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Daily Experiences of Successful Ageing

Project description

Study to shed light on successful aging

The belief that the quality of life of older people depends on their everyday activities is widespread but there are not many studies based on subjective data provided by people over the age of 65. The EU-funded DEXSAGE project aims to fill this important knowledge gap with research based on an innovative methodology. It will set out to collect and analyse subjective data on a time-based approach using three algorithms: type of information about events of a day/week, descriptions of importance and their effects, and descriptions of the influence of the activities for the wellbeing of respondents. The result of the study will be used to promote the most positive model for ‘Successful Ageing’.

Objective

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.

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Keywords

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

SYNYO GMBH
Net EU contribution
€ 186 167,04
Address
OTTO-BAUER-GASSE 5/14
1060 Wien
Austria
SME
Yes
Region
Ostösterreich Wien Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 186 167,04