ArticleJMIR mHealth and uHealth2018
Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 5 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Mobile applications for promoting and supporting breastfeeding: Systematic review and meta-analysis.Maternal & child nutrition · 2025Pooled it
- Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population.The Cochrane database of systematic reviews · 2021Pooled it
- Process evaluations of early childhood obesity prevention interventions delivered via telephone or text messages: a systematic review.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review.Journal of medical Internet research · 2020Pooled it
- A systematic evaluation of digital nutrition promotion websites and apps for supporting parents to influence children's nutrition.The international journal of behavioral nutrition and physical activity · 2020Pooled it
- Baby-Feed Pilot Trial for Improving Diet and Weight Gain in Infants and Toddlers.Maternal and child health journal · 2026Trial
- The Impact of Dose in an mHealth Intervention to Support Parents and Carers Via Healthy Beginnings for Hunter New England Kids Program: Pragmatic Randomized Controlled Trial.JMIR formative research · 2025Trial
- A Mobile-Based Approach to Enhance Knowledge of Infant and Young Child Feeding Among Teenage Mothers in Nigeria: A Randomized Controlled Trial.Nutrients · 2025Trial
- Effectiveness and Implementation of a Text Messaging mHealth Intervention to Prevent Childhood Obesity in Mexico in the COVID-19 Context: Mixed Methods Study.JMIR mHealth and uHealth · 2024Trial
- Effectiveness of a Mobile App (KhunLook) Versus the Maternal and Child Health Handbook on Thai Parents' Health Literacy, Accuracy of Health Assessments, and Convenience of Use: Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Mapping intervention components from a randomized controlled trial to scale-up of an early life nutrition and movement intervention: The INFANT program.Frontiers in public health · 2022Trial
- Process and effect evaluation of the app-based parenting programFrontiers in public health · 2022Trial
- Improving Breastfeeding by Empowering Mothers in Vietnam: A Randomised Controlled Trial of a Mobile App.International journal of environmental research and public health · 2020Trial
- A Qualitative Evaluation of Eat, Learn, Grow: A Digital Microlearning Programme to Promote Responsive Feeding Practices.Maternal & child nutrition · 2026Article
- Practicality of the My Baby Now App for Fathers by Fathers: Qualitative Case Study.JMIR pediatrics and parenting · 2025Article
- Article
- The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app.Maternal & child nutrition · 2024Article
- Article
- A Mobile Gaming App to Train Teenage Mothers on Appropriate Child Feeding Practices: Development and Validation Study.Journal of medical Internet research · 2024Article
- Interactive Malaysian Childhood Healthy Lifestyle (i-MaCHeL) programme: a single-arm pilot study.Pilot and feasibility studies · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe first year of life is an important window to initiate healthy infant feeding practices to promote healthy growth. Interventions delivered by mobile phone (mHealth) provide a novel approach for reaching parents; however, little is known about the effectiveness of mHealth for child obesity prevention.
objectiveThe objective of this study was to determine the feasibility and effectiveness of an mHealth obesity prevention intervention in terms of reach, acceptability, and impact on key infant feeding outcomes.
methodsA quasi-experimental study was conducted with an mHealth intervention group (Growing healthy) and a nonrandomized comparison group (Baby's First Food). The intervention group received access to a free app and website containing information on infant feeding, sleep and settling, and general support for parents with infants aged 0 to 9 months. App-generated notifications directed parents to age-and feeding-specific content within the app. Both groups completed Web-based surveys when infants were less than 3 months old (T1), at 6 months of age (T2), and 9 months of age (T3). Survival analysis was used to examine the duration of any breastfeeding and formula introduction, and cox proportional hazard regression was performed to examine the hazard ratio for ceasing breast feeding between the two groups. Multivariate logistic regression with adjustment for a range of child and parental factors was used to compare the exclusive breastfeeding, formula feeding behaviors, and timing of solid introduction between the 2 groups. Mixed effect polynomial regression models were performed to examine the group differences in growth trajectory from birth to T3.
resultsA total of 909 parents initiated the enrollment process, and a final sample of 645 parents (Growing healthy=301, Baby's First Food=344) met the eligibility criteria. Most mothers were Australian born and just under half had completed a university education. Retention of participants was high (80.3%, 518/645) in both groups. Most parents (226/260, 86.9%) downloaded and used the app; however, usage declined over time. There was a high level of satisfaction with the program, with 86.1% (143/166) reporting that they trusted the information in the app and 84.6% (170/201) claiming that they would recommend it to a friend. However, some technical problems were encountered with just over a quarter of parents reporting that the app failed to work at times. There were no significant differences between groups in any of the target behaviors. Growth trajectories also did not differ between the 2 groups.
conclusionsAn mHealth intervention using a smartphone app to promote healthy infant feeding behaviors is a feasible and acceptable mode for delivering obesity prevention intervention to parents; however, app usage declined over time. Learnings from this study will be used to further enhance the program so as to improve its potential for changing infant feeding behaviors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.