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Alzheimer's Research & Therapy Jun 2024Aim of this study was to detect predictors of better adherence to the AgeWell.de-intervention, a two-year randomized multi-domain lifestyle intervention against... (Randomized Controlled Trial)
Randomized Controlled Trial
BACKGROUND
Aim of this study was to detect predictors of better adherence to the AgeWell.de-intervention, a two-year randomized multi-domain lifestyle intervention against cognitive decline.
METHODS
Data of 317 intervention group-participants comprising a risk group for dementia (Cardiovascular Risk Factors, Ageing and Dementia (CAIDE) score of ≥ 9; mean age 68.9 years, 49.5% women) from the AgeWell.de intervention study were analysed. Regression models with four blocks of predictors (sociodemographic, cognitive and psychosocial, lifestyle factors and chronic conditions) were run on adherence to the components of nutrition, enhancement of social and physical activity and cognitive training. Adherence to each component was operationalised by assessing the degree of goal achievement per component at up to seven time points during the intervention period, measured using a 5-point Likert scale (mean score of goal achievement).
RESULTS
Increasing age was negatively associated with adherence, while higher education positively predicted adherence. Participants with better mental state (Montreal Cognitive Assessment (MoCA)-score > 25) at baseline and higher self-efficacy adhered better. Diabetes and cardiovascular conditions were not associated with adherence, whereas smoking negatively affected adherence. Highest education and quitting smoking in the past were the only predictors associated with all four intervention components.
CONCLUSION
Results identified predictors for better and worse adherence. Particularly self-efficacy seems to be of considerable influence on adherence. This should be considered when designing future intervention trials.
TRIAL REGISTRATION
German Clinical Trials Register (ref. number: DRKS00013555).
Topics: Humans; Female; Male; Aged; Cognitive Dysfunction; Self Efficacy; Life Style; Patient Compliance; Middle Aged; Exercise; Dementia; Aged, 80 and over
PubMed: 38909256
DOI: 10.1186/s13195-024-01499-4 -
Scientific Reports Jun 2024Simulation is an effective training method for neonatal resuscitation (NR). However, the limitations brought about by the COVID-19 pandemic, and other resource...
Simulation is an effective training method for neonatal resuscitation (NR). However, the limitations brought about by the COVID-19 pandemic, and other resource constraints, have necessitated exploring alternatives. Virtual reality (VR), particularly 360-degree VR videos, have gained attraction in medical training due to their immersive qualities. The primary objectives of the study were to produce a high quality 360-degree virtual reality (VR) video capturing NR simulation and to determine if it could be an acceptable adjunct to teach NR. The secondary objective was to determine which aspects of NR could benefit from the incorporation of such a video in training. This was an exploratory development study. The first part consisted of producing the video using a GoPro action camera, Adobe Premiere Pro, and Unity Editor. In the second part participants were recruited, based on level of experience, to watch the video and answer questionnaires to determine acceptability (user experience and cognitive load) and aspects of NR which could benefit from the video. The video was successfully developed. Forty-six participants showed a strong general appreciation. User experience revealed high means (> 6) in the positive subscales and low means (< 4) for immersion side effect, with no difference between groups. Cognitive load was higher than anticipated. Participants indicated that this video could be effective for teaching crisis resource management principles, human and environment interactions, and procedural skills. The 360-degree VR video could be a potential new simulation adjunct for NR. Future studies are needed to evaluate learning outcomes of such videos.
Topics: Humans; Virtual Reality; Resuscitation; COVID-19; Infant, Newborn; Video Recording; Female; Male; Adult; SARS-CoV-2; Pandemics; Simulation Training
PubMed: 38909130
DOI: 10.1038/s41598-024-65299-4 -
BMC Psychiatry Jun 2024The prevalence of hazardous substance use is highest in the age between 18 and 25, but few young adults enter treatment. Community Reinforcement and Family Training... (Randomized Controlled Trial)
Randomized Controlled Trial
'Before, we ended up in conflicts, now we can provide support'-Experiences of Community Reinforcement and Family Training (CRAFT) for parents of young adults with hazardous substance use.
BACKGROUND
The prevalence of hazardous substance use is highest in the age between 18 and 25, but few young adults enter treatment. Community Reinforcement and Family Training (CRAFT) is a support program for concerned significant others (CSOs) of individuals with diverse substance use disorders and is proven efficacious in promoting treatment entry. The aim of the current study was to investigate the experiences of CRAFT among parents of substance using young adults.
