Evidence map›Paper›PMID 42627800›Full record

ArticlePloS one2026

Nonlinear relationship between sleep quality and prevalence of type 2 diabetes: A cross-sectional study of community patients with chronic diseases.

Juan Ge, Peifang Lu, Shuzhi Peng, Haiyun Huang

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Article in PloS one, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Juan GeCollege of Health Management, Shanghai Jian Qiao University, Shanghai, China.
Peifang LuZhangjiang Community Healthcare Center, Shanghai, China.
Shuzhi PengCollege of Health Management, Shanghai Jian Qiao University, Shanghai, China.
Haiyun HuangZhangjiang Community Healthcare Center, Shanghai, China.ORCID https://orcid.org/0009-0001-0723-9140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo delve into the intricate relationship between sleep quality and prevalence of type 2 diabetes (T2D) among community-dwelling chronic disease patients, and to provide insights that can inform clinical practice.

methodsData on basic information and sleep quality of patients with chronic diseases were collected via questionnaire surveys. Following descriptive and logistic regression analyses, restricted cubic spline regression was further applied to explore a possible nonlinear dose-response relationship between sleep quality and prevalence of T2D among these patients.

resultsA total of 902 valid samples were included in this study, among which 565 were cases of T2D, accounting for 62.64%. The average score of the Pittsburgh Sleep Quality Index (PSQI) was 11.11. In all three models, a positive association was observed between higher PSQI scores and prevalence of T2D. Subsequent analysis employing RCS regression substantiates this nonlinear association and discerns two inflection points at 12 and 13 When the PSQI score was greater than 12, the odds ratio (OR) increased with higher PSQI scores, suggesting a significant increase in the association with the prevalence of T2D. When the PSQI score reaches 13, the OR stabilises, indicating that the rate of increase in risk has slowed.

conclusionSleep quality is an important factor for the prevalence of T2D, exhibiting a threshold range effect. Community health practitioners may consider sleep quality assessment as a supplementary tool, particularly in patients with existing chronic conditions. Implementing targeted sleep improvement interventions in this high-risk subgroup (PSQI≥12) may holds substantial potential to be associated with reduced T2D prevalence.

Indexed as

Diabetes Mellitus, Type 2Sleep QualityAdultAgedChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and Questionnaires

Identifiers

PMID42627800
PMCPMC13496401

What Socratic holds

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LicenceCC BY
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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 Socratic graph.