Literature DB >> 27466755

Novel application of statistical methods for analysis of multiple toxicants identifies DDT as a risk factor for early child behavioral problems.

Joan Forns1, Siddhartha Mandal1, Nina Iszatt1, Anuschka Polder2, Cathrine Thomsen3, Jan Ludvig Lyche4, Hein Stigum5, Roel Vermeulen6, Merete Eggesbø7.   

Abstract

BACKGROUND: The aim of this study was to assess the association between postnatal exposure to multiple persistent organic pollutants (POPs) measured in breast milk samples and early behavioral problems using statistical methods to deal with correlated exposure data.
METHODS: We used data from the Norwegian HUMIS study. We measured concentrations of 24 different POPs in human milk from 612 mothers (median collection time: 32 days after delivery), including 13 polychlorinated biphenyls (PCB) congeners, 6 polybrominated diphenyl ethers (PBDE) congeners and five organochlorine compounds. We assessed child behavioral problems at 12 and 24 months using the infant toddler symptom checklist (ITSC). Higher score in ITSC corresponds to more behavioral problems. First we performed principal component analysis (PCA). Then two variable selection methods, elastic net (ENET) and Bayesian model averaging (BMA), were applied to select any toxicants associated with behavioral problems. Finally, the effect size of the selected toxicants was estimated using multivariate linear regression analyses.
RESULTS: p,p'-DDT was associated with behavioral problems at 12 months in all the applied models. Specifically, the principal component composed of organochlorine pesticides was significantly associated with behavioral problems and both ENET and BMA identified p,p'-DDT as associated with behavioral problems. Using a multiple linear regression model an interquartile increase in p,p'-DDT was associated with a 0.62 unit increase in ITSC score (95% CI 0.45, 0.79) at 12 months, corresponding to more behavioral problems. The association was modified by maternal education: the effect of p,p'-DDT was strongest in women with lower education (β=0.59; 95%CI: 0.38, 0.81) compared to the mother with higher education (β=0.14; 95%CI: -0.05, 0.34) (p-value for interaction=0.089). At 24 months, neither selection method consistently identified any toxicant associated with behavioral problems.
CONCLUSION: Within a mixture of 24 toxicants measured in breast milk, p,p'-DDT was the single toxicant associated with behavioral problems at 12 months using different methods for handling numerous correlated exposures.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Child development; Chlordane; Complex mixtures; Dichlorodiphenyl dichloroethylene; Dichlorodiphenyldichloroethane; Hexachlorobenzene; Nervous system; Polybrominated diphenyl ethers; Polychlorinated biphenyls

Mesh:

Substances:

Year:  2016        PMID: 27466755     DOI: 10.1016/j.envres.2016.07.014

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  13 in total

1.  Prenatal exposure to a mixture of persistent organic pollutants (POPs) and child reading skills at school age.

Authors:  Ann M Vuong; Changchun Xie; Roman Jandarov; Kim N Dietrich; Hongmei Zhang; Andreas Sjödin; Antonia M Calafat; Bruce P Lanphear; Lawrence McCandless; Joseph M Braun; Kimberly Yolton; Aimin Chen
Journal:  Int J Hyg Environ Health       Date:  2020-06-07       Impact factor: 5.840

2.  In-utero exposure to DDT and pyrethroids and child behavioral and emotional problems at 2 years of age in the VHEMBE cohort, South Africa.

Authors:  Sookee An; Stephen A Rauch; Angelina Maphula; Muvhulawa Obida; Katherine Kogut; Riana Bornman; Jonathan Chevrier; Brenda Eskenazi
Journal:  Chemosphere       Date:  2022-07-04       Impact factor: 8.943

Review 3.  Effects of Organochlorine Pesticide Residues in Maternal Body on Infants.

Authors:  Shi-Yu Qi; Xue-Ling Xu; Wen-Zhi Ma; Shou-Long Deng; Zheng-Xing Lian; Kun Yu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-09       Impact factor: 6.055

4.  Thyroid-stimulating hormone levels in newborns and early life exposure to endocrine-disrupting chemicals: analysis of three European mother-child cohorts.

Authors:  Marijke de Cock; Michiel R de Boer; Eva Govarts; Nina Iszatt; Lubica Palkovicova; Marja H Lamoree; Greet Schoeters; Merete Eggesbø; Tomas Trnovec; Juliette Legler; Margot van de Bor
Journal:  Pediatr Res       Date:  2017-06-07       Impact factor: 3.756

5.  Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study.

Authors:  Xiuming Feng; Longman Li; Lulu Huang; Haiying Zhang; Zengnan Mo; Xiaobo Yang
Journal:  Biol Trace Elem Res       Date:  2020-10-03       Impact factor: 3.738

6.  Evaluating associations between early pregnancy trace elements mixture and 2nd trimester gestational glucose levels: A comparison of three statistical approaches.

Authors:  Yinnan Zheng; Cuilin Zhang; Marc G Weisskopf; Paige L Williams; Birgit Claus Henn; Patrick J Parsons; Christopher D Palmer; Germaine M Buck Louis; Tamarra James-Todd
Journal:  Int J Hyg Environ Health       Date:  2019-12-28       Impact factor: 5.840

Review 7.  Infant Dietary Exposures to Environmental Chemicals and Infant/Child Health: A Critical Assessment of the Literature.

Authors:  Judy S LaKind; Geniece M Lehmann; Matthew H Davis; Erin P Hines; Satori A Marchitti; Cecilia Alcala; Matthew Lorber
Journal:  Environ Health Perspect       Date:  2018-09       Impact factor: 9.031

8.  Flame retardants and neurodevelopment: An updated review of epidemiological literature.

Authors:  Ann M Vuong; Kimberly Yolton; Kim M Cecil; Joseph M Braun; Bruce P Lanphear; Aimin Chen
Journal:  Curr Epidemiol Rep       Date:  2020-11-10

Review 9.  Thyroid-disrupting chemicals and brain development: an update.

Authors:  Bilal B Mughal; Jean-Baptiste Fini; Barbara A Demeneix
Journal:  Endocr Connect       Date:  2018-03-23       Impact factor: 3.335

10.  Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES.

Authors:  Sung Kyun Park; Zhangchen Zhao; Bhramar Mukherjee
Journal:  Environ Health       Date:  2017-09-26       Impact factor: 5.984

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