Evidence map›Paper›PMID 40952648›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2025

The Relationship Between PSQI Scores and Glucose Metabolic Dysfunction in Patients with Newly Diagnosed T2DM: The Mediating Role of Body Composition.

Zhen Wen, Minglei Ma, Dongxue Zhang, Lei Xiu, Tao Jiang

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Observational
  2. Article
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

5 authors.

Zhen WenDepartment of Endocrinology, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, China.ORCID http://orcid.org/0009-0000-8367-9554
Minglei MaDepartment of Endocrinology, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, China.ORCID http://orcid.org/0009-0000-2378-4870
Dongxue ZhangDepartment of Endocrinology, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, China.ORCID http://orcid.org/0009-0008-0464-4264
Lei XiuDepartment of Endocrinology, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, China.ORCID http://orcid.org/0009-0008-5954-229X
Tao JiangDepartment of Endocrinology, Beijing Shijitan Hospital Affiliated to Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, China. jiangtaojt1966@163.com.ORCID http://orcid.org/0009-0003-8904-6370

Funding

Project of Science and Technology Research and Development of China Railway Corporation J2021Z608
6 · The paper itself

Abstract

introductionType 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized primarily by insulin resistance and hyperglycemia, often leading to multiple complications. Sleep disturbances, including insomnia and sleep apnea, are prevalent in patients with T2DM and are associated with poorer glucose metabolism. Despite research examining the relationship between glucose metabolism, body composition, and sleep quality, the underlying mechanisms remain unclear, particularly within patients with T2DM.

methodsThis study involved 269 newly diagnosed patients with T2DM from January to June 2024. Data collected included demographic information, clinical variables, glycemic markers, and body composition analyses. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), categorizing participants into poor (PSQI-H) and good sleep quality (PSQI-L) groups. Univariate and multivariate regression analyses, along with mediation analysis, were performed using SPSS 26.0 and R software to explore associations between sleep quality, glycemic markers, and body composition.

resultsSignificant correlations were found between PSQI scores and glycemic markers such as HbA1c, HOMA-IR, and postprandial blood glucose levels, showing that poorer glucose control was correlated with worse sleep quality. Mediation analysis suggested that body composition, particularly the trunk-to-limb fat mass ratio, may act as a statistical mediator in the relationship between glucose metabolism and sleep quality.

conclusionsOur findings highlight the complex relationship between glucose metabolism, body composition, and sleep quality in patients with T2DM. Targeting glucose regulation and body composition may be explored in future studies as potential approaches to improve sleep quality in individuals with T2DM.

trial registrationClinical ChiCTR1900022768.

Indexed as

Body compositionGlucose metabolismSleep qualityType 2 diabetes mellitus

Identifiers

PMID40952648
PMCPMC12579018

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.