Literature DB >> 11748675

Alternative magnetic field exposure metrics: relationship to TWA, appliance use, and demographic characteristics of children in a leukemia survival study.

D E Foliart1, R N Iriye, K J Tarr, J M Silva, R Kavet, K L Ebi.   

Abstract

The ongoing Childhood Leukemia Survival Study is examining the possible association between magnetic field exposure and survival of children with newly diagnosed acute lymphocytic leukemia (ALL). We report the results of the first year 24 h personal magnetic field monitoring for 356 US and Canadian children by time weighted average TWA and alternative exposure metrics. The mean TWA of 0.12 microT was similar to earlier personal exposure studies involving children. A high correlation was found between 24 h TWA and alternative metrics: 12 h day TWA, 12 night TWA, geometric mean, 95th percentile value, percentage time over 0.2 and 0.3 microT, and an estimate of field stability (Constant Field Metric). Two measures of field intermittency, rate of change metric (RCM) and standardized rate of change metric (RCMS), were not highly correlated with TWA. The strongest predictor of TWA was location of residence, with highest TWAs associated with urban areas. Residence in an apartment, lower paternal educational level, and residential mobility were also associated with higher TWAs. There were no significant differences in the appliance use patterns of children with higher TWA values. Children with the highest field intermittency (high RCM) were more likely to sit within 3 feet of a video game attached to the TV. Our results suggest that 24 h TWA is a representative metric for certain patterns of exposure, but is not highly correlated with two metrics that estimate field intermittency. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11748675     DOI: 10.1002/bem.86

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  7 in total

1.  Analysis of personal and bedroom exposure to ELF-MFs in children in Italy and Switzerland.

Authors:  Benjamin Struchen; Ilaria Liorni; Marta Parazzini; Stephanie Gängler; Paolo Ravazzani; Martin Röösli
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-12-16       Impact factor: 5.563

2.  Magnetic field exposure and long-term survival among children with leukaemia.

Authors:  D E Foliart; B H Pollock; G Mezei; R Iriye; J M Silva; K L Ebi; L Kheifets; M P Link; R Kavet
Journal:  Br J Cancer       Date:  2006-01-16       Impact factor: 7.640

3.  Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children.

Authors:  Gabriella Tognola; Marta Bonato; Emma Chiaramello; Serena Fiocchi; Isabelle Magne; Martine Souques; Marta Parazzini; Paolo Ravazzani
Journal:  Int J Environ Res Public Health       Date:  2019-04-06       Impact factor: 3.390

4.  Using GPS-derived speed patterns for recognition of transport modes in adults.

Authors:  Anke Huss; Johan Beekhuizen; Hans Kromhout; Roel Vermeulen
Journal:  Int J Health Geogr       Date:  2014-10-11       Impact factor: 3.918

5.  Children's Personal Exposure Measurements to Extremely Low Frequency Magnetic Fields in Italy.

Authors:  Ilaria Liorni; Marta Parazzini; Benjamin Struchen; Serena Fiocchi; Martin Röösli; Paolo Ravazzani
Journal:  Int J Environ Res Public Health       Date:  2016-05-31       Impact factor: 3.390

6.  Characterization of Children's Exposure to Extremely Low Frequency Magnetic Fields by Stochastic Modeling.

Authors:  Marta Bonato; Marta Parazzini; Emma Chiaramello; Serena Fiocchi; Laurent Le Brusquet; Isabelle Magne; Martine Souques; Martin Röösli; Paolo Ravazzani
Journal:  Int J Environ Res Public Health       Date:  2018-09-08       Impact factor: 3.390

7.  Cluster Analysis of Residential Personal Exposure to ELF Magnetic Field in Children: Effect of Environmental Variables.

Authors:  Gabriella Tognola; Emma Chiaramello; Marta Bonato; Isabelle Magne; Martine Souques; Serena Fiocchi; Marta Parazzini; Paolo Ravazzani
Journal:  Int J Environ Res Public Health       Date:  2019-11-08       Impact factor: 3.390

  7 in total

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