Evaluating Doppel’s impact on Anxiety and Focus amongst adults with ADHD

Attention Deficit Hyperactivity Disorder (ADHD) is the most commonly diagnosed psychiatric disorder in children. Amongst adults, it is often underdiagnosed and associated with comorbidities including anxiety. This study presents a trial evaluating the efficacy of Doppel, a wrist-worn wearable that provides vibrations linked to one’s heart rate to improve symptoms of anxiety and poor focus amongst young adults with ADHD. Young adults (aged 18–25) used either an active or comparator Doppel for 8 weeks, completing measures of anxiety and focus at baseline, 4 weeks, and 8 weeks. Participants in both groups experienced a reduction in anxiety and an increase in focus across the trial duration. No superiority for vibrations linked to one’s heart rate was found. Whilst the current study cannot determine a specific mechanism of action, the findings provide some promising initial evidence as to the potential for direct-to-consumer digital health products to be useful in symptom management amongst young adults with ADHD

Direct observation of the high magnetic field effect on the Jahn-Teller state in TbVO4

We report the first direct observation of the influence of high magnetic fields on the Jahn-Teller (JT) transition in TbVO4. Contrary to spectroscopic and magnetic methods, X-ray diffraction directly measures the JT distortion; the splitting between the (311)/(131) and (202)/(022) pairs of Bragg reflections is proportional to the order parameter. Our experimental results are compared to mean field calculations, taking into account all possible orientations of the grains relative to the applied field, and qualitative agreement is obtained.Comment: 11 pages, 4 figures, submitted to Phys. Rev. Let

A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments

DrDoctor is an artificial intelligence system that seeks to predict the probability of outpatient not attending their appointment (phase 1) predicting linked clinics (phase2a) and predicting out of sequence linked appointments (phase 2b). LSBU were commissioned by NHS England to evaluate the use of the DrDoctor system in two NHS trusts to see if it is accurate, safe, effective provides value and explore person centred aspects. Phase 1 of the evaluation examines the accuracy of the model in predicting those most likely not to attend outpatient appointments – Do Not Attend (DNA) probability. Report covers approach to evaluation detailed findings, conclusions and recommendations. Phase 1 work stream 3 examined How effective is the DrDoctor AI system? covering rationale, objectives, hypotheses, methods and results for this work stream. The Phase 1 technology appeared to be accurate in terms of DNA prediction and was safe and mostly acceptable to patients. Phase 2a of the evaluation examines the process adopted in identifying clinics with the same specialisms so that patients can be offered greater appointment choice. It is recognized that some trusts have built digital hierarchies that show this but other trusts have not and it is for the latter category that this phase provides potential benefit. Report covers approach to evaluation detailed findings, conclusions and recommendations. The Phase 2a report was not able to evaluate outcomes (and therefore overall accuracy) due to the delays in the DrDoctor system development. A key recommendation is that a clinical review of accuracy of the predicted linked clinics is undertaken. Phase 2b evaluated the process adopted for identifying out of sequence linked appointments. For example a diagnostic test appointment occurring after the clinician review. Report covers approach to evaluation detailed findings, conclusions and recommendations. This report considered the process adopted for phase2b. Due to delays in DrDoctor Phase 2b development the report excluded consideration of outcomes. A key recommendation was the clinical review of its predicted linked appointments out of sequence for their accuracy and also consideration of missed out of sequence linked appointments

Mobile Phone Text Messages to Support People to Stop Smoking by Switching to Vaping: Codevelopment, Coproduction, and Initial Testing Study.

