Current Obesity Reports

, Volume 3, Issue 1, pp 16–37 | Cite as

Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries

  • Pei Nee Chong
  • Christinal Pey Wen Teh
  • Bee Koon Poh
  • Mohd Ismail Noor
Etiology of Obesity (MS Westerterp-Plantenga, Section Editor)

Abstract

Obesity is a worldwide pandemic, and the prevalence rate has doubled since the 1980s. Asian countries are also experiencing the global epidemic of obesity with its related health consequences. The prevalence of overweight and obesity are increasing at an alarming rate across all age groups in Asia. These increases are mainly attributed to rapid economic growth, which leads to socio-economic, nutrition and lifestyle transitions, resulting in a positive energy balance. In addition, fat mass and obesity-associated gene variants, copy number variants in chromosomes and epigenetic modifications have shown positive associations with the risk of obesity among Asians. In this review highlights of prevalence and related ecological and genetic factors that could influence the rapid rise in obesity among Asian populations are discussed.

Keywords

Adolescents Adults Asia Children Ecology Elderly Epigenetics Etiology Genetic variants Nutrition transition Overweight Obesity Physical activity Prevalence Socio-economy 

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. 1.
    World Health Organization. Obesity and overweight. Fact sheets. Available at: http://www.who.int/mediacentre/factsheets/fs311/en/. Accessed July 2013.
  2. 2.
    Ramachandran A, Chamukuttan S, Shetty SA, et al. Obesity in Asia – is it different from rest of the world. Diabetes Metab Res Rev. 2012;28 Suppl 2:47–51.PubMedGoogle Scholar
  3. 3.
    Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2013;9:13–27.PubMedGoogle Scholar
  4. 4.
    Ang YN, Wee BS, Poh BK, Ismail MN. Multifactorial influences of childhood obesity. Curr Obes Rep. 2013;2:10–22.Google Scholar
  5. 5.
    Shimokawa S, Chang H-H, Pinstrup-Andersen P. Understanding the differences in obesity among working adults between Taiwan and China. Asia Pac J Clin Nutr. 2008;18(1):88–95.Google Scholar
  6. 6.
    Goyal RK, Shah VN, Saboo BD, et al. Prevalence of overweight and obesity in Indian Adolescent School Going Children: its relationship with socioeconomic status and associated lifestyle factors. J Assoc Physicians India. 2010;58:151–8.PubMedGoogle Scholar
  7. 7.
    Halfon N, Larson K, Slusser W. Associations between obesity and comorbid mental health, developmental, and physical health conditions in a nationally representative sample of US children aged 10 to 17. Acad Pediatr. 2013;13:6–13.PubMedGoogle Scholar
  8. 8.
    Gothankar JS. Prevalence of obesity and its associated comorbidities amongst adults. Natl J Community Med. 2011;2(2):211–24.Google Scholar
  9. 9.
    Wee BS, Poh BK, Bulgiba A, et al. Risk of metabolic syndrome among children living in metropolitan Kuala Lumpur: a case control study. BMC Public Health. 2011;11:333.PubMedCentralPubMedGoogle Scholar
  10. 10.
    Chu N-F, Pan W-H. Prevalence of obesity and its comorbidities among schoolchildren in Taiwan. Asia Pac J Clin Nutr. 2007;16(S2):601–7.PubMedGoogle Scholar
  11. 11.
    Wang Y, Mi J, Shan X-Y, et al. Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int J Obes. 2006;31(1):177–88.Google Scholar
  12. 12.
    Vegharia G, Sedaghatb M, Maghsodlob S, et al. Influence of education in the prevalence of obesity in Iranian northern adults. J Cardiovasc Dis Res. 2013;4(1):30–3.Google Scholar
  13. 13.
    Sengupta A. The changing face of malnutrition in India. J Health Manag. 2012;14(4):451–65.Google Scholar
  14. 14.
    Tuan NT, Tuong PD, Popkin BM. Body mass index (BMI) dynamics in Vietnam. Eur J Clin Nutr. 2008;62:78–86.PubMedGoogle Scholar
  15. 15.
    Walls HL, Peeters A, Son PT, et al. Prevalence of underweight, overweight and obesity in urban Hanoi, Vietnam. Asia Pac J Clin Nutr. 2009;18(2):234–9.PubMedGoogle Scholar
  16. 16.
    Cuong TQ, Dibley MJ, Bowe S, et al. Obesity in adults: an emerging problem in urban areas of Ho Chi Minh City, Vietnam. Eur J Clin Nutr. 2007;61:673–81.PubMedGoogle Scholar
  17. 17.
    Dang CV, Day RS, Selwyn B, et al. Initiating BMI prevalence studies in Vietnamese children: changes in a transitional economy. Asia Pac J Clin Nutr. 2010;19(2):209–16.PubMedGoogle Scholar
  18. 18.
