Childhood Leukemia and 50 Hz Magnetic Fields: Findings from the Italian SETIL Case-Control Study

被引:23
|
作者
Salvan, Alberto [1 ]
Ranucci, Alessandra [2 ,3 ]
Lagorio, Susanna [4 ]
Magnani, Corrado [2 ,3 ]
机构
[1] IASI CNR, Inst Syst Anal & Comp Sci Antonio Ruberti, I-00185 Rome, Italy
[2] CPO Piemonte, Dept Translat Med, Med Stat & Canc Epidemiol Unit, I-28100 Novara, Italy
[3] Univ Piemonte Orientale, I-28100 Novara, Italy
[4] Natl Inst Hlth, Natl Ctr Epidemiol Surveillance & Hlth Promotion, I-00161 Rome, Italy
来源
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2015年 / 12卷 / 02期
关键词
POOLED ANALYSIS; ELECTROMAGNETIC-FIELDS; SELECTION BIAS; EXPOSURE; RISK; ASSOCIATION; POPULATION; LYMPHOMA; LESSONS; ENOUGH;
D O I
10.3390/ijerph120202184
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We report on an Italian case-control study on childhood leukemia and exposure to extremely low frequency magnetic fields (ELF-MF). Eligible for inclusion were 745 leukemia cases, aged 0-10 years at diagnosis in 1998-2001, and 1475 sex- and age-matched population controls. Parents of 683 cases and 1044 controls (92% vs. 71%) were interviewed. ELF-MF measurements (24-48 h), in the child's bedroom of the dwelling inhabited one year before diagnosis, were available for 412 cases and 587 controls included in the main conditional regression analyses. The magnetic field induction was 0.04 mu T on average (geometric mean), with 0.6% of cases and 1.6% of controls exposed to >0.3 mu T. The impact of changes in the statistical model, exposure metric, and data-set restriction criteria was explored via sensitivity analyses. No exposure-disease association was observed in analyses based on continuous exposure, while analyses based on categorical variables were characterized by incoherent exposure-outcome relationships. In conclusion, our results may be affected by several sources of bias and they are noninformative at exposure levels >0.3 mu T. Nonetheless, the study may contribute to future meta- or pooled analyses. Furthermore, exposure levels among population controls are useful to estimate attributable risk.
引用
收藏
页码:2184 / 2204
页数:21
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