Outputs (285)

Seasonal trends in antidepressant prescribing, depression, anxiety and self-harm in adolescents and young adults: an open cohort study using English primary care data (2023)
Journal Article
Jack, R. H., Joseph, R. M., Hollis, C., Hippisley-Cox, J., Butler, D., Waldram, D., & Coupland, C. (2023). Seasonal trends in antidepressant prescribing, depression, anxiety and self-harm in adolescents and young adults: an open cohort study using English primary care data. BMJ Mental Health, 26(1), Article e300855. https://doi.org/10.1136/bmjment-2023-300855

Background There is an increasing demand for mental health services for young people, which may vary across the year. Objective To determine whether there are seasonal patterns in primary care antidepressant prescribing and mental health issues in... Read More about Seasonal trends in antidepressant prescribing, depression, anxiety and self-harm in adolescents and young adults: an open cohort study using English primary care data.

Use of healthcare services before diagnosis of attention-deficit/hyperactivity disorder: a population-based matched case-control study (2023)
Journal Article
Prasad, V., Rezel-Potts, E., White, P., Downs, J., Boddy, N., Sayal, K., & Sonuga-Barke, E. (2024). Use of healthcare services before diagnosis of attention-deficit/hyperactivity disorder: a population-based matched case-control study. Archives of Disease in Childhood, 109, Article 46-51. https://doi.org/10.1136/archdischild-2023-325637

Objective: To compare use of healthcare services and reasons for attendance by children and young people (CYP) with attention-deficit/hyperactivity disorder (ADHD) versus non-ADHD controls. Design: Population-based matched case-control study. Setting... Read More about Use of healthcare services before diagnosis of attention-deficit/hyperactivity disorder: a population-based matched case-control study.

A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis. (2023)
Journal Article
Chen, K., Weng, Y., Hosseini, A. A., Dening, T., Zuo, G., & Zhang, Y. (2024). A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis. Neural Networks, 169, 442-452. https://doi.org/10.1016/j.neunet.2023.10.040

Alzheimer’s Disease (AD) is a neurodegenerative disease that commonly occurs in older people. It is characterized by both cognitive and functional impairment. However, as AD has an unclear pathological cause, it can be hard to diagnose with confidenc... Read More about A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis..

Association between relative age at school and persistence of ADHD in prospective studies: an individual participant data meta-analysis (2023)
Journal Article
Gosling, C. J., & Sayal, K. (2023). Association between relative age at school and persistence of ADHD in prospective studies: an individual participant data meta-analysis. Lancet Psychiatry, 10(12), 922-933. https://doi.org/10.1016/S2215-0366%2823%2900272-9

Background: The youngest children in a school class are more likely than the oldest to be diagnosed with ADHD, but this relative age effect is less frequent in older than in younger school-grade children. However, no study has explored the associatio... Read More about Association between relative age at school and persistence of ADHD in prospective studies: an individual participant data meta-analysis.

Digital Training Program for Line Managers (Managing Minds at Work): Protocol for A Feasibility Pilot Cluster Randomised Controlled Trial (2023)
Journal Article
Thomson, L., Hassard, J., Frost, A., Bartle, C., Yarker, J., Munir, F., …Blake, H. (2023). Digital Training Program for Line Managers (Managing Minds at Work): Protocol for A Feasibility Pilot Cluster Randomised Controlled Trial. JMIR Research Protocols, 12, Article e48758. https://doi.org/10.2196/48758

Background: Mental health problems affect 1 in 6 workers annually and are one of the leading causes of sickness absence, with stress, anxiety, and depression being responsible for half of all working days lost in the United Kingdom. Primary intervent... Read More about Digital Training Program for Line Managers (Managing Minds at Work): Protocol for A Feasibility Pilot Cluster Randomised Controlled Trial.

Haemostatic therapies for stroke due to acute, spontaneous intracerebral haemorrhage (2023)
Journal Article
Eilertsen, H., Menon, C. S., Law, Z. K., Chen, C., Bath, P. M., Steiner, T., …Al-Shahi Salman, R. (2023). Haemostatic therapies for stroke due to acute, spontaneous intracerebral haemorrhage. Cochrane Database of Systematic Reviews, 2023(10), Article CD005951.pub5. https://doi.org/10.1002/14651858.CD005951.pub5

Background Outcome after acute spontaneous (non‐traumatic) intracerebral haemorrhage (ICH) is influenced by haematoma volume. ICH expansion occurs in about 20% of people with acute ICH. Early haemostatic therapy might improve outcome by limiting ICH... Read More about Haemostatic therapies for stroke due to acute, spontaneous intracerebral haemorrhage.

Specialist treatment for persistent depression in secondary care: Sustained effects from a multicentre UK study at 24 and 36 months (2023)
Journal Article
Nixon, N., Guo, B., Kaylor-Hughes, C., Simpson, S., Garland, A., Dalgleish, T., & Morriss, R. (2024). Specialist treatment for persistent depression in secondary care: Sustained effects from a multicentre UK study at 24 and 36 months. Journal of Affective Disorders, 345, 70-77. https://doi.org/10.1016/j.jad.2023.10.105

Background: Despite the known health costs of persistent depression, there is no established service framework for the treatment of this disorder and a lack of long-term outcome data to inform commissioning. To address this gap, we report the long-te... Read More about Specialist treatment for persistent depression in secondary care: Sustained effects from a multicentre UK study at 24 and 36 months.

Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in- Noise Task (2023)
Journal Article
Alfandari, D., Richter, M., Wendt, D., Fiedler, L., & Naylor, G. (2023). Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in- Noise Task. Trends in Hearing, Article 27. https://doi.org/10.1177/23312165231196520

Listening effort and fatigue are common experiences when conversing in noisy environments. Much research has investigated listening effort in relation to listening demand using the speech-in-noise paradigm. Recent conceptualizations of listening effo... Read More about Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in- Noise Task.

Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in-Noise Task (2023)
Journal Article
Alfandari, D., Richter, M., Wendt, D., Fiedler, L., & Naylor, G. (2023). Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in-Noise Task. Trends in Hearing, 27, Article 23312165231196520. https://doi.org/10.1177/23312165231196520

Listening effort and fatigue are common experiences when conversing in noisy environments. Much research has investigated listening effort in relation to listening demand using the speech-in-noise paradigm. Recent conceptualizations of listening effo... Read More about Previous Mental Load and Incentives Influence Anticipatory Arousal as Indexed by the Baseline Pupil Diameter in a Speech-in-Noise Task.

Optimizing implementation of eHealth for dementia: Lessons from developing an eHealth Implementation Readiness (EmpRess) checklist (2023)
Presentation / Conference
Christie, H. L., Atefi, G. L., Craven, M. P., Orrell, M., & de Vugt, M. E. (2023, October). Optimizing implementation of eHealth for dementia: Lessons from developing an eHealth Implementation Readiness (EmpRess) checklist. Poster presented at 33rd Alzheimer Europe Conference, Helsinki, Finland

Situation: eHealth interventions are a possible solution for rising dementia care costs and potential negative effects on carers Problem: Few evidence-based eHealth interventions are implemented in practice Solution : Adapt existing implementa... Read More about Optimizing implementation of eHealth for dementia: Lessons from developing an eHealth Implementation Readiness (EmpRess) checklist.