Abstract:

Objective To investigate the relationship between metabolic syndrome （MetS）and its compo⁃ nents and the risk of female ovarian cancer. Methods As the research object，a prospective study included 311 750 cases of employees and retirees who underwent team physical examinations in the health management center of Sichuan Provincial People′s Hospital from January 2014 to December 2016.The baseline sociodemo⁃ graphic characteristics were collected through questionnaire survey，and the obesity，blood pressure，blood glu⁃ cose MetS and its components，such as blood lipid，were followed up every year. Multivariate Cox proportional hazards regression model was used to analyze the relationship between MetS and its components and the risk of female ovarian cancer. Results Ovarian cancer was diagnosed in 350 new cases，with an overall incidence den⁃ sity of 20.41/100000 person years. Mets patients had a higher risk of ovarian cancer than non Mets patients ［aRR（95%CI）：1.436（1.048 ~ 1.969），P = 0.002］；Among the abnormal components of MetS，overweight and / or obese people have a higher risk of ovarian cancer than those with normal BMI［aRR（95%CI）is 1.220 （1.025 ~ 1.453），P = 0.001］，and dyslipidemia people have a higher risk of ovarian cancer than those with normal blood lipid［aRR（95%CI）is 1.305（1.077 ~ 1.581），P = 0.004］. The results of stratified analysis showed that young people（≤50 years old）［RR（95%CI）was 3.219（1.900 ~ 5.453），P<0.001］，smoking/ passive smoking［RR（95%CI）was 2.155（1.202 ~ 3.865），P = 0.010］，non⁃smoking/quitting［RR（95%CI） was 1.800（1.038 ~ 3.123），P = 0.036］，drinking［RR（95%CI）was 1.984（1.178 ~ 3.341），P = 0.013］， non⁃drinking / quitting［RR（95%CI）was 1.933（1.059 ~ 3.528），P = 0.034］，No physical exercise［RR（95%CI）was 2.745（1.391 ~ 5.420），P = 0.001］，mental stress was very high / relatively high［RR（95%CI）was 1.770（1.018 ~ 3.076），P = 0.018］. Conclusion Overweight and/or obesity，dyslipidemia，and MetS can all increase a woman′s risk of ovarian cancer. As a result，controlling weight and maintaining normal BMI and blood lipid levels through lifestyle intervention measures is an effective primary preventive measure to reduce the risk of ovarian cancer in Chinese women.

Key words:

metabolic syndrome, ovarian cancer, cohort study, cox regression model