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Empirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos.

TitleEmpirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos.
Publication TypePublication
Year2020
AuthorsStephenson BJK, Sotres-Alvarez D, Siega-Riz A-M, Mossavar-Rahmani Y, Daviglus ML, Van Horn L, Herring AH, Cai J
JournalJ Nutr
Volume150
Issue10
Pagination2825-2834
Date Published2020 10 12
ISSN1541-6100
KeywordsAdolescent, Adult, Aged, Cluster Analysis, Cohort Studies, diet, Diet Surveys, Feeding Behavior, Hispanic Americans, Humans, Middle Aged, United States, Young Adult
Abstract

BACKGROUND: Latent class models (LCMs) have been used in exploring dietary behaviors over a wide set of foods and beverages in a given population, but are prone to overgeneralize these habits in the presence of variation by subpopulations.OBJECTIVES: This study aimed to highlight unique dietary consumption differences by both study site and ethnic background of Hispanic/Latino populations in the United States, that otherwise might be missed in a traditional LCM of the overall population. This was achieved using a new model-based clustering method, referred to as robust profile clustering (RPC).METHODS: A total of 11,320 individuals aged 18-74 y from the Hispanic Community Health Study/Study of Latinos (2008-2011) with complete diet data were classified into 9 subpopulations, defined by study site (Bronx, Chicago, Miami, San Diego) and ethnic background. At baseline, dietary intake was ascertained using a food propensity questionnaire. Dietary patterns were derived from 132 food groups using the RPC method to identify patterns of the general Hispanic/Latino population and those specific to an identified subpopulation. Dietary patterns derived from the RPC were compared to those identified from an LCM.RESULTS: The LCM identified 48 shared consumption behaviors of foods and beverages across the entire cohort, whereas significant consumption differences in subpopulations were identified in the RPC model for these same foods. Several foods were common within study site (e.g., chicken, orange juice, milk), ethnic background (e.g., papayas, plantain, coffee), or both (e.g., rice, tomatoes, seafood). Post hoc testing revealed an improved model fit in the RPC model [Deviance Information Criterion DICRPC = 2.3 × 104, DICLCM  = 9.5 × 106].CONCLUSIONS: Dietary pattern behaviors of Hispanics/Latinos in the United States tend to align by ethnic background for some foods and by location for other foods. Consideration of both factors is imperative to better understand their contributions to population health and developing targeted nutrition intervention studies.

DOI10.1093/jn/nxaa208
Alternate JournalJ Nutr
PubMed ID32710754
PubMed Central IDPMC7549309
Grant ListR01 AG055527 / AG / NIA NIH HHS / United States
N01HC65236 / HL / NHLBI NIH HHS / United States
N01HC65235 / HL / NHLBI NIH HHS / United States
N01HC65234 / HL / NHLBI NIH HHS / United States
N01HC65233 / HL / NHLBI NIH HHS / United States
N01HC65237 / HL / NHLBI NIH HHS / United States
MS#: 
0649
Manuscript Lead/Corresponding Author Affiliation: 
Coordinating Center - Collaborative Studies Coordinating Center - UNC at Chapel Hill
ECI: 
Manuscript Affiliation: 
Coordinating Center - Collaborative Studies Coordinating Center - UNC at Chapel Hill
Manuscript Status: 
Published