🎉 From MSc dissertation to published paper! Congratulations to Iman on publishing research exploring how students use habit-tracking apps for behaviour change. Findings highlight the importance of personalisation, reminders and engagement in digital health tools. link.springer.com/article/10.1...

A Qualitative Study of Student Perspectives on Habit-Tracking Apps: Digital Interventions to Facilitate Habit Development - Journal of Technology in Behavioral Science

Digital self-monitoring tools are increasingly used as health interventions to support goal achievement. However, many mobile health (mHealth) applications prioritise quantitative metrics, overlooking...

link.springer.com

📢 Research spotlight: At #SAA2026, our PhD student presented findings showing that real-time data collection via smartphones is feasible for people with chronic pain. An important step towards responsive, personalised mHealth interventions that adapt to daily needs.✨

Great to contribute to UKSBM symposium on collaborative behavioural science. We shared work on co‑developing public engagement workshops on loneliness with ethnically diverse older adults-showing why trust, equity & partnership really matter. #UKSBM #BehaviouralScience #CoProduction #HealthEquity

Great to see our PI Dr Matcham involved in shaping the programme for the 40th ECNP Congress (Barcelona, Sept 2027). Encouraging to see such strong commitment to diversity and inclusion in planning. Already shaping up to be a fantastic meeting. #ECNP2027 #Neuroscience

New paper from the team 👇 humanfactors.jmir.org/2026//e88263/ A novel user-centred framework for designing interfaces for digital tools to monitor loneliness in older adults. Key priorities? Trust & safety, ease of use and accessibility: key for real-world adoption. #DigitalHealth #HealthyAgeing

A User-Centered Interface Design Framework for the DELONELINESS System in Older Adults: Design Indicator Development and Prioritization

Background: Loneliness among older adults has become a major public health concern associated with cognitive decline, depression, and increased health care use. The advancement of digital health techn...

humanfactors.jmir.org

Great to see this paper out 👇 advanced.onlinelibrary.wiley.com/doi/10.1002/... Exploring how smart sensors can help detect signals linked to loneliness & social isolation. A really interesting step toward more real-world, passive monitoring in mental health. #DigitalHealth #Wearables #Loneliness

Smart Textile Based Wearable Sensors for Monitoring Isolation‐Related Affective States: A Step Towards Loneliness Prediction

Loneliness is a significant psychosocial factor that negatively impacting the health and quality of life of individuals, with social isolation recognized as a major risk factor. This paper presents a...

advanced.onlinelibrary.wiley.com

New paper out on stress in caregivers. We heard about rapidly changing needs, loneliness, family conflict, financial strain, guilt. What helps? Respite, humour, peer support & trusted professionals. Caregiver stress is dynamic, complex & still overlooked. 🔗 onlinelibrary.wiley.com/doi/full/10....

Understanding Caregiver Stress to Inform Community‐Based Stress Monitoring and Supportive Interventions: A Qualitative, Descriptive Study

To inform community-based stress monitoring tools and supportive interventions, this study aimed to understand caregiver stress as experienced by a diverse group of informal caregivers guided by the ....

onlinelibrary.wiley.com

🚨 THRIVE Lab PI Faith Matcham speaking at upcoming European College of Neuropsychopharmacology (ECNP) webinaer: Predicting Mood Using Wearables and Smartphones in Depression. 📅 Register here: lnkd.in/ebdViQiY