Actively Recruiting
Can Personalised Digital Feedback Help Increase Plant Food Intake?
Led by University of Bath · Updated on 2026-03-17
315
Participants Needed
1
Research Sites
45 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Inadequate plant food intake is a leading modifiable risk factor for non-communicable disease. However, on average, 88% of individuals do not consume adequate amounts of vegetables. Using digital technology may help improve health behaviours , with this potentially providing an accessible route to increasing plant food intake. However, uptake and engagement with applications designed to influence health behaviours is generally poor , and few studies have examined the main factors supporting user engagement and retention. Personalised dietary feedback, such as the provision of personalised advice or recipes, has the potential to enhance this process. However, whether nutritional interventions utilising personalised dietary feedback support user interaction, engagement, and retention remains to be studied. Hence, the proposed project is a proof-of-concept study aiming to assess the effectiveness of using an application with personalised dietary feedback to support increased healthy plant food intake. 315 healthy males and females, between the ages of 18- and 45-years who self-report less than 50% of the recommended intake of vegetable consumption will participate in the study. Before the intervention, participants will receive web-based instruction on the use of the smartphone application. Subsequently, participants will log all meals for two-weeks using the application to generate a baseline plant food consumption profile. In the baseline period, participants will wear a continuous glucose monitor. This will inform their individualised goals and possible feedback for the intervention period. The intervention will be 4-weeks in duration, consisting of the use of a personalised dietary program application, which will provide both recipes and feedback. Those randomised to the control will only have access to the meal logging feature. Throughout this period, participants will wear a smartwatch to track sleep metrics such as sleep onset and duration. Following the four-week intervention period, participants will be able to continue using the app for a six-week period, during which engagement with the application over time will be ascertained via telemetry. At the end of the follow-up, participants will receive an exit questionnaire to provide insight on their experience with the application, attitudes, habits and knowledge regarding consumption of plant foods, and self-perceived impact on health and dietary habits. To provide mechanistic insight, a subset of participants (n = 50) will visit the laboratory at the University of Bath on two occasions (approximately 45 minutes each) - baseline and post-intervention. During laboratory visits, participants will provide blood pressure and body weight measurements, as well as saliva and venous blood samples. Saliva samples will be assessed for salivary cortisol, and blood samples will be assessed for the following: plasma glucose \& insulin; plasma uric acid; plasma ascorbic acid; plasma tocopherols; serum carotenoids; plasma cytokines; plasma CRP and ferritin; F2-Isoprostanes; immune cell inflammatory capacity; HbA1c.
CONDITIONS
Official Title
Can Personalised Digital Feedback Help Increase Plant Food Intake?
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Healthy males and females aged 18 to 45 years at study start
- Do not reject Knorr products (due to recipes in the app)
- Cook or plan to cook at least one main meal at home at least five days per week
- Desire to eat more vegetables
- Own an Android or iOS smartphone
- Willing to use an app to receive information and log all meals daily
- Currently use or willing to use a smartwatch
- Able to provide informed consent
You will not qualify if you...
- Eat more than 50% of the UK recommended vegetable intake or above UK adult average (206 g/2.6 servings)
- Participated in another nutritional or biomedical trial within one month before or during this study
- Plan frequent travel (>2 times per month) or travel to countries with time zones >GMT +04:00 during the study
- Habitually consume >14 alcoholic drinks per week (female) or >21 drinks (male)
- Started or changed use of nicotine products recently or during study
- If female, pregnant, recently pregnant (within 3 months), planning pregnancy, lactating, or recently lactated (within 6 weeks)
- Follow a medically prescribed, slimming, or vegetable-restricting diet; not used to eating at least 3 meals daily
- Experienced body weight change >5% in the last 3 months
- History of major depressive disorders or current use of antidepressive/antianxiety medication
- Diagnosed sleep disorders or use of prescribed sleep medication
- Taking medications or supplements that pose personal risk or bias study results, as judged by the PI
- Allergy to adhesives preventing use of continuous glucose monitor
- Employed by companies developing personalised diet apps, including Salus Optima or Unilever
AI-Screening
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Trial Site Locations
Total: 1 location
1
Univeristy of Bath
Bath, Somerset, United Kingdom, BA2 7AY
Actively Recruiting
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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