ArticleThe Journal of nutrition2020
Empirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos.
Article in The Journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- A two-step Bayesian clustering approach to relate PFAS mixture profiles and dietary patterns in early pregnancy.Environmental research · 2026Article
- A Bayesian mixture model approach to examining neighbourhood social determinants of health in endometrial cancer care in Massachusetts.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026Article
- baysc: An R package for Bayesian survey clustering.Journal of open source software · 2026Article
- TREE-REGULARIZED BAYESIAN LATENT CLASS ANALYSIS FOR IMPROVING WEAKLY SEPARATED DIETARY PATTERN SUBTYPING IN SMALL-SIZED SUBPOPULATIONS.The annals of applied statistics · 2025Article
- Identifying and characterizing shared and ethnic background site-specific dietary patterns in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).Nutrition journal · 2025Article
- Prevalence and Risk Factors of Iron Deficiency and Anemia in Women of Reproductive Age in the Hispanic Community Health Study/Study of Latinos.Current developments in nutrition · 2024Article
- Examining Generalizability across Different Surveys: Comparing Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health in the United States Hispanic/Latino Adults.Current developments in nutrition · 2024Article
- Associations between sodium, potassium, and blood pressure: results from the Hispanic Community Health Study/Study of Latinos, a prospective cohort study.The American journal of clinical nutrition · 2024Article
- Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2024Article
- Examining Generalizability of Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health for Hispanic/Latino Adults in the US: Results from the National Health and Nutrition Examination Survey (NHANES) and the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).medRxiv : the preprint server for health sciences · 2023Article
- Racial and ethnic heterogeneity in diets of low-income adult females in the United States: results from National Health and Nutrition Examination Surveys from 2011 to 2018.The American journal of clinical nutrition · 2023Observational
- Bayesian estimation methods for survey data with potential applications to health disparities research.Wiley interdisciplinary reviewsArticle
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Authors and funding
8 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundLatent 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.
objectivesThis 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).
methodsA 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.
resultsThe 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].
conclusionsDietary 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.
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