Bipolar Disorder – Epidemiology Forecast to 2030

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Bipolar disorder, also known as bipolar depression or manic depression, is a psychological disorder that presents with severe shifts in mood from one extreme to another. The mood swings occur in a cyclic or periodic pattern that includes feelings of emotional highs (mania or hypomania) and lows (depression). The disease is considered on a spectrum that includes bipolar I, bipolar II, and cyclothymic disorder, and which will be referred to as bipolar spectrum disorder in this report. The prevalence of bipolar spectrum disorder varies significantly depending on the study population, diagnostic criteria used, and duration of survey (Wittchen, Nelson and Lachner, 1998; Fajutrao et al., 2009; Merikangas et al., 2010, 2011; Homish et al., 2013). The lifetime total prevalence of the bipolar spectrum of diseases ranges around the world from 0.1% in Nigeria to more than 6% in the US (Kessler, Berglund, et al., 2005; Merikangas et al., 2011).

In the 8MM, 12-month total prevalent cases of bipolar spectrum disorder are expected to increase from 13,446,327 cases in 2020 to 14,209,094 cases in 2030, at an Annual Growth Rate (AGR) of 0.57%. In 2030, the US will have the highest number of 12-month total prevalent cases of bipolar spectrum disorder in the 8MM, with 8,595,638 cases, whereas Japan will have the fewest 12-month total prevalent cases of bipolar spectrum disorder with 215,902 cases. In the 8MM, lifetime total prevalent cases of bipolar spectrum disorder are expected to increase from 22,988,066 cases in 2020 to 24,229,373 cases in 2030, at an AGR of 0.54%. In 2030, the US will have the highest number of lifetime total prevalent cases of bipolar spectrum disorder in the 8MM, with 13,712,952 cases, whereas Japan will have the fewest 12-month total prevalent cases of bipolar spectrum disorder with 649,964 cases. GlobalData epidemiologists attribute the increase in 12-month total prevalent cases of bipolar spectrum disorder and lifetime total prevalent cases of bipolar spectrum disorder to population dynamics in each market.

Scope

This report provides an overview of the risk factors, comorbidities, and global and historical trends for bipolar spectrum disorder in the eight major markets (8MM) (US, France, Germany, Italy, Spain, UK, Japan, and Canada). The report provides a 10-year epidemiological forecast of the 12-month and lifetime total prevalent cases of bipolar spectrum disorder. In this analysis bipolar spectrum disorder is grouped into the following groups for the 12-month and lifetime total prevalent cases:

Bipolar I disorder, bipolar II disorder, and cyclothymic disorder.

The report provides a 10-year epidemiological forecast for both 12-month and lifetime total prevalent cases of bipolar I, bipolar II, and cyclothymic disorder. The 12-month total prevalent cases of bipolar I, bipolar II, and cyclothymic disorder are further segmented by sex and age (13-18 years, 19-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, and 80 years and older) in these markets.

The bipolar disorder epidemiology report and model were written and developed by Masters- and PhD-level epidemiologists.

The Epidemiology Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 8MM.

The Epidemiology Model is easy to navigate, interactive with dashboards, and epidemiology-based with transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over a 10-year forecast period using reputable sources.

Reasons to Buy

The Bipolar Disorder Epidemiology series will allow you to:

Develop business strategies by understanding the trends shaping and driving the global bipolar disorder market.

Quantify patient populations in the global bipolar disorder market to improve product design, pricing, and launch plans.

Organize sales and marketing efforts by identifying the age groups that present the best opportunities for bipolar disorder therapeutics in each of the markets covered.

Understand magnitude of bipolar spectrum disorder by bipolar I disorder, bipolar II disorder, and cyclothymic disorder.

