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The Definition and Prevalence of Obesity and Metabolic Syndrome

Engin, Atilla·2017·Advances in Experimental Medicine and Biology

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  1. Alberti, K.G., and P.Z. Zimmet. 1998. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetic Medicine: A Journal of the British Diabetic Association 15: 539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S . · doi:10.1002/(sici)1096-9136(199807)15:7<539::aid-dia668>3.0.co;2-s
  2. Almeda-Valdes, P., N. Aguilar-Olivos, M. Uribe, and N. Méndez-Sánchez. 2014. Common features of the metabolic syndrome and nonalcoholic fatty liver disease. Reviews on Recent Clinical Trials 9: 148–158. · DOI
  3. Ashwell, M. 2012. Plea for simplicity: use of waist-to-height ratio as a primary screening tool to assess cardiometabolic risk. Clinical Obesity 2: 3–5. doi: 10.1111/j.1758-8111.2012.00037.x . · DOI
  4. Ashwell, M., P. Gunn, and S. Gibson. 2012. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity 13: 275–286. doi: 10.1111/j.1467-789X.2011.00952.x . · DOI · Paper page
  5. Ashwell, M., L. Mayhew, J. Richardson, and B. Rickayzen. 2014. Waist-to-height ratio is more predictive of years of life lost than body mass index. PLoS One 9: e103483. doi: 10.1371/journal.pone.0103483 . · DOI
  6. Athyros, V.G., V.I. Bouloukos, A.N. Pehlivanidis, A.A. Papageorgiou, S.G. Dionysopoulou, A.N. Symeonidis, D.I. Petridis, M.I. Kapousouzi, E.A. Satsoglou, D.P. Mikhailidis, and MetS-Greece Collaborative Group. 2005. The prevalence of the metabolic syndrome in Greece: The MetS-Greece Multicentre Study. Diabetes, Obesity & Metabolism 7: 397–405. doi: 10.1111/j.1463-1326.2004.00409.x . · DOI · Paper page
  7. Aung, K., C. Lorenzo, M.A. Hinojosa, and S.M. Haffner. 2014. Risk of developing diabetes and cardiovascular disease in metabolically unhealthy normal-weight and metabolically healthy obese individuals. The Journal of Clinical Endocrinology and Metabolism 99: 462–468. doi: 10.1210/jc.2013-2832 . · DOI · Paper page
  8. Balkau, B., M.-A. Charles, T. Drivsholm, K. Borch-Johnsen, N. Wareham, J.S. Yudkin, R. Morris, I. Zavaroni, R. van Dam, E. Feskins, R. Gabriel, M. Diet, P. Nilsson, B. Hedblad, and European Group For The Study Of Insulin Resistance (EGIR). 2002. Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes & Metabolism 28: 364–376.
  9. Bennasar-Veny, M., A.A. Lopez-Gonzalez, P. Tauler, M.L. Cespedes, T. Vicente-Herrero, A. Yañez, M. Tomas-Salva, and A. Aguilo. 2013. Body adiposity index and cardiovascular health risk factors in Caucasians: A comparison with the body mass index and others. PLoS One 8: e63999. doi: 10.1371/journal.pone.0063999 . · DOI
  10. Bergman, R.N., D. Stefanovski, T.A. Buchanan, A.E. Sumner, J.C. Reynolds, N.G. Sebring, A.H. Xiang, and R.M. Watanabe. 2011. A better index of body adiposity. Obesity (Silver Spring, Md.) 19: 1083–1089. doi: 10.1038/oby.2011.38 . · DOI · Paper page
  11. Bergman, M., A. Chetrit, J. Roth, and R. Dankner. 2015. Dysglycemia and long-term mortality: Observations from the Israel study of glucose intolerance, obesity and hypertension. Diabetes/Metabolism Research and Reviews 31: 368–375. doi: 10.1002/dmrr.2618 . · DOI
  12. Bibiloni, M.D.M., A. Pons, and J.A. Tur. 2013. Prevalence of overweight and obesity in adolescents: A systematic review. ISRN Obesity 2013: 392747. doi: 10.1155/2013/392747 . · DOI
  13. ———. 2012. Are there still healthy obese patients? Current Opinion in Endocrinology, Diabetes, and Obesity 19: 341–346. doi: 10.1097/MED.0b013e328357f0a3 . · DOI
  14. Blüher, S., and P. Schwarz. 2014. Metabolically healthy obesity from childhood to adulthood—Does weight status alone matter? Metabolism 63: 1084–1092. doi: 10.1016/j.metabol.2014.06.009 . · DOI · Paper page
  15. Canlorbe, G., S. Bendifallah, E. Raimond, O. Graesslin, D. Hudry, C. Coutant, C. Touboul, G. Bleu, P. Collinet, E. Darai, and M. Ballester. 2015. Severe obesity impacts recurrence-free survival of women with high-risk endometrial cancer: Results of a French Multicenter Study. Annals of Surgical Oncology 22: 2714–2721. doi: 10.1245/s10434-014-4295-0 . · doi:10.1245/s10434-014-4295-0
  16. Cartier, A., I. Lemieux, N. Alméras, A. Tremblay, J. Bergeron, and J.-P. Després. 2008. Visceral obesity and plasma glucose-insulin homeostasis: Contributions of interleukin-6 and tumor necrosis factor-alpha in men. The Journal of Clinical Endocrinology and Metabolism 93: 1931–1938. doi: 10.1210/jc.2007-2191 . · DOI · Paper page
