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Novel subgroups of adult-onset diabetes and their association with outcomes : A data-driven cluster analysis of six variables

Background: Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but type 2 diabetes in particular is highly heterogeneous. A refined classification could provide a powerful tool to individualise treatment regimens and identify individuals with increased risk of complications at diagnosis. Methods: We did data-driven cluster analysis (k-means and hierarchical clusterin

The caregiving phenomenon and caregiver participation in dementia

Background: Dementia presents barriers to the collaboration between individuals and the healthcare system. Caregivers perform multiple functions helping patients with basic and instrumental activities but also communicating and mediating the dyads’ needs within the broader social group. Interventions focusing on caregivers show that caregiver burden can be reduced, improving patient outcomes in a

The use of a Peer Assisted Study Scheme to help the transition from Secondary school to Higher Education

This presentation will give an overview of a peer learning model called Supplemental Instruction - Peer Assisted Study Scheme (SI-PASS). SI-PASS was invented at the University of Missouri in Kansas City, USA in the early1970s and was then directed to Universities and for the university students. In this presentation, the focus and discussion will be on how SI-PASS can be implemented in secondary s

Resilient water innovation for smart economy with membrane technology

The European project ‘REsilient WAter Innovation for Smart Economy’ (REWAISE) aims to establish a novel ‘smart water ecosystem’ by integrating an advanced digital infrastructure for decentralized water services and decision-making, engaging all stakeholders to highlight the actual value of water. The approach will reduce the consumption of freshwater and energy while also recovering valuable nutri

Debt and mental health : new insights about the relationship and the importance of the measure of mental health

BACKGROUND: Empirical research suggests that household debt and payment difficulties are detrimental to mental health. Despite well-known measurement problems that may contaminate analyses using subjective self-reported health measures, our knowledge is very limited concerning the effect of payment difficulties on 'objective' measures of mental health. Moreover, few studies use longitudinal data t