Objectives: There is a strong association between supportive ties and health. However, most research has focused on the health benefits that come from the support one receives while largely ignoring the support giver and how giving may contribute to good health. Moreover, few studies have examined the neural mechanisms associated with support giving or how giving support compares to receiving support.
Method: The current study assessed the relationships: a) between self-reported receiving and giving social support and vulnerability for negative psychological outcomes and b) between receiving and giving social support and neural activity to socially rewarding and stressful tasks. Thirty-six participants (mean [standard deviation] age = 22.36 [3.78] years, 44% female) completed three tasks in the functional magnetic resonance imaging scanner: 1) a stress task (mental arithmetic under evaluative threat), b) an affiliative task (viewing images of close others), and c) a prosocial task.
Results: Both self-reported receiving and giving social support were associated with reduced vulnerability for negative psychological outcomes. However, across the three neuroimaging tasks, giving but not receiving support was related to reduced stress-related activity (dorsal anterior cingulate cortex [r = -0.27], left [r = -0.28] and right anterior insula [r = -0.33], and left [r = -0.32] and right amygdala [r = -0.32]) to a stress task, greater reward-related activity (left [r = 0.42] and right ventral striatum [VS; r = 0.41]) to an affiliative task, and greater caregiving-related activity (left VS [r = 0.31], right VS [r = 0.31], and septal area [r = 0.39]) to a prosocial task.
Conclusions: These results contribute to an emerging literature suggesting that support giving is an overlooked contributor to how social support can benefit health.
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http://dx.doi.org/10.1097/PSY.0000000000000302 | DOI Listing |
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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.
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.
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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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