A two-step Bayesian clustering approach to relate PFAS mixture profiles and dietary patterns in early pregnancy.

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Title: A two-step Bayesian clustering approach to relate PFAS mixture profiles and dietary patterns in early pregnancy.
Authors: Wang X; Harvard T.H. Chan School of Public Health, Department of Biostatistics, USA., James-Todd T; Harvard T.H. Chan School of Public Health, Department of Environmental Health, USA; Harvard T.H. Chan School of Public Health, Department of Epidemiology, USA., Zota AR; Columbia University Mailman School of Public Health, Department of Environmental Health Sciences, USA., Shawler L; Harvard T.H. Chan School of Public Health, Department of Biostatistics, USA., Lin PD; Harvard Pilgrim Health Care Institute and Harvard Medical School, Department of Population Medicine, USA., Oken E; Harvard Pilgrim Health Care Institute and Harvard Medical School, Department of Population Medicine, USA; Harvard T.H. Chan School of Public Health, Department of Nutrition, USA., Chavarro J; Harvard T.H. Chan School of Public Health, Department of Nutrition, USA., Sagiv S; University of California, Berkeley School of Public Health, Department of Epidemiology, USA., Stephenson BJK; Harvard T.H. Chan School of Public Health, Department of Biostatistics, USA. Electronic address: bstephenson@hsph.harvard.edu.
Source: Environmental research [Environ Res] 2026 Jun 15; Vol. 300, pp. 124393. Date of Electronic Publication: 2026 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1096-0953
DOI:10.1016/j.envres.2026.124393