Evidence map›Paper›PMID 40121394›Full record

ArticleBMC public health2025

Association between sleep quality and mild cognitive impairment in Chinese patients with type 2 diabetes mellitus: a cross-sectional study.

Rehanguli Maimaitituerxun, Hengxue Wang, Wenhang Chen, Jingsha Xiang, Yu Xie, Fang Xiao, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu and 2 more

Abstract read
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In one paragraph

Article in BMC public health, 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

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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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Rehanguli Maimaitituerxun *Department for Acute Infectious Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Hengxue Wang *Department for Acute Infectious Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Wenhang ChenDepartment of Nephrology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jingsha XiangDepartment of Human Resources, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yu XieDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Fang XiaoDepartment of Toxicology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Xin Yin WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Letao ChenInfection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jianzhou YangDepartment of Preventive Medicine, Changzhi Medical College, Changzhi, Shanxi, China.
Aizhong LiuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Songning DingDepartment for Acute Infectious Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Wenjie DaiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. m18673965791@163.com.

Funding

National Key R&D Program of China 2020YFC2008600National Natural Science Foundation of China 82103939National Natural Science Foundation of Hunan Province 2021JJ40805Start-up Research Fund of Central South University 202044003
6 · The paper itself

Abstract

backgroundGlobally, the number of individuals with type 2 diabetes mellitus (T2DM) is increasing, and they are at a higher risk of developing mild cognitive impairment (MCI) than the general population. Sleep quality is thought to be a modifiable factor that may contribute to MCI, as previous studies have linked it to cognitive function in older adults. However, evidence concerning the association between sleep quality and MCI among patients with T2DM in China is limited. Therefore, this study aims to identify the association between sleep quality and MCI among patients with T2DM in China.

methodsThis cross-sectional study was conducted among patients with T2DM who were referred to the Endocrinology Department of Xiangya Hospital, Central South University. Data regarding sociodemographic characteristics, lifestyle factors, T2DM-related information, and biochemical indicators were collected. Sleep quality and MCI were evaluated using the Pittsburgh Sleep Quality Index (PSQI) and the Mini-Mental State Examination (MMSE) scale, respectively. The association between sleep quality and MCI was analyzed using univariate and multivariate analyses.

resultsThis study included 1,001 patients with T2DM, with a mean age of 60.2 (standard deviation: 10.1) years. Pearson's correlation analysis showed that the total PSQI score was negatively associated with the MMSE score (r=-0.27, P < 0.05). Multivariate analyses based on four models consistently showed that those with higher total PSQI score (aOR = 1.09-1.11, P < 0.05), as well as higher scores on the subjective sleep quality (aOR = 1.32-1.46, P < 0.05), sleep latency (aOR = 1.25-1.32, P < 0.05), sleep duration (aOR = 1.30-1.32, P < 0.05), sleep efficiency (aOR = 1.36-1.41, P < 0.05), sleep disturbance (aOR = 1.66-1.86, P < 0.05), and daily dysfunction (aOR = 1.38-1.48, P < 0.05) were associated with higher rates of MCI.

conclusionsAmong Chinese patients with T2DM, poor overall sleep quality, subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, and daily dysfunction were associated with higher rates of MCI. Future studies are needed to examine whether sleep intervention could improve cognitive function in patients with T2DM. It is also suggested for clinicians working with T2DM patients to raise the awareness of cognitive impairment and sleep problems.

Indexed as

Cognitive DysfunctionDiabetes Mellitus, Type 2Sleep QualityAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedChineseMild cognitive impairmentSleep qualityType 2 diabetes mellitus

Identifiers

PMID40121394
PMCPMC11929231

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.