Tianjin Medical Journal ›› 2019, Vol. 47 ›› Issue (6): 636-639.doi: 10.11958/20181962

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Analysis of the risk factors of 110 cases of premature ovarian failure

CHEN Jian1,2 , QIU Shu2△   

  1. 1 Medical School of Jiangsu University, Zhenjiang 212003,China; 2 Yangzhou Maternal and Child Health-Care Center Affiliated to Medical School of Yangzhou University
  • Received:2018-12-07 Revised:2019-04-15 Published:2019-06-15 Online:2019-06-15

Abstract: Abstract: Objective To analyze the risk factors of premature ovarian failure (POF). Methods A total of 110 patients with POF who diagnosed and treated in our hospital from January 2015 to December 2017 were selected as POF group, and 110 healthy women were selected as control group. The levels of follicle stimulating hormone (FSH), luteinizing hormone (LH) and estradiol (E2) were detected and compared between the two groups. At the same time, the questionnaire about the influence factors of premature ovarian failure filled out by the two groups was collected and analyzed for statistical analysis. Logistic regression analysis of risk factors was used for POF in women. Results There were no statistically significant differences in terms of age and menarche age between the two groups. The hormone levels of FSH and LH were significantly higher in the POF group than those in the control group, and the level of E2 was significantly lower than that in the control group (P<0.05). Logistic regression analysis showed that occupational stress, poor sleep, smoking or passive smoking, type A behavior pattern, history of pelvic gynecological surgery, history of abortion curettage were the risk factors of occurrence of POF (P<0.05, OR>1). Conclusion Women should pay attention to the above risk factors of POF, reduce the negative impact of these aspects in daily life to actively prevent and slow down the occurrence and development of POF.

Key words: primary ovarian insufficiency, risk factors, logistic models, premature ovarian failure