HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Wang, Y. Articles by Popkin, B. M Search for Related Content PubMed PubMed Citation Articles by Wang, Y. Articles by Popkin, B. M Agricola Articles by Wang, Y. Articles by Popkin, B. M

Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia^1,2,3

¹ From the Carolina Population Center, School of Public Health, University of North Carolina, Chapel Hill (YW and BMP), and the Department of Nutrition, School of Public Health, University of São Paulo, Brazil (CM).

² Supported by grants R01-HD30880, R01-HD38700, and D43-TW/HD00633 from the NIH.

³ Reprints not available. Address correspondence to BM Popkin, Carolina Population Center, University of North Carolina, University Square, CB no. 8120, 123 West Franklin Street, Chapel Hill, NC 27516-3997. E-mail: popkin{at}unc.edu.

	ABSTRACT

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Background: Few studies have used the same references across countries to examine the trends of over- and underweight in older children and adolescents.

Objective: Using international references, we examined the trends of overweight and underweight in young persons aged 6–18 y from 4 countries.

Design: Nationally representative data from Brazil (1975 and 1997), Russia (1992 and 1998), and the United States (1971–1974 and 1988–1994) and nationwide survey data from China (1991 and 1997) were used. To define overweight, we used the sex- and age-specific body mass index cutoffs recommended by the International Obesity Task Force. The sex- and age-specific body mass index fifth percentile from the first US National Health and Nutrition Examination Survey was used to define underweight.

Results: The prevalence of overweight increased during the study periods in Brazil (from 4.1 to 13.9), China (from 6.4 to 7.7), and the United States (from 15.4 to 25.6); underweight decreased in Brazil (from 14.8 to 8.6), China (from 14.5 to 13.1), and the United States (from 5.1 to 3.3). In Russia, overweight decreased (from 15.6 to 9.0) and underweight increased (from 6.9 to 8.1). The annual rates of increase in the prevalence of overweight were 0.5% (Brazil), 0.2% (China), -1.1% (Russia), and 0.6% (United States).

Conclusions: The burden of nutritional problems is shifting from energy imbalance deficiency to excess among older children and adolescents in Brazil and China. The variations across countries may relate to changes and differences in key environmental factors.

Key Words: Obesity • underweight • children • adolescents • United States • Brazil • China • Russia

	INTRODUCTION

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Over the past century, most nutrition research and policy concerning the developing world focused on poverty and undernutrition. Now there is growing evidence of a major shift toward overweight and obesity in these societies. Many studies have documented the increases in overweight among adults (1,2), and most recently 2 comprehensive studies examined obesity in preschool children from developing countries (3,4), but few efforts have been made to address this issue among older children and adolescents worldwide. Several reports discussed the rapid increase in childhood obesity in higher-income countries (1,5–7). In contrast, no large-scale representative samples have been studied in transitional nations, but a series of smaller, nonrepresentative studies showed a rapid increase in obesity among children and adolescents (1,8). An added complexity was the lack of consistent references for measuring childhood and adolescent obesity before acceptance of the use of body mass index [BMI; weight (kg)/height (m)²] and then the development of an international reference (9–14). Understanding the trends in childhood obesity is important because obesity in childhood has many adverse effects on health in both childhood and adulthood (1,10,15). Of equal importance is tracking childhood obesity into adulthood (16).

We attempted to fill a gap by exploring the trends in the shift from underweight to overweight among older children (aged 6–9 y) and adolescents (aged 10–18 y) by using a proposed new international reference (11) and nationally representative survey data from Brazil, Russia, and the United States and nationwide survey data from China collected over the past 2–3 decades. These 4 countries from different continents include developing and industrialized countries. Their total populations account for approximately one-third of the global population (17). These countries experienced different socioeconomic development processes and social environmental changes during the past 2 decades (18) that provided us a great opportunity to understand the range of shifts in childhood nutritional status being experienced by large segments of the world.

