1256
twierdzeń w rejestrze
459
opracowań badawczych
548
Dowodów empirycznych (FACT)
52
Granic wiedzy / niepewności
Dowód empiryczny (Dane ze źródła)
Dietary patterns and emotion dysregulation in borderline personality disorder and eating disorders as a shared mechanism underlying symptom severity.
Obserwacyjne
DOI: 10.1038/s41598-026-36068-2
„BPD symptom checklist scores differed markedly across the four groups.”
Wniosek pośredni / Interpretacja
Dietary patterns and emotion dysregulation in borderline personality disorder and eating disorders as a shared mechanism underlying symptom severity.
Obserwacyjne
DOI: 10.1038/s41598-026-36068-2
„Mediation analyses indicated indirect pathways through emotion dysregulation.”
Niepewność / Granica dowodu
Dietary patterns and emotion dysregulation in borderline personality disorder and eating disorders as a shared mechanism underlying symptom severity.
Obserwacyjne
DOI: 10.1038/s41598-026-36068-2
„The cross-sectional design prevents causal conclusions.”
Dowód empiryczny (Dane ze źródła)
Adult life outcomes for adolescents 12.4 years after dialectical behavior therapy - a randomized clinical trial.
RCT
DOI: 10.1007/s00787-025-02856-w
„W końcowym pomiarze nie stwierdzono istotnych różnic między grupami w nasileniu myśli samobójczych, objawów borderline ani depresji ocenianej przez klinicystę.”
Dowód empiryczny (Dane ze źródła)
Psychological correlates of nonsuicidal self-injury in women with borderline personality disorder: a cross-sectional study to inform mindfulness-based interventions.
Obserwacyjne
DOI: 10.1186/s12888-025-07740-0
„The sample consisted of 109 women with BPD, with 51.37% reporting multimethod NSSI.”
Dowód empiryczny (Dane ze źródła)
Psychological correlates of nonsuicidal self-injury in women with borderline personality disorder: a cross-sectional study to inform mindfulness-based interventions.
Obserwacyjne
DOI: 10.1186/s12888-025-07740-0
„No significant bivariate correlations emerged for NSSI frequency or number of methods.”
Dowód empiryczny (Dane ze źródła)
Psychological correlates of nonsuicidal self-injury in women with borderline personality disorder: a cross-sectional study to inform mindfulness-based interventions.
Obserwacyjne
DOI: 10.1186/s12888-025-07740-0
„The final ordinal model was statistically significant: chi-square(3) = 12.529, p = .006.”
Dowód empiryczny (Dane ze źródła)
Psychological correlates of nonsuicidal self-injury in women with borderline personality disorder: a cross-sectional study to inform mindfulness-based interventions.
Obserwacyjne
DOI: 10.1186/s12888-025-07740-0
„Impulse, an adaptive CERQ factor and self-compassion remained significant in the final model.”
Niepewność / Granica dowodu
Psychological correlates of nonsuicidal self-injury in women with borderline personality disorder: a cross-sectional study to inform mindfulness-based interventions.
Obserwacyjne
DOI: 10.1186/s12888-025-07740-0
„The cross-sectional observational design does not support causal inference.”
Dowód empiryczny (Dane ze źródła)
Adult life outcomes for adolescents 12.4 years after dialectical behavior therapy - a randomized clinical trial
RCT
DOI: 10.1007/s00787-025-02856-w
„final sample ... 77 participants (12–18 years) ... randomized”
Dowód empiryczny (Dane ze źródła)
Adult life outcomes for adolescents 12.4 years after dialectical behavior therapy - a randomized clinical trial
RCT
DOI: 10.1007/s00787-025-02856-w
„significant time*treatment interactions ... all in favor of DBT-A”
Dowód empiryczny (Dane ze źródła)
Adult life outcomes for adolescents 12.4 years after dialectical behavior therapy - a randomized clinical trial
RCT
DOI: 10.1007/s00787-025-02856-w
„no ... long-term trend differences in these outcomes”
Wniosek pośredni / Interpretacja
Adult life outcomes for adolescents 12.4 years after dialectical behavior therapy - a randomized clinical trial
RCT
DOI: 10.1007/s00787-025-02856-w
„Self-harm frequency was consistently lower throughout this long follow-up period ... whereas there were no significant long-term trend differences in these outcomes”
Dowód empiryczny (Dane ze źródła)
Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.
Obserwacyjne
DOI: 10.1038/s41598-025-34644-6
„The online sample included 709 participants; 15 non-binary participants were excluded from gender-controlled analyses.”
Dowód empiryczny (Dane ze źródła)
Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.
Obserwacyjne
DOI: 10.1038/s41598-025-34644-6
„Depressive symptoms correlated strongly with emotional stability and primitive defenses.”
Dowód empiryczny (Dane ze źródła)
Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.
Obserwacyjne
DOI: 10.1038/s41598-025-34644-6
„Identity diffusion and fear of fusion showed strong positive associations with depressive symptoms.”
Dowód empiryczny (Dane ze źródła)
Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.
Obserwacyjne
DOI: 10.1038/s41598-025-34644-6
„Multiple mediation was estimated with 5000 bootstrap resamples.”
Niepewność / Granica dowodu
Structural features of borderline personality organization mediate the links between personality traits and depressive symptoms.
Obserwacyjne
DOI: 10.1038/s41598-025-34644-6
„The authors identify cross-sectional and convenience-sampling limitations and call for longitudinal clinical samples.”
Dowód empiryczny (Dane ze źródła)
An evidence-based integrated process framework of borderline personality disorder clinical features: Insights from the general population.
Obserwacyjne
DOI: 10.1016/j.jad.2025.121148
„The general-population sample included 694 adults.”
Dowód empiryczny (Dane ze źródła)
An evidence-based integrated process framework of borderline personality disorder clinical features: Insights from the general population.
Obserwacyjne
DOI: 10.1016/j.jad.2025.121148
„Emotional dysregulation showed the strongest predictive contribution across the model.”