Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome

Summary

In GATEKEEPER intervention, Big Data Analytics techniques will be exploited to address risk stratification and early detection, based on lifestyles analysis including: pattern recognition for the improvement of public health surveillance and for the early detection of chronic conditions; data mining for inductive reasoning and exploratory data analysis; Cluster Analysis for identifying high-risk groups among elder citizens. In the above cases timely intervention is provided by through AI-based, digital coaches, structured conversations, consultation and education. The main target group (N=960) is older adults and elderly citizens with risk factors for MetS and their carers. Therefore, the GATEKEEPER intervention aims at primary (avoid occurrence of disease) and secondary (early detection and management) prevention of the ageing population at risk for MetS.

Conditions

• Metabolic Syndrome

Interventions

DEVICE

Wearables and devices

Participants will be provided with wearables and devices, including a weighing scale (assessing also body composition) device and a smartwatch/wristband to assess physical activity but also sleep pattern, for 3 months, additionally to the standard care and the Health-promotion application.

BEHAVIORAL

Standard care

Participants will receive only the standard care as provided by the local and national healthcare system as well as one face-to-face counselling session for lifestyle modification to improve their risk factors.

BEHAVIORAL

Health-promotion application for self-management

Participants will be provided with a health-promotion application for self-management for 3 months, additionally to the standard care.

Sponsors & Collaborators

• CitiesNet

  collaborator UNKNOWN

• University of Thessaly

  collaborator OTHER

• University of Patras

  collaborator OTHER

• BioAssist

  collaborator UNKNOWN

• University of Ioannina

  collaborator OTHER

• Centre for Research & Technology Hellas (CERTH)

  collaborator UNKNOWN

• Harokopio University

  lead OTHER

Principal Investigators

• Odysseas Androutsos, PhD · University of Thessaly

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

55 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2021-03-01

Primary Completion

2022-12-31

Completion

2022-12-31

Countries

• Greece

Study Locations