	SUBJECTS AND METHODS

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Data and study populations
Brazil
The data came from 2 random nationally representative samples undertaken by the Brazilian agency in charge of national statistics in 1974–1975 and 1996–1997. Similar sampling procedures and data collection processes were used in both surveys (19). The 1974 survey covered the whole country; the 1997 survey was restricted to the northeastern and southeastern regions, where more than two-thirds of the Brazilian population is concentrated. To allow for proper comparisons, we included only children and adolescents in these 2 regions. Trained teams used calibrated portable scales to measure weight while the subjects were wearing lightweight clothing and no shoes. Height was measured with metal tapes in barefooted subjects with their heads held in the Frankfort plane.

China
We used data from the longitudinal China Health and Nutrition Surveys conducted in 1991 and 1997. These surveys covered 8 provinces that vary substantially in geography, economic development, and health indicators and provide a broad-based indication of the trends China is facing. Although these surveys were not nationally representative, their previous findings regarding the patterns and trends in diet and body composition were almost identical with those from national surveys and the China National Bureau of Statistics (20–22). Anthropometric measurements were carried out by well-trained health workers who followed a reference protocol (23). Weight was measured to the nearest 0.10 kg with a balance-beam scale while the subjects were wearing lightweight clothing. Height was measured to the nearest 0.10 cm with a portable stadiometer in barefooted subjects.

Russia
The Russian Longitudinal Monitoring Survey was the first nationally representative household survey in the Russian Federation. All members of >6400 households from all regions of Russia were surveyed 8 times in 1992–1998. The 1992 (round 1) and 1998 (round 8) data were used for the present study. Details of this survey were described previously (24). Weight and height measurements followed a protocol similar to that of the US National Health and Nutrition Examination Surveys (NHANES).

United States
NHANES I (1971–1974) and NHANES III (1988–1994) were cross-sectional representative samples of the US civilian noninstitutionalized population. Both surveys used standardized protocols for all interviews and examinations. Data on weight and height were collected for each individual in a fully equipped mobile examination center through direct physical examinations. Detailed descriptions of the surveys were published previously (25).

Measures
The main variables we studied were the subjects' weight, height, age, sex, residence, and socioeconomic status (SES). Body composition was estimated by using BMI. Among the key reasons for excluding preschoolers from the present study were the exclusion of children 2 y of age from the International Obesity Task Force (IOTF) reference (11) and the difficulty of accurately measuring preschooler overweight status, because it appears that adiposity rebound may occur in different ways in each population. In addition, 2 recently published comprehensive studies focused on preschool children (3,4), and we were trying to provide insights into school-age children.

Definition of overweight
Until the past decade no widely accepted BMI-based reference existed for childhood and adolescent underweight or overweight or obesity. An interim reference (sex- and age-specific 85th percentiles) was initially developed from the US NHANES I data to define adolescent overweight with what we termed the WHO-NCHS (World Health Organization–National Center for Health Statistics) reference (12,13). A WHO expert committee recommended these BMI 85th percentiles for international use to classify adolescent overweight, but they recommended use of a weight-for-height z score (ie, a z score of 2, which corresponds to the 97.7th percentile) for children aged <10 y (13). Recently, the Childhood Obesity Working Group of the IOTF proposed a new international reference, age- and sex-specific BMI cutoffs, to define childhood and adolescent obesity (11,14). Previous research by one of the authors (YW) showed that, in general, the WHO-NCHS 85th BMI percentiles and the IOTF reference produced similar estimates of the overall prevalence of overweight, although there were considerable differences between the 2 references for some age groups (26,27).

We chose to use the IOTF reference because it has several advantages for international use. First, it was developed based on data from many nations, including Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States. Second, unlike the WHO reference, BMI is used for both children and adolescents. In addition, the BMI cutoffs are linked to adult cutoffs for overweight and obesity, which are good indicators of risks for adverse health outcomes (1,13). They are achieved from sex-specific curves that pass through a BMI of 25 and 30 by age 18 y for overweight and obesity, respectively. However, concerns were recently raised about using the IOTF reference internationally, especially in developing countries (26,28). There is a great variation in the prevalence of overweight in the countries that made up the IOTF reference population. Development of BMI cutoffs by averaging across such a heterogeneous mix of surveys may need to be further justified. In addition, further research is needed to study the health consequences for children with values greater than these cutoffs and to test whether ethnic differences should be considered. Nevertheless, we felt that despite its limitations, the IOTF reference is better than other existing references or approaches for making cross-national comparisons. We chose to examine the combined prevalence of overweight and obesity because the prevalence of obesity was very low in China and Russia and in the Brazil 1974 survey.

