Literature DB >> 8146405

Can long-term exposure distributions be predicted from short-term measurements?

L A Wallace1, N Duan, R Ziegenfus.   

Abstract

A method for estimating long-term distributions of exposure based on repeated short-term measurements within the same population is developed. If the short-term measurements span seasonal variation, and if the distributions are log-normal or nearly so, then long-term distributions can be estimated from as few as two visits to the same population. The method is illustrated using examples drawn from EPA's TEAM Study of exposures to volatile organic compounds.

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Year:  1994        PMID: 8146405     DOI: 10.1111/j.1539-6924.1994.tb00029.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  6 in total

1.  Evaluation of the population distribution of dietary contaminant exposure in an Arctic population using Monte Carlo statistics.

Authors:  H M Chan; P R Berti; O Receveur; H V Kuhnlein
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2.  Longitudinal investigation of exposure to arsenic, cadmium, and lead in drinking water.

Authors:  P B Ryan; N Huet; D L MacIntosh
Journal:  Environ Health Perspect       Date:  2000-08       Impact factor: 9.031

3.  Comparing Methods from the National Cancer Institute vs Multiple Source Method for Estimating Usual Intake of Nutrients in the Hispanic Community Health Study/Study of Latino Youth.

Authors:  Jaqueline L Pereira; Michelle A de Castro; Sandra P Crispim; Regina M Fisberg; Carmen R Isasi; Yasmin Mossavar-Rahmani; Linda Van Horn; Mercedes R Carnethon; Martha L Daviglus; Krista M Perreira; Linda C Gallo; Daniela Sotres-Alvarez; Josiemer Mattei
Journal:  J Acad Nutr Diet       Date:  2020-08-07       Impact factor: 4.910

4.  Personal exposure meets risk assessment: a comparison of measured and modeled exposures and risks in an urban community.

Authors:  Devon C Payne-Sturges; Thomas A Burke; Patrick Breysse; Marie Diener-West; Timothy J Buckley
Journal:  Environ Health Perspect       Date:  2004-04       Impact factor: 9.031

5.  Home indoor pollutant exposures among inner-city children with and without asthma.

Authors:  Gregory B Diette; Nadia N Hansel; Timothy J Buckley; Jean Curtin-Brosnan; Peyton A Eggleston; Elizabeth C Matsui; Meredith C McCormack; D'Ann L Williams; Patrick N Breysse
Journal:  Environ Health Perspect       Date:  2007-11       Impact factor: 9.031

6.  Comparison of the ISU, NCI, MSM, and SPADE Methods for Estimating Usual Intake: A Simulation Study of Nutrients Consumed Daily.

Authors:  Greice H C Laureano; Vanessa B L Torman; Sandra P Crispim; Arnold L M Dekkers; Suzi A Camey
Journal:  Nutrients       Date:  2016-03-15       Impact factor: 5.717

  6 in total

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