Abstract
The worldwide increase in obesity and related chronic diseases has largely been driven by global trade liberalization, economic growth and rapid urbanization. These factors continue to fuel dramatic changes in living environments, diets and lifestyles in ways that promote positive energy balance. Nutritional transitions in low-income and middle-income countries are typically characterized by increases in the consumption of animal fat and protein, refined grains, and added sugar. This change is coupled with reductions in physical activity owing to more mechanized and technologically driven lifestyles. Given the high costs of obesity and comorbidities in terms of health-care expenditure and quality of life, prevention strategies are paramount, particularly in low-income and middle-income countries that must manage coexisting infectious diseases and undernutrition in addition to the obesity epidemic. As countries become increasingly urbanized, undernutrition and obesity can exist side by side within the same country, community or household, which is a particular challenge for health systems with limited resources. Owing to the scope and complexity of the obesity epidemic, prevention strategies and policies across multiple levels are needed in order to have a measurable effect. Changes should include high-level global policies from the international community and coordinated efforts by governments, organizations, communities and individuals to positively influence behavioural change.
Key Points
-
Although globalization has resulted in substantial improvements in quality of life and food security, as well as reductions in poverty, unintended consequences of globalization are also driving the obesity epidemic
-
Global trade liberalization and increases in income and urbanization have created obesogenic environments that promote nutritional transitions and reductions in physical activity, resulting in positive energy balance
-
Dietary changes leading to positive energy balance are characterized by increases in the consumption of animal products, refined grains and sugar
-
Dietary changes are driven by the increased availability of low-cost food and drinks, which are often low in nutritional value and high in energy and sugar
-
Strategies to address the global obesity epidemic require sustained, population-wide interventions and policy recommendations designed to improve diet and increase physical activity using a multilevel systems approach
-
Combating obesity requires coordinated efforts from the international community, governments, industry, health-care systems, schools, urban planners, agricultural and service sectors, the media, communities and individuals
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Association of angiotensin-converting enzyme I/D polymorphism and apolipoprotein B with cardiometabolic abnormalities among young adults: a pilot study from Delhi
Egyptian Journal of Medical Human Genetics Open Access 26 August 2023
-
Position statement on nutrition therapy for overweight and obesity: nutrition department of the Brazilian association for the study of obesity and metabolic syndrome (ABESO—2022)
Diabetology & Metabolic Syndrome Open Access 09 June 2023
-
Association between the insulin resistance marker TyG index and subsequent adverse long-term cardiovascular events in young and middle-aged US adults based on obesity status
Lipids in Health and Disease Open Access 18 May 2023
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout


References
Finucane, M. M. et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet 377, 557–567 (2011).
Misra, A. & Khurana, L. Obesity and the metabolic syndrome in developing countries. J. Clin. Endocrinol. Metab. 93, S9–S30 (2008).
Danaei, G. et al. The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 6, e1000058 (2009).
WHO. Global health risks: mortality and burden of disease attributable to selected major risks. [online], (2009).
Prospective Studies Collaboration et al. Body-mass index and cause-specific mortality in 900000 adults: collaborative analyses of 57 prospective studies. Lancet 373, 1083–1096 (2009).
Hawkes, C. Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases. Global Health 2, 4 (2006).
Kearney, J. Food consumption trends and drivers. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 2793–2807 (2010).
Popkin, B. M. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am. J. Clin. Nutr. 84, 289–298 (2006).
Fuster, V. & Kelly, B. B. Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health (eds Valentín Fuster & Bridget B. Kelly) (The National Academies Press, 2010).
Huang, E. S, Basu, A., O'Grady, M. & Capretta, J. C. Projecting the future diabetes population size and related costs for the U.S. Diabetes Care 32, 2225–2229 (2009).
Finkelstein, E. A, Trogdon, J. G., Cohen, J. W. & Dietz, W. Annual medical spending attributable to obesity: payer- and service-specific estimates. Health Aff. (Millwood) 28, w822–w831 (2009).
Kelly, T., Yang, W., Chen, C. S., Reynolds, K. & He, J. Global burden of obesity in 2005 and projections to 2030. Int. J. Obes. (Lond.) 32, 1431–1437 (2008).
The World Bank. How we Classify Countries [online], (2012).
Caballero, B. A nutrition paradox—underweight and obesity in developing countries. N. Engl. J. Med. 352, 1514–1516 (2005).