Table of Contents

Table of Contents

1 Bipolar Disorder: Executive Summary

1.1 Catalyst

1.2 Related Reports

1.3 Upcoming Reports

2 Epidemiology

2.1 Disease Background

2.2 Risk Factors and Comorbidities

2.3 Global and Historical Trends

2.4 8MM Forecast Methodology

2.4.1 Sources

2.4.2 Forecast Assumptions and Methods

2.4.3 Forecast Assumptions and Methods: 12-Month and Lifetime Prevalent Cases of Bipolar Disorder

2.5 Epidemiological Forecast for Bipolar Disorder (2020-2030)

2.5.1 12-Month Total Prevalent Cases of Bipolar I Disorder

2.5.2 Age-Specific 12-Month Total Prevalent Cases of Bipolar I Disorder

2.5.3 Sex-Specific 12-Month Total Prevalent Cases of Bipolar I Disorder

2.5.4 Lifetime Total Prevalent Cases of Bipolar I Disorder

2.5.5 Age-Specific Lifetime Total Prevalent Cases of Bipolar I Disorder

2.5.6 Sex-Specific Lifetime Total Prevalent Cases of Bipolar I Disorder

2.5.7 12-Month Total Prevalent Cases of Bipolar II Disorder

2.5.8 Age-Specific 12-Month Total Prevalent Cases of Bipolar II Disorder

2.5.9 Sex-Specific 12-Month Total Prevalent Cases of Bipolar II Disorder

2.5.10 Lifetime Total Prevalent Cases of Bipolar II Disorder

2.5.11 Age-Specific Lifetime Total Prevalent Cases of Bipolar II Disorder

2.5.12 Sex-Specific Lifetime Total Prevalent Cases of Bipolar II Disorder

2.5.13 12-Month Total Prevalent Cases of Cyclothymic Disorder

2.5.14 Age-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder

2.5.15 Sex-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder

2.5.16 Lifetime Total Prevalent Cases of Cyclothymic Disorder

2.5.17 Age-Specific Lifetime Total Prevalent Cases of Cyclothymic Disorder

2.5.18 Sex-Specific Lifetime Total Prevalent Cases of Cyclothymic Disorder

2.6 Discussion

2.6.1 Epidemiological Forecast Insight

2.6.2 COVID-19 Impact

2.6.3 Limitations of the Analysis

2.6.4 Strengths of the Analysis

3 Appendix

3.1 Bibliography

3.2 About the Authors

3.2.1 Epidemiologist

3.2.2 Reviewers

3.2.3 Global Director of Therapy Analysis and Epidemiology

3.2.4 Global Head and EVP of Healthcare Operations and Strategy

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Table

Table 1: Summary of Newly Added Data Types

Table 2: Summary of Updated Data Types

Table 3: Risk Factors and Comorbid Conditions Associated with Bipolar Disorder

Figures

Figure 1: 8MM, 12-Month Total Prevalent Cases of Bipolar Spectrum Disorder, Both Sexes, N, Ages ≥13 Years, 2020 and 2030

Figure 2: 8MM, Lifetime Total Prevalent Cases of Bipolar Spectrum Disorder, Both Sexes, N, Ages ≥13 Years, 2020 and 2030

Figure 3: 8MM, 12-month and Lifetime Total Prevalence of Bipolar Spectrum Disorder, Men and Women (%), Ages ≥13 Years, 2020

Figure 4: 8MM, Sources Used and Not Used to Forecast the 12-Month Total Prevalent Cases of Bipolar I Disorder

Figure 5: 8MM, Sources Used and Not Used to Forecast the Lifetime Total Prevalent Cases of Bipolar I Disorder

Figure 6: 8MM, Sources Used to Forecast the 12-Month Total Prevalence of Bipolar II Disorder

Figure 7: 8MM, Sources Used to Forecast the Lifetime Total Prevalent Cases of Bipolar II Disorder

Figure 8: 8MM, Sources Used to Forecast the 12-Month Total Prevalence of Cyclothymic Disorder

Figure 9: 8MM, Sources Used to Forecast the Lifetime Total Prevalence of Cyclothymic Disorder

Figure 10: 8MM, 12-Month Total Prevalent Cases of Bipolar I Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 11: 8MM, 12-Month Total Prevalent Cases of Bipolar I Disorder by Age, N, Both Sexes, 2020

Figure 12: 8MM, 12-Month Total Prevalent Cases of Bipolar I Disorder by Sex, N, Ages ≥18 Years, 2020

Figure 13: 8MM, Lifetime Total Prevalent Cases of Bipolar I Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 14: 8MM, Lifetime Total Prevalent Cases of Bipolar I Disorder by Age, N, Both Sexes, 2020

Figure 15: 8MM, Lifetime Total Prevalent Cases of Bipolar I Disorder by Sex, N, Ages ≥18 Years, 2020

Figure 16: 8MM, 12-Month Total Prevalent Cases of Bipolar II Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 17: 8MM, 12-Month Total Prevalent Cases of Bipolar II Disorder by Age, N, Both Sexes, 2020

Figure 18: 8MM, 12-Month Total Prevalent Cases of Bipolar II Disorder by Sex, N, Ages ≥18 Years, 2020

Figure 19: 8MM, Lifetime Total Prevalent Cases of Bipolar II Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 20: 8MM, Lifetime Total Prevalent Cases of Bipolar II Disorder by Age, N, Both Sexes, 2020

Figure 21: 8MM, Lifetime Total Prevalent Cases of Bipolar II Disorder by Sex, N, Ages ≥18 Years, 2020

Figure 22: 8MM, 12-Month Total Prevalent Cases of Cyclothymic Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 23: 8MM, 12-Month Total Prevalent Cases of Cyclothymic Disorder by Age, N, Both Sexes, 2020

Figure 24: 8MM, 12-Month Total Prevalent Cases of Cyclothymic Disorder by Sex, N, Ages ≥18 Years, 2020

Figure 25: 8MM, Lifetime Total Prevalent Cases of Cyclothymic Disorder, N, Both Sexes, Ages ≥18 Years, 2020

Figure 26: 8MM, Lifetime Total Prevalent Cases of Cyclothymic Disorder by Age, N, Both Sexes, 2020

Figure 27: 8MM, Lifetime Total Prevalent Cases of Cyclothymic Disorder by Sex, N, Ages ≥18 Years, 2020

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