Binge Eating Disorder (BED): Epidemiology Forecast to 2027

  • ID: 4592042
  • Report
  • 32 pages
  • GlobalData
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Binge Eating Disorder (BED): Epidemiology Forecast to 2027

Summary

In 2017, the 7MM had 197,076 diagnosed prevalent cases of Binge Eating Disorder (BED). Epidemiologists expect the diagnosed prevalent cases of Binge Eating Disorder (BED) in the 7MM to increase to 204,424 cases by 2027, at an AGR of 0.37%.

Binge Eating Disorder (BED) is an eating disorder characterized by eating large quantities of food in a discrete period of time, and feeling a sense of lack of control over eating during the episode. Binge-eating episodes are usually planned and can sometimes involve buying ‘special foods’. Signs of Binge Eating Disorder (BED) vary, and there may be physical changes; for example, some people experience weight gain. Other signs and symptoms can be psychological and emotional, such as feeling uncomfortable eating in front of other people, hoarding food, or showing extreme concern with body weight, among other behaviors. In May 2013, the American Psychiatric Association released the DSM-5 in which Binge Eating Disorder (BED) is classified as an actual eating disorder. The previous manual, DSM-IV, was released in 1994 and binge eating was listed as a non-specific eating disorder.

The US will have the highest growth in the diagnosed prevalent cases of Binge Eating Disorder (BED) in the 7MM from 2017-2027, while France will have the lowest growth in the diagnosed prevalent cases of Binge Eating Disorder (BED)from 2017-2027. Germany, Italy, and Japan will see a decline in the number of diagnosed prevalent cases of Binge Eating Disorder (BED) during the forecast period at negative AGRs of 0.54%, 0.05%, and 0.43%, respectively. Future epidemiologic research that assesses prevalence of Binge Eating Disorder (BED)according to DSM-5 criteria is necessary to gain further insight into the prevalence trends, as well as research into the risk factors, comorbidities, and causes of Binge Eating Disorder (BED).

The report "Binge Eating Disorder (BED): Epidemiology Forecast to 2027", provides an overview of the risk factors, comorbidities, and global and historical trends for BED in the seven major markets (7MM) (US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiological forecast for the 12-month diagnosed prevalent cases of Binge Eating Disorder (BED) segmented by sex and age (beginning at age 13 years and ending at ages 80 years and older) in these markets. The 12-month diagnosed prevalent cases of Binge Eating Disorder (BED) are further segmented by body mass index (BMI) (obese and non-obese), BMI and comorbid mood disorder, and substance abuse disorder.

The Binge Eating Disorder (BED) epidemiology forecast is supported by nationally representative, country-specific studies, where available, published in peer-reviewed journals, and by primary research to overcome any scarcity of data. The forecast methodology was kept consistent across all 7MM to allow for a meaningful global comparison.

Scope
  • The Binge Eating Disorder (BED) Epidemiology Forecast Report provides an overview of the risk factors and global trends of BED in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan).
  • This report also includes a 10-year epidemiological forecast for the 12-month diagnosed prevalent cases of BED segmented by sex and age (beginning at age 13 years and ending at ages 80 years and older) in these markets. The 12-month diagnosed prevalent cases of BED are further segmented by body mass index (BMI) (obese and non-obese), BMI and comorbid mood disorder, and substance abuse disorder.
  • The Binge Eating Disorder epidemiology forecast report is written and developed by Masters- and PhD-level epidemiologists.
  • The Epidemiology Forecast Report is in-depth, high quality, transparent, and market-driven, providing expert analysis of disease trends in the 7MM.
Reasons to buy

The Binge Eating Disorder (BED) Epidemiology Forecast report will allow you to:
  • Develop business strategies by understanding the trends shaping and driving the global BED market.
  • Quantify patient populations in the global BED market to improve product design, pricing, and launch plans.
  • Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for BED therapeutics in each of the markets covered.
  • Understand magnitude of BED population by BMI, BMI and mood disorder, and substance abuse disorder.
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1 Table of Contents

2 Binge Eating Disorder: Executive Summary
2.1 Related Reports
2.2 Upcoming Reports

3 Epidemiology
3.1 Disease Background
3.2 Risk Factors and Comorbidities
3.3 Global and Historical Trends
3.4 Forecast Methodology
3.4.1 Sources
3.4.2 Forecast Assumptions and Methods
3.5 Epidemiological Forecast for BED (2017-2027)
3.5.1 12-Month Diagnosed Prevalent Cases of BED
3.5.2 Age-Specific 12-Month Diagnosed Prevalent Cases of BED
3.5.3 Sex-Specific 12-Month Diagnosed Prevalent Cases of BED
3.5.4 12-Month Diagnosed Prevalent Cases of BED by BMI
3.5.5 12-Month Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder
3.5.6 12-Month Diagnosed Prevalent Cases of BED with Substance Abuse Disorder
3.6 Discussion
3.6.1 Epidemiological Forecast Insight
3.6.2 Limitations of Analysis
3.6.3 Strengths of Analysis

4 Appendix
4.1 Bibliography
4.2 Primary Research - KOLs Interviewed for this Report
4.3 Primary Research - Prescriber Survey
4.4 About the Authors
4.4.1 Epidemiologist
4.4.2 Reviewers
4.4.3 Global Director of Therapy Analysis and Epidemiology
4.4.4 Global Head and EVP of Healthcare Operations and Strategy
4.5 About
4.6 Contact
4.7 Disclaimer

List of Tables
Table 1: Risk Factors and Comorbidities for BED
Table 2: High-Prescribing Physicians (non-KOLs) Surveyed, By Country

List of Figures
Figure 1: 7MM, 12-Month Diagnosed Prevalent Cases of BED, Men and Women, Ages =13 Years, 2017 and 2027
Figure 2: Age-Standardized 12-Month Diagnosed Prevalence of BED in the 7MM, Ages =13 Years, 2017
Figure 3: Sources Used and Not Used for Diagnosed Prevalent Cases of BED
Figure 4: Sources Used and Not Used for Diagnosed Prevalent Cases of BED by BMI
Figure 5: Sources Used for Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder
Figure 6: Sources Used for Diagnosed Prevalent Cases of BED with Substance Abuse Disorder
Figure 7: 12-Month Diagnosed Prevalent Cases of BED, 7MM, Men and Women, Ages =13 Years, N, 2017
Figure 8: Age-Specific 12-Month Diagnosed Prevalent Cases of BED, 7MM, Men and Women, Ages =13 Years, N, 2017
Figure 9: Sex-Specific 12-Month Diagnosed Prevalent Cases of BED, 7MM, Ages =13 Years, N, 2017
Figure 10: 12-Month Diagnosed Prevalent Cases of BED by BMI, 7MM, Men and Women, Ages =13 Years, N, 2017
Figure 11: 12-Month Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder, 7MM, Men and Women, Ages =13 Years, N, 2017
Figure 12: 12-Month Diagnosed Prevalent Cases of BED with Substance Abuse Disorder, 7MM, Men and Women, Ages =13 Years, N, 2017
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