1、World Obesity Atlas 2023 Global,regional and national estimates for the prevalence of obesity up to 2035 for adults,children and adolescents Global,regional and national estimates of the economic impact of overweight and obesity on national GDP projected up to 2035 187 country scorecards including r

2、atings of national preparedness to address obesity March 2023Compiled by Tim Lobstein,Rachel Jackson-Leach,Jaynaide Powis,Hannah Brinsden and Maggie Gray.Design by Johnclarksondesign (www.johnclarksondesign.co.uk)World Obesity Federation 2023.World Obesity Federation 5th Floor,38 Chancery Lane,Londo

3、n WC2A 1ENwww.worldobesity.org#worldobesityatlas Suggested Citation:World Obesity Federation,World Obesity Atlas 2023.https:/data.worldobesity.org/publications/?cat=19Acknowledgements:The World Obesity Federation is indebted to the World Health Organization,the NCD Risk Factor Collaboration,and the

4、UN Population Division for the use of their downloadable data in the present Atlas.Thanks must also go to Louise Baur,Simn Barquera,Johanna Ralston and Rachel Nugent for reviewing this report.The World Obesity Federation would also like to thank RTI International for producing the economic impact an

5、d projected obesity prevalence data within this Atlas.This work was funded by an unrestricted grant from Novo Nordisk.World Obesity and RTI International have put several safeguards in place to maintain transparency,reproducibility,and an iterative critical review of the research process for this pr

6、oject.Development of the economic estimates was guided by an independent advisory committee and peer-reviewed.An extended version is published in BMJ Global Health as Okunogbe,A.,Nugent,R.,Spencer,G.,Powis,J.,Ralston,J.and Wilding,J.,2022.Economic impacts of overweight and obesity:current and future

7、 estimates for 161 countries.BMJ Global Health,7(9),p.e009773.All data are used with permission.All rights reserved.For further details please see the data sources and methods section in Appendix 1.3World Obesity Atlas 2023Contents List of tables and figures 4Foreword 6Starting conversations individ

8、ual voices 71.Summary 9Global overweight and obesity 10Global economic impact 122.Comparing the regions 14African Region(Sub-Saharan Africa)15Region of the Americas(North,Central and South America)16Eastern Mediterranean Region(North Africa and Middle East)17European Region 18South-East Asian Region

9、 19Western Pacific Region 203.Comparing levels of economic development 22Low income countries 23Lower-middle income countries 24Upper-middle income countries 25High income countries 26Comparison of trends across income groups 274.Taking action:comprehensive national plans and universal health covera

10、ge 31Accelerating global action on obesity 32Strengthening health systems and improving environments 335.Country scorecards 35 References 225Appendix:Methods 2284World Obesity Atlas 2023List of tables and figuresTablesTable 1.1:Global overweight and obesity 20202035Table 1.2:Global obesity trends fo

11、r children,adolescents and adults by gender 20202035Table 1.3:Global economic impact of high BMI(BMI 25kg/m)20202035Table 2.1:Children and adolescents(aged 519 years)in the African Region with obesity 20202035Table 2.2:Adults in the African Region with obesity 20202035Table 2.3:Economic impact of hi

12、gh BMI(BMI 25kg/m)in the African Region 20202035Table 2.4:Children and adolescents(aged 519 years)in the Americas with obesity 20202035Table 2.5:Adults in the Americas with obesity 20202035Table 2.6:Economic impact of high BMI(BMI 25kg/m)in the Americas 20202035Table 2.7:Children and adolescents(age

13、d 519 years)in the Eastern Mediterranean Region with obesity 20202035Table 2.8:Adults in the Eastern Mediterranean Region with obesity 20202035Table 2.9:Economic impact of high BMI(BMI 25kg/m)in the Eastern Mediterranean Region 20202035Table 2.10:Children and adolescents(aged 519 years)in the Europe

14、an Region with obesity 20202035Table 2.11:Adults in the European Region with obesity 20202035Table 2.12:Economic impact of high BMI(BMI 25kg/m)in the European Region 20202035Table 2.13:Children and adolescents(aged 519 years)in the South-East Asian Region with obesity 20202035Table 2.14:Adults in th

15、e South-East Asian Region with obesity 20202035Table 2.15:Economic impact of high BMI(BMI 25kg/m)in the South-East Asian Region 20202035Table 2.16:Children and adolescents(aged 519 years)in the Western Pacific Region with obesity 20202035Table 2.17:Adults in the Western Pacific Region with obesity 2

16、0202035Table 2.18:Economic impact of high BMI(BMI 25kg/m)in the Western Pacific Region 20202035Table 3.1:Children and adolescents(aged 519 years)with obesity in low income countries 20202035Table 3.2:Adults with obesity in low income countries 20202035Table 3.3:Economic impact of high BMI(BMI 25kg/m

17、)in low income countries 202020355World Obesity Atlas 2023Table 3.4:Children and adolescents(aged 519 years)with obesity in lower-middle income countries 20202035Table 3.5:Adults with obesity in lower-middle income countries 20202035Table 3.6:Economic impact of high BMI(BMI 25kg/m)in lower-middle in

18、come countries 20202035Table 3.7:Children and adolescents(aged 519 years)with obesity in upper-middle income countries 20202035Table 3.8:Adults with obesity in upper-middle income countries 20202035Table 3.9:Economic impact of high BMI(BMI 25kg/m)in upper-middle income countries 20202035Table 3.10:C

19、hildren and adolescents(aged 519 years)with obesity in high income countries 20202035Table 3.11:Adults with obesity in high income countries 20202035Table 3.12:Economic impact of high BMI(BMI 25kg/m)in high income countries 20202035Table 3.13:Country preparedness,by country income group and regionFi

20、guresFigure 3.1:A rising proportion of boys with obesity live in middle income countriesFigure 3.2:A rising proportion of girls with obesity live in middle income countriesFigure 3.3:A rising proportion of men with obesity live in middle income countriesFigure 3.4:A rising proportion of women with o

21、besity live in middle income countriesBoxesBox 1:Additional consequences may add to the economic impactBox 2:Climate change and new pandemicsBox 3:The impact of environmental obesogensBox 4:Strengthening health systems on obesityBox 5:Impact of COVID-19 lockdown requirementsBox 6:ROOTS Framework6Wor

22、ld Obesity Atlas 2023ForewordProfessor Louise Baur The University of SydneyJohanna Ralston CEO,World Obesity Federation2022 was a year of real progress for global obesity policy,with new comprehensive World Health Organization recommendations adopted by countries and efforts put into accelerating ac

23、tion on obesity,starting with frontrunner countries in most regions.Recognition that addressing obesity is critical for achieving many global health goals appears to be increasing,but strong action will be needed to realise goals and address fragmentation which has undermined action and impact to da

24、te.Now attention must turn to developing or improving workable national action plans that can help make progress a reality in all parts of the world.To do so,national stakeholders must also have means of monitoring that progress,of highlighting future trends and roadblocks,and,where necessary,of hol

25、ding governments to account.We hope that the 2023 World Obesity Atlas can provide a starting point for these efforts.This fifth edition features updated predictions for the prevalence of obesity up to 2035,comparing regional outlooks and providing national scorecards for 187 countries assessing thei

26、r readiness to deal with obesity locally.The data show there is a long way to go,but in time,they can be a marker of how far we have come.This year,we also explore the economic impact of overweight and obesity;without action,these are projected to cost the global economy over US$4 trillion of potent

27、ial income in 2035.There are of course many reasons beyond financial ones to act on obesity,but this economic reality underlines just how important it is that we act quickly and decisively.Implementing the World Health Organizations Recommendations will be hard work,requiring coordinated efforts and

28、 resources,but the price of failing to act is far higher.We have an unprecedented opportunity to turn global obesity commitments into effective national action,and in doing so to transform health outcomes for millions of people around the world.Lets not waste it.7World Obesity Atlas 2023Starting con

29、versations individual voicesGlobal,regional,and national data provide vital insights into the impact of obesity at a macro level,but it is important not to lose sight of the human experiences that lie behind every statistic.Listening to the insights and needs of people living and working with obesit

30、y is essential if we are to design programmes and policies that truly serve their intended communities.The following statements are from people who are directly impacted by obesity.They were made in support of World Obesity Day 2023,which focused on encouraging meaningful conversations about obesity

31、 to change perceptions,shatter stigma,and catalyse action.This Atlas was published on World Obesity Day and supports the campaign.It is written in the hope that it will inform fruitful ongoing discussions about obesity around the globe.I decided to be an endocrinologist to understand what was broken

32、 in me.I have struggled with obesity for as long as I can remember.Today I am lucky to be a specialist in obesity and to be able to help others who are going through the same thing.Lets talk about obesity.Lets understand that obesity is a disease that requires comprehensive treatment with a global a

33、nd collective vision.It is not cured with willpower,but with interdisciplinary treatment that includes at least nutrition,physical activity,and better access to pharmacological and surgical options.That is why today more than ever we need to talk about obesity and make it part of the agenda.Maria Eu

34、genia Anselmi(Argentina)I have struggled with obesity my whole life.My obesity began in childhood and by the age of 21 my weight reached 160kg.By that time,I also had other metabolic diseases manifest.I was fortunate enough to be referred to an endocrinologist,and at that point I lost 90kg.In Austra

35、lia,we dont classify obesity as a chronic condition.I still struggle with obesity-related issues today,and with the stigmas attached.I also acknowledge the complexities around obesity and believe there is real power in sharing our stories the successes but also the challenges we face in order to cre

36、ate greater awareness and potentially reduce the stigma of obesity.Ivana Blekic(Australia)8World Obesity Atlas 2023The roots of obesity are systemic,society-based problems that require a collective response.You may ask:how can we work together to build a movement to beat obesity?Its very attainable.

