Abstract
This article investigates the prevalence of metabolic syndrome (MS) and the benefits of lowered body mass index (BMI) cutoff point for assessing MS prevalence in a large, nationally representative population sample comprising of 15,365 Thai adults from metropolitan Bangkok who received annual checkup. Prevalence of MS was characterized using the International Diabetes Federation criteria and BMI ≥25 kg/m2 as cutoff revealed that 26.63% of male and 14.90% of female subjects had MS and the prevalence was age dependent. Traditional BMI cutoff of ≥30 kg/m2 underestimated MS prevalence in Thai population while BMI ≥25 kg/m2 was found to be a suitable solution. Common combinations of MS components were identified in order to find common occurrences that may be implicated in the development of diabetes and/or cardiovascular diseases.
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Grundy SM, Brewer HB Jr, Cleeman JI, Smith SC Jr, Lenfant C (2004) Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation 109:433–438
Zimmet P, Alberti KG, Shaw J (2001) Global and societal implications of the diabetes epidemic. Nature 414:782–787
Mackay J, Mensah G (2004) Atlas of heart disease and stroke. World Health Organization, Geneva
Alberti K, Zimmet P (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Report of a WHO consultation. Diabet Med 15:539–553
Balkau B, Charles MA (1999) Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med 16:442–443
Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) (2001) JAMA 285:2486–2497
Eckel RH, Grundy SM, Zimmet PZ (2005) The metabolic syndrome. Lancet 365:1415–1428
Alberti KG, Zimmet P, Shaw J (2006) Metabolic syndrome—a new world-wild definition. A consensus statement from the International Diabetes Federation. Diabet Med 23:469–480
Tan CE, Ma S, Wai D, Chew SK, Tai ES (2004) Can we apply the National Cholesterol Education Program Adult Treatment Panel definition of the metabolic syndrome to Asians? Diabet Care 27:1182–1186
Alberti KG, Zimmet P, Shaw J, IDF Epidemiology Task Force Consensus Group (2005) The metabolic syndrome—a new worldwide definition. Lancet 366:1059–1062
Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J (2005) The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb 12:295–300
Ryan MC, Fenster Farin HM, Abbasi F, Reaven GM (2008) Comparison of waist circumference versus body mass index in diagnosing metabolic syndrome and identifying apparently healthy subjects at increased risk of cardiovascular disease. Am J Cardiol 102:40–46
Anuurad E, Shiwaku K, Nogi A, Kitajima K, Enkhmaa B, Shimono K, Yamane Y (2003) The new BMI criteria for Asians by the regional office for the western pacific region of WHO are suitable for screening of overweight to prevent metabolic syndrome in elder Japanese workers. J Occup Health 45:335–343
World Health Organization, International Association for the Study of Obesity, International Obesity Taskforce (2000) The Asia-Pacific perspective: redefining obesity and its treatment. Health Communications, Sydney
Amos A, McCarty D, Zimmet P (1997) The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabet Med 14(Suppl 5):S1–S85
World Health Organization (2008) Diabetes. Available from http://www.who.int/mediacentre/factsheets/fs312/en/index.html. Accessed 15 January 2009
World Health Organization (2007) Cardiovascular diseases. Available from http://www.who.int/mediacentre/factsheets/fs317/en/index.html. Accessed 15 January 2009
Wibulpolprasert S, Sirilak S, Ekachampaka P, Wattanamano N, Taverat R (2007) Thailand Health Profile Report 2005–2007. Bureau of Policy and Strategy, Ministry of Public Health, Thailand
Neison FGP (1844) On a method recently proposed for conducting inquiries into the comparative sanatory condition of various districts. Lond J R Stat Soc 7:40–68
National Cancer Institute Surveillance Epidemiology and End Results. Available from http://seer.cancer.gov/stdpopulations/stdpop.19ages.html. Accessed 11 May 2009
Ford ES, Giles WH, Mokdad AH (2004) Increasing prevalence of the metabolic syndrome among US adults. Diabetes Care 27:2444–2449
Shiwaku K, Anuurad E, Enkhmaa B, Kitajima K, Yamane Y (2004) Appropriate BMI for Asian populations. Lancet 363:1077
WHO expert consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163
Ko GT, Tang J, Chan JC, Sung R, Wu MM, Wai HP, Chen R (2001) Lower BMI cutoff value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance. Br J Nutr 85:239–242
Pan WH, Flegal KM, Chang HY, Yeh WT, Yeh CJ, Lee WC (2004) Body mass index and obesity-related metabolic disorders in Taiwanese and US whites and blacks: implications for definitions of overweight and obesity for Asians. Am J Clin Nutr 79:31–39
Oh SW, Shin SA, Yun YH, Yoo T, Huh BY (2004) Cut-off point of BMI and obesity-related comorbidities and mortality in middle-aged Koreans. Obes Res 12:2031–2040
Morimoto A, Nishimura R, Suzuki N, Matsudaira T, Taki K, Tsujino D, Miyashita Y, Ebara F, Ishikawa S, Tajima N (2008) Low prevalence of metabolic syndrome and its components in rural Japan. Tohoku J Exp Med 216:69–75
Stone MA, Williams L, Chatterjee S, Davies MJ, Khunti K (2008) Ethnic differences in body composition in adolescents. Prim Care Diabetes 2:55–57
Acknowledgments
The authors thank the Mobile Health Unit and the Center of Medical Laboratory Services of the Faculty of Medical Technology, Mahidol University for the data set used in this study. We gratefully acknowledge financial support from the Integrative Research Networking for The Improvement of Health and Quality of Life in Thachin-Maeklong River Basin, annual budget grant of Mahidol University (2551-2555) and Young Scholars Research Fellowship from The Thailand Research Fund to C·N. (Grant No. MRG5080450). A.W. is also grateful for a scholarship from the Royal Golden Jubilee Ph.D. program of the Thailand Research Fund under supervision of V.P.
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Worachartcheewan, A., Nantasenamat, C., Isarankura-Na-Ayudhya, C. et al. Lower BMI cutoff for assessing the prevalence of metabolic syndrome in Thai population. Acta Diabetol 47 (Suppl 1), 91–96 (2010). https://doi.org/10.1007/s00592-009-0137-0
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DOI: https://doi.org/10.1007/s00592-009-0137-0