Beaglehole, R. et al. Priority actions for the non-communicable disease crisis. Lancet 377, 1438–1447 (2011).
Abegunde, D. O., Mathers, C. D., Adam, T., Ortegon, M. & Strong, K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet 370, 1929–1938 (2007).
Flegal, K. M., Carroll, M. D., Kit, B. K. & Ogden, C. L. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA 307, 491–497 (2012).
James, W. P. WHO recognition of the global obesity epidemic. Int. J. Obes. (Lond.) 32 (Suppl. 7), S120–S126 (2008).
WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363, 157–163 (2004).
Popkin, B. M. & Gordon-Larsen, P. The nutrition transition: worldwide obesity dynamics and their determinants. Int. J. Obes. Relat. Metab. Disord. 28 (Suppl. 3), S2–S9 (2004).
Mendez, M. A., Monteiro, C. A. & Popkin, B. M. Overweight exceeds underweight among women in most developing countries. Am. J. Clin. Nutr. 81, 714–721 (2005).
WHO. Global strategy on diet, physical activity, and health: childhood overweight and obesity. [online], (2010).
Poskitt, E. M. Countries in transition: underweight to obesity non-stop? Ann. Trop. Paediatr. 29, 1–11 (2009).
Singh, A. S., Mulder, C., Twisk, J. W., van Mechelen, W. & Chinapaw, M. J. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes. Rev. 9, 474–488 (2008).
Popkin, B. M., Conde, W., Hou, N. & Monteiro, C. Is there a lag globally in overweight trends for children compared with adults? Obesity (Silver Spring) 14, 1846–1853 (2006).
de Onis, M., Blossner, M. & Borghi, E. Global prevalence and trends of overweight and obesity among preschool children. Am. J. Clin. Nutr. 92, 1257–1264 (2010).
Harris, J., Kaufman, P., Martinez, S. & Price, C. The U. S. Food Marketing System, 2002 (agricultural economic report no. 811). (U. S. Department of Agriculture Economic Research Service, Washington D. C., 2002).
Stuckler, D., McKee, M., Ebrahim, S. & Basu, S. Manufacturing epidemics: the role of global producers in increased consumption of unhealthy commodities including processed foods, alcohol, and tobacco. PLoS Med. http://www.dx.doi.org/10.1371/journal.pmed.1001235.
Weems, S. & Weber, J. A. Farm bill offers opportunity to improve nutrition of all Americans. J. Am. Diet. Assoc. 107, 736–738 (2007).
Cutler, D., Glaeser, E. & Shapiro J. Why have Americans become more obese? J. Econ. Perspect. 17, 93–118 (2003).
Rogoff, K. Coronary Capitalism. Project Syndicate [online], (2012).
Ezzati, M. et al. Rethinking the “diseases of affluence” paradigm: global patterns of nutritional risks in relation to economic development. PLoS Med. 2, e133 (2005).
Subramanian, S. V., Perkins, J. M., Özaltin, E. & Davey Smith, G. Weight of nations: a socioeconomic analysis of women in low- to middle-income countries. Am. J. Clin. Nutr. 93, 413–421 (2010).
Ogden, C. L., Lamb, M. M., Carroll, M. D. & Flegal, K. M. Obesity and socioeconomic status in adults: United States, 2005–2008. NCHS Data Brief 50, 1–8 (2010).
Monteiro, C. A., Moura, E. C., Conde, W. L. & Popkin, B. M. Socioeconomic status and obesity in adult populations of developing countries: a review. Bull. World Health Organ. 82, 940–946 (2004).
Hu, F. B. Obesity Epidemiology (Oxford University Press, New York, 2008).
United Nations Population Fund. Urbanization's Second Wave: A Difference of Scale. State of the World Population 2007 [online], (2007).
United Nations Department of Economic and Social Affairs/Population Division. World Urbanization Prospects: The 2009 Revision. (United Nations, New York, 2009).
Wang, Y., Mi, J., Shan, X. Y., Wang, Q. J. & Ge, K. Y. Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int. J. Obes. (Lond.) 31, 177–188 (2007).
Popkin, B. M. The World is Fat: The Fads, Trends, Policies, and Products That Are Fattening the Human Race (Penguin Group, New York, 2009).
Pate, R. R. et al. Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 273, 402–407 (1995).
U. S. Department of Health and Human Services. 2008 Physical Activity guidelines for Americans. Physical Activity guidelines for Americans [online], (2008).
