Literature DB >> 23128769

The economics of food choice behavior: why poverty and obesity are linked.

Adam Drewnowski1.   

Abstract

Obesity in the United States does not affect all segments of the population equally. It is more prevalent in deprived neighborhoods and among groups with lower education and incomes. Inequitable access to healthy foods is one mechanism by which socioeconomic factors can influence food choice behaviors, overall diet quality, and bodyweight. Having a supermarket in the immediate neighborhood has been linked to better diets and to lower obesity rates. However, the affordability of healthy foods may have more of an impact on food patterns than does distance to the nearest store. Grains, added sugars, and added fats are inexpensive, good-tasting, and convenient. Their consumption has been linked to lower quality diets, lower diet costs, and lower socioeconomic status. By contrast, the recommended healthier diets not only cost more but were consumed by more affluent groups. New techniques of spatial analysis are a promising approach to mapping obesity rates and linking them with measures of socioeconomic status based on diverse social and economic aspects of the built environment. Low residential property values predicted bodyweights of women better than did either education or incomes. Shopping in low-cost supermarkets was another powerful predictor of bodyweight. Bodyweight gain may be best predicted not by any one nutrient, food or beverage but by low diet cost. Higher obesity rates in poor neighborhoods may be the toxic consequence of economic insecurity. Alleviating poverty may be the best, if not the only, way to stop the obesity epidemic.
Copyright © 2012 Nestec Ltd., Vevey/S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2012        PMID: 23128769     DOI: 10.1159/000341303

Source DB:  PubMed          Journal:  Nestle Nutr Inst Workshop Ser        ISSN: 1664-2147


  25 in total

1.  Less is more: Negative income shock increases immediate preference in cross commodity discounting and food demand.

Authors:  Alexandra M Mellis; Liqa N Athamneh; Jeffrey S Stein; Yan Yan Sze; Leonard H Epstein; Warren K Bickel
Journal:  Appetite       Date:  2018-06-27       Impact factor: 3.868

2.  Increasing access to fruits and vegetables: perspectives from the New York City experience.

Authors:  Rachel Sacks; Stella S Yi; Cathy Nonas
Journal:  Am J Public Health       Date:  2015-03-19       Impact factor: 9.308

3.  Gender and age are associated with healthy food purchases via grocery voucher redemption.

Authors:  Frances Hardin-Fanning; Yevgeniya Gokun
Journal:  Rural Remote Health       Date:  2014-07-26       Impact factor: 1.759

4.  The Flint Food Store Survey: combining spatial analysis with a modified Nutrition Environment Measures Survey in Stores (NEMS-S) to measure the community and consumer nutrition environments.

Authors:  Erika R Shaver; Richard C Sadler; Alex B Hill; Kendall Bell; Myah Ray; Jennifer Choy-Shin; Joy Lerner; Teresa Soldner; Andrew D Jones
Journal:  Public Health Nutr       Date:  2018-01-24       Impact factor: 4.022

5.  It is Hard to Swim Upstream: Dietary Acculturation Among Mexican-Origin Children.

Authors:  Jennifer Van Hook; Susana Quiros; Michelle L Frisco; Emnet Fikru
Journal:  Popul Res Policy Rev       Date:  2015-12-26

Review 6.  Contextual poverty, nutrition, and chronic kidney disease.

Authors:  Orlando M Gutiérrez
Journal:  Adv Chronic Kidney Dis       Date:  2015-01       Impact factor: 3.620

7.  Improving lifestyle interventions for people with serious mental illnesses: Qualitative results from the STRIDE study.

Authors:  Bobbi Jo H Yarborough; Scott P Stumbo; Micah T Yarborough; Thomas J Young; Carla A Green
Journal:  Psychiatr Rehabil J       Date:  2015-07-27

8.  US Household Food Shopping Patterns: Dynamic Shifts Since 2000 And Socioeconomic Predictors.

Authors:  Dalia Stern; Whitney R Robinson; Shu Wen Ng; Penny Gordon-Larsen; Barry M Popkin
Journal:  Health Aff (Millwood)       Date:  2015-11       Impact factor: 6.301

9.  Food cost disparities in rural communities.

Authors:  Frances Hardin-Fanning; Mary Kay Rayens
Journal:  Health Promot Pract       Date:  2014-10-10

10.  The association between urinary phytoestrogen excretion and components of the metabolic syndrome in NHANES.

Authors:  Tristan Struja; Aline Richard; Jakob Linseisen; Monika Eichholzer; Sabine Rohrmann
Journal:  Eur J Nutr       Date:  2013-12-31       Impact factor: 5.614

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.