ELFI Health (e-Health for Empowerment by Lifestyle, Food Advice and Interaction)

NCT ID: NCT06236334

Last Updated: 2024-11-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

9 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-03-25

Study Completion Date

2024-11-08

Brief Summary

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In the present study the investigators will examine whether people living with prediabetes benefit from an e-health lifestyle intervention of three months.

Detailed Description

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In the Netherlands about 1,2 million people are living with type 2 diabetes. This number increases weekly by an average of 1000 people. Besides, an equal number of people are living in a condition of prediabetes. In this precondition of type 2 diabetes, prevention is still possible for people by changing their lifestyle. Ideally, for every individual a personalised lifestyle intervention, adapted to the individual situation, biology and preferences is advised. A personalised lifestyle intervention is effective in preventing and delaying progression to type 2 diabetes. In this study, it will be investigated whether it is feasible to perform a personalised lifestyle intervention in combination with an online e-health platform. The e-Health for Empowerment by Lifestyle, Food advice and Interaction (ELFI) Health lifestyle intervention aims to improve the lifestyle of people with prediabetes to prevent them from developing type 2 diabetes.

Therefore, the primary objective is to execute a feasibility study of the ELFI Health lifestyle intervention for three months in people with prediabetes in primary care (based on HbA1c). The secondary objectives are assessing the impact of the ELFI health lifestyle intervention after three months on objective outcome parameters, including lipid profile, body composition, waist and hip circumference, blood pressure, and nutritional intake, as well as evaluating the lifestyle intervention and the online e-health platform used by participants and medical professionals.

The study is a feasibility study, studying the ability of a personalised lifestyle intervention and e-health platform to change lifestyle behaviour and decrease the risk for the development of type 2 diabetes in people with prediabetes.

The participants are newly diagnosed adults with prediabetes, aged 18-70 years. Prediabetes is defined as people with disturbed glucose values based on HbA1c levels of 39 - 53 mmol/mol (= 5.7 - 7.0%).

The intervention in this study consists of a personalised lifestyle intervention for three months. After measurements of HbA1c, blood lipids, body composition, waist and hip circumferences, blood pressure, and after assessment of food intake, a personal goal is set and participants start following the personalised lifestyle intervention. This is partly a digital intervention and partly a physical intervention (blended care). The digital part is followed via an online e-health platform, which offers different information modules. The physical part consists of different measurements of the outcome parameters and community events, where participants are in contact with their general practitioner and peers. Besides, participants have three appointments during the intervention period with a dietician to discuss their personalised program.

The main study outcome is the feasibility of the ELFI Health lifestyle intervention for three months in people with prediabetes in primary care. Key question is whether the intervention is appreciated by the subjects and working sufficiently to motivate participants in maintaining a healthier lifestyle. The feasibility will be evaluated by examination of the HbA1c level and subsequent prediabetes risk.

Conditions

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Pre-diabetes

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

People at risk for diabetes will be selected. Screening at HbA1c level will be a selection criterion
Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

All subjects will participate in a blended/hybrid intervention of live and online lifestyle support

Study Groups

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Lifestyle intervention

The intervention will be a twelve week lifestyle intervention (live and online)

Group Type EXPERIMENTAL

ELFI lifestyle intervention

Intervention Type BEHAVIORAL

A (digital) lifestyle support intervention. Based on anthropometrics, food intake and lifestyle preferences, subjects will receive behavioral lifestyle support, especially with the focus on healthy food intake.

Interventions

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ELFI lifestyle intervention

A (digital) lifestyle support intervention. Based on anthropometrics, food intake and lifestyle preferences, subjects will receive behavioral lifestyle support, especially with the focus on healthy food intake.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. Healthy as assessed with screening questionnaire
2. HbA1c: 39 - 53 mmol/mol (= 5.7 - 7.0%)
3. Age between 18 - 70 years
4. Stable BMI of 25 - 35 kg/m2
5. Informed consent signed
6. Willing to comply with the study procedures during the study
7. Being able to become more physically active, as assessed by the screening questionnaire (P9885 F02; in Dutch).
8. Being digitally competent
9. Willing to accept the use of all nameless data, including publication, and the confidential use and storage of all data for at least 15 years

Exclusion Criteria

1. Being diagnosed with diabetes type 1 or 2
2. Use of insulin, corticosteroids (systemic), or beta-blockers in past month
3. Use of oral diabetes medication in past year
4. (Having a history of a) medical condition that might significantly affect the study outcome as judged by the general practitioner and health and lifestyle questionnaire. This includes gastrointestinal dysfunction, diseases related to inflammation or allergy, or a psychiatric disorder
5. Being abroad or on vacation for longer than a week.
6. Alcohol consumption \> 21 (women) - 28 (men) units/week
7. Reported unexplained weight loss or gain of \> 2 kg in the month prior to the pre-study screening
8. Recent blood donation (\<1 month prior to the start of the study)
9. Not willing to give up blood donation during the study
10. Not willing to accept information-transfer concerning participation in the study, or information regarding his health, like laboratory results, findings at anamnesis or physical examination and eventual adverse events to and from his general practitioner.
11. Pregnant or lactating women
12. Involved in another Combined Lifestyle Intervention or weight loss program
13. On GLP-1 analogues to stimulate weight loss
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Roche Diagnostics GmbH

INDUSTRY

Sponsor Role collaborator

World Data Exchange

UNKNOWN

Sponsor Role collaborator

TNO

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Suzan Wopereis, PhD

Role: PRINCIPAL_INVESTIGATOR

TNO

Locations

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TNO

Leiden, Holland, Netherlands

Site Status

Countries

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Netherlands

References

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Uusitupa M, Khan TA, Viguiliouk E, Kahleova H, Rivellese AA, Hermansen K, Pfeiffer A, Thanopoulou A, Salas-Salvado J, Schwab U, Sievenpiper JL. Prevention of Type 2 Diabetes by Lifestyle Changes: A Systematic Review and Meta-Analysis. Nutrients. 2019 Nov 1;11(11):2611. doi: 10.3390/nu11112611.

Reference Type BACKGROUND
PMID: 31683759 (View on PubMed)

Galaviz KI, Weber MB, Suvada K BS, Gujral UP, Wei J, Merchant R, Dharanendra S, Haw JS, Narayan KMV, Ali MK. Interventions for Reversing Prediabetes: A Systematic Review and Meta-Analysis. Am J Prev Med. 2022 Apr;62(4):614-625. doi: 10.1016/j.amepre.2021.10.020. Epub 2022 Feb 10.

Reference Type BACKGROUND
PMID: 35151523 (View on PubMed)

Other Identifiers

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NL85760.028.23

Identifier Type: REGISTRY

Identifier Source: secondary_id

P2341

Identifier Type: OTHER

Identifier Source: secondary_id

9885 (TNO)

Identifier Type: -

Identifier Source: org_study_id

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