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Binge Eating Disorder (BED): Epidemiology Forecast to 2027

  • Published Date: 01 Jun 2018
  • Number of Pages: 32
  • Category: Pharmaceuticals
  • Country: Global
Binge Eating Disorder (BED): Epidemiology Forecast to 2027

Summary

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. Signs of BED vary, and there may be physical changes; for example, some people experience weight gain. Other signs and symptoms can be psychological and emotional. In May 2013, the American Psychiatric Association released the DSM-5 in which BED is classified as an actual eating disorder.

The 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.

In 2017, the 7MM had 197,076 diagnosed prevalent cases of BED. GlobalData epidemiologists expect the diagnosed prevalent cases of BED in the 7MM to increase to 204,424 cases by 2027, at an AGR of 0.37%. The US will have the highest growth in the diagnosed prevalent cases of BED in the 7MM from 2017-2027, while France will have the lowest growth in the diagnosed prevalent cases of BED from 2017-2027. Germany, Italy, and Japan will see a decline in the number of diagnosed prevalent cases of BED during the forecast period at negative AGRs of 0.54%, 0.05%, and 0.43%, respectively. Future epidemiologic research that assesses prevalence of 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 BED.

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.
Publisher Name : GlobalData


1.1 List of Tables 3
1.2 List of Figures 3
2 Binge Eating Disorder: Executive Summary 4
2.1 Related Reports 5
2.2 Upcoming Reports 5
3 Epidemiology 6
3.1 Disease Background 6
3.2 Risk Factors and Comorbidities 6
3.3 Global and Historical Trends 7
3.4 Forecast Methodology 9
3.4.1 Sources 9
3.4.2 Forecast Assumptions and Methods 12
3.5 Epidemiological Forecast for BED (2017-2027) 16
3.5.1 12-Month Diagnosed Prevalent Cases of BED 16
3.5.2 Age-Specific 12-Month Diagnosed Prevalent Cases of BED 17
3.5.3 Sex-Specific 12-Month Diagnosed Prevalent Cases of BED 18
3.5.4 12-Month Diagnosed Prevalent Cases of BED by BMI 19
3.5.5 12-Month Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder 20
3.5.6 12-Month Diagnosed Prevalent Cases of BED with Substance Abuse Disorder 22
3.6 Discussion 23
3.6.1 Epidemiological Forecast Insight 23
3.6.2 Limitations of Analysis 24
3.6.3 Strengths of Analysis 24
4 Appendix 25
4.1 Bibliography 25
4.2 Primary Research - KOLs Interviewed for this Report 26
4.3 Primary Research - Prescriber Survey 28
4.4 About the Authors 29
4.4.1 Epidemiologist 29
4.4.2 Reviewers 29
4.4.3 Global Director of Therapy Analysis and Epidemiology 30
4.4.4 Global Head and EVP of Healthcare Operations and Strategy 30
4.5 About GlobalData 30
4.6 Contact Us 31
4.7 Disclaimer 31

List Of Tables

1.1 List of Tables
Table 1: Risk Factors and Comorbidities for BED 7
Table 2: High-Prescribing Physicians (non-KOLs) Surveyed, By Country 28

List Of Figures

1.2 List of Figures
Figure 1: 7MM, 12-Month Diagnosed Prevalent Cases of BED, Men and Women, Ages 13 Years, 2017 and 2027 4
Figure 2: Age-Standardized 12-Month Diagnosed Prevalence of BED in the 7MM, Ages 13 Years, 2017 8
Figure 3: Sources Used and Not Used for Diagnosed Prevalent Cases of BED 9
Figure 4: Sources Used and Not Used for Diagnosed Prevalent Cases of BED by BMI 10
Figure 5: Sources Used for Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder 11
Figure 6: Sources Used for Diagnosed Prevalent Cases of BED with Substance Abuse Disorder 12
Figure 7: 12-Month Diagnosed Prevalent Cases of BED, 7MM, Men and Women, Ages 13 Years, N, 2017 17
Figure 8: Age-Specific 12-Month Diagnosed Prevalent Cases of BED, 7MM, Men and Women, Ages 13 Years, N, 2017 18
Figure 9: Sex-Specific 12-Month Diagnosed Prevalent Cases of BED, 7MM, Ages 13 Years, N, 2017 19
Figure 10: 12-Month Diagnosed Prevalent Cases of BED by BMI, 7MM, Men and Women, Ages 13 Years, N, 2017 20
Figure 11: 12-Month Diagnosed Prevalent Cases of BED by BMI and Comorbid Mood Disorder, 7MM, Men and Women, Ages 13 Years, N, 2017 21
Figure 12: 12-Month Diagnosed Prevalent Cases of BED with Substance Abuse Disorder, 7MM, Men and Women, Ages 13 Years, N, 2017 22

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