Objective: This study aims to examine the associations between various dimensions of social support and sleep quality in a hospital psychiatric outpatient population using canonical correlation analysis, while also investigating the potential mediating roles of anxiety and depressive symptoms.
Methods: Employing a cross-sectional design, survey data were collected from 10,071 individuals visiting Hangzhou Seventh People's Hospital between October 2020 and October 2023. After excluding invalid cases, a total of 10,063 participants were included for analysis. The survey encompassed gathering basic demographic information as well as administering the Social Support Rating Scale, Self-rating Depression Scale, Self-rating Anxiety Scale, and Pittsburgh Sleep Quality Index Scale. Data analysis was conducted using SPSS 27.0 statistical software with canonical correlation analysis employed to examine the relationships. Additionally, the mediating effects of anxiety and depression symptoms were examined using the SPSS PROCESS macro.
Results: Canonical correlation analysis reveals a significant positive correlation between social support dimensions and various aspects of sleep quality. The first pair of canonical variables (r = 0.586, p < 0.001) accounts for an impressive 97% of the cumulative contribution. It is found that this pair of canonical variables explains 68.9% of the variance in social support and 49.0% in sleep quality. Mediation analysis revealed that anxiety and depressive symptoms significantly mediated the relationship between social support and sleep quality, accounting for 88% of the total effect. Specifically, anxiety accounted for 47% mediation while depression accounted for 41%.
Conclusion: The study findings revealed a significant positive correlation between social support and sleep quality dimensions, indicating a robust association between increased social support and enhanced individual sleep quality. Furthermore, the results indicated that anxiety and depression partially mediated the relationship between social support and sleep quality, offering novel insights into the intricate connection between mental health and sleep quality.
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http://dx.doi.org/10.1038/s41598-024-78775-8 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFAm J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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