  17. Cartier, A., M. Côté, J. Bergeron, N. Alméras, A. Tremblay, I. Lemieux, and J.-P. Després. 2010. Plasma soluble tumour necrosis factor-alpha receptor 2 is elevated in obesity: Specific contribution of visceral adiposity. Clinical Endocrinology 72: 349–357. doi: 10.1111/j.1365-2265.2009.03671.x . · DOI
  18. Cerhan, J.R., S.C. Moore, E.J. Jacobs, C.M. Kitahara, P.S. Rosenberg, H.-O. Adami, J.O. Ebbert, D.R. English, S.M. Gapstur, G.G. Giles, P.L. Horn-Ross, Y. Park, A.V. Patel, K. Robien, E. Weiderpass, W.C. Willett, A. Wolk, A. Zeleniuch-Jacquotte, P. Hartge, L. Bernstein, and A. Berrington de Gonzalez. 2014. A pooled analysis of waist circumference and mortality in 650,000 adults. Mayo Clinic Proceedings 89: 335–345. doi: 10.1016/j.mayocp.2013.11.011 . · DOI · Paper page
  19. Chan, D.S.M., A.R. Vieira, D. Aune, E.V. Bandera, D.C. Greenwood, A. McTiernan, D. Navarro Rosenblatt, I. Thune, R. Vieira, and T. Norat. 2014. Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Annals of Oncology: Official Journal of the European Society for Medical Oncology 25: 1901–1914. doi: 10.1093/annonc/mdu042 . · DOI · Paper page
  20. Chandra, A., I.J. Neeland, J.D. Berry, C.R. Ayers, A. Rohatgi, S.R. Das, A. Khera, D.K. McGuire, J.A. de Lemos, and A.T. Turer. 2014. The relationship of body mass and fat distribution with incident hypertension: Observations from the Dallas Heart Study. Journal of the American College of Cardiology 64: 997–1002. doi: 10.1016/j.jacc.2014.05.057 . · DOI · Paper page
  21. Chang, Y., B.-K. Kim, K.E. Yun, J. Cho, Y. Zhang, S. Rampal, D. Zhao, H.-S. Jung, Y. Choi, J. Ahn, J.A.C. Lima, H. Shin, E. Guallar, and S. Ryu. 2014. Metabolically-healthy obesity and coronary artery calcification. Journal of the American College of Cardiology 63: 2679–2686. doi: 10.1016/j.jacc.2014.03.042 . · DOI · Paper page
  22. Chen, J. 2011. Multiple signal pathways in obesity-associated cancer. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity 12: 1063–1070. doi: 10.1111/j.1467-789X.2011.00917.x . · DOI · Paper page
  23. Choi, K.M., H.J. Cho, H.Y. Choi, S.J. Yang, H.J. Yoo, J.A. Seo, S.G. Kim, S.H. Baik, D.S. Choi, and N.H. Kim. 2013. Higher mortality in metabolically obese normal-weight people than in metabolically healthy obese subjects in elderly Koreans. Clinical Endocrinology 79: 364–370. doi: 10.1111/cen.12154 . · DOI
  24. Cicero, A.F.G., and G. Derosa. 2014. Are there mild and serious metabolic syndromes? The need for a graded diagnosis. Journal of Cardiovascular Medicine (Hagerstown, Md.) 15: 759–760. doi: 10.2459/JCM.0000000000000169 . · doi:10.2459/jcm.0000000000000169
  25. Cole, T.J., and T. Lobstein. 2012. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatric Obesity 7: 284–294. doi: 10.1111/j.2047-6310.2012.00064.x . · DOI · Paper page
  26. Davila, E.P., M.A. Quintero, M.L. Orrego, E.S. Ford, H. Walke, M.M. Arenas, and M. Pratt. 2013. Prevalence and risk factors for metabolic syndrome in Medellin and surrounding municipalities, Colombia, 2008–2010. Preventive Medicine 56: 30–34. doi: 10.1016/j.ypmed.2012.10.027 . · DOI
  27. Denys, K., M. Cankurtaran, W. Janssens, and M. Petrovic. 2009. Metabolic syndrome in the elderly: An overview of the evidence. Acta Clinica Belgica 64: 23–34. doi: 10.1179/acb.2009.006 . · DOI
  28. Dixon, J.B., P. Zimmet, K.G. Alberti, F. Rubino, and International Diabetes Federation Taskforce on Epidemiology and Prevention. 2011. Bariatric surgery: An IDF statement for obese Type 2 diabetes. Arquivos Brasileiros de Endocrinologia e Metabologia 55: 367–382. · DOI
  29. Drew, J.E. 2012. Molecular mechanisms linking adipokines to obesity-related colon cancer: Focus on leptin. The Proceedings of the Nutrition Society 71: 175–180. doi: 10.1017/S0029665111003259 . · DOI
  30. Drolet, R., C. Richard, A.D. Sniderman, J. Mailloux, M. Fortier, C. Huot, C. Rhéaume, and A. Tchernof. 2008. Hypertrophy and hyperplasia of abdominal adipose tissues in women. International Journal of Obesity 2005(32): 283–291. doi: 10.1038/sj.ijo.0803708 . · DOI · Paper page
  31. Duncan, J.S., E.K. Duncan, and G. Schofield. 2009. Accuracy of body mass index (BMI) thresholds for predicting excess body fat in girls from five ethnicities. Asia Pacific Journal of Clinical Nutrition 18: 404–411.
