Literature DB >> 30146072

Applications of the Healthy Eating Index for Surveillance, Epidemiology, and Intervention Research: Considerations and Caveats.

Sharon I Kirkpatrick, Jill Reedy, Susan M Krebs-Smith, TusaRebecca E Pannucci, Amy F Subar, Magdalena M Wilson, Jennifer L Lerman, Janet A Tooze.   

Abstract

The Healthy Eating Index (HEI) is a measure of diet quality that can be used to examine alignment of dietary patterns with the Dietary Guidelines for Americans. The HEI is made up of multiple adequacy and moderation components, most of which are expressed relative to energy intake (ie, as densities) for the purpose of calculating scores. Due to these characteristics and the complexity of dietary intake data more broadly, calculating and using HEI scores can involve unique statistical considerations and, depending on the particular application, intensive computational methods. The objective of this article is to review potential applications of the HEI, including those relevant to surveillance, epidemiology, and intervention research, and to summarize available guidance for appropriate analysis and interpretation. Steps in calculating HEI scores are reviewed and statistical methods described. Consideration of salient issues in the calculation and interpretation of scores can help researchers avoid common pitfalls and reviewers ensure that articles reporting on the use of the HEI include sufficient details such that the work is comprehensible and replicable, with the overall goal of contributing to knowledge on dietary patterns and health among Americans.
Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diet indexes; Diet quality; Dietary patterns; Healthy Eating Index; Statistical modeling

Mesh:

Year:  2018        PMID: 30146072      PMCID: PMC6730554          DOI: 10.1016/j.jand.2018.05.020

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   4.910


  41 in total

1.  Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction.

Authors:  Teresa T Fung; Marjorie L McCullough; P K Newby; Joann E Manson; James B Meigs; Nader Rifai; Walter C Willett; Frank B Hu
Journal:  Am J Clin Nutr       Date:  2005-07       Impact factor: 7.045

Review 2.  Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.

Authors:  Laurence S Freedman; John M Commins; James E Moler; Walter Willett; Lesley F Tinker; Amy F Subar; Donna Spiegelman; Donna Rhodes; Nancy Potischman; Marian L Neuhouser; Alanna J Moshfegh; Victor Kipnis; Lenore Arab; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2015-03-18       Impact factor: 4.897

3.  A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.

Authors:  Janet A Tooze; Victor Kipnis; Dennis W Buckman; Raymond J Carroll; Laurence S Freedman; Patricia M Guenther; Susan M Krebs-Smith; Amy F Subar; Kevin W Dodd
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

4.  Update of the Healthy Eating Index: HEI-2010.

Authors:  Patricia M Guenther; Kellie O Casavale; Jill Reedy; Sharon I Kirkpatrick; Hazel A B Hiza; Kevin J Kuczynski; Lisa L Kahle; Susan M Krebs-Smith
Journal:  J Acad Nutr Diet       Date:  2013-02-13       Impact factor: 4.910

5.  Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project.

Authors:  Brook E Harmon; Carol J Boushey; Yurii B Shvetsov; Reynolette Ettienne; Jill Reedy; Lynne R Wilkens; Loic Le Marchand; Brian E Henderson; Laurence N Kolonel
Journal:  Am J Clin Nutr       Date:  2015-01-07       Impact factor: 7.045

Review 6.  The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance.

Authors:  Angela D Liese; Susan M Krebs-Smith; Amy F Subar; Stephanie M George; Brook E Harmon; Marian L Neuhouser; Carol J Boushey; TusaRebecca E Schap; Jill Reedy
Journal:  J Nutr       Date:  2015-01-21       Impact factor: 4.798

7.  A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.

Authors:  Janet A Tooze; Douglas Midthune; Kevin W Dodd; Laurence S Freedman; Susan M Krebs-Smith; Amy F Subar; Patricia M Guenther; Raymond J Carroll; Victor Kipnis
Journal:  J Am Diet Assoc       Date:  2006-10

8.  Update of the Healthy Eating Index: HEI-2015.

Authors:  Susan M Krebs-Smith; TusaRebecca E Pannucci; Amy F Subar; Sharon I Kirkpatrick; Jennifer L Lerman; Janet A Tooze; Magdalena M Wilson; Jill Reedy
Journal:  J Acad Nutr Diet       Date:  2018-09       Impact factor: 4.910

9.  Fast-food menu offerings vary in dietary quality, but are consistently poor.

Authors:  Sharon I Kirkpatrick; Jill Reedy; Lisa L Kahle; Jennifer L Harris; Punam Ohri-Vachaspati; Susan M Krebs-Smith
Journal:  Public Health Nutr       Date:  2013-01-15       Impact factor: 4.022

10.  Development and implications of a revised Canadian Healthy Eating Index (HEIC-2009).

Authors:  Sarah J Woodruff; Rhona M Hanning
Journal:  Public Health Nutr       Date:  2010-01-15       Impact factor: 4.022

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  64 in total

1.  Diet Quality and Associations with Food Security among Women Eligible for Indiana Supplemental Nutrition Assistance Program-Education.

