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Association between the incidence and mortality rates for corpus uteri cancer and human development index (HDI): a global ecological study

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 e...

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Detalles Bibliográficos
Autores principales: Khazaei, Zaher, Goodarzi, Elham, Sohrabivafa, Malihe, Naemi, Hasan, Mansori, Kamyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Obstetrics and Gynecology; Korean Society of Contraception and Reproductive Health; Korean Society of Gynecologic Endocrinology; Korean Society of Gynecologic Endoscopy and Minimal Invasive Surgery; Korean Society of Maternal Fetal Medicine; Korean Society of Ultrasound in Obstetrics and Gynecology; Korean Urogynecologic Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073362/
https://www.ncbi.nlm.nih.gov/pubmed/32206653
http://dx.doi.org/10.5468/ogs.2020.63.2.141
Descripción
Sumario: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 (β=1.10; 95% confidence interval [CI], 0.60–1.70) and LEB and mortality due to uteri cancer (β=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.