Literature DB >> 31647750

Lead exposures in older children (males and females 7-17 years), women of childbearing age (females 16-49 years) and adults (males and females 18+ years): FDA total diet study 2014-16.

Alexandra Gavelek1, Judith Spungen1, Dana Hoffman-Pennesi1, Brenna Flannery1, Laurie Dolan1, Sherri Dennis1, Suzanne Fitzpatrick1.   

Abstract

Dietary exposures to lead were estimated for older children, females of childbearing age and adults based on lead concentration data from the FDA's Total Diet Study and on food consumption data from What We Eat In America (WWEIA), the food survey portion of the National Health and Nutrition Examination Survey (NHANES). Estimated mean exposures varied based on the population and on the three different substitution scenarios for lead values below the limit of detection (non-detects = 0; non-detects = limit of detection; hybrid approach). Estimated mean lead exposures range from 1.4 to 4.0 µg/day for older children (males and females 7-17 years), 1.6 to 4.6 µg/day for women of childbearing age (females 16-49 years) and 1.7 to 5.3 µg/day for adults (males and females 18 years and older). Estimated 90th percentile lead exposures range from 2.3 to 5.8 µg/day for older children, 2.8 to 6.7 µg/day for women of childbearing age and 3.2 to 7.8 µg/day for adults. Exposure estimates suggest some older children may be exposed to dietary lead above the FDA interim reference level for lead in children of 3 µg/day. The results of this study can be used by the FDA to prioritise research and regulatory efforts in the area of dietary lead exposure.

Entities:  

Keywords:  Lead; exposure assessment; total diet studies

Mesh:

Substances:

Year:  2019        PMID: 31647750     DOI: 10.1080/19440049.2019.1681595

Source DB:  PubMed          Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess        ISSN: 1944-0057


  2 in total

1.  Dietary contributions to increased background lead, mercury, and cadmium in 9-11 Year old children: Accounting for racial differences.

Authors:  Brooks B Gump; Bryce Hruska; Patrick J Parsons; Christopher D Palmer; James A MacKenzie; Kestutis Bendinskas; Lynn Brann
Journal:  Environ Res       Date:  2020-03-04       Impact factor: 6.498

2.  A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products.

Authors:  Zuzheng Wang; Zhixiang Wu; Minke Zou; Xin Wen; Zheng Wang; Yuanzhang Li; Qingchuan Zhang
Journal:  Foods       Date:  2022-03-13
  2 in total

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