Toward Advancing Precision Environmental Health: Developing a Customized Exposure Burden Score to PFAS Mixtures to Enable Equitable Comparisons Across Population Subgroups, Using Mixture Item Response Theory.

Liu, Shelley H; Feuerstahler, Leah; Chen, Yitong; Braun, Joseph M; Buckley, Jessie P

Liu, Shelley H; Feuerstahler, Leah; Chen, Yitong; Braun, Joseph M; Buckley, Jessie P.

Afiliação

Liu SH; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Feuerstahler L; Department of Psychology, Fordham University, Bronx, New York 10458, United States.
Chen Y; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Braun JM; Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States.
Buckley JP; Department of Environmental Health and Engineering, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, United States.

Environ Sci Technol ; 57(46): 18104-18115, 2023 Nov 21.

Article em En | MEDLINE | ID: mdl-37615359

Assuntos

Ácidos Alcanossulfônicos; Poluentes Ambientais; Fluorocarbonos; Humanos; Estados Unidos; Inquéritos Nutricionais; Saúde Ambiental

Palavras-chave

algorithmic bias; chemical mixtures; fairness; item response theory; latent variables; per- and polyfluoroalkyl substances; precision environmental health; psychometrics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ácidos Alcanossulfônicos / Poluentes Ambientais / Fluorocarbonos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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