Trial reportObesity (Silver Spring, Md.)2025
Grocery intervention and DNA-based assessment to improve diet quality in pediatric obesity: a pilot randomized controlled study.
Trial report in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of dietary interventions on gut microbiota and related cardiometabolic changes in pediatric obesity: a systematic review and meta-analysis.Pediatric research · 2026Pooled it
- Gut microbiome-based interventions for the management of obesity in children and adolescents aged up to 19 years.The Cochrane database of systematic reviews · 2025Pooled it
- Gut Microbiome Responses to Nutritional and Lifestyle Interventions in Pediatric Obesity: A Systematic Review Toward Precision Nutrition.Children (Basel, Switzerland) · 2026Review
- Management of Childhood Obesity.International journal of molecular sciences · 2026Review
- Environmental Determinants of Pediatric Obesity: An Epidemiological Review.Epidemiologia (Basel, Switzerland) · 2026Review
- Precision nutrition through diet-gut microbiome interactions: Emerging insights driven by artificial intelligence, microbiome health metrics, and mechanistic modeling.Gut microbes reports · 2026Review
- Gut microbiota-immune crosstalk in childhood and adolescent obesity: mechanistic insights and therapeutic potential focused on short-chain fatty acids and emerging metabolites.Frontiers in microbiology · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
objectiveWe assessed the impact of a food-provisioning intervention on diet quality in children with obesity.
methodsParticipants (n = 33, aged 6-11 years) were randomly assigned to either usual care (intensive health behavior and lifestyle treatment) or intervention (usual care + food provisioning; high-fiber, low-dairy diet) for 4 weeks. The primary outcome was a change in child diet quality at Week 4. Secondary outcomes were changes in weight, food insecurity, gut microbiome composition (16S ribosomal RNA), and dietary intake, measured via an objective DNA-based biomarker (i.e., FoodSeq). Genomic dietary data were analyzed against a larger pediatric adolescent obesity cohort (n = 195, aged 10-18 years) from similar households.
resultsIntervention demonstrated changes across all assessed diet components and was more effective than usual care in increasing whole grain (β = 0.20, 95% CI: 0.05 to 0.34; p = 0.013) and fiber (β = 2.52, 95% CI: 1.28 to 3.76; p < 0.001) and decreasing dairy (β = -1.31, 95% CI: -2.02 to -0.60; p = 0.001). FoodSeq results, highly concordant with grocery orders (adjusted R
conclusionsOur study supports the potential of dietitian-guided food provisioning for improving diet quality in children with obesity and demonstrates an objective genomic approach for evaluating dietary shifts.
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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.