    Song Y, Wang H-J, Ma J, et al. Secular trends of obesity prevalence in Urban Chinese Children from 1985 to 2010: gender disparity. PLoS ONE. 2013;8(1):e53069.PubMedCentralPubMedGoogle Scholar
  19. 19.
    Cui ZH, Huxley R, Wu YF, et al. Temporal trends in overweight and obesity of children and adolescents from nine Provinces in China from 1991–2006. Int J Pediatr Obes. 2010;5(5):365–74.PubMedGoogle Scholar
  20. 20.
    Liu J-M, Ye R, Li S, et al. Prevalence of overweight/obesity in Chinese children. Arch Med Res. 2007;38(8):882–6.PubMedGoogle Scholar
  21. 21.
    Ji CY, WGOC. Body mass index reference for screening overweight and obesity in Chinese school-age children. Biomed Environ Sci. 2005;18:390–400.PubMedGoogle Scholar
  22. 22.
    Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1240–3.PubMedGoogle Scholar
  23. 23.
    Matsushita Y, Yoshiike N, Kaneda F, et al. Trends in childhood obesity in Japan over the last 25 years from the national nutrition survey. Obes Res. 2004;12(2):205–14.PubMedGoogle Scholar
  24. 24.
    International Obesity Task force. Available at: http://www.iaso.org/iotf/obesity/?map=children. Accessed July 2013.
  25. 25.
    Department of Health (DOH) of Executive Yuan, Taiwan, ROC. Available at http://www.doh.gov.tw. Accessed July 2013.
  26. 26.
    Chu NF. Prevalence and trends of obesity among school children in Taiwan/the Taipei Children Heart Study. Int J Obes Relat Metab Disord. 2001;25:170–6.PubMedGoogle Scholar
  27. 27.
    Centers for Disease Control and Prevention. 2000. Department of Health and Human Services. Centers for Disease Control and Prevention, USA. CDC growth charts for the United States [database on the internet]. Available at http://www.cdc.gov/nchs/data/nhanes/growthcharts/zscore/bmiagerev.xls. Accessed July 2013.
  28. 28.
    Raj M, Sundaram KR, Paul M, et al. Obesity in Indian children: time trends and relationship with hypertension. Natl Med J India. 2007;20(6):288–93.PubMedGoogle Scholar
  29. 29.
    World Health Organization. 2007. Growth Chart for Children 5–19 years. Geneva: WHO. Available at http://www.who.int/growthref/en/. Accessed July 2013.
  30. 30.
    Nouhjah S, Karandish M, Malihi R, et al. Prevalence of overweight and obesity in 2–5 years children based on New Who Growth Standards in Ahwaz, Iran. Pediatr Res. 2011;70:392.Google Scholar
  31. 31.
    Ahmed J, Laghari A, Naseer M, et al. Prevalence of and factors associated with obesity among Pakistani schoolchildren: a school-based, cross-sectional study. East Mediterr Health J. 2013;19(3):242–7.PubMedGoogle Scholar
  32. 32.
    World Health Organization. 2006. WHO Child Growth Standards. Geneva: WHO. Available at http://www.who.int/childgrowth. Accessed July 2013.
  33. 33.
    Sandjaja S, Budiman B, Harahap H, et al. Food consumption and nutritional and biochemical status of 0·5–12-year-old Indonesian children: the SEANUTS study. Br J Nutr. 2013. doi:10.1017/S0007114513002109.Google Scholar
  34. 34.
    Ismail MN, Norimah AK, Poh BK. Nutritional status and dietary habits of primary school children in peninsular Malaysia. Final report for UKM-Nestle Research Project. Kuala Lumpur: Department of Nutrition & Dietetics, Faculty of Allied Health Sciences, Universiti Kebangsaan Malaysia; 2006.Google Scholar
  35. 35.
    Ismail MN, Ruzita AT, Norimah AK, et al. Prevalence and trends of overweight and obesity in two cross-sectional studies of Malaysian children, 2002–2008. Presented at the MASO Scientific Conference on Obesity. Kuala Lumpur, Malaysia; August 12–13, 2009.Google Scholar
  36. 36.
    Khor GL. Food availability and the rising obesity prevalence in Malaysia. IeJSME. 2012;6 Suppl 1:S61–8.Google Scholar
  37. 37.
    Poh BK, Ng BK, Haslinda MDS, et al. Nutritional status and dietary intakes of children aged 6 months to 12 years: findings of the Nutrition Survey of Malaysian Children (SEANUTS Malaysia). Br J Nutr. 2013. doi:10.1017/S0007114513002092.Google Scholar
  38. 38.
    Cheah JS. Obesity in Singapore. Ann Acad Med Singapore. 1997;26:145–6.PubMedGoogle Scholar
  39. 39.
    Aekplakorn W, Mo-Suwan L. Prevalence of obesity in Thailand. Obes Rev. 2009;10(6):589–92.PubMedGoogle Scholar
  40. 40.