  32. Durward, C.M., T.J. Hartman, and S.M. Nickols-Richardson. 2012. All-cause mortality risk of metabolically healthy obese individuals in NHANES III. Journal of Obesity 2012: 460321. doi: 10.1155/2012/460321 . · DOI
  33. Ebong, I.A., D.C. Goff, C.J. Rodriguez, H. Chen, and A.G. Bertoni. 2014. Mechanisms of heart failure in obesity. Obesity Research and Clinical Practice 8: e540–e548. doi: 10.1016/j.orcp.2013.12.005 . · DOI · Paper page
  34. Eckel, R.H., S.M. Grundy, and P.Z. Zimmet. 2005. The metabolic syndrome. Lancet (London, England) 365: 1415–1428. doi: 10.1016/S0140-6736(05)66378-7 . · DOI · Paper page
  35. El Brini, O., O. Akhouayri, A. Gamal, A. Mesfioui, and B. Benazzouz. 2014. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 7: 341–346. doi: 10.2147/DMSO.S61245 . · DOI
  36. Ergin, I., H. Hassoy, and A. Kunst. 2012. Socio-economic inequalities in overweight among adults in Turkey: A regional evaluation. Public Health Nutrition 15: 58–66. doi: 10.1017/S1368980011001972 . · DOI
  37. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. 2001. 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). JAMA 285: 2486–2497. · DOI · Paper page
  38. Fernández-Bergés, D., A. Cabrera de León, H. Sanz, R. Elosua, M.J. Guembe, M. Alzamora, T. Vega-Alonso, F.J. Félix-Redondo, H. Ortiz-Marrón, F. Rigo, C. Lama, D. Gavrila, A. Segura-Fragoso, L. Lozano, and J. Marrugat. 2012. Metabolic syndrome in Spain: Prevalence and coronary risk associated with harmonized definition and WHO proposal DARIOS study. Revista Española de Cardiología (English Edition) 65: 241–248. doi: 10.1016/j.recesp.2011.10.015 . · DOI
  39. Ferreira, I., J.W.R. Twisk, W. van Mechelen, H.C.G. Kemper, J.C. Seidell, and C.D.A. Stehouwer. 2004. Current and adolescent body fatness and fat distribution: Relationships with carotid intima-media thickness and large artery stiffness at the age of 36 years. Journal of Hypertension 22: 145–155. · DOI
  40. Flegal, K.M., B.K. Kit, H. Orpana, and B.I. Graubard. 2013. Association of all-cause mortality with overweight and obesity using standard body mass index categories: A systematic review and meta-analysis. JAMA 309: 71–82. doi: 10.1001/jama.2012.113905 . · DOI · Paper page
  41. Ford, E.S. 2005. Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S. Diabetes Care 28: 2745–2749. · DOI · Paper page
  42. Ford, E.S., C. Li, and N. Sattar. 2008. Metabolic syndrome and incident diabetes: Current state of the evidence. Diabetes Care 31: 1898–1904. doi: 10.2337/dc08-0423 . · DOI · Paper page
  43. Gierach, M., J. Gierach, M. Ewertowska, A. Arndt, and R. Junik. 2014. Correlation between body mass index and waist circumference in patients with metabolic syndrome. ISRN Endocrinology 2014: 514589. doi: 10.1155/2014/514589 . · DOI · Paper page
  44. Ginter, E., and V. Simko. 2014. Becoming overweight: Is there a health risk? Bratislavske Lékařské Listy 115: 527–531.
