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Bipolar Depression - Epidemiology Forecast - 2030

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    Report

  • 100 Pages
  • August 2020
  • Region: Global
  • DelveInsight
  • ID: 5135431
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The ‘Bipolar Depression - Epidemiology Forecast-2030’ report delivers an in-depth understanding of the Bipolar Depression, historical and forecasted epidemiology as well as the Bipolar Depression trends in the United States, EU5 (Germany, France, Italy, Spain, and the United Kingdom) and Japan.

Bipolar Depression Disease Understanding

Bipolar disorder (BD), previously known as manic depressive illness or manic depression, is a mental disorder characterized by wide mood swings from high (manic) to low (depressed). In manic episodes, a person can be very happy, irritable, or “up”, and there is a marked increase in activity level. Hypomanic episodes are also seen in patients and it is a less severe form of mania. In depressive episodes (bipolar depression), the patient might feel sad, indifferent, or hopeless, in combination with a very low activity level.

BD is divided mainly into four subtypes BD-I, BD-II, cyclothymic disorder, and bipolar disorder not otherwise specified (NOS). The classification is based on the characteristics of mood swings. The symptoms of BD can vary and individuals may have episodes of mania, depression, or mixed episodes. The depressive episodes usually last longer than mania and hypomania.

The symptoms of Bipolar Depression include feeling sad or anxious; restless; trouble concentrating or making decisions; trouble falling asleep, waking up too early, or sleeping too much; lack of interest; feeling hopeless or worthless, or thinking about death or suicide; unable to do even simple things, and talking very slowly, feeling like he/she has nothing to say, or forgetting a lot.

Bipolar Depression Epidemiology Perspective

The disease epidemiology covered in the report provides historical as well as forecasted epidemiology segmented by Total Diagnosed Prevalent Cases of Bipolar Depression, Type-specific Diagnosed Prevalent Cases of Bipolar Depression and Severity-specific Diagnosed Prevalent Cases of Bipolar Depression scenario of Bipolar Depression in the 7MM covering the United States, EU5 countries (Germany, France, Italy, Spain, and the United Kingdom) and Japan from 2017 to 2030.

Bipolar Depression Detailed Epidemiology Segmentation

  • As per the analysts, the total diagnosed prevalent population of Bipolar Depression in the 7MM was 1,857,545 in 2017.
  • The estimates show the highest diagnosed prevalence of Bipolar Depression in the United States with 740,715 cases.
  • Bipolar I and Bipolar II are the major subtypes of BD. In 2017, out of the total diagnosed prevalent population of 740,715 cases in the US for Bipolar Depression, 291,134 and 449,581 cases were contributed by Bipolar I disorder and Bipolar II disorder, respectively.
  • Based on the severity of the Bipolar Depression, total diagnosed prevalent cases are categorized into mild, moderate and severe. In 2017, out of the total diagnosed prevalent population in the US for Bipolar Depression, 28,666 cases were mild, 158,735 cases were moderate, and 553,092 cases were severe.
  • Among the European five countries, France had the highest diagnosed population of Bipolar Depression with 278,145 cases, followed by Germany and the UK. On the other hand, Spain had the lowest diagnosed prevalent population of 89,599 cases in 2017.
  • Total diagnosed prevalent cases of Bipolar Depression in Japan were found to be 210,902 in 2017.

Scope of the Report

  • The report covers the descriptive overview of Bipolar Depression, explaining its causes, symptoms, pathophysiology, and genetic basis.
  • The report provides insight into the 7MM historical and forecasted patient pool covering the United States, EU5 countries (Germany, France, Italy, Spain, and the United Kingdom) and Japan.
  • The report assesses the disease risk and burden and highlights the unmet needs of Bipolar Depression.
  • The report helps to recognize the growth opportunities in the 7MM with respect to the patient population.
  • The report provides the segmentation of the disease epidemiology for 7MM by Total Diagnosed Prevalent Cases of Bipolar Depression, Type-specific Diagnosed Prevalent Cases of Bipolar Depression and Severity-specific Diagnosed Prevalent Cases of Bipolar Depression.

Report Highlights

  • 11-Year Forecast of Bipolar Depression
  • 7MM Coverage
  • Total Diagnosed Prevalent Cases of Bipolar Depression
  • Type-specific Diagnosed Prevalent Cases of Bipolar Depression
  • Severity-specific Diagnosed Prevalent Cases of Bipolar Depression

Key Questions Answered

  • What is the disease risk, burden and unmet needs of Bipolar Depression?
  • What is the historical Bipolar Depression patient pool in the United States, EU5 (Germany, France, Italy, Spain, and the UK) and Japan?
  • What would be the forecasted patient pool of Bipolar Depression at the 7MM level?
  • What will be the growth opportunities across the 7MM with respect to the patient population pertaining to Bipolar Depression?
  • Out of the above-mentioned countries, which country would have the highest prevalent population of Bipolar Depression during the forecast period (2020-2030)?
  • At what CAGR the population is expected to grow across the 7MM during the forecast period (2020-2030)?

Reasons to buy

The Bipolar Depression report will allow the user to -
  • Develop business strategies by understanding the trends shaping and driving the 7MM Bipolar Depression epidemiology forecast.
  • The Bipolar Depression epidemiology report and model were written and developed by Masters and Ph.D. level epidemiologists.
  • The Bipolar Depression epidemiology model developed by the publisher is easy to navigate, interactive with dashboards, and epidemiology based on transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over the eleven-year forecast period using reputable sources.

