MétaCan
Menu
← Back to cohort
Record W6996389298

The Role of Depression in Linking Sleep Quality and Life Quality in OSAHS Patients

2025· article· en· W6996389298 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Quality of life (healthcare)Pittsburgh Sleep Quality IndexSleep qualitySleep (system call)Depressive symptoms
DOInot available

Abstract

fetched live from OpenAlex

Jinglan Chen,1 Shiqi Xie,1 Jianrong Zhou,2 Yi Wen,1 Xia Yang,3 Feng Xing,4 Xirong Wu1 1School of Nursing, Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Library, Chongqing Medical University, Chongqing, People’s Republic of China; 3School of Social Development and Public Policy, Fudan University, Shanghai, People’s Republic of China; 4Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Shiqi Xie, School of Nursing, Chongqing Medical University, Chongqing, People’s Republic of China, Email 102835@cqmu.edu.cn Jianrong Zhou, Department of Library, Chongqing Medical University, Chongqing, People’s Republic of China, Email 202028@cqmu.edu.cnPurpose: OSAHS patients’ quality of life is significantly impacted by poor sleep. This study examines the mediating role of depression in the relationship between sleep quality and life quality among OSAHS patients.Patients and Methods: Convenience sampling was applied to gather participants at a Chongqing tertiary hospital. Participants filled out questionnaires measuring their quality of life, depression, and sleep quality. Sleep quality was gauged by the Pittsburgh Sleep Quality Index (PSQI), depression was assessed by the Patient Health Questionnaire (PHQ-9), and quality of life was assessed by the Quebec Sleep Questionnaire (QSQ). Mediation analysis was performed via SPSS PROCESS.Results: The study found that depressive symptoms (r=− 0.705, p< 0.01) and sleep quality (r=− 0.578, p< 0.01) were adversely associated with quality of life in OSAHS patients. Depressive symptoms were found to significantly mediate the relationship between sleep quality and quality of life in OSAHS patients (Bootstrap 95% CI − 0.0992, − 0.0483), with 49.55% of the effect size attributable to the pathway from sleep quality to depression to quality of life.Conclusion: Sleep quality and depressive symptoms are important indicators of quality of life in OSAHS patients. Depression serves as a partial mediator (In this study, the mediating factor refers to the element that controls the association between quality of life and sleep quality) in the relationship between sleep quality and quality of life. Interventions aimed at enhancing sleep quality and alleviating depressive symptoms may lead to an improved quality of life for OSAHS patients.Keywords: OSAHS, depression, sleep quality, quality of life, mediator

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.149
GPT teacher head0.563
Teacher spread0.414 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)→Same topicSleep and related disorders→French-language works237,207→