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Lower Severity, Denser Network: Profile-Specific Symptom Architecture in Adolescent Internalizing and Externalizing
Huina Teng1,2,3, Cui Zhou1, Yue Li4
1Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University, Ministry of Education, Guangzhou 510631, China.
Abstract:
Introduction: This study examined whether severity-defined profiles of internalizing and externalizing problems among Chinese adolescents differed in their symptom connectivity. Method: Participants were 1200 Chinese adolescents aged 9 to 15 years who were assessed in 2018 and 2022. Fourteen internalizing and externalizing problem items were analyzed. Latent profile analysis was used to obtain a coarse severity-based grouping at each wave, after which Gaussian graphical models were estimated within profiles. Profile networks were formally compared using permutation-based Network Comparison Tests, and robustness to the EBIC hyperparameter was examined across γ = 0, 0.25, and 0.50. Results: A two-profile solution was retained at each wave as an interpretable lower- versus higher-symptom partition with adequate group sizes. Formal comparisons showed greater global strength in the lower-symptom profile at both waves. Overall network structure differed significantly between profiles at Time 1 but not at Time 2. Several node strength differences were detected, although the exact ordering of central nodes was not uniformly robust across regularization settings. Conclusions: Severity-defined profiles differed reliably in overall symptom connectivity, whereas evidence for broader profile-specific network configurations was wave-specific. These cross-sectional network findings describe conditional association patterns and should be treated as hypothesis-generating rather than as evidence of causal mechanisms or optimal intervention targets.
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