Definition of underweight
We used the BMI fifth percentiles developed by Must et al (12) on the basis of the US NHANES I data for all subjects aged 6–18 y. These BMI cutoffs have been widely used to define childhood and adolescent underweight, and they were also recommended for international use for adolescents aged 10–19 y by a WHO expert committee (13).

Age, residence, and socioeconomic status
Subjects were separated into 2 age groups: children (6–9 y) and adolescents (10–18 y). Urban or rural residence was determined according to standards that each country developed and that were the only measures available. As a result, the definition and meanings of urban and rural residence may vary across countries. Tertiles of per capita family income were used to indicate low, medium, and high SES.

Statistical analysis
First, we examined the prevalence of over- and underweight in each country in each year by age group, sex, urban or rural residence, and SES. Then we calculated the average annual percentage increase in prevalence in each country during the periods covered by the surveys. Sample weights were used to produce population-representative estimates for Brazil, Russia, and the United States but not for China, where sample weights were not available. Chi-square tests were conducted to test the differences in prevalence between surveys within each country. SEMs for annual rates of change in prevalence were calculated with the following equation:

(1)

where p1 and p2 are the prevalence of overweight (or underweight) in surveys 1 and 2, respectively, and n is the number of years between the 2 surveys in each country. For practical reasons (eg, sample weights) and to be consistent, we assumed that the covariance between p1 and p2 was 0. This assumption was well justified for the data from Brazil, Russia, and the United States, because the data were from independent cross-sectional surveys. In the data from China, there was only a small overlap in the samples we studied between the 2 surveys. To test for the statistical significance of the differences in annual rates of change, we calculated 95% CIs. Data management and data analysis were performed by using SAS (version 6.12; SAS Institute, Cary, NC) and STATA (version 6.0; Stata Co, College Station, TX). The "svy" commands in STATA were used to account for sampling designs. A P value < 0.05 was consider significant.

	RESULTS

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
Changes in the prevalence of overweight
The prevalence of overweight increased in 3 of the 4 countries between the survey periods (Table 1), tripling in Brazil, almost doubling in the United States, and increasing by one-fifth in China. In contrast, the prevalence of overweight in Russia decreased from 15.6% to 9.0% during a period of tremendous economic stress and a large reduction in the energy density of the typical diet (18,24,29,30). All the changes were significant except for the increase among Chinese children, although the increase among Chinese adolescents was significant.

View larger version (23K): [in this window] [in a new window]   FIGURE 1. Relation between per capita household income and the prevalence of overweight. Income tertiles were used for each country to indicate low, medium, and high levels. For the first () and second () surveys, respectively, n = 56295 and 4875 for Brazil, 3014 and 2688 for China, 6883 and 2152 for Russia, and 4472 and 6108 for the United States. References for the prevalence of overweight are from Cole et al (11).

Shift from an under- to an overnutrition problem in Brazil and China
As shown in Table 1, we observed a clear shift from an under- to an overnutrition problem in Brazil over the past 2 decades and a moderate shift in China over a 6-y period in the 1990s. The shifts were more dramatic in urban areas than in rural areas in both countries.

Average annual changes in the prevalence of over- and underweight
To further examine the magnitude of change considering the length of the interval between surveys, we calculated the annual change in the percentage of overweight and underweight subjects in each country (Table 2). Although the rates of change varied during different periods in each country, annual rates provide an easier way to make comparisons across countries. The annual increase in the prevalence of overweight was the highest in the United States, followed by Brazil and China. In contrast, the prevalence of overweight in Russia decreased >1%/y during 1992–1998 and much more quickly in children than in adolescents.

The annual reduction in the prevalence of underweight was greatest in Brazil, followed by that in China and the United States. In Brazil, males enjoyed a greater reduction than did females. In the Chinese sample, children aged 6–9 y, boys, and urban residents experienced greater reductions than their older, female, and rural counterparts, although the differences were not significant. Russia had an annual increase in the prevalence of underweight, but there was a remarkable sex difference: although the prevalence of underweight increased among females, it decreased among males.

