Subtopic Deep Dive
Nutrient Intake in Children with Feeding Issues
Research Guide
What is Nutrient Intake in Children with Feeding Issues?
Nutrient Intake in Children with Feeding Issues evaluates dietary nutrient consumption and deficiencies in children exhibiting selective eating, particularly in autism spectrum disorders (ASD) and failure-to-thrive conditions, using methods like food frequency questionnaires and biomarker analysis.
Studies compare nutrient intake from food in children with ASD to typically developing peers, revealing shortfalls in vitamins, minerals, and fiber (Hyman et al., 2012, 248 citations). Food selectivity manifests as restricted food preferences, impacting overall nutrition (Marí-Bauset et al., 2013, 225 citations). Research links these issues to gastrointestinal disturbances and gut dysbiosis, with over 10 key papers since 2011.
Why It Matters
Assessing nutrient intake guides supplementation to prevent growth faltering and developmental delays in children with ASD and feeding issues. Hyman et al. (2012) showed children with ASD consume inadequate calcium, vitamin D, and fruits, risking bone health and immunity. Marí-Bauset et al. (2013) quantified food selectivity prevalence at 70%, informing targeted interventions. Monitoring via dietary recalls supports clinical management, reducing long-term health costs (Williams et al., 2011).
Key Research Challenges
Quantifying Selective Eating
Measuring precise food selectivity and its nutritional impact remains inconsistent across studies. Hyman et al. (2012) used 3-day food diaries but noted recall biases. Standardization of tools like food frequency questionnaires is needed for reliable comparisons.
Linking Gut Dysbiosis to Intake
Connecting microbiome alterations to nutrient absorption deficiencies is complex. Kang et al. (2013, 947 citations) found reduced Prevotella in ASD children, implying fermentation deficits. Longitudinal biomarker studies are scarce.
Longitudinal Deficiency Tracking
Tracking micronutrient status over time in feeding issue cohorts faces retention issues. Williams et al. (2011, 487 citations) identified mucosal dysbiosis affecting digestion, but few studies follow growth outcomes. Intervention trials lack sufficient power.
Essential Papers
Reduced Incidence of Prevotella and Other Fermenters in Intestinal Microflora of Autistic Children
Dae‐Wook Kang, Jin Gyoon Park, Zehra Esra Ilhan et al. · 2013 · PLoS ONE · 947 citations
High proportions of autistic children suffer from gastrointestinal (GI) disorders, implying a link between autism and abnormalities in gut microbial functions. Increasing evidence from recent high-...
Impaired Carbohydrate Digestion and Transport and Mucosal Dysbiosis in the Intestines of Children with Autism and Gastrointestinal Disturbances
Brent L. Williams, Mady Hornig, Timothy Buie et al. · 2011 · PLoS ONE · 487 citations
Gastrointestinal disturbances are commonly reported in children with autism, complicate clinical management, and may contribute to behavioral impairment. Reports of deficiencies in disaccharidase e...
The contribution of environmental exposure to the etiology of autism spectrum disorder
Sven Bölte, Sonya Girdler, Peter B. Marschik · 2018 · Cellular and Molecular Life Sciences · 483 citations
Autism spectrum disorder (ASD) is a neurodevelopmental condition of heterogeneous etiology. While it is widely recognized that genetic and environmental factors and their interactions contribute to...
Environmental toxicants and autism spectrum disorders: a systematic review
Daniel A. Rossignol, Stephen J. Genuis, Richard E. Frye · 2014 · Translational Psychiatry · 442 citations
The Gut Microbiota and Autism Spectrum Disorders
Qinrui Li, Ying Han, Angel Belle C. Dy et al. · 2017 · Frontiers in Cellular Neuroscience · 438 citations
Gastrointestinal (GI) symptoms are a common comorbidity in patients with autism spectrum disorder (ASD), but the underlying mechanisms are unknown. Many studies have shown alterations in the compos...
