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중년 여성의 혈당수준에 따른 영양상태 및 식이염증지수의 융합적 관련성 평가: 2013-2018 국민건강영양조사 자료 이용
Evaluation of the Relevance of Nutritional Status and Dietary Inflammation Index to Blood Glucose Levels in Middle-aged Women: in terms of 2013-2018's Korean National Health and Nutrition Survey Data 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.12 no.7, 2021년, pp.69 - 82  

박필숙 (경북대학교 식품영양학과 및 장수생활과학연구소) ,  안토니키됴 (경북대학교 식품영양학과) ,  박미연 (경상국립대학교 식품영양학과)

초록
AI-Helper 아이콘AI-Helper

본 연구는 국민건강영양조사 원시자료를 활용하여 혈당수준에 따른 영양상태와 식이염증지수와의 관련성을 확인하기 위해 중년여성 4,572명을 대상으로 이루어진 연구이다. 데이터는 SPSS Win 25.0 프로그램의 복합표본분석 기능의 교차분석, 일반선형모형, 로지스틱 회귀모형 등으로 분석하였으며, 결과는 다음과 같다. 혈당이 높은군(정상혈당군→당뇨군)의 대상자일수록 비만율과 혈중 TG/HDL-콜레스테롤 비율이 높게 나타난 반면 평균영양소 적정섭취비(10 종)와 두류, 종실류, 버섯류, 과일류 등의 항염증식이의 섭취량은 낮았다. 또한 식이염증지수에 대한 혈당과의 관련성 결과는, 당뇨경계 및 당뇨병의 위험도가 항염증식이 Q1에 비해 친염증식이 Q5에서 유의하게 높았다. 따라서 중년여성의 혈당 개선을 위해서는 다양한 식품의 섭취를 강조하는 교육이 효과적으로 이루어져야 함을 제안한다.

Abstract AI-Helper 아이콘AI-Helper

This study targeted 4,572 middle-aged women to examine the relationship between nutritional status and dietary inflammatory index according to blood glucose level using data from the Korean National Health and Nutrition Examination Survey (KNHANES). Data were analyzed using complex survey chi-square...

주제어

표/그림 (9)

참고문헌 (43)

  1. GBD 2016 Causes of Death Collaborators. (2017). Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet, 390, 1-59. DOI : 10.1016/S0140-6736(17)32152-9 

  2. J. M. Bennett, G. Reeves, G. E. Billman & J. P. Sturmberg. (2018). Inflammation-Nature's way to efficiently respond to all types of challenges: Implications for understanding and managing "the Epidemic" of chronic diseases. Front. Med, 27(5), 1-30. DOI : 10.3389/fmed.2018.00316 

  3. G. S. Hotamisligil. (2017). Inflammation, metaflammation and immunometabolic disorders. Nature, 542, 1-8. DOI : 10.1038/nature21363. 

  4. P. C. Calder et al. (2011). Dietary factors and low-grade inflammation in relation to overweight and obesity. Br. J. Nutr, 106(S3), 1-73. DOI : 10.1017/S0007114511005460 

  5. N. Shivappa, S. E. Steck, T. G. Hurley, J. R. Hussey & J. R. Hebert. (2014). Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr, 17(8), 1-7. DOI : 10.1017/S1368980013002115 

  6. C. Julia et al. (2017). Long-term associations between inflammatory dietary scores in relation to long-term C-reactive protein status measured 12 years later: findings from the Supplementation en Vitamines et Mineraux Antioxydants (SU. VI. MAX) cohort. Br J Nutr, 117(2), 1-8. DOI : 10.1017/S0007114517000034 

  7. N. Shivappa, C. Bosetti, A. Zucchetto, D. Serraino, C. La. Vecchia & J. R. Hebert. (2014). Dietary inflammatory index and risk of pancreatic cancer in an Italian case-control study. Br J Nutr, 113(2), 1-6. DOI : 10.1017/S0007114514003626 

  8. M. Wirth et al. (2014). Association of a dietary inflammatory index with inflammatory indices and metabolic syndrome among police officers. J Occup Environ Med, 56(9), 1-3. DOI : 10.1097/JOM.0000000000000213 

  9. T. N. Akbaraly et al. (2016). Dietary inflammatory index and recurrence of depressive symptoms: Results from the Whitehall II Study. Clin Psychol Sci, 4(6), 1-9. DOI : 10.1177/2167702616645777 

