Literature DB >> 22647416

Dietary patterns derived from principal component- and k-means cluster analysis: long-term association with coronary heart disease and stroke.

M D Stricker1, N C Onland-Moret, J M A Boer, Y T van der Schouw, W M M Verschuren, A M May, P H M Peeters, J W J Beulens.   

Abstract

BACKGROUND AND AIMS: Studies comparing dietary patterns derived from different a posteriori methods in view of predicting disease risk are scarce. We aimed to explore differences between dietary patterns derived from principal component- (PCA) and k-means cluster analysis (KCA) in relation to their food group composition and ability to predict CHD and stroke risk. METHODS AND
RESULTS: The study was conducted in the EPIC-NL cohort that consists of 40,011 men and women. Baseline dietary intake was measured using a validated food-frequency questionnaire. Food items were consolidated into 31 food groups. Occurrence of CHD and stroke was assessed through linkage with registries. After 13 years of follow-up, 1,843 CHD and 588 stroke cases were documented. Both PCA and KCA extracted a prudent pattern (high intakes of fish, high-fiber products, raw vegetables, wine) and a western pattern (high consumption of French fries, fast food, low-fiber products, other alcoholic drinks, soft drinks with sugar) with small variation between components and clusters. The prudent component was associated with a reduced risk of CHD (HR for extreme quartiles: 0.87; 95%-CI: 0.75-1.00) and stroke (0.68; 0.53-0.88). The western component was not related to any outcome. The prudent cluster was related with a lower risk of CHD (0.91; 0.82-1.00) and stroke (0.79; 0.67-0.94) compared to the western cluster.
CONCLUSION: PCA and KCA found similar underlying patterns with comparable associations with CHD and stroke risk. A prudent pattern reduced the risk of CHD and stroke.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22647416     DOI: 10.1016/j.numecd.2012.02.006

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  25 in total

1.  Association between dietary patterns and coronary heart disease: a meta-analysis of prospective cohort studies.

Authors:  Lina Hou; Fei Li; Yuanyuan Wang; Zejin Ou; Dingli Xu; Wanlong Tan; Meng Dai
Journal:  Int J Clin Exp Med       Date:  2015-01-15

2.  Prospective associations between dietary patterns and high sensitivity C-reactive protein in European children: the IDEFICS study.

Authors:  Esther María González-Gil; Gianluca Tognon; Lauren Lissner; Timm Intemann; Valeria Pala; Claudio Galli; Maike Wolters; Alfonso Siani; Toomas Veidebaum; Nathalie Michels; Denes Molnar; Jaakko Kaprio; Yannis Kourides; Arno Fraterman; Licia Iacoviello; Catalina Picó; Juan Miguel Fernández-Alvira; Luis Alberto Moreno Aznar
Journal:  Eur J Nutr       Date:  2017-03-18       Impact factor: 5.614

3.  A posteriori data-derived dietary patterns and incident coronary heart disease: Making sense of inconsistent findings.

Authors:  Lyn M Steffen; Katie C Hootman
Journal:  Curr Nutr Rep       Date:  2016-07-12

Review 4.  Diet and Stroke: Recent Evidence Supporting a Mediterranean-Style Diet and Food in the Primary Prevention of Stroke.

Authors:  Sindhu Lakkur; Suzanne E Judd
Journal:  Stroke       Date:  2015-05-12       Impact factor: 7.914

Review 5.  Dietary interventions to lower the risk of stroke.

Authors:  Bernadette Boden-Albala; Lauren Southwick; Heather Carman
Journal:  Curr Neurol Neurosci Rep       Date:  2015-04       Impact factor: 5.081

6.  Dietary patterns in Asian Indians in the United States: an analysis of the metabolic syndrome and atherosclerosis in South Asians Living in America study.

Authors:  Meghana D Gadgil; Cheryl A M Anderson; Namratha R Kandula; Alka M Kanaya
Journal:  J Acad Nutr Diet       Date:  2013-12-02       Impact factor: 4.910

7.  Southern Dietary Pattern is Associated With Hazard of Acute Coronary Heart Disease in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Authors:  James M Shikany; Monika M Safford; P K Newby; Raegan W Durant; Todd M Brown; Suzanne E Judd
Journal:  Circulation       Date:  2015-08-10       Impact factor: 29.690

8.  Dietary Behaviours, Impulsivity and Food Involvement: Identification of Three Consumer Segments.

Authors:  Rani Sarmugam; Anthony Worsley
Journal:  Nutrients       Date:  2015-09-18       Impact factor: 5.717

9.  Comparison in dietary patterns derived for the Canadian Newfoundland and Labrador population through two time-separated studies.

Authors:  Zhi Chen; Peizhong Peter Wang; Lian Shi; Yun Zhu; Lin Liu; Zhiwei Gao; Janine Woodrow; Barbara Roebothan
Journal:  Nutr J       Date:  2015-08-01       Impact factor: 3.271

Review 10.  Dietary Patterns, Alcohol Consumption and Risk of Coronary Heart Disease in Adults: A Meta-Analysis.

Authors:  Xiao-Yan Zhang; Long Shu; Cai-Juan Si; Xiao-Long Yu; Dan Liao; Wei Gao; Lun Zhang; Pei-Fen Zheng
Journal:  Nutrients       Date:  2015-08-07       Impact factor: 5.717

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