WHO. Global Recommendations on Physical Activity for Health (WHO, Geneva, 2010).
Brownson, R. C., Boehmer, T. K. & Luke, D. A. Declining rates of physical activity in the United States: what are the contributors? Annu. Rev. Public Health 26, 421–443 (2005).
Muntner, P. et al. Prevalence of physical activity among Chinese adults: results from the International Collaborative Study of Cardiovascular Disease in Asia. Am. J. Public Health 95, 1631–1636 (2005).
Du, S., Lu, B., Zhai, F. & Popkin, B. M. A new stage of the nutrition transition in China. Public Health Nutr. 5, 169–174 (2002).
Choi, Y. J. et al. Rapidly increasing diabetes-related mortality with socio-environmental changes in South Korea during the last two decades. Diabetes Res. Clin. Pract. 74, 295–300 (2006).
Singh, A. Review of urban transportation in India. Journal of Public Transportation 8, 79–97 (2005).
Kjellström T., Håkansta, C. & Hogstedt, C. Globalisation and public health-overview and a Swedish perspective. Scand. J. Public Health Suppl. 70, 2–68 (2007).
Siegel, K., Narayan, K. M. & Kinra, S. Finding a policy solution to India's diabetes epidemic. Health Aff. (Millwood) 27, 1077–1090 (2008).
Patel, S. R. & Hu, F. B. Short sleep duration and weight gain: a systematic review. Obesity (Silver Spring) 16, 643–653 (2008).
Berkey, C. S., Rockett, H. R. & Colditz, G. A. Weight gain in older adolescent females: the internet, sleep, coffee, and alcohol. J. Pediatr. 153, 635–639 (2008).
Bénéfice, E., Garnier, D. & Ndiaye, G. Nutritional status, growth and sleep habits among Senegalese adolescent girls. Eur. J. Clin. Nutr. 14, 762–768 (2004).
Ben Slama, F. et al. Obesity and life style in a population of male school children aged 6 to 10 years in Ariana (Tunisia) [French]. Tunis. Med. 80, 542–547 (2002).
Giugliano, R. & Carneiro, E. C. Factors associated with obesity in school children [Portugese]. J. Pediatr. (Rio J.) 80, 17–22 (2004).
Chen, M. Y., Wang, E. K. & Jeng, Y. J. Adequate sleep among adolescents is positively associated with health status and health-related behaviors. BMC Public Health 6, 59 (2006).
Yum! Brands. Defining Global Company that Feeds the World [online], (2012).
Pan, A., Malik, V. S. & Hu, F. B. Exporting diabetes mellitus to Asia: the impact of Western-style fast food. Circulation 126, 163–165 (2012).
Pereira, M. A. et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365, 36–42 (2005).
Duffey, K. J., Gordon-Larsen, P., Steffen, L. M., Jacobs, D. R. Jr & Popkin, B. M. Regular consumption from fast food establishments relative to other restaurants is differentially associated with metabolic outcomes in young adults. J. Nutr. 139, 2113–2118 (2009).
Rosenheck, R. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Obes. Rev. 9, 535–547 (2008).
Odegaard, A. O., Koh, W. P., Yuan, J. M., Gross, M. D. & Pereira, M. A. Western-style fast food intake and cardiometabolic risk in an eastern country. Circulation 126, 182–188 (2012).
Reardon, T., Timmer, C., Barrett, C. & Berdegue, J. The rise of super-markets in Africa, Asia and Latin America. Am. J. Agric. Econ. 85, 1140–1146 (2003).
Wagner, K. H. & Brath, H. A global view on the development of non communicable diseases. Prev. Med. 54, S38–S41 (2012).
Delgado, C. L. Rising consumption of meat and milk in developing countries has created a new food revolution. J. Nutr. 133 (Suppl. 2), 3907S–3910S (2003).
Mozaffarian, D., Hao, T., Rimm, E. B., Willett, W. C. & Hu, F. B. Changes in diet and lifestyle and long-term weight gain in women and men. N. Engl. J. Med. 364, 2392–2404 (2011).
Pan, A. et al. Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. Am. J. Clin. Nutr. 94, 1088–1096 (2011).
Bernstein, A. M. et al. Major dietary protein sources and risk of coronary heart disease in women. Circulation 122, 876–883 (2010).
Chan, D. S. et al. Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 6, e20456 (2011).
