Literature DB >> 19225114

Less-energy-dense diets of low-income women in California are associated with higher energy-adjusted diet costs.

Marilyn S Townsend1, Grant J Aaron, Pablo Monsivais, Nancy L Keim, Adam Drewnowski.   

Abstract

BACKGROUND: US-based studies are needed to estimate the relation, if any, between diet quality and estimated diet costs.
OBJECTIVE: We hypothesized that lower cost diets among low-income women in California would be energy dense but nutrient poor.
DESIGN: Energy and nutrient intakes for 112 women aged 18-45 y living in California were obtained with a food-frequency instrument. Dietary energy density (in MJ/kg or kcal/g) and energy-adjusted diet costs (in $/10 MJ or $/2000 kcal) were calculated with local food prices. Tertile splits of energy density and energy cost were analyzed with one-factor analysis of variance.
RESULTS: Mean daily energy intake excluding all beverages was 7.1 MJ (1699 kcal), and mean dietary energy density was 6.5 kJ/kg (1.54 kcal/g). Lower dietary energy density was associated with significantly higher intakes of dietary fiber (P = 0.004), vitamin A (P < 0.001), and vitamin C (P < 0.001) and with significantly lower intakes of total fat (P = 0.003) and saturated fat (P < 0.001). Higher diet cost was associated with significantly lower dietary energy density (P < 0.001), total fat (P = 0.024), and saturated fat (P = 0.025) and with significantly higher intakes of vitamins A (P = 0.003) and C (P < 0.001). Each additional dollar in estimated diet costs was associated with a drop in energy density of 0.94 MJ/kg (0.225 kcal/g).
CONCLUSIONS: The finding that higher quality diets were more costly for these low-income women has implications for the food assistance and education programs of the US Department of Agriculture. Policy interventions may be required to allow low-income families in the United States to improve the quality of their diets given their food budget constraints.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19225114     DOI: 10.3945/ajcn.2008.26916

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


  31 in total

1.  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

2.  Following federal guidelines to increase nutrient consumption may lead to higher food costs for consumers.

Authors:  Pablo Monsivais; Anju Aggarwal; Adam Drewnowski
Journal:  Health Aff (Millwood)       Date:  2011-08-03       Impact factor: 6.301

3.  Little variation in diet cost across wide ranges of overall dietary quality among youth with type 1 diabetes.

Authors:  Tonja Nansel; Denise Haynie; Leah Lipsky; Sanjeev Mehta; Lori Laffel
Journal:  J Acad Nutr Diet       Date:  2014-09-27       Impact factor: 4.910

4.  Socioeconomic status, energy cost, and nutrient content of supermarket food purchases.

Authors:  Bradley M Appelhans; Brandy-Joe Milliron; Kathleen Woolf; Tricia J Johnson; Sherry L Pagoto; Kristin L Schneider; Matthew C Whited; Jennifer C Ventrelle
Journal:  Am J Prev Med       Date:  2012-04       Impact factor: 5.043

5.  Relation of food cost to healthfulness of diet among US women.

Authors:  Adam M Bernstein; David E Bloom; Bernard A Rosner; Mary Franz; Walter C Willett
Journal:  Am J Clin Nutr       Date:  2010-09-01       Impact factor: 7.045

6.  The quality and monetary value of diets consumed by adults in the United States.

Authors:  Colin D Rehm; Pablo Monsivais; Adam Drewnowski
Journal:  Am J Clin Nutr       Date:  2011-09-14       Impact factor: 7.045

7.  Regional price differences and food consumption frequency among elementary school children.

Authors:  R Sturm; A Datar
Journal:  Public Health       Date:  2011-03       Impact factor: 2.427

8.  Estimating dietary costs of low-income women in California: a comparison of 2 approaches.

Authors:  Grant J Aaron; Nancy L Keim; Adam Drewnowski; Marilyn S Townsend
Journal:  Am J Clin Nutr       Date:  2013-02-06       Impact factor: 7.045

9.  Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts.

Authors:  Irva Hertz-Picciotto; Diana Cassady; Kiyoung Lee; Deborah H Bennett; Beate Ritz; Raea Vogt
Journal:  Environ Health       Date:  2010-08-29       Impact factor: 5.984

10.  Did the 2009 American Recovery and Reinvestment Act affect dietary intake of low-income individuals?

Authors:  Geetha Waehrer; Partha Deb; Sandra L Decker
Journal:  Econ Hum Biol       Date:  2015-08-29       Impact factor: 2.184

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.