticals & Healthcare | Report Format: Electronic (PDF)

EpiCast Report: Major Depressive Disorder - Epidemiology Forecast to 2023

Summary

Major depressive disorder (MDD), also known as clinical depression or major depression, is widely recognized as one of the most common mental disorders in the world. MDD is a type of mood disorder characterized by persistent feelings of sadness, anger, loss, or frustration that can last from days to months and alternates with episodes of wellness. MDD is a highly debilitating condition that is associated with substantial morbidity and an enormous social and economic burden. The condition affects the thoughts, feelings, behavior, and physical health of an individual, leading to a range of psychological, physical, and social problems.

GlobalData epidemiologists forecast that the total prevalent cases of MDD in the 8MM will grow by 4.0% over the next decade, from 31,798,832 total prevalent cases in 2013 to 33,083,108 total prevalent cases in 2023. GlobalData epidemiologists attribute the growth in the total prevalent cases of MDD in the 8MM to changing population demographics in the respective markets, rather than to an actual increase in the prevalence of MDD in these markets.

GlobalData's epidemiological forecast for the total prevalent cases of MDD in the 8MM is supported by epidemiologic data from country-specific studies that are nationally representative of the entire population in these markets. GlobalData's epidemiological analysis included the most recently published nationally-representative studies in the 8MM that provided the total prevalence of MDD using the DSM-IV diagnostic criteria and the CIDI version 3.0, which facilitates for a meaningful comparison of the forecast total prevalent cases of MDD in the 8MM. Additionally, the use of the total prevalence to forecast the total prevalent cases of MDD in the 8MM further strengthens GlobalData's epidemiological analysis, because the total prevalence reflects the true burden of a highly undiagnosed disease like MDD.

Scope

- The Major Depressive Disorder (MDD) EpiCast Report provides an overview of the risk factors and the global and historical trends of MDD in the 8MM (US, France, Germany, Italy, Spain, UK, Japan, and Australia). It includes a 10-year epidemiological forecast for the total prevalent cases of MDD segmented by age (20 years and older) and sex.
- The MDD epidemiology report is written and developed by Masters- and PhD-level epidemiologists.
- The EpiCast Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 8MM.

Reasons to buy

- Develop business strategies by understanding the trends shaping and driving the global MDD market.
- Quantify patient populations in the global MDD market to improve product design, pricing, and launch plans.
- Organize sales and marketing efforts by identifying the sex and age groups that present the best opportunities for MDD therapeutics in each of the markets covered.
 Table of Contents
1 Table of Contents 4
1.1 List of Tables 5
1.2 List of Figures 6
2 Introduction 7
2.1 Catalyst 7
3 Epidemiology 8
3.1 Disease Background 8
3.2 Risk Factors and Comorbidities 9
3.2.1 A Family History of MDD Increases the Risk for MDD by Almost 14 Times 10
3.2.2 Substance Abuse and Lifetime Anxiety Disorders are Highly Prevalent in MDD Patients 11
3.3 Global and Historical Trends 12
3.4 Forecast Methodology 15
3.4.1 Sources Used 17
3.4.2 Forecast Assumptions and Methods 21
3.4.3 Sources Not Used 23
3.5 Epidemiological Forecast for MDD (2013-2023) 25
3.5.1 Total Prevalent Cases of MDD 25
3.5.2 Age-Specific Total Prevalent Cases of MDD 26
3.5.3 Sex-Specific Total Prevalent Cases of MDD 28
3.5.4 Age-Standardized Total Prevalence of MDD 30
3.6 Discussion 31
3.6.1 Epidemiological Forecast Insight 31
3.6.2 Limitations of the Analysis 32
3.6.3 Strengths of the Analysis 33
4 Appendix 34
4.1 Bibliography 34
4.2 About the Authors 38
4.2.1 Epidemiologists 38
4.2.2 Reviewers 38
4.2.3 Global Director of Epidemiology and Health Policy 39
4.2.4 Global Head of Healthcare 40
4.3 About GlobalData 41
4.4 About EpiCast 41
4.5 Disclaimer 41
List of Tables
Table 1: DSM-IV Diagnostic Criteria for MDD 9
Table 2: Risk Factors and Comorbidities for MDD 10
Table 3: Prevalence of the Most Frequent Psychiatric Comorbidities in Individuals With and Without MDD 12
Table 4: 8MM, Total Prevalence (%) of MDD According to the DSM-IV Criteria 14
Table 5: 8MM, Total Prevalence (%) of MDD According to the DSM-III Criteria 14
Table 6: 8MM, Sources of the MDD Prevalence Data Used to Forecast the Total Prevalent Cases of MDD 16
Table 7: 8MM, Sources Excluded from the Forecast for the Total Prevalent Cases of MDD 24
Table 8: 8MM, Total Prevalent Cases of MDD, Ages ?20 Years, Both Sexes, N, 2013-2023 25
Table 9: 8MM, Total Prevalent Cases of MDD, by Age, Both Sexes, N (Row %), 2013 27
Table 10: 8MM, Total Prevalent Cases of MDD, by Sex, Ages ?20 Years, N (Row %), 2013 29 


List of Figures
Figure 1: 8MM, Total Prevalent Cases of MDD, Ages ?20 Years, Both Sexes, N, 2013-2023 26
Figure 2: 8MM, Total Prevalent Cases of MDD, by Age, Both Sexes, N, 2013 28
Figure 3: 8MM, Total Prevalent Cases of MDD, by Sex, Ages ?20 Years, N, 2013 30
Figure 4: 8MM, Age-Standardized Total Prevalence (%) of MDD, by Sex, Ages ?20 Years, 2013 31

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