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mercredi 26 février 2014

The so called "Low" calorie or low fat foods are also a marker of poor diet!


Low-calorie- and calorie-sweetened beverages: diet quality, food intake, and purchase patterns of US household consumers1,2,3

  1. Barry M Popkin
+Author Affiliations
  1. 1From the Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
+Author Notes
  • 2 Supported by the Robert Wood Johnson Foundation (grant 70017) and the CPC 5 R24 HD050924.
  • 3 Address correspondence to BM Popkin, Carolina Population Center, University of North Carolina, 123 West Franklin Street, Chapel Hill, NC 27516. E-mail: popkin@unc.edu.

Abstract

Background: Few studies have investigated the diet quality of consumers of low-calorie-sweetened (LCS) and calorie-sweetened (CS) beverages.
Objective: The objective was to examine the dietary quality and adherence to dietary purchasing and consumption patterns of beverage consumers from 2000 to 2010.
Design: We analyzed purchases for 140,352 households from the Homescan longitudinal data set 2000–2010 and dietary intake from NHANES 2003–2010 (n = 34,393). We defined mutually exclusive consumer profiles as main exposures: LCS beverages, CS beverages, LCS & CS beverages, and non/low consumers. As main outcomes, we explored dietary quality by using total energy and macronutrients (kcal/d). We performed factor analyses and applied factor scores to derive dietary patterns as secondary outcomes. Using multivariable linear (NHANES) and random-effects (Homescan) models, we investigated the associations between beverage profiles and dietary patterns.
Results: We found “prudent” and “breakfast” patterns in Homescan and NHANES, “ready-to-eat meals/fast-food” and “prudent/snacks/LCS desserts” patterns in Homescan, and “protein/potatoes” and “CS desserts/sweeteners” patterns in NHANES. In both data sets, compared with non/low consumers, both CS- and LCS-beverage consumers had a significantly higher total energy from foods, higher energy from total and SFAs, and lower probability of adherence to prudent and breakfast patterns. In Homescan, LCS-beverage consumers had a higher probability of adherence to 2 distinct patterns: a prudent/snacks/LCS dessert pattern and a ready-to-eat meals/fast-food purchasing pattern.
Conclusions: Our findings suggest that overall dietary quality is lower in LCS-, CS-, and LCS & CS–beverage consumers relative to non/low consumers. Our study highlights the importance of targeting foods that are linked with sweetened beverages (either LCS or CS) in intervention and policy efforts that aim to improve nutrition in the United States.


http://ajcn.nutrition.org/content/99/3/567.short

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