Associations Between the Gut Microbiota and Internalizing Behaviors in Preschool Children
Bibliographic record
Abstract
OBJECTIVE: Emerging evidence points toward a connection between mental health and the gut microbiota and its metabolites (e.g., short-chain fatty acids). It is unknown whether the gut microbiota is associated with the development of mental health problems (e.g., internalizing or externalizing behaviors) in preschool children. The objective of this study was to evaluate associations between the gut microbiota and internalizing and externalizing behaviors in preschool-aged children. METHODS: A community sample of 248 typically developing children (3-5 years of age) provided a stool sample for gut microbiota and SCFA analysis. Parents reported child internalizing and externalizing behaviors using the Child Behavior Checklist. Associations between child behaviors and gut microbiota measures were analyzed using Spearman correlations followed by an adjustment for multiple testing, with subanalysis conducted in children clinically "at risk" for behavioral problems compared with those who were not. RESULTS: There was a correlation between Shannon alpha diversity with internalizing behaviors (rs = -0.134, p = .035) and its subscale somatic complaints (rs = -0.144, p = .023). In addition, children clinically "at risk" for internalizing problems had decreased alpha diversity (U = 551, p = .017). Internalizing behaviors correlated with valerate and isobutyrate (rs = -0.147, p = .021; rs = -0.140, p = .028, respectively). Furthermore the somatic complaints subscale additionally correlated with acetate and butyrate (rs = -0.219, p = .001; rs = -0.241, p < .001, respectively). These findings were also present in children "at risk" for internalizing problems (U = 569, p = .026; U = 571, p = .028) and somatic complaints (U = 164, p = .004; U = 145, p = .001). CONCLUSIONS: These analyses reveal novel associations between internalizing behaviors and the gut microbiota in preschool children. Furthermore, a relationship between somatic complaints and acetate and butyrate was identified, indicating that interventions that increase SCFA production warrant future investigation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".