37、We can do it by changing the perception of obesity from me to we;by community efforts to promote affordable food and beverage choices;by encouraging breastfeeding;and by creating a safe community that supports physical activity.We can fund obesity collectives and secure the involvement of early chil

38、dcare centres,hospitals,schools,and food sales venues in the education and implementation of obesity policies.Together we can help change the perspective of obesity.Stephanie E.Ebosele(Nigeria)I have lived with obesity my entire life.Since I was a child,I have been told that if I would simply eat le

39、ss and move more,I would have no problems.I certainly embraced this because I believe in being active and I believe in eating well.But that,in and of itself,is not sufficient to cope with this disease more effectively in the long term.I hope that this is a springboard to conversations in the future

40、which will quit assigning blame for a medical condition onto an individual and implying that they are non-compliant.That is simply not true.Barbara Cady(USA)Section 1:SummaryWorld Obesity Atlas 2023910World Obesity Atlas 20231.Summary2023 marks the publication of the fifth annual World Obesity Atlas

41、.Each Atlas has reported estimates for national obesity prevalence levels and trends,and each has also focused on a theme:the rise in childhood obesity,the likelihood of meeting global targets,the impact of obesity on COVID-19 risk,and the levels of disease and deaths associated with obesity.This ye

42、ar we focus on the economic impact of overweight and obesity and project how the economic impact will change by 2035.Every country is affected by obesity,with some lower income countries showing the highest increases in the last decade.No country has reported a decline in obesity prevalence across t

43、heir entire population,and none are on track to meet the World Health Organizations(WHO)target of no increase on 2010 levels by 2025.But there is hope following the introduction of new comprehensive WHO recommendations adopted in 2022.We now need to increase efforts to prevent,manage and treat obesi

44、ty throughout the life course.Action must be decisive,people-centred and integrated in order to increase our chances of successfully preventing and treating obesity.While preventing and treating obesity requires financial investment,the cost of failing to prevent and treat obesity will be far higher

45、.The estimates presented in this Atlas suggest that,on current trends,overweight and obesity will cost the global economy over US$4 trillion of potential income in 2035,nearly 3%of current global gross domestic product(GDP).The estimates for the continuing increase in obesity prevalence are based on

46、 published trends from 1975 to 2016.The period from 2020 to 2022 was marked by extensive restrictions or lockdowns in many countries that appear to have increased risk of weight gain by curtailing movements outside the home,exacerbating dietary and sedentary behaviours linked to weight gain,and sign

47、ificantly reducing access to care.In addition,many national surveys and measurement programmes which monitor weight and weight gain were halted.A rise in obesity prevalence,which appears to have occurred especially among children,may prove hard to reverse,and suggests that a side-effect of managing

48、the COVID-19 pandemic is a worsening of the obesity epidemic.In addition to reporting obesity prevalence,this Atlas provides an Obesity-NCD Preparedness Ranking,first reported in the 2022 Atlas,which takes account of countries current health system responses to non-communicable diseases(NCDs)and the

49、ir commitment to the implementation of obesity prevention policies.This ranking gives an indication of how well,or poorly,countries are prepared to address the rise in obesity and to deal with the consequences.The Atlas is completed by a series of national scorecards for over 180 countries globally,

50、presenting the current estimates and projections for obesity,economic impacts and national preparedness.These scorecards provide a wealth of knowledge,particularly for advocacy directed at policymakers who have the power to make a difference.Global overweight and obesityThe estimates for global leve

51、ls of overweight and obesity(BMI 25kg/m),also referred to as high BMI throughout this Atlas,suggest that over 4 billion people may be affected by 2035,compared with over 2.6 billion in 2020.This reflects an increase from 38%of the worlds population in 2020 to over 50%by 2035(figures exclude children

52、 under 5 years old).The prevalence of obesity(BMI 30kg/m)alone is anticipated to rise from 14%to 24%of the population over the same period,affecting nearly 2 billion adults,children and adolescents by 2035.11World Obesity Atlas 2023The rising prevalence of obesity is expected to be steepest among ch

53、ildren and adolescents,rising from 10%to 20%of the worlds boys during the period 2020 to 2035,and rising from 8%to 18%of the worlds girls.Table 1.1:Global overweight and obesity 20202035Numbers of people(aged over 5 years)and percentage of the population with overweight or obesity*2020202520302035Nu

54、mber with overweight or obesity(BMI25kg/m)(millions)2,6033,0413,5074,005Number with obesity(BMI 30kg/m)(millions)9881,2491,5561,914Proportion of the population with overweight or obesity(BMI 25kg/m)38%42%46%51%Proportion of the population with obesity(BMI 30kg/m)14%17%20%24%*For children and adolesc

55、ents,overweight and obesity are defined using the WHO classification of+1SD and+2SD above median growth reference.Table 1.2:Global obesity trends for children,adolescents and adults by gender 20202035Children and adolescents(aged 519 years)*Boys 2020Boys 2025Boys 2030Boys 2035Number with obesity(mil

56、lions)8Proportion of all boys10%14%17%20%Girls 2020Girls 2025Girls 2030Girls 2035Number with obesity(millions)72101135175Proportion of all girls8%10%14%18%*For children and adolescents,obesity is defined using the WHO classification of+2SD above median growth reference.Adults(aged 20 year

57、s and over)Men 2020Men 2025Men 2030Men 2035Number with obesity(millions)347439553690Proportion of all men14%16%19%23%Women 2020Women 2025Women 2030Women 2035Number with obesity(millions)466568693842Proportion of all women18%21%24%27%12World Obesity Atlas 2023Global economic impact Projected figures

58、for the economic impact of overweight and obesity(BMI 25kg/m)from 2020 to 2035 are shown in Table 1.3(Okunogbe et al,2022,2021).This shows an impact of US$1.96 trillion in 2020 rising to over US$4 trillion in 2035,at constant US$value.Here,economic impact includes both the healthcare costs of treati

59、ng obesity and its consequences and the impact of high BMI on economic productivity,with high BMI contributing to absenteeism,presenteeism(reduced productivity while at work),and premature retirement or death.The economic impact is estimated to reduce global GDP by 2.4%rising to 2.9%by 2035.These ar

60、e annual economic impacts which compare to the estimated impact of COVID-19 which caused the world economy to shrink by 3%of GDP during 2020,the pandemics worst year(World Bank,2022).Table 1.3:Global economic impact of high BMI(BMI 25kg/m)202020352020202520302035Economic impact(US$at 2019 value)(tri

61、llions)US$1.96 US$2.47 US$3.23 US$4.32Impact as proportion of total global GDP2.4%2.5%2.7%2.9%While the figures presented here and throughout this Atlas are indicative,it is also important to acknowledge some of the limitations.Firstly,there are several consequences of obesity that were not accounte

62、d for in the model,both healthcare related and non-healthcare related.Additionally,the estimates are based on current obesity trends which are not certain to continue.For instance,the data presented may trigger policies which alter the trajectory in certain countries,treatment may become more effect

63、ive and external factors(e.g.COVID-19)may also impact the projections.13World Obesity Atlas 2023Box 1:Additional consequences may add to the economic impactIn the modelling undertaken for the present Atlas,the economic impact of healthcare expenditure for the consequences of obesity relied on Organi

64、sation for Economic Co-operation and Development(OECD)estimates of national healthcare expenditure for these costs as a proportion of total national health expenditure.The OECD acknowledged that countries vary in the costs of delivering healthcare services,the types of services available and the sha

65、re of the population with access to the services,and that some countries with relatively low levels of obesity prevalence may nonetheless show a high level of obesitys impact on health expenditure(e.g.Norway,the Netherlands)and others with high levels of obesity prevalence may nevertheless show a lo

66、w level of impact on health expenditure(e.g.Romania,the Russian Federation)(OECD,2019).As global economic development increases,the nature of the services offered and their accessibility may well lead to increased expenditure across a much larger number of countries than anticipated in the present A

67、tlas.The OECDs estimates for the costs are in turn derived from the estimated association between high BMI and a range of 38 disease conditions calculated by the Global Burden of Disease Collaboration(GBD,2017).These 38 conditions cover many of the major comorbidities of obesity,including several fo

68、rms of cancer,hypertension and cardiovascular disease,diabetes,liver and kidney disease and several other NCDs.However,the list is by no means exhaustive in terms of additional comorbidities associated with high BMI which are likely to have healthcare costs attached,such as mental health and neurolo

