Circadian health, physical activity and pattern of eating habits as frailty predictors: data from the portuguese population

Circadian health, physical activity and pattern of eating habits as frailty predictors: data from the portuguese population

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Activity details

The associated project presented is part of a main programme named ModulEn, a pilot project for the establishment of a predictive model as possible modulator of aging in health. This project aims to establish a predictive model of risk of frailty in older people aged 65-80 years from Portugal (Coimbra) and Spain (Coruña, Huelva and León), using data from ACM KRONOWISE® 2.0 sensors ("wristwatch"). These sensors allows proactive and continuous monitoring of circadian cycles, patterns of physical activity and eating, and brightness levels to which participants are exposed, data that can predict the evolution of older people frailty. The results of this project will allow the construction and validation of instruments that will improve older people literacy, autonomy and well-being and that will support the conventional techniques existing in the research.
Action Group:
Other organisations participating in the commitment: 
Health Institute Carlos III (Spain) Chronobiology Laboratory: Cronolab - University of Murcia (Spain).
Objective:
Lead organisation name: 
Coimbra Nursing School
Organisation country:
Contact person: 
João Luís Apóstolo
Contact person email: 
apostolo@esenfc.pt
Activity type:
Start date: 
03/08/2018
End date: 
31/12/2018
Geographic_coverage:
Last update: 22/03/2019

Current Status

Ongoing
This project is in ongoing and is currently in the phase of data collection. Until now it was presented at the 1st International Colloquium Aging, Health and Citizenship - Frailty in older people (26/10/2018).

Results

Title Planned Deadline Current Status Category Attachments
Public presentation of the project on 1st International Colloquium Aging, Health and Citizenship - Frailty in older people 26/10/2018 Achieved Dissemination: Meetings, events, conferences

Outcomes

Indicator Target indicator Current status
Include 160 older people from community in this study, and recommend lifestyle adjustments to improve quality of life, based in individual data recorded through sensors used in ambulatory context. Include 160 older people in this study until december of 2019. Until now 40 older people are inclued in this project.