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Record W4413100972 · doi:10.1002/cl2.70059

The Efficacy of Nutritional Interventions in Reducing Childhood/Youth Aggressive and Antisocial Behavior: A Mixed‐Methods Systematic Review and Meta‐Analysis

2025· review· en· W4413100972 on OpenAlexafffund
Barna Konkolÿ Thege, Lujayn Mahmoud, Eden Kinzel, Rameen Qamar, Jamie Hartmann‐Boyce, Olivia Choy

Bibliographic record

VenueCampbell Systematic Reviews · 2025
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWaypoint Centre for Mental Health CareUniversity of Toronto
FundersUniversity of CanterburyUniversity of TorontoJohns Hopkins UniversityOhio State University
KeywordsPsychological interventionPsychologyMeta-analysisClinical psychologyDevelopmental psychologyMedicinePsychiatry

Abstract

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ABSTRACT Aggressive/antisocial behaviors in children and youth may result in impairments in family, social, or academic functioning and lead to long‐term negative consequences for both the individual and society as a whole. The potential of healthy diet and nutritional supplements to reduce aggression and antisocial behavior is an active area of study in nutritional mental health sciences. The goal of this systematic review is to (1) investigate the effectiveness/efficacy of nutritional interventions (dietary manipulation, fortification or supplementation) in reducing excessive aggression, antisocial behaviors, and criminal offending in children/youth (systematic review and meta‐analysis); and (2) provide an overview of implementation barriers and facilitators regarding nutritional interventions in children/youth (qualitative/narrative synthesis). After consulting the Campbell Collaboration's methodological guidelines, a comprehensive search for published and unpublished papers on controlled intervention studies was performed (up to February 26, 2024) using both electronic databases (MEDLINE, Embase, Cochrane Library, APA PsycInfo, Scopus, and the Allied and Complementary Medicine Database) and other resources (e.g., Google Scholar, reference list of included studies and other reviews, websites of public health agencies). This study focuses on children and youth (up to the age of 24) presenting with an above‐average level of aggression/antisocial behavior. In terms of the intervention, we considered both dietary manipulation and nutritional supplementation with a duration long enough (minimum of 1 week) that a significant change in the individual's nutritional status could be expected. We included studies with a controlled design if, for outcomes, they reported on (1) behavioral‐level violence/aggression toward others in real‐life (non‐simulated) settings, (2) antisocial behaviors, or (3) criminal offending. Initial screening, checking for eligibility criteria, data extraction from, and risk of bias assessment for each eligible study were conducted independently by two reviewers. To perform the meta‐analysis, data from each original report were standardized (transformed into Hedges' g ) so that results across studies could be meaningfully combined and interpreted. Data conversions, computation of pooled effect sizes, and estimation of publication bias were conducted using the Comprehensive Meta‐analysis software (Version 4). Altogether, 51 reports (describing 50 individual studies) met our inclusion criteria, and 72 effect sizes were extracted from these reports. Nutritional interventions with a broad target (e.g., broad‐spectrum micronutrient supplementation or general improvement in diet quality) had the most consistent and largest intervention benefit across all outcomes (aggression: k = 7, N = 797, g = −0.31, 95% CI = −0.50 to −0.12, p = 0.001; antisocial behavior: k = 13, N = 2109, g = −0.49, 95% CI = −0.73 to −0.24, p < 0.001; criminal offending: k = 2, N = 117, g = −1.25, 95% CI = −2.39 to −0.11, p = 0.031). These intervention benefits range from small (aggression) through medium (antisocial behavior) to large (offending), and for each outcome, dietary change was considerably more effective than supplementation. Eliminating studies with high risk of bias reduced the treatment benefit to close to zero regarding aggression and small in relation to antisocial behaviors. The most commonly studied narrow‐focused nutritional intervention was omega‐3 fatty acid supplementation with a small, beneficial effect and with less consistency in statistical reliability across outcomes (aggression: k = 9, N = 706, g = −0.33, 95% CI = −0.87 to 0.22, p = 0.240; antisocial behavior: k = 21, N = 2,081, g = −0.15, 95% CI = −0.26 to −0.03, p = 0.013). Eliminating studies with a high risk of bias did not change the small effect size related to aggression, but further reduced the negligibly small effect size regarding antisocial behavior. Pooled effect size for vitamin D supplementation showed small‐to‐moderate treatment benefit in terms of antisocial behaviors ( k = 4, N = 226, g = −0.48, 95% CI = −0.74 to −0.22, p < 0.001). Elimination of studies with a high risk of bias reduced the effect size from moderate to small. The overall number of and sample size in some of the studies limit our confidence in the validity of the above meta‐analytic results. Further, prediction intervals always included the possibility of no effect, suggesting considerable heterogeneity in the data. While there were several studies on other narrow‐focused nutritional interventions, these were not studied frequently enough to allow the generation of even preliminary meta‐analytic conclusions. A large set of barriers and facilitators to the implementation of nutritional interventions was also identified and narratively summarized. While the evidence on nutritional interventions to reduce aggression/antisocial behaviors is not conclusive, these interventions are safe (especially compared to psychotropic medications), easy‐to‐implement (especially nutritional supplements), and cheap (especially on the societal level). These characteristics make such interventions feasible and desirable, especially as their benefits are not aggression‐specific: good nutritional status is the basis for both physical and mental health in general; and therefore, investment in – especially broad‐spectrum – nutritional interventions seems warranted.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0150.005
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.127
GPT teacher head0.445
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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