Literature DB >> 17556701

Associations between markers of subclinical atherosclerosis and dietary patterns derived by principal components analysis and reduced rank regression in the Multi-Ethnic Study of Atherosclerosis (MESA).

Jennifer A Nettleton1, Lyn M Steffen, Matthias B Schulze, Nancy S Jenny, R Graham Barr, Alain G Bertoni, David R Jacobs.   

Abstract

BACKGROUND: The association between diet and cardiovascular disease (CVD) may be mediated partly through inflammatory processes and reflected by markers of subclinical atherosclerosis.
OBJECTIVE: We investigated whether empirically derived dietary patterns are associated with coronary artery calcium (CAC) and common and internal carotid artery intima media thickness (IMT) and whether prior information about inflammatory processes would increase the strength of the associations.
DESIGN: At baseline, dietary patterns were derived with the use of a food-frequency questionnaire, and inflammatory biomarkers, CAC, and IMT were measured in 5089 participants aged 45-84 y, who had no clinical CVD or diabetes, in the Multi-Ethnic Study of Atherosclerosis. Dietary patterns based on variations in C-reactive protein, interleukin-6, homocysteine, and fibrinogen concentrations were created with reduced rank regression (RRR). Dietary patterns based on variations in food group intake were created with principal components analysis (PCA).
RESULTS: The primary RRR (RRR 1) and PCA (PCA factor 1) dietary patterns were high in total and saturated fat and low in fiber and micronutrients. However, the food sources of these nutrients differed between the dietary patterns. RRR 1 was positively associated with CAC [Agatston score >0: OR (95% CI) for quartile 5 compared with quartile 1 = 1.34 (1.05, 1.71); ln(Agatston score = 1): P for trend = 0.023] and with common carotid IMT [>or=1.0 mm: OR (95% CI) for quartile 5 compared with quartile 1 = 1.33 (0.99, 1.79); ln(common carotid IMT): P for trend = 0.006]. PCA 1 was not associated with CAC or IMT.
CONCLUSION: The results suggest that subtle differences in dietary pattern composition, realized by incorporating measures of inflammatory processes, affect associations with markers of subclinical atherosclerosis.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17556701      PMCID: PMC2858465          DOI: 10.1093/ajcn/85.6.1615

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  54 in total

1.  Application of a new statistical method to derive dietary patterns in nutritional epidemiology.

Authors:  Kurt Hoffmann; Matthias B Schulze; Anja Schienkiewitz; Ute Nöthlings; Heiner Boeing
Journal:  Am J Epidemiol       Date:  2004-05-15       Impact factor: 4.897

Review 2.  Empirically derived eating patterns using factor or cluster analysis: a review.

Authors:  P K Newby; Katherine L Tucker
Journal:  Nutr Rev       Date:  2004-05       Impact factor: 7.110

Review 3.  Surrogate markers for cardiovascular disease: structural markers.

Authors:  G B John Mancini; Björn Dahlöf; Javier Díez
Journal:  Circulation       Date:  2004-06-29       Impact factor: 29.690

4.  A dietary pattern derived to explain biomarker variation is strongly associated with the risk of coronary artery disease.

Authors:  Kurt Hoffmann; Birgit-Christiane Zyriax; Heiner Boeing; Eberhard Windler
Journal:  Am J Clin Nutr       Date:  2004-09       Impact factor: 7.045

5.  Effect of a mediterranean-style diet on endothelial dysfunction and markers of vascular inflammation in the metabolic syndrome: a randomized trial.

Authors:  Katherine Esposito; Raffaele Marfella; Miryam Ciotola; Carmen Di Palo; Francesco Giugliano; Giovanni Giugliano; Massimo D'Armiento; Francesco D'Andrea; Dario Giugliano
Journal:  JAMA       Date:  2004-09-22       Impact factor: 56.272

6.  Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.

Authors:  Matthias B Schulze; JoAnn E Manson; David S Ludwig; Graham A Colditz; Meir J Stampfer; Walter C Willett; Frank B Hu
Journal:  JAMA       Date:  2004-08-25       Impact factor: 56.272

Review 7.  Nutrients, foods, and dietary patterns as exposures in research: a framework for food synergy.

