The Personality Disorder Examination was administered to 302 normal controls in the New York High-Risk Project in order to elicit Axis II diagnoses (revised 3rd edition of the Diagnostic and Statistical Manual of Mental Disorders; American Psychiatric Association, 1987) and quantitative dimensions of psychopathology. LISREL confirmatory factor analysis was used to evaluate the Axis II hypothesis of 3 orthogonal factors. There was considerable overlap among personality disorders. The best fitting LISREL model was of 3 oblique factors that were different for male and female subjects. Given that our choice of variables to constrain in order to mathematically identify our models was partially based on analysis of intercorrelations in our data set, our methods were not purely confirmatory. We present our results not to confirm specific hypotheses but to generate explicit hypotheses that can be tested in independent samples.
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http://dx.doi.org/10.1037//0021-843x.103.2.259 | DOI Listing |
Soc Sci Med
December 2024
Thomas Jefferson University College of Population Health, 130 S. 9th Street, Suite 100. Philadelphia, PA, 19107, USA.
In this paper, we apply a measurement science perspective to explore both the epidemiologic and psychometric frameworks for the conceptualization, operationalization and assessment of self-reported adverse childhood experiences (srACEs). The epidemiologic paradigm suggests that srACEs are 'exposures', while the psychometric paradigm views responses on srACEs instrumentation as 'indicators'. It is the central premise of this paper that srACEs cannot be both exposures and indicators of scales.
View Article and Find Full Text PDFComput Biol Med
January 2025
Hamburg University of Technology, Hamburg, Germany.
The application of supervised models to clinical screening tasks is challenging due to the need for annotated data for each considered pathology. Unsupervised Anomaly Detection (UAD) is an alternative approach that aims to identify any anomaly as an outlier from a healthy training distribution. A prevalent strategy for UAD in brain MRI involves using generative models to learn the reconstruction of healthy brain anatomy for a given input image.
View Article and Find Full Text PDFPsychol Assess
January 2025
Department of Public Health, University of Helsinki.
We conducted the first validation of the Depression Anxiety Stress Scales (DASS-21) in Finnish. DASS-21 is a short public domain questionnaire, which presents a way to quickly and effectively screen for mental ill health. We recruited two large samples, one aged 24-45 ( = 3,101 [2,488 women]), and the other aged 60-82 ( = 5,462 [4,473 women]), all employees of the city of Helsinki at inclusion (2017 and 2000-2002).
View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Department of Nursing, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Background: Maintaining effective disease control in patients with inflammatory bowel disease (IBD) is both a significant goal and challenge. Drawing on the Common-Sense Model of Self-Regulation (CSM) and related research, this study investigates how IBD activity status influences disease control through both direct and indirect pathways.
Methods: A cross-sectional survey was conducted among 310 IBD patients who attended a tertiary general hospital, the leader of the IBD Alliance Group in Chongqing City, between March and August 2024.
Sci Data
January 2025
Centre for Ecosystem Science, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Antarctica, Earth's least understood and most remote continent, is threatened by human disturbances and climate-related changes, underscoring the imperative for biodiversity inventories to inform conservation. Antarctic ecosystems support unique species and genetic diversity, deliver essential ecosystem services and contribute to planetary stability. We present Antarctica's first comprehensive ecosystem classification and map of ice-free lands, which host most of the continent's biodiversity.
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