  45. Goh, L.G.H., S.S. Dhaliwal, T.A. Welborn, A.H. Lee, and P.R. Della. 2014. Ethnicity and the association between anthropometric indices of obesity and cardiovascular risk in women: A cross-sectional study. BMJ Open 4: e004702. doi: 10.1136/bmjopen-2013-004702 . · DOI
  46. Goyal, A., K.R. Nimmakayala, and J. Zonszein. 2014. Is there a paradox in obesity? Cardiology in Review 22: 163–170. doi: 10.1097/CRD.0000000000000004 . · DOI
  47. Grotta, A., M. Bottai, H.-O. Adami, S.A. Adams, O. Akre, S.N. Blair, D. Mariosa, O. Nyrén, W. Ye, P. Stattin, R. Bellocco, and Y. Trolle Lagerros. 2015. Physical activity and body mass index as predictors of prostate cancer risk. World Journal of Urology 33: 1495–1502. doi: 10.1007/s00345-014-1464-5 . · DOI
  48. Guijarro de Armas, M.A.G., S. Monereo Megías, M. Merino Viveros, P. Iglesias Bolaños, and B. Vega Piñero. 2012. Prevalence of metabolic syndrome in a population of obese children and adolescents. Endocrinología y nutrición: Órgano de la Sociedad Española de Endocrinología y Nutrición 59: 155–159. doi: 10.1016/j.endonu.2012.01.003 . · DOI
  49. Gündogan, K., F. Bayram, M. Capak, F. Tanriverdi, A. Karaman, A. Ozturk, H. Altunbas, C. Gökce, A. Kalkan, and C. Yazici. 2009. Prevalence of metabolic syndrome in the Mediterranean region of Turkey: Evaluation of hypertension, diabetes mellitus, obesity, and dyslipidemia. Metabolic Syndrome and Related Disorders 7: 427–434. doi: 10.1089/met.2008.0068 . · DOI
  50. Guo, S.S., W. Wu, W.C. Chumlea, and A.F. Roche. 2002. Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. The American Journal of Clinical Nutrition 76: 653–658. · DOI · Paper page
  51. Hamdy, O., S. Porramatikul, and E. Al-Ozairi. 2006. Metabolic obesity: The paradox between visceral and subcutaneous fat. Current Diabetes Reviews 2: 367–373. · DOI · Paper page
  52. Harrington, D.M., A.E. Staiano, S.T. Broyles, A.K. Gupta, and P.T. Katzmarzyk. 2013. BMI percentiles for the identification of abdominal obesity and metabolic risk in children and adolescents: Evidence in support of the CDC 95th percentile. European Journal of Clinical Nutrition 67: 218–222. doi: 10.1038/ejcn.2012.203 . · DOI
  53. Hayes, A., A. Chevalier, M. D’Souza, L. Baur, L.M. Wen, and J. Simpson. 2016. Early childhood obesity: Association with healthcare expenditure in Australia. Obesity (Silver Spring, Md.) 24: 1752–1758. doi: 10.1002/oby.21544 . · DOI
  54. Heiss, G., M.L. Snyder, Y. Teng, N. Schneiderman, M.M. Llabre, C. Cowie, M. Carnethon, R. Kaplan, A. Giachello, L. Gallo, L. Loehr, and L. Avilés-Santa. 2014. Prevalence of metabolic syndrome among Hispanics/Latinos of diverse background: The Hispanic Community Health Study/Study of Latinos. Diabetes Care 37: 2391–2399. doi: 10.2337/dc13-2505 . · DOI · Paper page
  55. Hensrud, D.D., and S. Klein. 2006. Extreme obesity: A new medical crisis in the United States. Mayo Clinic Proceedings 81: S5–10. · DOI · Paper page
  56. Hinnouho, G.-M., S. Czernichow, A. Dugravot, G.D. Batty, M. Kivimaki, and A. Singh-Manoux. 2013. Metabolically healthy obesity and risk of mortality: Does the definition of metabolic health matter? Diabetes Care 36: 2294–2300. doi: 10.2337/dc12-1654 . · DOI · Paper page
  57. Hinnouho, G.-M., S. Czernichow, A. Dugravot, H. Nabi, E.J. Brunner, M. Kivimaki, and A. Singh-Manoux. 2015. Metabolically healthy obesity and the risk of cardiovascular disease and type 2 diabetes: The Whitehall II cohort study. European Heart Journal 36: 551–559. doi: 10.1093/eurheartj/ehu123 . · DOI · Paper page
  58. Hydrie, M.Z.I., A.S. Shera, A. Fawwad, A. Basit, and A. Hussain. 2009. Prevalence of metabolic syndrome in urban Pakistan (Karachi): Comparison of newly proposed International Diabetes Federation and modified Adult Treatment Panel III criteria. Metabolic Syndrome and Related Disorders 7: 119–124. doi: 10.1089/met.2008.0055 . · DOI
