Statistical Analysis of Risk Factors for Generalized Cervical Diseases

Weiwei Wu

2022

Abstract

The aim of this study was to investigate the risk factors of generalized cervical diseases, including cervical cancer and cervical intraepithelial neoplasia (CIN). The data obtained in 2017 in Venezuela on 858 women were analysed. Logistic regression analyses were conducted to data both before and after balancing (oversampling) and data with different manipulation for missing values. 5, 4, 6 and 8 out of 9 variables were screened respectively as important risk factors of cervical diseases after backward selection in four acquired logistic regression models. Diagnosis of HPV infection, smoking and use of intrauterine device (IUD) were all screened in four models while number of sexual partners and age were included in three models separately. Diagnosis of HPV infection, use of IUD and number of sexual partners are positively correlated with cervical diseases. Smoking was negatively associated with cervical diseases based on the data. More variables were selected in model after data balancing. Model fitted to data after deleting missing values performed better than the model fitted to data with imputation. It requires high public attention to prevention of cervical diseases in Venezuela in terms of HPV infection, use of IUD and number of sex partners. Logistic regression models in our study are able to estimate patients’ risks of cervical diseases and can be used as a predictive tool for prevention.

Paper Citation

in Harvard Style

Wu W. (2022). Statistical Analysis of Risk Factors for Generalized Cervical Diseases. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 396-403. DOI: 10.5220/0011371100003438

in Bibtex Style

@conference{ichih22,
author={Weiwei Wu},
title={Statistical Analysis of Risk Factors for Generalized Cervical Diseases},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={396-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011371100003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Statistical Analysis of Risk Factors for Generalized Cervical Diseases
SN - 978-989-758-596-8
AU - Wu W.
PY - 2022
SP - 396
EP - 403
DO - 10.5220/0011371100003438