Pan, A. et al. Red meat consumption and mortality: results from 2 prospective cohort studies. Arch. Intern. Med. 172, 555–563 (2012).
Mozaffarian, D., Micha, R. & Wallace, S. Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med. 7, e1000252 (2010).
Mente, A., de Koning, L., Shannon, H. S. & Anand, S. S. A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Arch. Intern. Med. 169, 659–669 (2009).
Appel, L. J. et al. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA 294, 2455–2464 (2005).
Hu, F. B., Liu, Y. & Willett, W. C. Preventing chronic diseases by promoting healthy diet and lifestyle: public policy implications for China. Obes. Rev. 12, 552–559 (2011).
Popkin, B. M. The nutrition transition and obesity in the developing world. J. Nutr. 131, 871S–873S (2001).
Mozaffarian, D., Katan, M. B., Ascherio, A., Stampfer, M. J. & Willett, W. C. Trans fatty acids and cardiovascular disease. N. Engl. J. Med. 354, 1601–1613 (2006).
Gross, L. S., Li, L., Ford, E. S. & Liu, S. Increased consumption of refined carbohydrates and the epidemic of type 2 diabetes in the United States: an ecologic assessment. Am. J. Clin. Nutr. 79, 774–779 (2004).
Radhika, G., Van Dam, R. M., Sudha, V., Ganesan, A. & Mohan, V. Refined grain consumption and the metabolic syndrome in urban Asian Indians (Chennai Urban Rural Epidemiology Study 57). Metabolism 58, 675–681 (2009).
Wang, L. Report of China Nationwide Nutrition and Health Survey 2002, Summary Report (People's Medical Publishing House, Beijing, 2005).
Hu, E. A., Pan, A., Malik, V. & Sun, Q. White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. BMJ http://dx.doi.org/10.1136/bmj.e1454.
Sun, Q. et al. White rice, brown rice, and risk of type 2 diabetes in US men and women. Arch. Intern. Med. 170, 961–969 (2010).
Villegas, R. et al. Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women. Arch. Intern. Med. 167, 2310–2316 (2007).
Malik, V. S., Popkin, B. M., Bray, G. A., Després, J. P. & Hu, F. B. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 121, 1356–1364 (2010).
Malik, V. S., Willett, W. C. & Hu, F. B. Sugar-sweetened beverages and BMI in children and adolescents: reanalyses of a meta-analysis. Am. J. Clin. Nutr. 89, 438–489 (2009).
Malik, V. S. et al. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care 33, 2477–2483 (2010).
Fung, T. T. et al. Sweetened beverage consumption and risk of coronary heart disease in women. Am. J. Clin. Nutr. 89, 1037–1042 (2009).
de Koning, L. et al. Sweetened beverage consumption, incident coronary heart disease and Biomarkers of Risk in Men. Circulation 125, 1735–1741 (2012).
Popkin, B. M. Patterns of beverage use across the lifecycle. Physiol. Behav. 100, 4–9 (2010).
Welsh, J. A., Sharma, A. J., Grellinger, L. & Vos, M. B. Consumption of added sugars is decreasing in the United States. Am. J. Clin. Nutr. 94, 726–734 (2011).
Johnson, R. K. et al. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation 120, 1011–1020 (2009).
Ko, G. T. et al. Risk associations of obesity with sugar-sweetened beverages and lifestyle factors in Chinese: the 'Better Health for Better Hong Kong' health promotion campaign. Eur. J. Clin. Nutr. 64, 1386–1392 (2010).
Kleiman, S., Ng, S. W. & Popkin, B. Drinking to our health: can beverage companies cut calories while maintaining profits? Obes. Rev. 13, 258–274 (2012).
Taylor, F. C., Satja, A., Khurana, S., Singh, G. & Shah E. Pepsi® and Coca Cola® in Delhi, India: availability, price and sales. Public Health Nutr. 14, 653–660 (2011).
Tate, D. F. et al. Replacing caloric beverages with water or diet beverages for weight loss in adults: main results of the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial. Am. J. Clin. Nutr. 95, 555–563 (2012).
UN General Assembly. Draft political declaration of the high-level meeting on the Prevention and Control of Non-communicable diseases [online], (2011).
Beaglehole, R., Bonita, R., Alleyne, G. & Horton, R. NCDs: celebrating success, moving forward. Lancet 378, 1283–1284 (2011).
WHO. 2008–2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases (WHO, Geneva, 2008).
