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1.
BMC Public Health ; 23(1): 992, 2023 05 29.
Article in English | MEDLINE | ID: mdl-37248460

ABSTRACT

BACKGROUND: Prostate cancer is the leading cause of cancer death in Ecuadorian men. However, there is a lack of information regarding the evolution of prostate cancer mortality rates in Ecuador and its regions in the last few decades. OBJECTIVE: The aim of this study was to report prostate cancer mortality rates in Ecuador and its geographical areas and observe the evolution of these rates between 2004 and 2019. METHODS: An observational ecological study was conducted, analysing data for prostate cancer deaths from 2004 to 2019 in Ecuador. Age standardized mortality rates (ASMR) were calculated per 100,000 men using the world standard population with the direct method proposed by SEGI. Joinpoint regression analysis was performed to examine mortality trends. We used a Cluster Map to explore relationships among regions between 2015 and 2019. RESULTS: Ecuador reported 13,419 deaths by prostate cancer between 2004 and 2019, with the Coastal region accounting for 49.8% of the total deaths. The mean age at death was 79 years (± 10 years), 91.7% were elderly (more than 65 years old) and had primary education (53%). Deaths by prostate cancer were more frequently reported among mestizos (81.4%). There were no significant variations in these percentages in Ecuador and its regions during the study period. Carchi province had the highest mortality rate in 2005 and 2019 (> 13 deaths per 100,000). Heterogeneity in the evolution of mortality rates was reported among the provinces of Ecuador. Azuay decreased in the first few years, and then increased from 2010 to 2019, whereas Guayas and Pichincha decreased throughout the whole period. CONCLUSION: Although prostate cancer mortality rates in Ecuador have remained stable over the past few decades, there are significant disparities among the different regions. These findings suggest the need for the development of national and provincial registration measures, integrated healthcare actions, and targeted interventions to reduce the burden of prostate cancer in the Ecuadorian population.


Subject(s)
Prostatic Neoplasms , Male , Humans , Aged , Ecuador/epidemiology , Regression Analysis , Mortality
2.
Aten Primaria ; 53(5): 102021, 2021 May.
Article in Spanish | MEDLINE | ID: mdl-33887602

ABSTRACT

OBJECTIVE: The present study seeks to analyse sociodemographic determinants related to severe acute respiratory infections (SARI) and calculate the priorization index in the cantons of Ecuador to identify areas probably most vulnerable to COVID-19 transmission. DESIGN: This descriptive ecological observational study. SETTING: 224 cantons (geographical area) of Ecuador with secondary data sources of hospital information. PARTICIPANTS: The unit of measurement was 224 cantons of Ecuador, in which analysed morbidity and lethality rates for SARI using hospital release data (2016-2018). MAIN MEASUREMENTS: Eight sociodemographic indicators were structuralized, and correlation tests applied for a multiple regression model. The priorization index was created with criteria of efficiency, efficacy, effect size (IRR) and equity. Using the sum of the index for each indicator, the priorization score was calculated and localized in a territorial map. RESULTS: Morbidity associated factors where: school attendance years, urbanization and population density; for mortality resulted: school attendance and ethnics (indigenous) IRR: 1.09 (IC95%:1.06-1.15) and IRR: 1.024 (IC95%:102-1.03) respectively. With lethality where related cantons, with population older than 60 years, IRR: 1.049 (IC95%: 1.03-1.07); 87 cantons had high priority mostly localized in the mountain region and the Morona Santiago Province. CONCLUSIONS: Morbidity and mortality of SARI in Ecuador are associated to social and demographic factors. Priorization exercises considering these factors permit the identification of vulnerable territories facing respiratory disease propagation. The social determinants characteristic for each territory should be added to known individual factors to analyse the risk and vulnerability for COVID in the population.


Subject(s)
COVID-19/etiology , COVID-19/prevention & control , Social Determinants of Health , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/transmission , Child , Child, Preschool , Ecuador/epidemiology , Environment , Female , Geographic Mapping , Humans , Infant , Infant, Newborn , Influenza, Human/epidemiology , Influenza, Human/etiology , Influenza, Human/prevention & control , Influenza, Human/transmission , Male , Middle Aged , Pandemics , Risk Assessment , Risk Factors , Severity of Illness Index , Socioeconomic Factors , Vulnerable Populations , Young Adult
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