The objective was to analyze the impact of the Brazilian Traffic Code and the Law Against Drinking and Driving on mortality from traffic accidents in the State of Paraná, Brazil, from 1980 to 2014. This was an ecological time series study on mortality from traffic accidents in residents 15 to 49 years of age, stratified by the sex, age, and categories of victims, with data from the Mortality Information System. The time trend study used a segmented linear regression model and the Cochrane-Orcutt iterative procedure.
View Article and Find Full Text PDFObjective: To analyze the trend of fall-related morbidity and mortality in older adults in Brazil from 1996 to 2012.
Method: This is an ecological study of fall-related admission and mortality rate trends in older adults by gender, Brazilian regions, and Brazilian state capitals using data from the Hospital Information System of the Unified Healthcare System (SIH-SUS) and from the National Mortality Information System (SIM). Trend analyses were based on polynomial regression models.
Objective: To analyze the factors associated with recurrent falls in community-dwelling older adults from Cuiabá.
Methods: This is an epidemiological, prospective, concurrent cohort study with a two-year follow-up. In-home surveys were conducted in 2012 and 2013.
OBJECTIVE To estimate the incidence and predicting factors associated with falls among older inpatients. METHODS Prospective cohort study conducted in clinical units of three hospitals in Cuiaba, MT, Midwestern Brazil, from March to August 2013. In this study, 221 inpatients aged 60 or over were followed until hospital discharge, death, or fall.
View Article and Find Full Text PDFObjective: Analyzing the effect of urinary incontinence as a predictor of the incidence of falls among hospitalized elderly.
Method: Concurrent cohort study where 221 elderly inpatients were followed from the date of admission until discharge, death or fall. The Kaplan-Meier methods, the incidence density and the Cox regression model were used for the survival analysis and the assessment of the association between the exposure variable and the other variables.