Introduction: Globally, alcohol use is among the most important risk factors related to burden of disease, and commonly emerges among the ten most important factors. Also, alcohol use disorders are major contributors to global burden of disease. Therefore, accurate measurement of alcohol use and alcohol-related problems is important in a public health perspective. The Alcohol Use Identification Test (AUDIT) is a widely used, brief ten-item screening instrument to detect alcohol use disorder. Despite this the factor structure and comparability across different (sub)-populations has yet to be determined. Our aim was to investigate the factor structure of the AUDIT-questionnaire and the viability of specific factors, as well as assessing measurement invariance across gender, age and educational level.
Methods: We employed data (N = 4,318) from the ongoing screening study in the Norwegian national WIRUS project. We used Confirmatory Factor Analysis (CFA) to establish the factor structure of the AUDIT. Next, we investigated the viability of specific factors in a bi-factor model, and assessed measurement invariance of the preferred factor structure.
Results: Our findings indicate the AUDIT is essentially unidimensional, and that comparisons can readily be done across gender, age and educational attainment.
Conclusion: We found support for a one-factor structure of AUDIT. To the best of our knowledge, this is the first study to investigate the viability of specific factors in a bi-factor model as well as evaluating measurement invariance across gender, age and educational attainment for the AUDIT questionnaire. Therefore, further studies are needed to replicate our findings related to essential unidimensionality.
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http://dx.doi.org/10.1016/j.drugalcdep.2019.06.002 | DOI Listing |
J Chem Theory Comput
January 2025
Lehrstuhl für Theoretische Chemie II, Ruhr-Universität Bochum, Bochum 44780, Germany.
Training accurate machine learning potentials requires electronic structure data comprehensively covering the configurational space of the system of interest. As the construction of this data is computationally demanding, many schemes for identifying the most important structures have been proposed. Here, we compare the performance of high-dimensional neural network potentials (HDNNPs) for quantum liquid water at ambient conditions trained to data sets constructed using random sampling as well as various flavors of active learning based on query by committee.
View Article and Find Full Text PDFSci Rep
January 2025
Advanced Power and Energy Center (APEC), Electrical Engineering Department, Khalifa University, Abu Dhabi, UAE.
Although detailed analytical models for droop-controlled microgrids are available, they are computationally complex and do not consider real-time variations in microgrid parameters and operating conditions. This paper proposes Kurtosis-Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) to identify the dominant modes in droop-controlled inverter-based microgrids (IBMGs) using local real-time measurements. In the proposed approach, a short-duration small disturbance is applied to the selected DG's active power droop gain, and then, the system's dominant modes are estimated from its local measurements.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Background: Satisfaction with life is a key concept for most individuals. The Satisfaction With Life Scale (SWLS) for measuring general life satisfaction has been widely analyzed in terms of cross-sectional associations. However, the knowledge about long-term changes in life satisfaction and the associations between such changes and changes in other variables of physical and mental health is limited.
View Article and Find Full Text PDFPsychol Aging
January 2025
Department of Psychology, Trinity University.
Recently, a distinction has been drawn between conventional false memories, which misrepresent specific facts, and deep distortions, which misrepresent relations that connect facts. We report the first study of adult developmental trends in deep distortions, using a paradigm in which people make conjoint recognition judgments about incompatible facts (e.g.
View Article and Find Full Text PDFUnlabelled: Sensory stimuli vary across a variety of dimensions, like contrast, orientation, or texture. The brain must rely on population representations to disentangle changes in one dimension from changes in another. To understand how the visual system might extract separable stimulus representations, we recorded multiunit neuronal responses to texture images varying along two dimensions: contrast, a property represented as early as the retina, and naturalistic statistical structure, a property that modulates neuronal responses in V2 and V4, but not in V1.
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