Exploring Risk Factors for Cervical Cancer that lead to Biopsy Examination in the United States: A Logistic Regression Analysis

Abstract

Introduction: Cervical cancer remains a significant global health concern with a substantial impact on women's lives, particularly in less-developed countries where resources are already limited. The disease is primarily caused by high-risk subtypes of human papillomavirus (HPV) but is largely preventable. Objective: The primary objective of this study was to examine the factors that contribute to the development of cervical cancer and explore whether these factors are linked to the choice of cervical biopsy.

Methods: The dataset from the UCI Repository was analyzed. Bivariate analysis was conducted to identify risk factors significantly associated with the occurrence of biopsy. Multiple logistic regression modeling was used to identify key predictors of biopsy likelihood.

Results: Bivariate analysis showed several risk factors that were significantly associated with biopsy occurrence, including the duration of hormonal contraceptive use, a history of sexually transmitted diseases (STDs), specific STD types, cervical screening methods, and the number of STDs among patients. Further analysis using multiple logistic regression modeling identified two key predictors: prolonged ho rmonal contraceptive use (for 5 to 9 years) and the use of the Schiller cervical screening method.

Conclusion: The findings of this study indicate the importance of targeted screening and prevention strategies in cervical cancer management, which could play a crucial role in reducing the disease burden.