69、gical conditions(e.g.Frank et al,2022,Afzal et al,2021,Brewis et al,2017,DOnghia et al,2021),endocrine disorders(Lim et al,2012),respiratory conditions(Senaratna et al,2017)and dental caries(Chen et al,2018),amongst others,demonstrating the importance of addressing obesity.In addition,the modelling

70、did not account for lower educational attainment,unemployment,long-term disability and early retirement,all of which are associated with obesity or its comorbidities,and all of which could increase economic impact.Section 2:Comparing the regionsWorld Obesity Atlas 20231415World Obesity Atlas 20232.C

71、omparing the regions In this section,we show projected obesity prevalence and projected economic costs for the regions of the world defined by the WHO.Note that throughout this section obesity in children and adolescents is defined by the WHO as+2SD above the reference median(De Onis et al,2007).For

72、 adults,obesity is defined as BMI 30kg/m.African Region(Sub-Saharan Africa)The prevalence of obesity among children and adolescents in the African Region is predicted to rise rapidly during the period 2020 to 2035,with girls,in particular,seeing a major increase from 5%to 14%.For women,the prevalenc

73、e of obesity is anticipated to rise from 18%to 31%(nearly a third of all women)by 2035.The annual economic impact is likely to reach over US$50 billion per year by 2035(at constant 2019 dollars),or 1.6%of the regions GDP.Table 2.1:Children and adolescents(aged 519 years)in the African Region with ob

74、esity 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)691421Proportion of all boys in the region3%4%6%7%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)10172640Proportion of all girls in the region5%7%10%14%Table 2.2:Adults in the Africa

75、n Region with obesity 20202035Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)18263854Proportion of all men in the region7%9%11%13%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)506994128Proportion of all women in the region18%22%26%31%Table 2.3:Eco

76、nomic impact of high BMI(BMI 25kg/m)in the African Region 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$23 US$30 US$40 US$53Impact as proportion of total regional GDP1.2%1.3%1.4%1.6%16World Obesity Atlas 2023Region of the Americas(North,Central and South America)The prevalenc

77、e of obesity among children and adolescents in the Americas is predicted to rise during the period 2020 to 2035,with boys,in particular,seeing an increase from 20%to 33%.Obesity prevalence is also anticipated to rise for men and women over the same 15-year period,with nearly half of all adults(47%to

78、 49%)predicted to be affected by obesity by 2035.The annual economic impact of high BMI levels may approach US$1.5 trillion(at constant 2019 dollars)by 2035,equivalent to 3.7%of the regions expected GDP.Table 2.4:Children and adolescents(aged 519 years)in the Americas with obesity 20202035Boys 2020B

79、oys 2025Boys 2030Boys 2035Number of boys with obesity(millions)24283135Proportion of all boys in the region20%24%29%33%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)18212427Proportion of all girls in the region16%19%23%26%Table 2.5:Adults in the Americas with obesity

80、20202035Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)7Proportion of all men in the region32%36%41%47%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)8Proportion of all women in the region37%40%45%49%Table 2.6:Economic impact

81、of high BMI(BMI 25kg/m)in the Americas 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$870 US$1,030US$1,230US$1,470Impact as proportion of total regional GDP3.2%3.3%3.5%3.7%17World Obesity Atlas 2023Eastern Mediterranean Region(North Africa and Middle East)The prevalence of obe

82、sity among children and adolescents in the Eastern Mediterranean Region is predicted to double during the period 2020 to 2035,with both boys and girls seeing prevalence levels rise from 11%to 23%over the period.For women,the prevalence is anticipated to rise to over 40%by 2035.The economic impact of

83、 high BMI is predicted to rise above US$160 billion annually by 2035(at constant 2019 dollars),equivalent to over 3%of the regions GDP at the time.Table 2.7:Children and adolescents(aged 519 years)in the Eastern Mediterranean Region with obesity 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of

84、boys with obesity(millions)14192532Proportion of all boys in the region11%15%18%23%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)13182432Proportion of all girls in the region11%14%18%23%Table 2.8:Adults in the Eastern Mediterranean Region with obesity 20202035Men 2020

85、Men 2025Men 2030Men 2035Number of men with obesity(millions)43567292Proportion of all men in the region20%23%27%31%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)637897120Proportion of all women in the region30%34%37%41%Table 2.9:Economic impact of high BMI(BMI 25kg/m)

86、in the Eastern Mediterranean Region 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$70US$92 US$122US$163 Impact as proportion of total regional GDP2.3%2.5%2.8%3.1%18World Obesity Atlas 2023European RegionThe prevalence of obesity among children and adolescents in the European R

87、egion is predicted to rise during the period 2020 to 2035,with 14%of girls and 21%of boys expected to be affected by obesity by 2035.For adults,obesity is predicted to affect 35%of all women and 39%of all men by 2035.The economic impact of high BMI is predicted to rise above US$800 billion annually

88、by 2035(at constant 2019 dollars),equivalent to 2.6%of the regions GDP at the time.Table 2.10:Children and adolescents(aged 519 years)in the European Region with obesity 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)11131517Proportion of all boys in the region13%15

89、%18%21%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)78911Proportion of all girls in the region8%10%12%14%Table 2.11:Adults in the European Region with obesity 20202035Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)89102117133Proportion of all men

90、 in the region26%30%34%39%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)0Proportion of all women in the region28%30%32%35%Table 2.12:Economic impact of high BMI(BMI 25kg/m)in the European Region 202020352020202520302035Economic impact(US$at 2019 value)(bill

91、ions)US$516US$596 US$691 US$807Impact as proportion of total regional GDP2.3%2.4%2.5%2.6%19World Obesity Atlas 2023South-East Asian RegionAlthough currently at a relatively low level,the prevalence of obesity among children and adolescents in the South-East Asian Region is predicted to rise dramatic

92、ally during the period 2020 to 2035,from 3%to 11%of girls,and from 5%to 16%of boys.Similarly,the prevalence levels for adults are expected to double over the period,from 4%to 10%of men,and from 8%to 16%of women.The economic impact of high BMI is predicted to rise above US$250 billion annually by 203

93、5(at constant 2019 dollars),equivalent to over 2%of the regions GDP at the time.Table 2.13:Children and adolescents(aged 519 years)in the South-East Asian Region with obesity 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)14213041Proportion of all boys in the region

94、5%8%11%16%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)8131827Proportion of all girls in the region3%5%8%11%Table 2.14:Adults in the South-East Asian Region with obesity 20202035Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)28405677Proportion of

95、 all men in the region4%6%7%10%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)517095125Proportion of all women in the region8%10%13%16%Table 2.15:Economic impact of high BMI(BMI 25kg/m)in the South-East Asian Region 202020352020202520302035Economic impact(US$at 2019 va

96、lue)(billions)US$65US$102US$162US$254Impact as proportion of total regional GDP1.4%1.6%1.9%2.2%20World Obesity Atlas 2023Western Pacific RegionChildren and adolescents in the Western Pacific Region are likely to see a pronounced increase in the prevalence of obesity during the period 2020 to 2035,fr

97、om 9%to 28%of girls,and from 19%to 41%of boys.For adults,the prevalence of obesity is expected to double over the period,from 8%to 19%of men,and from 9%to 16%of women.The economic impact of high BMI is predicted to rise above US$1.5 trillion annually by 2035(at constant 2019 dollars),equivalent to n

98、early 3%of the regions GDP at the time.Table 2.16:Children and adolescents(aged 519 years)in the Western Pacific Region with obesity 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)36505860Proportion of all boys in the region19%26%34%41%Girls 2020Girls 2025Girls 2030

99、Girls 2035Number of girls with obesity(millions)16253338Proportion of all girls in the region9%15%21%28%Table 2.17:Adults in the Western Pacific Region with obesity 20202035Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)5880109145Proportion of all men in the region8%11%14%19%Wom

100、en 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)6280102127Proportion of all women in the region9%11%13%16%Table 2.18:Economic impact of high BMI(BMI 25kg/m)in the Western Pacific Region 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$412US$625US$984US

101、$1,560Impact as proportion of total regional GDP1.7%2.1%2.5%2.8%21World Obesity Atlas 2023Box 2:Climate change and new pandemicsThere are several external factors which may exacerbate the economic impact of obesity.High among these are climate change and new viral pandemics.A Lancet Commission repor

102、t on The Global Syndemic on obesity,undernutrition and climate change was published in the Lancet in 2019(Swinburn et al,2019).It highlighted how the epidemics of obesity,undernutrition and climate change co-exist,share many of the same drivers and solutions,and pose a threat to both human and plane

103、tary health.Simply put,climate change increases food insecurity.While extreme food insecurity has been found to lead to undernutrition,mild or moderate food insecurity is linked to obesity.Regarding climate change,high ambient temperatures can specifically affect people with higher BMIs because of t

104、heir reduced ability to dissipate heat(Koch et al,2021).With increasing frequency of heat waves the need for hospitalisation for heat strokes and heat-related respiratory,cardiovascular and kidney treatment may rise most severely for these individuals.The economic impact is not easily predicted at p

105、resent,but climate patterns are showing trends that imply heat waves may be experienced in many regions of the world over the next decade.Regarding respiratory infectious disease,the World Obesity Atlas for 2021 described the greatly increased risk of hospitalisation and intensive care experienced b

