Plant Food IntakeD4MNCT07478068
Can Personalised Digital Feedback Help Increase Plant Food Intake?
A study testing Personalised Feedback in people with Plant Food Intake, run by University of Bath at 1 site in United Kingdom.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 to 45 yearsHealthy volunteers can take part
- Conditions the study is for
- Plant Food Intake
- What is being tested?
- Personalised Feedback
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 315 participants
- Where
- 1 siteUnited Kingdom
- Study dates
- 14 May 2025to 30 Mar 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 45 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Healthy males and females, age at start of the study ≥ 18 and ≤ 45 years;
- Non-rejectors of Knorr (due to the recipes in the PDP application);
- Currently cooking or intending to cook (*themselves or partner) at least one main meal at home for at least five days a week;
- Indicated desire to eat more vegetables;
- In possession of an Android or iOS-based smartphone;
- Willing to use an app to receive information and log all meals daily;
- Currently using or willing to use a smartwatch;
- Able to provide informed consent.
Who cannot join
- High reported baseline veg intake (participants need to self-report less than 50% of the UK rec / self-reported intake above the UK adult average (206 g/2.6 servings));
- Reported participation in another nutritional or biomedical trial within 1 month before the screening or during the study;
- Planned frequent travel (>2/month) and travel to countries with time zone >GMT +04:00 during the study period;
- Habitual consumption of >14 units (female participants) and >21 units (male participants) alcoholic drinks in a typical week;
- Reported start or change in use of any nicotine containing products directly preceding the study or during the study itself;
- If female, is pregnant (or has been pregnant during the last <3 months) or will be planning pregnancy during the study period;
Show all 12Show fewer
- If female, is lactating or has been lactating in the 6 weeks before screening and/or during the study period;
- Reported dietary habits: medically prescribed diet, slimming diet, any condition or self-prescribed diet that restricts consumption of vegetables, not used to eating at least 3 meals a day;
- Reported body mass loss/gain (>5%) in the last 3 months before the study. Self-reported history of major depressive disorders and/or current use antidepressive/antianxiety medication;
- Clinically diagnosed sleep disorders and/or use prescribed sleep medication. Taking medication (including traditional medicines and or dietary supplements) which may pose undue personal risk or introduce bias into study measurements, as judged by the PI;
- An allergy to adhesives, which would prevent proper attachment of the CGM;
- Being an employee of any company developing personalised diet applications, including Salus Optima or Unilever.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United Kingdom1 site, 1 recruiting
- Recruiting
Univeristy of Bath
Bath, Somerset, BA2 7AY
Max Davis, 01225 388388, md959@bath.ac.uk
About this study
Official title: Supporting Increased Plant Food Intake Using Personalised Digital Feedback
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.
Read more
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
- Plant Food Intake
- Being tested
- Personalised Feedback, Control
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Personalised FeedbackBehavioural
Personalised dietary feedback, such as the provision of personalised advice or recipes
ControlBehavioural
Will only use the application to log meal and will receive no feedback or advice.
| Study group | Role | What they receive |
|---|---|---|
| Personalised Feedback | Experimental | Participants allocated to the "Personalised Feedback" condition will receive personalised dietary feedback such as the provision of personalised advice or recipes Receives: Behavioral: Personalised Feedback |
| Control | Placebo comparator | Participants allocated to the "Control" arm will only use the application to log dietary intake and will receive no feedback or personalised advice. Receives: Behavioral: Control |
What is being measured
The primary outcome is the main question the study is designed to answer.
Plant Food Intake
Daily consumption of plant foods measured in grams per day and servings per day
Measured: Change from baseline
Secondary outcomes (16)
Attitudes, Habits, and Knowledge
Attitudes, habits, and knowledge regarding plant food cooking and intake measured via questionnaires (Health and Taste Attitude Scales, Roinine et al., 2001)
Measured: Change from baseline
Mood
Negative and positive mood, vitality, flourishing and flourishing behaviours measured via questionnaires (Connor et al., 2017)
Measured: Change from baseline
Stress
Perceived stress measured via the Perceived Stress Scale questionnaire
Measured: Change from baseline
Sleep
Sleep quality measured via Pittsburgh Sleep Quality Index. Sleep onset, wake after sleep onset, morning wake time, and total sleep time derived from smartwatch data
Measured: Change from baseline
Interstitial Glucose Concentration
Interstitial glucose concentration measured every minute using a continuous glucose monitor
Measured: Change from baseline
Salivary Cortisol
Salivary cortisol will be assessed upon waking using a biosynthetic swab in the mechanistic subset of participants
Measured: Change from baseline
Blood Lipids
Blood lipids in the mechanistic subset will be analysed using an automated analyser (Daytona; Randox Lab, Crumlin, UK). Samples will be obtained following an overnight fast
Measured: Change from baseline
Plasma Glucose
Plasma glucose in the mechanistic subset will be analysed using an automated analyser (Daytona; Randox Lab, Crumlin, UK). Samples will be obtained following an overnight fast
Measured: Change from baseline
Plasma Uric Acid
Plasma uric acid in the mechanistic subset will be analysed using an automated analyser (Daytona; Randox Lab, Crumlin, UK). Samples will be obtained following an overnight fast
