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Longitudinal associations between informal caring, social network, and psychological distress among adolescents and young adults: modelling within-person effects.
BMC Public Health
January 2025
Division of Epidemiology, School of Public Health, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai-Shi, Miyagi, 980-0872, Japan.
Background: Informal caring is associated with mental health deterioration among young people and impacts their help-seeking ability. Social network can provide social support and mitigate the impact of informal care. However, young carers may avoid identification and withdraw from social networks.
View Article and Find Full Text PDFQualitative evaluation of the implementation and national roll-out of the NHS App in England.
BMC Med
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Background: The NHS App launched in 2019 as the 'digital front door' to the National Health Service in England with core features including General Practitioner (GP) appointment booking, repeat prescriptions, patient access to records and, later on, COVID-19 vaccination certification. Similar patient portals have been adopted in different formats and with variable levels of success. In this longitudinal study (2021-2023) we examined how the NHS App became implemented in the pandemic context and beyond.
View Article and Find Full Text PDFLong-COVID and postural orthostatic tachycardia syndrome: a preliminary comparison of neuropsychological performance.
Clin Auton Res
January 2025
Neuro-E-Motion Research Team, Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007, Bilbao, Spain.
Purpose: The aim of the study is to analyze and compare the cognitive profile between 59 patients with long-COVID [LC; 30 of them with and 29 without a positive coronavirus disease 2019 (COVID-19) confirmatory test] and 31 patients with postural orthostatic tachycardia syndrome (POTS) and a matched group of 39 healthy control participants.
Methods: Participants were examined on a battery of neuropsychological tests, including verbal memory, visuospatial abilities, attention, processing speed, verbal fluency, working memory, and visual memory. Anxious-depressive symptomatology was also analyzed and then controlled for possible influence on cognitive performance.
Sleep and cardiorespiratory function assessed by a smart bed over 10 weeks post COVID-19 infection.
Sci Rep
January 2025
Department of Medicine, University of Chicago, Chicago, IL, USA.
Inadequate information exists regarding physiological changes post-COVID-19 infection. We used smart beds to record biometric data following COVID-19 infection in nonhospitalized patients. Recordings of daily biometric signals over 14 weeks in 59 COVID-positive participants' homes in 2020 were compared with the same participants' data from 2019.
View Article and Find Full Text PDFPaying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.
Commun Biol
January 2025
Dept. Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA.
Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this problem is addressed through wet-lab experiments, which are often expensive and time consuming. The recent advancement in neural language models has provided stunning results in modeling and deciphering sequences.
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