    Firestone R, Punpuing S, Peterson KE, et al. Child overweight and undernutrition in Thailand: is there an urban effect? Soc Sci Med. 2011;72:1420–8.PubMedGoogle Scholar
  41. 41.
    Sengmeuanga P, Kukongviriyapana U, Pasurivonga O, et al. Prevalence of obesity among Thai schoolchildren: a survey in Khon Kaen, Northeast Thailand. Asian Biomed. 2010;4(6):965–70.Google Scholar
  42. 42.
    Rojroongwasinku N, Kijboonchoo K, Wimonpeerapattana W, et al. SEANUTS: the nutritional status and dietary intakes of 0.5–12-year-old Thai children. Br J Nutr. 2013. doi:10.1017/S0007114513002110.Google Scholar
  43. 43.
    Hong TK, Trang NHHD, Dibley MJ. Changes in adiposity indicators of Ho Chi Minh City adolescents in a 5-year prospective cohort study. Int J Obes. 2013. doi:10.1038/ijo.2012.217.Google Scholar
  44. 44.
    Nguyen PVN, Hong TK, Hoang T, et al. High prevalence of overweight among adolescents in Ho Chi Minh City, Vietnam. BMC Public Health. 2013;13:141.PubMedCentralPubMedGoogle Scholar
  45. 45.
    Le HT, Vu NTT, Huyen DTT, et al. Overweight, obesity and associated factors among secondary school students in a northern city of Vietnam in 2011. Health. 2013;5:24–9.Google Scholar
  46. 46.
    Nguyen BKL, Thi HL, Do VAN, et al. Double burden of undernutrition and overnutrition in Vietnam in 2011: results of the Vietnamese SEANUTS study in 0·5–11-year-old children. Br J Nutr. 2013. doi:10.1017/S0007114513002080.Google Scholar
  47. 47.
    World Health Organization. Obesity: preventing and managing the global epidemic—report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:1–253.Google Scholar
  48. 48.
    Reynolds K, Gu DF, Whelton PK, et al. Prevalence and risk factors of overweight and obesity in China. Obesity. 2007;15(1):10–8.PubMedGoogle Scholar
  49. 49.
    Singh V, Sahu M, Yadav S, et al. Body mass index (BMI), waist circumference (WC) and obesity in the resident adults of Raipur District (Chhattisgarh state: India). J Phytology. 2012;4(3):33–9.Google Scholar
  50. 50.
    Maddah M, Solhpour A. Obesity in relation to gender, educational levels and living area in adult population in Rasht, northern Iran. Int J Cardiol. 2010;145(2):310–1.PubMedGoogle Scholar
  51. 51.
    Sidik SM, Rampal L. The prevalence and factors associated with obesity among adult women in Selangor, Malaysia. Asia Pacific Family Medicine. 2009;8(1):2.PubMedCentralPubMedGoogle Scholar
  52. 52.
    Rampal L, Rampal S, Khor GL, et al. A national study on the prevalence of obesity among 16,127 Malaysians. Asia Pac J Clin Nutr. 2007;16(3):561–6.PubMedGoogle Scholar
  53. 53.
    Mohamud WN, Musa KI, Khir AS, et al. Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35–41.PubMedGoogle Scholar
  54. 54.
    Azmi MY, Junidah R, Mariam SA, et al. Body Mass Index (BMI) of adults: findings of the Malaysian Adult Nutrition Survey (MANS). Mal J Nutr. 2009;15(2):97–119.Google Scholar
  55. 55.
    Sabanayagam C, Shankar A, Wong TY, et al. Socioeconomic status and overweight/obesity in an adult chinese population in Singapore. J Epidemiol. 2007;17(5):161–8.PubMedGoogle Scholar
  56. 56.
    World Health Organization. Expert consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–63.Google Scholar
  57. 57.
    Jitnarin N, Kosulwat V, Rojroongwasinkul N, et al. Risk factors for overweight and obesity among Thai adults: results of the national Thai food consumption survey. Nutrients. 2010;2:60–74.PubMedCentralPubMedGoogle Scholar
  58. 58.
    Nguyen MD, Beresford ASS, Drewnowski A. Trends in overweight by socio-economic status in Vietnam: 1992 to 2002. Public Health Nutr. 2007;10(2):115–21.PubMedGoogle Scholar
  59. 59.
    Song A, Liang Y, Yan Z, et al. Highly prevalent and poorly controlled cardiovascular risk factors among Chinese elderly people living in the rural community. Eur J Prev Cardiol. 2013. doi:10.1177/2047487313487621.PubMedGoogle Scholar
  60. 60.
    Zhou BF, CooperativeMeta-Analysis Group of the Working Group on Obesity in China. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults – study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci. 2002;15:83–96.PubMedGoogle Scholar
  61. 61.
    Schooling CM, Lam TH, Li ZB, et al. Obesity, physical activity, and mortality in a prospective Chinese Elderly Cohort. Arch Intern Med. 2006;166:1498–504.PubMedGoogle Scholar
  62. 62.
