Population risk factors for late-stage presentation of cervical cancer in sub-Saharan Africa.

Cancer Epidemiol

The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom. Electronic address:

Published: April 2018

AI Article Synopsis

  • Cervical cancer is a major health issue in sub-Saharan Africa, often diagnosed late, which leads to higher mortality rates among women.
  • An ecological study evaluated various risk factors for HPV infection and cervical cancer, linking them to late-stage diagnoses using the incidence-to-mortality ratio (IMR) obtained from IARC's GLOBOCAN database.
  • Results indicated that socioeconomic factors, such as GDP and education level, along with health factors like HIV infection and reproductive behavior, significantly predict late-stage cervical cancer presentation in different regions of sub-Saharan Africa.

Article Abstract

Background: Cervical cancer is the most prevalent malignancy in sub-Saharan Africa (SSA) with many women only seeking professional help when they are experiencing symptoms, implying late-stage malignancy and higher mortality rates. This ecological study assesses population-level exposures of SSA women to the numerous risk factors for HPV infection and cervical cancer, against late-stage presentation of cervical cancer.

Materials And Method: A literature review revealed the relevant risk factors in SSA. Open-access databases were mined for variables closely representing each risk factor. A proxy for late-stage presentation was used (ratio of incidence-to-mortality, IMR), and gathered from IARC's GLOBOCAN 2012 database. Variables showing significant correlation to the IMR were used in stepwise multiple regression to quantify their effect on the IMR.

Results: Countries with high cervical cancer mortality rates relative to their incidence have an IMR nearer one, suggesting a larger proportion of late-stage presentation. Western Africa had the lowest median IMR (1.463), followed by Eastern Africa (IMR = 1.595) and Central Africa (IMR = 1.675), whereas Southern Africa had the highest median IMR (1.761). Variables selected for the final model explain 65.2% of changes seen in the IMR. Significant predictors of IMR were GDP (coefficient = 2.189 × 10, p = 0.064), HIV infection (-1.936 × 10, p = 0.095), not using a condom (-1.347 × 10, p = 0.013), high parity (-1.744 × 10, p = 0.008), and no formal education (-1.311 × 10, p < 0.001).

Conclusion: Using an IMR enables identification of factors predicting late-stage cervical cancer in SSA including: GDP, HIV infection, not using a condom, high parity and no formal education.

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http://dx.doi.org/10.1016/j.canep.2018.01.014DOI Listing

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