Introduction: Numerous studies have established the importance of social support on psychological symptoms among older adults, however, the distinct contribution of different levels of family and friends' social support has not been thoroughly assessed
Objectives: This study determined the contribution of different levels of friend and family social support (high, moderate, low) on psychological symptoms among the older adult
Methods: A cross-sectional study was conducted among 538 older adults attending outpatient clinic at two selected teaching Hospitals in Nigeria from February to July, 2021.The data was collected using the 7-item Generalized Anxiety Disorders Scale, Patient Health Questionnaire (PHQ-9), and the Multidimensional Scale of Perceived Social Support. The data was analyzed with SPSS version 23 and logistic regression was used for the inferential analysis.
Results: Older adults with moderate social support from family were 3.6 more likely to have depression symptoms than those with high family social support (AOR = 3.623, 95%CI 1.275-2.875, = .020). Also, those with moderate family social support (AOR = 2.875, 95%CI 2.425-11.875 = .002), low family social support (AOR = 2.966, 95%CI 1.312-3.875, = .007), and low friends social support (AOR = 2.966, 95%CI 1.312-3.875, = .009) were more likely to have anxiety symptoms than those with high social support.
Conclusion: High social support confers a protective measure against depression and is effective in reducing psychological symptoms among older adults.
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http://dx.doi.org/10.1177/23779608231187778 | 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.
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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