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Rethinking Group Differences in Psychopathology Networks: A Slow–Fast Perspective on Context and Symptom Activation

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Groups differing in social and economic circumstances often differ markedly in depressive symptom levels while their estimated symptom-network structures show few clear differences. Null results in network comparisons are interpreted as if indicating that the two groups' symptom systems are the same. However, it only indicates that no difference is detected in the interactions between symptoms. How readily symptoms become present, and how that may depend on the contextual conditions under which symptoms are observed, is rarely compared. Building on a slow--fast perspective, we conceptualize depressive symptoms as a relatively fast-changing system embedded in more persistent social, economic, psychosocial, health, and lifestyle conditions that shape symptom activation.Using a cohort of 23,689 adults from Amsterdam, we illustrate this perspective with depressive symptoms measured by the PHQ-9 and a composite index of slow-layer contextual conditions, which we call {\em Slow Risk Load} (SRL), capturing persistent socioeconomic, psychosocial, and health-related conditions. Participants with High SRL showed substantially higher depressive symptom levels than those with Low SRL. A standard Network Comparison Test did not detect an overall difference in network structure between the groups, although global strength was modestly higher in the High SRL group.Ising models, which separate how symptoms co-occur from how readily each becomes present, indicate that activation is higher under high SRL for eight of nine symptoms, and model comparison consistently favored group-specific activation over group-specific interactions.The slow--fast perspective reframes group network comparisons as a problem spanning multiple time scales in which symptom-network structure, symptom activation, and contextual conditions should be considered jointly. It places symptom-focused and context-focused interventions at different layers of the same coupled system rather than in competition.

Sujets associés

Mental Health Research TopicsFunctional Brain Connectivity StudiesComplex Network Analysis Techniques

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