Literature DB >> 23702262

The Eating Identity Type Inventory (EITI). Development and associations with diet.

Christine E Blake1, Bethany A Bell, Darcy A Freedman, Natalie Colabianchi, Angela D Liese.   

Abstract

People with healthy eating identities report healthier diets and demonstrate greater receptivity to nutrition interventions, but other types of eating identity are likely important. We developed the Eating Identity Type Inventory (EITI) to assess affinity with four eating identity types; healthy, meat, picky, and emotional. This study assessed factorial validity, using confirmatory factor analysis (CFA) and established reliability and convergent validity of the EITI. In a telephone survey, 968 primary household food shoppers completed the EITI and a dietary questionnaire; 101 repeated the EITI approximately 1month later.CFA revealed that an 11-item model provided acceptable fit (χ(2)=206; df=38), CFI=.938, NNFI=.925, RMSEA=.070; SRMR=.059). The EITI demonstrated acceptable internal consistencies with Cronbach alpha's ranging from .61 to .82 and good test-retest reliability for healthy, emotional, and picky types (Pearson's correlations ranging from .78 to .84). Ordinary Least Squares (OLS) used to assess relationships between eating identity type and diet analyses demonstrated significant hypothesized relationships between healthy eating identity and healthier dietary intake and meat and picky eating identities and less healthy dietary intake. The EITI could facilitate behavioral and cognitive research to yield important insights for ways to more effectively design messages, interventions, and policies to promote healthy dietary behaviors.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Confirmatory factor analysis; Eating identity; Emotional eaters; Healthy eaters; Meat eaters; Picky eaters

Mesh:

Year:  2013        PMID: 23702262      PMCID: PMC3746737          DOI: 10.1016/j.appet.2013.05.008

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  40 in total

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4.  Dimensions of everyday eating and drinking episodes.

Authors:  Carole A Bisogni; Laura Winter Falk; Elizabeth Madore; Christine E Blake; Margaret Jastran; Jeffery Sobal; Carol M Devine
Journal:  Appetite       Date:  2006-11-07       Impact factor: 3.868

5.  Dietary intake estimates in the National Health Interview Survey, 2000: methodology, results, and interpretation.

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7.  Environmental influences on fruit and vegetable intake: results from a path analytic model.

Authors:  Angela D Liese; Bethany A Bell; Timothy L Barnes; Natalie Colabianchi; James D Hibbert; Christine E Blake; Darcy A Freedman
Journal:  Public Health Nutr       Date:  2013-11-06       Impact factor: 4.022

8.  Adherence to healthy lifestyle habits in US adults, 1988-2006.

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9.  Deteriorating dietary habits among adults with hypertension: DASH dietary accordance, NHANES 1988-1994 and 1999-2004.

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Journal:  Arch Intern Med       Date:  2008-02-11

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2.  What does a person's eating identity add to environmental influences on fruit and vegetable intake?

Authors:  Xiaonan Ma; Christine E Blake; Timothy L Barnes; Bethany A Bell; Angela D Liese
Journal:  Appetite       Date:  2017-08-26       Impact factor: 3.868

3.  Nutrient density and affordability of foods in Brazil by food group and degree of processing.

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4.  Socioecological Path Analytic Model of Diet Quality among Residents in Two Urban Food Deserts.

Authors:  Darcy A Freedman; Bethany A Bell; Jill K Clark; Patricia A Sharpe; Erika S Trapl; Elaine A Borawski; Stephanie N Pike; Chaturia Rouse; Ashwini R Sehgal
Journal:  J Acad Nutr Diet       Date:  2019-04-25       Impact factor: 4.910

5.  Food security moderates relationship between perceived food environment and diet quality among adults in communities with low access to healthy food retail.

Authors:  Nisha R Gupta; Darcy A Freedman
Journal:  Public Health Nutr       Date:  2020-07-02       Impact factor: 4.022

6.  Maternal and child dietary intake: The role of maternal healthy-eater self-schema.

Authors:  Julie Kueppers; Karen Farchaus Stein; Susan Groth; I Diana Fernandez
Journal:  Appetite       Date:  2018-01-31       Impact factor: 3.868

7.  A relational approach to evaluate food environments finds that the proximate food environment matters for those who use it.

Authors:  Alannah R Glickman; Jill K Clark; Darcy A Freedman
Journal:  Health Place       Date:  2021-04-21       Impact factor: 4.078

8.  Elevated Dietary Inflammation Among Supplemental Nutrition Assistance Program Recipients Provides Targets for Precision Public Health Intervention.

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9.  Associations of Eating Identities With Self-Reported Dietary Behaviors and Body Mass Index.

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