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Impact of fish consumption by subjects with prediabetes on the metabolic risk factors: using data in the 2015 (6th) Korea National Health and Nutrition Examination Surveys

  • Kim, Kyoung-yun (Department of Food and Nutrition, Chonnam National University) ;
  • Park, Jeong Seop (Department of Food Service and Culinary Management, Kyonggi University)
  • 투고 : 2018.01.25
  • 심사 : 2018.04.11
  • 발행 : 2018.06.01

초록

BACKGROUND/OBJECTIVES: The effects of fish consumption by subjects with prediabetes on the metabolic risk factors were examined based on the data from the $6^{th}$ Korea National Health and Nutrition Examination Surveys in 2015. SUBJECTS/METHODS: A total of 1,520 subjects who agreed to participate in a blood test and dietary intake survey were divided into a prediabetes group and normal blood glucose group, and the level of the subjects' fish consumption was divided into ${\leq}17.0g/day$, 18.0-93.0 g/day, and ${\geq}94g/day$. The correlation between the level of fish intake and the metabolic risk factors was evaluated by multinomial logistic regression analysis. RESULTS: A significant difference in the gender distribution was observed in the prediabetes group, which is a group with a high risk of non-communicable diseases, according to the fish intake, and there were significant differences in the total energy intake, protein intake, n-3 fatty acids intake, and the intakes of sodium and micro-nutrients according to the intake group (P < 0.05). In addition, the blood total cholesterol (TC) decreased 0.422 fold in model 1 (unadjusted) [95% confidence interval (CI): 0.211-0.845] and 0.422 fold in model 2 (adjusted for sex) (95% CI: 0.210-0.846) in those with a fish intake of 18.0-93.0 g/day (P < 0.05) compared to those with a fish intake of ${\leq}17.0g/day$. The blood TC decreased 0.555 fold (95% CI: 0.311-0.989) in model 1 and 0.549 fold (95% CI: 0.302-0.997) in model 2 in those with a fish intake of ${\geq}94g/day$ compared to those with a fish intake of ${\leq}17.0g/day$ (P < 0.05). CONCLUSION: Subjects with prediabetes or the metabolic risk factors can maintain their blood low density lipoprotein cholesterol (LDL-C) and blood TC concentrations at the optimal level by consuming fish (18.0-93.0 g/day).

