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Development of a food-based index of dietary inflammatory potential for Koreans and its relationship with metabolic syndrome

Na, Woori;Yu, Tae Yang;Sohn, Cheongmin

  • Received : 2018.06.26
  • Accepted : 2019.02.13
  • Published : 2019.04.01

Abstract

BACKGROUND/OBJECTIVES: Inflammation is known to be a risk factor for metabolic diseases. This study aimed to develop a Food-based Index of Dietary Inflammatory Potential (FBDI) and examine its association with metabolic biomarkers. SUBJECTS/METHODS: This study analyzed the raw data from the 2012-2014 Korean Genome and Epidemiology Study data of 17,771 people. To analyze the relationship between foods consumed by Koreans and inflammation, we conducted a correlation analysis between 51 food groups and hs-CRP levels. The FBDI was developed from 17 food groups selected by multiple regression method. We examined whether FBDI was associated with metabolic markers (waist circumference, blood pressure, fasting glucose, triglyceride, and HDL-cholesterol) in the 6th Korea National Health and Nutrition Examination Survey (KNHANES). We used binary logistic regression analysis to examine the association. RESULTS: The FBDI model included seven of the anti-inflammatory food groups and three of the pro-inflammatory food groups. The FBDI formula was calculated by multiplying the intake of food group by ${\beta}$-coefficients derived from the multiple regression model based on the correlation analysis. The FBDI was significantly associated with waist circumference (P < 0.001), blood pressure (P < 0.001), triglyceride level (P < 0.001), and HDL-cholesterol (P < 0.001) level among adults aged 20-64 years in the KNHANES. The prevalence of metabolic syndrome was 2.618 times higher in the group with the highest FBDI than in the group with the lowest one (95% confidence interval: 1.778-3.856, P for trend < 0.001). CONCLUSIONS: This study established an FBDI reflecting food intake patterns of Koreans, which showed a significant relationship with the prevalence of metabolic syndrome.

