Αρχειοθήκη ιστολογίου

Τρίτη 21 Νοεμβρίου 2017

Do pregnancy characteristics contribute to rising childhood cancer incidence rates in the United States?

Abstract

Background

Since 1975, childhood cancer incidence rates have gradually increased in the United States; however, few studies have conducted analyses across time to unpack this temporal rise. The aim of this study was to test the hypothesis that increasing cancer incidence rates are due to secular trends in pregnancy characteristics that are established risk factors for childhood cancer incidence including older maternal age, higher birthweight, and lower birth order. We also considered temporal trends in sociodemographic characteristics including race/ethnicity and poverty.

Procedure

We conducted a time series county-level ecologic analysis using linked population-based data from Surveillance, Epidemiology, and End Results cancer registries (1975–2013), birth data from the National Center for Health Statistics (1970–2013), and sociodemographic data from the US Census (1970–2010). We estimated unadjusted and adjusted average annual percent changes (AAPCs) in incidence of combined (all diagnoses) and individual types of cancer among children, ages 0–4 years, from Poisson mixed models.

Results

There was a statistically significant unadjusted temporal rise in incidence of combined childhood cancers (AAPC = 0.71%; 95% CI = 0.55–0.86), acute lymphoblastic leukemia (0.78%; 0.49–1.07), acute myeloid leukemia (1.86%; 1.13–2.59), central nervous system tumors (1.31%; 0.94–1.67), and hepatoblastoma (2.70%; 1.68–3.72). Adjustment for county-level maternal age reduced estimated AAPCs between 8% (hepatoblastoma) and 55% (combined). However, adjustment for other county characteristics did not attenuate AAPCs, and AAPCs remained significantly above 0% in models fully adjusted for county-level characteristics.

Conclusion

Although rising maternal age may account for some of the increase in childhood cancer incidence over time, other factors, not considered in this analysis, may also contribute to temporal trends.



from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2AZ24Pz

Δεν υπάρχουν σχόλια:

Δημοσίευση σχολίου