Optimal exercise modalities and dose for enhancing intelligence in children and adolescents: a Bayesian network meta-analysis
Year: 2026
Type: article
Study designs: Systematic Review, Meta-Analysis
Abstract: Background: To compare the effects of various exercise modalities on intelligence and determine the optimal exercise dose for children and adolescents. Methods: A systematic review and Bayesian network meta-analysis following PRISMA guidelines was conducted. Four databases were searched up to 1 April 2025. Eligible RCTs involved participants aged 5-18 years and assessed exercise interventions with intelligence outcomes (general, fluid, or crystallized). Standardized mean differences (SMDs) with corresponding 95% confidence interval or credible intervals were calculated. Dose-response relationships were analyzed using model-based network meta-analysis. Results: Fifteen RCTs with 3,400 participants were included. Exercise was linked to small-to-moderate improvements in general (SMD = 0.59), fluid (SMD = 0.43), and crystallized intelligence (SMD = 0.64). Dual-task balance training (DTBT) produced the most consistent and significant benefits across all domains. Yoga and multi-component exercise also showed positive effects. Optimal outcomes were achieved with sessions lasting ≥117.7 min, three times weekly, totaling 220 min per week for at least 11.12 weeks. An inverted U-shaped dose-response curve indicated diminishing returns beyond the optimal frequency and duration. Conclusion: DTBT is the most effective exercise modality for improving intelligence in children and adolescents. The findings provide evidence-based guidance for designing school and clinical exercise programs to support cognitive development during growth.
Source: Frontiers in Physiology
Authors: Yan Wang, Junyu Wang, Lin Zhang, Chengji Wang, Guotuan Wang, Changdong Li, Yuan Yuan, Bopeng Qiu, Yong Yang
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7124269757