METHODS
We used a qualitative design conducting semi-structured interviews with 10 parents of young adults (18-24 years) with hazardous substance use. The participants were recruited from a randomized controlled trial of the CRAFT program. The transcribed interviews were analyzed using thematic analysis.
RESULTS
We divided the results into three overall domains-Reasons for entering the CRAFT program, Strengths of the CRAFT program and Limitations of the CRAFT program - with three to four themes under each domain. The parents appreciated the accessible support at a time when they needed it due to feelings of shock and powerlessness, and they described communication strategies together with positive reinforcement as the two most helpful CRAFT-sessions. Regarding limitations of CRAFT in the current population, the parents wanted more accessible support for the young adults when they were ready to enter treatment, and described difficulties to practice CRAFT-components due to changing life-circumstances and fear of aggravated health for their young adults.
CONCLUSION
The results provide arguments for the health care system to implement support programs to parents of young adults with hazardous substance use. The results show that CRAFT is suitable for the current population, but with some possible additions due to changing circumstances that are common in the young adult developmental phase emerging adulthood.
TRIAL REGISTRATION
The trial was pre-registered at isrctn.com, reference number ISRCTN12212515 date: November 7, 2018.
Topics: Humans; Substance-Related Disorders; Male; Female; Young Adult; Adolescent; Parents; Adult; Qualitative Research; Social Support; Reinforcement, Psychology; Family Therapy
PubMed: 38907237
DOI: 10.1186/s12888-024-05913-x -
Scientific Reports Jun 2024To understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance... (Comparative Study)
Comparative Study
To understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine learning (ML) model and large language model (LLM). A domain-specific noisy textual dataset of 204 injury narratives had to be classified into 6 cause-of-injury codes. The narratives varied in terms of complexity and ease of categorization based on the distinctive nature of cause-of-injury code. The user study involved 51 participants whose eye-tracking data was recorded while they performed the text classification task. While the ML model was trained on 120,000 pre-labelled injury narratives, LLM and humans did not receive any specialized training. The explainability of different approaches was compared based on the top words they used for making classification decision. These words were identified using eye-tracking for humans, explainable AI approach LIME for ML model, and prompts for LLM. The classification performance of ML model was observed to be relatively better than zero-shot LLM and non-expert humans, overall, and particularly for narratives with high complexity and difficult categorization. The top-3 predictive words used by ML and LLM for classification agreed with humans to a greater extent as compared to later predictive words.
Topics: Humans; Machine Learning; Eye-Tracking Technology; Language; Female; Male; Artificial Intelligence; Adult; Eye Movements
PubMed: 38906943
DOI: 10.1038/s41598-024-65080-7 -
Neurobiology of Learning and Memory Jun 2024The ability to learning and remember, which is fundamental for behavioral adaptation, is susceptible to stressful experiences during the early postnatal period, such as...
The ability to learning and remember, which is fundamental for behavioral adaptation, is susceptible to stressful experiences during the early postnatal period, such as abnormal levels of maternal care. The exact mechanisms underlying these effects still remain elusive. This study examined in male mice whether early life stress (ELS) alters memory and brain activation patterns, by studying the expression of the immediate early genes (IEGs) c-Fos and Arc in the dentate gyrus (DG) and basolateral amygdala (BLA) after training and memory retrieval in a fear conditioning task. Furthermore, we examined the potential of RU38486 (RU486), a glucocorticoid receptor antagonist, to mitigate ELS-induced memory deficits by blocking stress signalling during adolescence. Arc::dVenus reporter mice, which allow investigating experience-dependent expression of the immediate early gene Arc also at more remote time points, were exposed to ELS by housing dams and offspring with limited bedding and nesting material (LBN) between postnatal days (PND) 2-9 and trained in a fear conditioning task at adult age. We found that ELS reduced both fear acquisition and contextual memory retrieval. RU486 did not prevent these effects. ELS reduced the number of Arc::dVenus cells in DG and BLA after training, while the number of c-Fos cells were left unaffected. After memory retrieval, ELS decreased c-Fos cells in the ventral DG and BLA. ELS also disrupted the colocalization of c-Fos cells with (training activated) Arc::dVenus cells in the ventral DG, possibly indicating impaired engram allocation in the ventral DG after memory retrieval. Altered correlated activity during training and changes in IEG expression over time were also found in ELS animals. In conclusion, this study shows that ELS alters neuronal activation patterns after fear acquisition and retrieval, which may provide mechanistic insights into enduring impact of early-life stress on the processing of fear memories, possibly via changes in cell (co-) activation and engram cell allocation.