WHO. First Global Ministerial Conference on Healthy Lifestyles and Noncommunicable Disease Control (WHO, Geneva 2011).
Nishida, C., Uauy, R., Kumanyika, S. & Shetty, P. The joint WHO/FAO expert consultation on diet, nutrition and the prevention of chronic diseases: process, product and policy implications. Public Health Nutr. 7, 245–250 (2004).
WHO/Europe. European Charter on Counteracting Obesity (WHO Europe, Copenhagen, 2006).
Friel, S. & Marmot, M. G. Action on the social determinants of health and health inequities goes global. Annu. Rev. Public Health 32, 225–236 (2011).
WHO. World Conference on Social Determinants of Health [online], (2012).
WHO. Population-based Prevention Strategies for Childhood Obesity: Report of a WHO Forum and Technical Meeting (WHO, Geneva, 2009).
Let's Move Campaign. Let's Move: America's Move to Raise a Healthier Generation of Kids [online], (2012).
Government Office of Science. Foresight[online], (2012).
Department of Health. Healthy weight, healthy lives: a cross-government strategy for England [online], (2008).
James, W. P. The epidemiology of obesity: the size of the problem. J. Intern. Med. 263, 336–352 (2008).
Barquera, S. et al. Caloric beverage consumption patterns in Mexican children. Nutr. J. 9, 47 (2010).
Popkin, B. M., Adair, L. S. & Ng, S. W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 70, 3–21 (2012).
Benincá, C., Zanoelo, E. F., de Lima Luz, L. F. Jr & Spricigo, C. B. Trans fatty acids in margarines marketed in Brazil: content, labeling regulations and consumer information. Eur. J. Lipid Sci. Technol. 111, 451–458 (2009).
Skeaf, C. M. Feasibility of recommending certain replacement or alternative fats. Eur. J. Clin. Nutr. 63, S34–S49 (2009).
Coombes, R. Trans fats: chasing a global ban. BMJ 343, d5567 (2011).
Ratnayake, W. M. et al. Trans fatty acids: current contents in Canadian foods and estimated intake levels for the Canadian population. J. AOAC Int. 92, 1258–1276 (2009).
Brownell, K. D. et al. The public health and economic benefits of taxing sugar-sweetened beverages. N. Engl. J. Med. 361, 1599–1605 (2009).
Ng, S. W., Ni Mhurchu, C., Jebb, S. A. & Popkin, B. M. Patterns and trends of beverage consumption among children and adults in Great Britain, 1986–2009. Br. J. Nutr. http://dx.doi.org/10.1017/S0007114511006465.
Claro, R. M., Levy, R. B., Popkin, B. M. & Monteiro, C. A. Sugar-sweetened beverage taxes in Brazil. Am. J. Public Health 102, 178–183 (2012).
Sturm, R., Powell, L. M., Chriqui, J. F. & Chaloupka, F. J. Soda taxes, soft drink consumption, and children's body mass index. Health Aff. (Millwood) 29, 1052–1058 (2010).
Organisation for Economic Co-operation and Development (OECD). Obesity Update 2012 [online], (2012).
Guo, X., Popkin, B. M., Mroz, T. A. & Zhai, F. Food price policy can favorably alter macronutrient intake in China. J. Nutr. 129, 994–1001 (1999).
Zenk, S. N. et al. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn. Dis. 16, 275–280 (2006).
Brownell, K. D. & Ludwig, D. S. The Supplemental Nutrition Assistance Program, soda, and USDA policy: who benefits? JAMA 306, 1370–1371 (2011).
Zhai, F. et al. What is China doing in policy-making to push back the negative aspects of the nutrition transition? Public Health Nutr. 5, 269–273 (2002).
The Healthy Weight Commitment Foundation. The Healthy Weight Commitment Foundation [online], (2012).
Department of Health. Calories to be capped and cut. Department of Health [online], (2012).
Pan, X. R. et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 20, 537–544 (1997).
Tuomilehto, J. et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N. Engl. J. Med. 344, 1343–1350 (2001).
Knowler, W. C. et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N. Engl. J. Med. 346, 393–403 (2002).
Ramachandran, A. et al. The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia 49, 289–297 (2006).
Li, G. et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet 371, 1783–1789 (2008).
Fang, X. H. et al. Prevention of stroke in urban China: a community-based intervention trial. Stroke 30, 495–501 (1999).
