Literature DB >> 34570188

Individual- and Community-Level Factors Associated With Detectable and Elevated Blood Lead Levels in US Children: Results From a National Clinical Laboratory.

Marissa Hauptman1,2, Justin K Niles3, Jeffrey Gudin3,4, Harvey W Kaufman3.   

Abstract

Importance: No safe level of exposure to lead has been identified. Objective: To evaluate individual- and community-level factors associated with detectable and elevated blood lead levels (BLLs) in children. Design, Setting, and Participants: This cross-sectional, retrospective study analyzed deidentified results from blood lead tests performed at a large clinical laboratory from October 1, 2018, to February 29, 2020. Participants were 1 141 441 children younger than 6 years living in all 50 US states and the District of Columbia who underwent blood lead testing during the study period. Children who underwent lead testing of unknown source and those with elevated BLLs who received capillary blood lead testing without confirmatory venous testing were excluded. Exposures: Individual demographic categories included sex, age, and insurance type; community-level demographic categories included pre-1950s housing, poverty, predominant race and ethnicity, and geographical regions. Main Outcomes and Measures: Proportions of children with detectable (≥1.0 μg/dL) and elevated (≥5.0 μg/dL) BLLs, by exposure category.
Results: Of the 1 141 441 children (586 703 boys [51.4%]; mean [SD] age, 2.3 [1.4] years) in the study, more than half of the children tested (576 092 [50.5%; 95% CI, 50.4%-50.6%]) had detectable BLLs, and 21 172 children (1.9% [95% CI, 1.8%-1.9%]) had BLLs of 5.0 μg/dL or more. In multivariable analyses, children with public insurance had greater odds of having detectable BLLs (adjusted odds ratio [AOR], 2.01 [95% CI, 1.99-2.04]) and elevated BLLs (AOR, 1.08 [95% CI, 1.04-1.12]). The proportion of children with detectable and elevated BLLs increased significantly for progressive pre-1950s housing and poverty quintiles (P < .001). The odds of detectable BLLs were significantly higher among children in the highest vs lowest quintile of pre-1950s housing (AOR, 1.65 [95% CI, 1.62-1.68]) and of poverty (AOR, 1.89 [95% CI, 1.86-1.93]). A similar association was found for those with elevated BLLs, with an AOR of 3.06 (95% CI, 2.86-3.27) for the highest vs lowest quintile of pre-1950 housing and 1.99 (95% CI, 1.88-2.11) for the highest quintile of poverty. Children residing in zip codes with predominantly Black non-Hispanic and non-Latinx populations had higher odds of detectable BLLs (AOR, 1.13 [95% CI, 1.11-1.15]) but lower odds for elevated BLL (AOR, 0.83 [95% CI, 0.80-0.88]). Conclusions and Relevance: This study suggests that, despite progress in reducing pediatric lead exposure, substantial individual- and community-level disparities persist.

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Year:  2021        PMID: 34570188      PMCID: PMC8477303          DOI: 10.1001/jamapediatrics.2021.3518

Source DB:  PubMed          Journal:  JAMA Pediatr        ISSN: 2168-6203            Impact factor:   26.796


  5 in total

1.  Targeting Coordinated Federal Efforts to Address Persistent Hazardous Exposures to Lead.

Authors:  Patrick N Breysse; Wayne E Cascio; Andrew M Geller; Conrad J Choiniere; Matthew Ammon
Journal:  Am J Public Health       Date:  2022-09       Impact factor: 11.561

2.  A Generalizable Evaluated Approach, Applying Advanced Geospatial Statistical Methods, to Identify High Lead Exposure Locations at Census Tract Scale: Michigan Case Study.

Authors:  Jianping Xue; Valerie Zartarian; Rogelio Tornero-Velez; Lindsay W Stanek; Antonios Poulakos; Alan Walts; Kathy Triantafillou; Maryann Suero; Nicholas Grokhowsky
Journal:  Environ Health Perspect       Date:  2022-07-27       Impact factor: 11.035

3.  Invited Perspective: Identifying Childhood Lead Exposure Hotspots for Action.

Authors:  Adrienne S Ettinger
Journal:  Environ Health Perspect       Date:  2022-07-27       Impact factor: 11.035

4.  Urban Soil Safety Policies: The Next Frontier for Mitigating Lead Exposures and Promoting Sustainable Food Production.

Authors:  Sara N Lupolt; Raychel E Santo; Brent F Kim; Thomas A Burke; Keeve E Nachman
Journal:  Geohealth       Date:  2022-09-01

5.  Association between blood lead levels and hyperlipidemiais: Results from the NHANES (1999-2018).

Authors:  Yangchang Zhang; Weiwei Liu; Wei Zhang; Rui Cheng; Andi Tan; Shisi Shen; Yang Xiong; Limei Zhao; Xun Lei
Journal:  Front Public Health       Date:  2022-09-09
  5 in total

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