106、y people with higher BMI when suffering from SARS-CoV-2 infection and noted that this had been shown in earlier epidemics of other strains of respiratory viral infections(World Obesity,2021).A significant proportion of the healthcare impact of the COVID-19 pandemic can be attributed to high BMI in t

107、he population.Future viral pandemics of the magnitude of COVID-19 are predicted to occur with a probability of 2%in any given year,and rising(Marani et al,2021).Box 3:The impact of environmental obesogensChemical pollutants have been found to have endocrine-affecting properties which promote weight

108、gain and obesity.These chemical pollutants,collectively termed endocrine disruptors,have been identified in food packaging,cosmetics,roadside dust and in household furnishings.They derive from agrochemicals,plasticisers,anti-combustion sprays and marine paints.Global production of plastics has grown

109、 from 80 million metric tons(mmt)in 1980 to 400 mmt in 2020,and is forecast to reach nearly 800 mmt by 2030 and nearly 1,200 mmt by 2040(Endocrine Society,2020).Globalisation and the increase in ultraprocessed foods in countries globally,particularly lower-middle income countries,is likely to increa

110、se plastic-based products and plastic waste,including micro-plastics.In turn the exposure to potential obesogenic pollutants may rise rapidly.Section 3:Comparing levels of economic developmentWorld Obesity Atlas 20232223World Obesity Atlas 20233.Comparing levels of economic development In this secti

111、on,we show projected obesity prevalence and projected economic impact for regions defined by the World Bank income levels(World Bank,2023).Note throughout this section that obesity in children and adolescents is defined by the WHO as+2SD above the reference median(De Onis et al,2007).For adults,obes

112、ity is defined as BMI 30kg/m.Low income countriesThe World Bank defines low income as countries with a gross national income(GNI)per capita of less than US$1,085 in 2021.Children and adolescents in low income countries are likely to experience a dramatic increase in the prevalence of obesity during

113、the period 2020 to 2035,from 4%to 13%of girls,and from 2%to 6%of boys.The average prevalence of obesity in adults is expected to double over the period,from 5%to 11%of men,and from 14%to 26%of women.The economic impact of high BMI is predicted to reach US$9billion annually by 2035(at constant 2019 d

114、ollars),equivalent to over 1%of low income countries GDP at the time.Table 3.1:Children and adolescents(aged 519 years)with obesity in low income countries 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)35711Proportion of all boys in the region2%3%5%6%Girls 2020Girl

115、s 2025Girls 2030Girls 2035Number of girls with obesity(millions)691523Proportion of all girls in the region4%6%9%13%Table 3.2:Adults with obesity in low income countries 20202035 Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)8121826Proportion of all men in the region5%7%9%11%Wo

116、men 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)21314564Proportion of all women in the region14%17%21%26%Table 3.3:Economic impact of high BMI(BMI 25kg/m)in low income countries 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$3US$5US$6US$9Impact as p

117、roportion of total low income countries GDP0.9%0.9%1.0%1.1%24World Obesity Atlas 2023Lower-middle income countriesLower-middle income countries are defined by the World Bank as those with a GNI per capita between US$1,086 and$4,255.In lower-middle income economies,children and adolescents are likely

118、 to see a marked increase in the prevalence of obesity during the period 2020 to 2035,from 5%to 14%of girls,and from 6%to 16%of boys.For adults,the prevalence of obesity is expected to nearly double over the period,from 7%to 14%of men,and from 13%to 23%of women.The economic impact of high BMI is pre

119、dicted to reach US$362 billion annually by 2035(at constant 2019 dollars),equivalent to over 2%of lower-middle income countries GDP at the time.Table 3.4:Children and adolescents(aged 519 years)with obesity in lower-middle income countries 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys w

120、ith obesity(millions)28425981Proportion of all boys in the region6%8%12%16%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)23344969Proportion of all girls in the region5%7%10%14%Table 3.5:Adults with obesity in lower-middle income countries 20202035 Men 2020Men 2025Men

121、2030Men 2035Number of men with obesity(millions)74101137185Proportion of all men in the region7%9%11%14%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)6Proportion of all women in the region13%16%19%23%Table 3.6:Economic impact of high BMI(BMI 25kg/m)in lower

122、-middle income countries 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$112 US$164US$244US$362Impact as proportion of total lower-middle income countries GDP1.5%1.6%1.9%2.1%25World Obesity Atlas 2023Upper-middle income countriesCountries with a GNI per capita between US$4,256

123、and USS$13,205 are defined by the World Bank as being upper-middle income.Compared with children and adolescents in lower-middle income countries,those in upper-middle income countries are predicted to experience very high levels of obesity prevalence by 2035,with 31%of girls and 40%of boys living w

124、ith obesity.Adults are predicted to reach 27%prevalence of obesity by 2035.The economic impact is predicted to exceed an annual US$1.6 trillion(at constant 2019 dollars)by 2035,equivalent to more than 3%of upper-middle income countries GDP at the time.Table 3.7:Children and adolescents(aged 519 year

125、s)with obesity in upper-middle income countries 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)51708287Proportion of all boys in the region19%26%33%40%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)29425362Proportion of all girls in th

126、e region12%17%23%31%Table 3.8:Adults with obesity in upper-middle income countries 20202035 Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)8Proportion of all men in the region14%18%22%27%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(millions)175

127、208247291Proportion of all women in the region19%21%25%28%Table 3.9:Economic impact of high BMI(BMI 25kg/m)in upper-middle income countries 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$474US$699US$1,070US$1,660Impact as proportion of total upper-middle income countries GDP2.

128、0%2.4%2.8%3.1%26World Obesity Atlas 2023High income countriesHigh income countries are defined by the World Bank as those with a GNI per capita of US$13,205 or more.In high income countries,childhood obesity levels are similar to those in upper-middle income countries.Although expected to rise over

129、the period 20202035,the prevalence of childhood obesity in high income countries is likely to be overtaken by the prevalence in upper-middle income countries.For adults,high income countries show the greatest obesity prevalence levels of any income group,and this continues throughout the period,with

130、 obesity prevalence expected to reach 37%of women and 42%of men by 2035.The economic impact was estimated to exceed US$1.3 trillion in 2020,rising to nearly US$2.3 trillion annually by 2035(at constant 2019 dollars),equivalent to 3%of high income countries GDP at the time.Table 3.10:Children and ado

131、lescents(aged 519 years)with obesity in high income countries 20202035Boys 2020Boys 2025Boys 2030Boys 2035Number of boys with obesity(millions)21242629Proportion of all boys in the region19%23%26%30%Girls 2020Girls 2025Girls 2030Girls 2035Number of girls with obesity(millions)14161820Proportion of a

132、ll girls in the region14%16%19%22%Table 3.11:Adults with obesity in high income countries 20202035 Men 2020Men 2025Men 2030Men 2035Number of men with obesity(millions)1Proportion of all men in the region29%33%37%42%Women 2020Women 2025Women 2030Women 2035Number of women with obesity(milli

133、ons)1Proportion of all women in the region28%31%34%37%Table 3.12:Economic impact of high BMI(BMI 25kg/m)in high income countries 202020352020202520302035Economic impact(US$at 2019 value)(billions)US$1,370US$1,610US$1,900US$2,270Impact as proportion of total high income countries GDP2.6%2.

134、7%2.9%3.0%27World Obesity Atlas 2023Comparison of trends across income groupsFrom the tables in this section,we can compare how the prevalence of obesity is developing over time for the different income groups as a proportion of the total.Of the worlds children and adolescents living with obesity,an

135、 estimated 20%were resident in high income countries in 2020,and this proportion is predicted to fall to less than 13%by 2035.By far the greatest proportion of both boys and girls living with obesity are resident in middle income countries.Figure 3.1:A rising proportion of boys with obesity live in

136、middle income countriesFigure 3.2:A rising proportion of girls with obesity live in middle income countriesOf the worlds men living with obesity,39%were resident in high income countries in 2020,but this is predicted to fall to 31%by 2035.Of women living with obesity,the percentage resident in high

137、income countries is anticipated to fall from 29%to 23%.In contrast,the proportion of people with obesity who are resident in middle income countries is expected to increase to 66%of men and 70%of women.0070809020302035PercentLOW INCOMELOWER-MIDDLE INCOMEUPPER-MIDDLE INCOMEHIGH

138、INCOMEHIGH INCOME0070809020302035Percent0070809020302035PercentLOW INCOMELOWER-MIDDLE INCOMEUPPER-MIDDLE INCOMEHIGH INCOME28World Obesity Atlas 2023Figure 3.3:A rising proportion of men with obesity live in middle income countriesFigure 3.4:A rising propor

139、tion of women with obesity live in middle income countriesIn some but certainly not all higher income countries,the rate at which obesity prevalence levels are rising appears to be slowing down.In lower income countries there are many reasons to expect rising obesity prevalence,including(a)trends in

140、 dietary preferences towards more highly processed foods,(b)trends towards greater levels of sedentary behaviour,(c)weaker policies to control the food supply and food marketing and(d)less well-resourced healthcare services to assist in weight management and in health education in the population all

