ArticlemHealth2023
The Baby Bites Text Messaging Project with randomized controlled trial: texting to improve infant feeding practices.
Article in mHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 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
3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.
- The Effectiveness of Parent-Targeted Digital Health Interventions on Breastfeeding Practices: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Digital Interventions Targeting Parents to Improve Early Childhood Movement, Nutrition, and Sleep Behaviors: Systematic Review.Journal of medical Internet research · 2026Pooled it
- The Association Between the Early Introduction of Solid Food and Childhood Obesity Risk: A Systematic Review.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Rapid weight gain and overweight in infancy are associated with childhood obesity. Thus, effective, accessible interventions to promote healthy infant feeding practices to prevent early obesity are essential. Methods: This mixed-methods study involved diverse parents of infants in an urban, low-income pediatric clinic. Qualitative interviews explored parental attitudes towards feeding, early obesity, and communication with the pediatrician. A pilot, randomized controlled trial (RCT) informed by feedback provided by clinic parents compared text messages delivered for 12 months promoting healthy feeding practices to usual care to prevent early pediatric obesity. A computer-generated randomization schedule with balanced distribution for sex was used to place infants into groups. Weight-for-length percentiles and z-scores and feeding practices were measured at 0-2 weeks (baseline), 2-4 months, 6-9 months, and 12 months. Interviews were recorded, transcribed, and coded using thematic analysis. Weight for length percentile, Weight for length z scores, and feeding practices were compared between groups using repeated measures mixed analysis of variance (ANOVA). Results: Participants in the interviews were 15 parents of infants less than 1 month old. RCT participants were 38 parents of newborns (17 control; 21 intervention). Most parents in the qualitative evaluation viewed breastfeeding positively but also discussed barriers. Most also wanted practical information regarding infant feeding. There were no differences in weight-for-length percentile (F=0.52; P=0.60) or z-scores (F=0.7922; P=0.79), breastfeeding persistence χ Conclusions: Text messaging has potential to extend the healthcare provider's communication beyond clinic. However, texting interventions should be flexible to mitigate barriers such as loss of phone service and challenges customizing messages to parent needs.
Indexed as
Identifiers
What OpenQuestion holds
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.