Skip to main content
Download PDF
- Main
Birth characteristics and risk of meningioma in a population-based study in California
Published Web Location
https://doi.org/10.1093/noajnl/vdac173Abstract
Background
We evaluated the potential role of birth characteristics in the etiology of early-onset meningioma.Methods
Leveraging a population-based linkage of California birth records (from 1978 to 2015) and cancer registry data (from 1988 to 2015), we identified 362 nonmalignant meningioma cases aged 0-37 years and selected 18 100 controls matched on year of birth. Cases and controls were compared with regard to birth characteristics, with adjusted odds ratios (ORs) and 95% confidence intervals (CIs) estimated from unconditional multivariable logistic regression models. We also conducted stratified analyses by race/ethnicity and age.Results
Female sex (compared to male: OR = 1.43, 95% CI: 1.16 to 1.79; P < .01) and Black race (compared to White: OR = 1.46, 95% CI: 1.02 to 2.07; P = .04) were associated with higher risk of meningioma. Higher birth order (OR = 0.90, 95% CI: 0.81 to 0.99 per additional birth position; P = .04) was associated with a lower risk. No significant associations were observed between birthweight, gestational age, delivery mode, maternal age, or maternal education and meningioma risk. In the non-Latino White subgroup, higher birthweight was associated with a higher risk of meningioma (OR = 1.20, 95% CI: 1.02 to 1.41 per 500 grams; P = .03), but this was not recapitulated in the Latino subgroup. In age-stratified analyses, female sex was a risk factor for those diagnosed at the age of 20-37 years but not among younger individuals.Conclusions
In this large population-based study less prone to selection and recall bias, higher birth order was associated with a reduced risk of early-onset meningioma, while female sex and Black race were linked to an increased risk. There were also indications of differential associations by race/ethnicity and age of diagnosis.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
For improved accessibility of PDF content, download the file to your device.
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Page Size:
-
Fast Web View:
-
Preparing document for printing…
0%