(2020) Association between the incidence and mortality rates for corpus uteri cancer and human development index (HDI): a global ecological study. Obstetrics & gynecology science. pp. 141-149. ISSN 2287-8572 (Print) 2287-8572 (Linking)
Full text not available from this repository.
Abstract
Objective: The aim of this study was to determine the association between the incidence of and mortality due to corpus uteri cancer (CUC) and the human development index (HDI) across the world. Methods: This was an ecological study. The incidence and mortality rates of CUC along with HDI data were extracted from the Global Cancer Data in 2018. Subsequently, correlation coefficient and linear regression model were used to determine the association between the incidence and mortality rates of CUC and the HDI. STATA-14 was used for data analysis. Results: There was a positive and significant correlation between the incidence (r=0.693; P<0.001) and mortality (r=0.284; P<0.001) rates of uterine cancer and the HDI. A positive and significant correlation was also observed between the incidence rate and the gross national income per 1,000 capita (r=0.440; P<0.001), mean years of schooling (MYS) (r=0.740; P<0.001), life expectancy at birth (LEB) (r=0.590; P<0.001), and expected years of schooling (r=0.650; P<0.001). The results of the linear regression model showed a significant statistical association between MYS and the incidence of CUC (beta=1.10; 95 confidence interval CI, 0.60-1.70) and LEB and mortality due to uteri cancer (beta=0.40; 95% CI, 0.10-0.90). Conclusion: The results of this study suggest a significant statistical association between the incidence and mortality rates of CUC and the HDI.
Item Type: | Article | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Creators: |
|
||||||||||||
Keywords: | Human development index Incidence Mortality Uterine neoplasms World was reported. | ||||||||||||
Divisions: | |||||||||||||
Page Range: | pp. 141-149 | ||||||||||||
Journal or Publication Title: | Obstetrics & gynecology science | ||||||||||||
Journal Index: | Pubmed | ||||||||||||
Volume: | 63 | ||||||||||||
Number: | 2 | ||||||||||||
Identification Number: | https://doi.org/10.5468/ogs.2020.63.2.141 | ||||||||||||
ISSN: | 2287-8572 (Print) 2287-8572 (Linking) | ||||||||||||
Depositing User: | مهندس مهدی شریفی | ||||||||||||
URI: | http://eprints.medilam.ac.ir/id/eprint/2811 |
Actions (login required)
View Item |