Anthropometric Outcomes of a Mobile Health Intervention for Eating Behaviour and Lifestyle in Infancy
NCT ID: NCT06457750
Last Updated: 2025-09-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
440 participants
INTERVENTIONAL
2025-11-01
2026-12-30
Brief Summary
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Detailed Description
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Existing infant care models undervalue the importance of establishing healthy lifestyle behaviours and optimal eating outcomes for infants and toddlers. Furthermore, there is a gap between what is known to increase a child's risks of developing non-communicable diseases as an adult, and what caregivers understand about optimizing their child's health. Addressing this unmet need requires innovative and sustainable intervention approach to apply for the general public. Digital technologies possess immense potential for advancing health promotion and public health initiatives, maximizing community outreach and engagement. The investigators have developed an innovative digitalized tool, called Feeding, Lifestyle, Activity Goals (FLAGs) to assess lifestyle and feeding behaviours of young children from birth to age 2. FLAGs provides performance evaluation, guidance, and tailored advice for parents on ideal practices specific to their children. This digital application can be easily administered right via computers or smart devices from birth. FLAGs has undergone content and expert validations by eight domain experts from primary and tertiary healthcare settings, receiving positive evaluations regarding tool validity through high scores on the scale content validity index and agreement test.
The investigators' goal is to establish healthy lifestyle behaviours in infants, leading to improved health outcomes in early years. The overall objective of this proposed study is to determine the effects of FLAGs intervention on infant's lifestyle behaviours, growth, and metabolic health outcomes. The central hypothesis is that infants whose caregivers are exposed to FLAGs intervention will exhibit healthier lifestyle behaviours, leading to optimal physical growth and metabolic health status at 12 months of age, compared to those without FLAGs intervention. To test the hypothesis, a prospective, two-arm, randomized controlled trial will be conducted, recruiting 440 infant-caregiver pairs with a 1-year follow-up from KK Women's and Children's Hospital. Participants in the intervention arm will be exposed to FLAGs over a 1-year period. The specific aims are as follows:
Aim 1: To determine usability, acceptability, and feasibility of the FLAGs digital tool by conducting a pilot phase study. From results of this pilot phase study, further refinement to the application's content, user interface, and features will be performed before proceeding on to determine its efficacy.
Aim 2: To examine the effect of FLAGs intervention on infant body mass index, weight for length, and body composition at 12 months of age. The investigators hypothesize that after 12 months of FLAGs intervention, infants will demonstrate lower body mass index, weight for length, and reduced body fat as measured by skinfold thickness and body fat percentage at 12 months of age.
Aim 3: To examine the effect of FLAGs intervention on infant's lifestyle and eating behaviours at 12 months of age. The investigators hypothesize that infants randomised to the FLAGs intervention arm will demonstrate significantly healthier lifestyle behaviour, as indicated by a higher total FLAGs score, along with healthier eating habits, compared to those randomised to the control arm without FLAGs intervention. The total FLAGs score will be derived from the summation scores of the infant eating, sleeping, and activity domains in the FLAGs tool. Eating habits will be measured using established and validated questionnaires.
This proposed study will demonstrate the benefits of using FLAGs, a digital assessment and advisory tool to shape an infant's behaviour and early health outcomes, thereby highlighting its importance to be integrated into current models of paediatric healthcare.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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Intervention Arm (Exposed to FLAGs Digital Health Application)
Participants 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.
Feeding, Lifestyle, Activity Goals (FLAGs) Digital Health Application
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.
Control Arm
Participants 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.
No interventions assigned to this group
Interventions
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Feeding, Lifestyle, Activity Goals (FLAGs) Digital Health Application
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
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Inclusion Criteria
* 34-36 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.
Exclusion Criteria
* 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
ALL
Yes
Sponsors
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KK Women's and Children's Hospital
OTHER_GOV
Responsible Party
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Daniel Chan
Consultant
Locations
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KK Women's and Children's Hospital
Singapore, Singapore, Singapore
Countries
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Central Contacts
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Facility Contacts
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References
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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.
Singh 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.
Scott 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.
Kouvari 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.
Tanrikulu 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.
Chan 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.
Other Identifiers
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AM/TP081/2024 (SRDUKAMR2481)
Identifier Type: -
Identifier Source: org_study_id
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