	DISCUSSION

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 
This study presents unique comparative information on trends in childhood and adolescent underweight and overweight status from 4 countries representing approximately one-third of the global population (17). An important aspect of our study is that we used the IOTF reference, an international reference developed from data from multiple nations worldwide (11), to define childhood and adolescent overweight. Overall, we found a notable shift away from undernutrition toward overnutrition in all countries except Russia and a remarkably similar average annual increase in the prevalence of overweight in Brazil and the United States. The patterns of change in over- and underweight vary across countries and differ by age group, sex, rural or urban residence, and SES within countries. The dramatic shifts in the urban areas of Brazil and China may have been the result of greater improvements in the diets of these populations and to a greater reduction in physical activities during the survey periods. Differences in body image and access to energy-dense diets across different SES groups between developing countries and industrialized countries may help to explain the different shift patterns across SES groups that we observed between Brazil and the United States.

The finding that only the United States has a far greater proportion of adolescent than childhood overweight is striking. It is possible that this relates partly to our use of the IOTF reference (26,27), but these differences may be far too great to be explained by this reference. Differences in sexual maturation patterns between the reference and study populations are one issue worthy of further consideration (13,26,31).

Note that although urban-rural and sex differences in China were not significant, as epidemiologists we believe that these patterns and their underlying causes should be examined in future studies. These differences may be related to unbalanced economic development between rural and urban areas, China's one-child policy, and the society's tradition of son preference, particularly in rural areas. In general, urban residents have better living standards and less physical activity than do their rural counterparts (20–22). Under the one-child policy, rural parents whose first child is a daughter are allowed to have a second child. Boys are likely to enjoy more of the family's resources and to be better raised than girls. In addition, the sex difference in overweight trends may relate to the emerging body image (preference of thinness) among Chinese adolescent females.

In general, our findings are consistent with those of several smaller studies of children and adolescents and with related adult studies in these countries that showed an increase in overweight in Brazil, China, and the United States, although they used different references to define overweight. The trends we observed in older children and adolescents in Brazil agree with studies involving adults (16,32), although other researchers recently found that the prevalence of overweight among preschoolers decreased when overweight was defined on the basis of weight-for-height z scores (3,4). In China, the 1982 and 1992 China National Nutrition Survey data showed an increase in the prevalence of overweight and a remarkable decrease in undernutrition in children (20). In the United States, the prevalence of overweight in children and adolescents increased 2-fold between the early 1970s and early 1990s (5). A Centers for Disease Control and Prevention report, based on the 1999 NHANES data, found that the prevalence of overweight and obesity among American children and adults continues to increase (33). This trend of increasing childhood obesity is also found in other industrialized and developing countries (7,8). The present study showed that the rapid increases in late childhood and adolescent obesity found in the United States are not restricted to high-income countries; this is most pointedly shown by the similarity in the increases in childhood obesity in the United States and Brazil. An exploration of shifts in the environment and related socioeconomic and behavioral factors common to these countries is needed.

We cannot fully explore these shifts in this paper, but the key question is, Why are they occurring? Clearly this is ultimately a question of energy imbalance, possibly interacting with genetic susceptibility, and hence, dietary intake and physical activity pattern changes that must be understood. Underlying these shifts are important changes in environmental factors related to socioeconomic and behavioral changes. First, there are the remarkable shifts in the economies and the social welfare of these 4 countries (18,22,29,30,34). Large proportions of the populations of Brazil, China, and the United States have benefited from improved economic and social conditions, whereas Russia faced severe economic setbacks in the 1990s. Over the past 2 decades, the per capita gross domestic product has tripled in Brazil and the United States and has increased by >10-fold in China (Figure 2). In contrast, in Russia, it decreased from $6230 in 1990 to $4370 in 1997 (18).

View larger version (14K): [in this window] [in a new window]   FIGURE 2. Trends in the gross domestic product (GDP) and in television ownership in the United States (), Brazil (), China (), and Russia (x). Data come from public use sources (18).

