Evidence map›Paper›PMID 39511319›Full record

ArticleScientific reports2024

Canonical correlation-based relationships between social support and sleep quality in a hospital psychiatric outpatient population with examining the mediating roles of anxiety and depressive symptoms.

Yuexia Cai, Qian Xu, Jiehui Yang, Jianfeng Tan, Jiang Xue

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuexia Cai *The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Songshan Lake Science Park, Dongguan, Guangdong, China.
Qian Xu *Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiehui YangPsychological Counselling Center, Dongguan City University, Dongguan, China.
Jianfeng TanThe First Dongguan Affiliated Hospital, School of Humanities and Management, Guangdong Medical University, Dongguan, China.
Jiang XueThe Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Songshan Lake Science Park, Dongguan, Guangdong, China. jiang_xue@gdmu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515110169Humanities and Social Sciences Youth Foundation, Ministry of Education 22YJCZH209Research Start-Up Funds of Guangdong Medical University 4SG24300G
6 · The paper itself

Abstract

objectiveThis 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.

methodsEmploying 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.

resultsCanonical 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%.

conclusionThe 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.

Indexed as

AnxietyDepressionOutpatientsSleep QualitySocial SupportAdolescentAdultAgedCross-Sectional StudiesFemaleHospitals, PsychiatricHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAnxietyCanonical correlation analysisDepressionMediationSleep qualitySocial support

Identifiers

PMID39511319
PMCPMC11544120

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