Literature DB >> 2334233

Quantitative estimates of soil ingestion in normal children between the ages of 2 and 7 years: population-based estimates using aluminum, silicon, and titanium as soil tracer elements.

S Davis1, P Waller, R Buschbom, J Ballou, P White.   

Abstract

This investigation was undertaken to provide quantitative estimates of soil ingestion in young children on a population basis, and to identify demographic and behavioral characteristics that influence the amount of soil ingested. A total of 104 children between the ages of 2 and 7 yr were selected randomly from the population of a three-city area in southeastern Washington State. Using aluminum, silicon, and titanium as tracer elements, a mass-balance approach was employed to assess daily soil ingestion. A duplicate of all food items consumed, all feces, and some urine excreted were collected on 4 consecutive d, along with soil and house dust samples from each child's home. Samples were analyzed by x-ray fluorescence spectrometry. After adjustment of the soil ingestion estimates to account for missing food, excreta samples, and nonfood items consumed, the average daily values based on the three tracer elements were: aluminum, 38.9 mg/d (median = 25.3 mg/d); silicon, 82.4 mg/d (median = 59.4 mg/d); and titanium, 245.5 mg/d (median = 81.3 mg/d). No consistent pattern emerged regarding a demographic or behavioral profile that was predictive of soil ingestion. This work demonstrates (a) the feasibility of conducting large-scale studies to determine soil intake levels in human populations, (b) provides estimates of soil ingestion in small children based on a random population sample, and (c) suggests several possibilities for additional research initiatives in this area.

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Year:  1990        PMID: 2334233     DOI: 10.1080/00039896.1990.9935935

Source DB:  PubMed          Journal:  Arch Environ Health        ISSN: 0003-9896


  19 in total

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Journal:  Environ Sci Technol       Date:  2010-12-22       Impact factor: 9.028

2.  The use of Monte Carlo simulation techniques to predict population blood lead levels.

Authors:  J T Cohen
Journal:  Environ Geochem Health       Date:  1994-12       Impact factor: 4.609

3.  Development of a probabilistic blood lead prediction model.

Authors:  R C Lee; J R Fricke; W E Wright; W Haerer
Journal:  Environ Geochem Health       Date:  1995-12       Impact factor: 4.609

4.  Parameter values to model the soil ingestion pathway.

Authors:  S C Sheppard
Journal:  Environ Monit Assess       Date:  1995-01       Impact factor: 2.513

Review 5.  A review of soil and dust ingestion studies for children.

Authors:  Jacqueline Moya; Linda Phillips
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-04-02       Impact factor: 5.563

6.  Evaluation of methods for monitoring the potential exposure of small children to pesticides in the residential environment.

Authors:  R G Lewis; R C Fortmann; D E Camann
Journal:  Arch Environ Contam Toxicol       Date:  1994-01       Impact factor: 2.804

Review 7.  Changes in children's exposure as a function of age and the relevance of age definitions for exposure and health risk assessment.

Authors:  Kimberly M Thompson
Journal:  MedGenMed       Date:  2004-07-20

8.  Risk of gastrointestinal disease associated with exposure to pathogens in the sediments of the Lower Passaic River.

Authors:  E P Donovan; D F Staskal; K M Unice; J D Roberts; L C Haws; B L Finley; M A Harris
Journal:  Appl Environ Microbiol       Date:  2007-12-21       Impact factor: 4.792

9.  Residential exposure to polychlorinated biphenyls and organochlorine pesticides and risk of childhood leukemia.

Authors:  Mary H Ward; Joanne S Colt; Catherine Metayer; Robert B Gunier; Jay Lubin; Vonda Crouse; Marcia G Nishioka; Peggy Reynolds; Patricia A Buffler
Journal:  Environ Health Perspect       Date:  2009-01-27       Impact factor: 9.031

10.  Probabilistic prediction of exposures to arsenic contaminated residential soil.

Authors:  R C Lee; J C Kissel
Journal:  Environ Geochem Health       Date:  1995-12       Impact factor: 4.609

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