We aimed to evaluate the psychometric properties of the Brazilian version of the Patient Health Questionnaire (PHQ-8). A study with a sample of 4,170 individuals (≥ 15 years old) from the urban area. Conglomerate sampling was adopted in two stages (census sectors and streets), with weighting of estimates by sample weights. A structured questionnaire with sociodemographic data, the PHQ - the modules for depression, generalized anxiety disorder and panic disorder - and the Self-Reporting Questionnaire (SRQ-20) were used. In the evaluation of the PHQ-8, we verified the construct validity by analyzing the dimensional structure, convergent validity and internal consistency. We found a linear disorder without losses to maintain the four response categories. The factor analysis found unidimensionality of the depression construct, with strong factor loads, low residual variances, low residual correlation between items, good fit of the model, internal consistency and satisfactory convergent factorial validity (high loads and correlations with other tests/scales of similar constructs). The PHQ-8 has a one-dimensional structure with evidence of good validity and reliability, being suitable for use in the Brazilian population.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1590/0102-311XEN176421 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Sociology, University of California, Irvine, CA 92697-5100.
In recent years, Brazil's non-White (Brown and Black) population became a numerical majority for the first time since the 19th century. Although we know this change was mostly due to racial reclassification, we do not know how such changes are related to skin color, the primary marker of race in Brazil. Using data from six Latin American Public Opinion Project (LAPOP), or America's Barometer, surveys from 2010 to 2023, we examine how changes in racial self-identification (White, Brown, or Black) are related to respondent skin color (light, medium, or dark).
View Article and Find Full Text PDFPLoS One
January 2025
School of Business, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
The impact of COVID-19 has extended beyond the health toll it has taken on populations. The global economy has experienced significant downturns, with unemployment rates reaching unprecedented highs for this century. Nonetheless, the agricultural sector has been uniquely affected by the pandemic, particularly given its crucial role in food supply.
View Article and Find Full Text PDFBraz J Microbiol
January 2025
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Chlamydias are zoonotic pathogens, broadly present in several bird species and responsible for economic losses in animal production. Our study focused on assessing the prevalence of Chlamydial species posing zoonotic risks in farm animals within the highly biodiverse Argentine, Brazil, and Paraguay tri-border area, characterized by significant human interaction. We surveyed nine farms in an area and nasally swabbed a total of 62 animals, that included cattle, horses and pigs.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
Background: Social and health‐related disparity factors are important predictors of brain health in low and middle‐income countries (LMIC). Social predictors of cognition have a higher impact on brain health among LMICs than classic demographic factors, such as age and sex. This study aimed to evaluate the impact of modifiable and non‐modifiable social and health‐related factors on cognition in a Brazilian population‐based cohort.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of São Paulo, São Paulo, Brazil
Background: The outcomes of extensive Genome‐Wide Association Study (GWAS) data in Polygenic Risk Score (PRS) studies exhibit varying odds ratios (ORs), ranging from 1.13 (Bellenguez) to 1.34 (Kunkle).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!