141、 of which can continue to stimulate an increase in obesity prevalence.Put another way,while globalised food systems have largely affected high income and increasingly upper-middle income countries,the last two decades have seen lower income countries drawn into global food systems,with corresponding

142、 nutrition and health behaviours.Similar arguments may be made for a potential increase in obesity prevalence in the geographical regions where prevalence is currently low.As shown in the previous section,the trends suggest a gradual rise in prevalence for all groups over the period 2020 to 2035,but

143、 the pace of change for lower income countries and especially the lowest income countries could well increase relative to the last two decades.Lower-middle income countries with large populations,such as India,Pakistan,Indonesia and Nigeria may quite quickly follow the pattern of upper-middle income

144、 countries such as Mexico,Brazil,and Turkey in seeing a rapid rise in obesity prevalence,especially among children and adolescents.HIGH INCOME0070809020302035Percent0070809002520302035PercentLOW INCOMELOWER-MIDDLE INCOMEUPPER-MIDDLE INCOMEHIGH INCOMEHIGH I

145、NCOME0070809020302035Percent0070809002520302035PercentLOW INCOMELOWER-MIDDLE INCOMEUPPER-MIDDLE INCOMEHIGH INCOME29World Obesity Atlas 2023Box 4:Strengthening health systems on obesityWorld Obesity Federations research shows that people living with obesity

146、 face a number of barriers to care:they often cannot get a diagnosis(because obesity may not be classified as a disease)or access the treatment they need from knowledgeable and trained health professionals,and are forced to incur substantial out-of-pocket expenses to receive appropriate medical trea

147、tment.Top perceived barriers to effective obesity treatmentBased on findings from over 274 obesity specialists from 68 countries(Leach et al,2020)As described in the 2022 World Obesity Atlas,there are no robust measures of national capacity or capability to provide surgical procedures or primary car

148、e weight management services,and there are few indicators available showing success in obesity reduction measures through prevention policies.The World Obesity Federation has developed a proxy measure for a countrys preparedness for the high levels of obesity it may face,using available evidence of

149、a countrys health systems regarding relevant NCDs.The Obesity-NCD Preparedness Rankings provide an indication of the most and least well prepared countries.It is clear that the preparedness ranks are not distributed uniformly around the globe but vary markedly across national income levels and geogr

150、aphical regions.Unsurprisingly,health services in low and middle income countries are least prepared to treat obesity,a deeply concerning fact given how many people in these areas live with obesity or are predicted to be living with obesity in 2035.Table 3.13:Country preparedness,by country income g

151、roup and regionRegionPopulation-weighted average rank(out of 183)Africa150.2Americas64.5Eastern Mediterranean 121.8Europe37.0South-East Asia105.0Western Pacific 53.5Low income153.6Lower-middle income116.3Upper-middle income57.7High income29.3 World87.0Source:World Obesity Federation,202230World Obes

152、ity Atlas 2023Box 5:Impact of COVID-19 lockdown requirementsEarly in the COVID-19 pandemic obesity was recognised as a significant risk factor for the development of serious respiratory problems after contracting SARS-CoV-2.However,it is the reverse issue that may affect the prevalence of obesity in

153、to the future,namely the impact of public health measures to limit the spread of COVID-19 by restricting movements during periods of lockdown.Several surveys have been undertaken which compare health behaviours and obesity prevalence before and during lockdown,and these have demonstrated reduced phy

154、sical activity,increased consumption of processed foods and a rise in the prevalence of overweight and obesity,especially among children.One meta-analysis looking at 38 studies in 17 countries around the globe suggested that periods of lockdown added around 1.5kg bodyweight to adults and adolescents

155、(aged 16 years)(Bakaloudi et al,2021).A study of over 10,000 adolescents and young adults in China found the lockdown period during early 2020 to have increased obesity prevalence from 10%to 12.5%and overweight prevalence from 21%to 25%(Yang et al,2020).Similarly,a 2021 meta-analysis of 12 studies f

156、rom 8 countries focused on younger children found an increase in obesity prevalence from 22%to 25%and an increase in overweight prevalence from 25%to 28%during the lockdown period(Chang et al,2020).It is generally the case that weight gain in a population are hard to prevent or reverse,as found with

157、 many attempts to do so in both child and adult populations.It might be assumed,therefore,that a rise in prevalence occurring in a short period of time might lead to continuing higher levels of overweight and obesity in subsequent years,indicating that the modelled trends used in the present Atlas w

158、ould need to be adjusted upwards to take account of the COVID-19 lockdown periods.Although one large-scale survey of children in England conducted in the school year 2021 to 2022 suggests that some reversal of the increase may be possible,especially among younger children(NHS,2022),the cause of such

159、 a reversal and whether it is sustained remains to be demonstrated.There is a need for further research on the impact,especially in the long term,of COVID-19 lockdowns on weight and health behaviours.Section 4:Taking action:comprehensive national plans and universal health coverageWorld Obesity Atla

160、s 20233132World Obesity Atlas 20234.Taking action:comprehensive national plans and Universal Health CoverageAs highlighted throughout this Atlas,the number of people with obesity is increasing globally,with significant economic impact.Furthermore,there are significant differences between regions and

161、 levels of economic development that require urgent and tailored action to address obesity and reduce the prevalence.Action on obesity is commonly siloed and fragmented,and obesity remains under-prioritised within global health and NCD strategies as a risk factor rather than a disease in its own rig

162、ht.False trade-offs are often seen between prevention and treatment,when the reality is population-level prevention strategies need to be complemented with action within health systems.Accelerating global action on obesity2022 marked a crucial year for obesity policy globally,with the new Internatio

163、nal Classification of Disease(ICD-11)coming into force which includes an improved definition of obesity(WHO,2022iii)*,a new set of WHO recommendations on the prevention and management of obesity throughout the life course(WHO,2022iv)and an accompanying Acceleration Plan to support implementation of

164、the recommendations in key frontrunner countries(WHO,2022v).The new recommendations serve as the foundations for global and national action plans and strategies which can support and expedite meaningful,integrated and comprehensive action on obesity.The new recommendations reiterate a number of exis

165、ting recommendations on obesity,particularly related to food environments and physical activity.In addition,for the first time there are also concrete recommendations for the health system,including clear criteria for providing a continuum of care through health promotion,disease prevention,diagnosi

166、s,treatment and management of obesity which is equitably offered and progressively implemented as part of Universal Health Coverage(UHC)and included within primary health care(PHC).As evidenced throughout this Atlas,there are vast differences in obesity prevalence and economic impact between regions

167、 and levels of economic development.Furthermore,every country has different political situations and entry points.This highlights the importance of contextualising the global recommendations and tailoring the local context in terms of need and situation.While on the one hand we know that action on o

168、besity requires comprehensive action across a number of key areas(as demonstrated by the ROOTS framework see Box 6)we also know that no one size fits all.Finding appropriate entry points at the national level,and sometimes sub-national,will be vital for ensuring the impact of action taken.*Obesity i

169、s a chronic complex disease defined by excessive adiposity that can impair health.It is in most cases a multifactorial disease due to obesogenic environments,psycho-social factors and genetic variants.In a subgroup of patients,single major etiological factors can be identified(medications,diseases,i

170、mmobilization,iatrogenic procedures,monogenic disease/genetic syndrome).Body mass index(BMI)is a surrogate marker of adiposity calculated as weight(kg)/height(m).The BMI categories for defining obesity vary by age and gender in infants,children and adolescents.For adults,obesity is defined by a BMI

171、greater than or equal to 30.00 kg/m.There are three levels of severity in recognition of different management options.33World Obesity Atlas 2023Strengthening health systems and improving environments Despite now having recommendations for obesity to be integrated within PHC and UHC,health systems re

172、main ill-equipped to address obesity and its comorbidities,putting pressure on fragile health systems worldwide.The new recommendations and emphasis on health system policies for obesity come ahead of the second United Nations(UN)High Level meeting on UHC(UN HLM on UHC)which takes place in September

173、 2023.During the first UN HLM on UHC in 2019,UN Member States committed to Progressively covering 1 billion additional people,with a view of covering all people by 2030.This included a commitment to address NCDs as part of UHC and agreed to take multisectoral action to promote active and healthy lif

174、estyles and ensure a world free from malnutrition in all its forms.Progress towards achieving UHC is off track,exacerbated by the COVID-19 pandemic which has brought the world further away from the 2023 targets set by the Political Declaration of the first UN HLM on UHC.Ensuring that UHC provides a

175、framework for the prevention,management and treatment of obesity is a vital element of global efforts to meet 2025 targets on obesity and NCDs and the 2030 Sustainable Development Goals.Ahead of the second UN HLM on UHC,7 priority actions have been identified for obesity within the context of UHC,th

176、ese include:high-level political commitment and investment in UHC,leaving no one behind,investment in health workers,better surveillance and data collection of disease prevalence,increasing public financing for health,and stronger accountability mechanisms.In addition to strengthening health systems

177、,UN Member States need to underpin their health system policies with commitments which address the social,commercial and environmental determinants of health which,left unaddressed,can undermine all efforts and investment in health promotion.For instance,exposure to the promotional marketing of less

