title: [A cross-sectional study of infertility prevalence and influencing factors in Uygur and Kazak women, Xinjiang Uygur autonomous region].
abstract: OBJECTIVE
  To investigate the prevalence of infertility and related factors in Uygur and Kazak women in Xinjiang Uygur autonomous region (Xinjiang).
  
  
  METHODS
  Questionnaire survey and pelvic examination were conducted among 535 Uygur women and 322 Kazak women at reproductive age who were selected through stratified cluster random sampling in Sansan and Fuhai counties in Xinjiang. The data were analyzed with software SPSS 17.0.
  
  
  RESULTS
  The prevalence of infertility among the Uygur and Kazak women were 26.5% and 21.7% respectively, the difference was not statistically significant (P>0.05). The prevalence of primary infertility among the Uygur and Kazak women were 14.7%, and 8.7%, respectively, the difference was statistically significant (P<0.05). The prevalence of secondary infertility among the Uygur and Kazak women were 11.8% and 13.0%, respectively, the difference was not statistically significant (P>0.05). The prevalence of infertility in the Uygur women was correlated with household income, pelvic inflammation, endometriosis and BMI, while the prevalence of infertility in the Kazak women was correlated with age of marriage, endometriosis and the history of ectopic pregnancy.
  
  
  CONCLUSIONS
  The prevalence of infertility was high among the Uygur and Kazak women at reproductive age in Xinjiang. The influencing factors varied with ethnic group. It is necessary to conduct targeted health education and provide early diagnosis and effective treatment.
authors.affiliation: People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China.
authors.forename: Yonghui
authors.initials: Y
authors.lastname: Jiao
authors.affiliation: People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China.
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Song
authors.affiliation: The First Affiliated Hospital of Xinjiang Medical University; Email: caixia5512@126.com.
authors.forename: Xia
authors.initials: X
authors.lastname: Cai
mesh_terms: D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005006:Ethnicity; D005260:Female; D006801:Humans; D007246:Infertility / Q000453:epidemiology* / Q000208:ethnology; D008297:Male; D015995:Prevalence; D012307:Risk Factors; D011795:Surveys and Questionnaires