    Huang PC, Yu SL, Lin YM. Body weight of Chinese adults by sex, age and body height and criterion of obesity based on body mass index. J Chin Nutr Soc. 1992;17:157–72.Google Scholar
  63. 63.
    Lin CC, Li TC, Lai SW, et al. Epidemiology of obesity in elderly people. Epidemiology of obesity in elderly people. Yale J Biol Med. 1999;72:385–91.PubMedCentralPubMedGoogle Scholar
  64. 64.
    Ramachandran A, Snehalatha C, Shyamala P, et al. High prevalence of NIDDM and IGT in an Elderly South Indian Population with low rates of obesity. Diabetes Care. 1994;17(10):1190–2.PubMedGoogle Scholar
  65. 65.
    Nematy M, Sakhdari A, Ahmadi-Moghaddam P, et al. Prevalence of obesity and its association with socioeconomic factors in Elderly Iranians from Razavi-Khorasan Province. Scientific World Journal. 2009;9:1286–93.PubMedGoogle Scholar
  66. 66.
    Bakhshi E, Seifi B, Biglarian A, et al. Factors associated with obesity in Iranian elderly people: results from the National Health Survey. BMC Res Notes. 2011;4:538.PubMedCentralPubMedGoogle Scholar
  67. 67.
    Suzana S, Kee CC, Jamaludin AR, et al. The Third National Health and Morbidity Survey: prevalence of obesity, and abdominal obesity among the Malaysian Elderly Population. Asia Pac J Public Health. 2012;24(2):218–29.Google Scholar
  68. 68.
    Ostbye T, Malhotra R, Chan A. Variation in and correlates of body mass status of older Singaporean men and women: results from a National Survey. Asia Pac J Public Health. 2013;25(1):48–62.PubMedGoogle Scholar
  69. 69.
    Vapattanawong P, Aekplakorn W, Rakchanyaban U, et al. Obesity and mortality among older Thais: a four year follow up study. BMC Public Health. 2010;10:604.PubMedCentralPubMedGoogle Scholar
  70. 70.
    Kagawa M, Hills AP. Secular changes in BMI and obesity risk in Japanese Children: considerations from a Morphologic Perspective. Open Obes J. 2011;3:9–16.Google Scholar
  71. 71.
    •• Schaafsma A, Deurenberg P, Calame W, et al. Design of the South East Asian Nutrition Survey (SEANUTS): a four-country multistage cluster design study. British Journal of Nutrition. 2013;1–9. This is a combination of surveys carried out in Indonesia, Malaysia, Thailand and Vietnam that clearly demonstrated the differences of obesity prevalence and imbalances of energy intake and energy expenditure. These data is important for formulating nutritional health policies, as well as for designing innovative food and nutrition research and development programmes. Google Scholar
  72. 72.
    Kalra S, Unnikrishnan AG. Obesity in India: the weight of the nation. J Med Nutr Nutraceuticals. 2012;1(1):37–41.Google Scholar
  73. 73.
    World Health Organization. Global health and observatory. Overweight and obesity. Available at http://www.who.int/gho/ncd/risk_factors/overweight/en/. Accessed July 2013.
  74. 74.
    World Bank 2013. World Bank national accounts data, and OECD National Accounts data files. Available at http://api.worldbank.org/datafiles/NY.GDP.MKTP.CD_Indicator_MetaData_en_EXCEL.xls. Accessed July 2013.
  75. 75.
    World Bank 2013. Literacy rate, adult total (Percentage of people ages 15 and above). Available at http://data.worldbank.org/indicator/SE.ADT.LITR.ZS. Accessed August 2013.
  76. 76.
    World Bank 2013. International Telecommunication Union, World Telecommunication/ICT Development Report and database. Available at http://search.worldbank.org/data?qterm=IT.NET.BBND&language=EN. Accessed July 2013.
  77. 77.
    World Bank 2013. International Road Federation, World Road Statistics and data files Available at http://data.worldbank.org/indicator/IS.VEH.NVEH.P3. Accessed July 2013.
  78. 78.
    World Bank 2013. United Nations, World Urbanization Prospects. Available at http://search.worldbank.org/data?qterm=SP.URB.TOTL.IN.ZS&language=EN. Accessed July 2013.
  79. 79.
    Shen J, Goyal A, Sperling L. The emerging epidemic of obesity, diabetes, and the metabolic syndrome in China. Cardiol Res Pract. 2012;2012:1–5.Google Scholar
  80. 80.
    Dearth-Wesley T, Wang H, Popkin BM. Under- and overnutrition dynamics in Chinese children and adults (1991–2004). Eur J Clin Nutr. 2008;62:1302–7.PubMedGoogle Scholar
  81. 81.
    Zhang YX, Wang SR. Prevalence and regional distribution of childhood overweight and obesity in Shandong Province, China. World J Pediatr. 2013;9(2):135–9.PubMedGoogle Scholar
  82. 82.