178、 healthy food products and infant formula is likely to continue,especially in the less developed economies discussed above.Meanwhile,incentives for sedentary behaviour,increased use of mechanised labour and mechanised transport,along with increased urbanisation,are also likely to continue at least a

179、t the current pace.Addressing these determinants can help promote health across the population and increase the efficacy of obesity treatments.This will require significant cross-government efforts and is important for preventing obesity across all populations,particularly vulnerable populations suc

180、h as children and those from lower socioeconomic groups who are more susceptible to the wider determinants of health and who will benefit the most from action.Governments should take steps to improve environments,using legal frameworks and regulation to protect all,including comprehensive marketing

181、restrictions on foods high in fat,sugar and salt and strong mechanisms to protect the policymaking process from health-harming industries.Box 6:ROOTS FrameworkIn 2020,World Obesity Federation,in consultation with its members,developed the ROOTS framework which sets out an integrated,equitable,compre

182、hensive and person-centred approach to addressing obesity.The framework is based on five key pillars which encompass the recognition of obesity as a disease and driver of other NCDs,enhanced monitoring and surveillance,prevention of obesity throughout the life course,the provision of improved health

183、 services and treatment for people living with obesity,and the need for a systems-based approach.These pillars identify the key areas in which action is needed to address obesity,while allowing for tailoring to suit different contexts,starting points and economic situations.Recognise obesityObesity

184、monitoringObesity preventionTreatment of obesitySystems-based approachROOTS34World Obesity Atlas 2023Priority actions for UHC and their applicability to obesity1 High-level political commitment and investment in UHC,ensuring efforts are cross-departmental and cross-sectoral.For obesity,this means in

185、vesting in prevention,management and treatment of obesity;recognising that obesity is a disease;including obesity in national NCD strategies;and national recommendations and guidelines for a holistic multi-disciplinary approach to obesity.2 Leave no one behind,regardless of race,gender,age,citizensh

186、ip or ability,ensuring all have access to health services without financial hardship.Redressing inequality is at the heart of UHC.For obesity,this means the progressive realisation of equitable access to publicly funded obesity health care,and addressing weight bias,which is often a systemic barrier

187、 to access to care.3 Investment in health workers,recognising the importance of well-trained professionals for delivering high-quality care.For obesity,this means ensuring that health professionals are trained and equipped in the prevention,management and treatment of obesity.4 Community empowerment

188、,giving patients,communities and citizens more control over their health and ensuring civil society are consulted and engaged.For obesity,this includes a person-orientated approach to obesity prevention,management and treatment,which addresses weight stigma and bias and ensures that people with obes

189、ity are involved in service design,guidelines and professional training.5 Better surveillance and data collection of disease prevalence to ensure care is prioritised and delivered where it is most needed and to aid early diagnosis and secondary prevention.For obesity,this includes national health mo

190、nitoring survey and/or surveillance that includes measured height and weight,especially in children.6 Increase public financing for health,ensuring resources are used equitably and efficiently so that everyone can get the care they need without financial hardship,including through using innovative d

191、omestic resource mobilisation.For NCDs including obesity,this could include funding treatment through a tax on sugar-sweetened beverages,tackling both the environmental determinants of obesity and the underfunding of care.7 Ensure strong accountability mechanisms,nationally and globally,to monitor p

192、rogress and commitments.For obesity,this includes monitoring progress towards achieving global obesity targets.Section 5:Country scorecardsWorld Obesity Atlas 20233536World Obesity Atlas 2023Country IndexAAfghanistanAlbaniaAlgeriaAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBBa

193、hamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBrunei DarussalamBulgariaBurkina FasoBurundiCCabo VerdeCambodiaCameroonCanadaCentral African RepublicChadChileChinaChina(Hong Kong SAR)ColombiaComorosCongoCosta RicaCote dIvoireCroatiaCubaCyprusCz

194、echiaDDemocratic Republic of the CongoDenmarkDjiboutiDominican RepublicEEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFFijiFinlandFranceFrench PolynesiaGGabonGambiaGeorgiaGermanyGhanaGreeceGrenadaGuatemalaGuineaGuinea BissauGuyanaHHaitiHondurasHungaryIIcelandIndiaIndonesiaIra

195、nIraqIrelandIsraelItalyJJamaicaJapanJordanKKazakhstanKenyaKiribatiKuwaitKyrgyzstanLLao PDRLatviaLebanonLesothoLiberiaLibyaLithuaniaLuxembourg37World Obesity Atlas 2023MMadagascarMalawiMalaysiaMaldivesMaliMaltaMauritaniaMauritiusMexicoMicronesia(Federated States of)MoldovaMongoliaMontenegroMoroccoMoz

196、ambiqueMyanmarNNamibiaNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNorth KoreaNorth MacedoniaNorwayOOmanPPakistanPalestinePanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalPuerto RicoQQatarRRomaniaRussian FederationRwandaSSaint LuciaSaint Vincent and the GrenadinesSamoaSao Tome and Princ

197、ipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth KoreaSpainSri LankaSudanSurinameSwedenSwitzerlandSyrian Arab RepublicTTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanUUgandaUkraineUnite

198、d Arab EmiratesUnited KingdomUnited States of AmericaUruguayUzbekistanVVanuatuVenezuelaViet NamYYemenZZambiaZimbabwe0050060070080090002020202520302035US$millions46802020202520302035%obesityamberdeep reddeep reddeep reddeep redANNUAL INCREASE IN ADULT OBESITY 20202035

199、5.2%VERY HIGHGLOBAL PREPAREDNESS RANKING=171/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20352.8%VERY HIGHADULTS WITH OBESITY 203515%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020358.8%VERY HIGHAfghanistanPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035H

200、ealthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202048 322 18 1.8%202575 495 24 2.1%2030115 755 31 2.5%2035169 1,129 40 2.8%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Heal

201、thcare Other health expenditure Premature death Absenteeism Presenteeism38World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from

202、 RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.005006007008009002020202520302035US$millions55402020202520302035%obesitydeep redlight reddeep

203、reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.6%HIGHGLOBAL PREPAREDNESS RANKING59/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20353.3%VERY HIGHADULTS WITH OBESITY 203537%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020356.7%VERY HIGHAlbaniaPROJECTED ECONOMIC IMPACT OF OVERWEIGH

204、T(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202058 359 15 2.4%202569 476 18 2.6%203079634 21 3.0%203591 853 26 3.3%PROJECTED TRENDS IN THE PREVALEN

205、CE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism39World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 202

206、0 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.0040005000600070002020202520302035US$millions152025303

207、5404550552020202520302035%obesitydeep redlight reddeep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.7%HIGHGLOBAL PREPAREDNESS RANKING61/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20352.9%VERY HIGHADULTS WITH OBESITY 203549%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.8

208、%VERY HIGHAlgeriaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020805 3,196 163 2.0%20251,007 4,028 184 2.2%20

209、301,282 5,162 205 2.5%20351,631 6,640 233 2.9%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism40World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(r

210、ights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.

211、See Appendix.020040060080000202520302035US$millions0552020202520302035%obesitylight reddeep reddeep redlight reddeep redANNUAL INCREASE IN ADULT OBESITY 202020354.9%VERY HIGHGLOBAL PREPAREDNESS RANKING160/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.2%HIGHADUL

212、TS WITH OBESITY 203522%HIGHANNUAL INCREASE IN CHILD OBESITY 202020358.5%VERY HIGHAngolaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact

213、 of BMI 25kg/m2 on GDP202069 640 80 0.8%2025108 891 92 1.0%2030167 1,241 115 1.1%2035248 1,707 145 1.2%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism41World Obesity Atlas 2023SOURCES Obesity

214、data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative

215、 preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.42628303234363840422020202520302035%obesitydeep redlight reddeep redmid-blueamberANNUAL INCREASE IN ADULT OBESITY 202020352.7%HIGHGLOBAL PREPAREDNESS RANKING88/183AVERAGEOVERWEIGHT IMPACT ON NATIONAL GDP 2035N/AADULTS W

216、ITH OBESITY 203534%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.6%VERY HIGHAntigua and BarbudaPROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls42World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See Re

217、ferences.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.020004000

218、6000800040002520302035US$millions0452020202520302035%obesitydeep redamberlight reddeep redamberANNUAL INCREASE IN ADULT OBESITY 202020351.9%MEDIUMGLOBAL PREPAREDNESS RANKING81/183AVERAGEOVERWEIGHT IMPACT ON NATIONAL GDP 20352.4%VERY HIGHADULTS WITH OBESITY 203543%VER

219、Y HIGHANNUAL INCREASE IN CHILD OBESITY 202020352.4%HIGHArgentinaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2

220、0203,420 9,017 407 2.2%20254,064 10,798 504 2.1%20304,794 12,863 563 2.3%20355,627 15,333 635 2.4%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism43World Obesity Atlas 2023SOURCES Obesity data:

221、RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative prep

222、aredness to tackle obesity,from 1=best to 183=worst.See Appendix.005006007008009000202520302035US$millions552020202520302035%obesitydeep redlight reddeep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.2%HIGHGLOBAL PREPAREDNESS RANKING56/183FAIRLY GOO

