Residential exposure to magnetic fields: an empirical examination of alternative measurement strategies.
OBJECTIVE
To investigate the impact of measuring a single home then imputing information from another home among subjects who lived in two homes in a subset of the National Cancer Institute/Children's Cancer Group (NCI/CCG) investigation of residential exposure to magnetic fields and risk of childhood leukaemia.


METHODS
Each subject's summary time weighted average (TWA) exposure was derived from measurements of two homes, weighted by the fraction of the reference period lived in the residence. The three cost efficient field work strategies examined were measuring: (a) the longer lived in home; (b) the currently lived in home; and (c) the former lived in home. Two different methods were used for imputing the missing values: (a) control mean imputation, (b) status specific mean imputation. The subject's summary exposure to magnetic fields estimated with each approach was compared with the subject's TWA calculated from measurements in both homes. The association between estimated exposure to magnetic fields and the risk of leukaemia under different approaches was examined with unconditional logistic regression analysis.


RESULTS
The Pearson correlation coefficient between the two measurements within subjects was 0.31 (p < 10(-4), indicating a lack of independence of measurements. Differences were found between mean exposures in current and former homes of cases, and between longer and shorter lived in homes of controls. All methods with measurements from one of the homes in conjunction with imputation of measurements for the second home led to marked attenuation of risk estimates at the highest exposure category, particularly when measurements from current homes were used and those from former homes were imputed.


CONCLUSIONS
Results argue against attempting to estimate lifetime magnetic field exposure from imputed values derived from current residences to fill in gaps caused by unmeasured residences previously lived in.
Baris
D
D
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-7240, USA. barisd@epndce.nci.nih.gov
Linet
M S
MS
Tarone
R E
RE
Kleinerman
R A
RA
Hatch
E E
EE
Kaune
W T
WT
Robison
L L
LL
Lubin
J
J
Wacholder
S
S
D015982:Bias; D004574:Electromagnetic Fields; D004781:Environmental Exposure; D006801:Humans; D016015:Logistic Models; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000209:etiology*; D012111:Residence Characteristics; D018570:Risk Assessment; D014481:United States / Q000453:epidemiology