Description du projet
Une étude pour faire la lumière sur le vieillissement réussi
La croyance selon laquelle la qualité de vie des personnes âgées dépend de leurs activités quotidiennes est généralisée, mais les études fondées sur des données subjectives fournies par des personnes âgées de plus de 65 ans sont rares. Le projet DEXSAGE, financé par l’UE, vise à combler cette importante lacune en matière de connaissances avec des recherches fondées sur une méthodologie innovante. Il entreprendra de recueillir et d’analyser des données subjectives selon une approche temporelle à l’aide de trois algorithmes: type d’informations sur les événements d’un jour ou d’une semaine, descriptions de l’importance et de leurs effets et descriptions de l’influence des activités sur le bien-être des personnes interrogées. Les résultats de l’étude serviront à promouvoir le modèle le plus positif possible de «vieillissement réussi».
Objectif
Older adults’ daily experiences were shown to be detrimental to their Successful Ageing. Empirical studies demonstrate that the type and quality of daily activities are constitutive for senior citizens' Quality of Life, and for how many more years they would like to live. Meanwhile, there are very few studies collecting data on daily activities from respondents aged 65+. Even fewer collect information on respondent’s evaluation of these activities. This project aims to give voice to the respondents by collecting data on everyday events and their subjective perception by individuals aged 65+. It will use a time-use approach, i.e Experience Sampling Method (ESM) including important methodological innovations. Three algorithms will be used to collect different but compatible sets of time-based data and allow for comparative analyses between them. Data collection will take one week per person and each individual will provide information on 15-50 time-points. First algorithm will use classic ESM approach to provide information on how events are plotted across the day and the week, and how wellbeing fluctuates depending on time and day. Second algorithm will allow respondents recording events which are meaningful to them and most detrimental to their wellbeing. Third algorithm will provide information on events considered essential for how a day is structured. Altogether the three datasets will be used to answer questions about the dynamics of elderly’s days, how they experience different activities and how these experiences affect their wellbeing and quality of life. We aim at promoting this project as bringing essential new knowledge not only for policy-makers but also for practitioners and elderly individuals themselves. Along with scientific publications, easy-to-understand brochures including main findings and recommendations will be made available online.
Programme(s)
Appel à propositions
(s’ouvre dans une nouvelle fenêtre) H2020-MSCA-IF-2018
Voir d’autres projets de cet appelRégime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
1060 Wien
Autriche
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.