PubMed: 38906243
DOI: 10.1016/j.nlm.2024.107952 -
Neural Networks : the Official Journal... May 2024Advancements in Neural Networks have led to larger models, challenging implementation on embedded devices with memory, battery, and computational constraints....
Advancements in Neural Networks have led to larger models, challenging implementation on embedded devices with memory, battery, and computational constraints. Consequently, network compression has flourished, offering solutions to reduce operations and parameters. However, many methods rely on heuristics, often requiring re-training for accuracy. Model reduction techniques extend beyond Neural Networks, relevant in Verification and Performance Evaluation fields. This paper bridges widely-used reduction strategies with formal concepts like lumpability, designed for analyzing Markov Chains. We propose a pruning approach based on lumpability, preserving exact behavioral outcomes without data dependence or fine-tuning. Relaxing strict quotienting method definitions enables a formal understanding of common reduction techniques.
PubMed: 38906056
DOI: 10.1016/j.neunet.2024.106411 -
Acta Psychologica Jun 2024Note-taking for consecutive interpreting (CI) is a special type of note-taking in that selective notes are taken in a highly multi-tasking condition under time pressure...
Note-taking for consecutive interpreting (CI) is a special type of note-taking in that selective notes are taken in a highly multi-tasking condition under time pressure during a CI speech segment but are used to enable a complete recall of the source speech immediately. Given the specialty of interpreters' note-taking, it is still unclear in what ways note-taking affects interpreters' memory performance. Moreover, the effect of note-taking is theoretically assumed to depend on interpreting expertise, which has not been substantiated by empirical research. This study addresses these questions by investigating the effect of note-taking on the accuracy and fluency of interpreters' memory of the source text at different training stages. An oral recall experiment was administered to student interpreters at three critical note-taking training stages: the initial stage (with one-month training in note-taking), after the critical development stage (with six-month training in note-taking), and the advanced stage (with two-year training in note-taking), with a sample size of 53, 53 and 35 at each stage respectively. Participants listened to and immediately recalled speech segments consecutively in two note-taking conditions: with and without note-taking. Recall accuracy was measured by completeness of information recalled, and recall fluency was measured by oral fluency during recall. Results showed that note-taking significantly enhanced both accuracy and fluency of interpreters' recall of the source text at all the three stages, revealing a facilitative effect of note-taking on source text memory. The size of the note-taking effect increased as interpreting training experience accumulated, indicating that interpreting training enhanced the facilitative role of note-taking. However, the developmental trajectories of the note-taking effect on recall accuracy and fluency differed. As interpreting training proceeded, the note-taking effect on recall fluency was first improved (from Stage 1 to Stage 2), and later was the note-taking effect on recall accuracy (from Stage 1 to Stage 3). The findings shed light on the cognitive mechanisms of how note-taking functions for consecutive interpreters. A potential practical implication for interpreter training is that a step-by-step note-taking training approach may be beneficial.
PubMed: 38905951
DOI: 10.1016/j.actpsy.2024.104359 -
PloS One 2024The battle against viral drug resistance highlights the need for innovative approaches to replace time-consuming and costly traditional methods. Deep generative models...
The battle against viral drug resistance highlights the need for innovative approaches to replace time-consuming and costly traditional methods. Deep generative models offer automation potential, especially in the fight against Human immunodeficiency virus (HIV), as they can synthesize diverse molecules effectively. In this paper, an application of an LSTM-based deep generative model named "LSTM-ProGen" is proposed to be tailored explicitly for the de novo design of drug candidate molecules that interact with a specific target protein (HIV-1 protease). LSTM-ProGen distinguishes itself by employing a long-short-term memory (LSTM) architecture, to generate novel molecules target specificity against the HIV-1 protease. Following a thorough training process involves fine-tuning LSTM-ProGen on a diverse range of compounds sourced from the ChEMBL database. The model was optimized to meet specific requirements, with multiple iterations to enhance its predictive capabilities and ensure it generates molecules that exhibit favorable target interactions. The training process encompasses an array of performance evaluation metrics, such as drug-likeness properties. Our evaluation includes extensive silico analysis using molecular docking and PCA-based visualization to explore the chemical space that the new molecules cover compared to those in the training set. These evaluations reveal that a subset of 12 de novo molecules generated by LSTM-ProGen exhibit a striking ability to interact with the target protein, rivaling or even surpassing the efficacy of native ligands. Extended versions with further refinement of LSTM-ProGen hold promise as versatile tools for designing efficacious and customized drug candidates tailored to specific targets, thus accelerating drug development and facilitating the discovery of new therapies for various diseases.