  59. Iannucci, C.V., D. Capoccia, M. Calabria, and F. Leonetti. 2007. Metabolic syndrome and adipose tissue: New clinical aspects and therapeutic targets. Current Pharmaceutical Design 13: 2148–2168. · doi:10.2174/138161207781039571
  60. Kahn, S.E., R.L. Prigeon, R.S. Schwartz, W.Y. Fujimoto, R.H. Knopp, J.D. Brunzell, and D. Porte. 2001. Obesity, body fat distribution, insulin sensitivity and Islet beta-cell function as explanations for metabolic diversity. The Journal of Nutrition 131: 354S–360S. · DOI · Paper page
  61. Keaver, L., L. Webber, A. Dee, F. Shiely, T. Marsh, K. Balanda, I.J. Perry, and I. Perry. 2013. Application of the UK foresight obesity model in Ireland: The health and economic consequences of projected obesity trends in Ireland. PLoS One 8: e79827. doi: 10.1371/journal.pone.0079827 . · DOI
  62. Khoury, M., C. Manlhiot, and B.W. McCrindle. 2013. Role of the waist/height ratio in the cardiometabolic risk assessment of children classified by body mass index. Journal of the American College of Cardiology 62: 742–751. doi: 10.1016/j.jacc.2013.01.026 . · DOI · Paper page
  63. Kiraly, L., R.T. Hurt, and C.W. Van Way. 2011. The outcomes of obese patients in critical care. JPEN Journal of Parenteral and Enteral Nutrition 35: 29S–35S. doi: 10.1177/0148607111413774 . · DOI
  64. Kramer, C.K., B. Zinman, and R. Retnakaran. 2013. Are metabolically healthy overweight and obesity benign conditions?: A systematic review and meta-analysis. Annals of Internal Medicine 159: 758–769. doi: 10.7326/0003-4819-159-11-201312030-00008 . · DOI · Paper page
  65. Lehnert, T., P. Streltchenia, A. Konnopka, S.G. Riedel-Heller, and H.-H. König. 2015. Health burden and costs of obesity and overweight in Germany: An update. The European Journal of Health Economics: HEPAC: Health Economics in Prevention and Care 16: 957–967. doi: 10.1007/s10198-014-0645-x . · DOI
  66. Leung, M.-Y.M., L.M. Pollack, G.A. Colditz, and S.-H. Chang. 2015. Life years lost and lifetime health care expenditures associated with diabetes in the U.S., National Health Interview Survey, 1997–2000. Diabetes Care 38: 460–468. doi: 10.2337/dc14-1453 . · DOI
  67. Lissau, I., M.D. Overpeck, W.J. Ruan, P. Due, B.E. Holstein, M.L. Hediger, and Health Behaviour in School-aged Children Obesity Working Group. 2004. Body mass index and overweight in adolescents in 13 European countries, Israel, and the United States. Archives of Pediatrics & Adolescent Medicine 158: 27–33. doi: 10.1001/archpedi.158.1.27 . · DOI · Paper page
  68. Liu, X., Y. Liu, J. Zhan, and Q. He. 2015. Overweight, obesity and risk of all-cause and cardiovascular mortality in patients with type 2 diabetes mellitus: A dose-response meta-analysis of prospective cohort studies. European Journal of Epidemiology 30: 35–45. doi: 10.1007/s10654-014-9973-5 . · DOI
  69. Maksimovic, M.Z., H.D. Vlajinac, D.J. Radak, J.M. Marinkovic, and J.B. Jorga. 2012. Prevalence of the metabolic syndrome in patients with carotid disease according to NHLBI/AHA and IDF criteria: A cross-sectional study. BMC Cardiovascular Disorders 12: 2. doi: 10.1186/1471-2261-12-2 . · DOI
  70. Mancia, G., M. Bombelli, R. Facchetti, A. Casati, I. Ronchi, F. Quarti-Trevano, F. Arenare, G. Grassi, and R. Sega. 2010. Impact of different definitions of the metabolic syndrome on the prevalence of organ damage, cardiometabolic risk and cardiovascular events. Journal of Hypertension 28: 999–1006. doi: 10.1097/HJH.0b013e328337a9e3 . · DOI
  71. Marques-Vidal, P., S. Velho, D. Waterworth, G. Waeber, R. von Känel, and P. Vollenweider. 2012. The association between inflammatory biomarkers and metabolically healthy obesity depends of the definition used. European Journal of Clinical Nutrition 66: 426–435. doi: 10.1038/ejcn.2011.170 . · DOI
  72. Melmer, A., C. Lamina, A. Tschoner, C. Ress, S. Kaser, M. Laimer, A. Sandhofer, B. Paulweber, and C.F. Ebenbichler. 2013. Body adiposity index and other indexes of body composition in the SAPHIR study: Association with cardiovascular risk factors. Obesity (Silver Spring, Md.) 21: 775–781. doi: 10.1002/oby.20289 . · DOI
