Birth characteristics and risk of meningioma in a population-based study in California.
Neurooncol Adv
; 4(1): vdac173, 2022.
Article
em En
| MEDLINE
| ID: mdl-36479059
ABSTRACT
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 ORâ =â 1.43, 95% CI 1.16 to 1.79; Pâ <â .01) and Black race (compared to White ORâ =â 1.46, 95% CI 1.02 to 2.07; Pâ =â .04) were associated with higher risk of meningioma. Higher birth order (ORâ =â 0.90, 95% CI 0.81 to 0.99 per additional birth position; Pâ =â .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 (ORâ =â 1.20, 95% CI 1.02 to 1.41 per 500 grams; Pâ =â .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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article