Keywords

Inflammation;diet;Korea;metabolic syndrome

References

  1. Zhu S, St-Onge MP, Heshka S, Heymsfield SB. Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism 2004;53:1503-11. https://doi.org/10.1016/j.metabol.2004.04.017
  2. Hoffmann IS, Cubeddu LX. Salt and the metabolic syndrome. Nutr Metab Cardiovasc Dis 2009;19:123-8. https://doi.org/10.1016/j.numecd.2008.02.011
  3. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 2010;87:4-14. https://doi.org/10.1016/j.diabres.2009.10.007
  4. Lim S, Shin H, Song JH, Kwak SH, Kang SM, Won Yoon J, Choi SH, Cho SI, Park KS, Lee HK, Jang HC, Koh KK. Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007. Diabetes Care 2011;34:1323-8. https://doi.org/10.2337/dc10-2109
  5. Tran BT, Jeong BY, Oh JK. The prevalence trend of metabolic syndrome and its components and risk factors in Korean adults: results from the Korean National Health and Nutrition Examination Survey 2008-2013. BMC Public Health 2017;17:71. https://doi.org/10.1186/s12889-016-3936-6
  6. Korea Insurance Research Institute. KIRI Research Report. Strengthening the protection of national health insurance through efficient expenditure of medical expenses [Internet]. Seoul: Korea Insurance Research Institute; 2017 [cited 2018 April 10]. Available from: http://www.kiri.or.kr/html/reportList.asp?part=report.
  7. Danesh J, Wheeler JG, Hirschfield GM, Eda S, Eiriksdottir G, Rumley A, Lowe GD, Pepys MB, Gudnason V. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med 2004;350:1387-97. https://doi.org/10.1056/NEJMoa032804
  8. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F; Centers for Disease Control and Prevention; American Heart Association. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 2003;107:499-511. https://doi.org/10.1161/01.CIR.0000052939.59093.45
  9. Kitabchi AE, McDaniel KA, Wan JY, Tylavsky FA, Jacovino CA, Sands CW, Nyenwe EA, Stentz FB. Effects of high-protein versus highcarbohydrate diets on markers of ${\beta}$-cell function, oxidative stress, lipid peroxidation, proinflammatory cytokines, and adipokines in obese, premenopausal women without diabetes: a randomized controlled trial. Diabetes Care 2013;36:1919-25. https://doi.org/10.2337/dc12-1912
  10. Ferrucci L, Cherubini A, Bandinelli S, Bartali B, Corsi A, Lauretani F, Martin A, Andres-Lacueva C, Senin U, Guralnik JM. Relationship of plasma polyunsaturated fatty acids to circulating inflammatory markers. J Clin Endocrinol Metab 2006;91:439-46. https://doi.org/10.1210/jc.2005-1303
  11. Ma Y, Griffith JA, Chasan-Taber L, Olendzki BC, Jackson E, Stanek EJ 3rd, Li W, Pagoto SL, Hafner AR, Ockene IS. Association between dietary fiber and serum C-reactive protein. Am J Clin Nutr 2006;83:760-6. https://doi.org/10.1093/ajcn/83.4.760
  12. Bertran N, Camps J, Fernandez-Ballart J, Arija V, Ferre N, Tous M, Simo D, Murphy MM, Vilella E, Joven J. Diet and lifestyle are associated with serum C-reactive protein concentrations in a population-based study. J Lab Clin Med 2005;145:41-6. https://doi.org/10.1016/j.lab.2004.11.002
  13. Wannamethee SG, Lowe GD, Rumley A, Bruckdorfer KR, Whincup PH. Associations of vitamin C status, fruit and vegetable intakes, and markers of inflammation and hemostasis. Am J Clin Nutr 2006;83:567-74. https://doi.org/10.1093/ajcn.83.3.567
  14. Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 2006;84:1489-97. https://doi.org/10.1093/ajcn/84.6.1489
  15. Lutsey PL, Jacobs DR Jr, Kori S, Mayer-Davis E, Shea S, Steffen LM, Szklo M, Tracy R. Whole grain intake and its cross-sectional association with obesity, insulin resistance, inflammation, diabetes and subclinical CVD: the MESA study. Br J Nutr 2007;98:397-405. https://doi.org/10.1017/S0007114507700715
  16. Esposito K, Marfella R, Ciotola M, Di Palo C, Giugliano F, Giugliano G, D'Armiento M, D'Andrea F, Giugliano D. Effect of a mediterranean-style diet on endothelial dysfunction and markers of vascular inflammation in the metabolic syndrome: a randomized trial. JAMA 2004;292:1440-6. https://doi.org/10.1001/jama.292.12.1440
