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Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators
Objective The present study aimed to examine which development indicators are correlated with cervical cancer (CC) mortality rates in Brazil. Methods This was an ecological study that correlated mortality rates and indicators, such as human development index (HDI), gross domestic product (GDP) per c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Revinter Publicações Ltda
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309279/ https://www.ncbi.nlm.nih.gov/pubmed/30912091 http://dx.doi.org/10.1055/s-0039-1683859 |
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author | Vale, Diama Bhadra Sauvaget, Catherine Murillo, Raul Muwonge, Richard Zeferino, Luiz Carlos Sankaranarayanan, Rengaswamy |
author_facet | Vale, Diama Bhadra Sauvaget, Catherine Murillo, Raul Muwonge, Richard Zeferino, Luiz Carlos Sankaranarayanan, Rengaswamy |
author_sort | Vale, Diama Bhadra |
collection | PubMed |
description | Objective The present study aimed to examine which development indicators are correlated with cervical cancer (CC) mortality rates in Brazil. Methods This was an ecological study that correlated mortality rates and indicators, such as human development index (HDI), gross domestic product (GDP) per capita, illiteracy rate, fertility rate, screening coverage, proportion of private health insurance use, density of physicians, and density of radiotherapy centers. The mortality rates were obtained from the Brazilian national registry, while the indicators were based on official reports from the Ministry of Health. Univariate and multivariate linear regression was used. Results Among the states of Brazil, the average age-specific CC mortality rate from 2008 to 2012 varied from 4.6 to 22.9 per 100,000 women/year. In the univariate analysis, HDI, proportion of private health insurance use, density of physicians, and density of radiotherapy centers were inversely correlated with the mortality rates. Fertility rate was positively correlated with the mortality rates. In the multivariate analysis, only fertility rate was significantly associated with the CC mortality rate (coefficient of correlation: 9.38; 95% confidence interval [CI]: 5.16–13.59). Conclusion A decrease in the fertility rate, as expected when the level of development of the regions increases, is related to a decrease in the mortality rate of CC. The results of the present study can help to better monitor the quality assessment of CC programs both among and within countries. |
format | Online Article Text |
id | pubmed-10309279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Thieme Revinter Publicações Ltda |
record_format | MEDLINE/PubMed |
spelling | pubmed-103092792023-07-27 Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators Vale, Diama Bhadra Sauvaget, Catherine Murillo, Raul Muwonge, Richard Zeferino, Luiz Carlos Sankaranarayanan, Rengaswamy Rev Bras Ginecol Obstet Objective The present study aimed to examine which development indicators are correlated with cervical cancer (CC) mortality rates in Brazil. Methods This was an ecological study that correlated mortality rates and indicators, such as human development index (HDI), gross domestic product (GDP) per capita, illiteracy rate, fertility rate, screening coverage, proportion of private health insurance use, density of physicians, and density of radiotherapy centers. The mortality rates were obtained from the Brazilian national registry, while the indicators were based on official reports from the Ministry of Health. Univariate and multivariate linear regression was used. Results Among the states of Brazil, the average age-specific CC mortality rate from 2008 to 2012 varied from 4.6 to 22.9 per 100,000 women/year. In the univariate analysis, HDI, proportion of private health insurance use, density of physicians, and density of radiotherapy centers were inversely correlated with the mortality rates. Fertility rate was positively correlated with the mortality rates. In the multivariate analysis, only fertility rate was significantly associated with the CC mortality rate (coefficient of correlation: 9.38; 95% confidence interval [CI]: 5.16–13.59). Conclusion A decrease in the fertility rate, as expected when the level of development of the regions increases, is related to a decrease in the mortality rate of CC. The results of the present study can help to better monitor the quality assessment of CC programs both among and within countries. Thieme Revinter Publicações Ltda 2019-03-25 2019-04 /pmc/articles/PMC10309279/ /pubmed/30912091 http://dx.doi.org/10.1055/s-0039-1683859 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Vale, Diama Bhadra Sauvaget, Catherine Murillo, Raul Muwonge, Richard Zeferino, Luiz Carlos Sankaranarayanan, Rengaswamy Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title | Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title_full | Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title_fullStr | Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title_full_unstemmed | Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title_short | Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators |
title_sort | correlation of cervical cancer mortality with fertility, access to health care and socioeconomic indicators |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309279/ https://www.ncbi.nlm.nih.gov/pubmed/30912091 http://dx.doi.org/10.1055/s-0039-1683859 |
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