التفاصيل البيبلوغرافية
| العنوان: |
Urinary concentrations of phthalate/DINCH metabolites and body mass index among European children and adolescents in the HBM4EU Aligned Studies: A cross-sectional multi-country study |
| المؤلفون: |
Anteneh Desalegn, Tessa Schillemans, Eleni Papadopoulou, Amrit K. Sakhi, Line S. Haug, Ida Henriette Caspersen, Andrea Rodriguez-Carrillo, Sylvie Remy, Greet Schoeters, Adrian Covaci, Michelle Laeremans, Mariana F Fernández, Susana Pedraza-Diaz, Tina Kold Jensen, Hanne Frederiksen, Agneta Åkesson, Bianca Cox, Shereen Cynthia D’Cruz, Loïc Rambaud, Margaux Riou, Marike Kolossa-Gehring, Antje Gerofke, Aline Murawski, Nina Vogel, Catherine Gabriel, Spyros Karakitsios, Nafsika Papaioannou, Dimosthenis Sarigiannis, Fabio Barbone, Valentina Rosolen, Sanna Lignell, Anna Karin Lindroos, Janja Snoj Tratnik, Anja Stajnko, Tina Kosjek, Žiga Tkalec, Lucia Fabelova, Lubica Palkovicova Murinova, Branislav Kolena, Sona Wimmerova, Tamás Szigeti, Szilvia Középesy, Annick van den Brand, Jan-Paul Zock, Beata Janasik, Wojciech Wasowicz, Annelies De Decker, Stefaan De Henauw, Eva Govarts, Nina Iszatt |
| المصدر: |
Environment International, Vol 190, Iss , Pp 108931- (2024) |
| بيانات النشر: |
Elsevier, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Environmental sciences |
| مصطلحات موضوعية: |
Environmental sciences, GE1-350 |
| الوصف: |
Background: Phthalates are ubiquitous in the environment. Despite short half-lives, chronic exposure can lead to endocrine disruption. The safety of phthalate substitute DINCH is unclear. Objective: To evaluate associations between urinary concentrations of phthalate/DINCH metabolites and body mass index (BMI) z-score among children and adolescents. Method: We used Human Biomonitoring for Europe Aligned Studies data from 2876 children (12 studies, 6–12 years, 2014–2021) and 2499 adolescents (10 studies, 12–18 years, 2014–2021) with up to 14 phthalate/DINCH urinary metabolites. We used multilevel linear regression to assess associations between phthalate/DINCH concentrations and BMI z-scores, testing effect modification by sex. In a subset, Bayesian kernel machine regression (BKMR) and quantile-based g-computation assessed important predictors and mixture effects. Results: In children, we found few associations in single pollutant models and no interactions by sex (p-interaction > 0.1). BKMR detected no relevant exposures (posterior inclusion probabilities, PIPs |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
0160-4120 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S0160412024005178; https://doaj.org/toc/0160-4120 |
| DOI: |
10.1016/j.envint.2024.108931 |
| URL الوصول: |
https://doaj.org/article/dfc59f32f388452a84bc4d2ae3765c81 |
| رقم الانضمام: |
edsdoj.fc59f32f388452a84bc4d2ae3765c81 |
| قاعدة البيانات: |
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