Background: The COVID-19 pandemic has caused major disruptions in all aspects of daily functioning, from school and work to interactions with friends and family. The Functioning Assessment Short Test (FAST) is an interviewer-administered scale validated in the psychiatric sample with no previous study assessing its validity and reliability in a digital format. Thus, we aimed to analyse the psychometric properties of the digital version of the FAST and understand the implications of COVID-19 and restrictive measures on functioning.
Methods: Data were collected using an online survey. The psychometric properties of the digital FAST were assessed by confirmatory factor analysis, Cronbach's alpha, and discriminant functional by cluster analysis in a community sample.
Results: Out of the total sample, 2,543 (84.1%) were female, and the mean (SD) age was 34.28 (12.46) years. The digital FAST retained the six factors structure observed in the original version, with Cronbach's alpha above 0.9. In addition, we showed evidence of discriminant validity by differentiating three clusters of psychosocial functioning. Clinical and demographic differences between groups explained, in part, the heterogeneity of functioning, thus providing support for the construct validity of the instrument.
Conclusion: The digital FAST is a simple and easy-to-understand instrument that provides a multidimensional assessment of functioning without the need for an interviewer. Furthermore, our findings may help to better understand the psychosocial implications of the pandemic and the importance of planning specific interventions to rehabilitee the affected group.
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http://dx.doi.org/10.2174/17450179-v18-e2210121 | DOI Listing |
Sci Rep
December 2024
Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Ossification of the ligamentum flavum (OLF) is the main causative factor of spinal stenosis, but how to accurately and efficiently identify the ossification region is a clinical pain point and an urgent problem to be solved. Currently, we can only rely on the doctor's subjective experience for identification, with low efficiency and large error. In this study, a deep learning method is introduced for the first time into the diagnosis of ligamentum flavum ossificans, we proposed a lightweight, automatic and efficient method for identifying ossified regions, called CDUNeXt.
View Article and Find Full Text PDFBackground: Insomnia is a modifiable risk factor for type 2 diabetes.
Objective: Describe the methodology for the Sleep for Health study, a randomized clinical trial examining the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) in reducing hyperglycemia in 300 people with both insomnia and prediabetes.
Outcomes: Primary outcome is glucose level 2 h after a 75-g glucose load.
Diseases
December 2024
Division of Nephrology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan.
Background/objectives: Myostatin, primarily produced by skeletal muscle, inhibits muscle growth and promotes protein degradation. It has been implicated in conditions such as obesity, insulin resistance, and cardiovascular disease. However, its association with endothelial function in chronic kidney disease (CKD) patients remains unclear.
View Article and Find Full Text PDFPediatr Diabetes
December 2024
Department of Pediatrics, Division of Pediatric Endocrinology, University of Michigan, Ann Arbor, USA.
Context: Insulin sensitivity and secretion indices can be useful tools in understanding insulin homeostasis in children at risk for diabetes. There have been few studies examining the reproducibility of these measures in pediatrics.
Objective: To determine whether fasting or oral glucose tolerance test (OGTT)-derived insulin measures would be more reproducible and whether there would be differences based on weight, sex, race, and pubertal status.
Front Psychol
December 2024
Department of Communication and Media, University of Liverpool, Liverpool, United Kingdom.
In the fast-paced, densely populated information landscape shaped by digitization, distinguishing information from misinformation is critical. Fact-checkers are effective in fighting fake news but face challenges such as cognitive overload and time pressure, which increase susceptibility to cognitive biases. Establishing standards to mitigate these biases can improve the quality of fact-checks, bolster audience trust, and protect against reputation attacks from disinformation actors.
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