Measured: Change from baseline
Plasma Insulin
Plasma insulin in the mechanistic subset will be ascertained using commercially available enzyme-linked immunosorbent assays (ELISA). Samples will be obtained following an overnight fast
Measured: Change from baseline
Serum Carotenoids
Serum carotenoids in the mechanistic subset will be quantified using high-performance liquid chromatography. Samples will be collected following an overnight fast
Measured: Change from baseline
Plasma Cytokines
Plasma cytokines (adiponectin, IL-6, IL-10) in the mechanistic subset will be ascertained via ELISA. Samples will be collected following an overnight fast
Measured: Change from baseline
Immune Cell Activation
Immune cell activation in the mechanistic subset will be assessed using whole blood stimulation. Samples will be collected following an overnight fast
Measured: Change from baseline
Plasm C-reactive Protein
Plasma C-reactive Protein in the mechanistic subset will be quantified using ELISA. Samples will be collected following an overnight fast
Measured: Change from baseline
Plasma Ferritin
Plasma ferritin in the mechanistic subset will be quantified via ELISA. Samples will be collected following an overnight fast
Measured: Change from baseline
Attitudes, Habits, and Knowledge
Attitudes, habits, and knowledge regarding plant food cooking and intake measured via questionnaires (Food Neophobia Scale, Pliner \& Hobden, 1992)
Measured: Change from baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Mar 2026
- Study start14 May 2025
- Primary completion30 Mar 2026 (estimated)
- Study completion30 Mar 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Plant Food IntakeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 315 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Bath
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Max Davis, University of Bath
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07478068
- Sponsor's protocol ID
- 8028-11785
- Acronym
- D4M
- Status last verified
- Mar 2026
- First submitted
- 4 Mar 2026
- Last updated
- 17 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 17 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Supporting Increased Plant Food Intake Using Personalised Digital Feedback
- ClinicalTrials.gov ID
- NCT07478068
- Acronym / sponsor ID
- D4M / 8028-11785
- Conditions
- Plant Food Intake
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 315 participants (estimated)
- Lead sponsor
- University of BathUniversity, hospital or other
- Study start
- 14 May 2025 (actual)
- Primary completion
- 30 Mar 2026 (estimated)
- Study completion
- 30 Mar 2026 (estimated)
- First posted
- 17 Mar 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Personalised Feedback | Experimental | Behavioral: Personalised FeedbackParticipants allocated to the "Personalised Feedback" condition will receive personalised dietary feedback such as the provision of personalised advice or recipes |
| Control | Placebo comparator | Behavioral: ControlParticipants allocated to the "Control" arm will only use the application to log dietary intake and will receive no feedback or personalised advice. |
Who may qualify
- Ages
- 18 to 45 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (8 listed)
- Healthy males and females, age at start of the study ≥ 18 and ≤ 45 years;
- Non-rejectors of Knorr (due to the recipes in the PDP application);
- Currently cooking or intending to cook (*themselves or partner) at least one main meal at home for at least five days a week;
- Indicated desire to eat more vegetables;
- In possession of an Android or iOS-based smartphone;
Key exclusion criteria (12 listed)
- High reported baseline veg intake (participants need to self-report less than 50% of the UK rec / self-reported intake above the UK adult average (206 g/2.6 servings));
- Reported participation in another nutritional or biomedical trial within 1 month before the screening or during the study;
- Planned frequent travel (>2/month) and travel to countries with time zone >GMT +04:00 during the study period;
- Habitual consumption of >14 units (female participants) and >21 units (male participants) alcoholic drinks in a typical week;
- Reported start or change in use of any nicotine containing products directly preceding the study or during the study itself;
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Personalised FeedbackPersonalised dietary feedback, such as the provision of personalised advice or recipes | Behavioural | Personalised Feedback |
| ControlWill only use the application to log meal and will receive no feedback or advice. | Behavioural | Control |
Primary outcome
Plant Food Intake
Time frame: Change from baseline
Daily consumption of plant foods measured in grams per day and servings per day
16 secondary outcomes
Attitudes, Habits, and Knowledge
Time frame: Change from baseline
Mood
Time frame: Change from baseline
Stress
Time frame: Change from baseline
Sleep
Time frame: Change from baseline
Interstitial Glucose Concentration
Time frame: Change from baseline
Salivary Cortisol
Time frame: Change from baseline
Blood Lipids
Time frame: Change from baseline
Plasma Glucose
Time frame: Change from baseline
Plasma Uric Acid
Time frame: Change from baseline
Plasma Insulin
Time frame: Change from baseline
Serum Carotenoids
Time frame: Change from baseline
Plasma Cytokines
Time frame: Change from baseline
Immune Cell Activation
Time frame: Change from baseline
Plasm C-reactive Protein
Time frame: Change from baseline
Plasma Ferritin
Time frame: Change from baseline
Attitudes, Habits, and Knowledge
Time frame: Change from baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 17 Mar 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Personalised Feedback in people with Plant Food Intake, run by University of Bath at 1 site in United Kingdom.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 12 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 17 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Plant Food Intake (time frame: Change from baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 17 Mar 2026.