[Prevalence of hysterectomy in women 18 to 79 years old: results of the German Health Interview and Examination Survey for Adults (DEGS1)]

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013 May;56(5-6):716-22. doi: 10.1007/s00103-012-1660-7.
[Article in German]

Abstract

In many countries, hysterectomy is one of the most frequently performed surgical procedures in gynaecology. The aim of this study is to analyse the prevalence of hysterectomy in Germany by socio-demographic factors and factors of (reproductive) health. Analyses are based on data from the "German Health Interview and Examination Survey for Adults (DEGS1)", which is part of the health monitoring of the Robert Koch Institute (RKI). The prevalence of hysterectomy among participating women (18-79 years old) was 17.5% (n = 689). Most women (49.1%) were 40-49 years old when surgery was performed. 6.1% of hysterectomised women had cancer of the uterus or ovaries, and 19.7% underwent a simultaneous oophorectomy. There were significant differences in the prevalence of hysterectomy regarding social status, place of residence in 1988, number of live births, and body weight. DEGS1 is the first study showing the prevalence of hysterectomy in a representative sample of the German population. More detailed analyses of the DEGS data, among other data sources, are needed to evaluate the importance of the described associations and to assess trends. An English full-text version of this article is available at SpringerLink as supplemental.

Publication types

  • English Abstract

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Female
  • Germany / epidemiology
  • Health Status*
  • Health Surveys / statistics & numerical data*
  • Humans
  • Hysterectomy / mortality*
  • Interviews as Topic / methods*
  • Middle Aged
  • Postoperative Complications / mortality*
  • Prevalence
  • Risk Assessment
  • Sex Distribution
  • Social Class
  • Survival Analysis
  • Survival Rate
  • Treatment Outcome
  • Women's Health / statistics & numerical data*
  • Young Adult