{"doi":"10.1101/2022.06.30.22277013","title":"Shared and ethnic background site-specific dietary patterns in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)","abstract":"Abstract Dietary patterns (DPs) synthesize multiple related dietary components in one or more combined variables. A drawback of DPs is their limited reproducibility across subpopulations, especially adopting a posteriori DPs, derived using standard multivariate methods [e.g., factor analysis (FA)]. Standard approaches assessing reproducibility of FA-based DPs mostly rely on correlation coefficients/agreement measures between pairs of factors and do not consider any statistical model. Multi-study factor analysis builds upon standard FA model to identify DPs shared across all subpopulations and those specific to some subpopulations. Pattern reproducibility is investigated from a different perspective: a shared DP identified within multi-study factor analysis is “reproducible” since it is common to all subpopulations. Bayesian multi-study factor analysis (BMSFA) has been developed to improve DP retention and identification, two critical issues as the number of subpopulations analyzed increases. Using baseline (2008-2011) 24-hour dietary recalls from the Hispanic Community Health Study/Study of Latinos (n=16,415), we applied the BMSFA on 42 common nutrients to identify shared and subpopulation-specific DPs where subpopulations were defined as the cross-classification of ethnic background and study site (EBS). Overall, 4 shared DPs were identified: Plant-based foods, Processed foods, Dairy products , and Seafood . At the subpopulation level, we identified 12 EBS-specific DPs, one for each EBS category, primarily representing variants of foods from animal sources. Different nuances were expressed by subsets of fairly similar EBS-specific DPs, including an Animal vs. vegetable source , an Animal source only , and a Poultry vs. dairy products overarching DPs. Shared DPs from BMSFA were similar to their counterparts from standard FA and frequentist multi-study factor analysis; EBS-specific DPs from BMSFA were better characterized than those from frequentist multi-study factor analysis. In conclusion, the BMSFA successfully captured sources of both dietary homogeneity and heterogeneity in a large well-characterized study of US Hispanics/Latino adults by ethnic background and site.","journal":"medRxiv","year":2022,"id":298299,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9413,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":560818,"name":"Briana Stephenson","orcid":"0000-0002-6147-1039","position":1,"is_corresponding":false},{"id":427001,"name":"Daniela Sotres‐Alvarez","orcid":"0000-0002-3226-6140","position":2,"is_corresponding":false},{"id":549153,"name":"Anna‐Maria Siega‐Riz","orcid":null,"position":3,"is_corresponding":false},{"id":341235,"name":"Josiemer Mattei","orcid":"0000-0001-5424-8245","position":4,"is_corresponding":false},{"id":529003,"name":"Maria Parpinel","orcid":"0000-0003-1309-4467","position":5,"is_corresponding":false},{"id":291704,"name":"Brandilyn A. Peters","orcid":"0000-0002-1534-2578","position":6,"is_corresponding":false},{"id":680004,"name":"Sierra A. Bainter","orcid":"0000-0001-7461-0803","position":7,"is_corresponding":false},{"id":37779,"name":"Martha L. Daviglus","orcid":"0000-0002-6791-8727","position":8,"is_corresponding":false},{"id":37775,"name":"Linda Van Horn","orcid":"0000-0002-1362-5806","position":9,"is_corresponding":false},{"id":265964,"name":"Valeria Edefonti","orcid":"0000-0002-1995-1477","position":10,"is_corresponding":false},{"id":814324,"name":"Roberta De Vito","orcid":"0000-0003-0639-5341","position":0,"is_corresponding":true}],"reference_count":52,"raw_metadata":null,"created_at":"2026-07-19T00:31:36.269611Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}