The transition in weight trends shown by the present study poses a major challenge for lower-income countries. For example, if countries facing this shift toward greater obesity continue to focus their feeding programs on undernutrition, they may actually increase the prevalence of obesity among those with marginal undernutrition, as occurred in Chile (39). Current nutrition programs for children and adolescents should be reviewed and revised to consider these rapidly emerging concerns. Furthermore, few countries are aggressively addressing obesity among schoolchildren in an active, systematic manner. Singapore has reduced obesity among school-age children significantly and enhanced their fitness. The concerted Singaporean effort includes systematic education of administrators and teachers, better physical education, and nutritional improvement in the beverages and food products available in schools (40). Similar efforts are clearly needed worldwide. It is important to note that shifts toward reduced adult obesity in Brazil do not appear to have reached older children and adolescents yet (41).

Clearly, our results show that countries of different economic development levels are facing considerable increases in obesity among older children and adolescents. This must alert scholars, program directors, and policymakers that broad international trends in socioeconomic and environmental factors as well as technology related to food supply and physical activity may be critical components of the global increase in childhood obesity. These trends pose many critical public health challenges in the new millennium. These changes are particularly challenging for countries facing shifts from under- to overnutrition problems; it is highly recommended that they adjust their national efforts in the food and nutrition area to consider these new realities.

	ACKNOWLEDGMENTS

 
We thank Frances Dancy for administrative assistance, Tom Swasey for graphics assistance, and Claire Zizza for her comments.

	REFERENCES

TOP ABSTRACT INTRODUCTION SUBJECTS AND METHODS RESULTS DISCUSSION REFERENCES

 

