ArticleFrontiers in psychology2026
Mapping the behavioral-affective network of physical activity and aggressive behavior among adolescents: a network and Bayesian graph analysis.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Physical activity and aggression are important topics in adolescent psychology, but item-level links between physical activity (PA) and aggressive behavior (AGG) remain unclear. Methods: This cross-sectional study analyzed 1,276 Chinese secondary school students using standardized PA and AGG questionnaires. Regularized partial-correlation networks, expected-influence indices, network intervention response analysis, and Bayesian directed acyclic graphs were used to examine conditional dependency patterns. Results: The undirected network showed strong within-domain aggression dependencies and relatively sparse, weak PA-AGG cross-domain edges. Anger-related items (AGG14, AGG17, AGG15) and one physical-aggression item (AGG3) showed high expected influence. Network intervention response analysis indicated asymmetric activation patterns, and the Bayesian DAG placed anger-related items in upstream dependency positions. Conclusion: PA and AGG were relatively separate at the component level, while anger-related aggression items were central within the aggression system. Because data were cross-sectional, directed edges should be interpreted as exploratory conditional dependencies rather than causal or temporal pathways.
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