Background: Few large-scale, comparative studies have examined both the positive mental well-being outcomes of work-life balance and the broader socio-economic context by which it is shaped. Therefore, the aim of this study was to investigate the association between work-life balance and work engagement across a wide range of European welfare states, as well as to examine whether work-life balance varies across European countries and whether this variance can be explained by welfare regime, controlling for individual-level factors.
Methods: This study utilized data from the 2015 European Working Conditions Survey. In total, 35 401 workers from 30 European countries could be classified into the adopted welfare regime typology. Work engagement was measured using an ultra-short version of the Utrecht Work Engagement Scale, and work-life balance with a question on the fit between working hours and family or social commitments. Due to the hierarchical structure of the data, multilevel regression models were applied.
Results: A statistically significant positive association between work-life balance and work engagement across the European workforce was found. Between-country variance in work-life balance was demonstrated and this can in part be explained by welfare regime.
Conclusions: While it has long been recognized that occupational stress and work-related mental health problems are shaped by the socio-economic context and thus regarded as public health concerns in Europe, our results suggest that this applies to well-being at work and related support factors as well.
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http://dx.doi.org/10.1093/eurpub/ckad046 | DOI Listing |
Br J Nurs
January 2025
Professor, Department of Nursing, Beaver College of Health Sciences, Appalachian State University, Boone, North Carolina, USA.
Background/aim: Addressing the critical global shortage of nurses requires an understanding of how a global pandemic reshaped nurses' motivations and intentions toward education. This study aimed to describe COVID-19's impact on nurses' intent to pursue additional education.
Method: This descriptive study, based in North Carolina in the USA, used content analysis with an inductive approach to examine the responses of nurses to one open-ended question in a large quantitative workforce survey: how has COVID-19 influenced your plans for future education? Responses were coded with counts and organised into themes and subthemes.
Scand J Occup Ther
January 2025
Department of Health Sciences, Mental Health, Activity and Participation (MAP) group, Lund University, Sweden.
Background: The occupational therapy intervention Balancing Everyday Life (BEL) aims to support mental health service users towards improved occupational balance and personal recovery. Yet, no research has specifically addressed recovery experiences among BEL participants.
Aim: To investigate how the recovery process was experienced by mental health services users who had participated in BEL.
J Clin Med
January 2025
Department of Medicine, John Paul II Catholic University of Lublin, 20-950 Lublin, Poland.
The work main purposes were to identify the sources of problems and demands causing parental burnout and to specify the resources/support factors during the COVID-19 pandemic. The study was based on the Balance Theory of Risk and Support/Resource Factors (BR Model) by Mikolajczak and Roskam. The study explored the predictive value of socio-economic variables, religiosity, the meaning of life, positivity, perceived social support, family functionality, and balance between risks and resources in parental burnout using the structural equation modelling method on a sample of 337 parents.
View Article and Find Full Text PDFLife (Basel)
January 2025
Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany.
Kirsten Rat Sarcoma viral oncogene homolog (KRAS) is a frequently occurring mutation in non-small-cell lung cancer (NSCLC) and influences cancer treatment and disease progression. In this study, a machine learning (ML) pipeline was applied to radiomic features extracted from public and internal CT images to identify KRAS mutations in NSCLC patients. Both datasets were analyzed using parametric ( test) and non-parametric statistical tests (Mann-Whitney U test) and dimensionality reduction techniques.
View Article and Find Full Text PDFBMC Public Health
January 2025
Lund University, Lund, Sweden.
Working as a nurse offers job security but also poses risks for mental health issues. This study aims to explore factors and processes that affected health and work experiences among nurses in Sweden during the COVID-19 pandemic. Semi-structured interviews were conducted with 14 nurses from high COVID-19 patient load areas (ambulance, emergency departments, ICU, infection wards, and specialized COVID-19 wards).
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