Literature DB >> 28843646

Characterizing the effect of endocrine disruptors on human health: The role of epidemiological cohorts.

Rémy Slama1, Céline Vernet2, Feiby L Nassan3, Russ Hauser3, Claire Philippat2.   

Abstract

Research on endocrine disruptors (EDs) developed from numerous disciplines. In this concert of disciplines, epidemiology is central to inform on the relevance for humans of mechanisms and dose-response functions identified in animals, to characterize the health impact (number of attributable disease cases), the cost associated with ED exposure, and the efficiency of the measures taken to limit exposure. Here, we present epidemiological tools to draw valid inference regarding effects of potential EDs. Epidemiology is generally observational, requiring care to control confounding bias. Many potential EDs have a short biological half-life; approaches relying on repeated biospecimens sampling allow limiting exposure misclassification and the resulting bias. For non-persistent compounds, couple-child cohorts are a central study design. Cohorts can now rely on molecular biology approaches to characterize exposures and intermediate pathways, which corresponds to the advent of molecular epidemiology and allows stronger interactions between epidemiology, toxicology, and molecular epidemiology to characterize the health effects of EDs.
Copyright © 2017 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Biais de classement; Biais de confusion; Causality; Causalité; Cohort; Cohorte; Confounding; Endocrine disruptors; Epidemiology; Erreur de mesure; Exposure misclassification; Measurement error; Perturbateur endocrinien; Toxicologie; Toxicology; Épidémiologie

Mesh:

Substances:

Year:  2017        PMID: 28843646     DOI: 10.1016/j.crvi.2017.07.008

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  4 in total

Review 1.  Men´s reproductive alterations caused by bisphenol A and its analogues: a review.

Authors:  T Jambor; N Knížatová; N Lukáč
Journal:  Physiol Res       Date:  2021-12-30       Impact factor: 2.139

2.  An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies.

Authors:  Céline Vernet; Claire Philippat; Lydiane Agier; Antonia M Calafat; Xiaoyun Ye; Sarah Lyon-Caen; Pierre Hainaut; Valérie Siroux; Enrique F Schisterman; Rémy Slama
Journal:  Epidemiology       Date:  2019-09       Impact factor: 4.822

3.  Deciphering the Impact of Early-Life Exposures to Highly Variable Environmental Factors on Foetal and Child Health: Design of SEPAGES Couple-Child Cohort.

Authors:  Sarah Lyon-Caen; Valérie Siroux; Johanna Lepeule; Philippe Lorimier; Pierre Hainaut; Pascal Mossuz; Joane Quentin; Karine Supernant; David Meary; Laurence Chaperot; Sam Bayat; Flemming Cassee; Sarah Valentino; Anne Couturier-Tarrade; Delphine Rousseau-Ralliard; Pascale Chavatte-Palmer; Claire Philippat; Isabelle Pin; Rémy Slama; The Sepages Study Group
Journal:  Int J Environ Res Public Health       Date:  2019-10-14       Impact factor: 3.390

4.  The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin.

Authors:  Yue Zhai; Amina Amadou; Béatrice Fervers; Pascal Roy; Catherine Mercier; Delphine Praud; Elodie Faure; Jean Iwaz; Gianluca Severi; Francesca Romana Mancini; Thomas Coudon
Journal:  Eur J Epidemiol       Date:  2021-07-12       Impact factor: 8.082

  4 in total

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