  73. Nascimento, V.G., C.J. Bertoli, and C. Leone. 2011. Ratio of weight to height gain: A useful tool for identifying children at risk of becoming overweight or obese at preschool age. Clinics (São Paulo, Brazil) 66: 1223–1226. · DOI
  74. Ng, M., T. Fleming, M. Robinson, B. Thomson, N. Graetz, C. Margono, E.C. Mullany, S. Biryukov, C. Abbafati, S.F. Abera, J.P. Abraham, N.M.E. Abu-Rmeileh, T. Achoki, F.S. AlBuhairan, Z.A. Alemu, R. Alfonso, M.K. Ali, R. Ali, N.A. Guzman, W. Ammar, P. Anwari, A. Banerjee, S. Barquera, S. Basu, D.A. Bennett, Z. Bhutta, J. Blore, N. Cabral, I.C. Nonato, J.-C. Chang, R. Chowdhury, K.J. Courville, M.H. Criqui, D.K. Cundiff, K.C. Dabhadkar, L. Dandona, A. Davis, A. Dayama, S.D. Dharmaratne, E.L. Ding, A.M. Durrani, A. Esteghamati, F. Farzadfar, D.F.J. Fay, V.L. Feigin, A. Flaxman, M.H. Forouzanfar, A. Goto, M.A. Green, R. Gupta, N. Hafezi-Nejad, G.J. Hankey, H.C. Harewood, R. Havmoeller, S. Hay, L. Hernandez, A. Husseini, B.T. Idrisov, N. Ikeda, F. Islami, E. Jahangir, S.K. Jassal, S.H. Jee, M. Jeffreys, J.B. Jonas, E.K. Kabagambe, S.E.A.H. Khalifa, A.P. Kengne, Y.S. Khader, Y.-H. Khang, D. Kim, R.W. Kimokoti, J.M. Kinge, Y. Kokubo, S. Kosen, G. Kwan, T. Lai, M. Leinsalu, Y. Li, X. Liang, S. Liu, G. Logroscino, P.A. Lotufo, Y. Lu, J. Ma, N.K. Mainoo, G.A. Mensah, T.R. Merriman, A.H. Mokdad, J. Moschandreas, M. Naghavi, A. Naheed, D. Nand, K.M.V. Narayan, E.L. Nelson, M.L. Neuhouser, M.I. Nisar, T. Ohkubo, S.O. Oti, A. Pedroza, D. Prabhakaran, N. Roy, U. Sampson, H. Seo, S.G. Sepanlou, K. Shibuya, R. Shiri, I. Shiue, G.M. Singh, J.A. Singh, V. Skirbekk, N.J.C. Stapelberg, L. Sturua, B.L. Sykes, M. Tobias, B.X. Tran, L. Trasande, H. Toyoshima, S. van de Vijver, T.J. Vasankari, J.L. Veerman, G. Velasquez-Melendez, V.V. Vlassov, S.E. Vollset, T. Vos, C. Wang, X. Wang, E. Weiderpass, A. Werdecker, J.L. Wright, Y.C. Yang, H. Yatsuya, J. Yoon, S.-J. Yoon, Y. Zhao, M. Zhou, S. Zhu, A.D. Lopez, C.J.L. Murray, and E. Gakidou. 2014. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England) 384: 766–781. doi: 10.1016/S0140-6736(14)60460-8 . · DOI · Paper page
  75. Oh, C.-M., J.K. Jun, and M. Suh. 2014. Risk of cancer mortality according to the metabolic health status and degree of obesity. Asian Pacific Journal of Cancer Prevention: APJCP 15: 10027–10031. · DOI
  76. Onat, A., M. Uğur, G. Can, H. Yüksel, and G. Hergenç. 2010. Visceral adipose tissue and body fat mass: Predictive values for and role of gender in cardiometabolic risk among Turks. Nutrition (Burbank, Los Angeles County, Calif.) 26: 382–389. doi: 10.1016/j.nut.2009.05.019 . · DOI
  77. Ostchega, Y., J.P. Hughes, A. Terry, T.H.I. Fakhouri, and I. Miller. 2012. Abdominal obesity, body mass index, and hypertension in US adults: NHANES 2007-2010. American Journal of Hypertension 25: 1271–1278. doi: 10.1038/ajh.2012.120 . · DOI
  78. Peeters, P.J.H.L., M.T. Bazelier, H.G.M. Leufkens, F. de Vries, and M.L. De Bruin. 2015. The risk of colorectal cancer in patients with type 2 diabetes: Associations with treatment stage and obesity. Diabetes Care 38: 495–502. doi: 10.2337/dc14-1175 . · DOI · Paper page
  79. Pérez-Farinós, N., A.M. López-Sobaler, M.Á. Dal Re, C. Villar, E. Labrado, T. Robledo, and R.M. Ortega. 2013. The ALADINO study: A national study of prevalence of overweight and obesity in Spanish children in 2011. BioMed Research International 2013: 163687. doi: 10.1155/2013/163687 . · DOI
  80. Phillips, C.M., C. Dillon, J.M. Harrington, V.J.C. McCarthy, P.M. Kearney, A.P. Fitzgerald, and I.J. Perry. 2013. Defining metabolically healthy obesity: Role of dietary and lifestyle factors. PLoS One 8: e76188. doi: 10.1371/journal.pone.0076188 . · DOI · Paper page
  81. Pickkers, P., N. de Keizer, J. Dusseljee, D. Weerheijm, J.G. van der Hoeven, and N. Peek. 2013. Body mass index is associated with hospital mortality in critically ill patients: An observational cohort study. Critical Care Medicine 41: 1878–1883. doi: 10.1097/CCM.0b013e31828a2aa1 . · DOI · Paper page
