Exploring the Use of Genetic and Behavioural Data in Tailoring Dietary and Lifestyle Support

April 27, 2026 updated by: Alexandra King

Exploring the Use of Genetic and Behavioural Data in Tailoring Dietary and Lifestyle Support: An n=1 Randomised Trial

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.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

20

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Middlesex
      • Twickenham, Middlesex, United Kingdom, TW1 4SX
        • St Mary's University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Participants must:

    1. Be 18-45 years old.
    2. Have a BMI between 18.5 and 40 kg/m² (normal weight to obesity categories).
    3. Own a smartphone with WhatsApp installed.
    4. Be willing to receive daily messages for 6 weeks.
    5. Be able to provide informed consent.
    6. Be willing to provide a cheek swab for DNA analysis.
    7. Have sufficient English proficiency to understand daily written instructions.

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:

    1. Have a diagnosed eating disorder or significant disordered eating symptoms.
    2. Are currently pregnant or breastfeeding.
    3. Have any medical condition requiring medically supervised dietary modification (e.g., diabetes requiring medication, kidney disease, coeliac disease).
    4. Are currently taking medication that significantly affects appetite, weight, or metabolism (e.g., GLP-1 agonists).
    5. Work night shifts
    6. Have severe mental health conditions (e.g., moderate-severe depression, psychosis).
    7. Are participating in another behaviour-change or weight-related study.
    8. Are unwilling to receive WhatsApp messages
    9. Are unwilling to receive genetic information This will be checked with PARQ questionnaire

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Static personalisation

All participants receive a fully personalised dietary and lifestyle plan based on:

  • baseline lifestyle and diet
  • health status
  • environmental context
  • genetic polymorphisms (e.g., FTO, APOA2, TCF7L2, CLOCK, TMPRSS6, FADS1/2, MTNR1B, CYP1A2, taste receptors) This ensures that both study arms receive personalised nutrition, reflecting current best practice.

Participants receive:

  • One fixed daily behaviour goal, aligned with the weekly pillar
  • Personalised only according to diet, lifestyle, health status and genetics
  • Delivered at a pre-selected time chosen by the participant (e.g., 8:30-10:00)

No adaptation is made based on:

  • psychological traits
  • daily mood/energy
  • anticipated or reported barriers
  • communication preferences (tone, length, mode) This reflects current "gold standard" personalised nutrition: personalised by biology and lifestyle, but not by psychology or dynamic states.

Participants receive:

  • One fixed daily behaviour goal, aligned with the weekly pillar
  • Personalised only according to diet, lifestyle, health status and genetics
  • Delivered at a pre-selected time chosen by the participant (e.g., 8:30-10:00)

No adaptation is made based on:

  • psychological traits
  • daily mood/energy
  • anticipated or reported barriers
  • communication preferences (tone, length, mode) This reflects current "gold standard" personalised nutrition: personalised by biology and lifestyle, but not by psychology or dynamic states.
Experimental: Fully personalised

All participants receive a fully personalised dietary and lifestyle plan based on:

  • baseline lifestyle and diet
  • health status
  • environmental context
  • genetic polymorphisms (e.g., FTO, APOA2, TCF7L2, CLOCK, TMPRSS6, FADS1/2, MTNR1B, CYP1A2, taste receptors) This ensures that both study arms receive personalised nutrition, reflecting current best practice.

Participants receive the same nutritional and lifestyle content, but daily goals are adapted based on:

Stable Traits

  • Big Five personality
  • Health locus of control
  • Optimism bias
  • Delay discounting
  • Self-determination
  • Stress/anxiety baseline
  • Habit awareness
  • Values/motivations
  • Reward preferences Daily State
  • Morning energy rating (1-5)
  • Expected barriers
  • Context (home vs office vs weekend) Communication Preferences
  • tone (coachy, compassionate, factual, brief)
  • message length (low/medium/high)
  • mode (text, voice, image) Environmental and Social Context (e.g., Friday office snacks, partner-driven late dinners)

Participants receive the same nutritional and lifestyle content, but daily goals are adapted based on:

Stable Traits

  • Big Five personality
  • Health locus of control
  • Optimism bias
  • Delay discounting
  • Self-determination
  • Stress/anxiety baseline
  • Habit awareness
  • Values/motivations
  • Reward preferences Daily State
  • Morning energy rating (1-5)
  • Expected barriers
  • Context (home vs office vs weekend) Communication Preferences
  • tone (coachy, compassionate, factual, brief)
  • message length (low/medium/high)
  • mode (text, voice, image) Environmental and Social Context (e.g., Friday office snacks, partner-driven late dinners)

Daily personalisation influences:

  • difficulty level of the daily goal
  • specific behaviour change technique (BCT) chosen (e.g., action planning vs implementation intention vs coping planning)
  • tone, structure and timing of the message
  • reinforcement style The nutrition content remains identical; only HOW it is delivered changes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adherence
Time Frame: From enrolment to the end of the 6 week intervention
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 13, 2026

Primary Completion (Estimated)

June 1, 2026

Study Completion (Estimated)

June 1, 2026

Study Registration Dates

First Submitted

January 23, 2026

First Submitted That Met QC Criteria

February 9, 2026

First Posted (Actual)

February 12, 2026

Study Record Updates

Last Update Posted (Actual)

May 1, 2026

Last Update Submitted That Met QC Criteria

April 27, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • SMU_ETHICS_2025-26_195

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

The findings will be used to develop a commercial App for dietary behaviour change

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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