  10. E. Denova-Gutierrez et al. (2018). Dietary inflammatory index and Type 2 diabetes mellitus in adults: The diabetes mellitus survey of Mexico City. Nutrients, 10(4), 1-15. DOI : 10.3390/nu10040385 

  11. N. Shivappa, J. R. Hebert, M. Kivimaki & T. Akbaraly. (2017). Alternate Healthy Eating Index 2010, Dietary Inflammatory Index and risk of mortality: results from the Whitehall II cohort study and meta-analysis of previous dietary inflammatory index and mortality studies. Br J Nutr, 118(3), 1-11. DOI : 10.1017/S0007114517001908 

  12. L. Ferrucci, A. Cherubini, S. Bandinelli, B. Bartali, A. Corsi & F. Lauretani et al. (2006). Relationship of plasma polyunsaturated fatty acids to circulating inflammatory markers. J Clin Endocrinol Metab, 91(2), 1-7. DOI : 10.1210/jc.2005-1303 

  13. S. G. Wannamethee, G. D. Lowe, A. Rumley, K. R. Bruckdorfer & P. H. Whincup. (2006). Associations of vitamin C status, fruit and vegetable intakes, and markers of inflammation and hemostasis. Am J Clin Nutr, 83(3), 1-7. DOI : 10.1093/ajcn.83.3.567 

  14. D. E. King, A. G. Mainous 3rd, M. E. Geesey & R. F. Woolson. (2005). Dietary magnesium and C-reactive protein levels. J Am Coll Nutr, 24(3), 1-5. DOI : 10.1080/07315724.2005.10719461 

  15. A. Johansson-Persson, M. Ulmius, L. Cloetens, T. Karhu, K. H. Herzig & G. Onning. (2014). 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, 53, 1-9. DOI : 10.1007/s00394-013-0496-8 

  16. B. J. Willcox et al. (2007). Caloric restriction, the traditional Okinawan diet, and healthy aging: The diet of the world's longest-lived people and its potential impact on morbidity and life span. Ann N Y Acad Sci, 1114, 1-21. DOI : 10.1196/annals.1396.037 

  17. S. Vasto, C. Rizzo & C. Caruso. (2012). Centenarians and diet: what they eat in the Western part of Sicily. Immunity & Ageing, 9(10), 1-6. DOI : 10.1186/1742-4933-9-10 

  18. International Diabetes Federation. (2019). IDF diabetes atlas: 9th edition 2019. https://www.diabetesatlas.org/en 

  19. Korean Diabetes Association.(2020). Diabetes fact sheet in Korea. https://www.diabetes.or.kr/pro/news/admin.php 

  20. A. K. Imkampe & M. C. Gulliford. (2011). Increasing socio-economic inequality in type 2 diabetes prevalence-repeated cross-sectional surveys in England 1994-2006. Eur J Public Health, 21(4), 1-6. DOI : 10.1093/eurpub/ckq106 

  21. A. Espelt, A. E. Kunst, L. Palencia, R. Gnavi & C. Borrell. (2012). Twenty years of socio-economic inequalities in type 2 diabetes mellitus prevalence in Spain, 1987-2006. Eur J Public Health, 22(6), 1-6. DOI : 10.1093/eurpub/ckr158 

  22. R. M. van Dam. (2003). The epidemiology of lifestyle and risk for type 2 diabetes. Eur. J. Epidemiol. 18(12), 1-10. DOI : 10.1023/b:ejep.0000006612.70245.24 

  23. P. S. Park, J. K. Jeon, G. R. Kim & M. Y. Park. (2020). A convergence study on desired frequency of meat side dishes and preference of fish side dishes in school meals of high school girls in coastal cities. Journal of the Korea Convergence Society, 11(1), 1-10. DOI : 10.15207/JKCS.2020.11.1.065 

  24. M. Y Park, C. Y. Ding & P. S. Park. (2017). Comparison of factors influencing change stages in balanced diet among female university students in Korea and China. Korean J Community Living Sci, 28(1), 1-13. DOI : 10.7856/kjcls.2017.28.1.45 

