Literature DB >> 16785093

Food source makes a difference in diet quality.

Andrea Carlson1, Shirley Gerrior.   

Abstract

OBJECTIVE: To examine the relationship between diet quality and source of food among U.S. adults.
DESIGN: Cross-sectional sample of adults who participated in the 1994-1996 Continuing Survey of Food Intakes by Individuals divided into clusters based on their food source.
SETTING: In-person interviews conducted nationwide. PARTICIPANTS: A national sample of 9407 adults over 18 years of age.
METHOD: Data gathered from the interviews consisted of two 24-hour dietary recalls; self-reported demographic characteristics; body mass index (BMI); and health behaviors such as physical activity, smoking, and alcohol consumption. MAIN OUTCOME MEASURES: The United States Department of Agriculture (USDA) Healthy Eating Index (HEI) score and the percentage of total grams of food consumed from each source. ANALYSIS: Multivariate linear regression evaluated the association between food source pattern determined by cluster analysis, and HEI scores, while controlling for demographic characteristics, BMI, and health behaviors.
RESULTS: Ten primary food source patterns were identified from the clusters. The food source clusters were statistically significant in predicting HEI score and were stronger predictors than most demographic and health behaviors included. IMPLICATIONS FOR RESEARCH AND PRACTICE: The success of cluster analysis in identifying food source patterns and associating them with diet quality suggests that identifying an individual's food source pattern may be more predictive of diet quality than demographic characteristics, and other health behaviors.

Entities:  

Mesh:

Year:  2006        PMID: 16785093     DOI: 10.1016/j.jneb.2006.04.148

Source DB:  PubMed          Journal:  J Nutr Educ Behav        ISSN: 1499-4046            Impact factor:   3.045


  9 in total

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Authors:  Dalia Stern; Jennifer M Poti; Shu Wen Ng; Whitney R Robinson; Penny Gordon-Larsen; Barry M Popkin
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4.  US Household Food Shopping Patterns: Dynamic Shifts Since 2000 And Socioeconomic Predictors.

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5.  Dietary behaviors associated with fruit and vegetable consumption, Marion County, Indiana, 2005.

Authors:  Karl W Staser; Terrell W Zollinger; Robert M Saywell; Srujana Kunapareddy; P Joseph Gibson; Virginia A Caine
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6.  Dietary quality differs by consumption of meals prepared at home vs. outside in Korean adults.

Authors:  Kyung Won Lee; Won O Song; Mi Sook Cho
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7.  Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways.

Authors:  Adam Drewnowski; Anju Aggarwal; Wesley Tang; Philip M Hurvitz; Jason Scully; Orion Stewart; Anne Vernez Moudon
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8.  Energy intake from commercially-prepared meals by food source in Korean adults: Analysis of the 2001 and 2011 Korea National Health and Nutrition Examination Surveys.

Authors:  Injoo Choi; Won Gyoung Kim; Jihyun Yoon
Journal:  Nutr Res Pract       Date:  2017-02-21       Impact factor: 1.926

9.  Cross-Sectional Association of Food Source with Food Insecurity, Dietary Diversity and Body Mass Index in Western Kenya.

Authors:  Elizabeth Olatunji; Charles Obonyo; Pamela Wadende; Vincent Were; Rosemary Musuva; Charles Lwanga; Eleanor Turner-Moss; Matthew Pearce; Ebele R I Mogo; Oliver Francis; Louise Foley
Journal:  Nutrients       Date:  2021-12-28       Impact factor: 5.717

  9 in total

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