Topics: HIV Protease Inhibitors; Drug Design; Humans; HIV Protease; HIV-1; Acquired Immunodeficiency Syndrome; Molecular Docking Simulation
PubMed: 38905197
DOI: 10.1371/journal.pone.0303597 -
STAR Protocols Jun 2024Here we present an open-source behavioral platform and software solution for studying fine motor skills in mice performing reach-to-grasp task. We describe steps for...
Here we present an open-source behavioral platform and software solution for studying fine motor skills in mice performing reach-to-grasp task. We describe steps for assembling the box, training mice to perform the task, and processing the video with the custom software pipeline to analyze forepaw kinematics. The behavioral platform uses readily available and 3D-printed components and was designed to be affordable and universally reproducible. We provide the schematics, 3D models, code, and assembly instructions in the open GitHub repository.
PubMed: 38905103
DOI: 10.1016/j.xpro.2024.103140 -
JMIR Human Factors Jun 2024Strokes pose a substantial health burden, impacting 1 in 6 people globally. One-tenth of patients will endure a second, often more severe, stroke within a year....
BACKGROUND
Strokes pose a substantial health burden, impacting 1 in 6 people globally. One-tenth of patients will endure a second, often more severe, stroke within a year. Alarmingly, a younger demographic is being affected due to recent lifestyle changes. As fine motor and cognitive issues arise, patient disability as well as the strain on caregivers and health care resources is exacerbated. Contemporary occupational therapy assesses manual dexterity and cognitive functions through object manipulation and pen-and-paper recordings. However, these assessments are typically isolated, which makes it challenging for therapists to comprehensively evaluate specific patient conditions. Furthermore, the reliance on one-on-one training and assessment approaches on manual documentation is inefficient and prone to transcription errors.
OBJECTIVE
This study examines the feasibility of using an interactive electronic pegboard for stroke rehabilitation in clinical settings.
METHODS
A total of 10 patients with a history of stroke and 10 healthy older individuals were recruited. With a limit of 10 minutes, both groups of participants underwent a series of challenges involving tasks related to manual operation, shape recognition, and color discrimination. All participants underwent the Box and Block Test and the Purdue Pegboard Test to assess manual dexterity, as well as an array of cognitive assessments, including the Trail Making Test and the Mini-Mental Status Examination, which served as a basis to quantify participants' attention, executive functioning, and cognitive abilities.
RESULTS
The findings validate the potential application of an interactive electronic pegboard for stroke rehabilitation in clinical contexts. Significant statistical differences (P<.01) were observed across all assessed variables, including age, Box and Block Test results, Purdue Pegboard Test outcomes, Trail Making Test-A scores, and Mini-Mental Status Examination performance, between patients with a history of stroke and their healthy older counterparts. Functional and task testing, along with questionnaire interviews, revealed that patients with a history of stroke demonstrated prolonged completion times and slightly inferior performance. Nonetheless, most patients perceived the prototype as user-friendly and engaging. Thus, in the context of patient rehabilitation interventions or the evaluation of patient cognition, physical functioning, or manual dexterity assessments, the developed pegboard could potentially serve as a valuable tool for hand function, attention, and cognitive rehabilitation, thereby mitigating the burden on health care professionals.
CONCLUSIONS
Health care professionals can use digital electronic pegboards not only as a precise one-on-one training tool but also as a flexible system that can be configured for online or offline, single-player or multiplayer use. Through data analysis, a more informed examination of patients' cognitive and functional issues can be conducted. Importantly, patient records will be fully retained throughout practices, exercises, or tests, and by leveraging the characteristics of big data, patients can receive the most accurate rehabilitation prescriptions, thereby assisting them in obtaining optimal care.
Topics: Humans; Male; Female; Aged; Middle Aged; Stroke Rehabilitation; Cognition; Motor Skills; User-Computer Interface; Occupational Therapy; Feasibility Studies
PubMed: 38904991
DOI: 10.2196/56357