Background: Cervical cancer is second place as a killer of women in the world. Cervical cancer still be a problem of women's reproductive health. The incidence of both cervical cancer cases and deaths showed a trend that is increasing. Several factors are considered to influence the occurrence of cervical cancer are age, first marriage age, number of children, type of contraception, and length of contraception usage. This study aimed to analyze the influence of risk factors for cervical cancer to the cervical cancer cases in Wisnuwardhana's Cancer Foundation in 2017 use binary logistic regression method. Materials and Methods:Based on the calculation of the sample size obtained case and control samples each of 40, so the total sample in this study as many as 80 samples. The method of determining and sampling is done by using simple random sampling method. The results were analysed using multivariate binary logistic regression modelling backward method. Result:The results of multivariate binary logistic regression showed five predictor variables were suspected of having links with cervical cancer cases, there are three variables, they are age (Pvalue = 0.010), first marriage age (Pvalue = 0.044) and type of contraception (Pvalue = 0.000) that significantly affect the cases of cervical cancer. Conclusion:The study revealed that age, first marriage age, and type of contraception are the significant risk factors associated with cervical cancer at Wisnuwardhana Cancer Foundation Surabaya.
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