Objective: To analyze the association between sociodemographic characteristics, level of perceived stress and resilience with family functioning of immigrants in Brazil.
Method: Cross-sectional study with 122 immigrants living in a municipality in southern Brazil. Data collected in 2021, using questions for characterization, Family Cohesion and Adaptability, Resilience and Perceived Stress Assessment Scale.
Objective: to analyze the trend in hospitalization rates for mental and behavioral disorders due to alcohol use (ICD-10: F10.0), Brazil and its five regions, 2010-2020.
Methods: this was an ecological time-series study using data from the Hospital Information System of the Brazilian National Health System; to calculate the trend in hospitalizations, we used the Prais-Winsten generalized linear regression model and the Stata Statistical Software 14.
Objective: to evaluate the factors associated with risk related to the use of psychoactive substances in male inmates of a prison in a city in the South of Brazil.
Method: a cross-sectional data from 220 men deprived of liberty, inmates of a provisional custody institution in the State of Paraná, collected with a screening instrument and questionnaire. Binary logistic regression and odds ratio analysis were used to verify associations between risk related to substance use and socio-demographic characteristics of living conditions before incarceration and current incarceration.
Objectives: to analyze characteristics of homeless people and factors associated with living on the streets.
Methods: a census-type sectional survey carried out between 2015 and 2018, in the municipality of Maringá-Paraná. A total of 701 homeless answered a structured questionnaire with sociodemographic data, living conditions, and drug use.
Objective: to assess risk related to drug use in men admitted to a psychiatric hospital and to identify associations with sociodemographic, socioeconomic variables, and risk conditions.
Method: a cross-sectional study with the application of a screening test in 209 participants hospitalized for mental and behavioral disorders due to the use of psychoactive substances. Statistical analysis was performed using descriptive statistics and adjustment of a binary logistic regression model for moderate or high risk of drug use.