Binge Eating Disorder (BED) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032
Binge Eating Disorder (BED) is defined
as an eating disorder marked by repetitive instances of binge eating, during
which the person consumes more food than would typically be consumed within a
distinct timeframe. Binge eating disorder (BED) is closely related to
non-purging bulimia nervosa (BN), although there are distinctions between the
two. The key characteristics of BED involve engaging in episodes of binge
eating, occurring at least twice a week for six months, and accompanied by
considerable distress. Unlike nonpurging bulimia nervosa, BED does not involve
compensatory actions to avoid weight gain, such as self-induced vomiting,
laxative or diuretic use, or other medications. While many individuals with BED
are overweight, not all fall into this category. Overweight individuals with
BED are subject to the typical health risks of obesity, such as diabetes,
hypertension, and orthopedic issues. The binge-eating disorder commonly emerges
as an outcome or consequence of depression. Individuals often resort to
"comfort foods" to cope with their depressive feelings. The
development of binge-eating disorder, similar to anorexia nervosa or bulimia
nervosa, may initiate from low self-esteem or self-image. This disorder tends
to arise when attempts to enhance self-assurance prove unsuccessful or go
unrecognized externally. Faulty internal communication can also contribute to
the development of binge-eating disorder. Factors that contribute to the
emergence of this disorder include severe childhood obesity, a family history
of overeating, experiences of body-related bullying or teasing, and substance
abuse such as drugs or alcohol. Binge-eating disorder is most frequently
identified in individuals who are overweight or obese. Current diagnostic
criteria necessitate the occurrence of at least one binge episode per week for
a duration of three months. Individuals grappling with binge-eating disorder
are at an elevated risk of encountering depression and substance misuse. The
treatment of binge-eating disorder in adults has succeeded through a
combination of cognitive-behavioral therapy and antidepressant medication.
BED is the most prevalent eating
disorder in both the United States and Europe, with higher occurrences observed
among teenagers and young adults. On average, the onset of BED occurs around
the age of 25.
·
The prevalence of BED in children globally
stands at 0.7%. In males, the one-year prevalence of BED is 0.26%, with the
highest prevalence (0.48%) occurring in males aged 10-19. Among women, the age
group of 20-29 exhibits the highest BED prevalence rates, estimated at 2.09%.
Thelansis’s “Binge Eating Disorder
(BED) Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast
Report – 2022 To 2032" covers disease overview, epidemiology, drug
utilization, prescription share analysis, competitive landscape, clinical
practice, regulatory landscape, patient share, market uptake, market forecast,
and key market insights under the potential Binge Eating Disorder (BED)
treatment modalities options for eight major markets (USA, Germany, France,
Italy, Spain, UK, Japan, and China).
KOLs insights
of Binge Eating Disorder (BED) across 8 MM market from the centre of
Excellence/ Public/ Private hospitals participated in the study. Insights
around current treatment landscape, epidemiology, clinical characteristics,
future treatment paradigm, and Unmet needs.
Binge Eating Disorder (BED) Market Forecast Patient
Based Forecast Model (MS. Excel Based Automated Dashboard), which Data Inputs
with sourcing, Market Event, and Product Event, Country specific Forecast
Model, Market uptake and patient share uptake, Attribute Analysis, Analog
Analysis, Disease burden, and pricing scenario, Summary, and Insights.
Thelansis Competitive Intelligence (CI) practice
has been established based on a deep understanding of the pharma/biotech
business environment to provide an optimized support system to all levels of
the decision-making process. It enables business leaders in forward-thinking
and proactive decision-making. Thelansis supports scientific and commercial
teams in seamless CI support by creating an AI/ ML-based technology-driven
platform that manages the data flow from primary and secondary sources.
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