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  5. Dietary patterns, instant noodles intake, and cardiometabolic risk factors

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Article
en
2013

Dietary patterns, instant noodles intake, and cardiometabolic risk factors

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en
2013
Vol 27 (S1)
Vol. 27
DOI: 10.1096/fasebj.27.1_supplement.lb383

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Frank B Hu
Frank B Hu

Harvard University

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Hyun Joon Shin
Eunyoung Cho
Hae‐Jung Lee
+5 more

Abstract

To find the relationship between dietary patterns, instant noodles and cardiometabolic risk, we analyzed 10,711 adults (females 54.5%) between 19–64 years of age in the Korean National Health and Nutrition Examination cross‐sectional Survey (KNHANES) IV 2007–2009. A “meat and fast food pattern”(MP) rich in intakes of meat, soda, fried food, and fast food including instant noodles and a “traditional pattern”(TP) rich in intakes of fruit, vegetables, and fish were identified with principal component analysis. The highest MP quintile was associated with higher odds for abdominal obesity(OR:1.41, 95% CI 1.05–1.90), LDL≥130mg/dL(OR:1.57, 95% CI 1.26–1.95), lower odds for low HDL(OR:0.64, 95% CI 0.52–0.78), and TG≥150mg/dL(OR:0.73, 95% CI 0.57–0.93), but was not associated with metabolic syndrome. The highest TP quintile was associated with lower odds for elevated blood pressure(OR:0.73, 95% CI 0.59–0.90), marginally lower trends of abdominal obesity(p trend 0.055) and in males, was associated with lower trend of metabolic syndrome (p trend 0.049). Two or more servings/week consumption of instant noodles was associated with a higher odds for metabolic syndrome (OR:1.68, 95% CI 1.10–2.55)in females, but not in males(p for interaction 0.04). In conclusion, instant noodles were associated with metabolic syndrome independent of major dietary patterns especially in females.

How to cite this publication

Hyun Joon Shin, Eunyoung Cho, Hae‐Jung Lee, Teresa T. Fung, Eric B. Rimm, Bernard Rosner, JoAnn E. Manson, Frank B Hu (2013). Dietary patterns, instant noodles intake, and cardiometabolic risk factors. , 27(S1), DOI: https://doi.org/10.1096/fasebj.27.1_supplement.lb383.

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Publication Details

Type

Article

Year

2013

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1096/fasebj.27.1_supplement.lb383

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