Objectif
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.
Champ scientifique (EuroSciVoc)
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN. Voir: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN. Voir: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- sciences médicales et de la santésciences de la santésanté publique et environnementale
- ingénierie et technologiegénie électrique, génie électronique, génie de l’informationindustrie électrotechniqueingénierie énergétiquedistribution d'électricité
- sciences médicales et de la santémédecine cliniquegérontologie
- sciences naturellesmathématiquesmathématiques puresmathématiques discrètesthéorie des graphes
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Appel à propositions
FP7-PEOPLE-2012-CIG
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Régime de financement
MC-CIG - Support for training and career development of researcher (CIG)Coordinateur
D02 CX56 Dublin
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