Literature DB >> 18469226

Does social class predict diet quality?

Nicole Darmon1, Adam Drewnowski.   

Abstract

A large body of epidemiologic data show that diet quality follows a socioeconomic gradient. Whereas higher-quality diets are associated with greater affluence, energy-dense diets that are nutrient-poor are preferentially consumed by persons of lower socioeconomic status (SES) and of more limited economic means. As this review demonstrates, whole grains, lean meats, fish, low-fat dairy products, and fresh vegetables and fruit are more likely to be consumed by groups of higher SES. In contrast, the consumption of refined grains and added fats has been associated with lower SES. Although micronutrient intake and, hence, diet quality are affected by SES, little evidence indicates that SES affects either total energy intakes or the macronutrient composition of the diet. The observed associations between SES variables and diet-quality measures can be explained by a variety of potentially causal mechanisms. The disparity in energy costs ($/MJ) between energy-dense and nutrient-dense foods is one such mechanism; easy physical access to low-cost energy-dense foods is another. If higher SES is a causal determinant of diet quality, then the reported associations between diet quality and better health, found in so many epidemiologic studies, may have been confounded by unobserved indexes of social class. Conversely, if limited economic resources are causally linked to low-quality diets, some current strategies for health promotion, based on recommending high-cost foods to low-income people, may prove to be wholly ineffective. Exploring the possible causal relations between SES and diet quality is the purpose of this review.

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Year:  2008        PMID: 18469226     DOI: 10.1093/ajcn/87.5.1107

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


  561 in total

1.  Mass media information and adherence to Mediterranean diet: results from the Moli-sani study.

Authors:  Marialaura Bonaccio; Augusto Di Castelnuovo; Simona Costanzo; Francesca De Lucia; Marco Olivieri; Maria Benedetta Donati; Giovanni de Gaetano; Licia Iacoviello; Americo Bonanni
Journal:  Int J Public Health       Date:  2011-12-21       Impact factor: 3.380

Review 2.  Socio-economic status, forms of capital and obesity.

Authors:  Stanley J Ulijaszek
Journal:  J Gastrointest Cancer       Date:  2012-03

Review 3.  Critical issues in setting micronutrient recommendations for pregnant women: an insight.

Authors:  Cristiana Berti; Tamás Decsi; Fiona Dykes; Maria Hermoso; Berthold Koletzko; Maddalena Massari; Luis A Moreno; Luis Serra-Majem; Irene Cetin
Journal:  Matern Child Nutr       Date:  2010-10       Impact factor: 3.092

4.  Perceptions of social and environmental support for healthy eating and physical activity in rural southern churches.

Authors:  Michelle C Kegler; Cam Escoffery; Iris C Alcantara; Johanna Hinman; Ann Addison; Karen Glanz
Journal:  J Relig Health       Date:  2012-09

5.  The cost of US foods as related to their nutritive value.

Authors:  Adam Drewnowski
Journal:  Am J Clin Nutr       Date:  2010-08-18       Impact factor: 7.045

6.  Acculturation, Income and Vegetable Consumption Behaviors Among Latino Adults in the U.S.: A Mediation Analysis with the Bootstrapping Technique.

Authors:  Erick B López; Takashi Yamashita
Journal:  J Immigr Minor Health       Date:  2017-02

7.  The Association of Maternal Perceived Stress With Changes in Their Children's Healthy Eating Index (HEI-2010) Scores Over Time.

Authors:  Sydney G O'Connor; Jimi Huh; Susan M Schembre; Nanette V Lopez; Genevieve F Dunton
Journal:  Ann Behav Med       Date:  2019-08-29

8.  Three-year change in diet quality and associated changes in BMI among schoolchildren living in socio-economically disadvantaged neighbourhoods.

Authors:  Sandrine Lioret; Sarah A McNaughton; Adrian J Cameron; David Crawford; Karen J Campbell; Verity J Cleland; Kylie Ball
Journal:  Br J Nutr       Date:  2014-04-28       Impact factor: 3.718

9.  Where do U.S. households purchase healthy foods? An analysis of food-at-home purchases across different types of retailers in a nationally representative dataset.

Authors:  Benjamin W Chrisinger; Michael J Kallan; Eliza D Whiteman; Amy Hillier
Journal:  Prev Med       Date:  2018-03-16       Impact factor: 4.018

10.  Combined effects of prenatal polycyclic aromatic hydrocarbons and material hardship on child IQ.

Authors:  Julia Vishnevetsky; Deliang Tang; Hsin-Wen Chang; Emily L Roen; Ya Wang; Virginia Rauh; Shuang Wang; Rachel L Miller; Julie Herbstman; Frederica P Perera
Journal:  Neurotoxicol Teratol       Date:  2015-04-23       Impact factor: 3.763

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