Transgender and gender diverse (TGD) individuals are disproportionately exposed to traumatic and high-impact minority stressors which can produce an array of transdiagnostic symptoms. Some clinical presentations align well with established evidence-based treatments, but others may require patient-centered modifications or combined approaches to address treatment needs. In this study, we employed a novel, bottom-up approach to derive insights into preferred intervention strategies for a broad range of trauma- and TGD-minority stress-related expressions of clinical distress. Participants (18 TGD individuals, 16 providers) completed a q-sort task by first sorting cards featuring traumatic experiences and/or minority stressors and transdiagnostic psychiatric symptoms into groups based on perceived similarity. Next, participants sorted interventions they believed to be most relevant for addressing these concerns/symptoms. We overlayed networks of stressors and symptoms with intervention networks to evaluate preferred intervention strategies. TGD networks revealed transdiagnostic clustering of intervention strategies and uniquely positioned the expectancy of future harm as a traumatic stressor. Provider networks were more granular in structure; both groups surprisingly emphasized the role of self-defense as intervention. While both networks had high overlap, their discrepancies highlight patient perspectives that practical, material, and structural changes should occur alongside traditional clinical interventions.
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http://dx.doi.org/10.1037/sgd0000705 | DOI Listing |
Epigenomics
January 2025
Department of Anthropology, University of California San Diego, La Jolla, CA, USA.
The U.S. Developmental Origins of Health and Disease (DOHaD) meeting is an annual conference of primarily U.
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Accurate quantitative assessments are crucial to understanding development of diseases and their effective treatments. Various validated perimetry and volumetry measurement methods for patients with lymphedema exist and each has its own advantages and limitations and choosing the right instrument is essential. PeriKit® (PK) is a new measurement device that requires validation.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
School of Chemistry, The University of New South Wales, Sydney, NSW 2052, Australia.
A systematic series of QM cluster models has been developed to predict the trend in the carbonic anhydrase binding affinity of a structurally diverse dataset of ligands. Reference DLPNO-CCSD(T)/CBS binding energies were generated for a cluster model and used to evaluate the performance of contemporary density functional theory methods, including Grimme's "3c" DFT composite methods (rSCAN-3c and ωB97X-3c). It is demonstrated that when validated QM methods are used, the predictive power of the cluster models improves systematically with the size of the cluster models.
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