SMS text messages are affordable, scalable, and effective smoking cessation interventions. However, there is little research on SMS text message interventions specifically designed to support people who smoke to quit by switching to vaping. Over 3 phases, with vapers and smokers, we codeveloped and coproduced a mobile phone SMS text message program. The coproduction paradigm allowed us to collaborate with researchers and the community to develop a more relevant, acceptable, and equitable SMS text message program. In phase 1, we engaged people who vape via Twitter and received 167 responses to our request to write SMS text messages for people who wish to quit smoking by switching to vaping. We screened, adjusted, refined, and themed the messages, resulting in a set of 95 that were mapped against the Capability, Opportunity, and Motivation-Behavior constructs. In phase 2, we evaluated the 95 messages from phase 1 via a web survey where participants (66/202, 32.7% woman) rated up to 20 messages on 7-point Likert scales on 9 constructs: being understandable, clear, believable, helpful, interesting, inoffensive, positive, and enthusiastic and how happy they would be to receive the messages. In phase 3, we implemented the final set of SMS text messages as part of a larger randomized optimization trial, in which 603 participants (mean age 38.33, SD 12.88 years; n=369, 61.2% woman) received SMS text message support and then rated their usefulness and frequency and provided free-text comments at the 12-week follow-up. For phase 2, means and SDs were calculated for each message across the 9 constructs. Those with means below the neutral anchor of 4 or with unfavorable comments were discussed with vapers and further refined or removed. This resulted in a final set of 78 that were mapped against early, mid-, or late stages of quitting to create an order for the messages. For phase 3, a total of 38.5% (232/603) of the participants provided ratings at the 12-week follow-up. In total, 69.8% (162/232) reported that the SMS text messages had been useful, and a significant association between quit rates and usefulness ratings was found (χ =9.6; P=.002). A content analysis of free-text comments revealed that the 2 most common positive themes were helpful (13/47, 28%) and encouraging (6/47, 13%) and the 2 most common negative themes were too frequent (9/47, 19%) and annoying (4/47, 9%). In this paper, we describe the initial coproduction and codevelopment of a set of SMS text messages to help smokers stop smoking by transitioning to vaping. We encourage researchers to use, further develop, and evaluate the set of SMS text messages and adapt it to target populations and relevant contexts. [Abstract copyright: ©Vassilis Sideropoulos, Eleni Vangeli, Felix Naughton, Sharon Cox, Daniel Frings, Caitlin Notley, Jamie Brown, Catherine Kimber, Lynne Dawkins. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.09.2023.

Text messages to support e-cigarette use for smoking cessation: a tool for researchers

E-cigarettes are now the most popular quit aid chosen by smokers in England. Mobile phone text messages have been shown to be a useful tool in facilitating smoking cessation attempts by providing behaviour change support. To date, no published examples of text messages exist specifically aimed at smokers attempting to quit with e-cigarettes (vaping). As part of a parent study, we led an online call to vapers asking what advice and information they would give, in the form of a text message, to smokers wishing to quit smoking by vaping. We received 102 initial suggestions. Alongside behaviour change and smoking cessation experts, we checked the messages for readability and scientific accuracy, removed inappropriate messages, refined and edited others, and added additional messages. Messages were also grouped by theme and relevance to the stage of quitting. 95 messages were taken forward for further evaluation by 376 smokers, ex-smokers and vapers. Here we present the full set of 95 messages along with a final set of 78 that were selected and ordered for our parent study by two members of the research team along with four vapers. We encourage engagement with this resource and further validation from researchers interested in smoking cessation with e-cigarettes

Longitudinal grey and white matter changes in frontotemporal dementia and Alzheimer's disease

Behavioural variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) dementia are characterised by progressive brain atrophy. Longitudinal MRI volumetry may help to characterise ongoing structural degeneration and support the differential diagnosis of dementia subtypes. Automated, observer-independent atlas-based MRI volumetry was applied to analyse 102 MRI data sets from 15 bvFTD, 14 AD, and 10 healthy elderly control participants with consecutive scans over at least 12 months. Anatomically defined targets were chosen a priori as brain structures of interest. Groups were compared regarding volumes at clinic presentation and annual change rates. Baseline volumes, especially of grey matter compartments, were significantly reduced in bvFTD and AD patients. Grey matter volumes of the caudate and the gyrus rectus were significantly smaller in bvFTD than AD. The bvFTD group could be separated from AD on the basis of caudate volume with high accuracy (79% cases correct). Annual volume decline was markedly larger in bvFTD and AD than controls, predominantly in white matter of temporal structures. Decline in grey matter volume of the lateral orbitofrontal gyrus separated bvFTD from AD and controls. Automated longitudinal MRI volumetry discriminates bvFTD from AD. In particular, greater reduction of orbitofrontal grey matter and temporal white matter structures after 12 months is indicative of bvFTD