Key Assessments

  • Patient Segmentation
  • Disease Risk and Burden
  • Risk of disease by the segmentation
  • Factors driving growth in a specific patient population

Geographies Covered

  • The United States
  • EU5 (Germany, France, Italy, Spain, and the United Kingdom)
  • Japan

Study Period: 2017-2030

Table of Contents

1. Key Insights2. Executive Summary of Bipolar Depression
4. Disease Background and Overview: Bipolar Depression
4.1. Introduction
4.2. Classification of Bipolar Disorder According to DSM-5
4.3. Symptoms
4.4. Causes
4.5. Risk Factors
4.6. Pathophysiology
4.7. Genetics Findings in Bipolar Disorder
4.8. Biomarkers
4.9. Diagnosis
4.9.1.Diagnostic Guidelines
5. Epidemiology and Patient Population
5.1. Key Findings
5.2. KOL Views
5.3. Epidemiology Methodology
5.4. Total Diagnosed Prevalent Cases of Bipolar Depression in the 7MM
6. United States Epidemiology
6.1. Assumptions and Rationale
6.2. Total Diagnosed Prevalent Cases of Bipolar Depression in the United States
6.3. Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the United States
6.4. Severity-specific Diagnosed Prevalent cases of Bipolar Depression in the United States
7. EU5 Epidemiology
7.1. Germany Epidemiology
7.1.1.Assumptions and Rationale
7.1.2.Total Diagnosed Prevalent Cases of Bipolar Depression in Germany
7.1.3.Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany
7.1.4.Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany
7.2. France Epidemiology
7.2.1.Assumptions and Rationale
7.2.2.Total Diagnosed Prevalent Cases of Bipolar Depression in France
7.2.3.Type-specific Diagnosed Prevalent Cases of Bipolar Depression in France
7.2.4.Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in France
7.3. Italy Epidemiology
7.3.1.Assumptions and Rationale
7.3.2.Total Diagnosed Prevalent Cases of Bipolar Depression in Italy
7.3.3.Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy
7.3.4.Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy
7.4. Spain Epidemiology
7.4.1.Assumptions and Rationale
7.4.2.Total Diagnosed Prevalent Cases of Bipolar Depression in Spain
7.4.3.Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain
7.4.4.Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain
7.5. United Kingdom Epidemiology
7.5.1.Assumptions and Rationale
7.5.2.Total Diagnosed Prevalent Cases of Bipolar Depression in the UK
7.5.3.Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK
7.5.4.Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK
8. Japan Epidemiology
8.1. Assumptions and Rationale
8.2. Total Diagnosed Prevalent Cases of Bipolar Depression in Japan
8.3. Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Japan
8.4. Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Japan
9. Appendix
9.1. Bibliography
9.2. Report Methodology
10. Publisher Capabilities11. Disclaimer12. About the Publisher
List of Tables
Table 1 Summary of Bipolar Depression, Epidemiology and Key Events (2017–2030)
Table 2 Symptoms associated with manic and depressive episodes
Table 3 GWAS findings in bipolar disorder
Table 4 Main findings of circulating biomarkers in bipolar disorder
Table 5 Total Diagnosed Prevalent Cases of Bipolar Depression in the 7MM (2017–2030)
Table 6 Total Diagnosed Prevalent Cases of Bipolar Depression in the United States (2017–2030)
Table 7 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the United States (2017–2030)
Table 8 Severity-specific Diagnosed Prevalent cases of Bipolar Depression in the US (2017–2030)
Table 9 Total Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Table 10 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Table 11 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Table 12 Total Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Table 13 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Table 14 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Table 15 Total Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Table 16 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Table 17 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Table 18 Total Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Table 19 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Table 20 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Table 21 Total Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Table 22 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Table 23 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Table 24 Total Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)
Table 25 Total Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)
Table 26 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)
List of Figures
Figure 1 Main subtypes of bipolar disorder
Figure 2 Symptoms of bipolar disorder
Figure 3 Effects of bipolar disorder on the body
Figure 4 Causes of bipolar disorder
Figure 5 Triggers in bipolar disorder
Figure 6 Multifactorial model of bipolar disorders
Figure 7 Symptoms with potential diagnostic utility in bipolar and unipolar depression
Figure 8 United States KOL Views
Figure 9 EU-5 and Japan KOL Views
Figure 10 Total Diagnosed Prevalent Cases of Bipolar Depression in the 7MM (2017–2030)
Figure 11 Total Diagnosed Prevalent Cases of Bipolar Depression in the United States (2017–2030)
Figure 12 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the United States (2017–2030)
Figure 13 Severity-specific Diagnosed Prevalent cases of Bipolar Depression in the US (2017–2030)
Figure 14 Total Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Figure 15 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Figure 16 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Germany (2017–2030)
Figure 17 Total Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Figure 18 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Figure 19 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in France (2017–2030)
Figure 20 Total Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Figure 21 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Figure 22 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Italy (2017–2030)
Figure 23 Total Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Figure 24 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Figure 25 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Spain (2017–2030)
Figure 26 Total Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Figure 27 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Figure 28 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in the UK (2017–2030)
Figure 29 Total Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)
Figure 30 Type-specific Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)
Figure 31 Severity-specific Diagnosed Prevalent Cases of Bipolar Depression in Japan (2017–2030)

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