A prebiotic intervention study in children with autism spectrum disorders (ASDs)
Roberta Grimaldi, Glenn R. Gibson, Jelena Vulevic et al. · 2018 · Microbiome · 343 citations
Composition of Gut Microbiota in Children with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis
Lucía Iglesias‐Vázquez, Georgette Van Ginkel Riba, Victoria Arija et al. · 2020 · Nutrients · 318 citations
Background: Autism spectrum disorder (ASD) is a public health problem and has a prevalence of 0.6%–1.7% in children. As well as psychiatric symptoms, dysbiosis and gastrointestinal comorbidities ar...
Reading Guide
Foundational Papers
Start with Hyman et al. (2012) for direct nutrient intake comparisons in ASD; Kang et al. (2013) for gut microflora links to feeding; Williams et al. (2011) for dysbiosis and digestion impairments.
Recent Advances
Iglesias‐Vázquez et al. (2020, 318 citations) meta-analysis on ASD gut microbiota; Grimaldi et al. (2018, 343 citations) prebiotic study in ASD children.
Core Methods
Dietary assessment via 3-day recalls and FFQs (Hyman et al., 2012); 16S rRNA sequencing for microbiota (Kang et al., 2013); disaccharidase assays for digestion (Williams et al., 2011).
How PapersFlow Helps You Research Nutrient Intake in Children with Feeding Issues
Discover & Search
Research Agent uses searchPapers and exaSearch to find core papers like Hyman et al. (2012) on nutrient shortfalls in ASD children, then citationGraph reveals 248 citing works on feeding interventions, while findSimilarPapers uncovers related gut nutrition studies from Kang et al. (2013).
Analyze & Verify
Analysis Agent applies readPaperContent to extract dietary data tables from Hyman et al. (2012), runs runPythonAnalysis for statistical comparisons of nutrient intakes (e.g., t-tests on calcium levels), and uses verifyResponse (CoVe) with GRADE grading to assess evidence quality on deficiency risks.
Synthesize & Write
Synthesis Agent detects gaps like missing longitudinal data post-Hyman et al. (2012), flags contradictions between gut studies (Kang et al., 2013 vs. Williams et al., 2011), and Writing Agent employs latexEditText, latexSyncCitations for Hyman et al., and latexCompile to produce supplement recommendation reports with exportMermaid nutrient flow diagrams.
Use Cases
"Analyze nutrient deficits in ASD children from Hyman 2012 using stats."
Research Agent → searchPapers('Hyman 2012') → Analysis Agent → readPaperContent → runPythonAnalysis(pandas on intake tables, matplotlib deficit plots) → CSV export of vitamin shortfalls with p-values.
"Draft LaTeX review on food selectivity interventions citing Marí-Bauset."
Synthesis Agent → gap detection → Writing Agent → latexEditText(structure review) → latexSyncCitations(Marí-Bauset 2013 et al.) → latexCompile → PDF with bibliography.
"Find code for ASD dietary analysis models from recent papers."
Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo(gut microbiome sims) → githubRepoInspect → Python scripts for nutrient simulation from Williams 2011 data.
Automated Workflows
Deep Research workflow conducts systematic reviews by chaining searchPapers on 'ASD nutrient intake' for 50+ papers like Hyman et al. (2012), then citationGraph and GRADE grading for structured reports on deficiencies. DeepScan applies 7-step analysis with CoVe checkpoints to verify gut-nutrition links in Kang et al. (2013). Theorizer generates hypotheses on microbiome interventions from Williams et al. (2011) dysbiosis data.
Frequently Asked Questions
What defines nutrient intake assessment in this subtopic?
It involves comparing dietary recalls and biomarkers in children with ASD feeding issues to controls, identifying shortfalls in vitamins and minerals (Hyman et al., 2012).
What methods track nutrient intake?
Methods include 3-day food diaries, food frequency questionnaires, and plasma biomarkers for longitudinal monitoring (Hyman et al., 2012; Marí-Bauset et al., 2013).
What are key papers?
Hyman et al. (2012, 248 citations) on ASD nutrient intake; Kang et al. (2013, 947 citations) on gut microflora; Marí-Bauset et al. (2013, 225 citations) on food selectivity.
What open problems exist?
Challenges include standardizing selectivity measures and linking dysbiosis to deficiencies via long-term trials (Williams et al., 2011; Kang et al., 2013).
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