Food intake patterns and cardiovascular risk factors in Japanese adults: analyses from the 2012 National Health and nutrition survey, Japan.

Nay Chi Htun, Hitomi Suga, Shino Imai, Wakana Shimizu, Hidemi Takimoto
Author Information
  1. Nay Chi Htun: Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
  2. Hitomi Suga: Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
  3. Shino Imai: Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
  4. Wakana Shimizu: Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
  5. Hidemi Takimoto: Department of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan. thidemi@nibiohn.go.jp.

Abstract

BACKGROUND: There is an increasing global interest in the role of Japanese diet as a possible explanation for the nation's healthy diet, which contributes to the world's highest life-expectancy enjoyed in Japan. However, nationwide studies on current food intake status among general Japanese population have not been established yet. This study examined the association between food intake patterns and cardiovascular risk factors (CVRF) such as waist circumference (WC), body mass index (BMI), blood pressure (SBP, DBP), HbA1c and blood lipid profiles among general Japanese adults.
METHODS: De-identified data on the Japan National Health and Nutrition Survey (NHNS) 2012 with a total of 11,365 subjects aged 20-84 years were applied. Food intake patterns were derived by principal component analysis (PCA) based on 98 food groups. Generalized linear regression analysis was used to assess the relation between the food intake patterns and CVRF.
RESULTS: We identified three food intake patterns: traditional Japanese, Westernized, and meat and fat patterns. Traditional Japanese pattern was significantly related to high WC and BMI in men, and high DBP in women. Westernized pattern was associated with lower SBP, but high total cholesterol and LDL cholesterol in both men and women. Meat and fat pattern was associated with high WC, high BMI, high blood pressure and blood lipid profiles in both men and women (trend P < 0.001).
CONCLUSION: The significant association between cardiovascular disease risks and three food intake patterns derived from the NHNS, showed a similar tendency to other dietary survey methods.

Keywords

References

  1. Int J Epidemiol. 2015 Oct;44(5):1614-24 [PMID: 26182938]
  2. J Physiol Biochem. 2016 Mar;72(1):93-106 [PMID: 26634368]
  3. Nutr Metab Cardiovasc Dis. 2013 Jun;23(6):528-35 [PMID: 22534653]
  4. Circulation. 2015 Sep 29;132(13):1270-82 [PMID: 26408271]
  5. Clin Nutr. 2016 Aug;35(4):885-91 [PMID: 26140958]
  6. Exp Clin Cardiol. 2005 Winter;10(4):229-49 [PMID: 19641674]
  7. Br J Nutr. 2010 Jul;104(2):265-75 [PMID: 20187997]
  8. Curr Opin Cardiol. 2013 Sep;28(5):561-8 [PMID: 23928921]
  9. Am J Clin Nutr. 2003 May;77(5):1156-63 [PMID: 12716666]
  10. Am J Clin Nutr. 2009 Sep;90(3):647-54 [PMID: 19625679]
  11. Int J Epidemiol. 2007 Jun;36(3):600-9 [PMID: 17317693]
  12. Am J Clin Nutr. 2015 Aug;102(2):309-15 [PMID: 26135349]
  13. Am J Clin Nutr. 2010 Aug;92(2):398-407 [PMID: 20592131]
  14. BMJ. 2016 Mar 22;352:i1209 [PMID: 27005903]
  15. Arch Intern Med. 2008 Apr 14;168(7):713-20 [PMID: 18413553]
  16. Am J Clin Nutr. 2010 Nov;92(5):1189-96 [PMID: 20810976]
  17. N Engl J Med. 2013 Sep 5;369(10):954-64 [PMID: 24004122]
  18. Nutr Res Pract. 2013 Jun;7(3):224-32 [PMID: 23766884]
  19. World Health Organ Tech Rep Ser. 2003;916:i-viii, 1-149, backcover [PMID: 12768890]
  20. Nutrients. 2015 Apr 02;7(4):2359-81 [PMID: 25849946]
  21. PLoS One. 2014 Nov 03;9(11):e111593 [PMID: 25365577]
  22. Am J Clin Nutr. 2008 Aug;88(2):289-97 [PMID: 18689363]
  23. Public Health Nutr. 2001 Oct;4(5):989-97 [PMID: 11784412]
  24. Curr Opin Cardiol. 2010 Sep;25(5):490-6 [PMID: 20625280]
  25. J Atheroscler Thromb. 2011;18(2):83-8 [PMID: 21307610]
  26. Int J Obes Relat Metab Disord. 2001 Dec;25(12):1741-51 [PMID: 11781753]
  27. Cochrane Database Syst Rev. 2013 Aug 12;(8):CD009825 [PMID: 23939686]
  28. Curr Opin Lipidol. 2002 Feb;13(1):3-9 [PMID: 11790957]
  29. Nutr Metab (Lond). 2013 Mar 27;10(1):30 [PMID: 23537319]
  30. Ann Med. 2013 Nov;45(7):467-73 [PMID: 23855880]
  31. Nutr Clin Pract. 2008 Oct-Nov;23(5):468-76 [PMID: 18849551]
  32. PLoS One. 2015 Aug 05;10(8):e0134294 [PMID: 26244510]
  33. N Engl J Med. 2013 Aug 15;369(7):676-7 [PMID: 23944307]
  34. Int J Epidemiol. 2015 Dec;44(6):1842-9 [PMID: 26239276]
  35. Public Health Nutr. 2002 Aug;5(4):567-87 [PMID: 12186666]
  36. BMC Public Health. 2011 Dec 14;11:925 [PMID: 22168909]
  37. Am J Clin Nutr. 2003 Sep;78(3 Suppl):544S-551S [PMID: 12936948]
  38. JAMA Intern Med. 2014 Apr;174(4):577-87 [PMID: 24566947]
  39. Clin Interv Aging. 2007;2(1):109-15 [PMID: 18044083]
  40. J Am Heart Assoc. 2015 Jul 29;4(8):e001959 [PMID: 26224048]
  41. J Clin Invest. 1990 Jan;85(1):144-51 [PMID: 2104877]
  42. J Am Coll Nutr. 2009 Feb;28 Suppl 1:103S-19S [PMID: 19571168]
  43. J Epidemiol. 2008;18(2):58-67 [PMID: 18403855]
  44. Intern Med. 2015;54(8):903-10 [PMID: 25876570]
  45. J Med Invest. 2014;61(3-4):333-44 [PMID: 25264052]
  46. Circulation. 2008 Jul 15;118(3):230-7 [PMID: 18574045]
  47. Eur J Epidemiol. 2000;16(10):963-71 [PMID: 11338129]
  48. Obes Rev. 2012 Nov;13(11):1048-66 [PMID: 22905670]
  49. Eur J Clin Nutr. 2010 Aug;64(8):853-61 [PMID: 20517326]

