Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome
GATEKEEPER
2 other identifiers
interventional
960
1 country
2
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2021
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 1, 2021
CompletedFirst Submitted
Initial submission to the registry
July 29, 2021
CompletedFirst Posted
Study publicly available on registry
September 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2022
CompletedSeptember 1, 2021
August 1, 2021
1.8 years
July 29, 2021
August 26, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Waist circumference (cm) from baseline to 3 months
Participants' waist circumference will be measured in triplicates (in cm) at baseline and at the 3rd month follow-up visit.
baseline and monthly until 3-month follow-up
Secondary Outcomes (8)
Changes in body mass index (kg/m2) from baseline to 3 months
baseline and monthly until 3-month follow-up
Changes in percentage of body fat from baseline to 3 months
baseline and monthly until 3-month follow-up
Patient-reported outcome measures (PROMs)
baseline and 3 months
Changes in Diet quality on FFQ and healthy diet score from baseline to 3 months
baseline and 3 months
Changes in Quality of life on EQ5D (Generic HRQL) from baseline to 3 months
baseline and 3 months
- +3 more secondary outcomes
Study Arms (3)
Control group (Standard care)
ACTIVE COMPARATORParticipants in the control group 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 for 3 months.
Intervention group 1 (Application)
EXPERIMENTALParticipants will will be additionally provided with a health-promotion application for self-management for 3 months.
Intervention group 2 (Devices)
EXPERIMENTALParticipants will be additionally provided with wearables and devices for 3 months including: * A weighing scale (assessing also body composition) device * A smartwatch/wristband to assess physical activity but also sleep pattern.
Interventions
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.
Participants will be provided with a health-promotion application for self-management for 3 months, additionally to the standard care.
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.
Eligibility Criteria
You may qualify if:
- Males and females aged ≥55 years old
- Having any of the following risk factors for MetS:
- waist circumference \>94 cm for men and \>80 cm for women
- Triglycerides (TG) ≥150 mg/dL
- High-density lipoprotein cholesterol (HDL-C) \<40 mg/dL for men and \<50 mg/dL for women
- Fasting glucose ≥100 mg/dL
- Blood pressure ≥130 /≥85 mm Hg
- Living at home (either alone or with relatives)
- Informed consent form provided
You may not qualify if:
- Having severe hearing or vision problems or any other acute or chronic condition that would limit the ability of the user to participate in the study
- Having dementia or cognitive impairment
- Being institutionalised
- Participation in another research project
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Harokopio Universitylead
- CitiesNetcollaborator
- University of Thessalycollaborator
- University of Patrascollaborator
- BioAssistcollaborator
- University of Ioanninacollaborator
- Centre for Research & Technology Hellas (CERTH)collaborator
Study Sites (2)
Harokopio University of Athens
Kallithea, Attica, 17671, Greece
University of Thessaly
Trikala, 42132, Greece
Related Publications (14)
Zimmet P, M M Alberti KG, Serrano Rios M. [A new international diabetes federation worldwide definition of the metabolic syndrome: the rationale and the results]. Rev Esp Cardiol. 2005 Dec;58(12):1371-6. No abstract available. Spanish.
PMID: 16371194BACKGROUNDAlberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr; International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009 Oct 20;120(16):1640-5. doi: 10.1161/CIRCULATIONAHA.109.192644. Epub 2009 Oct 5.
PMID: 19805654BACKGROUNDMartin-Timon I, Sevillano-Collantes C, Segura-Galindo A, Del Canizo-Gomez FJ. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J Diabetes. 2014 Aug 15;5(4):444-70. doi: 10.4239/wjd.v5.i4.444.
PMID: 25126392BACKGROUNDSaklayen MG. The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep. 2018 Feb 26;20(2):12. doi: 10.1007/s11906-018-0812-z.
PMID: 29480368BACKGROUNDLesjak V, Stanojevic-Jerkovic O. Physical Activity, Sedentary Behavior and Substance Use among Adolescents in Slovenian Urban Area. Zdr Varst. 2015 Jun 9;54(3):168-74. doi: 10.1515/sjph-2015-0024. eCollection 2015 Sep.
PMID: 27646724BACKGROUNDScuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Manas LR, Mattace Raso FU, Muiesan ML, Ryliskyte L, Rietzschel E, Strait J, Vlachopoulos C, Volzke H, Lakatta EG, Nilsson PM; Metabolic Syndrome and Arteries Research (MARE) Consortium. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. 2015 Apr;22(4):486-91. doi: 10.1177/2047487314525529. Epub 2014 Mar 19.
PMID: 24647805BACKGROUNDDevers MC, Campbell S, Simmons D. Influence of age on the prevalence and components of the metabolic syndrome and the association with cardiovascular disease. BMJ Open Diabetes Res Care. 2016 Apr 25;4(1):e000195. doi: 10.1136/bmjdrc-2016-000195. eCollection 2016.
PMID: 27158519BACKGROUNDKraja AT, Borecki IB, North K, Tang W, Myers RH, Hopkins PN, Arnett D, Corbett J, Adelman A, Province MA. Longitudinal and age trends of metabolic syndrome and its risk factors: the Family Heart Study. Nutr Metab (Lond). 2006 Dec 5;3:41. doi: 10.1186/1743-7075-3-41.
PMID: 17147796BACKGROUNDAthyros VG, Ganotakis ES, Bathianaki M, Monedas I, Goudevenos IA, Papageorgiou AA, Papathanasiou A, Kakafika AI, Mikhailidis DP, Elisaf M; MetS-Greece Collaborative Group. Awareness, treatment and control of the metabolic syndrome and its components: a multicentre Greek study. Hellenic J Cardiol. 2005 Nov-Dec;46(6):380-6.
PMID: 16422124BACKGROUNDPark MJ, Kim HS. Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity. Int J Med Inform. 2012 Jun;81(6):388-94. doi: 10.1016/j.ijmedinf.2011.12.011. Epub 2012 Jan 21.
PMID: 22265810BACKGROUNDKonerding U, Elkhuizen SG, Faubel R, Forte P, Malmstrom T, Pavi E, Janssen MF. The validity of the EQ-5D-3L items: an investigation with type 2 diabetes patients from six European countries. Health Qual Life Outcomes. 2014 Dec 5;12:181. doi: 10.1186/s12955-014-0181-5.
PMID: 25479769BACKGROUNDKokaliari ED, Roy AW. Validation of the Greek translation of the multicultural quality of life index (MQLI-gr). Health Qual Life Outcomes. 2020 Jun 15;18(1):183. doi: 10.1186/s12955-020-01426-9.
PMID: 32539776BACKGROUNDLiu D, Maimaitijiang R, Gu J, Zhong S, Zhou M, Wu Z, Luo A, Lu C, Hao Y. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey. JMIR Mhealth Uhealth. 2019 Aug 22;7(9):e13127. doi: 10.2196/13127.
PMID: 31507269BACKGROUNDSoldatos CR, Dikeos DG, Paparrigopoulos TJ. Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res. 2000 Jun;48(6):555-60. doi: 10.1016/s0022-3999(00)00095-7.
PMID: 11033374BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Odysseas Androutsos, PhD
University of Thessaly
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
July 29, 2021
First Posted
September 1, 2021
Study Start
March 1, 2021
Primary Completion
December 1, 2022
Study Completion
December 1, 2022
Last Updated
September 1, 2021
Record last verified: 2021-08
Data Sharing
- IPD Sharing
- Will not share