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Enregistrement 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 sur OpenAlexafffund
Barna Konkolÿ Thege, Lujayn Mahmoud, Eden Kinzel, Rameen Qamar, Jamie Hartmann‐Boyce, Olivia Choy

Notice bibliographique

RevueCampbell Systematic Reviews · 2025
Typereview
Langueen
DomainePsychology
ThématiqueChild and Adolescent Psychosocial and Emotional Development
Établissements canadiensWaypoint Centre for Mental Health CareUniversity of Toronto
Organismes subventionnairesUniversity of CanterburyUniversity of TorontoJohns Hopkins UniversityOhio State University
Mots-clésPsychological interventionPsychologyMeta-analysisClinical psychologyDevelopmental psychologyMedicinePsychiatry

Résumé

récupéré en direct d'OpenAlex

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 After consulting the Campbell Collaboration's methodological guidelines, a comprehensive search for published and unpublished papers on controlled intervention studies was performed (up to February 26, 2024) using both electronic databases (MEDLINE, Embase, Cochrane Library, APA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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,374
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0150,005
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,127
Tête enseignante GPT0,445
Écart entre enseignants0,318 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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