Literature DB >> 28526362

Using Secondary 24-Hour Dietary Recall Data to Estimate Daily Dietary Factor Intake From the FLASHE Study Dietary Screener.

Teresa M Smith1, Eric E Calloway1, Courtney A Pinard1, Erin Hennessy2, April Y Oh3, Linda C Nebeling3, Amy L Yaroch1.   

Abstract

INTRODUCTION: The National Cancer Institute's 2014 Family Life, Activity, Sun, Health, and Eating Study utilized a 27-item Dietary Screener tailored to adolescent eating patterns that assessed the frequency of intake of several foods and beverages in parent-adolescent dyads. This study estimated intake of fruits and vegetables (FVs), dairy, added sugars, and whole grains for screener respondents using existing, nationally representative, 24-hour dietary recall data.
METHODS: Dietary Screener items were converted from frequency responses to daily intake. Intake (dependent variable) was estimated using regression coefficients and portion sizes of foods and beverages (independent variables) generated from the 2003-2006 National Health and Nutrition Examination Survey 2-day 24-hour recall data set. Means (SDs) were used to examine daily dietary factor intake among parent and adolescents. Analysis was conducted in 2015-2016. The analytic sample consisted of 1,732 parents (aged ≥18 years) and their adolescent aged 12-17 years (n=1,632).
RESULTS: Male parents consumed 3.6 cups of FVs, 1.8 cups of dairy, 22.6 teaspoons of added sugars, and 2.1 ounces of whole grains daily; female parents consumed 2.8 cups of FVs, 1.3 cups of dairy, 14.8 teaspoons of added sugars, and 1.4 ounces of whole grains daily. Male adolescents consumed 2.2 cups of FVs, 1.9 cups of dairy, 17.9 teaspoons of added sugars, and 1.0 ounces of whole grains daily; female adolescents consumed 2.2 cups FVs, 1.6 cups of dairy, 14.2 teaspoons of added sugars, and 0.8 ounces of whole grains daily.
CONCLUSIONS: Utilizing a dietary screener tailored to adolescent eating patterns in parent-adolescent dyads provided estimated dietary factor intake, underscoring existing 24-hour dietary recall data can be used to calibrate dietary habits.
Copyright © 2017 American Journal of Preventive Medicine. All rights reserved.

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Mesh:

Year:  2017        PMID: 28526362     DOI: 10.1016/j.amepre.2017.01.015

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


  13 in total

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