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TitleAdherence to an (n-3) fatty acid/fish intake pattern is inversely associated with metabolic syndrome among Puerto Rican adults in the Greater Boston area
Publication TypeJournal Article
Year of Publication2010
AuthorsNoel SE, Newby PK, Ordovas JM, Tucker KL
JournalThe Journal of Nutrition
Volume140
Pagination1846–1854
Date Published10/2010
ISSN1541-6100
KeywordsAged, Animals, Blood Glucose, Body Mass Index, Boston, diet, Dietary Fats, Fasting, fatty acids, Female, Fishes, Humans, Logistic Models, Male, Metabolic Syndrome X, Middle Aged, Omega-3, Puerto Rico, Unsaturated
Abstract

Combinations of fatty acids may affect risk of metabolic syndrome. Puerto Ricans have a disproportionate number of chronic conditions compared with other Hispanic groups. We aimed to characterize fatty acid intake patterns of Puerto Rican adults aged 45-75 y and living in the Greater Boston area (n = 1207) and to examine associations between these patterns and metabolic syndrome. Dietary fatty acids, as a percentage of total fat, were entered into principle components analysis. Spearman correlation coefficients were used to examine associations between fatty acid intake patterns, nutrients, and food groups. Associations with metabolic syndrome were analyzed by using logistic regression and general linear models with quintiles of principal component scores. Four principal components (factors) emerged: factor 1, short- and medium-chain {SFA/dairy;} factor 2, (n-3) fatty acid/fish; factor 3, very long-chain {(VLC)} {SFA} and {PUFA/oils;} and factor 4, monounsaturated fatty acid/trans fat. The {SFA/dairy} factor was inversely associated with fasting serum glucose concentrations {(P} = 0.02) and the {VLC} {SFA/oils} factor was negatively related to waist circumference {(P} = 0.008). However, these associations were no longer significant after additional adjustment for {BMI.} The (n-3) fatty acid/fish factor was associated with a lower likelihood of metabolic syndrome {(Q5} vs. Q1: odds ratio: 0.54, 95% {CI:} 0.34, 0.86). In summary, principal components analysis of fatty acid intakes revealed 4 dietary fatty acid patterns in this population. Identifying optimal combinations of fatty acids may be beneficial for understanding relationships with health outcomes given their diverse effects on metabolism.

URLhttp://www.ncbi.nlm.nih.gov/pubmed/20702744
DOI10.3945/jn.110.124297