  82. Plourde, G., and A.D. Karelis. 2014. Current issues in the identification and treatment of metabolically healthy but obese individuals. Nutrition, Metabolism, and Cardiovascular Diseases: NMCD 24: 455–459. doi: 10.1016/j.numecd.2013.12.002 . · DOI
  83. Rey-López, J.P., L.F. de Rezende, M. Pastor-Valero, and B.H. Tess. 2014. The prevalence of metabolically healthy obesity: A systematic review and critical evaluation of the definitions used. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity 15: 781–790. doi: 10.1111/obr.12198 . · DOI · Paper page
  84. Roberson, L.L., E.C. Aneni, W. Maziak, A. Agatston, T. Feldman, M. Rouseff, T. Tran, M.J. Blaha, R.D. Santos, A. Sposito, M.H. Al-Mallah, R. Blankstein, M.J. Budoff, and K. Nasir. 2014. Beyond BMI: The “Metabolically healthy obese” phenotype & its association with clinical/subclinical cardiovascular disease and all-cause mortality—A systematic review. BMC Public Health 14: 14. doi: 10.1186/1471-2458-14-14 . · DOI · Paper page
  85. Robinson, M.K., K.M. Mogensen, J.D. Casey, C.K. McKane, T. Moromizato, J.D. Rawn, and K.B. Christopher. 2015. The relationship among obesity, nutritional status, and mortality in the critically ill. Critical Care Medicine 43: 87–100. doi: 10.1097/CCM.0000000000000602 . · DOI · Paper page
  86. Rtveladze, K., T. Marsh, S. Barquera, L.M. Sanchez Romero, D. Levy, G. Melendez, L. Webber, F. Kilpi, K. McPherson, and M. Brown. 2014. Obesity prevalence in Mexico: Impact on health and economic burden. Public Health Nutrition 17: 233–239. doi: 10.1017/S1368980013000086 . · DOI · Paper page
  87. Sakr, Y., C. Madl, D. Filipescu, R. Moreno, J. Groeneveld, A. Artigas, K. Reinhart, and J.-L. Vincent. 2008. Obesity is associated with increased morbidity but not mortality in critically ill patients. Intensive Care Medicine 34: 1999–2009. doi: 10.1007/s00134-008-1243-0 . · DOI · Paper page
  88. Sakurai, T., S. Iimuro, A. Araki, H. Umegaki, Y. Ohashi, K. Yokono, and H. Ito. 2010. Age-associated increase in abdominal obesity and insulin resistance, and usefulness of AHA/NHLBI definition of metabolic syndrome for predicting cardiovascular disease in Japanese elderly with type 2 diabetes mellitus. Gerontology 56: 141–149. doi: 10.1159/000246970 . · DOI
  89. Sangun, Ö., B. Dündar, M. Köşker, Ö. Pirgon, and N. Dündar. 2011. Prevalence of metabolic syndrome in obese children and adolescents using three different criteria and evaluation of risk factors. Journal of Clinical Research in Pediatric Endocrinology 3: 70–76. doi: 10.4274/jcrpe.v3i2.15 . · DOI
  90. Sassi, F., M. Devaux, M. Cecchini, and E. Rusticelli. 2009. The obesity epidemic: Analysis of past and projected future trends in selected OECD countries (OECD Health Working Papers). Paris: Organisation for Economic Co-operation and Development. · DOI · Paper page
  91. Scuteri, A., S. Laurent, F. Cucca, J. Cockcroft, P.G. Cunha, L.R. Mañas, F.U. Mattace Raso, M.L. Muiesan, L. Ryliškytė, E. Rietzschel, J. Strait, C. Vlachopoulos, H. Völzke, E.G. Lakatta, P.M. Nilsson, and Metabolic Syndrome and Arteries Research (MARE) Consortium. 2015. Metabolic syndrome across Europe: Different clusters of risk factors. European Journal of Preventive Cardiology 22: 486–491. doi: 10.1177/2047487314525529 . · DOI · Paper page
  92. Sijtsma, A., G. Bocca, C. L’abée, E.T. Liem, P.J.J. Sauer, and E. Corpeleijn. 2014. Waist-to-height ratio, waist circumference and BMI as indicators of percentage fat mass and cardiometabolic risk factors in children aged 3–7 years. Clinical Nutrition (Edinburgh, Scotland) 33: 311–315. doi: 10.1016/j.clnu.2013.05.010 . · DOI
  93. Sonntag, D., S. Ali, and F. De Bock. 2016. Lifetime indirect cost of childhood overweight and obesity: A decision analytic model. Obesity (Silver Spring, Md.) 24: 200–206. doi: 10.1002/oby.21323 . · DOI
