Despite the prominence of self-efficacy as a predictor of antiretroviral therapy (ART) adherence, relatively little work has examined domain-specific associations with steps in the care continuum or the possibility that substance use may have domain-specific associations with self-efficacy. This study analyzed data from a sample of 174 people living with HIV recruited through three clinics in the New York City metro area. Consistent with hypotheses, path analysis showed that appointments kept and viral load were each predicted only by their respective domain-specific self-efficacy components (i.e., self-efficacy for keeping appointments, = 0.01, = .04; and self-efficacy for taking ART medications, = -0.02, < .01). Path models also indicated domain-specific associations with substance use. Self-efficacy for keeping appointments was negatively associated with severity of drug use (= -1.81, < .01); meanwhile, self-efficacy for taking ART medications was negatively associated with severity of alcohol use (= -0.52, < .01). Accordingly, studies assessing barriers to retention in the HIV care continuum should conduct multi-domain assessments of self-efficacy for differential associations with specific behaviors. Furthermore, HIV care providers might consider screening for domain-specific self-efficacy to identify patients at risk of drop-out and tailoring interventions to various care continuum domains.
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http://dx.doi.org/10.1080/09540121.2021.1904501 | DOI Listing |
Psychol Russ
March 2024
National Research University Higher School of Economics, Moscow, Russia.
Background: Self-efficacy refers to students' perceived confidence in their ability to tackle learning tasks. Research shows that self-efficacy serves as an important predictor of academic achievement and relates to students' academic success, self-regulated learning, and motivation. It is therefore important to understand how self-efficacy develops and manifests itself in Russian schoolchildren and relates to their academic achievement.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
October 2024
William and Mary, Williamsburg, VA 23185, USA.
Graph neural networks (GNNs) are proficient machine learning models in handling irregularly structured data. Nevertheless, their generic formulation falls short when applied to the analysis of brain connectomes in Alzheimer's Disease (AD), necessitating the incorporation of domain-specific knowledge to achieve optimal model performance. The integration of AD-related expertise into GNNs presents a significant challenge.
View Article and Find Full Text PDFBMJ Open
October 2024
Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
Purpose: VAccine Study COVID-19 (VASCO) is a cohort study with a 5-year follow-up that was initiated when COVID-19 vaccination was introduced in the Netherlands. The primary objective is to estimate real-world vaccine effectiveness (VE) of COVID-19 vaccines against SARS-CoV-2 infection in the Netherlands, overall and in four subpopulations defined by age and medical risk.
Participants: The cohort consists of 45 547 community-dwelling participants aged 18-85 years who were included irrespective of their COVID-19 vaccination status or intention to get vaccinated.
The health benefits of meditation are well-documented, yet people struggle to practice regularly. Domain-specific self-efficacy is an important modifiable driver of health behavior change that is poorly understood in the meditation context. As such, the present study developed the Self-Efficacy for Regular Meditation Practice Scale (SERMS) assessing confidence in one's capacity to meditate frequently and in a way that favorably impacts well-being, including securing the psychological, social, and structural supports needed for ongoing practice.
View Article and Find Full Text PDFSurgery
September 2024
Department of Surgery, The MetroHealth System, Case Western Reserve University School of Medicine, Cleveland, OH; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH. Electronic address:
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