Risk factors for uterine fibroids among women undergoing tubal sterilization

Am J Epidemiol. 2001 Jan 1;153(1):20-6. doi: 10.1093/aje/153.1.20.

Abstract

Uterine leiomyomas are reported to be the most common benign gynecologic tumors affecting premenopausal women, and they are often associated with considerable morbidity. The purpose of this study was to identify risk factors for uterine fibroids among women undergoing tubal sterilization. Cases comprised women aged 17-44 years whose uterine fibroids were first visualized at the time of tubal sterilization (1978-1979 or 1985-1987) or who reported a history of uterine fibroids (n = 317). Controls were randomly selected from women with no laparoscopic evidence of or history of fibroids (n = 1,268). Adjusted odds ratios were estimated using unconditional logistic regression separately for White (n = 1,235) and African-American (n = 350) women. Risk factors for White women included: age 40-44 years (odds ratio (OR) = 6.3; 95% confidence interval (CI): 3.5, 11.6), > or =5 years since last delivery (OR = 1.9; 95% CI: 1.1, 3.1), lifetime cigarette smoking of > or =1 pack/day (OR = 1.6; 95% CI: 1.1, 2.3), menstrual cycle length of >30 days (OR = 1.6; 95% CI: 1.1, 3.3), and menstrual bleeding for > or =6 days (OR = 1.4; 95% CI: 1.0, 2.0). Parous women were at reduced risk compared with nulliparous women (OR = 0.2; 95% CI: 0.1, 0.3). Advancing age was the only significant risk factor for African-American women (ages 40-44 years, OR = 27.5; 95% CI: 5.6, 83.6). Current oral contraceptive use and elective abortion were not associated with fibroids.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Black People*
  • Case-Control Studies
  • Cohort Studies
  • Female
  • Humans
  • Leiomyoma / ethnology*
  • Leiomyoma / etiology
  • Leiomyoma / genetics
  • New York / ethnology
  • Premenopause
  • Prevalence
  • Reproductive History
  • Risk Factors
  • Sterilization, Tubal / statistics & numerical data*
  • Uterine Neoplasms / ethnology*
  • Uterine Neoplasms / etiology
  • Uterine Neoplasms / genetics
  • White People*