The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Manganese exposure from drinking water and children's academic achievement
Open accessAbstract
Drinking water manganese (WMn) is a potential threat to children’s health due to its associations with a wide range of outcomes including cognitive, behavioral and neuropsychological effects. Although adverse effects of Mn on cognitive function of the children indicate possible impact on their academic achievement little evidence on this issue is available.. Moreover, little is known regarding potential interactions between exposure to Mn and other metals, especially water arsenic (WAs). In Araihazar, a rural area of Bangladesh, we conducted a cross-sectional study of 840 children to investigate associations between WMn and WAs and academic achievement in mathematics and languages among elementary school-children, aged 8–11 years. Data on As and Mn exposure were collected from the participants at the baseline of an ongoing longitudinal study of school-based educational intervention. Annual scores of the study children in languages (Bangla and English) and mathematics were obtained from the academic achievement records of the elementary schools. WMn above the WHO standard of 400 μg/L was associated with 6.4 percentage score loss (95% CI=0.5, 12.3) in mathematics achievement test scores, adjusted for WAs and other sociodemographic variables. We did not find any significant associations between WMn and academic achievement in either language. Neither WAs nor urinary As was significantly related to any of the three academic achievement scores. Our finding suggests that a large number of children in rural Bangladesh may experience deficits in mathematics due to high concentrations of Mn exposure in drinking water.
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
Cites
School readiness and later achievement.
Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., Pagani, L. S., Feinstein, L., Engel, M., Brooks-Gunn, J., et al. (2007) · Developmental Psychology · doi:10.1037/0012-1649.43.6.1428 · Cited by 5,439
Bull, R., Espy, K. A., & Wiebe, S. A. (2008) · Developmental Neuropsychology · doi:10.1080/87565640801982312 · Cited by 1,544 · cited 2×
“Our study results are consistent with the literature that showed poor working memory as a predictor of mathematics achievement (Bull and Scerif, 2001; Bull et al., 2008; Geary et al., 2004).”
BackgroundResultBull, R., & Scerif, G. (2001) · Developmental Neuropsychology · doi:10.1207/s15326942dn1903_3 · Cited by 1,501 · cited 1×
“Our study results are consistent with the literature that showed poor working memory as a predictor of mathematics achievement (Bull and Scerif, 2001; Bull et al., 2008; Geary et al., 2004).”
ResultMyhrer, T. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00268-0 · Cited by 472
Andersson, U. (2008) · British Journal of Educational Psychology · doi:10.1348/000709907x209854 · Cited by 174 · cited 1×
“More specifically working memory is a strong predictor of arithmetic skills (Andersson, 2008), which are the predominant forms of mathematics learning in Bangladeshi elementary school system.”
Background
Cited by
Neurobehavioural effects of developmental toxicity
Grandjean, P., & Landrigan, P. J. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70278-3 · Cited by 1,886
Akter, T., Jhohura, F. T., Akter, F., Chowdhury, T. R., Mistry, S. K., Dey, D., Barua, M. K., Islam, M. A., & Rahman, M. (2016) · Journal of Health, Population and Nutrition · doi:10.1186/s41043-016-0041-5 · Cited by 285
Rahman, S. M., Kippler, M., Tofail, F., Bölte, S., Derakhshani Hamadani, J., & Vahter, M. (2017) · Environmental Health Perspectives · doi:10.1289/ehp631 · Cited by 133
Manganese exposure: cognitive, motor and behavioral effects on children a review of recent findings
Zoni, S., & Lucchini, R. G. (2013) · Current Opinion in Pediatrics · doi:10.1097/mop.0b013e32835e906b · Cited by 121
Metadata
- Authors
- Khan, K., Wasserman, G. A., Liu, X., Ahmed, E., Parvez, F., Slavkovich, V., Levy, D., Mey, J., van Geen, A., Graziano, J. H., & Factor-Litvak, P.
- Venue
- NeuroToxicology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 33
- Issue
- 1
- Pages
- 91-97
- ISSN
- 0161-813X (ISSN-L)
- OpenAlex
- W2046186373
- Cited by
- 252
- References
- 5
- FWCI
- 6.22
- Type
- journal article
- Language
- en
- Open access
- green
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: Manganese exposure from drinking water and children's academic achievement. https://app.cochat.ai/papers/10.1016/j.neuro.2011.12.002
- The paper
- Khan, K., Wasserman, G. A., Liu, X., Ahmed, E., Parvez, F., Slavkovich, V., Levy, D., Mey, J., van Geen, A., Graziano, J. H., & Factor-Litvak, P. (2012). Manganese exposure from drinking water and children's academic achievement. NeuroToxicology. https://doi.org/10.1016/j.neuro.2011.12.002
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.
