Effects of maternal arsenic exposure on birth outcomes using harmonized data across three birth cohorts
While harmonizing data across multiple cohorts increased the sample size, it did not necessarily enhance statistical power or strengthen observed associations. Differences in data collection, laboratory methods, and available covariates posed significant challenges. These findings underscore the need for caution when interpreting pooled results from heterogeneous sources and highlight the importance of prospective planning for data harmonization in multi-cohort studies.
Authors
- Daniel Beene (ORCID: https://orcid.org/0000-0003-1286-5514)
- D. N. MacKenzie
- Justin Manjourides (ORCID: https://orcid.org/0000-0002-2454-4489)
- Antonio J. Signes‐Pastor (ORCID: https://orcid.org/0000-0003-4898-2480)
- Zlatan Feric
- K. Karr
- David Kaeli
- Deborah J. Watkins
- Griffith Gao
Institutions
- Dartmouth College (US)
- Universitat de Miguel Hernández d'Elx (ES)
- New Mexico Department of Health (US)
- Northeastern University (US)
- Johns Hopkins University (US)
- University of New Mexico (US)
- University of Michigan (US)
- Instituto de Salud Carlos III (ES)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL) (ES)
Publication Details
- Journal
- Toxicology and Environmental Health Sciences
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1007/s13530-025-00292-6
- Primary Topic
- Arsenic contamination and mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00