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ABSTRACT: Purpose
We estimated up-to-date state- and territory-level hysterectomy prevalence and trends, which can help correct the population at risk denominator and calculate more accurate uterine and cervical cancer rates.Methods
We analyzed self-reported data for a population-based sample of 1,267,013 U.S. women aged ≥ 18 years who participated in the Behavioral Risk Factor Surveillance System surveys from 2012 to 2020. Estimates were age-standardized and stratified by sociodemographic characteristics and geography. Trends were assessed by testing for any differences in hysterectomy prevalence across years.Results
Hysterectomy prevalence was highest among women aged 70-79 years (46.7%) and ≥ 80 years (48.8%). Prevalence was also higher among women who were non-Hispanic (NH) Black (21.3%), NH American Indian and Alaska Native (21.1%), and from the South (21.1%). Hysterectomy prevalence declined by 1.9 percentage points from 18.9% in 2012 to 17.0% in 2020.Conclusions
Approximately one in five U.S. women overall and half of U.S. women aged ≥ 70 years reported undergoing a hysterectomy. Our findings reveal large variations in hysterectomy prevalence within and between each of the four census regions and by race and other sociodemographic characteristics, underscoring the importance of adjusting epidemiologic measures of uterine and cervical cancers for hysterectomy status.
SUBMITTER: Gopalani SV
PROVIDER: S-EPMC10643045 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature

Cancer causes & control : CCC 20230617 10
<h4>Purpose</h4>We estimated up-to-date state- and territory-level hysterectomy prevalence and trends, which can help correct the population at risk denominator and calculate more accurate uterine and cervical cancer rates.<h4>Methods</h4>We analyzed self-reported data for a population-based sample of 1,267,013 U.S. women aged ≥ 18 years who participated in the Behavioral Risk Factor Surveillance System surveys from 2012 to 2020. Estimates were age-standardized and stratified by sociodemographic ...[more]