The DOI matches its Crossref record.
Prenatal lead exposure in relation to gestational age and birth weight: A review of epidemiologic studies
Abstract
Although the adverse effect on pregnancy outcomes at high levels of lead exposure in the workplace has been recognized for years, there is uncertainty regarding the impact of exposure at the lower community exposure levels commonly encountered today. This review summarizes the epidemiologic literature and discusses pertinent methodologic issues and possible sources of interstudy variation. The authors conclude that prenatal lead exposure is unlikely to increase the risk of premature membrane rupture but does appear to increase the risk of preterm delivery. Whether prenatal lead exposure decreases gestational age in terms of infants is unclear. Prenatal lead exposure also appears to be associated with reduced birth weight, but results vary in relation to study design and degree of control for confounding. Adjustment for gestational age, a possible confounder of the birth weight‐lead exposure association, did not yield clearer results.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Influence of Prenatal Lead Exposure on Genomic Methylation of Cord Blood DNA
Pilsner, J. R., Hu, H., Ettinger, A., Sánchez, B. N., Wright, R. O., Cantonwine, D., Lazarus, A., Lamadrid-Figueroa, H., Mercado-García, A., Téllez-Rojo, M. M., et al. (2009) · Environmental Health Perspectives · doi:10.1289/ehp.0800497 · Cited by 275
Metadata
- Authors
- Andrews, K. W., Savitz, D. A., & Hertz‐Picciotto, I.
- Venue
- American Journal of Industrial Medicine
- Publisher
- Wiley
- Published
- 1994-07
- Volume
- 26
- Issue
- 1
- Pages
- 13-32
- ISSN
- 0271-3586 (ISSN-L)
- 1097-0274
- OpenAlex
- W2035376178
- Cited by
- 165
- References
- 0
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prenatal lead exposure in relation to gestational age and birth weight: A review of epidemiologic studies. https://app.cochat.ai/papers/10.1002/ajim.4700260103
- The paper
- Andrews, K. W., Savitz, D. A., & Hertz‐Picciotto, I. (1994). Prenatal lead exposure in relation to gestational age and birth weight: A review of epidemiologic studies. American Journal of Industrial Medicine. https://doi.org/10.1002/ajim.4700260103
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.