1. World Health Organization. Obesity: preventing and managing the global epidemic—report of a WHO consultation on obesity. Geneva: WHO, 1998.
2. Popkin BM, Doak CM. The obesity epidemic is a worldwide phenomenon. Nutr Rev 1998;56:106–14.[Medline]
3. de Onis M, Blössner M. Prevalence and trends of overweight among preschool children in developing countries. Am J Clin Nutr 2000;72: 1032–9.[Abstract/Free Full Text]
4. Martorell R, Kettel Khan L, Hughes ML, Grummer-Strawn LM. Overweight and obesity in preschool children from developing countries. Int J Obes Relat Metab Disord 2000;24:959–67.[Medline]
5. Troiano RP, Flegal KM, Kuczmarski RJ, Campbell SM, Johnson CL. Overweight prevalence and trends for children and adolescents. The National Health and Nutrition Examination Surveys, 1963 to 1991. Arch Pediatr Adolesc Med 1995;149:1085–91.[Abstract]
6. Reilly JJ, Dorosty AR. Epidemic of obesity in UK children. Lancet 1999;354:1874–5.[Medline]
7. Kotani K, Nishida M, Yamashita S, et al. Two decades of annual medical examinations in Japanese obese children: do obese children grow into obese adults? Int J Obes Relat Metab Disord 1997;21:912–21.[Medline]
8. Mo-suwan L, Junjana C, Puetpaiboon A. Increasing obesity in school children in a transitional society and the effect of the weight control program. Southeast Asian J Trop Med Public Health 1993;24:590–4.[Medline]
9. Guillaume M. Defining obesity in childhood: current practice. Am J Clin Nutr 1999;70(suppl):126S–30S.[Abstract/Free Full Text]
10. Power C, Lake JK, Cole TJ. Measurement and long-term health risks of child and adolescent fatness. Int J Obes Relat Metab Disord 1997;21:507–26.[Medline]
11. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000;320:1240–3.[Abstract/Free Full Text]
12. Must A, Dallal GE, Dietz WH. Reference data for obesity: 85th and 95th percentiles of body mass index (wt/ht²) and triceps skinfold thickness. Am J Clin Nutr 1991;53:839–46. (Published erratum appears in Am J Clin Nutr 1991;54:773.)[Abstract/Free Full Text]
13. World Health Organization. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser 1995;854:1–452.[Medline]
14. Dietz WH, Robinson TN. Use of the body mass index (BMI) as a measure of overweight in children and adolescents. J Pediatr 1998; 132:191–3.[Medline]
15. Must A, Strauss RS. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord 1999;23(suppl):S2–11.
16. Serdula MK, Ivery D, Coates JR, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Prev Med 1993;22:167–77.[Medline]
17. United Nations. Demographic yearbook 1997. New York: United Nations, 1999.
18. World Bank. World development indicators. Washington, DC: World Bank, 1999 (CD-ROM).
19. Monteiro CA, Benica MH, Conde WL, Popkin BM. Shifting obesity trends in Brazil. Eur J Clin Nutr 2000;54:342–7.[Medline]
20. Ge K, Zhai F, Yan H. The dietary and nutritional status of the Chinese population: 1992 National Nutrition Survey. Vol 2 (children and adolescents). Beijing: People's Medical Publishing House, 1999.
21. Ge K, Zhai F, Yan H. The dietary and nutritional status of the Chinese population: 1992 National Nutrition Survey. Vol 1. Beijing: People's Medical Publishing House, 1996.
22. China National Bureau of Statistics. China statistical yearbook 1999. Beijing: China Statistical Publishing House, 1999.
23. Wang Y, Popkin B, Zhai F. The nutritional status and dietary pattern of Chinese adolescents, 1991 and 1993. Eur J Clin Nutr 1998;52:908–16.[Medline]
24. Popkin BM, Baturin A, Kohlmeier L, Zohoori N. Russia: monitoring nutritional change during the reform period. In: Wheelock V, ed. Implementing dietary guidelines for healthy eating. London: Chapman and Hall, 1997:23–46.
25. National Center for Health Statistics. Plan and operation of the Third National Health and Nutrition Examination Survey, 1988–94. Vital Health Stat I 1994;32:1–407.
26. Wang Y, Wang JQ, Hesketh T, Ding QJ, Mulligan J, Kinra S. Standard definition of child overweight and obesity worldwide. BMJ 2000;321:1158–9 (letters).[Free Full Text]
27. Wang Y, Wang JQ. A comparison of different international references for the assessment of child and adolescent overweight and obesity in different populations. Eur J Clin Nutr (in press).
28. Inoue S, Zimmet P, Caterson I, et al. The Asia-Pacific perspective: redefining obesity and its treatment. 2000. Internet: http://iotf.org/ (accessed 19 February 2002).
29. Mroz T, Popkin BM. Poverty and the economic transition in the Russian Federation. Econ Dev Cult Change 1995;44:1–31.
30. Economic and Social Commission for Asia and the Pacific. Statistical yearbook for Asia and the Pacific. Bangkok: ESCAP, United Nations, 1988, 1998.
31. Wang Y, Adair L. How does maturity adjustment influence the estimates of obesity prevalence in adolescents from different countries using an international reference? Int J Obes Relat Metab Disord 2001;25:550–8.[Medline]
32. Monteiro CA, Conde WL. Time trends in overweight prevalence in children, adolescents and adults from less and developed regions of Brazil. In: Aihaud G, Guy-Grand B, eds. Progress in obesity research. London: John Libbey & Company Ltd, 1999:665–71.
33. Centers for Disease Control and Prevention, National Center for Health Statistics. Prevalence of overweight among children and adolescents: United States, 1999. Internet: http://www.cdc.gov/nchs/products/pubs/pubd/hestats/overwght99.htm (accessed 20 February 2002).
34. Food and Agriculture Organization. FAO production yearbook, 1997. Rome: Food and Agriculture Organization of the United Nations, 1998. (FAO statistics series; no.104.)
35. Popkin, BM. The nutrition transition and its health implications in lower-income countries. Public Health Nutr 1998;1:5–21.[Medline]
36. Popkin BM. Urbanization, lifestyle changes and the nutrition transition. World Dev 1999;27:1905–16.
37. Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH. Television viewing as a cause of increasing obesity among children in the United States, 1986–90. Arch Pediatr Adolesc Med 1996;150:356–62.[Abstract]
38. Klesges RC, Shelton ML, Klesges LM. Effects of television on metabolic rate: potential implications for childhood obesity. Pediatrics 1993;91:281–6.[Abstract/Free Full Text]
39. Uauy R, Albala C, Kain J. Obesity trends in Latin America: transiting from under- to overweight. J Nutr 2001;131:893–9.
40. Popkin BM, Horton S, Kim S. The nutrition transition and prevention of diet-related chronic diseases in Asia and the Pacific. Food Nutr Bull 2001;22(suppl)1–58.
41. Monteiro CA, Benicio MHDA, Conde WL, Popkin B. Shifting obesity trends in Brazil. Eur J Clin Nutr 2000;54:342–6.

