Literature DB >> 26512630

Residential mobility and associated factors in relation to the assessment of exposure to naturally occurring radiation in studies of childhood cancer.

G M Kendall1, R Wakeford, K J Bunch, T J Vincent, M P Little.   

Abstract

Migration, that is the study subjects moving from one residential address to another, is a complication for epidemiological studies where exposures to the agent of interest depend on place of residence [corrected]. In this paper we explore migration in cases from a large British case-control study of childhood cancer and natural background radiation. We find that 44% of cases had not moved house between birth and diagnosis, and about two-thirds were living within 2 km of their residence at birth. The estimated dose at the diagnosis address was strongly correlated with that at the birth address, suggesting that use of just the birth address in this case-control study does not lead to serious bias in risk estimates. We also review other individual-based studies of naturally occurring radiation, with particular emphasis on those from Great Britain. Interview-based case-control and cohort studies can potentially establish full residential histories for study subjects and make direct measurements of radiation levels in the dwellings in question. However, in practice, because of study size and difficulties in obtaining adequate response rates, interview-based studies generally do not use full residential histories, and a substantial proportion of dose estimates often derive from models rather than direct measurements. More seriously, problems of incomplete response may lead to bias, not just to loss of power. Record-based case-control studies, which do not require direct contact with study subjects, avoid such problems, but at the expense of having only model-based exposure estimates that use databases of measurements.

Entities:  

Mesh:

Year:  2015        PMID: 26512630     DOI: 10.1088/0952-4746/35/4/835

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  2 in total

1.  Modelling the bimodal distribution of indoor gamma-ray dose-rates in Great Britain.

Authors:  G M Kendall; P Chernyavskiy; J D Appleton; J C H Miles; R Wakeford; M Athanson; T J Vincent; N P McColl; M P Little
Journal:  Radiat Environ Biophys       Date:  2018-08-21       Impact factor: 1.925

2.  Residential Exposure to Natural Background Radiation and Risk of Childhood Acute Leukemia in France, 1990-2009.

Authors:  Claire Demoury; Fabienne Marquant; Géraldine Ielsch; Stéphanie Goujon; Christophe Debayle; Laure Faure; Astrid Coste; Olivier Laurent; Jérôme Guillevic; Dominique Laurier; Denis Hémon; Jacqueline Clavel
Journal:  Environ Health Perspect       Date:  2016-08-02       Impact factor: 9.031

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.