The epidemiological profile of hysterectomy in rural Chinese women: a population-based study

BMJ Open. 2017 Jun 30;7(6):e015351. doi: 10.1136/bmjopen-2016-015351.

Abstract

Objectives: Hysterectomy is one of the most common surgical procedures performed on women in developed countries; however, little is known about the epidemiology of hysterectomy in low-income to middle-income regions. This study seeks to evaluate the prevalence of hysterectomy and its risk factors in rural China.

Methods: Questionnaires were collected from 3328 female adults aged 25â€"69 years in rural Anyang, China, in 2009â€"2011. Hysterectomy status was ascertained by the gynaecologist at the time of cytological test. Univariate and multivariate regression analyses were performed to assess the risk factors for hysterectomy.

Results: The overall prevalence of hysterectomy was 3.31% (110/3328). Women above the age of 40 years had a higher prevalence of prior hysterectomy, compared with those aged 25â€"39 years (5.01% vs 0.33%). Obesity was marginally related with a higher risk of hysterectomy (adjusted OR=1.59; 95% CI 0.99 to 2.56; body mass index (BMI) ≥28.0 vs 18.5 ≤ BMI <24.0). History of prior pregnancy loss conferred a greater risk for hysterectomy (adjusted OR=1.51; 95% CI 1.02 to 2.23). Of the 75 (68.18%, 75/110) cases who provided further information on hysterectomy, 84.00% (63/75) had undergone total abdominal hysterectomy and 70.67% (53/75) had received surgery for leiomyoma.

Conclusions: Rural Chinese women had a relatively low prevalence of hysterectomy, and the majority of reported hysterectomies were performed abdominally for leiomyoma. Hysterectomy prevalence differed significantly by age, BMI and history of pregnancy loss. This study expands the current understanding of the epidemiology of hysterectomy in lower resource areas.

Keywords: Epidemiology; Gynaecology; Hysterectomy; Prevalence.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Body Mass Index
  • China / epidemiology
  • Cohort Studies
  • Female
  • Humans
  • Hysterectomy / statistics & numerical data*
  • Leiomyoma / epidemiology
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology
  • Poverty
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Surveys and Questionnaires