  25. P. S. Park, Q. H. Liu, G. R. Kim & M. Y. Park. (2020). Convergence study between determinants of delivery food and eating habits in adults in their 20s to 30s. Journal of the Korea Convergence Society, 11(6), 1-12. DOI : 10.15207/JKCS.2020.11.6.105 

  26. M. Y. Park & P. S. Park. (2016). Factors related to eating habits and nutrition status of mother affecting on body mass index of children aged 1-5years: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011. Korean J Community Nutr, 21(1), 1-9. DOI : 10.5720/kjcn.2016.21.1.102 

  27. M. Y. Park & P. S. Park. (2016). Factors affecting the frequency of skipping meals of prime-aged mothers with children : Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011. Korean J Community Nutr, 21(5), 1-11. DOI : 10.5720/kjcn.2016.21.5.451 

  28. S. A. Shin, S. A. Kim, J. W. Ha & K. J. Lim. (2018). Sugar-sweetened beverage consumption in relation to obesity and metabolic syndrome among Korean adults: a cross-sectional study from the 2012-2016 Korean national health and nutrition examination survey (KNHANES). Nutrients, 10(10), 1-13. DOI : 10.3390/nu10101467 

  29. Ministry of Health and Welfare, The Korean Nutrition Society. (2020). Dietary reference intakes for Koreans 2020. http://www.kns.or.kr/FileRoom/FileRoom_view.asp?idx108&BoardIDKdr 

  30. R. S. Gibson. (1990). Principles of Nutritional Assessment. Oxford University Press, New York, p 143. 

  31. R. G. Hansen. (1973). An index of food quality. Nutr Rev, 31(1), 1-7. 

  32. E. Agardh, P. Allebeck, J. Hallqvist, T. Moradi & A. Sidorchuk. (2011). Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis. International Journal of Epidemiology, 40(3), 1-14. DOI : 10.1093/ije/dyr029 

  33. A. Espelt, L. Arriola, C. Borrell, I. Larranaga, M. Sandin & A. Escolar-Pujolar. (2011). Socioeconomic position and type 2 diabetes mellitus in Europe 1999-2009: a panorama of inequalities. Current Diabetes Reviews, 7(3), 148-158. DOI : 10.2174/157339911795843131 

  34. J. Hwang & C. Shon. (2014). Relationship between socioeconomic status and type 2 diabetes: results from Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2012. BMJ Open, 4(e005710). DOI : 10.1136/bmjopen-2014-005710 

  35. A. R. Weinstein et al. (2004). Relationship of physical activity vs body mass index with type 2 diabetes in women. JAMA, 292(10), 1188-1194. DOI : 10.1001/jama.292.10.1188 

  36. F. B. Hu et al. (2001). Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N. Engl. J. Med, 345(11), 1-7. DOI : 10.1056/NEJMoa010492 

  37. V. J. Carey et al. (1997). Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses' Health Study. Am. J. Epidemiol. 145(7), 1-5. DOI : 10.1093/oxfordjournals.aje.a009158 

  38. Korean Society for the Study of Obesity. (2014). Clinical practice guideline for obesity. http://general.kosso.or.kr/html/ 

  39. T. McLaughlin, F. Abbasi, K. Cheal, J. Chu, C. Lamendola & G. Reaven. (2003). Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern Med 139(10), 1-7. DOI :10.7326/0003-4819-139-10-200311180-00007 

  40. M. B Schulze, S. Liu, E. B. Rimm, J. E. Manson, W. C. Willett & F. B. Hu. (2004). Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am. J. Clin. Nutr. 80(2), 1-8. DOI : 10.1093/ajcn/80.2.348 

  41. A. G. Pittas et al. (2006). Vitamin D and calcium intake in relation to type 2 diabetes in women. Diabetes Care, 29(3), 1-6. DOI : 10.2337/diacare.29.03.06.dc05-1961 

  42. P. Carter, L. J. Gray, J. Troughton, K. Khunti & M. J. Davies. (2010). Fruit and vegetable intake and incidence of Type 2 diabetes mellitus: systematic review and meta-analysis. BMJ, 341, c4229. DOI : 10.1136/bmj.c4229 

  43. M. Y. Park, J. H. Kwon, D. J. Lee, E. K. Cho & P. S. Park. (2004). A study on the dietary attitudes and nutritional status of lifestyle disease patients living on Tongyoung City. Korean J Health Promot Dis Prev, 4(3), 1-10. 

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