This article has been cited by other articles:

				E. S. Ford and A. H. Mokdad Epidemiology of Obesity in the Western Hemisphere J. Clin. Endocrinol. Metab., November 1, 2008; 93(11_Supplement_1): s1 - s8. [Abstract] [Full Text] [PDF]

				A. Misra and L. Khurana Obesity and the Metabolic Syndrome in Developing Countries J. Clin. Endocrinol. Metab., November 1, 2008; 93(11_Supplement_1): s9 - s30. [Abstract] [Full Text] [PDF]

				O. A. Uthman A Multilevel Analysis of Individual and Community Effect on Chronic Childhood Malnutrition in Rural Nigeria J Trop Pediatr, October 9, 2008; (2008) fmn093v1. [Abstract] [Full Text] [PDF]

				M. R. M. P. da Luz Glucose as the sole metabolic fuel: a study on the possible influence of teachers' knowledge on the establishment of a misconception among Brazilian high school students Advan Physiol Educ, September 1, 2008; 32(3): 225 - 230. [Abstract] [Full Text] [PDF]

				B C K Choi, D V McQueen, P Puska, K A Douglas, M Ackland, S Campostrini, A Barcelo, S Stachenko, A H Mokdad, R Granero, et al. Enhancing global capacity in the surveillance, prevention, and control of chronic diseases: seven themes to consider and build upon J Epidemiol Community Health, May 1, 2008; 62(5): 391 - 397. [Abstract] [Full Text] [PDF]

				T H Jafar, Z Qadri, M Islam, J Hatcher, Z A Bhutta, and N Chaturvedi Rise in childhood obesity with persistently high rates of undernutrition among urban school-aged Indo-Asian children Arch. Dis. Child., May 1, 2008; 93(5): 373 - 378. [Abstract] [Full Text] [PDF]

				T. Jackson and Hong Chen Sociocultural Influences on Body Image Concerns of Young Chinese Males Journal of Adolescent Research, March 1, 2008; 23(2): 154 - 171. [Abstract] [PDF]

				C J Apfelbacher, J Cairns, T Bruckner, M Mohrenschlager, H Behrendt, J Ring, and U Kramer Prevalence of overweight and obesity in East and West German children in the decade after reunification: population-based series of cross-sectional studies J Epidemiol Community Health, February 1, 2008; 62(2): 125 - 130. [Abstract] [Full Text] [PDF]

				C. G. Victora Socio-Economic Differences in Health, Nutrition, and Population Within Developing Countries: An Overview JAMA, October 24, 2007; 298(16): 1943 - 1944. [Full Text] [PDF]

				Q. Zhang and Y. Wang Using concentration index to study changes in socio-economic inequality of overweight among US adolescents between 1971 and 2002 Int. J. Epidemiol., August 1, 2007; 36(4): 916 - 925. [Abstract] [Full Text] [PDF]

				K. M. Flegal, C. J. Tabak, and C. L. Ogden Overweight in children: definitions and interpretation Health Educ. Res., December 1, 2006; 21(6): 755 - 760. [Abstract] [Full Text] [PDF]

				Y. Wang and Q. Zhang Are American children and adolescents of low socioeconomic status at increased risk of obesity? Changes in the association between overweight and family income between 1971 and 2002. Am. J. Clinical Nutrition, October 1, 2006; 84(4): 707 - 716. [Abstract] [Full Text] [PDF]

				G. Psarra, G. P. Nassis, and L. S. Sidossis Short-term predictors of abdominal obesity in children Eur J Public Health, October 1, 2006; 16(5): 520 - 525. [Abstract] [Full Text] [PDF]

				A. D. Liese, T. Hirsch, E. von Mutius, and S. K. Weiland Burden of overweight in Germany: prevalence differences between former East and West German children Eur J Public Health, October 1, 2006; 16(5): 526 - 531. [Abstract] [Full Text] [PDF]

