Evidence map›Paper›PMID 35844875›Full record

ArticleFrontiers in public health2022

Trends of Blood Lead Levels in US Pregnant Women: The National Health and Nutrition Examination Survey (2001-2018).

Jing Wang, Yujie Yang, Juan Zhang, Na Liu, Huifang Xi, Hong Liang

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jing WangJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yujie YangJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China.
Juan ZhangJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China.
Na LiuJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China.
Huifang XiThe First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Hong LiangJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study investigates the trends of blood lead levels in US pregnant women based on the National Health and Nutrition Examination Survey from 2001 to 2018. Methods: A total of 1,230 pregnant women were included in this study. The weighted logistic regression was applied to analyze the association between sociodemographic characteristics with high blood levels. We computed the blood lead levels for each survey period from 2001-2002 to 2017-2018. Moreover, we used the adjusted linear regression model to investigate the time-related change in blood lead level. The odds ratio (OR) with a 95% confidence interval (CI) was calculated accordingly. Results: The mean blood lead was 0.73 ± 0.03 ug/dL, and high blood lead was observed in 2.53% of individuals. The Mexican Americans were more associated with high blood lead than the non-Hispanic white (OR, 1.072; 95% CI, 1.032-1.112). The mean blood lead level has decreased from 0.97 ug/dL in 2001-2002 to 0.46 ug/dL in 2013-2014. Afterward, a slight increase was observed with the mean blood lead of 0.55 ug/dL in 2015-2016 and 0.53 ug/dL in 2017-2018. In the adjusted linear regression model, each year's increase would lead to a 0.029 ug/dL decrease in blood lead ( Conclusion: This study summarized the trend of blood lead levels in US pregnant women over 2001-2018. Continued effort is still required to control lead sources better and protect this population from lead exposure.

Indexed as

LeadPregnant PeopleFemaleHumansLinear ModelsNutrition SurveysPregnancySurveys and QuestionnairesLeadblood lead levelslead exposurepregnancyprevalencetrend

Identifiers

PMID35844875
PMCPMC9283785

What OpenQuestion holds

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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.