The Relationship Between Recreational Activity and Dementia Behavior: An Exploratory Study

This study explores the effects recreational activity has on specific dementia behaviors such as wandering, pacing, agitation, calling out and repetitive verbal comments of 15 nursing home residents with dementia. Previous research indicated that too often a resident exhibiting a dementia behavior warranting the need for a restraint is treated with a physical or chemical restraint without careful consideration of the meaning of the behavior. The ethical dilemma of using restraints suggests the need to find alternatives to restraint usage. The study examines how activities affect agitation levels of the residents. This research consisted of an observational study of 15 residents\u27 behaviors before, during and after recreational activity. Previous research related to dementia demonstrates that physical activity plays a large role in moderating dementia and behaviors in residents. The four time periods during the observations showed that the residents\u27 behavior did not change due to recreational activity. Not all of the residents actively participated in the activities to measure their behavior changes over all time periods

The Peroxisomal Targeting Signal 1 in sterol carrier protein 2 is autonomous and essential for receptor recognition

<p>Abstract</p> <p>Background</p> <p>The majority of peroxisomal matrix proteins destined for translocation into the peroxisomal lumen are recognised <it>via </it>a C-terminal Peroxisomal Target Signal type 1 by the cycling receptor Pex5p. The only structure to date of Pex5p in complex with a cargo protein is that of the C-terminal cargo-binding domain of the receptor with sterol carrier protein 2, a small, model peroxisomal protein. In this study, we have tested the contribution of a second, ancillary receptor-cargo binding site, which was found in addition to the characterised Peroxisomal Target Signal type 1.</p> <p>Results</p> <p>To investigate the function of this secondary interface we have mutated two key residues from the ancillary binding site and analyzed the level of binding first by a yeast-two-hybrid assay, followed by quantitative measurement of the binding affinity and kinetics of purified protein components and finally, by <it>in vivo </it>measurements, to determine translocation capability. While a moderate but significant reduction of the interaction was found in binding assays, we were not able to measure any significant defects <it>in vivo</it>.</p> <p>Conclusions</p> <p>Our data therefore suggest that at least in the case of sterol carrier protein 2 the contribution of the second binding site is not essential for peroxisomal import. At this stage, however, we cannot rule out that other cargo proteins may require this ancillary binding site.</p

Peroxisome membrane proteins: Multiple trafficking routes and multiple functions?

PMPs (peroxisome membrane proteins) play essential roles in organelle biogenesis and in co-ordinating peroxisomal metabolism with pathways in other subcellular compartments through transport of metabolites and the operation of redox shuttles. Although the import of soluble proteins into the peroxisome matrix has been well studied, much less is known about the trafficking of PMPs. Pex3 and Pex19 (and Pex16 in mammals) were identified over a decade ago as critical components of PMP import; however, it has proved surprisingly difficult to produce a unified model for their function in PMP import and peroxisome biogenesis. It has become apparent that each of these peroxins has multiple functions and in the present review we focus on both the classical and the more recently identified roles of Pex19 and Pex3 as informed by structural, biochemical and live cell imaging studies. We consider the different models proposed for peroxisome biogenesis and the role of PMP import within them, and propose that the differences may be more perceived than real and may reflect the highly dynamic nature of peroxisomes

Variability in the Integration of Peers in a Multi-site Digital Mental Health Innovation Project.

