AGEING NETWORK

"Frailty, disability, depression and cognitive impairment in ageing; untangling complex relationships in the older population"

Coordinatore	THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN    more  Organization address address: College Green - city: DUBLIN postcode: 2 contact info Titolo: Ms. Nome: Deirdre Cognome: Savage Email: send email Telefono: +353 1 8961942
Nazionalità Coordinatore	Ireland [IE]
Totale costo	50˙000 €
EC contributo	50˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-CIG
Funding Scheme	MC-CIG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-03-01   -   2015-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN  Organization address address: College Green - city: DUBLIN postcode: 2 contact info Titolo: Ms. Nome: Deirdre Cognome: Savage Email: send email Telefono: +353 1 8961942	IE (DUBLIN)	coordinator	50˙000.00

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 Obiettivo del progetto (Objective)

'Jorge Luis Borges once wrote that “Everything touches everything”, and in doing so elegantly described both the beauty of graph theory and the multi-factorial experience of human ageing. Graph theory provides a framework for investigating the complex relationships in areas such as interpersonal relationships, electricity networks, and human cell structures. In ageing research, the relationships between the concepts of frailty, disability, depression and cognitive impairment remain poorly understood, and the methods used to understand these relationships are limited by unrealistic assumptions. For example, to measure frailty a number of indicators will be used to create an overall ‘score’, this assumes that what is important is a person’s score, and ignores direct relationships between the indicators (i.e., weight loss is not directly related to exhaustion). Preliminary work suggests this is an assumption that does not reflect the reality of the ageing process. To overcome this limitation, graph theory can be used to develop a more complete representation of relationships between concepts of ageing while still enabling us to identify how specific indicators group together to form constructs important in human ageing such as: frailty, disability, depression and cognitive impairment. Using graph theory, a network model will be built to describe these processes and assess intra-individual differences. The data will come from a community sample that is representative of the Irish population aged 50 and older. The results will be of use to both researchers and clinicians. The model will help researchers develop targeted interventions aimed at preventing adverse health outcomes and an android application will be developed to assist clinicians in their day to day practice of gerontology. If pre-frail people can be identified by GPs or public health nurses then it may be possible to help them before frailty leads to disability and loss of independence.'