Birth order and risk of childhood cancer: a pooled analysis from five US States.

Publication Type:

Journal Article

Source:

International journal of cancer. Journal international du cancer, Volume 128, Issue 11, p.2709-16 (2011)

Keywords:

2011, Adolescent, Adult, Birth Order, Case-Control Studies, Center-Authored Paper, Child, Child, Preschool, Epidemiology Core Facility, Female, Humans, Incidence, Infant, Infant, Newborn, Leukemia, Myeloid, Acute, Male, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Prognosis, Public Health Sciences Division, Shared Resources, Survival Rate, United States, Young Adult

Abstract:

The causes of childhood cancers are largely unknown. Birth order has been used as a proxy for prenatal and postnatal exposures, such as frequency of infections and in utero hormone exposures. We investigated the association between birth order and childhood cancers in a pooled case-control dataset. The subjects were drawn from population-based registries of cancers and births in California, Minnesota, New York, Texas and Washington. We included 17,672 cases <15 years of age who were diagnosed from 1980 to 2004 and 57,966 randomly selected controls born 1970-2004, excluding children with Down syndrome. We calculated odds ratios and 95% confidence intervals using logistic regression, adjusted for sex, birth year, maternal race, maternal age, multiple birth, gestational age and birth weight. Overall, we found an inverse relationship between childhood cancer risk and birth order. For children in the fourth or higher birth order category compared to first-born children, the adjusted OR was 0.87 (95% CI: 0.81, 0.93) for all cancers combined. When we examined risks by cancer type, a decreasing risk with increasing birth order was seen in the central nervous system tumors, neuroblastoma, bilateral retinoblastoma, Wilms tumor and rhabdomyosarcoma. We observed increased risks with increasing birth order for acute myeloid leukemia but a slight decrease in risk for acute lymphoid leukemia. These risk estimates were based on a very large sample size, which allowed us to examine rare cancer types with greater statistical power than in most previous studies, however the biologic mechanisms remain to be elucidated.