Authors:  David R Jacobs; Lyn M Steffen
Journal:  Am J Clin Nutr       Date:  2003-09       Impact factor: 7.045

8.  Dietary fiber and progression of atherosclerosis: the Los Angeles Atherosclerosis Study.

Authors:  Huiyun Wu; Kathleen M Dwyer; Zhihong Fan; Anne Shircore; Jing Fan; James H Dwyer
Journal:  Am J Clin Nutr       Date:  2003-12       Impact factor: 7.045

9.  Relation of ascorbic acid to coronary artery calcium: the Coronary Artery Risk Development in Young Adults Study.

Authors:  Joel A Simon; Maureen A Murtaugh; Myron D Gross; Catherine M Loria; Stephen B Hulley; David R Jacobs
Journal:  Am J Epidemiol       Date:  2004-03-15       Impact factor: 4.897

10.  Adherence to the Mediterranean diet attenuates inflammation and coagulation process in healthy adults: The ATTICA Study.

Authors:  Christina Chrysohoou; Demosthenes B Panagiotakos; Christos Pitsavos; Undurti N Das; Christodoulos Stefanadis
Journal:  J Am Coll Cardiol       Date:  2004-07-07       Impact factor: 24.094

View more
  51 in total

1.  Comparison of 3 methods for identifying dietary patterns associated with risk of disease.

Authors:  Julia R DiBello; Peter Kraft; Stephen T McGarvey; Robert Goldberg; Hannia Campos; Ana Baylin
Journal:  Am J Epidemiol       Date:  2008-10-22       Impact factor: 4.897

2.  Where what is not stated or required may be the most illuminating.

Authors:  Julie Lin
Journal:  Clin J Am Soc Nephrol       Date:  2014-10-30       Impact factor: 8.237

Review 3.  Coronary heart disease prevention: nutrients, foods, and dietary patterns.

Authors:  Shilpa N Bhupathiraju; Katherine L Tucker
Journal:  Clin Chim Acta       Date:  2011-05-07       Impact factor: 3.786

4.  Food combination and Alzheimer disease risk: a protective diet.

Authors:  Yian Gu; Jeri W Nieves; Yaakov Stern; Jose A Luchsinger; Nikolaos Scarmeas
Journal:  Arch Neurol       Date:  2010-04-12

5.  Dietary patterns are associated with dietary recommendations but have limited relationship to BMI in the Communities Advancing the Studies of Tribal Nations Across the Lifespan (CoASTAL) cohort.

Authors:  Marie K Fialkowski; Megan A McCrory; Sparkle M Roberts; J Kathleen Tracy; Lynn M Grattan; Carol J Boushey
Journal:  Public Health Nutr       Date:  2012-02-21       Impact factor: 4.022

6.  Associations of dietary intake patterns identified using reduced rank regression with markers of arterial stiffness among youth with type 1 diabetes.

Authors:  A P Lamichhane; A D Liese; E M Urbina; J L Crandell; L M Jaacks; D Dabelea; M H Black; A T Merchant; E J Mayer-Davis
Journal:  Eur J Clin Nutr       Date:  2014-05-28       Impact factor: 4.016

7.  Nutrition literacy predicts adherence to healthy/unhealthy diet patterns in adults with a nutrition-related chronic condition.

Authors:  Matthew K Taylor; Debra K Sullivan; Edward F Ellerbeck; Byron J Gajewski; Heather D Gibbs
Journal:  Public Health Nutr       Date:  2019-05-31       Impact factor: 4.022

8.  Availability of healthy foods and dietary patterns: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Manuel Franco; Ana V Diez-Roux; Jennifer A Nettleton; Mariana Lazo; Frederick Brancati; Benjamin Caballero; Thom Glass; Latetia V Moore
Journal:  Am J Clin Nutr       Date:  2009-01-14       Impact factor: 7.045

9.  Dietary pattern, the metabolic syndrome, and left ventricular mass and systolic function: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Longjian Liu; Jennifer A Nettleton; Alain G Bertoni; David A Bluemke; João A Lima; Moyses Szklo
Journal:  Am J Clin Nutr       Date:  2009-06-10       Impact factor: 7.045

10.  Associations between dietary macronutrient intake and plasma lipids demonstrate criterion performance of the Multi-Ethnic Study of Atherosclerosis (MESA) food-frequency questionnaire.

Authors:  Jennifer A Nettleton; Cheryl L Rock; Youfa Wang; Nancy S Jenny; David R Jacobs
Journal:  Br J Nutr       Date:  2009-05-19       Impact factor: 3.718

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.