Bao Shan1, Jun-Hong Cai2, Shu-Ying Yang1, Zhuo-Ri Li3. 1. Department of Gynecology and Obstetrics, Hainan Provincial People's Hospital, Haikou 570311, China. 2. Central Laboratory, Hainan Provincial People's Hospital, Haikou 570311, China. 3. Department of Surgery, Hainan Provincial People's Hospital, Haikou 570311, China. Electronic address: Baoshan3@hotmail.com.
Abstract
OBJECTIVE: To study the relevant risk factors of polycystic ovarian syndrome (PCOS) of Li People so as to provide basis for early diagnosis and treatment of PCOS. METHODS: With case-control study method, 285 cases of PCOS of Li People were as recruited case group, and 580 cases of non-PCOS of female Li People as control group. Questionnaire was adopted to collect data regarding risk factors of PCOS, then the risk factors of PCOS was searched by univariate and multivariate analysis. RESULTS: Multivariate analysis showed that the risk factors of PCOS included in menstrual cycle disorder (OR = 5.824), bad mood (OR = 2.852), family history of diabetes (OR = 7.008), family history of infertility (OR = 11.953), menstrual irregularity of mother (OR = 2.557) and lack of physical exercise (OR = 1.866). CONCLUSIONS: To target the high risk factors of menstrual cycle disorder, family history of diabetes, family history of infertility, family history of diabetes, bad mood and lack of physical exercise of female population, we should implement early screen, diagnose and treatment of POCS in order to reduce the incidence rate of PCOS and improve prognosis of PCOS.
OBJECTIVE: To study the relevant risk factors of polycystic ovarian syndrome (PCOS) of Li People so as to provide basis for early diagnosis and treatment of PCOS. METHODS: With case-control study method, 285 cases of PCOS of Li People were as recruited case group, and 580 cases of non-PCOS of female Li People as control group. Questionnaire was adopted to collect data regarding risk factors of PCOS, then the risk factors of PCOS was searched by univariate and multivariate analysis. RESULTS: Multivariate analysis showed that the risk factors of PCOS included in menstrual cycle disorder (OR = 5.824), bad mood (OR = 2.852), family history of diabetes (OR = 7.008), family history of infertility (OR = 11.953), menstrual irregularity of mother (OR = 2.557) and lack of physical exercise (OR = 1.866). CONCLUSIONS: To target the high risk factors of menstrual cycle disorder, family history of diabetes, family history of infertility, family history of diabetes, bad mood and lack of physical exercise of female population, we should implement early screen, diagnose and treatment of POCS in order to reduce the incidence rate of PCOS and improve prognosis of PCOS.