Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Measuring temporal variability in residential magnetic field exposures.

W T Kaune1, S Davis, R G Stevens

  • 1EM Factors, Richland, Washington 99352, USA.

Bioelectromagnetics
|April 12, 2001
PubMed
Summary

New metrics for measuring temporal variability in extremely low frequency (ELF) magnetic fields show promise. First difference and fractional difference metrics accurately capture short-term changes, unlike the RCMS metric.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pesticides as a potential independent childhood leukemia risk factor and as a potential confounder for electromagnetic fields exposure.

Environmental research·2023
Same author

Commercial outdoor plant nurseries as a confounder for electromagnetic fields and childhood leukemia risk.

Environmental research·2022
Same author

The role of dwelling type when estimating the effect of magnetic fields on childhood leukemia in the California Power Line Study (CAPS).

Cancer causes & control : CCC·2020
Same author

Relationship between distance to overhead power lines and calculated fields in two studies.

Journal of radiological protection : official journal of the Society for Radiological Protection·2020
Same author

Changes over time in the reported risk for childhood leukaemia and magnetic fields.

Journal of radiological protection : official journal of the Society for Radiological Protection·2019
Same author

Residential mobility and childhood leukemia.

Environmental research·2018

Area of Science:

  • Environmental Health
  • Biophysics
  • Electromagnetics

Background:

  • Growing interest in how organisms respond to temporal variability in extremely low frequency (ELF) magnetic fields.
  • Need for reliable methods to quantify temporal variability in magnetic field exposures.
  • Previous studies have used various metrics, with unclear interpretations for some.

Purpose of the Study:

  • To evaluate five distinct metrics for measuring temporal variability in magnetic field recordings.
  • To assess the suitability of these metrics for capturing short-term versus long-term exposure variations.
  • To investigate the relationship between these variability metrics and personal/bedroom magnetic field exposures.

Main Methods:

  • Theoretical analysis of five variability metrics: D(mean), D(rms), RCMS, F(mean), and F(rms).

Related Experiment Videos

  • Application of metrics to a dataset of magnetic field recordings from 203 women in Washington State.
  • Calculation of Spearman correlations between temporal variability metrics and time-weighted average (TWA) exposures.

    • Main Results:

    • D(mean) and D(rms) metrics are largely unaffected by long-term trends, specifically measuring short-term variability.
    • F(mean) and F(rms) also primarily reflect short-term variability.
    • The RCMS metric is influenced by both short-term and long-term variability, making its interpretation complex.
    • Movement of subjects was the primary source of short-term variability in personal exposures.
    • Correlations between TWA exposures and variability metrics were generally low.
    • Temporal variability measurements showed weak to moderate consistency over 3-6 month intervals.

    Conclusions:

    • First difference and fractional difference metrics offer specific and relatively independent measures of short-term magnetic field variability.
    • The RCMS metric's lack of clear interpretability for short- or long-term variability raises concerns about its use in prior research.
    • Further research is needed to refine metrics for accurately assessing biological responses to magnetic field temporal dynamics.