Background: This study examines the relationship between perceived demands (workload and organizational constraints) of teachers' work during the online period of schooling during the COVID-19 crisis and well-being (emotions, engagement, and job crafting), with work passion as a mediator.
Methods: The survey was carried out on a sample of 383 teachers during the first wave of the COVID-19 pandemic. The Scale of Organizational Constraints and the Workload Scale, the Passion Scale adapted for work, the Job Crafting Questionnaire, the Utrecht Scale of Work Engagement, and the Scale of Positive and Negative Experience was used.
Results: Harmonious passion strengthened the positive relationships between workload and organizational constraints and job crafting and weakened the negative relationship with positive emotions and the positive one with negative emotions. The positive relationship between workload and engagement has been strengthened by harmonious passion. The negative relationship between organizational constraints and engagement became positive and weaker. Relationships between variables were weakened, i.e., workload and engagement, organizational constraints and job crafting, or strengthened, i.e., organizational constraints and engagement, by an obsessive passion. In tested models, obsessive passion has the opposite effect and is weaker than harmonious passion.
Conclusion: The structural equation modeling (SEM) confirmed that work passion, mainly harmonious, is a mechanism explaining the relationship between the demands of forced work from home with teachers' well-being.
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http://dx.doi.org/10.3390/ijerph192215095 | DOI Listing |
Cureus
December 2024
Internal Medicine, Good Samaritan Hospital, Cincinnati, USA.
Mechanical thrombectomy (MT) has revolutionized the management of proximal large vessel occlusions (LVOs) in patients with acute ischemic stroke (AIS), improving long-term outcomes compared to standard treatments. However, despite its success in high-income countries, the widespread implementation of MT in Africa remains limited. With Africa experiencing one of the highest stroke burdens globally, this study examines the barriers impeding the adoption of MT in the region.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Agricultural Economics, Faculty of Agriculture, Atatürk University, Yakutiye, Erzurum, 25240, Türkiye.
Push-pull technology (PPT) continues to gain relevance among smallholder farmers across the East African region in managing the constraints affecting cereal crop yields including stemborers, fall armyworm, striga weed, and low soil fertility. While previous research has emphasized the significance of socioeconomic factors in explaining farmers' decisions to adopt PPT, the social-psychological factors that influence farmers' adoption intentions have not been extensively studied. Therefore, this study investigated the influence of social-psychological factors on the intention to adopt or increase the land area under PPT based on the theory of planned behavior (TPB).
View Article and Find Full Text PDFWaste Manag
January 2025
Green Engineering Research Group, Department of Chemical Engineering, Faculty of Engineering and The Built Environment, Durban University of Technology, Durban 4001, South Africa.
Global waste generation, particularly waste tyres, is a significant issue, with South Africa contributing significantly to this problem. In 2021, 1.5 billion waste tyres were generated, with an expected 4.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Faculty of Nursing, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
: The aging population has led to a rise in cognitive impairments, including dementia, often associated with multimorbidity. Early diagnosis of cognitive decline is crucial, especially in primary care, where time constraints and the limitations of diagnostic tools may hinder accurate detection. This study aims to assess the cognitive functions of multimorbid patients using the Mini-Mental State Examination (MMSE) and the Lithuanian version of the General Practitioner Assessment of Cognition (LT-GPCOG).
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Since traffic flow has not been generated, a traffic noise prediction model based on actual traffic state data cannot be directly applied to the planned road network. Therefore, a regional traffic noise prediction method is proposed to find the upper limit of network noise emission based on design elements. The model is developed with noise predictions of the basic road section, interrupted/continuous intersections, and regional network.
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