Descrizione del progetto
Studi per far luce su come invecchiare con successo
La convinzione che la qualità della vita delle persone anziane dipenda dalle loro attività quotidiane è diffusa ma non esistono molti studi basati su dati soggettivi forniti da persone di età superiore ai 65 anni. Il progetto DEXSAGE, finanziato dall’UE, mira a colmare questa importante lacuna di conoscenza con una ricerca basata su una metodologia innovativa. Si prefiggerà di raccogliere e analizzare dati soggettivi su un approccio basato sul tempo utilizzando tre algoritmi: tipo di informazioni sugli eventi di un giorno/una settimana, descrizioni dell’importanza e dei loro effetti e descrizioni dell’influenza delle attività per il benessere degli intervistati. Il risultato dello studio sarà utilizzato per promuovere il modello più positivo per «invecchiare con successo».
Obiettivo
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.
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
1060 Wien
Austria
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.