    Chen D-R, Wen T-Z. Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: a multi-level model. Soc Sci Med. 2010;70:823–33.PubMedGoogle Scholar
  83. 83.
    Li M, Dibley MJ, Sibbritt D, et al. Factors associated with adolescents’ overweight and obesity at community, school and household levels in Xi’an City, China: results of hierarchical analysis. Eur J Clin Nutr. 2008;62:635–43.PubMedGoogle Scholar
  84. 84.
    Itoi A, Yamada Y, Watanabe Y, et al. Physical activity, energy intake, and obesity prevalence among urban and rural schoolchildren aged 11–12 years in Japan. Appl Physiol Nutr Metab. 2012;37(6):1189–99.PubMedGoogle Scholar
  85. 85.
    Lebel L, Krittasudthacheewa C, Salamanca A, et al. Lifestyles and consumption in cities and the links with health and well-being: the case of obesity. Curr Opin Environ Sustain. 2012;4:405–13.Google Scholar
  86. 86.
    Ng SW, Popkin BM. Time use and physical activity: a shift away from movement across the globe. Obes Rev. 2012;13:659–80.PubMedCentralPubMedGoogle Scholar
  87. 87.
    Lau XC, Chong KH, Poh BK, et al. Physical activity, fitness and the energy cost of activities: implications for obesity in children and adolescents in the tropics. In: Jeyakumar H, editor. Advances in food and nutrition research, vol. 70. Burlington: Academic Press; 2013. p. 49–101.Google Scholar
  88. 88.
    World Development Indicator 2013. 5.12 The information society. Available at http://wdi.worldbank.org/table/5.12. Accessed July 2013.
  89. 89.
    Trang NH, Hong TK, Dibley MJ, et al. Factors associated with physical inactivity in adolescents in Ho Chi Minh City, Vietnam. Med Sci Sports Exerc. 2009;41(7):1374–83.PubMedGoogle Scholar
  90. 90.
    Hallal PC, Andersen LB, Bull FC, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380:247–57.PubMedGoogle Scholar
  91. 91.
    World Health Organization. Global status report on non communicable diseases 2010. Available at http://www.who.int/nmh/publications/ncd_report2010/en/. Accessed August 2013.
  92. 92.
    Abdullah ASM, Wong CM, Yam HK, et al. Factors related to non-participation in physical activity among the students in Hong Kong. Int J Sports Med. 2005;26(7):611–5.PubMedGoogle Scholar
  93. 93.
    Ng SW, Zaghloul S, Ali H, et al. Nutrition transition in the United Arab Emirates. Eur J Clin Nutr. 2011;65:1328–37.PubMedCentralPubMedGoogle Scholar
  94. 94.
    Liou YM, Liou T-H, Chang L-C. Obesity among adolescents: sedentary leisure time and sleeping as determinants. J Adv Nurs. 2010;66(6):1246–56.PubMedGoogle Scholar
  95. 95.
    Ismail MN, Chee SS, Nawawi H, et al. Obesity in Malaysia. Obes Rev. 2002;3:203–8.PubMedGoogle Scholar
  96. 96.
    Poh BK, Safiah MY, Tahir A, et al. Physical activity pattern and energy expenditure of Malaysian adults: findings from the Malaysian Adult Nutrition Survey (MANS). Mal J Nutr. 2010;16(1):13–37.Google Scholar
  97. 97.
    Ismail MN. The nutrition and health transition in Malaysia. Public Health Nutr. 2002;5(1A):191–5.Google Scholar
  98. 98.
    U.S. Department of Health & Human Services. Physical Activity Guidelines for Americans. Washington, DC: U.S. Department of Health & Human Services. Available at: http://health.gov/paguidelines/guidelines/appendix1.aspx. Accessed July 2013.
  99. 99.
    Waidyatilaka I, Lanerolle P, Wickremasinghe R, et al. Sedentary behaviour and physical activity in South Asian Women: time to review current recommendations? PLoS ONE. 2013;8(3):e58328.PubMedCentralPubMedGoogle Scholar
  100. 100.
    Zhang Y-X, Zhou J-Y, Zhao J-S, et al. The role of 1-h physical activity every day in preventing obesity in adolescents in Shandong, China. Eur J Pediatr. 2013;172(3):325–30.Google Scholar
  101. 101.
    • Popkin BM, Adair LS, Ng SW. Now and then: the global nutrition transition: the pandemic of obesity in developing countries. Nutr Rev. 2012;70(1):3–21. This paper addressed the practical consideration for future programs and policy in tackling the rising prevalence of obesity. It did specifically pay attention to low- to middle- income countries for its nutritional shift, food system changes and dual burden of over- and under-nutrition. PubMedCentralPubMedGoogle Scholar
  102. 102.
