作者
Suzanne J. Robberegt,C. J. ALBERS,Bas Kooiman,Anna H. Vuuregge,Joram D. Mul,Nineke Wilts,Maaike H. Nauta,Yvonne A. J. Stikkelbroek,Claudi Bockting
摘要
In network theory, symptoms of mental disorders constitute networks of interconnected nodes. Interventions can target (aspects of) networks. Assuming that combined intervention-modules target multiple aspects of networks simultaneously, we examined on average whether receiving more intervention-modules was associated with more baseline to post-intervention change in network characteristics. Between Dec-2019 and May-2024, 14-to-22-year-old individuals (89.8% female) remitted from depressive or anxiety disorders were randomized (1:1) to relapse prevention intervention-modules plus care as usual (M + CAU; n = 69), or CAU ( n = 68). Participants completed baseline and post-intervention ecological momentary assessment (EMA; 2 weeks, 6 × /day) to construct contemporaneous partial correlation networks of 11 nodes ( anxiety, sadness, positive affect, anger, stress, fatigue, suppression, avoidance, loneliness, activity, social company ). Based on a data-driven advice, including the baseline network, six intervention-modules were offered in personalized varying combinations (psychoeducation, cognitive restructuring, positive affect, exposure, activation, sleep, wellness, relapse prevention plan). Using 45 univariate regression analyses ( α = .05), associations were assessed between the number of completed intervention-modules (M[SD] = 4.29[1.70]; range = 0-6) and change in network density, and in intensity, instability, and centrality of 11 nodes. Randomization groups were compared using two-sample t-tests. Results indicated that after multiple testing correction, a higher number of intervention-modules was not associated with significant change in network characteristics. Changes in networks were neither different between randomization groups. Some characteristics showed non-robust, small associations with a higher number of intervention-modules: centrality of fatigue decreased ( n = 69; β = −0.061, 95%CI [-0.122,0.000], p = .037, η p 2 = 0.03), and network density decreased ( n = 69; β = −0.008, 95%CI [-0.015,0.000], p = .015, η p 2 = 0.05). Change in centrality of loneliness was positive in the M + CAU-group and negative in the CAU-group (t[130.33] = -2.47, p = .015, d = −0.42). In conclusion, after multiple testing correction, more intervention-modules were not associated with more change in network characteristics across individuals. This initial examination provides a starting point for replication in confirmatory analyses, and for better mechanistic understanding of network change to prevent relapse over time.