Evidence map›Paper›PMID 27023578›Full record

ReviewInternational journal of environmental research and public health2016

Children's Blood Lead Seasonality in Flint, Michigan (USA), and Soil-Sourced Lead Hazard Risks.

Mark A S Laidlaw, Gabriel M Filippelli, Richard C Sadler, Christopher R Gonzales, Andrew S Ball, Howard W Mielke

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Blood Lead Monitoring in a Former Mining Area in Euskirchen, Germany-Volunteers across the Entire Population.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Soil Lead (Pb) in New Orleans: A Spatiotemporal and Racial Analysis.International journal of environmental research and public health · 2021
    Article
  13. Inaction on Lead Despite the Relevant Knowledge: Predictors, Covariates, and Outreach Implications.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
  16. Lead Toxicity: Health Hazards, Influence on Food Chain, and Sustainable Remediation Approaches.International journal of environmental research and public health · 2020
    Review
  17. Article
  18. Intestinal Microbiome and Metal Toxicity.Current opinion in toxicology · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Mark A S LaidlawCentre for Environmental Sustainability and Remediation (EnSuRe), School of Science, Royal Melbourne Institute of Technology (RMIT) University, PO Box 71, Bundoora, Victoria 3083, Australia. mark.laidlaw@rmit.edu.au.
Gabriel M FilippelliDepartment of Earth Sciences and Center for Urban Health, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA. gfilippe@iupui.edu.
Richard C SadlerDepartment of Family Medicine, College of Human Medicine, Michigan State University, Flint, MI 48502, USA. sadlerr@msu.edu.
Christopher R GonzalesDepartment of Pharmacology, Tulane University School of Medicine, New Orleans, LA 70112, USA. cgonza3@tulane.edu.
Andrew S BallCentre for Environmental Sustainability and Remediation (EnSuRe), School of Science, Royal Melbourne Institute of Technology (RMIT) University, PO Box 71, Bundoora, Victoria 3083, Australia. andy.ball@rmit.edu.au.
Howard W MielkeDepartment of Pharmacology, Tulane University School of Medicine, New Orleans, LA 70112, USA. hmielke@tulane.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Flint; MI; USA; a public health crisis resulted from the switching of the water supply from Lake Huron to a more corrosive source from the Flint River in April 2014; which caused lead to leach from water lines. Between 2010 and 2015; Flint area children's average blood lead patterns display consistent peaks in the third quarter of the year. The third quarter blood lead peaks displayed a declining trend between 2010 and 2013; then rose abruptly between the third quarters of 2013 from 3.6% blood lead levels ≥5 µg/dL to a peak of about 7% in the third quarter of 2014; an increase of approximately 50%. The percentage of blood lead level ≥5 µg/dL in the first quarter of 2015 then dropped to 2.3%; which was the same percentage as the first quarter of 2014 (prior to the Flint River water source change). The Flint quarterly blood lead level peak then rose to about 6% blood lead levels ≥ 5 µg/dL in the third quarter of 2015; and then declined to about 2.5% in the fourth quarter of 2015. Soil lead data collected by Edible Flint food collaborative reveal generally higher soil lead values in the metropolitan center for Flint; with lower values in the outskirts of the city. The questions that are not being asked is why did children's blood lead levels display a seasonal blood lead pattern before the introduction of the new water supply in Flint; and what are the implications of these seasonal blood lead patterns? Based upon previous findings in Detroit and other North American cities we infer that resuspension to the air of lead in the form of dust from lead contaminated soils in Flint appears to be a persistent contribution to lead exposure of Flint children even before the change in the water supply from Lake Huron to the Flint River.

Indexed as

SeasonsChildCitiesDustEnvironmental ExposureEnvironmental PollutionHumansLeadLead PoisoningMichiganPublic HealthRiskSoilSoil PollutantsWater SupplyDustLeadSoilSoil Pollutantsblood leadFlintlead exposurelead poisoningseasonalitysoilwater

Identifiers

PMID27023578
PMCPMC4847020

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.