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Typical sex differences in white matter (WM) microstructure during development are incompletely understood. Here we evaluated sex differences in WM microstructure during typical brain development using a sample of neurotypical individuals across a wide developmental age (N=239, aged 5-22 years). We used the conventional diffusion-weighted MRI (dMRI) model, diffusion tensor imaging (DTI), and two advanced dMRI models, the tensor distribution function (TDF) and neurite orientation dispersion density imaging (NODDI) to assess WM microstructure. WM microstructure exhibited significant, regionally consistent sex differences across the brain during typical development. Additionally, the TDF model was most sensitive in detecting sex differences. These findings highlight the importance of considering sex in neurodevelopmental research and underscore the value of the advanced TDF model.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10862784 | PMC |
http://dx.doi.org/10.1101/2024.02.02.578712 | DOI Listing |
Epidemiol Serv Saude
September 2025
Universidade Federal do Piauí, Picos, PI, Brazil.
Objective: To assess the simultaneity of risk behaviors for chronic non-communicable diseases and their association with individual and contextual characteristics in Brazilian adolescents.
Methods: Cross-sectional study using data from the 2019 Brazilian National Health Survey. The simultaneity of factors of the consumption of ultra-processed foods, level of physical activity, smoking and alcohol use was analyzed, according to individual and contextual characteristics, estimating the odds ratios (OR) and respective 95% confidence intervals (95%CI) for fixed effects and variance and 95%CI for random effects, through multilevel polytomous logistic regression.
J Bras Pneumol
September 2025
. Departamento de Pneumologia, Centro Hospitalar Universitário de São João, Porto, Portugal.
Objectives: The 9th edition of the Tumor, Node, Metastasis (TNM-9) lung cancer classification is set to replace the 8th edition (TNM-8) starting in 2025. Key updates include the splitting of the mediastinal nodal category N2 into single- and multiple-station involvement, as well as the classification of multiple extrathoracic metastatic lesions as involving a single organ system (M1c1) or multiple organ systems (M1c2). This study aimed to assess how the TNM-9 revisions affect the final staging of lung cancer patients and how these changes correlate with overall survival (OS).
View Article and Find Full Text PDFJ Bras Pneumol
September 2025
. Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo (SP) Brasil.
Objective: To describe the sociodemographic and clinical characteristics of individuals exposed to smoking or biomass smoke and followed at primary health care (PHC) centers across three states in Brazil.
Methods: This was a cross-sectional multicenter study including patients followed at any of four PHC centers in Brazil. Patients ≥ 35 years of age who were smokers or former smokers, or were exposed to biomass smoke were included, the exception being those with physical/mental disabilities and those who were pregnant.
Arq Gastroenterol
September 2025
Universidade Federal da Bahia, Faculdade de Medicina, Programa de Pós-graduação em Medicina e Saúde, Salvador, BA. Brasil.
Objective: Identify psychosocial risk factors for non-adherence to medication following liver transplantation.
Methods: We used the Medication Level Variability Index (MLVI) for the assessment of adherence in 52 subjects selected for a pre-transplant liver procedure and monitored them for 6 months following transplantation. Patients were divided into exposed and non-exposed groups according to adherence, and each group was analyzed using psychosocial variables: demographic characteristics, quality of life, impulsivity, resilience, anxiety and depression.
Cien Saude Colet
August 2025
Faculdade de Medicina da Universidade Federal de Pelotas. Pelotas RS Brasil.
The objective of this study was to analyze the characteristics of avoidable mortality in the population aged five to 69 years living in the city of Pelotas/RS, comparing it with the rest of the state of Rio Grande do Sul, from 2000 to 2021. An ecological study was conducted analyzing avoidable mortality coefficients according to sex and age, from 2000 to 2021. The data source was the Mortality Information System, and the trend analysis was performed using Prais-Winsten regression, with standardization of coefficients.
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