Health Literacy and Education Predict Nutrient Quality of Diet of Socioeconomically Diverse, Urban Adults

Marie F Kuczmarski; Erica L Adams; Nancy Cotugna; Ryan T Pohlig; May A Beydoun; Alan B Zonderman; Michele K Evans

doi:10.19104/jepm.2016.115

Health Literacy and Education Predict Nutrient Quality of Diet of Socioeconomically Diverse, Urban Adults

J Epidemiol Prev Med. 2016;2(1):13000115. doi: 10.19104/jepm.2016.115. Epub 2016 Apr 15.

Authors

Marie F Kuczmarski¹, Erica L Adams², Nancy Cotugna³, Ryan T Pohlig⁴, May A Beydoun⁵, Alan B Zonderman⁵, Michele K Evans⁵

Affiliations

¹ Department of Behavioral Health and Nutrition, Co-Investigator, HANDLS study, 315 McDowell Hall, University of Delaware, Newark, Delaware 19716, USA.
² Department of Behavioral Health and Nutrition, 206 McDowell Hall, University of Delaware, Newark, Delaware 19716, USA.
³ Department of Behavioral Health and Nutrition, University of Delaware, Newark, Delaware 19716, USA.
⁴ College of Health Sciences, University of Delaware, Newark, Delaware 19716, USA.
⁵ Laboratory of Epidemiology and Population Sciences, National Institute of Aging, NIH, Baltimore, MD 21224-6825, USA.

Abstract

Background: Research has shown that health literacy may be a stronger predictor of health than age, employment status, education level, race, and income. Evidence supports a strong link between low health literacy and poor dietary management of chronic diseases.

Objective: The aim was to evaluate the relationship of micronutrient quality of diet, health numeracy and health literacy in White and African American adults randomly selected from 13 Baltimore neighborhoods.

Design: Cross-sectional analysis of Wave 3 (2009-2013) of the longitudinal Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study initiated in 2004.

Main outcome measures: Health literacy was measured using the Rapid Estimate of Adult Literacy in Medicine (REALM). Health numeracy was measured using the numeracy subscale of the Test of Functional Health Literacy in Adults (TOFHLA). Nutrient-based diet quality was measured using Mean Adequacy Ratio (MAR-S) scores calculated from 17 micronutrients from diet plus dietary supplement intake.

Statistical analyses: The relationship of MAR-S scores to the health literacy measures were explored with multiple ordinary least square regression models, adjusting for a number of potential confounders.

Results: REALM but not numeracy was associated with MAR-S; significant covariates included age, current cigarette smoking status, and energy intake. The interactions of race and educational attainment, and REALM and educational attainment were significant, with the relationship between REALM and MAR-S becoming stronger as education level increased.

Conclusion: There is a synergistic relationship between health literacy and educational attainment in predicting nutrient-based diet quality. Education was a stronger predictor for Whites compared to African Americans emphasizing the need for health professionals to focus on both education and literacy when creating and providing diet and health-related interventions and resources.

Keywords: African Americans; Diet Quality; Dietary Supplement; Health Literacy; Numeracy.

Abstract

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