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L I Kheifets

Publications and source records attributed to L I Kheifets.

5 recordsLinked to original sources
PubMed1995

Occupational electric and magnetic field exposure and brain cancer: a meta-analysis.

We conducted a meta-analysis to acquire an understanding of the association between central nervous system cancer and occupational exposure to electric and magnetic fields. To explore sources of heterogeneity, study characteristics were scored and examined using regression analysis. An inverse-variance weighted pooling leads to a small overall increase in relative risk (10 to 20%) for the broad group of electrical occupations. One of the largest differences was lower relative risk for Scandinavian studies. Lower relative risks were also reported in cohort- and incidence-based studies. Findings were not sensitive to assumptions, including unpublished data, influence of individual studies, weighting schemes, and modeling. Whereas most studies present a small elevation in risk, there is considerable heterogeneity among the results.

Brain Neoplasms↗
PubMed1993

Synthetic cancer variables and the construction and testing of synthetic risk maps.

Cancer cluster investigations are usually univariate in nature; they focus on a particular cancer, such as leukaemia, and attempt to determine whether excess risk is associated with a suspected cancer-causing agent. Although several causes of death (such as leukaemia, lymphoma, Hodgkin's) may be considered, the approach is univariate because the causes of death are analysed sequentially and independently of one another. This approach is consistent with a one-cause one-effect model. Rarely, however, is the action of a carcinogen manifested at only one body site, and correlations among causes of death are the norm rather than the exception. A multiple effects model is therefore appropriate, and the multivariate nature of cancer mortality data should be exploited when exploring geographic pattern in cancer risks. This paper describes such an approach. We construct maps based on a principal components analysis of cancer mortality rates from different geographic areas. The resulting principal components are called synthetic cancer variables (SCVs), and maps of the SCV scores are synthetic risk maps (SRMs). These maps quantify geographic variation in cancer risk at several body sites simultaneously, and may be analysed for (1) spatial structure and (2) geographic association with potential risk factors. As an example, we use synthetic risk maps to determine whether high-risk counties in Illinois cluster near nuclear facilities. Much work remains to be done, but synthetic cancer risk maps appear to be a useful tool for quantifying geographic pattern and multivariate structure in cancer mortality.

Air Pollutants, Radioactive↗
PubMedDate not supplied

Exposure assessment for power frequency electric and magnetic fields (EMF) and its application to epidemiologic studies.

Epidemiologic studies suggesting possible health effects associated with exposure to electric and magnetic fields (EMF) from the transmission, distribution, and use of electricity have motivated increased interest in and attention to EMF exposure assessment. The result has been new instruments, measurement approaches, and exposure models that can improve on what has been a weakness in past epidemiologic studies, namely EMF exposure assessment. This paper presents a status report on EMF exposure assessment that emphasizes the need for incorporation of these advances in future studies. Several factors are identified that make the assignment of contemporary or retrospective EMF exposures potentially more difficult than for other environmental agents. These include: EMF is not generally detectable by humans, exposure scenarios for EMF are generally not memorable, there is no clear mechanism for EMF effects, and the pervasive nature of EMF in an industrialized society makes identification of a low-exposure group difficult. Elements of study design that are impacted by the nature of EMF exposures include: sampling and measurement strategies, summary measures of exposure, and the choice of surrogate and/or models of exposure. Consideration of these exposure assessment issues and incorporation of recent advances can improve the overall quality of epidemiologic studies with an EMF exposure component.

Child↗