    FAO 2013. Food and Agricultural Organization of the United Nations. Food balance sheets. Available at http://faostat3.fao.org/home/index.html#DOWNLOAD. Accessed July 2013.
  103. 103.
    Ko GT, So W-Y, Chow C-C, 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. 2010;64:1386–92.PubMedGoogle Scholar
  104. 104.
    Johnson RK, Appel JL, Brands M, et al. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation. 2009;120:1011–20.PubMedGoogle Scholar
  105. 105.
    Loos RJF, Bouchard C. FTO: the first gene contributing to common forms of human obesity. Obes Rev. 2008;9(3):246–50.PubMedGoogle Scholar
  106. 106.
    Davey G, Ramachandran A, Snehalatha C, et al. Familial aggregation of central obesity in Southern Indians. Int J Obes. 2000;24(11):1523–7.Google Scholar
  107. 107.
    Clément K, Sorensen TIA. Obesity: genomics and Post-genomic. New York: Informa Healthcare; 2008. p. 1–576.Google Scholar
  108. 108.
    Clément K. Genetics of human obesity. C R Biol. 2006;329:608–22.PubMedGoogle Scholar
  109. 109.
    Herrera BM, Lindgren CM. The genetics of obesity. Curr Diab Rep. 2010;10:498–505.PubMedCentralPubMedGoogle Scholar
  110. 110.
    Rhee KE, Phelan S, McCaffery J. Review article: early determinants of obesity: genetic, epigenetic, and in utero influences. Int J Pediatr. 2012;2012:1–9.Google Scholar
  111. 111.
    Scuteri A, Sanna S, Chen WM, et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007;3:e115.PubMedCentralPubMedGoogle Scholar
  112. 112.
    Loos RJF, Lindgren CM, Li S, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet. 2008;40:768–75.PubMedCentralPubMedGoogle Scholar
  113. 113.
    Willer CJ, Speliotes EK, Loos RJF, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet. 2009;41(1):25–34.PubMedCentralPubMedGoogle Scholar
  114. 114.
    Li S, Zhaom H, Luan J, et al. Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. Am J Clin Nutr. 2010;91:184–90.PubMedGoogle Scholar
  115. 115.
    Lindgren CM, Heid IM, Randall JC, et al. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution. PLoS Genet. 2009;5(6):e1000508.PubMedCentralPubMedGoogle Scholar
  116. 116.
    Frayling TM, Timpson NJ, Weedon MN, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007;316:889–94.PubMedCentralPubMedGoogle Scholar
  117. 117.
    Dina C, Meyre D, Gallina S, et al. Variation in FTO contributes to childhood obesity and severe adult. Obes Nat Genet. 2007;39:724–6.Google Scholar
  118. 118.
    Hinney A, Nguyen TT, Scherag A, et al. Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS ONE. 2007;2:e1361.PubMedCentralPubMedGoogle Scholar
  119. 119.
    Li H, Wu Y, Loos RJF, et al. Variants in the fat-mass and obesity-associated (FTO) gene are not associated with obesity in Chinese Han population. Diabetes. 2008;57:264–8.PubMedGoogle Scholar
  120. 120.
    Liu Y, Liu Z, Song Y, et al. Meta-analysis added power to identify variants in FTO associated with type 2 diabetes and obesity in the Asian population. Obesity (Silver Spring). 2010;18(8):1619–24.Google Scholar
  121. 121.
    Chang Y-C, Liu P-H, Lee W-J, et al. Common variation in the fat mass and obesity-associated (FTO) gene confers risk of obesity and modulates BMI in the Chinese population. Diabetes. 2008;57:2245–52.PubMedGoogle Scholar
  122. 122.
    Cheung CYY, Tso AWK, Cheung BMY, et al. Obesity susceptibility genetic variants identified from recent genome-wide association studies: implications in a Chinese population. J Clin Endocrinol Metab. 2010;95:1395–403.PubMedGoogle Scholar
  123. 123.
    Tan JT, Dorajoo R, Seielstad M, et al. FTO variants are associated with obesity in the Chinese and Malay populations in Singapore. Diabetes. 2008;57:2851–7.PubMedGoogle Scholar
  124. 124.
    Karasawa S, Daimon M, Sasaki S, et al. Association of the common fat mass and obesity associated (FTO) gene polymorphism with obesity in a Japanese population. Endocr J. 2010;57(4):293–301.PubMedGoogle Scholar
  125. 125.
    Chauhan G, Tabassum R, Mahajan A, et al. Commonn variants of FTO and the risk of obesity and type 2 diabetes in Indians. J Hum Genet. 2011;56:720–6.PubMedGoogle Scholar
  126. 126.
    Horikoshi M, Hara K, Ito C, et al. Variantions in HHEX gene are associated with increased risk of type 2 diabetes in Japanese population. Diabetologia. 2007;50:2461–6.PubMedGoogle Scholar
  127. 127.