Comparative interactomics with Funcoup 2.0

FunCoup (http://FunCoup.sbc.su.se) is a database that maintains and visualizes global gene/protein networks of functional coupling that have been constructed by Bayesian integration of diverse high-throughput data. FunCoup achieves high coverage by orthology-based integration of data sources from different model organisms and from different platforms. We here present release 2.0 in which the data sources have been updated and the methodology has been refined. It contains a new data type Genetic Interaction, and three new species: chicken, dog and zebra fish. As FunCoup extensively transfers functional coupling information between species, the new input datasets have considerably improved both coverage and quality of the networks. The number of high-confidence network links has increased dramatically. For instance, the human network has more than eight times as many links above confidence 0.5 as the previous release. FunCoup provides facilities for analysing the conservation of subnetworks in multiple species. We here explain how to do comparative interactomics on the FunCoup website

The social psychology of social prescribing: a toolkit

This toolkit has been developed as a resource for organisations that are involved, or who are considering becoming involved in, Social Prescribing. This toolkit has been designed to be used in a variety of ways. In each section, we provide an overview of theory and evidence relating to a topic of importance to Social Prescribing. These sections are also related to a specific tool that can be used by those developing, commissioning or running Social Prescribing services. Alternatively, you can access the tools straight away, by going to the document Appendices. The tools are a mixture of signposting to additional resources, and/or lessons learned, and best practice guidance

Employment and insurance outcomes and factors associated with employment among long-term thyroid cancer survivors:a population-based study from the PROFILES registry

Contains fulltext : 172452.pdf (Publisher’s version ) (Open Access)PURPOSE: To obtain insight into employment and insurance outcomes of thyroid cancer survivors and to examine the association between not having employment and other factors including quality of life. METHODS: In this cross-sectional population-based study, long-term thyroid cancer survivors from the Netherlands participated. Clinical data were collected from the cancer registry. Information on employment, insurance, socio-demographic characteristics, long-term side effects, and quality of life was collected with questionnaires. RESULTS: Of the 223 cancer survivors (response rate 87 %), 71 % were employed. Of the cancer survivors who tried to obtain insurance, 6 % reported problems with obtaining health care insurance, 62 % with life insurance, and 16 % with a mortgage. In a multivariate logistic regression analysis, higher age (OR 1.07, CI 1.02-1.11), higher level of fatigue (OR 1.07, CI 1.01-1.14), and lower educational level (OR 3.22, CI 1.46-7.09) were associated with not having employment. Employment was associated with higher quality of life. CONCLUSIONS: Many thyroid cancer survivors face problems when obtaining a life insurance, and older, fatigued, and lower educated thyroid cancer survivors may be at risk for not having employment

High frequency magnetic oscillations of the organic metal θ\theta-(ET)4_4ZnBr4_4(C6_6H4_4Cl2_2) in pulsed magnetic field of up to 81 T

De Haas-van Alphen oscillations of the organic metal $\theta$-(ET)$_4$ZnBr$_4$(C$_6$H$_4$Cl$_2$) are studied in pulsed magnetic fields up to 81 T. The long decay time of the pulse allows determining reliable field-dependent amplitudes of Fourier components with frequencies up to several kiloteslas. The Fourier spectrum is in agreement with the model of a linear chain of coupled orbits. In this model, all the observed frequencies are linear combinations of the frequency linked to the basic orbit $\alpha$ and to the magnetic-breakdown orbit $\beta$.Comment: 6 pages, 4 figure