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Articles

Comparison of the HEI and HEI-2010 Diet Quality Measures in Association with Chronic Disease Risk among Low-Income, African American Urban Youth in Baltimore, Maryland

, PhD, RDN, , PhD, RD, , PhD, , PhD, , MPH & , PhD
Pages 201-208 | Received 27 Feb 2017, Accepted 02 Sep 2017, Published online: 09 Jan 2018
 

ABSTRACT

Objective: Overall diet patterns may be a better predictor of disease risk than specific nutrients or individual foods. The purpose of this study is to examine how overall diet patterns relate to nutritional intake, body composition, and physiological measures of chronic disease risk among low-income, urban African American adolescents.

Methods: Cross-sectional data were collected from two samples of African American adolescents (n = 317) from a low-income urban community, including dietary intake using the food frequency Youth/Adolescent Questionnaire and anthropometric measures. Serum cholesterol, serum lipoproteins, and glucose tolerance were measured in a subsample. Means testing compared differences in Healthy Eating Index (HEI) and Healthy Eating Index–2010 (HEI-2010) component and total scores. Pearson correlations examined how HEI and HEI-2010 scores related to nutrient, food intakes, and markers of disease risk, including body mass index, percent body fat, abdominal fat, serum cholesterol, serum lipoproteins, and impaired glucose tolerance. Fisher R–Z transformations compared magnitude differences between HEI and HEI-2010 correlations to nutritional intake and chronic disease risk.

Results: Both HEI and HEI-2010 scores were positively associated with micronutrient intakes. Higher HEI scores were inversely related to serum cholesterol, low-density lipoprotein, impaired glucose tolerance, percent body fat, and percent abdominal fat. HEI-2010 scores were not related to biomarkers of chronic disease risk.

Conclusions: Compared to the HEI-2010, the HEI is a better indicator of chronic disease risk among low-income, urban African American adolescents.

Acknowledgments

The research culminating in this article was supported by grants R40MC00241, MCJ-240301, and R40MC04297 from the Maternal and Child Health Research Program, U.S. Department of Health and Human Services; grant APRPA006000 from the Office of Population Affairs, U.S. Department of Health and Human Services, the University of Maryland General Clinical Research Center; and grant M01 RR16500, General Clinical Research Centers Program, National Center for Research Resources (NCRR), NIH.

Disclosure

The findings and conclusions of this report are those of the authors and do not necessarily represent the official position of the U.S. Department of Health and Human Services.

Additional information

Funding

Maternal and Child Health Bureau (MCJ240301,R40MC00241,R40MC04297); National Center for Research Resources (M01 RR16500); U.S. Department of Health and Human Services (APRPA006000)

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