Character strengths, psychological distress, anxiety, and depression in adolescents and young adults with gynecologic cancer: A network analysis.
In a cross-sectional network analysis of 271 adolescents and young adults diagnosed with gynecologic cancer, Curiosity and Zest emerged as candidate character-strength nodes associated with depression and psychological distress, respectively, with hypothetical simulations favoring Curiosity for the largest model-implied outcome reduction.
Open original publication →What the AI sees
In a cross-sectional network analysis of 271 adolescents and young adults diagnosed with gynecologic cancer, Curiosity and Zest emerged as candidate character-strength nodes associated with depression and psychological distress, respectively, with hypothetical simulations favoring Curiosity for the largest model-implied outcome reduction.
Research significance
The evidence shows conditional, model-dependent associations rather than intervention effects; it supports the hypothesis that psychosocial interventions designed to strengthen Curiosity or Zest might reduce depression or distress, but this requires longitudinal validation and prospective intervention testing.
Source abstract
OBJECTIVE: Adolescents and young adults with gynecologic cancer face distinctive psychosocial challenges. We examined associations between character strengths and psychological distress, anxiety, and depression and identified candidate strength-related nodes for future psychosocial research. METHODS: This cross-sectional study included 271 participants diagnosed with gynecologic cancer during adolescence or young adulthood. Gaussian graphical models estimated conditional associations and central and bridge nodes. Bayesian networks explored directed probabilistic dependencies under theory-constrained and unconstrained specifications. In silico simulations estimated model-implied outcome changes following hypothetical 1-standard deviation (SD) increases in individual character strengths. RESULTS: The prespecified character-strength and psychological-outcome communities showed dense within-community and sparse between-community connections. Leadership, Creativity, Curiosity, and Teamwork had the highest strength centrality among character strengths. Psychological distress had the highest bridge strength among psychological-outcome nodes (0.148); Curiosity and Zest had the highest bridge strengths among character-strength nodes (both = 0.112). Results were similar after covariate adjustment. The theory-constrained and unconstrained Bayesian networks each retained 31 directed edges, 28 of which overlapped. The Curiosity-depression dependency was retained in both models, whereas the orientation of the Zest-distress dependency varied by model specification. A hypothetical 1-SD increase in Curiosity corresponded to the largest model-implied decrease in overall outcome severity (-0.230 SD), including depression (-0.306 SD); the model-implied change for Zest was primarily observed for distress (-0.123 SD). CONCLUSIONS: Curiosity and Zest were candidate strength-related nodes with distinct, model-dependent associations with psychological outcomes. These hypothesis-generating findings require confirmation in longitudinal and intervention studies before clinical application.