We examined the latent structure and taxonicity of hypersexuality in large university and community samples of male and female respondents. Participants completed the Hypersexual Behavior Inventory (HBI) and Sexual Compulsivity Scale (SCS), each as part of larger anonymous online surveys of sexual behavior. Exploratory factor analyses (EFA) were performed in part to prepare the data for taxometric analysis and also to identify the putative dimensions underpinning each measure. Three latent dimensions were identified from each of the Sexual Compulsivity Scale (dyscontrol, consequences, and preoccupation) and Hypersexual Behavior Inventory (coping, dyscontrol, and consequences). Taxometric analyses of the generated factors using mean above minus below a cut (MAMBAC), maximum covariance (MAXCOV), and latent mode factor analysis (L-Mode) broadly supported a dimensional latent structure for hypersexuality, particularly in female participants. Implications pertaining to the assessment of hypersexuality are discussed.
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http://dx.doi.org/10.1007/s10508-018-1273-9 | DOI Listing |
Heliyon
January 2025
Pharmaceutical Sciences and Technology Program, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
Hyaluronic acid (HA) is a popular surface modifier in targeted cancer delivery due to its receptor-binding abilities. However, HA alone faces limitations in lipid solubility, biocompatibility, and cell internalization, making it less effective as a standalone delivery system. This comprehensive study aimed to explore a dynamic landscape of complexation in HA-based nanoparticles in cancer therapy, examining diverse aspects from influential modifiers to emerging trends in cancer diagnostics.
View Article and Find Full Text PDFBr J Psychiatry
January 2025
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Making informed clinical decisions based on individualised outcome predictions is the cornerstone of precision psychiatry. Prediction models currently employed in psychiatry rely on algorithms that map a statistical relationship between clinical features (predictors/risk factors) and subsequent clinical outcomes. They rely on associations that overlook the underlying causal structures within the data, including the presence of latent variables, and the evolution of predictors and outcomes over time.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department of Data Analysis, Ghent University, Henri Dunantlaan 1, 9000, Ghent, Belgium.
Model estimation for SEM analyses in commonly used software typically involves iterative optimization procedures, which can lead to nonconvergence issues. In this paper, we propose using random starting values as an alternative to the current default strategies. By drawing from uniform distributions within data-driven lower and upper bounds (see De Jonckere et al.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Basic Sciences, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín, 050010, Colombia.
The NLRP3 inflammasome, regulated by TLR4, plays a pivotal role in periodontitis by mediating inflammatory cytokine release and bone loss induced by Porphyromonas gingivalis. Periodontal disease creates a hypoxic environment, favoring anaerobic bacteria survival and exacerbating inflammation. The NLRP3 inflammasome triggers pyroptosis, a programmed cell death that amplifies inflammation and tissue damage.
View Article and Find Full Text PDFMedicine (Baltimore)
November 2024
College of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Utilizing network pharmacology and molecular docking, we evaluated the possible pharmacological mechanism of Danggui Sini Decoction (DGSND) for treating erectile dysfunction (ED). DGSND's chemical components and targets were found utilizing the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Disease-related genes associated with ED were identified through GeneCards, OMIM, TTD, DrugBank, and DisGeNET databases.
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