Literature DB >> 23079172

Energy intake from restaurants: demographics and socioeconomics, 2003-2008.

Lisa M Powell1, Binh T Nguyen, Euna Han.   

Abstract

BACKGROUND: Eating food away from home and restaurant consumption have increased over the past few decades.
PURPOSE: To examine recent changes in calories from fast-food and full-service restaurant consumption and to assess characteristics associated with consumption.
METHODS: Analyses of 24-hour dietary recalls from children, adolescents, and adults using nationally representative data from the 2003-2004 through 2007-2008 National Health and Nutrition Examination Surveys, including analysis by gender, ethnicity, income, and location of consumption. Multivariate regression analyses of associations between demographic and socioeconomic characteristics and consumption prevalence and average daily caloric intake from fast-food and full-service restaurants.
RESULTS: In 2007-2008, 33%, 41%, and 36% of children, adolescents, and adults, respectively, consumed foods and/or beverages from fast-food restaurant sources and 12%, 18%, and 27% consumed from full-service restaurants. Their respective mean daily caloric intake from fast food was 191, 404, and 315 kcal, down by 25% (p ≤ 0.05), 3%, and 9% from 2003-2004; and among consumers, intake was 576, 988, and 877 kcal, respectively, down by 12% (p ≤ 0.05), 2%, and 7%. There were no changes in daily calories consumed from full-service restaurants. Consumption prevalence and average daily caloric intake from fast-food (adults only) and full-service restaurants (all age groups) were higher when consumed away from home versus at home. There were some demographic and socioeconomic associations with the likelihood of fast-food consumption, but characteristics generally were not associated with the extent of caloric intake among those who consumed from fast-food or from full-service restaurants.
CONCLUSIONS: In 2007-2008, fast-food and full-service restaurant consumption remained prevalent and a source of substantial energy intake.
Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23079172      PMCID: PMC3479669          DOI: 10.1016/j.amepre.2012.07.041

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  22 in total

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2.  Trends in energy intake in U.S. between 1977 and 1996: similar shifts seen across age groups.

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Journal:  Obes Res       Date:  2002-05

3.  Role of food prepared away from home in the American diet, 1977-78 versus 1994-96: changes and consequences.

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Journal:  J Nutr Educ Behav       Date:  2002 May-Jun       Impact factor: 3.045

4.  The relation between dietary change and rising US obesity.

Authors:  J K Binkley; J Eales; M Jekanowski
Journal:  Int J Obes Relat Metab Disord       Date:  2000-08

5.  Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates.

Authors:  S A French; L Harnack; R W Jeffery
Journal:  Int J Obes Relat Metab Disord       Date:  2000-10

6.  Fast-food consumption among US adults and children: dietary and nutrient intake profile.

Authors:  Sahasporn Paeratakul; Daphne P Ferdinand; Catherine M Champagne; Donna H Ryan; George A Bray
Journal:  J Am Diet Assoc       Date:  2003-10

7.  Eating out in America, 1987-2000: trends and nutritional correlates.

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Journal:  Prev Med       Date:  2004-02       Impact factor: 4.018

8.  Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status.

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9.  US secondary schools and food outlets.

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10.  Effects of fast-food consumption on energy intake and diet quality among children in a national household survey.

Authors:  Shanthy A Bowman; Steven L Gortmaker; Cara B Ebbeling; Mark A Pereira; David S Ludwig
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2.  The association of fast food consumption with poor dietary outcomes and obesity among children: is it the fast food or the remainder of the diet?

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3.  The role of television viewing and direct experience in predicting adolescents' beliefs about the health risks of fast-food consumption.

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Authors:  R An
Journal:  Eur J Clin Nutr       Date:  2015-07-01       Impact factor: 4.016

Review 6.  Systematic review and meta-analysis of the impact of restaurant menu calorie labeling.

Authors:  Michael W Long; Deirdre K Tobias; Angie L Cradock; Holly Batchelder; Steven L Gortmaker
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7.  A toy story: Association between young children's knowledge of fast food toy premiums and their fast food consumption.

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8.  Secular trends in fast-food restaurant use among adolescents and maternal caregivers from 1999 to 2010.

Authors:  Nicole Larson; Peter J Hannan; Jayne A Fulkerson; Melissa N Laska; Marla E Eisenberg; Dianne Neumark-Sztainer
Journal:  Am J Public Health       Date:  2014-03-13       Impact factor: 9.308

9.  Weight and Veterans' Environments Study (WAVES) I and II: Rationale, Methods, and Cohort Characteristics.

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Journal:  Am J Health Promot       Date:  2017-03-02

10.  Using fundraising incentives and point-of-purchase nutrition promotion to improve food choices among school families in restaurants: a pilot and feasibility study.

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Journal:  Public Health Nutr       Date:  2020-04-15       Impact factor: 4.022

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