Overweight and Obesity: Epidemiology Report and Forecast to 2035

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Obesity is a chronic disease characterized by the accumulation of excess body fat. Individuals living with obesity may undergo metabolic dysfunction on account of excess adipose tissue. The diagnostic criteria for obesity are met by a body mass index (BMI) of 30kg/m2 or more (NIH, 2022a). This can lead to a state of chronic systemic inflammation, as well as a predisposition to comorbidities such as diabetes and cardiovascular disease. Clinical interventions aim to manage obesity by encouraging patient behavioral change, though cases with a BMI of 35kg/m2 or above may warrant bariatric surgery, particularly in the presence of comorbidities (NIH, 2022b).

Obesity onset is largely driven by behavior. The widening prevalence of obesogenic diets and sedentary lifestyles, both of which may lead to excess caloric intake, leads to an accumulation of body fat. Medical conditions, medications, and genetic factors that disrupt metabolism and endocrine function may predispose certain individuals to gain weight as well (NIH, 2022c).

Scope

This report provides an overview of the risk factors, comorbidities, and the global and historical epidemiological trends for overweight and obesity in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan).

The report includes a 10-year epidemiology forecast for the diagnosed and total prevalent cases of overweight and obesity. The diagnosed and total prevalent cases of overweight and obesity are segmented by age (5 years and older) and sex. They are further segmented by BMI into overweight classes I and II, as well as obesity classes I, II, and III. This epidemiology forecast for obesity is supported by data obtained from peer-reviewed articles and population-based studies. The forecast methodology was kept consistent across the 7MM to allow for a meaningful comparison of the forecast diagnosed prevalent cases of obesity across these markets.

Reasons to Buy

The Overweight and Obesity Epidemiology series will allow you to –

Develop business strategies by understanding the trends shaping and driving the global overweight and obesity markets.

Quantify patient populations in the global overweight and obesity markets 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 overweight and obesity therapeutics in each of the markets covered.

Understand magnitude of the overweight and obesity population by age, sex, BMI class, and comorbidity.

Table of Contents

Table of Contents

1 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 7MM forecast methodology

2.4.1 Sources

2.4.2 Forecast assumptions and methods

2.4.3 Forecast assumptions and methods: total prevalent cases of overweight and obesity

2.4.4 Diagnosed prevalent cases of overweight and obesity

2.4.5 Total and diagnosed prevalent cases of overweight and obesity by BMI class

2.4.6 Total and diagnosed prevalent cases of pediatric obesity by severity

2.4.7 Diagnosed prevalent cases of obesity by comorbidity

2.5 Epidemiological forecast for overweight and obesity (2025–35)

2.5.1 Total prevalent cases of overweight

2.5.2 Total prevalent cases of obesity

2.5.3 Diagnosed prevalent cases of overweight

2.5.4 Age-specific diagnosed prevalent cases of overweight

2.5.5 Sex-specific diagnosed prevalent cases of overweight

2.5.6 Diagnosed prevalent cases of overweight by BMI class

2.5.7 Diagnosed prevalent cases of obesity

2.5.8 Age-specific diagnosed prevalent cases of obesity

2.5.9 Sex-specific diagnosed prevalent cases of obesity

2.5.10 Diagnosed prevalent cases of pediatric obesity by severity

2.5.11 Diagnosed prevalent cases of adult obesity by BMI class

2.5.12 Diagnosed prevalent cases of obesity by comorbidity

2.6 Discussion

2.6.1 Epidemiological forecast insight

2.6.2 Limitations of the analysis

2.6.3 Strengths of the analysis

3 Appendix

3.1 Bibliography

3.2 Primary research – high prescriber survey

3.3 About the Authors

3.3.1 Epidemiologist

3.3.2 Reviewers

3.3.3 Vice President of Disease Intelligence and Epidemiology

3.3.4 Global Head of Pharma Research, Analysis, and Competitive Intelligence

About GlobalData

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Table

List of Tables

Table 1: Summary of newly added data types

Table 2: Summary of updated data types

Table 3: Classification systems for obesity based on BMI cutoff points

Table 4: Risk factors and comorbidities for overweight and obesity

Table 5: High-prescribing physicians surveyed, by country

Figures

List of Figures

Figure 1: 7MM, total prevalent cases of overweight, both sexes, N, age ≥5 years, 2025 and 2035

Figure 2: 7MM, total prevalent cases of obesity, both sexes, N, ≥5 years, 2025 and 2035

Figure 3: 7MM, diagnosed prevalent cases of overweight, both sexes, N, ≥5 years, 2025 and 2035

Figure 4: 7MM, diagnosed prevalent cases of obesity, both sexes, N, ≥5 years, 2025 and 2035

Figure 5: 7MM, total prevalence of overweight, men and women, %, ≥5 years, 2015–35

Figure 6: 7MM, total prevalence of obesity, men and women, %, ≥5 years, 2015–35

Figure 7: 7MM, sources used to forecast the total and diagnosed prevalent cases of overweight

Figure 8: 7MM, sources used to forecast the total and diagnosed prevalent cases of obesity

Figure 9: 7MM, sources used to forecast the total and diagnosed prevalent cases of overweight by BMI class

Figure 10: 7MM, sources used to forecast the total and diagnosed prevalent cases of obesity by BMI class

Figure 11: 7MM, sources used to forecast the total and diagnosed prevalent cases of pediatric obesity by severity

Figure 12: 7MM, sources used to forecast the diagnosed prevalent cases of obesity by comorbidity

Figure 13: 7MM, total prevalent cases of overweight, N, both sexes, age ≥5 years, 2025

Figure 14: 7MM, total prevalent cases of obesity, N, both sexes, age ≥5 years, 2025

Figure 15: 7MM, diagnosed prevalent cases of overweight, N, both sexes, age ≥5 years, 2025

Figure 16: 7MM, diagnosed prevalent cases of overweight by age, N, both sexes, age ≥5 years, 2025

Figure 17: 7MM, diagnosed prevalent cases of overweight by sex, N, both sexes, age ≥5 years, 2025

Figure 18: 7MM, diagnosed prevalent cases of overweight by BMI class, N, both sexes, age ≥5 years, 2025

Figure 19: 7MM, diagnosed prevalent cases of obesity, N, both sexes, age ≥5 years, 2025

Figure 20: 7MM, diagnosed prevalent cases of obesity by age, N, both sexes, age ≥5 years, 2025

Figure 21: 7MM, diagnosed prevalent cases of obesity by sex, N, both sexes, age ≥5 years, 2025

Figure 22: 7MM, diagnosed prevalent cases of pediatric obesity by severity, N, both sexes, ages 5─17, 2025

Figure 23: 7MM, diagnosed prevalent cases of obesity by BMI class, N, both sexes, age ≥18 years, 2025

Figure 24: 7MM, diagnosed prevalent cases of obesity by comorbidity, N, both sexes, age ≥18 years, 2025

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