Although the Positive and Negative Syndrome Scale (PANSS) is widely used in clinical research, factor analytic studies of the scale have been inconsistent and questions remain about the underlying factor structure of schizophrenia symptoms. The purpose of this study was to examine whether the factor structure of the PANSS differs in men and women with schizophrenia. Principal components analysis (PCA) with equamax rotation was used to examine the factor structure of the PANSS separately in 124 males and 74 females with schizophrenia-related psychoses. In males, a four-factor structure was identified: 1) Negative, 2) Cognitive, 3) Positive, and 4) Hostility. In females, a four-factor structure also emerged: 1) Negative, 2) Cognitive, 3) Positive, and 4) Depression. The most notable difference between the male and female PCAs was the presence of a depression factor in the females and a hostility factor in males. These results support sex differences in the factor structure of schizophrenia symptoms, which has important implications for clinical research.
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http://dx.doi.org/10.3371/CSRP.WAAN.070415 | DOI Listing |
Blood
January 2025
Children's Hospital of Philadelphia & University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States.
Robust genetic characterization of paediatric AML has demonstrated that fusion oncogenes are highly prevalent drivers of AML leukemogenesis in young children. Identification of fusion oncogenes associated with adverse outcomes has facilitated risk stratification of patients, although successful development of precision medicine approaches for most fusion-driven AML subtypes have been historically challenging. This knowledge gap has been in part due to difficulties in targeting structural alterations involving transcription factors and in identification of a therapeutic window for selective inhibition of the oncofusion without deleterious effects upon essential wild-type proteins.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFChemphyschem
January 2025
Durgapur Government College, Department of Chemistry, INDIA.
The relative reactivity and cis/trans selectivity of the intramolecular [3+2] cycloaddition (IM32CA) reactions of nitrile oxide (NO), azide (AZ), nitrile sulfide (NS) and nitrile ylide (NY), leading to functionalized heterocycles are studied within the Molecular Electron Density Theory. The kinetically controlled IM32CA reactions are predicted to be cis stereospecific, while the reaction feasibility follows the order NY > NS > NO > AZ with the respective activation Gibbs free energies of 13.7, 17.
View Article and Find Full Text PDFPLoS One
January 2025
Evidence-based Public Health, Centre for International Health Protection, Robert Koch Institute, Berlin, Germany.
Health system resilience is defined as the ability of a system to prepare, manage, and learn from shocks. This study investigates the resilience of the German health system by analysing the system-related factors that supported health care workers, a key building block of the system, during the COVID-19 pandemic. We thematically analysed data from 18 semi-structured interviews with key informants from management, policy and academia, 17 in-depth interviews with health care workers, and 10 focus group discussions with health care workers.
View Article and Find Full Text PDFPLoS One
January 2025
Real Estate Research Center, Nanjing Agricultural University, Nanjing, China.
This paper aims to reveal the changing characteristics of the contribution rates of different production factors in China since the reform and opening up from two dimensions: stage and space. The study used national data from 1978 to 2021 and provincial data from 2000 to 2020, combined with methods such as C-D production function and spatial econometrics for analysis. Research has found that: (1) In terms of stage characteristics, during the structural adjustment stage (1978-1998), economic growth mainly relies on capital and labor input, and the contribution rate of land factors gradually decreases.
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