Literature DB >> 20087378

Dietary patterns and socioeconomic position.

P Mullie1, P Clarys, M Hulens, G Vansant.   

Abstract

BACKGROUND/
OBJECTIVES: To test a socioeconomic hypothesis on three dietary patterns and to describe the relation between three commonly used methods to determine dietary patterns, namely Healthy Eating Index, Mediterranean Diet Score and principal component analysis. SUBJECTS/
METHODS: Cross-sectional design in 1852 military men. Using mailed questionnaires, the food consumption frequency was recorded.
RESULTS: The correlation coefficients between the three dietary patterns varied between 0.43 and 0.62. The highest correlation was found between Healthy Eating Index and Healthy Dietary Pattern (principal components analysis). Cohen's kappa coefficient of agreement varied between 0.10 and 0.20. After age-adjustment, education and income remained associated with the most healthy dietary pattern. Even when both socioeconomic indicators were used together in one model, higher income and education were associated with higher scores for Healthy Eating Index, Mediterranean Diet Score and Healthy Dietary Pattern. The least healthy quintiles of dietary pattern as measured by the three methods were associated with a clustering of unhealthy behaviors, that is, smoking, low physical activity, highest intake of total fat and saturated fatty acids, and low intakes of fruits and vegetables.
CONCLUSIONS: The three dietary patterns used indicated that the most healthy patterns were associated with a higher socioeconomic position, while lower patterns were associated with several unhealthy behaviors.

Entities:  

Mesh:

Year:  2010        PMID: 20087378     DOI: 10.1038/ejcn.2009.145

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  49 in total

1.  A Belgian consensus-statement on growing-up milks for children 12-36 months old.

Authors:  Yvan Vandenplas; Nadine De Ronne; Annemie Van De Sompel; Koen Huysentruyt; Martine Robert; Jacques Rigo; Isabelle Scheers; Daniel Brasseur; P Goyens
Journal:  Eur J Pediatr       Date:  2014-04-25       Impact factor: 3.183

2.  A point-of-purchase intervention featuring in-person supermarket education affects healthful food purchases.

Authors:  Brandy-Joe Milliron; Kathleen Woolf; Bradley M Appelhans
Journal:  J Nutr Educ Behav       Date:  2011-11-21       Impact factor: 3.045

3.  The impact of conventional dietary intake data coding methods on foods typically consumed by low-income African-American and White urban populations.

Authors:  Marc A Mason; Marie Fanelli Kuczmarski; Deanne Allegro; Alan B Zonderman; Michele K Evans
Journal:  Public Health Nutr       Date:  2014-12-01       Impact factor: 4.022

4.  Patterns and predictors of fast food consumption after acute myocardial infarction.

Authors:  Adam C Salisbury; Paul S Chan; Kensey L Gosch; Donna M Buchanan; John A Spertus
Journal:  Am J Cardiol       Date:  2011-04-15       Impact factor: 2.778

5.  Relation of the Dietary Approaches to Stop Hypertension Dietary Pattern to Heart Failure Risk and Socioeconomic Status (from the Southern Community Cohort Study).

Authors:  Rachel S Chang; Meng Xu; Sarah H Brown; Sarah S Cohen; Danxia Yu; Elvis A Akwo; Debra Dixon; Loren Lipworth; Deepak K Gupta
Journal:  Am J Cardiol       Date:  2022-01-25       Impact factor: 2.778

Review 6.  Food consumption trends and drivers.

Authors:  John Kearney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-09-27       Impact factor: 6.237

Review 7.  Obesity Pathogenesis: An Endocrine Society Scientific Statement.

Authors:  Michael W Schwartz; Randy J Seeley; Lori M Zeltser; Adam Drewnowski; Eric Ravussin; Leanne M Redman; Rudolph L Leibel
Journal:  Endocr Rev       Date:  2017-08-01       Impact factor: 19.871

8.  An examination of the mediating role of salt knowledge and beliefs on the relationship between socio-demographic factors and discretionary salt use: a cross-sectional study.

Authors:  Rani Sarmugam; Anthony Worsley; Wei Wang
Journal:  Int J Behav Nutr Phys Act       Date:  2013-02-19       Impact factor: 6.457

9.  Association between dietary patterns and the risk of metabolic syndrome among Lebanese adults.

Authors:  F Naja; L Nasreddine; L Itani; N Adra; A M Sibai; N Hwalla
Journal:  Eur J Nutr       Date:  2011-12-23       Impact factor: 5.614

10.  Agriculture and bioactives: achieving both crop yield and phytochemicals.

Authors:  Lina García-Mier; Ramón G Guevara-González; Víctor M Mondragón-Olguín; Beatriz Del Rocío Verduzco-Cuellar; Irineo Torres-Pacheco
Journal:  Int J Mol Sci       Date:  2013-02-20       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.