Prevalence and determinants of female genital amputation among adolescent girls and young women in Ethiopia: multilevel analysis

J Health Popul Nutr. 2023 Dec 15;42(1):144. doi: 10.1186/s41043-023-00484-1.

Abstract

Introduction: Female genital amputation is a harmful traditional practice that has adverse risks on health outcomes. Consequently, it affects girls and women's physical, psychological, and mental health conditions. However, evidence on female genital amputation factors among adolescent girls and young women in Ethiopia was limited.

Method: Secondary data analysis was conducted from the 2016 Ethiopian Demographic and Health Survey. A weighted sample size included in this study was 2961 adolescent girls and young women. Data management and further analysis were performed using Stata 14 software. An adjusted odds ratio with a 95% confidence interval was used for measuring a significant relationship between factors with the outcome variable.

Result: This study found that the prevalence of female genital amputation among adolescent girls and young women in Ethiopia was 53.4%. Among individual- and community-level variables included in the multivariable multilevel analysis: maternal age, religious status, marital status, maternal educational level, occupational status, residence areas, community uneducated level, and community mass media were significant factors for female genital amputation.

Conclusion: The prevalence of female genital amputation among adolescent girls and young women in Ethiopia remains high. Those individual- and community-level factors influence female genital amputation among adolescent girls and young women in Ethiopia. It requires health interventions on female genital amputation to improve behavioral changes and create awareness about harmful practices.

Keywords: Adolescent; Ethiopia; Female genital amputation; Women.

Publication types

  • Letter

MeSH terms

  • Adolescent
  • Educational Status
  • Ethiopia / epidemiology
  • Female
  • Genitalia, Female*
  • Humans
  • Male
  • Multilevel Analysis
  • Prevalence