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In the current study we replicated and extended the validation of the Multidimensional Workaholism Scale through: 1) the examination of the relationship between the MWS and the Bergen Work Addiction Scale; 2) the test of measurement invariance of the U.S. and the Italian versions; and 3) the analysis of predictive validity of the MWS through a series of cross-lagged panel models on a two-wave Italian sample ( = 304), including work-family conflict and emotional exhaustion. Configural, metric and partial scalar invariance was achieved on a sample of 591 Italian and 313 U.S. workers. Results supported convergent, discriminant, and predictive validity of the Italian version. Evidence of the predictive role of workaholism was found in relation to work-family conflict and emotional exhaustion. Finally, the different dimensions demonstrated some incremental validity in the prediction of specific outcomes over and above other dimensions of the MWS. In sum, we provided additional evidence of the validity of the MWS, which represents a tool for researchers and practitioners, validating its use in Italy to better understand the workaholism phenomenon.
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http://dx.doi.org/10.1080/00223891.2023.2276268 | DOI Listing |
Target Oncol
September 2025
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Background: Population pharmacokinetic models can potentially provide suggestions for an initial dose and the magnitude of dose adjustment during therapeutic drug monitoring procedures of imatinib. Several population pharmacokinetic models for imatinib have been developed over the last two decades. However, their predictive performance is still unknown when extrapolated to different populations, especially children.
View Article and Find Full Text PDFJ Nephrol
September 2025
Division of Gastroenterology and Nephrology, Faculty of Medicine, Tottori University, Nishi-cho 36-1, Yonago, Tottori, 683-8504, Japan.
Background: Chronic kidney disease (CKD) is a public health concern; kidney size correlates with kidney function, except in diabetic kidney disease (DKD), where the kidney enlarges, limiting morphological measurement applications in CKD management. However, cortical size changes in DKD along with CKD progression remain understudied. We investigated kidney morphology alterations in patients with and without diabetes and established a regression equation for kidney function incorporating morphological alterations.
View Article and Find Full Text PDFFunct Integr Genomics
September 2025
Zhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Zhengzhou, China.
In this study, a comprehensive genome-wide identification and analysis of the aldo-keto reductase (AKR) gene family was performed to explore the role of Gossypium hirsutumAKR40 under salt stress in cotton. A total of 249 AKR genes were identified with uneven distribution on the chromosomes in four cotton species. The diversity and evolutionary relationship of the cotton AKR gene family was identified using physio-chemical analysis, phylogenetic tree construction, conserved motif analysis, chromosomal localization, prediction of cis-acting elements, and calculation of evolutionary selection pressure under 300 mM NaCl stress.
View Article and Find Full Text PDFNeuroradiology
September 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purpose: To develop and validate an integrated model based on MR high-resolution vessel wall imaging (HR-VWI) radiomics and clinical features to preoperatively assess periprocedural complications (PC) risk in patients with intracranial atherosclerotic disease (ICAD) undergoing percutaneous transluminal angioplasty and stenting (PTAS).
Methods: This multicenter retrospective study enrolled 601 PTAS patients (PC+, n = 84; PC -, n = 517) from three centers. Patients were divided into training (n = 336), validation (n = 144), and test (n = 121) cohorts.
J Ultrasound Med
September 2025
Department of Ultrasound, Donghai Hospital Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Objective: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics (DLRN) features derived from ultrasound and multi-sequence magnetic resonance imaging (MRI) for predicting survival, recurrence, and metastasis in patients diagnosed with triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC).
Methods: This retrospective, multicenter study included 103 patients with histopathologically confirmed TNBC across four institutions. The training group comprised 72 cases from the First People's Hospital of Lianyungang, while the validation group included 31 cases from three external centers.