Literature DB >> 18543290

Analysis of individual- and school-level clustering of power frequency magnetic fields.

I-Fan Lin1, Chung-Yi Li, Jung-Der Wang.   

Abstract

This study reports the continuous 8-h monitoring of data on extremely low-frequency magnetic fields (ELF-MF) relating to 14 children and 35 teachers in 11 elementary schools in Northern Taiwan. It was anticipated that the subjects in two of these campuses would have elevated exposure to ELF-MF as a result of their close proximity to high-voltage (161 kilo-Volt, kV) power lines. The results of our analysis reveal that in those schools with high-voltage power lines running through the campuses, the mean ELF-MF exposure level (0.38 +/- 0.51 micro-Tesla (microT), or 0.15, 0.25 and 0.44 microT at the respective 25th, 50th and 75th percentiles) was higher than the mean ELF-MF exposure level for campuses situated far away from such high-voltage power lines (0.14 +/- 0.27 microT, or 0.04, 0.06 and 0.10 microT at the respective 25th, 50th and 75th percentiles). The multi-level analytical technique, which takes individual measurements as the analytical unit, and which also takes into consideration the inter-correlation between measurements from the same individual and/or campus, was also applied to the analysis of the data. We conclude that individual-level and school-level clustering of the measurements, both of which were discernible in this study, should be taken into consideration in any future analysis of data obtained from the continuous monitoring of exposure to ELF-MF.

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Mesh:

Year:  2008        PMID: 18543290     DOI: 10.1002/bem.20431

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


  5 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.  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

3.  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

4.  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

5.  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

  5 in total

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