Anthropometric Outcomes of a Mobile Health Intervention for Eating Behaviour and Lifestyle in Infancy
Anthropometric and Body Composition Outcomes of a Mobile Health Intervention to Improve Eating Behaviours and Lifestyle Habits During Infancy
1 other identifier
interventional
440
1 country
1
Brief Summary
Lifestyle, activity, and feeding behaviours during early childhood set the foundation for subsequent lifelong metabolic health as an adult. The investigators have developed a digital tool, called Feeding, Lifestyle, Activity Goals (FLAGs) to assess lifestyle and feeding behaviours of young infants, simultaneously providing guidance and tailored advice for parents on ideal practices specific to their children. The investigators aim to assess its usability, acceptability, and feasibility , before proceeding to determine efficacy of the FLAGs intervention through conducting a randomized controlled trial, enrolling 440 infants from KK Women's and Children's Hospital. Half of them will receive standard routine infant care, whereas the other half will additionally receive the digital FLAGs assessment and advisory tool, complete with mobile nudges. The follow-up period will be over 12 months, with the main outcomes being i) indicators of good feeding and lifestyle behaviour at 12 months old, and ii) physical growth trends, body fat proportions. Demonstrating the benefits of using FLAGs will underscore the importance of integrating this digitalized tool into the screening and evaluation of well children, with the potential to be upscaled and adopted across hospitals, primary care, and community-based health programmes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Nov 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 30, 2024
CompletedFirst Posted
Study publicly available on registry
June 13, 2024
CompletedStudy Start
First participant enrolled
November 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
September 5, 2025
August 1, 2025
1.1 years
May 30, 2024
August 28, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Longitudinal growth trajectories and markers of infant metabolic health
Weight (kilograms)
12 months from recruitment
Longitudinal growth trajectories and markers of infant metabolic health
Length (meters)
12 months from recruitment
Longitudinal growth trajectories and markers of infant metabolic health
Body mass index (kg/m\^2) will be determined by taking the weight (kilograms) divided by the squared value of the length (meters).
12 months from recruitment
Longitudinal growth trajectories and markers of infant metabolic health
Weight for length percentile (%) will be determined using the WHO 2006 Child Growth Standards
12 months from recruitment
Longitudinal growth trajectories and markers of infant metabolic health
Body composition, using skinfold thickness measurements (centimeters)
12 months from recruitment
Secondary Outcomes (4)
Indicators of good feeding and lifestyle behaviour
12 months from recruitment
Indicators of good feeding and lifestyle behaviour
12 months from recruitment
Indicators of good feeding and lifestyle behaviour
12 months from recruitment
Indicators of good feeding and lifestyle behaviour
12 months from recruitment
Study Arms (2)
Intervention Arm (Exposed to FLAGs Digital Health Application)
EXPERIMENTALParticipants in the intervention group will have access to the FLAGs assessment tool together with the real-time feedback and advisory provided by the digital application, complete with mobile nudges.
Control Arm
NO INTERVENTIONParticipants in the control group will not have access to the FLAGs advisory and monitoring functions will not be made available on their digital application. Participants will not receive any automated notifications or nudges.
Interventions
Feeding, lifestyle, activity goals (FLAGs) is a digital assessment and advisory tool developed by the investigators to facilitate early identification of lifestyle behaviour problems and abnormal feeding patterns in infants, with real-time feedback for caregivers. The FLAGs questionnaire examines the domains of energy regulation, timeliness and adequacy of weaning, dietary practices, and lifestyle habits. Tailored recommendations have been developed for each domain accordingly. The objective of FLAGs is shaping healthy lifestyle and feeding behaviours from birth, charting a trajectory to optimal metabolic health.
Eligibility Criteria
You may qualify if:
- Women
- weeks' pregnant, or 3 days post-delivery.
- Pre-pregnancy BMI of at least 23 kg/m\^2, and/or with the diagnosis of gestational diabetes mellitus or type 2 diabetes mellitus.
You may not qualify if:
- Women less than 21 years old
- Unable to understand English
- Not planning to reside in Singapore until baby is at least 1 year old
- Premature birth of baby (defined as below 37 weeks' gestation)
- Birth of a baby with congenital abnormalities, physical or neurodevelopmental disabilities
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
KK Women's and Children's Hospital
Singapore, Singapore, 229899, Singapore
Related Publications (6)
NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017 Dec 16;390(10113):2627-2642. doi: 10.1016/S0140-6736(17)32129-3. Epub 2017 Oct 10.
PMID: 29029897BACKGROUNDSingh AS, Mulder C, Twisk JW, van Mechelen W, Chinapaw MJ. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. 2008 Sep;9(5):474-88. doi: 10.1111/j.1467-789X.2008.00475.x. Epub 2008 Mar 5.
PMID: 18331423BACKGROUNDScott JA. The first 1000 days: A critical period of nutritional opportunity and vulnerability. Nutr Diet. 2020 Jul;77(3):295-297. doi: 10.1111/1747-0080.12617. No abstract available.
PMID: 32478460BACKGROUNDKouvari M, Karipidou M, Tsiampalis T, Mamalaki E, Poulimeneas D, Bathrellou E, Panagiotakos D, Yannakoulia M. Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis. J Med Internet Res. 2022 Feb 14;24(2):e30675. doi: 10.2196/30675.
PMID: 35156934BACKGROUNDTanrikulu MA, Agirbasli M, Berenson G. Primordial Prevention of Cardiometabolic Risk in Childhood. Adv Exp Med Biol. 2017;956:489-496. doi: 10.1007/5584_2016_172.
PMID: 27864799BACKGROUNDChan D, Leong K, Ong C, Ku CW, Chan JKY, Chua MC, Yap F, Loy SL. Efficacy of a mobile app-based intervention to improve eating behaviours and lifestyle in infants of mothers with metabolic risk factors: study protocol of a randomised controlled trial. BMJ Open. 2025 Sep 30;15(9):e101684. doi: 10.1136/bmjopen-2025-101684.
PMID: 41033754DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Consultant
Study Record Dates
First Submitted
May 30, 2024
First Posted
June 13, 2024
Study Start
November 1, 2025
Primary Completion (Estimated)
December 1, 2026
Study Completion (Estimated)
December 30, 2026
Last Updated
September 5, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- Data will be available beginning 6 months after publication and for up to 5 years thereafter.
- Access Criteria
- Requests should be directed to the corresponding author (daniel.chan@duke-nus.edu.sg). Proposals must include a methodologically sound plan, and access will be granted for research aligned with the aims outlined in the approved proposal.
Deidentified individual participant data (IPD) underlying the published results will be made available on reasonable request from the corresponding author. Supporting documents, including the study protocol and statistical analysis plan, will also be shared.