223、DOVERWEIGHT IMPACT ON NATIONAL GDP 20354.0%VERY HIGHADULTS WITH OBESITY 203532%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020353.2%VERY HIGHArmeniaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic

224、impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202081 365 13 2.9%2025105 511 15 3.3%2030139 740 20 3.7%2035180 1,065 27 4.0%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absentee

225、ism Presenteeism44World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global

226、Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.05000000025000300003500040000450005000055000600002020202520302035US$millions54045502020202520302035%obesitydeep redlight redlight reddeep reddeep gree

227、nANNUAL INCREASE IN ADULT OBESITY 202020352.2%HIGHGLOBAL PREPAREDNESS RANKING24/183GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20352.5%VERY HIGHADULTS WITH OBESITY 203547%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020352.6%HIGHAustraliaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWE

228、IGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202010,952 28,083 1,395 2.0%202512,917 35,104 1,631 2.2%203015,249 43,907 1,873 2.3%203517,914 55,024 2,170 2.5%PROJECTED TRENDS IN T

229、HE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism45World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual grow

230、th rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.0200040006000800040002020202520302035US$mil

231、lions55402020202520302035%obesitydeep redlight redlight reddeep reddeep greenANNUAL INCREASE IN ADULT OBESITY 202020352.4%HIGHGLOBAL PREPAREDNESS RANKING11/183GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20352.4%VERY HIGHADULTS WITH OBESITY 203534%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020

232、352.8%HIGHAustriaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20203,186 8,872 415 2.1%20253,599 10,314 478 2.2

233、%20304,009 11,898 526 2.3%20354,422 13,746 581 2.4%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism46World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaborat

234、ion(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=w

235、orst.See Appendix.050002500300035002020202520302035US$millions55402020202520302035%obesitydeep redlight reddeep reddeep redamberANNUAL INCREASE IN ADULT OBESITY 202020352.5%HIGHGLOBAL PREPAREDNESS RANKING101/183AVERAGEOVERWEIGHT IMPACT ON NATIONAL GDP 20354.4%VERY HIGHADULTS WI

236、TH OBESITY 203533%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.4%VERY HIGHAzerbaijanPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionIm

237、pact of BMI 25kg/m2 on GDP2020108 1,273 46 2.8%2025130 1,740 54 3.2%2030165 2,444 64 3.8%2035210 3,461 79 4.4%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism47World Obesity Atlas 2023SOURCES O

238、besity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their r

239、elative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.05003003504004505002020202520302035US$millions20253035404550552020202520302035%obesitydeep redamberlight reddeep redamberANNUAL INCREASE IN ADULT OBESITY 202020351.9%MEDIUMGLOBAL PREPAREDNESS RANKING84/183AVERAGE

240、OVERWEIGHT IMPACT ON NATIONAL GDP 20352.9%VERY HIGHADULTS WITH OBESITY 203549%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020352.8%HIGHBahamasPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact

241、 of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202064 250 11 2.2%202573 311 14 2.3%203082 386 15 2.6%203591 483 17 2.9%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Present

242、eeism48World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparednes

243、s:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.02004006008000022002020202520302035US$millions045502020202520302035%obesitydeep redamberlight reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 20

244、2020351.8%MEDIUMGLOBAL PREPAREDNESS RANKING54/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20353.6%VERY HIGHADULTS WITH OBESITY 203543%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020352.5%HIGHBahrainPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Heal

245、thcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020137 947 37 2.6%2025174 1,235 42 2.9%2030214 1,638 50 3.3%2035255 2,194 60 3.6%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls H

246、ealthcare Other health expenditure Premature death Absenteeism Presenteeism49World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised f

247、rom RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.00400050006000700080009000020202520302035US$millions3456789020202520302035%obesi

248、tyamberdeep reddeep redlight redlight redANNUAL INCREASE IN ADULT OBESITY 202020355.7%VERY HIGHGLOBAL PREPAREDNESS RANKING=108/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.4%HIGHADULTS WITH OBESITY 203511%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020358.6%VERY HIGHBangladeshPROJECTED ECONOMIC IMPA

249、CT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020193 2,820 313 0.9%2025306 4,485 429 1.0%2030474 6,982 576 1.2%2035703 10,743 750 1.4

250、%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism50World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increas

251、e:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.050030035020202025203

252、02035US$millions045502020202520302035%obesitydeep redlight reddeep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.6%HIGHGLOBAL PREPAREDNESS RANKING=51/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20354.6%VERY HIGHADULTS WITH OBESITY 203539%VERY HIGHANNUAL INCREASE IN C

253、HILD OBESITY 202020354.7%VERY HIGHBarbadosPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202023 159 5 3.5%202527

254、 200 6 3.5%203031 245 6 4.0%203535 305 7 4.6%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism51World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(ri

255、ghts reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.S

256、ee Appendix.0500025003000350040002020202520302035US$millions55402020202520302035%obesitydeep redamberdeep reddeep reddeep greenANNUAL INCREASE IN ADULT OBESITY 202020351.9%MEDIUMGLOBAL PREPAREDNESS RANKING35/183GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20354.2%VERY HIGHADULTS WITH

257、OBESITY 203538%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.5%VERY HIGHBelarusPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact o

258、f BMI 25kg/m2 on GDP2020268 1,853 64 2.9%2025315 2,224 63 3.5%2030375 2,789 71 3.9%2035451 3,546 85 4.2%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism52World Obesity Atlas 2023SOURCES Obesity

259、 data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relativ

260、e preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.0200040006000800040002020202520302035US$millions55402020202520302035%obesitydeep redamberamberdeep reddeep greenANNUAL INCREASE IN ADULT OBESITY 202020351.8%MEDIUMGLOBAL PREPAREDNESS RANKING10/183GOODOVERWEI

261、GHT IMPACT ON NATIONAL GDP 20352.0%VERY HIGHADULTS WITH OBESITY 203533%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020351.2%MEDIUMBelgiumPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of B

262、MI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20203,898 9,829 505 1.9%20254,250 10,973 569 1.9%20304,585 12,228 614 2.0%20354,960 13,690 670 2.0%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature dea

263、th Absenteeism Presenteeism53World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See Referen

264、ces.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.0070809002520302035US$millions54045502020202520302035%obesitydeep redlight reddeep reddeep redlight redANNUAL INCREASE IN ADULT

265、OBESITY 202020352.4%HIGHGLOBAL PREPAREDNESS RANKING115/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20353.6%VERY HIGHADULTS WITH OBESITY 203540%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.0%VERY HIGHBelizePROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)202020

266、35Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20207 41 2 2.5%202510 57 2 2.8%203012 78 2 3.3%203515 108 3 3.6%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Ot

267、her health expenditure Premature death Absenteeism Presenteeism54World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI proj

268、ections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.05003003502020202520302035US$millions0552020202520302035%obesitylight reddeep reddeep redlight reddeep

269、redANNUAL INCREASE IN ADULT OBESITY 202020354.4%VERY HIGHGLOBAL PREPAREDNESS RANKING=165/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.1%HIGHADULTS WITH OBESITY 203524%HIGHANNUAL INCREASE IN CHILD OBESITY 202020357.3%VERY HIGHBeninPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF O

270、VERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202011 133 15 0.9%202516 185 20 0.9%203023 253 26 1.0%203533 343 31 1.1%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m

271、2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism55World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impac

272、t estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.02040608020202520302035US$millions46802224262020202520302035%obesit

273、ylight reddeep reddeep reddeep redlight redANNUAL INCREASE IN ADULT OBESITY 202020355.6%VERY HIGHGLOBAL PREPAREDNESS RANKING113/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20352.5%VERY HIGHADULTS WITH OBESITY 203520%HIGHANNUAL INCREASE IN CHILD OBESITY 202020358.9%VERY HIGHBhutanPROJECTED ECONOMIC IMPA

274、CT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20203 30 2 1.2%20254 49 3 1.7%20307 80 4 2.1%20359 129 5 2.5%PROJECTED TRENDS IN THE PRE

275、VALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism56World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rat

276、e 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.02004006008000022002400260028002020202

277、520302035US$millions540452020202520302035%obesitydeep redlight reddeep reddeep redlight redANNUAL INCREASE IN ADULT OBESITY 202020352.9%HIGHGLOBAL PREPAREDNESS RANKING=124/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20354.3%VERY HIGHADULTS WITH OBESITY 203538%VERY HIGHANNUAL INCREASE IN CHIL

278、D OBESITY 202020354.6%VERY HIGHBoliviaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020174 1,448 37 3.9%202522

279、4 1,818 46 4.0%2030284 2,258 54 4.2%2035353 2,780 64 4.3%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism57World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Coll

280、aboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to

281、 183=worst.See Appendix.020040060080002020202520302035US$millions6802224262830322020202520302035%obesitylight redlight reddeep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.3%HIGHGLOBAL PREPAREDNESS RANKING38/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 203

282、54.1%VERY HIGHADULTS WITH OBESITY 203530%HIGHANNUAL INCREASE IN CHILD OBESITY 202020356.5%VERY HIGHBosnia and HerzegovinaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$mil

