There is mounting evidence that cognitive behavioral therapy with a trauma focus (CBT-TF) delivered via guided internet-based self-help is noninferior to CBT-TF delivered face-to-face for individuals with posttraumatic stress disorder (PTSD) of mild-to-moderate severity. The availability of multiple evidence-based treatment options creates a need to determine predictors of outcome to enable clinicians to make informed treatment recommendations. We examined perceived social support as a predictor of treatment adherence and response among 196 adults with PTSD enrolled in a multicenter pragmatic randomized controlled noninferiority trial. Perceived social support was measured using the Multidimensional Scale of Perceived Social Support and PTSD was assessed using the Clinician-Administered PTSD Scale for DSM-5. Linear regression was used to explore the associations between different dimensions of perceived social support (i.e., from friends, family, and significant others) and posttraumatic stress symptoms (PTSS) at baseline. Linear and logistic regression were used to determine whether these dimensions of support predicted treatment adherence or response for either treatment modality. Lower baseline perceived social support from family was associated with higher levels of PTSS, B = -0.24, 95% CI [-0.39, -0.08], p = .003, but the same did not apply to social support from friends or significant others. We did not find evidence that any dimension of social support predicted treatment adherence or response for either treatment. This work does not indicate that social support is a factor that can help predict the suitability of psychological therapy for PTSD delivered via guided internet-based self-help versus face-to-face.
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http://dx.doi.org/10.1002/jts.22947 | DOI Listing |
Int J Bipolar Disord
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Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
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Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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Sci Rep
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Clinical Nursing Teaching and Research Section, The Second XiangYa Hospital, Central South University, No139, Renmin Road, Changsha, 410011, China.
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College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
The urban agglomeration represents the predominant form of new urbanisation, yet the evolution of its internal spatial structure exhibits pronounced spatial and temporal heterogeneity. This study concentrates on the Bohai Rim urban agglomeration, one of three major urban agglomerations in China, which has received comparatively limited research attention but has also undergone substantial urbanisation. Therefore, we reassessed and explored the spatial-temporal evolution of the spatial structure of urban expansion using Exploratory Spatiotemporal Data Analysis (ESTDA), and summarized the driving mechanisms using Geographically and Temporally Weighted Regression (GTWR).
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December 2024
School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.
Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.
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