Authors:  Rebecca L Rivera; Yumin Zhang; Qi Wang; Melissa K Maulding; Janet A Tooze; Breanne N Wright; Bruce A Craig; Regan L Bailey; Heather A Eicher-Miller
Journal:  J Nutr       Date:  2020-08-01       Impact factor: 4.798

2.  Adherence to Dietary Recommendations among Long-Term Breast Cancer Survivors and Cancer Outcome Associations.

Authors:  Fei Wang; Hui Cai; Kai Gu; Liang Shi; Danxia Yu; Minlu Zhang; Wei Zheng; Ying Zheng; Pingping Bao; Xiao-Ou Shu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-12-23       Impact factor: 4.254

3.  Patterns and correlates of sleep duration in the Southern cohort community study.

Authors:  Tao Liang; Heather M Munro; Margaret K Hargreaves; Mark D Steinwandel; William J Blot; Maciej S Buchowski
Journal:  Sleep Med       Date:  2020-09-10       Impact factor: 3.492

4.  Relationship Between Grocery Shopping Frequency and Home- and Individual-Level Diet Quality Among Low-Income Racial or Ethnic Minority Households With Preschool-Aged Children.

Authors:  Justin Banks; Marian L Fitzgibbon; Linda A Schiffer; Richard T Campbell; Mirjana A Antonic; Carol L Braunschweig; Angela M Odoms-Young; Angela Kong
Journal:  J Acad Nutr Diet       Date:  2020-08-19       Impact factor: 4.910

5.  Association of the Healthy, Hunger-Free Kids Act With Dietary Quality Among Children in the US National School Lunch Program.

Authors:  Kelsey Kinderknecht; Cristen Harris; Jessica Jones-Smith
Journal:  JAMA       Date:  2020-07-28       Impact factor: 56.272

6.  Diet Quality and Fruit, Vegetable, and Sugar-Sweetened Beverage Consumption by Household Food Insecurity among 8- to 12-Year-Old Children during Summer Months.

Authors:  Jiwoo Lee; Martha Y Kubik; Jayne A Fulkerson
Journal:  J Acad Nutr Diet       Date:  2019-05-02       Impact factor: 4.910

7.  Evaluation of the Healthy Eating Index-2015.

Authors:  Jill Reedy; Jennifer L Lerman; Susan M Krebs-Smith; Sharon I Kirkpatrick; TusaRebecca E Pannucci; Magdalena M Wilson; Amy F Subar; Lisa L Kahle; Janet A Tooze
Journal:  J Acad Nutr Diet       Date:  2018-09       Impact factor: 4.910

8.  Update of the Healthy Eating Index: HEI-2015.

Authors:  Susan M Krebs-Smith; TusaRebecca E Pannucci; Amy F Subar; Sharon I Kirkpatrick; Jennifer L Lerman; Janet A Tooze; Magdalena M Wilson; Jill Reedy
Journal:  J Acad Nutr Diet       Date:  2018-09       Impact factor: 4.910

9.  Contributions of Early Care and Education Programs to Diet Quality in Children Aged 3 to 4 Years in Central North Carolina.

Authors:  Courtney T Luecking; Stephanie Mazzucca; Amber E Vaughn; Dianne S Ward
Journal:  J Acad Nutr Diet       Date:  2019-12-09       Impact factor: 4.910

10.  Performance and Feasibility of Recalls Completed Using the Automated Self-Administered 24-Hour Dietary Assessment Tool in Relation to Other Self-Report Tools and Biomarkers in the Interactive Diet and Activity Tracking in AARP (IDATA) Study.

Authors:  Amy F Subar; Nancy Potischman; Kevin W Dodd; Frances E Thompson; David J Baer; Dale A Schoeller; Douglas Midthune; Victor Kipnis; Sharon I Kirkpatrick; Beth Mittl; Thea P Zimmerman; Deirdre Douglass; Heather R Bowles; Yikyung Park
Journal:  J Acad Nutr Diet       Date:  2020-08-17       Impact factor: 4.910

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