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EpiCast Report:躁鬱症 (BD) - 到2024年前的流行病學預測

EpiCast Report: Bipolar Disorder - Epidemiology Forecast to 2024

出版商 GlobalData 商品編碼 355160
出版日期 內容資訊 英文 64 Pages
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EpiCast Report:躁鬱症 (BD) - 到2024年前的流行病學預測 EpiCast Report: Bipolar Disorder - Epidemiology Forecast to 2024
出版日期: 2016年03月01日 內容資訊: 英文 64 Pages
簡介

2014年,全球主要8個國家(美國,法國,德國,義大利,西班牙,英國,日本,加拿大)的躁鬱症 (BD) ,快速週期躁鬱症整體患者數為13,808,283人,終身型整體患者數為23,140,488人。終身型整體患者數明細有循環發作型情緒失調52.15%,第Ⅰ型雙極性疾患24.58%,第Ⅱ型雙極性疾患則為23.27%。

本報告提供全球主要8個國家的躁鬱症 (BD) 調查分析,提供您疾病背景,危險因素和合併症,全球趨勢,流行病學預測等相關的系統性資訊。

第1章 目錄

第2章 簡介

第3章 流行病學

  • 疾病的背景
  • 危險因素和合併症
  • 全球趨勢
  • 預測手法
    • 利用之資訊來源
    • 未利用之資訊來源
    • 預測的前提條件與手法
  • 躁鬱症 (BD) 的流行病學預測
    • 雙極性病譜疾患的12個月的整體患者數
    • 第Ⅰ型雙極性疾患的12個月的整體患者數
    • 第Ⅱ型雙極性疾患的12個月的整體患者數
    • 循環發作型情緒失調的12個月的整體患者數等
  • 議論
    • 流行病學預測相關考察
    • 分析的限制
    • 分析的優勢

第4章 附錄

圖表

目錄
Product Code: GDHCER116-16

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). In between episodes of mood swings, patients typically return to their regular state of being. During a manic or depressive episode, the disease can be debilitating, severely affecting a person's ability to perform on the job or maintain good relationships with other people.

In 2014, there were 13,808,283 12-month and 23,140,488 lifetime total prevalent cases of bipolar disorder in the 8MM. In 2014, of the lifetime total prevalent cases, 52.15% were cyclothymic disorder, 24.58% bipolar I, and 23.27% bipolar II. GlobalData epidemiologists forecast that there will be approximately 14,703,622 12-month and 24,616,577 lifetime total prevalent cases of bipolar disorder in 2024.

In this report, GlobalData epidemiologists provide the forecast for the 12-month and lifetime total prevalent cases (both diagnosed and undiagnosed) of bipolar disorder spectrum in the 8MM. GlobalData epidemiologists sourced robust data based on national and international epidemiological studies and strong regional level studies. Age- and sex-specific rates were used whenever available. GlobalData epidemiologists used a consistent disease definition as well as consistent forecast methodology across all the 8MM to allow for a meaningful comparison among them.

Scope

  • The Bipolar EpiCast Report provides an overview of the risk factors, comorbidities, and global trends for bipolar spectrum disorder in the eight major markets (8MM) (US, France, Germany, Italy, Spain, UK, Japan, and Canada). It includes a 10-year epidemiological forecast for both 12-month and lifetime total prevalent cases of bipolar I, bipolar II, and cyclothymic disorder segmented by sex and age in these markets.
  • The bipolar 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

The Bipolar EpiCast report will allow you to -

  • Develop business strategies by understanding the trends shaping and driving the global bipolar market.
  • Quantify patient populations in the global bipolar 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 bipolar therapeutics in each of the markets covered.
  • Identify the subtype of bipolar disorder spectrum most important to your market plans.

Table of Contents

1. Table of Contents

  • 1.1. List of Tables
  • 1.2. List of Figures

2. Introduction

  • 2.1. Catalyst
  • 2.2. Related Reports
  • 2.3. Upcoming Related Reports

3. Epidemiology

  • 3.1. Disease Background
  • 3.2. Risk Factors and Comorbidities
  • 3.3. Global Trends
  • 3.4. Forecast Methodology
    • 3.4.1. Sources Used
    • 3.4.2. Sources Not Used
    • 3.4.3. Forecast Assumptions and Methods
  • 3.5. Epidemiological Forecast of Bipolar Disorder (2014-2024)
    • 3.5.1. 12-Month Total Prevalent Cases of Bipolar Spectrum Disorder
    • 3.5.2. 12-Month Total Prevalent Cases of Bipolar I
    • 3.5.3. 12-Month Total Prevalent Cases of Bipolar II
    • 3.5.4. 12-Month Total Prevalent Cases of Cyclothymic Disorder
    • 3.5.5. Lifetime Total Prevalent Cases of Bipolar Spectrum Disorder
    • 3.5.6. Age-Specific 12-Month Total Prevalent Cases of Bipolar I
    • 3.5.7. Age-Specific 12-Month Total Prevalent Cases of Bipolar II
    • 3.5.8. Age-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder
    • 3.5.9. Sex-Specific 12-Month Total Prevalent Cases of Bipolar I
    • 3.5.10. Sex-Specific 12-Month Total Prevalent Cases of Bipolar II
    • 3.5.11. Sex-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder
    • 3.5.12. Age-Standardized 12-Month Total Prevalence of Bipolar Spectrum Disorder
  • 3.6. Discussion
    • 3.6.1. Epidemiological Forecast Insight
    • 3.6.2. Limitations of the Analysis
    • 3.6.3. Strengths of the Analysis