  94. Stapleton, R.D., and B.T. Suratt. 2014. Obesity and nutrition in acute respiratory distress syndrome. Clinics in Chest Medicine 35: 655–671. doi: 10.1016/j.ccm.2014.08.005 . · DOI
  95. Sundström, J., U. Risérus, L. Byberg, B. Zethelius, H. Lithell, and L. Lind. 2006. Clinical value of the metabolic syndrome for long term prediction of total and cardiovascular mortality: Prospective, population based cohort study. BMJ 332: 878–882. doi: 10.1136/bmj.38766.624097.1F . · DOI · Paper page
  96. Tenenbaum, A., and E.Z. Fisman. 2011. “The metabolic syndrome... is dead”: These reports are an exaggeration. Cardiovascular Diabetology 10: 11. doi: 10.1186/1475-2840-10-11 . · DOI
  97. Tenenbaum, A., M. Motro, E. Schwammenthal, and E.Z. Fisman. 2004. Macrovascular complications of metabolic syndrome: An early intervention is imperative. International Journal of Cardiology 97: 167–172. doi: 10.1016/j.ijcard.2003.07.033 . · DOI
  98. Twells, L.K., D.M. Gregory, J. Reddigan, and W.K. Midodzi. 2014. Current and predicted prevalence of obesity in Canada: A trend analysis. CMAJ Open 2: E18–E26. doi: 10.9778/cmajo.20130016 . · DOI · Paper page
  99. Vonbank, A., C.H. Saely, P. Rein, and H. Drexel. 2013. Insulin resistance is significantly associated with the metabolic syndrome, but not with sonographically proven peripheral arterial disease. Cardiovascular Diabetology 12: 106. doi: 10.1186/1475-2840-12-106 . · DOI
  100. Vucenik, I., and J.P. Stains. 2012. Obesity and cancer risk: Evidence, mechanisms, and recommendations. Annals of the New York Academy of Sciences 1271: 37–43. doi: 10.1111/j.1749-6632.2012.06750.x . · DOI · Paper page
  101. Wang, Y.C., K. McPherson, T. Marsh, S.L. Gortmaker, and M. Brown. 2011. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet (London, England) 378: 815–825. doi: 10.1016/S0140-6736(11)60814-3 . · DOI · Paper page
  102. Wijnhoven, T.M.A., J.M.A. van Raaij, A. Spinelli, A.I. Rito, R. Hovengen, M. Kunesova, G. Starc, H. Rutter, A. Sjöberg, A. Petrauskiene, U. O’Dwyer, S. Petrova, V. Farrugia Sant’angelo, M. Wauters, A. Yngve, I.-M. Rubana, and J. Breda. 2013. WHO European Childhood Obesity Surveillance Initiative 2008: Weight, height and body mass index in 6-9-year-old children. Pediatric Obesity 8: 79–97. doi: 10.1111/j.2047-6310.2012.00090.x . · DOI · Paper page
  103. Wijnhoven, T.M.A., J.M.A. van Raaij, A. Spinelli, G. Starc, M. Hassapidou, I. Spiroski, H. Rutter, É. Martos, A.I. Rito, R. Hovengen, N. Pérez-Farinós, A. Petrauskiene, N. Eldin, L. Braeckevelt, I. Pudule, M. Kunešová, and J. Breda. 2014. WHO European Childhood Obesity Surveillance Initiative: Body mass index and level of overweight among 6–9-year-old children from school year 2007/2008 to school year 2009/2010. BMC Public Health 14: 806. doi: 10.1186/1471-2458-14-806 . · DOI · Paper page
  104. Wu, S.H., W.S. Hui, Z. Liu, and S.C. Ho. 2010. Metabolic syndrome and all-cause mortality: A meta-analysis of prospective cohort studies. European Journal of Epidemiology 25: 375–384. doi: 10.1007/s10654-010-9459-z . · DOI · Paper page
  105. Zuo, H., Z. Shi, X. Hu, M. Wu, Z. Guo, and A. Hussain. 2009. Prevalence of metabolic syndrome and factors associated with its components in Chinese adults. Metabolism 58: 1102–1108. doi: 10.1016/j.metabol.2009.04.008 . · DOI

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Metadata

Authors
Engin, A.
Venue
Advances in Experimental Medicine and Biology
Published
2017
Volume
960
Pages
1-17
ISSN
  • 0065-2598 (ISSN-L)
  • 2214-8019
OpenAlex
W2623159596
Cited by
1,180
References
13
FWCI
283.80
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Definition and Prevalence of Obesity and Metabolic Syndrome. https://app.cochat.ai/papers/10.1007/978-3-319-48382-5_1
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Engin, A. (2017). The Definition and Prevalence of Obesity and Metabolic Syndrome. Advances in Experimental Medicine and Biology. https://doi.org/10.1007/978-3-319-48382-5_1

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