Literature DB >> 11021619

Do confounding or selection factors of residential wiring codes and magnetic fields distort findings of electromagnetic fields studies?

E E Hatch1, R A Kleinerman, M S Linet, R E Tarone, W T Kaune, A Auvinen, D Baris, L L Robison, S Wacholder.   

Abstract

In contrast with several previous studies, our recent large case-control study found little association between childhood acute lymphoblastic leukemia (ALL) and electric-power-line wire codes. Here we examine internal evidence from our study to assess the possibility that selection bias and/or confounding may have affected the findings. We compared the relation between childhood ALL and wire codes and direct measurements of magnetic fields in subjects who participated in all phases of the study with the relation in all subjects, including those who declined to allow access inside the home. We found that the odds ratio for ALL among those living in homes with very high current configurations increased by 23% when 107 "partial participants" were excluded. We found similar, but slightly smaller, increases in the odds ratios when we performed the same comparisons using direct measurements of magnetic fields, excluding subjects who allowed only a measurement outside the front door. "Partial participants" tended to be characterized by lower socioeconomic status than subjects who participated fully, suggesting possible selection bias. We also examined the relation between a large number of potential confounding variables and both proxy and direct measurements of magnetic fields. Univariate adjustment for individual variables changed the odds ratio for ALL by less than 8%, while simultaneous adjustment for several factors reduced the estimate by a maximum of 15%. We conclude that while confounding alone is unlikely to be an important source of bias in our own and previous studies of magnetic fields, selection bias may be more of a concern, particularly in light of the generally low response rates among controls in case-control studies.

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Year:  2000        PMID: 11021619     DOI: 10.1097/00001648-200003000-00019

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  12 in total

1.  Birth order and risk of non-hodgkin lymphoma--true association or bias?

Authors:  Andrew E Grulich; Claire M Vajdic; Michael O Falster; Eleanor Kane; Karin Ekstrom Smedby; Paige M Bracci; Silvia de Sanjose; Nikolaus Becker; Jenny Turner; Otoniel Martinez-Maza; Mads Melbye; Eric A Engels; Paolo Vineis; Adele Seniori Costantini; Elizabeth A Holly; John J Spinelli; Carlo La Vecchia; Tongzhang Zheng; Brian C H Chiu; Silvia Franceschi; Pierluigi Cocco; Marc Maynadié; Lenka Foretova; Anthony Staines; Paul Brennan; Scott Davis; Richard K Severson; James R Cerhan; Elizabeth C Breen; Brenda Birmann; Wendy Cozen
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

2.  Estimating magnetic fields of homes near transmission lines in the California Power Line Study.

Authors:  Ximena P Vergara; Robert Kavet; Catherine M Crespi; Chris Hooper; J Michael Silva; Leeka Kheifets
Journal:  Environ Res       Date:  2015-05-22       Impact factor: 6.498

3.  Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners.

Authors:  Elizabeth E Hatch; Kristen A Hahn; Lauren A Wise; Ellen M Mikkelsen; Ramya Kumar; Matthew P Fox; Daniel R Brooks; Anders H Riis; Henrik Toft Sorensen; Kenneth J Rothman
Journal:  Epidemiology       Date:  2016-01       Impact factor: 4.822

4.  The sensitivity of reported effects of EMF on childhood leukemia to uncontrolled confounding by residential mobility: a hybrid simulation study and an empirical analysis using CAPS data.

Authors:  Aryana T Amoon; Onyebuchi A Arah; Leeka Kheifets
Journal:  Cancer Causes Control       Date:  2019-05-29       Impact factor: 2.506

5.  Potential role of selection bias in the association between childhood leukemia and residential magnetic fields exposure: a population-based assessment.

Authors:  Danna A Slusky; Monique Does; Catherine Metayer; Gabor Mezei; Steve Selvin; Patricia A Buffler
Journal:  Cancer Epidemiol       Date:  2014-03-26       Impact factor: 2.984

Review 6.  Review of the epidemiologic literature on EMF and Health.

Authors:  I C Ahlbom; E Cardis; A Green; M Linet; D Savitz; A Swerdlow
Journal:  Environ Health Perspect       Date:  2001-12       Impact factor: 9.031

7.  A pooled analysis of magnetic fields and childhood leukaemia.

Authors:  A Ahlbom; N Day; M Feychting; E Roman; J Skinner; J Dockerty; M Linet; M McBride; J Michaelis; J H Olsen; T Tynes; P K Verkasalo
Journal:  Br J Cancer       Date:  2000-09       Impact factor: 7.640

8.  Childhood leukemia and 50 Hz magnetic fields: findings from the Italian SETIL case-control study.

Authors:  Alberto Salvan; Alessandra Ranucci; Susanna Lagorio; Corrado Magnani
Journal:  Int J Environ Res Public Health       Date:  2015-02-16       Impact factor: 3.390

9.  Exposure to benzene and childhood leukaemia: a pilot case-control study.

Authors:  Susanna Lagorio; Daniela Ferrante; Alessandra Ranucci; Sara Negri; Paolo Sacco; Roberto Rondelli; Santina Cannizzaro; Maria Valeria Torregrossa; Pierluigi Cocco; Francesco Forastiere; Lucia Miligi; Luigi Bisanti; Corrado Magnani
Journal:  BMJ Open       Date:  2013-02-26       Impact factor: 2.692

Review 10.  Childhood leukemia: electric and magnetic fields as possible risk factors.

Authors:  Joseph D Brain; Robert Kavet; David L McCormick; Charles Poole; Lewis B Silverman; Thomas J Smith; Peter A Valberg; R A Van Etten; James C Weaver
Journal:  Environ Health Perspect       Date:  2003-06       Impact factor: 9.031

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