This study examines whether setting priorities in personal life-investment is reflected in a heightened sensitivity towards thematically related stimuli. Two groups of adults (N = 47; M = 30 years; 53% female) were compared: (1) participants with a parallel goal structure (n = 12) who feel equally committed to the work and the family domain, both in the present and in the future, and (b) participants with a sequential goal structure (n = 24), who currently feel more involved in the work domain, but expect to be more engaged in the family domain in the future. Five tasks were used to assess preference, all of them simultaneously presenting work- and family-related stimuli. As hypothesized, individuals with a sequential goal structure showed a stronger preference for work-related stimuli than individuals with a parallel structure. There were clear differences in word detection, in the elaboration of work-related statements, and in the choice between work-related and family-related reading material. Results are discussed primarily in reference to models of action-regulation.
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BMC Health Serv Res
January 2025
Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA.
Background: This mixed methods study identified needed refinements to a telehealth-delivered cultural and linguistic adaptation of Meaning-Centered Psychotherapy for Chinese patients with advanced cancer (MCP-Ch) to enhance acceptability, comprehensibility, and implementation of the intervention in usual care settings, guided by the Ecological Validity Model (EVM) and the Practical, Robust Implementation and Sustainability Model (PRISM).
Methods: Fifteen purposively sampled mental health professionals who work with Chinese cancer patients completed surveys providing Likert-scale ratings on acceptability and comprehensibility of MCP-Ch content (guided by the EVM) and pre-implementation factors (guided by PRISM), followed by semi-structured interviews. Survey data were descriptively summarized and linked to qualitative interview data.
Harm Reduct J
January 2025
School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Background: The introduction of Direct-Acting Antivirals (DAAs) transformed Hepatitis C (HCV) treatment, despite this uptake of DAAs remains lower than required to meet the WHO Sustainable Development Goal (3.3). Treatment with interferon was suggested to be able to deliver important outcomes for people who use drugs in addition to a viral cure, such as social redemption, and shift from a stigmatised identity.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Massachusetts General Hospital, Boston, MA, USA.
Purpose: Chronic graft-versus-host-disease (cGVHD), an inflammatory condition affecting allogeneic hematopoietic cell transplantation (HCT) survivors, is associated with a range of debilitating physical and psychological sequela. Yet HCT recipients with cGVHD are virtually absent from survivorship intervention research. We conducted a randomized clinical trial to evaluate the feasibility and preliminary efficacy of a multidisciplinary group coping skills intervention (Horizons) tailored to meet these patients' unique needs.
View Article and Find Full Text PDFSci Rep
January 2025
Research Institute for Brain Development and Peak Performance, RUDN University, Moscow, Russia.
Maze tasks, originally developed in animal research, have become a popular method for studying human cognition, particularly with the advent of virtual reality. However, these experiments frequently rely on simplified environments and tasks, which may not accurately reflect the complexity of real-world situations. Our pilot study aims to transfer a multi-alternative maze with a complex task structure, previously demonstrated to be useful in studying animal cognition, to studying human spatial cognition.
View Article and Find Full Text PDFBiometrics
January 2025
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Effect modification occurs when the impact of the treatment on an outcome varies based on the levels of other covariates known as effect modifiers. Modeling these effect differences is important for etiological goals and for purposes of optimizing treatment. Structural nested mean models (SNMMs) are useful causal models for estimating the potentially heterogeneous effect of a time-varying exposure on the mean of an outcome in the presence of time-varying confounding.
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