Empowering Healthy Lifestyle Behavior Through Personalized Intervention Portfolios to Prevent and Control Obesity in the Elderly
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Enrollment
- 30
- Locations
- 1
- Primary Endpoint
- Health Lifestyle Recommender System adherence time
Study Overview
Brief Summary
This pilot study will focus on men and women aged ≥60 years for a period of 3 months during which each participant will use the HLRS. The primary purpose is to study whether the HLRS, reflecting a multi-component intervention, is well accepted by the participant, has a decent adherence (i.e., user time of the app). In addition, investigators will study the feasibility of the design, i.e. whether the overall design is well suited to the participants, in order to improve their lifestyle, e.g., dietary habits and PA, among others. Secondary outcomes related to the feasibility approach include dietary habits, PA patterns, and selected plasma and urinary endpoints. This pilot study will be of longitudinal design without a control group. A later trial that is planned for the following year will focus further on biological endpoints and will be randomized. In this present pilot study, investigators aim to assess mainly the user-friendliness of the HLRS, and gather first evidence that the intervention can indeed produce healthier lifestyle patterns.
The study's primary objective is to determine whether the developed HLRS can be successfully applied to the target population (men and women aged ≥60 years) and whether they use it frequently during the study and are satisfied with the HLRS.
Secondly, investigators will study whether the assessment of endpoints required for the later and separately planned ensuing long-term study can be well assessed within the study and if, despite the limited time of the intervention duration, the intervention will be able to preliminary improve specific markers related to the risk of obesity and associated comorbidities. This will entail anthropometric measures to assess changes in body mass and body fat in addition to the primary and secondary objectives.
Detailed Description
The number of people struggling with overweight and obesity continues to grow in most countries worldwide, despite varied measures trying to limit the further progress of this pandemic. In Luxembourg, at present, about 26% of the adult population is considered as having obesity(BMI>30 kg/m²), and the associated health costs have been estimated at 1.4% of the GDP or about 930 Mio. USD for Luxembourg. Similar numbers are prevalent in other European countries.
The ongoing problem of high obesity rates has resulted in the creation of a pan-European project HealthyW8 (www.healthyw8.eu), funded by the European Union and in which the Luxembourg Institute of Health (LIH) is the coordinator.
The study described in this application is therefore motivated by the project's main objectives, which entails, among other, a total of 22 pilot trials in various European countries to be conducted. This application concerns only the activities planned in Luxembourg.
With the HealthyW8_65+ Pilot project, investigators have focused on population groups at risk of developing obesity, due to undergoing transitions in their lifestyle. Among the populations at risk are older adults as, categorized as having an age of equal to or above 65 years. As emphasized in the literature, older adults constitute a growing fraction of our society, with likely high associated healthcare costs, whose change to a more sedentary lifestyle upon retirement adds an additional risk factor, especially for sarcopenic obesity and related comorbidities, i.e., low muscle mass and consequences.
As innovative solutions to combat the trend toward increasing overweight and obesity in our society are much in need, the present study aims to employ the developed healthy lifestyle recommender solution (HLRS), which is at the center of a digital application for mobile phones. This HLRS intends to address various factors known to constitute main risks for developing obesity, including dietary patterns, physical activity (PA), and psychological/behavioral ones, among other lifestyle factors, such as sleep patterns, while also considering socio-demographic aspects. Our approach addresses several of the shortcomings of existing apps by catering to individuals with low interest in healthy lifestyles and try to motivate them via nudges and gamifications and organized information sessions to participate.
Study Design
- Study Type
- Interventional
- Allocation
- Na
- Intervention Model
- Single Group
- Primary Purpose
- Other
- Masking
- None
Eligibility Criteria
- Ages
- 60 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Individuals aged 60 or older:
- •both males/females, general free-living population,
- •residing in Luxembourg,
- •having normal weight or being overweight, i.e., with a BMI between 18.5 ; 30 kg/m², which is considered a risk factor for developing obesity,
- •owning a smartphone.
Exclusion Criteria
- •With known manifest chronic diseases that prohibits participation in the study (e.g., cancer, Parkinson's),
- •Persons with cognitive diseases (Alzheimer's) or those who are not able to lead an independent life,
- •Persons following a strict diet (on their own or advised by their physician),
- •Particular population groups, such as prisoners, the mentally disabled, or groups whose ability to give voluntary informed consent may be in question.
Arms & Interventions
Participant from the general population living in Luxembourg free of manifest diagnosed diseases
The following clinical visits and data collection points will be set up within the study:
- Enrollment visit: the participant will sign the informed consent, the eligibility of the participant will be evaluated based on anthropometric measures, a urine spot sample, as well as general questionnaire. If found eligible, the participant can continue the study
- Baseline visit: a number of questionnaires will be filled out by the participant, anthropometric data will be obtained, and a urine and blood sample will be taken, and a stool sample will be provided
- Intermediate follow-up: this will consist of a phone interview or physical meeting
- Final visit: a number of questionnaires will be filled anthropometric data, urine, blood and stool will be collected
Intervention: Investigators will evaluate the acceptance and adherence to a healthy lifestyle recommender solution (HLRS), a digital app, among participants (Other)
Outcomes
Primary Outcomes
Health Lifestyle Recommender System adherence time
Time Frame: 3 month intervention period from baseline (Day 1) to final measurement (Day 90)
Adherence time (daily and weekly usage time in minutes) will be measured by tracking through user log-data, with analysis of any significant changes in usage comparing baseline with final measurement.
Health Lifestyle Recommender system user experience
Time Frame: 3 month intervention period from baseline (Day 1) to final measurement (Day 90)
User experience corresponds to the points achieved in the User Experience Questionnaire (UEQ+, 26 items). This questionnaire analyses the attractiveness, perspicuity, efficiency, dependability, stimulation and novelty of a new product (in this case HLRS). The UEQ contains 26 items. Each item is evaluated with a 7-point Likert scale (-3 to 3 points). Then the product is classified as excellent (3 points) or bad (-3 points).
Secondary Outcomes
- Lifestyle measurements (6/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (3/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (5/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (10/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Anthropometric measurements (1/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Physical activity and fitness (2/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Anthropometric measurements (2/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Anthropometric measurements (3/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Anthropometric measurements (4/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (9/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Physical activity and fitness (1/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Physical activity and fitness (3/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (4/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Physical activity and fitness (4/4)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (2/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (8/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Clinical measurements(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (11/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Diet analysis (3/3)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (3/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (1/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (6/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (7/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Biochemical analysis (12/12)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (2/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Diet analysis (1/3)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Diet analysis (2/3)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements(1/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (4/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (5/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (7/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))
- Lifestyle measurements (9/9)(3 month intervention period from baseline (Day 1) to final measurement (Day 90))