				J. Costa-Font and J. Gil Revisiting the 'Fat and Jolly' hypothesis: socio-environmental determinants of obesity and depression in Spain Socioecon. Rev., September 1, 2006; 4(3): 513 - 542. [Abstract] [Full Text] [PDF]

				E. P. Zorrilla, S. Iwasaki, J. A. Moss, J. Chang, J. Otsuji, K. Inoue, M. M. Meijler, and K. D. Janda From the Cover: Vaccination against weight gain PNAS, August 29, 2006; 103(35): 13226 - 13231. [Abstract] [Full Text] [PDF]

				C. L. Ogden, M. D. Carroll, L. R. Curtin, M. A. McDowell, C. J. Tabak, and K. M. Flegal Prevalence of Overweight and Obesity in the United States, 1999-2004 JAMA, April 5, 2006; 295(13): 1549 - 1555. [Abstract] [Full Text] [PDF]

				D. J. Hoffman, A. L. Sawaya, P. A. Martins, M. A. McCrory, and S. B. Roberts Comparison of Techniques to Evaluate Adiposity in Stunted and Nonstunted Children Pediatrics, April 1, 2006; 117(4): e725 - e732. [Abstract] [Full Text] [PDF]

				S. Kim and B. M Popkin Commentary: Understanding the epidemiology of overweight and obesity--a real global public health concern Int. J. Epidemiol., February 1, 2006; 35(1): 60 - 67. [Full Text] [PDF]

				K. L. Young Treating Overweight Children and Adolescents in the Clinic Clinical Pediatrics, October 1, 2005; 44(8): 647 - 653. [Abstract] [PDF]

				J Kuepper-Nybelen, A Lamerz, N Bruning, J Hebebrand, B Herpertz-Dahlmann, and H Brenner Major differences in prevalence of overweight according to nationality in preschool children living in Germany: determinants and public health implications Arch. Dis. Child., April 1, 2005; 90(4): 359 - 363. [Abstract] [Full Text] [PDF]

				A. Godoy-Matos, L. Carraro, A. Vieira, J. Oliveira, E. P. Guedes, L. Mattos, C. Rangel, R. O. Moreira, W. Coutinho, and J. C. Appolinario Treatment of Obese Adolescents with Sibutramine: A Randomized, Double-Blind, Controlled Study J. Clin. Endocrinol. Metab., March 1, 2005; 90(3): 1460 - 1465. [Abstract] [Full Text] [PDF]

				P.M.L. Skidmore and J.W.G. Yarnell The obesity epidemic: prospects for prevention QJM, December 1, 2004; 97(12): 817 - 825. [Abstract] [Full Text] [PDF]

				M. E. Howard, A. V. Desai, R. R. Grunstein, C. Hukins, J. G. Armstrong, D. Joffe, P. Swann, D. A. Campbell, and R. J. Pierce Sleepiness, Sleep-disordered Breathing, and Accident Risk Factors in Commercial Vehicle Drivers Am. J. Respir. Crit. Care Med., November 1, 2004; 170(9): 1014 - 1021. [Abstract] [Full Text] [PDF]

				G. V. da Veiga, A. S. da Cunha, and R. Sichieri Trends in Overweight Among Adolescents Living in the Poorest and Richest Regions of Brazil Am J Public Health, September 1, 2004; 94(9): 1544 - 1548. [Abstract] [Full Text] [PDF]

				C. F. Skibola, E. A. Holly, M. S. Forrest, A. Hubbard, P. M. Bracci, D. R. Skibola, C. Hegedus, and M. T. Smith Body Mass Index, Leptin and Leptin Receptor Polymorphisms, and Non-Hodgkin Lymphoma Cancer Epidemiol. Biomarkers Prev., May 1, 2004; 13(5): 779 - 786. [Abstract] [Full Text] [PDF]

				A. I. Neugut, A. C. Chen, and D. P. Petrylak The "Skinny" on Obesity and Prostate Cancer Prognosis J. Clin. Oncol., February 1, 2004; 22(3): 395 - 398. [Full Text] [PDF]

<