Aspects of Dietary Diversity Differ in Their Association with Atherosclerotic Cardiovascular Risk in a Racially Diverse US Adult Population.

Autor: Fanelli Kuczmarski M; University of Delaware, Department of Behavioral Health and Nutrition, 206C McDowell Hall, Newark, DE 19716, USA. mfk@udel.edu., Brewer BC; University of Delaware, College of Health Sciences, STAR, Newark, DE 19716, USA. bcbrewer@udel.edu., Rawal R; University of Delaware, Department of Medical Laboratory Sciences, 206C McDowell Hall, Newark, DE 19716, USA. rita@udel.edu., Pohlig RT; University of Delaware, College of Health Sciences, STAR, Newark, DE 19716, USA. rpohlig@udel.edu., Zonderman AB; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, 251 Bayview Blvd, Baltimore, MD 21224, USA. zondermana@mail.nih.gov., Evans MK; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, 251 Bayview Blvd, Baltimore, MD 21224, USA. evansm@grc.nia.nih.gov.
Jazyk: angličtina
Zdroj: Nutrients [Nutrients] 2019 May 08; Vol. 11 (5). Date of Electronic Publication: 2019 May 08.
DOI: 10.3390/nu11051034
Abstrakt: The study objectives were to measure dietary diversity (DD) of an urban US population and to determine if associations of 10 year atherosclerotic cardiovascular (ASCVD) risk with DD were independent of dietary quality. Participants were drawn from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study, wave 4 ( n = 2066, 1259 African Americans (AA), 807 Whites (W). Three DD measures were derived from 2 days of 24 h recall data collected with the USDA automated-multiple-pass-method. Count was based on consumption of at least half an equivalent of food from 21 subgroups. Evenness was calculated using Berry Index (BI) and BI-adjusted by food health values. Dissimilarity was calculated by Mahalanobis Distance. Diet quality was assessed by Mean Nutrient Adequacy (MAR) and DASH scores. Associations of DD and quality with ASCVD risk, calculated using 2013 American College of Cardiology and American Heart Association guidelines, were assessed with multivariable regression. Covariates included income, education, food security, and energy/kg weight. Count and MAR were positively associated whereas dissimilarity was negatively associated with ASCVD risk. There was no evidence that evenness contributed to cardiovascular health. The findings suggest more diversity in food attributes and diets rich in micronutrients rather than increased count support cardiovascular health.
Databáze: MEDLINE