Resultados: 5

Colorectal cancer mortality in women: trend analysis in Brazil and its regions and states

Rev. bras. enferm; 75 (2), 2022
ABSTRACT Objectives: to analyze colorectal cancer mortality trends in women in Brazil and its regions and states. Methods: ecological, time-series study with trend analysis of deaths caused by colorectal cancer in women in Brazil and its regions and states between 2008 and 2019. Polynomial regression w...

Trend of transplants and organ and tissue donations in Brazil: a time series analysis

Rev. bras. enferm; 74 (1), 2021
ABSTRACT Objectives: to indentify the time trend of rates of organs and tissues effective donors, of reports and types of transplanted organs per million people of the Brazilian population. Methods: ecological study, of time series, about reports of organ donations and on transplants. The data were pro...

Associated factors for acute kidney injury in preterm infants

Rev. bras. enferm; 72 (supl.3), 2019
ABSTRACT Objective: to analyze the prevalence and factors associated with acute kidney injury in preterm newborns. Method: a cross-sectional study based on records data of preterm newborns hospitalized in two neonatal units in northwest Paraná State in 2015. For data analysis, the logistic regression ...

Hospitalization and mortality by diabetes mellitus in children: analysis of temporal series

Rev. bras. enferm; 72 (supl.3), 2019
ABSTRACT Objective: to analyze the trend of hospitalization rates and mortality due to Diabetes Mellitus in children and adolescents in Brazil. Method: temporal series study, hospitalization rates and diabetes mortality in children and adolescents. Data were obtained from the Hospital Information Syste...

Time series of hospitalizations of adolescents due to mental and behavioral disorders

Rev. bras. enferm; 72 (6), 2019
ABSTRACT Objective: to analyze the trend of hospitalizations of adolescents due to mental and behavioral disorders in Paraná, from 1998 to 2015. Method: ecological study of time series. Data were analyzed by means of segmented linear regression modeling for time series, estimated for each of the four ...