Evidence map›Paper›PMID 40923089›Full record

ArticlePsychology research and behavior management2025

Unveiling the Hierarchical Network of Sleep Quality Determinants: Linking Behavioral, Environmental, and Psychosocial Pathways.

Xiaoyan Hu, Yuting Zhan, Jinying Wang

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xiaoyan Hu *ElCU, Shaoxing Second Hospital, Shaoxing City, Zhejiang Province, People's Republic of China.
Yuting Zhan *Department of Psychology, School of Education and Teaching, Ningxia University, Yinchuan City, Ningxia Province, People's Republic of China.ORCID 0009-0006-8372-542X
Jinying WangDepartment of Internal Medicine, Shaoxing Second Hospital, Shaoxing City, Zhejiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep quality has emerged as a critical public health concern, yet our understanding of how multiple determinants interact to influence sleep outcomes remains limited. This study employed partial correlation network analysis to examine the hierarchical structure of sleep quality determinants among Chinese adults. Methods: We investigated the interrelationships among nine key factors: daily activity rhythm, social interaction frequency, work-life balance, light exposure, physical activity level, time control perception, shift work, weekend catch-up sleep, and sleep quality using the extended Bayesian Information Criterion (EBIC) glasso model. The study included 8,127 Chinese adults (51.0% female, mean age = 32.7 years). Results: Results revealed that 79.9% of sleep quality variance could be explained by surrounding variables in the network. Time control perception emerged as a proximal factor, demonstrating the highest centrality ( Conclusion: These findings advance our theoretical understanding of sleep quality as embedded within a dynamic network of interacting factors and provide empirical support for targeted interventions focusing on time control perception and behavioral mediators to improve sleep outcomes. The network perspective offers novel insights for developing effective, hierarchically structured approaches to sleep quality enhancement in contemporary society.

Indexed as

behavioral mediatorshierarchical structurenetwork analysispartial correlationsleep qualitytime control perception

Identifiers

PMID40923089
PMCPMC12414262

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.