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| Name | Class |
|---|---|
| Optimyse Nutrition LTD | UNKNOWN |
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Personalised nutrition approaches typically rely on static information such as health status, lifestyle and genetic data. However, adherence often remains low because daily behaviours are influenced by psychological states, motivation and real-time barriers. There is growing interest in whether integrating behavioural signals and timely prompts could strengthen engagement. The purpose of this study is to explore whether incorporating psychological adaptation and just-in-time behavioural prompts leads to better adherence to a personalised nutrition programme compared with commonly used personalised approach (combining health, lifestyle and genetics data without psycho-behavioural adaptation). Using a six-week n-of-1 randomised trial design implemented across multiple participants, the research will also assess the feasibility of delivering this adaptive support in a free-living environment, as well as participants' engagement, acceptability and perceived usefulness. These findings will inform the development of an adaptive personalised nutrition AI agent.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Static personalisation | Active Comparator | All participants receive a fully personalised dietary and lifestyle plan based on:
Participants receive:
No adaptation is made based on:
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| Fully personalised | Experimental | All participants receive a fully personalised dietary and lifestyle plan based on:
Participants receive the same nutritional and lifestyle content, but daily goals are adapted based on: Stable Traits
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Psychology-tailored message | Behavioral | Participants receive the same nutritional and lifestyle content, but daily goals are adapted based on: Stable Traits
Daily personalisation influences:
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| Measure | Description | Time Frame |
|---|---|---|
| Adherence | Adherence is defined as daily completion or active attempt of the assigned lifestyle goal. Adherence is measured using a brief daily self-report item delivered via WhatsApp as part of an ecological momentary assessment. Each day, participants are asked whether they completed or actively attempted the assigned goal (Yes/No). Daily adherence is coded as a binary outcome (1 = completed, 0 = not completed). Adherence rates are calculated as the proportion of completed goal days relative to total analysable person-days and compared between personalised intervention days and static control days. An analysable person-day is defined as a day on which a goal message was successfully delivered and a corresponding adherence response was received within the response window. Days with missing responses or delivery failures are excluded from adherence analyses. | From enrolment to the end of the 6 week intervention |
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Inclusion Criteria:
Participants must:
Given that the programme focuses on the six pillars of lifestyle medicine (nutrition, physical activity, sleep, stress management, social connection, and alcohol/substance moderation), participants must be able to safely engage with light lifestyle recommendations.
Exclusion Criteria:
Participants will be excluded if they:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St Mary's University | Twickenham | Middlesex | TW1 4SX | United Kingdom |
The findings will be used to develop a commercial App for dietary behaviour change
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This study is a 6-week n-of-1 micro-randomised trial (MRT) across multiple participants designed to evaluate the effect of message tailoring (psychology-tailored vs neutral) on short-term habit adherence within a fully personalised lifestyle intervention. An MRT is a within-person experimental design in which each participant is repeatedly randomised to different intervention conditions. This allows estimation of causal, moment-level effects even in small samples because each participant serves as their own control.
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| Neutral message | Behavioral | Participants receive:
No adaptation is made based on:
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