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Titolo:
Measuring temporal variability in residential magnetic field exposures
Autore:
Kaune, WT; Davis, S; Stevens, RG; Mirick, DK; Kheifets, L;
Indirizzi:
EM Factors, Richland, WA 99352 USA EM Factors Richland WA USA 99352EM Factors, Richland, WA 99352 USA Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Program Epidemiol, Seattle, WA 98104 USA Fred Hutchinson Canc Res Ctr Seattle WA USA 98104 , Seattle, WA 98104 USA Univ Washington, Sch Publ Hlth & Community Med, Dept Epidemiol, Seattle, WA 98195 USA Univ Washington Seattle WA USA 98195 ept Epidemiol, Seattle, WA 98195 USA Univ Connecticut, Dept Community Med, Farmington, CT USA Univ ConnecticutFarmington CT USA ept Community Med, Farmington, CT USA Elect Power Res Inst, Palo Alto, CA USA Elect Power Res Inst Palo Alto CAUSA Power Res Inst, Palo Alto, CA USA
Titolo Testata:
BIOELECTROMAGNETICS
fascicolo: 4, volume: 22, anno: 2001,
pagine: 232 - 245
SICI:
0197-8462(200105)22:4<232:MTVIRM>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
ELECTRIC UTILITY WORKERS; ORNITHINE DECARBOXYLASE ACTIVITY; ACUTE LYMPHOBLASTIC-LEUKEMIA; CHILDHOOD LEUKEMIA; ELECTROMAGNETIC-FIELDS; MELATONIN METABOLITE; BRAIN CANCER; CANADA; ONTARIO; TRANSIENTS;
Keywords:
ELF magnetic fields; temporal correlations; coherence; epidemiology; exposure assessment;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
46
Recensione:
Indirizzi per estratti:
Indirizzo: Kaune, WT EM Factors, 640 Jadwin Ave,Ste F, Richland, WA 99352 USA EM Factors 640 Jadwin Ave,Ste F Richland WA USA 99352 99352 USA
Citazione:
W.T. Kaune et al., "Measuring temporal variability in residential magnetic field exposures", BIOELECTROM, 22(4), 2001, pp. 232-245

Abstract

Considerable interest has developed during the past ten years regarding the hypothesis that living organisms may respond to temporal variability in ELF magnetic fields to which they are exposed. Consequently, methods to measure various aspects of temporal variability are of interest. In this paper,five measures of temporal variability were examined: Arithmetic means (D-mean) and rms values (D-rms) of the first differences (i.e., absolute value of the difference between consecutive measurements) of magnetic field recordings; "standardized" forms of D-rms, denoted RCMS, obtained by dividing D-rms by the standard deviations of the magnetic field data; and mean (F-mean) and rms (F-rms) values of fractional first differences. Theoretical investigations showed that D-mean and D-rms are virtually unaffected by long-term systematic trends (changes) in exposure. These measures thus provide rather specific measures of shea-term temporal variability. This was also true to a lesser extent for F-mean and F-rms. In contrast, the RCMS metric was affected by both shortterm and long-term exposure variabilities. The metricswere also investigated using a data set consisting of twice-repeated two-calendar-day recordings of bedroom magnetic fields and personal exposures of203 women residing in the western portion of Washington State. The predominant source of short-term temporal variability in magnetic field exposures arose from the movement of subjects through spatially varying magnetic fields. Spearman correlations between TWA bedroom magnetic fields or TWA personal exposures and five measures of temporal variability were relatively low. Weak to moderate levels of correlation were observed between temporal variability measured during two different sessions separated in time by 3 or 6 months. We conclude that first difference and fractional difference metricsprovide specific and fairly independent measures of short-term temporal variability. The RCMS metric does not provide an easily interpreted measure of short-term or long-term temporal variability. This last result raises uncertainties about the interpretation of published studies that use the RCMS metric. (C) 2001 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 03/04/20 alle ore 10:35:39