Aims And Objectives: To explore the association between self-efficacy and self-management by modelling three types of social support as mediators among stroke high-risk populations.
Background: Self-efficacy and social support (i.e. objective support, subjective support and support utilisation) are important for self-management among stroke high-risk populations. Self-efficacy activates three types of social support, and the effect of social support on self-management varies by types among chronic patients. Therefore, social support may act as a mediator between self-efficacy and self-management, and the mediating role may vary by types of social support. Disentangling the role of these different types of social support can guide tailored interventions.
Design: A cross-sectional study.
Methods: This study was conducted among 448 Chinese adults at high risk for stroke. Self-efficacy, self-management and social support were assessed using the Self-Efficacy Scale, the Stroke Self-management Scale and the Social Support Rating Scale respectively. The PROCESS SPSS Macro version 3.3, model 4 was used to explore the mediating role of different types of social support in the relationship between self-efficacy and self-management. This study followed STROBE checklist for cross-sectional studies (Appendix S1).
Results: Self-efficacy improved three types of social support, and subjective support and support utilisation promoted self-management, but objective support hindered self-management. The specific indirect effect of objective support and subjective support was significant but not that of support utilisation. Objective support, subjective support and support utilisation attenuated the total effect of self-efficacy on self-management by -23.8%, 23.8% and 7.7% respectively.
Conclusions: Mediating effect of social support in the relationship between self-efficacy and self-management varies by type, and the positive effect of subjective support is offset by the detrimental effect of objective support.
Relevance To Clinical Practice: Among stroke high-risk populations, interventions should target objective support and subjective support as well as self-efficacy to efficiently improve their self-management.
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http://dx.doi.org/10.1111/jocn.16191 | DOI Listing |
Sci Rep
December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
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December 2024
Potsdam University of Applied Sciences, Kiepenheuerallee 5, 14469, Potsdam, Germany.
Persuasive appeals frequently prove ineffective or produce unintended outcomes, due to the presence of motivated reasoning. Using the example of electric cars adoption, this research delves into the impact of emotional content, message valence, and the coherence of pre-existing attitudes on biased information evaluation. By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning.
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January 2025
Sentience Institute, New York City, New York, USA.
The ways people imagine possible futures with artificial intelligence (AI) affects future world-making-how the future is produced through cultural propagation, design, engineering, policy, and social interaction-yet there has been little empirical study of everyday people's expectations for AI futures. We addressed this by analysing two waves (2021 and 2023) of USA nationally representative data from the Artificial Intelligence, Morality, and Sentience (AIMS) survey on the public's forecasts about an imagined future world with widespread AI sentience (total N = 2401). Average responses to six forecasts (exploiting AI labour, treating AI cruelly, using AI research subjects, AI welfare, AI rights advocacy, AI unhappiness reduction) showed mixed expectations for humanity's future with AI.
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February 2025
School of Nursing, McMaster University, Hamilton, Ontario, Canada.
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