Literature DB >> 16249797

Video methods in the quantification of children's exposures.

Alesia C Ferguson1, Robert A Canales, Paloma Beamer, Willa Auyeung, Maya Key, Amy Munninghoff, Kevin Tse-Wing Lee, Alexander Robertson, James O Leckie.   

Abstract

In 1994, Stanford University's Exposure Research Group (ERG) conducted its first pilot study to collect micro-level activity time series (MLATS) data for young children. The pilot study involved videotaping four children of farm workers in the Salinas Valley of California and converting their videotaped activities to valuable text files of contact behavior using video-translation techniques. These MLATS are especially useful for describing intermittent dermal (i.e., second-by-second account of surfaces and objects contacted) and non-dietary ingestion (second-by-second account of objects or hands placed in the mouth) contact behavior. Second-by-second records of children contact behavior are amenable to quantitative and statistical analysis and allow for more accurate model estimates of human exposure and dose to environmental contaminants. Activity patterns data for modeling inhalation exposure (i.e., accounts of microenvironments visited) can also be extracted from the MLATS data. Since the pilot study, ERG has collected an immense MLATS data set for 92 children using more developed and refined videotaping and video-translation methodologies. This paper describes all aspects required for the collection of MLATS including: subject recruitment techniques, videotaping and video-translation processes, and potential data analysis. This paper also describes the quality assurance steps employed for these new MLATS projects, including: training, data management, and the application of interobserver and intraobserver agreement during video translation. The discussion of these issues and ERG's experiences in dealing with them can assist other groups in the conduct of research that employs these more quantitative techniques.

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Year:  2006        PMID: 16249797     DOI: 10.1038/sj.jea.7500459

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  17 in total

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Authors:  Ming-Chien Tsou; Halûk Özkaynak; Paloma Beamer; Winston Dang; Hsing-Cheng Hsi; Chuen-Bin Jiang; Ling-Chu Chien
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-07-16       Impact factor: 5.563

2.  Inadvertent ingestion exposure: hand- and object-to-mouth behavior among workers.

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Journal:  J Expo Sci Environ Epidemiol       Date:  2014-11-05       Impact factor: 5.563

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4.  Development and in-home testing of the Pretoddler Inhalable Particulate Environmental Robotic (PIPER Mk IV) sampler.

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5.  Modeling of human viruses on hands and risk of infection in an office workplace using micro-activity data.

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6.  Quantified activity pattern data from 6 to 27-month-old farmworker children for use in exposure assessment.

Authors:  Paloma Beamer; Maya E Key; Alesia C Ferguson; Robert A Canales; Willa Auyeung; James O Leckie
Journal:  Environ Res       Date:  2008-08-23       Impact factor: 6.498

7.  Farmworker children's residential non-dietary exposure estimates from micro-level activity time series.

Authors:  Paloma I Beamer; Robert A Canales; Asa Bradman; James O Leckie
Journal:  Environ Int       Date:  2009-09-09       Impact factor: 9.621

8.  Prioritizing risks and uncertainties from intentional release of selected Category A pathogens.

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Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

9.  Relative pesticide and exposure route contribution to aggregate and cumulative dose in young farmworker children.

Authors:  Paloma I Beamer; Robert A Canales; Alesia C Ferguson; James O Leckie; Asa Bradman
Journal:  Int J Environ Res Public Health       Date:  2012-01-03       Impact factor: 3.390

10.  A Pilot Study on Integrating Videography and Environmental Microbial Sampling to Model Fecal Bacterial Exposures in Peri-Urban Tanzania.

Authors:  Timothy R Julian; Amy J Pickering
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

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