4. Appendix

  • 4.1. Bibliography
  • 4.2. Physicians and Specialists Included in this Study
  • 4.3. About the Authors
    • 4.3.1. Epidemiologists
    • 4.3.2. Reviewers
    • 4.3.3. Global Director of Therapy Analysis and Epidemiology
    • 4.3.4. Global Head of Healthcare
  • 4.4. About GlobalData
  • 4.5. About EpiCast
  • 4.6. Disclaimer

List of Tables

  • Table 1: Risk Factors and Comorbidities for Bipolar Disorder
  • Table 2: 8MM, Sources Used to Forecast the 12-Month Total Prevalent Cases of Bipolar Disorder I
  • Table 3: 8MM, Sources Used to Forecast the Lifetime Total Prevalent Cases of Bipolar Disorder I
  • Table 4: 8MM, Sources Used to Forecast the 12-Month Total Prevalent Cases of Bipolar Disorder II
  • Table 5: 8MM, Sources Used to Forecast the Lifetime Total Prevalent Cases of Bipolar Disorder II
  • Table 6: 8MM, Sources Used to Forecast 12-Month Total Prevalent Cases of Cyclothymic Disorder
  • Table 7: 8MM, Sources Used to Forecast Lifetime Total Prevalent Cases of Cyclothymic Disorder
  • Table 8: 8MM, 12-Month Total Prevalent Cases of Bipolar Spectrum Disorder Summary, Both Sexes, Ages ≥13 Years, N (Row %), 2014
  • Table 9: 8MM, 12-Month Total Prevalent Cases of Bipolar I, Both Sexes, Ages ≥13 Years, 2014-2024
  • Table 10: 8MM, 12-Month Total Prevalent Cases of Bipolar II, Both Sexes, Ages ≥13 Years, 2014-2024
  • Table 11: 8MM, 12-Month Total Prevalent Cases of Cyclothymic Disorder, Both Sexes, Ages ≥13 Years, 2014-2024
  • Table 12: 8MM, Lifetime Total Prevalent Cases of Bipolar Spectrum Disorder Summary, Both Sexes, Ages ≥13 Years, N (Row %), 2014
  • Table 13: 8MM, Age-Specific 12-Month Total Prevalent Cases of Bipolar I, Both Sexes, Ages ≥13 Years, N (Row %), 2014
  • Table 14: 8MM, Age-Specific 12-Month Total Prevalent Cases of Bipolar II, Both Sexes, Ages ≥13 Years, N (Row %), 2014
  • Table 15: 8MM, Age-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder, Both Sexes, Ages ≥13 Years, N (Row %), 2014
  • Table 16: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Bipolar I, Ages ≥13 Years, N (Row %), 2014
  • Table 17: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Bipolar II, Ages ≥13 Years, N (Row %), 2014
  • Table 18: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder, Ages ≥13 Years, N (Row %), 2014
  • Table 19: High-Prescribing Physicians (Non-KOLs) Surveyed, By Country

List of Figures

  • Figure 1: 8MM, 12-Month Total Prevalent Cases of Bipolar I, Both Sexes, Ages ≥13 Years, 2014-2024
  • Figure 2: 8MM, Bipolar II 12-Month Total Prevalent Cases, Both Sexes, Ages ≥13 Years, 2014-2024
  • Figure 3: 8MM, 12-Month Total Prevalent Cases of Cyclothymic Disorder, Both Sexes, Ages ≥13 Years, 2014-2024
  • Figure 4: 8MM, Age-Specific 12-Month Total Prevalent Cases of Bipolar I, Both Sexes, 2014
  • Figure 5: 8MM, Age-Specific 12-Month Total Prevalent Cases of Bipolar II, Both Sexes, 2014
  • Figure 6: 8MM, Age-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder, Both Sexes, 2014
  • Figure 7: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Bipolar I, Ages ≥13 Years, 2014
  • Figure 8: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Bipolar II, Ages ≥13 Years, 2014
  • Figure 9: 8MM, Sex-Specific 12-Month Total Prevalent Cases of Cyclothymic Disorder, Ages ≥13 Years, 2014
  • Figure 10: 8MM, Age-Standardized 12-Month Total Prevalence of Bipolar Spectrum Disorder, Men, Ages ≥13 Years, 2014
  • Figure 11: 8MM, Age-Standardized 12-Month Total Prevalence of Bipolar Spectrum Disorder, Women, Ages ≥13 Years, 2014
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