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Cancer Causes and Control 2014-Jun

Tobacco smoke and risk of childhood acute lymphoblastic leukemia: findings from the SETIL case-control study.

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Andrea Farioli
Patrizia Legittimo
Stefano Mattioli
Lucia Miligi
Alessandra Benvenuti
Alessandra Ranucci
Alberto Salvan
Roberto Rondelli
Valentino Conter
Corrado Magnani

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Abstrè

OBJECTIVE

Tobacco smoke could cause childhood acute lymphoblastic leukemia (ALL) through at least three pathways: (1) prenatal parental smoking; (2) fetal exposure through maternal smoking during pregnancy; and (3) childhood exposure to secondhand smoke (SHS). We tested these hypotheses in a large population-based case-control study (SETIL) primarily designed to evaluate the role of electromagnetic fields in childhood hematopoietic malignancies.

METHODS

From 1998 to 2003, we enrolled 602 incident cases of ALL from 14 Italian Regions, and 918 controls were individually matched by birthdate, sex, and area of residence. Cases (n = 557) and controls (n = 855) with complete information were analyzed; odds ratios (OR) and 95 % confidence intervals (95 % CI) were estimated with logistic regression models conditioned on matching variables and adjusted by birth order, birthweight, duration of breastfeeding, parental age at delivery, education, and occupational exposure to benzene.

RESULTS

No evidence associating paternal smoking in the conception period or maternal smoking during the pregnancy with ALL was found. An association of ALL with maternal exposure to SHS during pregnancy (adjusted OR for mothers exposed more than 4 h/day = 2.18, 95 % CI 1.39-3.42) was observed, but recall bias cannot be excluded. Exposure of the children to SHS was associated with ALL only in unadjusted analysis (unadjusted OR for highly exposed children = 1.64; 95 % CI 1.10-2.45).

CONCLUSIONS

This study does not support the hypothesis that parental active smoking is associated with ALL. We found very weak evidence of increased risk of ALL for children exposed to SHS. Maternal exposure to SHS was associated with ALL, but recall bias is likely to inflate our estimates.

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