The Beck Depression Inventory-II (BDI-II) is a widely used tool for rating the severity of depressive symptoms. Studies on the factor structure of the BDI-II in adolescents have yielded controversial findings. Most studies have reported an oblique two-factor model that describes the 'cognitive' and 'somatic-affective' dimensions. However, there is variation in the item composition of each factor across studies. Alternative factor structures have been proposed, including one-factor, three-factor, hierarchical, and bifactor models. Additionally, there is limited data on measurement invariance across genders. This study aimed to examine hypothetical factor structures and gender equivalence of the BDI-II in a sample of Brazilian nonclinical adolescents (N = 1,184, aged 13-18 years, 59.1% females). Cross-validation of the BDI-II was performed through exploratory (EFA) and confirmatory factor analysis (CFA). Measurement invariance was evaluated using multigroup-CFA (MG-CFA). EFA suggested an oblique two-factor model depicting "affective-cognitive" and "somatic" dimensions. CFA tested competing models for the structure of BDI-II, including the simple one- and two-factor models, a bifactor model, and the EFA model along with its corresponding bifactor model. All models demonstrated adequate and similar fitness, well-defined factors, and good reliability. Bifactor analyses indicated a robust general factor with low reliable variance in total scores attributed to multidimensionality caused by the group factors in bifactor models. MG-CFA supported invariance across gender, suggesting that the same BDI-II construct could be applied to both female and male adolescents. This study provides evidence that the BDI-II could be used as a unidimensional measure of depressive symptoms in adolescents by researchers and clinicians.
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Ecotoxicol Environ Saf
January 2025
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China. Electronic address:
Honeybees, essential pollinators for maintaining biodiversity, are experiencing a sharp population decline, which has become a pressing environmental concern. Among the factors implicated in this decline, neonicotinoid pesticides, particularly those belonging to the fourth generation, have been the focus of extensive scrutiny due to their potential risks to honeybees. This study investigates the molecular basis of these risks by examining the binding interactions between Apis mellifera L.
View Article and Find Full Text PDFJ Neurosurg
January 2025
4Department of Neurosurgery, University of Tennessee Health Science Center, Memphis, Tennessee; and.
Objective: This study aimed to investigate the extent of gender disparities in financial interactions between neurosurgeons and the medical device industry, examining the differences in the number, amount, and types of payments made to male and female neurosurgeons.
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Adv Sci (Weinh)
January 2025
State Key Laboratory of Reproductive Medicine and Offspring Health, Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Perfluorohexane sulfonic acid (PFHxS) is extensively used in waterproof coatings and fire-fighting foams, and several studies have found it to be a potential health hazard, but there is still unknown about its effects on spermatogenesis. Our results showed that PFHxS-treated mice have significant reproductive toxicity, including a decrease in sperm count and motility, and the levels of sex hormones (P < 0.05).
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Biomedical Informatics, University of Colorado Anschutz School of Medicine, Aurora, Colorado, United States of America.
While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. This creates a situation where we have deep cellular profiles of one sample or condition, and bulk profiles across multiple samples and conditions. To bridge this gap, we propose BuDDI (BUlk Deconvolution with Domain Invariance).
View Article and Find Full Text PDFPLoS One
January 2025
Institute for Human Development, Aga Khan University, Nairobi, Kenya.
Introduction: Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges.
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