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참고문헌

  1. Amihaesei IC, Chelaru L. Metabolic syndrome a widespread threatening condition; risk factors, diagnostic criteria, therapeutic options, prevention and controversies: an overview. Rev Med Chir Soc Med Nat Iasi 2014; 118: 896-900.
  2. Cornier MA, Dana Dabelea TL, Hernandez RC, Lindstrom AJ, Steig N, Stob R, Van Pelt HW, Robert HE. The metabolic syndrome. Endocr Rev 2008; 29: 777-822. https://doi.org/10.1210/er.2008-0024
  3. DeFronzo RA, Ferrannini E. Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care 1991; 14: 173-94.
  4. Reaven GM. Role of insulin resistance in human disease. Diabetes 1988; 37: 1595-607. https://doi.org/10.2337/diab.37.12.1595
  5. International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome [Internet]. Brussels: International Diabetes Federation; 2006 [cited 2016 December 25]. Available from: http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf.
  6. Zimmet P, Alberti K, Shaw J. Global and societal implications of the diabetes epidemic. Nature 2001; 414: 782-7. https://doi.org/10.1038/414782a
  7. Park E, Choi SJ, Lee HY. The prevalence of metabolic syndrome and related risk factors based on the KNHANES V 2010. J Agric Med Community Health 2013; 38: 1-13. https://doi.org/10.5393/JAMCH.2013.38.1.001
  8. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M; Finnish Diabetes Prevention Study Group. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001; 344: 1343-50. https://doi.org/10.1056/NEJM200105033441801
  9. Esposito K, Maiorino MI, Bellastella G, Panagiotakos DB, Giugliano D. Mediterranean diet for type 2 diabetes: cardiometabolic benefits. Endocrine 2017; 56: 27-32. https://doi.org/10.1007/s12020-016-1018-2
  10. Park YM, Steck SE, Fung TT, Zhang JH, Linda J, Han KD, Lee SH, Kwon SH, Merchant AT. Mediterranean diet, Dietary Approaches to Stop Hypertension (DASH) style diet, and metabolic health in US adults. Clin Nutr 2017; 36: 1301-9. https://doi.org/10.1016/j.clnu.2016.08.018
  11. Asemi Z, Samimi M, Tabassi Z, Shakeri H, Sabihi SS, Esmaillzadeh A. Effects of DASH diet on lipid profiles and biomarkers of oxidative stress in overweight and obese women with polycystic ovary syndrome: a randomized clinical trial. Nutrition 2014; 30: 1287-93. https://doi.org/10.1016/j.nut.2014.03.008
  12. Altorf-van der Kuil W, Engberink MF, Brink EJ, van Baak MA, Bakker SJ, Navis G, van t Veer P, Geleijnse JM Dietary protein and blood pressure: a systematic review. PLoS One 2010; 5: e12102. https://doi.org/10.1371/journal.pone.0012102
  13. Ard JD, Grambow SC, Liu D, Slentz CA, Kraus WE, Svetkey LP. The effect of the PREMIER interventions on insulin sensitivity. Diabetes Care 2004; 27: 340-7. https://doi.org/10.2337/diacare.27.2.340
  14. Ley SH, Hamdy O, Mohan V, Hu FB. Prevention and management of type 2 diabetes: dietary components and nutritional strategies. Lancet 2014; 383: 1999-2007. https://doi.org/10.1016/S0140-6736(14)60613-9
  15. Kastorini CM, Milionis HJ, Esposito K, Giugliano D, Goudevenos JA, Panagiotakos DB. The effect of Mediterranean diet on metabolic syndrome and its components: a meta-analysis of 50 studies and 534,906 individuals. J Am Coll Cardiol 2011;57:1299-313. https://doi.org/10.1016/j.jacc.2010.09.073
  16. Appel LJ, Sacks FM, Carey VJ, Obarzanek E, Swain JF, Miller ER, Conlin PR, Erlinger TP, Rosner BA, Laranjo NM. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA 2005; 294: 2455-64. https://doi.org/10.1001/jama.294.19.2455
  17. Wang C, Harris WS, Chung M. n-3 Fatty acids from fish or fish-oil supplements, but not alpha-linolenic acid, benefit cardiovascular disease outcomes in primary- and secondary-prevention studies: a systematic review. Am J Clin Nutr 2006; 84: 5-17. https://doi.org/10.1093/ajcn/84.1.5
  18. Hu FB, Bronner L, Willett WC. Fish and omega-3 fatty acid intake and risk of coronary heart disease in women. JAMA 2002; 287: 1815-21. https://doi.org/10.1001/jama.287.14.1815
  19. Mozaffarian D, Rimm EB. Fish intake, contaminants, and human health: evaluating the risks and the benefits. JAMA 2006; 296: 1885-99. https://doi.org/10.1001/jama.296.15.1885
  20. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2010;33 Suppl 1: S62-9. https://doi.org/10.2337/dc10-S062
  21. Kim J, Jo I. Grains, vegetables, and fish dietary pattern is inversely associated with the risk of metabolic syndrome in South Korean adults. J Am Diet Assoc 2011; 111: 1141-9. https://doi.org/10.1016/j.jada.2011.05.001
  22. Zaribaf F, Falahi F, Barak F, Heidari M, Keshteli AH, Yazdannik A, Esmaillzadeh A. Fish consumption is inversely associated with the metabolic syndrome. Eur J Clin Nutr 2014; 68: 474-80. https://doi.org/10.1038/ejcn.2014.5