    Yajnik CS, Janipalli CS, Bhaskar S, et al. FTO gene variants strongly associated with type 2 diabetes but only weakly with obesity in South Asian Indians. Diabetologia. 2009;52(2):247–52.PubMedCentralPubMedGoogle Scholar
  128. 128.
    International HapMap Project. Available at http://hapmap.ncbi.nlm.nih.gov/cgi-perl/gbrowse/hapmap27_B36/#search. Accessed July 2013.
  129. 129.
    Greene CS, Penrod NM, Williams SM, et al. Failure to replicate a genetic association may provide important clues about genetic architecture. PLoS ONE. 2009;4(6):e5639.PubMedCentralPubMedGoogle Scholar
  130. 130.
    Ohashi J, Naka I, Kimura R, et al. FTO polymorphisms in oceanic populations. J Hum Genet. 2007;52(12):1031–5.PubMedGoogle Scholar
  131. 131.
    Parizkova J, Chin M-K, Chia M, et al. An international perspective on obesity, health and physical activity: current trends and challenges in China and Asia. J Exerc Sci Fit. 2007;5(1):7–23.Google Scholar
  132. 132.
    Loos RJF, Bouchard C. Obesity—is it a genetic disorder? J Intern Med. 2003;254(5):401–25.PubMedGoogle Scholar
  133. 133.
    Grarup N, Andersen G. Gene-environment interactions in the pathogenesis of type 2 diabetes and metabolism. Curr Opin Clin Nutr Metab Care. 2007;10:420–6.PubMedGoogle Scholar
  134. 134.
    Kilpeläinen TO, Qi L, Brage S, et al. Physical activity attenuated the influence of FTO variants on obesity risk: a meta-analysis of 218166 adults and 19268 children. PLoS Med. 2011;8(11):e1001116.PubMedCentralPubMedGoogle Scholar
  135. 135.
    Lee SA, Xu WH, Zheng W, et al. Physical activity patterns and their correlates among Chinese men in Shanghai. Med Sci Sports Exerc. 2007;39:1700–7.PubMedGoogle Scholar
  136. 136.
    Jurj AL, Wen W, Gao YT, et al. Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women. BMC Public Health. 2007;7:213.PubMedCentralPubMedGoogle Scholar
  137. 137.
    Taylor AE, Sandeep MN, Janipalli CS, et al. Associations of FTO and MC4R variants with obesity traits in Indians and the role of rural/urban environment as a possible effect modifier. J Obes. 2011;2011:1–7.Google Scholar
  138. 138.
    Lasky-Su J, Lyon HN, Emilsson V, et al. On the replication of genetic associations: timing can be everything! Am J Hum Genet. 2008;82:849–58.PubMedCentralPubMedGoogle Scholar
  139. 139.
    Xi B, Shen Y, Zhang M, et al. The common rs9939609 variant of the fat mass and obesity-associated gene is associated with obesity risk in children and adolescents of Beijing, China. BMC Med Genet. 2010;11:107.PubMedCentralPubMedGoogle Scholar
  140. 140.
    Dorajoo R, Blakemore AIF, Sim X, et al. Replication of 13 obesity loci among Singaporean Chinese, Malay and Asian-Indian populations. Int J Obes. 2012;36:159–63.Google Scholar
  141. 141.
    Li S, Zhao JH, Luan J, et al. Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. Am J Clin Nutr. 2010;91:184–90.PubMedGoogle Scholar
  142. 142.
    Sebat J, Lakshmi B, Malhotra D, et al. Strong association of de novo copy number mutations with autism. Science. 2007;316:445–9.PubMedCentralPubMedGoogle Scholar
  143. 143.
    Marshall C, Noor A, Vincent J, et al. Structural variation of chromosomes in autism spectrum disorder. Am J Hum Genet. 2008;82:477–88.PubMedCentralPubMedGoogle Scholar
  144. 144.
    Yang TL, Chen XD, Guo Y, et al. Genome-wide copy-number-variation study identified a susceptibility gene, UGT2B17, for osteoporosis. Am J Hum Genet. 2008;83:663–74.PubMedCentralPubMedGoogle Scholar
  145. 145.
    Bochukova EG, Huang N, Keogh J, et al. Large, rare chromosomal deletions associated with severe early-onset obesity. Nature. 2010;463:666–70.PubMedCentralPubMedGoogle Scholar
  146. 146.
    Walters RG, Jacquemont S, Valsesia A, et al. A novel highly-penetrant form of obesity due to microdeletions on chromosome 16p11.2. Nature. 2010;463(7281):671–5.PubMedCentralPubMedGoogle Scholar
  147. 147.
    Sha B-Y, Yang T-L, Zhao L-J, et al. Genome-wide association study suggested copy number variation may be associated with body mass index in the Chinese population. J Hum Genet. 2009;54(4):199–202.PubMedCentralPubMedGoogle Scholar
  148. 148.
