Problematic substance use and addiction is a growing crisis in the United States. As a result, identifying factors that effectively promote addiction recovery is, currently, of particular societal importance. Informed by evidence that-while addiction can be perpetuated by stress-related impulsivity and decreased self-regulation-perceived social support is protective against addiction, we test a model for addiction recovery as a form of posttraumatic growth (PTG), focused specifically on close relationships and personal strength-two domains of PTG. In an initial study, we found that perceived social support and impulsivity predicted number of relapses in individuals in a substance use disorder recovery program. Using experience sampling, we then observed that experiencing a stressful event predicted impulsive behavior. However, experiencing closeness with others-a domain of PTG-was directly associated with perceived social support, and both predicted positive emotional states, which were, in turn, inversely associated with experiencing a stressful event. Further, when experiencing a stressful event, personal strength-also a domain of PTG-was inversely associated with impulsive behavior and was predicted by both perceived social support and positive emotional states. Finally, in a follow-up experiment, we found that an ecological momentary intervention targeting perceived social support decreased impulsivity and increased self-regulation-an aspect of personal strength-in a dose-dependent fashion. Taken together, our findings: (1) support a PTG model for recovery; (2) provide evidence for processes by which close supportive relationships are protective against addiction and relapse; and (3) indicate that self-regulation is responsive to a short in-the-moment perceived social support intervention. We suggest that these findings support the theory that addiction is a social disease in the sense that close personal interactions and supportive relationships: (a) buffer against stress-related impulsivity, thereby protecting against addiction and relapse; and (b) increase personal strength, thereby decreasing the probability of impulsive-including addictive-behavior and promoting recovery.
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http://dx.doi.org/10.1038/s41598-024-53740-7 | 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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December 2024
Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Objectives: Racial and ethnic differences in long-term outcomes associated with medications for opioid use disorder (MOUD) are poorly understood.
Methods: The present analyses were based on 751 participants with opioid use disorder (OUD) who were initially recruited from opioid treatment programs located in California, Connecticut, Oregon, Pennsylvania, and Washington and participated in a randomized controlled trial and at least one follow-up interview. 9.
Sci Rep
December 2024
Clinical Nursing Teaching and Research Section, The Second XiangYa Hospital, Central South University, No139, Renmin Road, Changsha, 410011, China.
Prostate cancer, a common malignancy in older men, often requires laparoscopic radical prostatectomy, considered the gold standard treatment. However, postoperative complications can significantly impact quality of life and psychological well-being. The emergence of mobile internet health management offers a promising approach for accessible and effective post-discharge care.
View Article and Find Full Text PDFSci Rep
December 2024
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).
View Article and Find Full Text PDFSci Rep
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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