  17. Johansson-Persson A, Ulmius M, Cloetens L, Karhu T, Herzig KH, Onning G. A high intake of dietary fiber influences C-reactive protein and fibrinogen, but not glucose and lipid metabolism, in mildly hypercholesterolemic subjects. Eur J Nutr 2014;53:39-48. https://doi.org/10.1007/s00394-013-0496-8
  18. Shivappa N, Steck SE, Hurley TG, Hussey JR, Hebert JR. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 2014;17:1689-96. https://doi.org/10.1017/S1368980013002115
  19. Shivappa N, Steck SE, Hussey JR, Ma Y, Hebert JR. Inflammatory potential of diet and all-cause, cardiovascular, and cancer mortality in National Health and Nutrition Examination Survey III Study. Eur J Nutr 2017;56:683-92. https://doi.org/10.1007/s00394-015-1112-x
  20. Kim M, Sohn C. Analysis of dietary inflammatory index of metabolic syndrome in Korean: data from the health examinee cohort (2012-2014). Korean J Hum Ecol 2016;25:823-34. https://doi.org/10.5934/kjhe.2016.25.6.823
  21. Garcia-Arellano A, Ramallal R, Ruiz-Canela M, Salas-Salvado J, Corella D, Shivappa N, Schroder H, Hebert JR, Ros E, Gomez-Garcia E, Estruch R, Lapetra J, Aros F, Fiol M, Serra-Majem L, Pinto X, Babio N, Gonzalez JI, Fito M, Martinez JA, Martinez-Gonzalez MA; Predimed Investigators. Dietary inflammatory index and incidence of cardiovascular disease in the PREDIMED study. Nutrients 2015;7:4124-38. https://doi.org/10.3390/nu7064124
  22. Ramallal R, Toledo E, Martinez-Gonzalez MA, Hernandez-Hernandez A, Garcia-Arellano A, Shivappa N, Hebert JR, Ruiz-Canela M. Dietary inflammatory index and incidence of cardiovascular disease in the SUN Cohort. PLoS One 2015;10:e0135221. https://doi.org/10.1371/journal.pone.0135221
  23. Neufcourt L, Assmann KE, Fezeu LK, Touvier M, Graffouillere L, Shivappa N, Hebert JR, Wirth MD, Hercberg S, Galan P, Julia C, Kesse-Guyot E. Prospective association between the dietary inflammatory index and cardiovascular diseases in the SUpplementation en VItamines et Mineraux AntioXydants (SU.VI.MAX) cohort. J Am Heart Assoc 2016;5:e002735.
  24. Tabung FK, Smith-Warner SA, Chavarro JE, Wu K, Fuchs CS, Hu FB, Chan AT, Willett WC, Giovannucci EL. Development and validation of an empirical dietary inflammatory index. J Nutr 2016;146:1560-70. https://doi.org/10.3945/jn.115.228718
  25. Na W, Kim M, Park S, Lee M, Sohn C. Development and validation of Korean Inflammtory Index (K-DII) for metabolic disease patients: by using the Health Examinee Cohort (2012-2014). Korean J Hum Ecol 2017;26:369-81. https://doi.org/10.5934/kjhe.2017.26.4.369
  26. Kim Y, Han BG; KoGES group. Cohort Profile: the Korean Genome and Epidemiology Study (KoGES) Consortium. Int J Epidemiol 2017;46:1350. https://doi.org/10.1093/ije/dyx105
  27. Vainio H, Bianchini F. IARC Handbooks of Cancer Prevention, Volume 8. Fruit and Vegetables. Lyon: IARC Press; 2003.
  28. Linseisen J, Kesse E, Slimani N, Bueno-De-Mesquita HB, Ocke MC, Skeie G, Kumle M, Dorronsoro Iraeta M, Morote Gomez P, Janzon L, Stattin P, Welch AA, Spencer EA, Overvad K, Tjonneland A, Clavel-Chapelon F, Miller AB, Klipstein-Grobusch K, Lagiou P, Kalapothaki V, Masala G, Giurdanella MC, Norat T, Riboli E. Meat consumption in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts: results from 24-hour dietary recalls. Public Health Nutr 2002;5:1243-58. https://doi.org/10.1079/PHN2002402
  29. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112:2735-52. https://doi.org/10.1161/CIRCULATIONAHA.105.169404
  30. Oliveira A, Rodriguez-Artalejo F, Lopes C. The association of fruits, vegetables, antioxidant vitamins and fibre intake with highsensitivity C-reactive protein: sex and body mass index interactions. Eur J Clin Nutr 2009;63:1345-52. https://doi.org/10.1038/ejcn.2009.61