283、lionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020118 622 20 3.2%2025138 786 23 3.4%2030161 1,007 27 3.8%2035184 1,297 31 4.1%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism58World O

284、besity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of

285、 all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.005006007008009000202520302035US$millions5540455055602020202520302035%obesitydeep reddeep reddeep reddeep redlight redANNUAL INCREASE IN ADULT OBESITY 202020353.2%V

286、ERY HIGHGLOBAL PREPAREDNESS RANKING111/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20353.3%VERY HIGHADULTS WITH OBESITY 203543%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020357.7%VERY HIGHBotswanaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare i

287、mpact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202060 337 15 2.2%202586 497 20 2.5%2030120 735 25 2.9%2035163 1,083 33 3.3%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Othe

288、r health expenditure Premature death Absenteeism Presenteeism59World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projec

289、tions(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.0000040000500006000070000800002020202520302035US$millions540452020202520302035%obesitydeep redlight redde

290、ep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020352.8%HIGHGLOBAL PREPAREDNESS RANKING67/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20353.0%VERY HIGHADULTS WITH OBESITY 203541%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.4%VERY HIGHBrazilPROJECTED ECONOMIC IMPACT OF OVERWEI

291、GHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202012,426 38,646 1,801 2.1%202514,739 48,392 2,007 2.4%203016,947 60,437 2,249 2.7%203519,234 75,849

292、 2,541 3.0%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism60World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annu

293、al increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.05003003504

294、002020202520302035US$millions540452020202520302035%obesitydeep reddeep reddeep reddeep redpale greenANNUAL INCREASE IN ADULT OBESITY 202020354.2%VERY HIGHGLOBAL PREPAREDNESS RANKING57/183FAIRLY GOODOVERWEIGHT IMPACT ON NATIONAL GDP 20352.2%VERY HIGHADULTS WITH OBESITY 203533%VERY HIGHANNU

295、AL INCREASE IN CHILD OBESITY 202020354.4%VERY HIGHBrunei DarussalamPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on G

296、DP202017 141 14 1.0%202520 197 15 1.3%203023 273 17 1.7%203525 378 18 2.2%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism61World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD

297、 Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesi

298、ty,from 1=best to 183=worst.See Appendix.050002500300035004000450050002020202520302035US$millions540452020202520302035%obesitydeep redamberdeep reddeep reddeep greenANNUAL INCREASE IN ADULT OBESITY 202020351.8%MEDIUMGLOBAL PREPAREDNESS RANKING35/183GOODOVERWEIGHT IMPACT ON NATI

299、ONAL GDP 20355.2%VERY HIGHADULTS WITH OBESITY 203537%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020354.4%VERY HIGHBulgariaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$

300、millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP2020379 3,010 66 4.6%2025441 3,596 79 4.5%2030519 4,233 88 4.8%2035598 4,953 96 5.2%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism62

301、World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ran

302、king of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.05003003504004502020202520302035US$millions02468022242020202520302035%obesityamberdeep reddeep redlight reddeep redANNUAL INCREASE IN ADULT OBESITY 202020355.6%VERY HIG

303、HGLOBAL PREPAREDNESS RANKING178/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.3%HIGHADULTS WITH OBESITY 203516%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020356.8%VERY HIGHBurkina FasoPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact

304、of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202018 157 16 1.0%202529 222 21 1.0%203045 312 27 1.1%203571 439 35 1.3%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health e

305、xpenditure Premature death Absenteeism Presenteeism63World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(righ

306、ts reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.00702020202520302035US$millions02468022242020202520302035%obesityamberdeep reddeep redlight reddeep redANNUAL INCRE

307、ASE IN ADULT OBESITY 202020355.0%VERY HIGHGLOBAL PREPAREDNESS RANKING176/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.6%HIGHADULTS WITH OBESITY 203515%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020358.4%VERY HIGHBurundiPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BM

308、I 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20206 27 3 1.0%20259 37 3 1.1%203013 50 4 1.3%203518 67 4 1.6%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls

309、 Healthcare Other health expenditure Premature death Absenteeism Presenteeism64World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised

310、 from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.007080902020202520302035US$millions05540452020202520302035%obesitydeep reddeep reddeep re

311、ddeep redlight redANNUAL INCREASE IN ADULT OBESITY 202020354.6%VERY HIGHGLOBAL PREPAREDNESS RANKING105/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20352.3%VERY HIGHADULTS WITH OBESITY 203532%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020357.4%VERY HIGHCabo VerdePROJECTED ECONOMIC IMPACT OF OVERWEIGHT

312、(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20205 28 2 1.6%20257 40 2 1.8%20309 58 3 2.0%203512 84 4 2.3%PROJECTED TRENDS IN THE PREVALENCE OF OBESI

313、TY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism65World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.E

314、conomic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.02004006008000520302035US$millions024680222

315、4262020202520302035%obesityamberdeep reddeep reddeep redlight redANNUAL INCREASE IN ADULT OBESITY 202020355.8%VERY HIGHGLOBAL PREPAREDNESS RANKING135/183POOROVERWEIGHT IMPACT ON NATIONAL GDP 20352.2%VERY HIGHADULTS WITH OBESITY 203512%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020358.1%VERY HIGHCambo

316、diaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202045 360 26 1.4%202568 572 34 1.7%2030101 902 46 2.0%2035147

317、 1,416 64 2.2%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism66World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.A

318、nnual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.00500600

319、70080090002020202520302035US$millions055402020202520302035%obesitylight reddeep reddeep redlight reddeep redANNUAL INCREASE IN ADULT OBESITY 202020354.3%VERY HIGHGLOBAL PREPAREDNESS RANKING166/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.6%HIGHADULTS WITH OBESITY 203528%

320、HIGHANNUAL INCREASE IN CHILD OBESITY 202020356.9%VERY HIGHCameroonPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GD

321、P202049 530 40 1.3%202569 700 50 1.4%203098 912 61 1.5%2035136 1,177 72 1.6%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature death Absenteeism Presenteeism67World Obesity Atlas 2023SOURCES Obesity data:RTI projections from N

322、CD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obe

323、sity,from 1=best to 183=worst.See Appendix.00000400005000060000700002020202520302035US$millions5404550552020202520302035%obesitydeep redlight reddeep reddeep reddeep greenANNUAL INCREASE IN ADULT OBESITY 202020352.3%HIGHGLOBAL PREPAREDNESS RANKING26/183GOODOVERWEIGHT IMPACT ON

324、NATIONAL GDP 20352.9%VERY HIGHADULTS WITH OBESITY 203549%VERY HIGHANNUAL INCREASE IN CHILD OBESITY 202020353.1%VERY HIGHCanadaPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,U

325、S$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202015,240 41,480 1,651 2.5%202517,527 48,763 1,907 2.6%203020,095 57,604 2,117 2.7%203523,003 68,586 2,386 2.9%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Premature de

326、ath Absenteeism Presenteeism68World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarised from RTI projections(rights reserved).See Refere

327、nces.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.02040608020202520302035US$millions2468022242020202520302035%obesityamberdeep reddeep reddeep reddeep redANNUAL INCREASE IN ADULT OBESITY 2

328、02020354.0%VERY HIGHGLOBAL PREPAREDNESS RANKING179/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20353.3%VERY HIGHADULTS WITH OBESITY 203516%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020357.7%VERY HIGHCentral African RepublicPROJECTED ECONOMIC IMPACT OF OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BM

329、I 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP20207 57 2 2.5%20259 74 3 2.7%203013 95 3 3.0%203519 121 4 3.3%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girl

330、s Healthcare Other health expenditure Premature death Absenteeism Presenteeism69World Obesity Atlas 2023SOURCES Obesity data:RTI projections from NCD Risk Factor Collaboration(rights reserved).See References.Annual increase:Compound annual growth rate 2020 to 2035.Economic impact estimates:Summarise

331、d from RTI projections(rights reserved).See References.Global Preparedness:A ranking of all countries for their relative preparedness to tackle obesity,from 1=best to 183=worst.See Appendix.020406080002602802020202520302035US$millions02468022242020202520302035%obesit

332、yamberdeep reddeep redlight reddeep redANNUAL INCREASE IN ADULT OBESITY 202020354.6%VERY HIGHGLOBAL PREPAREDNESS RANKING158/183VERY POOROVERWEIGHT IMPACT ON NATIONAL GDP 20351.5%HIGHADULTS WITH OBESITY 203515%MEDIUMANNUAL INCREASE IN CHILD OBESITY 202020357.4%VERY HIGHChadPROJECTED ECONOMIC IMPACT O

333、F OVERWEIGHT(BMI 25kg/m2)IMPACT OF OVERWEIGHT(BMI 25kg/m2)20202035Healthcare impact of BMI 25kg/m2,US$millionTotal economic impact of BMI 25kg/m2,US$millionEstimated GDP US$billionImpact of BMI 25kg/m2 on GDP202010 110 11 1.0%202514 148 12 1.2%203020 199 15 1.4%203527 265 18 1.5%PROJECTED TRENDS IN THE PREVALENCE OF OBESITY(BMI 30kg/m2)Men Women Boys Girls Healthcare Other health expenditure Prema