Seasonal Variation of Childhood Acute Lymphoblastic Leukaemia is Different Between Girls and Boys Tibor A. Nyári Email author Pál Kajtár Katalin Bartyik László Thurzó Richard McNally Louise Parker Original Paper First Online: 12 April 2008 Received: 18 May 2007 Accepted: 15 November 2007 DOI :
10.1007/s12253-008-9017-0
Cite this article as: Nyári, T.A., Kajtár, P., Bartyik, K. et al. Pathol. Oncol. Res. (2008) 14: 423. doi:10.1007/s12253-008-9017-0
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Abstract The aim of this study was to investigate seasonal trends in the incidence of acute lymphoblastic leukaemia (ALL) around the times of birth and diagnosis in children aged 0–4 years and also to examine gender specific effects. Children born in South Hungary during 1981–1997 were analysed. Registrations of first malignancies for children, diagnosed under age 5 years before the end of 2002 were obtained from the Hungarian Paediatric Oncology Group providing a representative sample of Hungarian children over a 17 year period of time. Data were available on the corresponding numbers of births for each month of the study period were obtained. Statistical analyses were performed using logistic regression with harmonic components. The study analysed 121 cases of children, aged under 5 years, who were diagnosed with ALL. We found no seasonal effect related to date of diagnosis. However, there was seasonal variability for ALL related to date of birth. Maximal rates were seen in children born in February and August in the simple harmonic regression model for all children diagnosed with ALL. Analysis by gender found evidence of seasonality related to month of birth with peaks in February and August in boys, but different seasonal effects were seen for girls (peak in November, nadir in May). Our study provides some evidence that male specific immune responses to infections around the time of birth could explain the male predominance in the incidence of ALL.
Keywords Childhood acute lymphoblastic leukaemia Gender specific seasonal effect Male predominance Simple harmonic regression
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Authors and Affiliations Tibor A. Nyári Email author Pál Kajtár Katalin Bartyik László Thurzó Richard McNally Louise Parker 1. Department of Medical Informatics University of Szeged Szeged Hungary 2. Department of Paediatrics University of Pécs Pécs Hungary 3. Department of Paediatrics University of Szeged Szeged Hungary 4. Department of Oncotherapy University of Szeged Szeged Hungary 5. Paediatric and Lifecourse Epidemiology Research Group Newcastle University Newcastle upon Tyne UK 6. Department of Paediatrics Dalhousie University Halifax Canada