During the COVID-19 pandemic, telework emerged as a pivotal strategy to mitigate the spread of the virus. However, telework's feasibility was contingent on job roles. This gave rise to two distinct groups: teleworkers and on-site workers. However, the impacts of social support and well-being extended to both groups. This study investigated the link between organisational and supervisory family support and subjective well-being, examining work engagement as a mediator. Conducted in Portugal, this cross-sectional study surveyed 515 individuals via web-based questionnaires. Data were analysed using descriptive statistics, correlation analysis, confirmatory factor analysis, and multiple-group analysis. The findings revealed a positive correlation between perceived organisational family support (POFS) and work engagement for both groups. Additionally, perceived supervisory family support (PSFS) positively correlated with work engagement for telecommuters but not on-site workers. Furthermore, work engagement was positively associated with subjective well-being for both groups. Moreover, work engagement mediated the relationship between POFS and subjective well-being. This study enriches the literature by analysing POFS, PSFS, work engagement, and subjective well-being dynamics among teleworkers and on-site employees.
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http://dx.doi.org/10.3390/ijerph21040447 | DOI Listing |
Brain Cogn
January 2025
Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China. Electronic address:
Human experiences are inherently shaped by individual perspectives, leading to diverse interpretations of the same events. However, shared activities, such as communal film watching or sports viewing, underscore the dual nature of these experiences: collective joy arises through social interactions, while individual emotional responses are influenced by personal preferences. The neural mechanisms underlying this interplay between shared and idiosyncratic experiences, particularly in the context of reward processing, remain insufficiently explored.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany.
Purpose: Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend of theory and practice from trainees. Current training methods, however, often do not provide adequate engagement, fail to address individual learning needs or do not cover rare diseases.
Methods: In this work, an application for structured Abdominal Examination Training using Augmented Reality (AETAR) is presented.
BMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
View Article and Find Full Text PDFMidwifery
December 2024
Health Systems and Equity, Eastern Health Clinical School, Monash University, Australia. Electronic address:
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
Acta Psychol (Amst)
January 2025
Department of English Language, College of Arts, King Faisal University, Al Ahsa, Saudi Arabia.
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated in four writing tasks, with results demonstrating significant improvements in essay quality, particularly in clarity, structure, and depth. AI tools provided real-time feedback, enhancing students' ability to refine claims, data, backing, and counterarguments.
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