Evidence map›Paper›PMID 41254803›Full record

ArticleJournal of health, population, and nutrition2025

Association of cardiometabolic index and glomerular filtration rate with sleep disorders: NHANES 2005-2020.

Xiaohui Yan, Xinyu Xu, Siqi Mei, Hao Hua, Xiaoyu Fei, Dan Wu, Jian Zhu, Wenlei Li

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

Xiaohui YanDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xinyu XuDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Siqi MeiDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Hao HuaDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiaoyu FeiDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Dan WuDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jian ZhuDepartment of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, China. drzhujian@hotmail.com.
Wenlei LiDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China. yfy120@njucm.edu.cn.

Funding

Academic Degree and Postgraduate Education Reform Project of Jiangsu Province SJCX24_1012National Natural Science Foundation of China 82474435Natural Science Foundation of Jiangsu Province BK20241996
6 · The paper itself

Abstract

backgroundPrevious studies have shown that sleep disorders are not only related to cardiac metabolism, but also strongly associated with renal insufficiency. This study aimed to examine whether there is a correlation between cardiometabolic index (CMI), glomerular filtration rate (GFR), and sleep disorders in U.S. adults from 2005 to 2020.

methodsThis cohort study examined U.S. adults from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2020 (through March 2020 before the COVID-19 pandemic). Participants included in the study had complete sleep data, waist circumference, height, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and creatinine levels. Logistic regression modeling was used to assess the potential relationship between CMI, GFR and sleep disorders. We then applied subgroup analyses to investigate the variability of the effects of CMI and GFR on sleep disorders in different groups.

resultsA total of 36,787 U.S. adults (mean [SD] age, 49.3 [17.6] years; 18,882 women [51.3%]) were included in this study. Their mean (SD) CMI and GFR were 2.2 (2.8) and 86.6 (25.1), respectively. Of participants, 14.91% (n=5486) reported having sleep disorders. Compared with the group without sleep disorders, the group with sleep disorders had higher levels of CMI (2.5±3.2 vs. 2.1±2.8) and lower levels of GFR (82.0±24.5 vs. 87.4±25.1). After adjusting for various confounding factors, there was a positive correlation between CMI and sleep disorders. For every unit increase in CMI, the occurrence of sleep disorders increased by 12% (OR 1.12 [95% Cl, 1.08-1.15]). GFR was negatively correlated with sleep disorders, with a 3% decrease in the occurrence of sleep disorders for every unit increase in GFR (OR 0.97 [95% Cl, 0.94-1]). In addition, we also observed differences between subgroups in terms of gender, age, race, and past medical history.

conclusionsIn this national cohort study, higher levels of CMI and lower levels of GFR were independently associated with sleep disorders. Interventions targeting abdominal obesity, lipid levels, and renal function warrant further exploration in future studies.

Indexed as

Cardiometabolic Risk FactorsGlomerular Filtration RateSleep Wake DisordersAdultAgedCohort StudiesCOVID-19FemaleHumansMaleMiddle AgedNutrition SurveysSARS-CoV-2United StatesCardiometabolic risk factorsKidney function testsNutrition surveysSleep wake disorders

Identifiers

PMID41254803
PMCPMC12625562

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.