Literature DB >> 29630965

Fast food in the diet: Implications and solutions for families.

Jayne A Fulkerson1.   

Abstract

Fast food is omnipresent in the United States (U.S.) and contributes to poor dietary quality and poor health among youth and adults alike. Children need adults to teach them good eating habits to attain and maintain good health by introducing them to healthful foods and being good role models. The fast food industry, through vast funds and advertising, contribute to challenges parents face to provide healthful foods for their families and thwart our best efforts to meet health goals. Research shows fast food consumption is influenced by lack of cooking confidence, time pressures, and perceptions of ease and convenience. We need practical strategies to help parents and children make healthier food choices. As a product of conference proceedings, this paper provides a non-exhaustive narrative summary of the fast food marketplace and marketing, the contributions of fast food to diet and health, struggles with healthful eating among families, and possible solutions of how we can help children and parents empower themselves to have healthier lives.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Cooking; Eating; Families; Fast-food; Health; Intervention

Mesh:

Year:  2018        PMID: 29630965     DOI: 10.1016/j.physbeh.2018.04.005

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  7 in total

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4.  Examining disparities in diet quality between SNAP participants and non-participants using Oaxaca-Blinder decomposition analysis.

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Authors:  Pasquale E Rummo; Alyssa J Moran; Aviva A Musicus; Christina A Roberto; Marie A Bragg
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6.  Associations between online food outlet access and online food delivery service use amongst adults in the UK: a cross-sectional analysis of linked data.

Authors:  Matthew Keeble; Jean Adams; Lana Vanderlee; David Hammond; Thomas Burgoine
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7.  Effects of the amount and type of carbohydrates used in type 2 diabetes diets in animal models: A systematic review.

Authors:  Anaísa Martins Marques; Bárbara Silva Linhares; Rômulo Dias Novaes; Mariella Bontempo Freitas; Mariáurea Matias Sarandy; Reggiani Vilela Gonçalves
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  7 in total

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