  23. Slagter SN, van Waateringe RP, van Beek AP, van der Klauw MM, Wolffenbuttel BH, van Vliet-Ostaptchouk JV. Sex, BMI and age differences in metabolic syndrome: the Dutch Lifelines Cohort Study. Endocr Connect 2017; 6: 278-88. https://doi.org/10.1530/EC-17-0011
  24. Gerstein HC, Santaguida P, Raina P, Morrison KM, Balion C, Hunt D, Yazdi H, Booker L. Annual incidence and relative risk of diabetes in people with various categories of dysglycemia: a systematic overview and meta-analysis of prospective studies. Diabetes Res Clin Pract 2007; 78: 305-12. https://doi.org/10.1016/j.diabres.2007.05.004
  25. Sugimori H, Miyakawa M, Yoshida K, Izuno T, Takahashi E, Tanaka C, Nakamura K, Hinohara S. Health risk assessment for diabetes mellitus based on longitudinal analysis of MHTS database. J Med Syst 1998; 22: 27-32. https://doi.org/10.1023/A:1022650305109
  26. Ma D, Sakai H, Wakabayashi C, Kwon JS, Lee Y, Liu S, Wan Q, Sasao K, Ito K, Nishihara K, Wang P. The prevalence and risk factor control associated with noncommunicable diseases in China, Japan, and Korea. J Epidemiol 2017; 27: 568-73. https://doi.org/10.1016/j.je.2016.12.019
  27. Kawamori R. Diabetes trends in Japan. Diabetes Metab Res Rev 2002;18 Suppl 3:S9-13. https://doi.org/10.1002/dmrr.296
  28. Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, He J; China National Diabetes and Metabolic Disorders Study Group. Prevalence of diabetes among men and women in China. N Engl J Med 2010; 362: 1090-101. https://doi.org/10.1056/NEJMoa0908292
  29. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. 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 2001; 285: 2486-97. https://doi.org/10.1001/jama.285.19.2486
  30. The Korean Society of Lipidology and Atherosclerosis Executive Summary of the Korean Guideline for the Management of Dyslipidemia 3rd Version. Seoul: The Korean Society of Lipidology and Atherosclerosis; 2015.
  31. Kim MH, Kim MK, Choi BY, Shin YJ. Prevalence of the metabolic syndrome and its association with cardiovascular diseases in Korea. J Korean Med Sci 2004; 19: 195-201. https://doi.org/10.3346/jkms.2004.19.2.195
  32. Lee HJ, Kwon HS, Park YM, Chun HN, Choi YH, Ko SH. Waist circumference as a risk factor for metabolic syndrome in Korean adult; evaluation from 5 different criteria of metabolic syndrome. J Korean Diabetes Assoc 2005; 29: 48-56.
  33. Kim HM, Park J, Ryu SY, Kim J. The effect of menopause on the metabolic syndrome among Korean women: the Korean National Health and Nutrition Examination Survey, 2001. Diabetes Care 2007; 30:701-6. https://doi.org/10.2337/dc06-1400
  34. Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol 2010; 56: 1113-32. https://doi.org/10.1016/j.jacc.2010.05.034
  35. Akbaraly TN, Brunner EJ. Socio-demographic influences on trends of fish consumption during later adult life in the Whitehall II study. Br J Nutr 2008; 100: 1116-27. https://doi.org/10.1017/S0007114508971312
  36. Ministry of Health and Welfare (KR); The Korean Nutrition Society. Dietary Reference Intakes for Koreans 2015. Sejong: Ministry of Health and Welfare; 2016.
  37. Rural Development Administration (KR). Food Composition Table. 9th rev. ed. Wanju: Rural Development Administration; 2016.
  38. Salas-Salvado J, Martinez-Gonzalez MA, Bullo M, Ros E. The role of diet in the prevention of type 2 diabetes. Nutr Metab Cardiovasc Dis 2011; 21 Suppl 2: B32-48. https://doi.org/10.1016/j.numecd.2011.03.009
  39. Larsson SC, Orsini N. Fish consumption and the risk of stroke: a dose-response meta-analysis. Stroke 2011; 42: 3621-3. https://doi.org/10.1161/STROKEAHA.111.630319
  40. Rustan AC, Nossen JO, Christiansen EN, Drevon CA. Eicosapentaenoic acid reduces hepatic synthesis and secretion of triacylglycerol by decreasing the activity of acyl-coenzyme A:1,2-diacylglycerol acyltransferase. J Lipid Res 1988; 29: 1417-26.
  41. Clandinin MT, Cheema S, Field CJ, Garg ML, Venkatraman J, Clandinin TR. Dietary fat: exogenous determination of membrane structure and cell function. FASEB J 1991;5:2761-9. https://doi.org/10.1096/fasebj.5.13.1916101
  42. Feller SE, Gawrisch K. Properties of docosahexaenoic- acid-containing lipids and their influence on the function of rhodopsin. Curr Opin Struct Biol 2005;15:416-22. https://doi.org/10.1016/j.sbi.2005.07.002
  43. Mozaffarian D, Lemaitre RN, Kuller LH, Burke GL, Tracy RP, Siscovick DS; Cardiovascular Health Study. Cardiac benefits of fish consumption may depend on the type of fish meal consumed: the Cardiovascular Health Study. Circulation 2003;107:1372-7. https://doi.org/10.1161/01.CIR.0000055315.79177.16

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