MeSH Term

Adult
Aged
Aged, 80 and over
Asian People
Blood Pressure
Body Mass Index
Cardiovascular Diseases
Cholesterol
Cross-Sectional Studies
Diet, Healthy
Dietary Carbohydrates
Dietary Fats
Dietary Fiber
Dietary Proteins
Glycated Hemoglobin
Humans
Japan
Micronutrients
Middle Aged
Nutrition Assessment
Nutrition Surveys
Prevalence
Principal Component Analysis
Surveys and Questionnaires
Triglycerides
Waist Circumference
Young Adult

Chemicals

Dietary Carbohydrates
Dietary Fats
Dietary Fiber
Dietary Proteins
Glycated Hemoglobin A
Micronutrients
Triglycerides
Cholesterol

Word Cloud

Created with Highcharts 10.0.0intakeJapanesefoodpatternshighbloodpatternJapancardiovascularriskfactorsWCBMIpressurelipidprofilesNationalHealthNHNSFoodmenwomensurveydietamonggeneralassociationCVRFSBPDBP2012totalderivedanalysisthreeWesternizedfatassociatedcholesterolnutritionBloodBACKGROUND:increasingglobalinterestrolepossibleexplanationnation'shealthycontributesworld'shighestlife-expectancyenjoyedHowevernationwidestudiescurrentstatuspopulationestablishedyetstudyexaminedwaistcircumferencebodymassindexHbA1cadultsMETHODS:De-identifieddataNutritionSurvey11365subjectsaged20-84 yearsappliedprincipalcomponentPCAbased98groupsGeneralizedlinearregressionusedassessrelationRESULTS:identifiedpatterns:traditionalmeatTraditionalsignificantlyrelatedlowerLDLMeattrendP < 0001CONCLUSION:significantdiseaserisksshowedsimilartendencydietarymethodsadults:analysesCardiovascular

Similar Articles

Cited By