  31. Chun OK, Chung SJ, Claycombe KJ, Song WO. Serum C-reactive protein concentrations are inversely associated with dietary flavonoid intake in U.S. adults. J Nutr 2008;138:753-60. https://doi.org/10.1093/jn/138.4.753
  32. Esmaillzadeh A, Azadbakht L. Legume consumption is inversely associated with serum concentrations of adhesion molecules and inflammatory biomarkers among Iranian women. J Nutr 2012;142:334-9. https://doi.org/10.3945/jn.111.146167
  33. Bonaccio M, Di Castelnuovo A, De Curtis A, Costanzo S, Bracone F, Persichillo M, Donati MB, de Gaetano G, Iacoviello L; Moli-sani Project investigators. Nut consumption is inversely associated with both cancer and total mortality in a Mediterranean population: prospective results from the Moli-sani study. Br J Nutr 2015;114:804-11. https://doi.org/10.1017/S0007114515002378
  34. Yu Z, Malik VS, Keum N, Hu FB, Giovannucci EL, Stampfer MJ, Willett WC, Fuchs CS, Bao Y. Associations between nut consumption and inflammatory biomarkers. Am J Clin Nutr 2016;104:722-8. https://doi.org/10.3945/ajcn.116.134205
  35. Zuniga YL, Rebello SA, Oi PL, Zheng H, Lee J, Tai ES, Van Dam RM. Rice and noodle consumption is associated with insulin resistance and hyperglycaemia in an Asian population. Br J Nutr 2014;111:1118-28. https://doi.org/10.1017/S0007114513003486
  36. Yamashita K, Yatsuya H, Muramatsu T, Toyoshima H, Murohara T, Tamakoshi K. Association of coffee consumption with serum adiponectin, leptin, inflammation and metabolic markers in Japanese workers: a cross-sectional study. Nutr Diabetes 2012;2:e33.
  37. Je Y, Jeong S, Park T. Coffee consumption patterns in Korean adults: the Korean National Health and Nutrition Examination Survey (2001-2011). Asia Pac J Clin Nutr 2014;23:691-702.
  38. Shon JK. The effect of cognition at regional area on image, attitude & intention of behavior - focus on Korea food consumer behavior. J Foodserv Manag 2011;14:321-36.
  39. Kim WY, Kim JE, Choi YJ, Huh KB. Nutritional risk and metabolic syndrome in Korean type 2 diabetes mellitus. Asia Pac J Clin Nutr 2008;17 Suppl 1:47-51.
  40. Song SJ, Lee JE, Paik HY, Park MS, Song YJ. Dietary patterns based on carbohydrate nutrition are associated with the risk for diabetes and dyslipidemia. Nutr Res Pract 2012;6:349-56. https://doi.org/10.4162/nrp.2012.6.4.349
  41. Ghayour-Mobarhan M, Yaghootkar H, Lanham-New SA, Lamb DJ, Ferns GA. Association between serum CRP concentrations with dietary intake in healthy and dyslipidaemic patients. Asia Pac J Clin Nutr 2007;16:262-8.
  42. Kim M, Kim J, Bae W, Kim S, Lee Y, Na W, Sohn C. Relationship between nutrients intakes, dietary quality, and serum concentrations of inflammatory markers in metabolic syndrome patients. Korean J Community Nutr 2011;16:51-61. https://doi.org/10.5720/kjcn.2011.16.1.51
  43. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14 719 initially healthy American women. Circulation 2003;107:391-7. https://doi.org/10.1161/01.CIR.0000055014.62083.05
  44. Santos AC, Lopes C, Guimaraes JT, Barros H. Central obesity as a major determinant of increased high-sensitivity C-reactive protein in metabolic syndrome. Int J Obes 2005;29:1452-6. https://doi.org/10.1038/sj.ijo.0803035
  45. Indulekha K, Surendar J, Mohan V. High sensitivity C-reactive protein, tumor necrosis factor-${\alpha}$, interleukin-6, and vascular cell adhesion molecule-1 levels in Asian Indians with metabolic syndrome and insulin resistance (CURES-105). J Diabetes Sci Technol 2011;5:982-8. https://doi.org/10.1177/193229681100500421
  46. Vu JD, Vu JB, Pio JR, Malik S, Franklin SS, Chen RS, Wong ND. Impact of C-reactive protein on the likelihood of peripheral arterial disease in United States adults with the metabolic syndrome, diabetes mellitus, and preexisting cardiovascular disease. Am J Cardiol 2005;96:655-8. https://doi.org/10.1016/j.amjcard.2005.04.038

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)