Pekka, P., Pirjo, P. & Ulla, U. Influencing public nutrition for non-communicable disease prevention: from community intervention to national programme—experiences from Finland. Public Health Nutr. 5, 245–251 (2002).
Puska, P., Vartiainen, E., Laatikainen, T., Jousilahti, P. & Paavola, M. (Eds) The North Karelia Project: From North Karelia to National Action (Helsinki University Printing House, Helsinki, 2009).
The EPODE Programme. Epode European Network [online], (2012).
Romon, M. et al. Downward trends in the prevalence of childhood overweight in the setting of 12-year school- and community-based programmes. Public Health Nutr. 12, 1735–1742 (2009).
Borys, J.-M. et al. Preventing Childhood Obesity 42–44 (Lavoisier, Cachan, 2011).
Economos, C. D. et al. A community intervention reduces BMI z-score in children: Shape Up Somerville first year results. Obesity (Silver Spring) 15, 1325–1336 (2007).
Gortmaker, S. L. et al. Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. Arch. Pediatr. Adolesc. Med. 153, 409–18 (1999).
Centers for Disease Control and Prevention. Obesity in K-8 students—New York city, 2006–07 to 2010–11 school years. MMWR Morb. Mortal. Wkly Rep. 60, 1673–1678 (2011).
Kmietowicz, Z. EU law forces UK ministers to rethink food labelling. BMJ 344, e3422 (2012).
Roberto, C. A., Larsen, P. D., Agnew, H., Baik, J. & Brownell, K. D. Evaluating the impact of menu labeling on food choices and intake. Am. J. Public Health 100, 312–318 (2010).
Institute of Medicine. School Meals: Building Blocks for Healthy Children (National Academies Press, Washington D. C., 2009).
Rivera, J. A. et al. Beverage consumption for a healthy life: recommendations for the Mexican population [Spanish]. Salud Pública Mex. 50, 173–195 (2008).
WHO/Europe. Food and Nutrition Policy for Schools: a Tool for the Development of School Nutrition Programmes in the WHO European Region (WHO Europe, Copenhagen, 2006).
Hawkes, C. Regulating and litigating in the public interest: regulating food marketing to young people worldwide: trends and policy drivers. Am. J. Public Health 97, 1962–1973 (2007).
WHO. Global Strategy on Diet, Physical Activity and Health (WHO, Geneva, 2004).
Pucher, J., Buehler, R., Bassett, D. R. & Dannenberg, A. L. Walking and cycling to health: a comparative analysis of city, state, and international data. Am. J. Public Health 100, 1986–1992 (2010).
New York City Department of Mental Health and Hygiene. Physical activity and nutrition [online].
Gortmaker, S. L. et al. Changing the future of obesity: science, policy, and action. Lancet 378, 838–347 (2011).
Centers for Disease Control and Prevention (CDC). Ten great public health achievements —United States, 1900–1999. MMWR Morb. Mortal. Wkly Rep. 48, 241–243 (1999).
Mello, M. M., Studdert, D. M. & Brennan, T. A. Obesity—the new frontier of public health law. N. Engl. J. Med. 354, 2601–2610 (2006).
Author information
Authors and Affiliations
Contributions
V. S. Malik researched the data for the article and wrote the manuscript. W. C. Willett and F. B. Hu both reviewed and edited the manuscript. All authors made substantial contributions to discussion of article content.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Rights and permissions
About this article
Cite this article
Malik, V., Willett, W. & Hu, F. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol 9, 13–27 (2013). https://doi.org/10.1038/nrendo.2012.199
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrendo.2012.199
This article is cited by
-
Association between the insulin resistance marker TyG index and subsequent adverse long-term cardiovascular events in young and middle-aged US adults based on obesity status
Lipids in Health and Disease (2023)
-
Association of angiotensin-converting enzyme I/D polymorphism and apolipoprotein B with cardiometabolic abnormalities among young adults: a pilot study from Delhi
Egyptian Journal of Medical Human Genetics (2023)
-
Solutions to the double burden of malnutrition also generate health and environmental benefits
Nature Food (2023)
-
Position statement on nutrition therapy for overweight and obesity: nutrition department of the Brazilian association for the study of obesity and metabolic syndrome (ABESO—2022)
Diabetology & Metabolic Syndrome (2023)
-
Obesity Stigma: Causes, Consequences, and Potential Solutions
Current Obesity Reports (2023)