Peer support specialists (peers) who have the lived experience of, and are in recovery from, mental health challenges are increasingly being integrated into mental health care as a reimbursable service across the US. This study describes the ways peers were integrated into Help@Hand, a multi-site innovation project that engaged peers throughout efforts to develop and offer digital mental health interventions across counties/cities (sites) in California. Using a mixed methods design, we collected quantitative data via quarterly online surveys, and qualitative data via semi-annual semi-structured phone interviews with key informants from Help@Hand sites. Quantitative data were summarized as descriptive findings and qualitative data from interviews were analyzed using rapid qualitative analysis methods. In the final analytic phase, interview quotes were used to illustrate the complex realities underlying quantitative responses. 117 quarterly surveys and 46 semi-annual interviews were completed by key informants from 14 sites between September 2020 and January 2023. Peers were integrated across diverse activities for support and implementation of digital mental health interventions, including development of training and educational materials (78.6% of sites), community outreach (64.3%), technology testing (85.7%), technology piloting (90.9%), digital literacy training (71.4%), device distribution (63.6%), technical assistance (72.7%), and cross-site collaboration (66.7%). Peer-engaged activities shifted over time, reflecting project phases. Peer-provided digital literacy training and technology-related support were key ingredients for project implementations. This study indicates the wide range of ways peers can be integrated into digital mental health intervention implementations. Considering contextual readiness for peer integration may enhance their engagement into programmatic activities

Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.

BackgroundDigital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user's uptake and sustained interactions with these interventions.ObjectiveThis systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs.MethodsA systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included.ResultsA total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one's own health.ConclusionsAlthough previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions

Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study

BackgroundMental health concerns are a significant issue among community college students, who often have less access to resources than traditional university college students. Mobile apps have the potential to increase access to mental health care, but there has been little research investigating factors associated with mental health app use within the community college population. ObjectiveThis study aimed to understand facilitators of and barriers to mental health app use among community college students. MethodsA web-based survey was administered to a randomly selected sample of 500 community college students from April 16 to June 30, 2020. Structural equation modeling was used to test the relationships between the use of mental health apps, perceived stress, perceived need to seek help for mental health concerns, perceived stigma, past use of professional mental health services, privacy concerns, and social influence of other people in using mental health apps. ResultsOf the 500 participants, 106 (21.2%) reported use of mental health apps. Perceived stress, perceived need to seek help, past use of professional services, and social influence were positively associated with mental health app use. Furthermore, the effect of stress was mediated by a perceived need to seek help. Privacy concerns were negatively associated with mental health app use. Stigma, age, and gender did not have a statistically significant effect. ConclusionsThese findings can inform development of new digital interventions and appropriate outreach strategies to engage community college students in using mental health apps

Implementation strategies for digital mental health interventions in health care settings.

U.S. health care systems are tasked with alleviating the burden of mental health, but are frequently underprepared and lack workforce and resource capacity to deliver services to all in need. Digital mental health interventions (DMHIs) can increase access to evidence-based mental health care. However, DMHIs commonly do not fit into the day-to-day activities of the people who engage with them, resulting in a research-to-practice gap for DMHI implementation. For health care settings, differences between digital and traditional mental health services make alignment and integration challenging. Specialized attention is needed to improve the implementation of DMHIs in health care settings so that these services yield high uptake, engagement, and sustainment. The purpose of this article is to enhance efforts to integrate DMHIs in health care settings by proposing implementation strategies, selected and operationalized based on the discrete strategies established in the Expert Recommendations for Implementing Change project, that align to DMHI-specific barriers in these settings. Guidance is offered in how these strategies can be applied to DMHI implementation across four phases commonly distinguished in implementation science using the Exploration, Preparation, Implementation, Sustainment Framework. Next steps to advance research in this area and improve the research-to-practice gap for implementing DMHIs are recommended. Applying implementation strategies to DMHI implementation will enable psychologists to systematically evaluate this process, which can yield an enhanced understanding of the factors that facilitate implementation success and improve the translation of DMHIs from controlled trials to real-world settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved)

Curating the Digital Mental Health Landscape With a Guide to Behavioral Health Apps: A County-Driven Resource.

With more than 10,000 mental health apps available, consumers and clinicians who want to adopt such tools can be overwhelmed by the multitude of options and lack of clear evaluative standards. Despite the increasing prevalence of curated lists, or app guides, challenges remain. Organizations providing mental health services to consumers have an opportunity to address these challenges by producing guides that meet relevant standards of quality and are tailored to local needs. This column summarizes an example of the collaborative process of app guide development in a publicly funded mental health service context and highlights opportunities and barriers identified through the process