    Jarick I, Vogel CIG, Scherag S, et al. Novel common copy number variation for early onset extreme obesity on chromosome 11q11 identified by a genome-wide analysis. Hum Mol Genet. 2011;20(4):840–52.PubMedGoogle Scholar
  149. 149.
    Speliotes EK, Willer CJ, Berndt SI, et al. Association analyses of 294796 individuals reveal eighteen new loci associated with body mass index. Nat Genet. 2010;42(11):937–48.PubMedCentralPubMedGoogle Scholar
  150. 150.
    •• Yang T-L, Guo Y, Li SM, et al. Ethnic differentiation of copy number variation on chromosome 16p12.3 for association with obesity phenotypes in European and Chinese populations. Int J Obes. 2013;37:188–90. This paper suggested that copy number variants (CNV) 16p12.3 might be ethnic specific and cause phenotypic diversity, which may provide some new clues into the understanding of the genetic architecture of obesity. Google Scholar
  151. 151.
    Herrera BM, Keildson S, Lindgren CM. Genetics and epigenetics of obesity. Maturitas. 2011;69(1):41–9.PubMedCentralPubMedGoogle Scholar
  152. 152.
    Bird A. Perceptions of epigenetics. Nature. 2007;447:396–8.PubMedGoogle Scholar
  153. 153.
    Wolffe AP, Guschin D. Review: chromatin structural features and targets that regulate transcription. J Struct Biol. 2000;129:102–22.PubMedGoogle Scholar
  154. 154.
    Campión J, Milagro F, Martínez JA. Epigenetics and obesity. Prog Mol Biol Transl Sci. 2010;94:291–347.PubMedGoogle Scholar
  155. 155.
    Dabelea D, Mayer-Davis EJ, Lamichhane AP. Association of intrauterine exposure to maternal diabetes and obesity with type 2 diabetes in youth: the SEARCH case–control study. Diabetes Care. 2008;31(7):1422–6.PubMedGoogle Scholar
  156. 156.
    Smith J, Cianflone K, Biron S. Effects of maternal surgical weight loss in mothers on intergenerational transmission of obesity. J Clin Endocrinol Metab. 2009;94(11):4275–83.PubMedGoogle Scholar
  157. 157.
    Waterland RA, Jirtle RL. Early nutrition, epigenetic changes at transposons and imprinted genes, and enhanced susceptibility to adult chronic disease. Nutrition. 2004;20(1):63–8.PubMedGoogle Scholar
  158. 158.
    Waterland RA, Michels KB. Epigenetic epidemiology of the developmental origins hypothesis. Annu Rev Nutr. 2007;27:363–88.PubMedGoogle Scholar
  159. 159.
    Poirier LA. The effects of diet, genetics and chemicals on toxicity and aberrant DNA methylation: an introduction. J Nutr. 2002;132(8 Suppl):S2336–9.Google Scholar
  160. 160.
    Biniszkiewicz D, Gribnau J, Ramsahoye B. Dnmt1 overexpression causes genomic hypermethylation, loss of imprinting, and embryonic lethality. Mol Cell Biol. 2002;22(7):2124–35.PubMedCentralPubMedGoogle Scholar
  161. 161.
    Gerken T, Girard CA, Tung YC. The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase. Science. 2007;318(5855):1469–72.PubMedCentralPubMedGoogle Scholar
  162. 162.
    Widiker S, Karst S, Wagener A, et al. High-fat diet leads to a decreased methylation of the MC4R gene in the obese BFMI and the lean B6 mouse lines. J Appl Genet. 2010;51(2):193–7.PubMedGoogle Scholar
  163. 163.
    Choy JS, Wei S, Lee JY, et al. DNA methylation increases nucleosome compaction and rigidity. J Am Chem Soc. 2010;132(6):1782–3.PubMedGoogle Scholar
  164. 164.
    Plagemann A, Harder T, Brunn M. Hypothalamic proopiomelanocortin promoter methylation becomes altered by early overfeeding: an epigenetic model of obesity and the metabolic syndrome. J Physiol. 2009;587(20):4963–76.PubMedGoogle Scholar
  165. 165.
    Milagro FI, Campión J, Garcia-Diaz DF, et al. High fat diet-induced obesity modifies the methylation pattern of leptin promoter in rats. J Physiol Biochem. 2009;65(1):1–9.PubMedGoogle Scholar
  166. 166.
    Han JC, Lawlor DA, Kimm SYS. Childhood obesity. Lancet. 2010;375:1737–48.PubMedCentralPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Pei Nee Chong
    • 1
  • Christinal Pey Wen Teh
    • 2
  • Bee Koon Poh
    • 1
  • Mohd Ismail Noor
    • 3
  1. 1.Nutritional Sciences Programme, School of Healthcare Sciences, Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
  2. 2.UKM Medical Molecular Biology InstituteUniversiti Kebangsaan MalaysiaCherasMalaysia
  3. 3.Department of Nutrition and Dietetics, Faculty of Health SciencesMARA University of TechnologyPuncak AlamMalaysia

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