Evidence map›Paper›PMID 38566084›Full record

ArticleBMC public health2024

Associations between sleep duration, sleep disturbance and cardiovascular disease biomarkers among adults in the United States.

Prince Nii Ossah Addo, Paddington T Mundagowa, Longgang Zhao, Mufaro Kanyangarara, Monique J Brown, Jihong Liu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
18.3field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Prince Nii Ossah AddoDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA. paddo@email.sc.edu.
Paddington T MundagowaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA.
Longgang ZhaoDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA.
Mufaro KanyangararaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA.
Monique J BrownDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA.
Jihong LiuDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, 29208, Columbia, South Carolina, USA.
University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep problems are associated with abnormal cardiovascular biomarkers and an increased risk of cardiovascular diseases (CVDs). However, studies investigating associations between sleep problems and CVD biomarkers have reported conflicting findings. This study examined the associations between sleep problems and CVD biomarkers in the United States.

methodsData were from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) and analyses were restricted to adults ≥ 20 years (n = 23,749). CVD biomarkers [C-reactive Protein (CRP), low-density lipoproteins, high-density lipoproteins (HDL), triglycerides, insulin, glycosylated hemoglobin (HbA1c), and fasting blood glucose] were categorized as abnormal or normal using standardized cut-off points. Sleep problems were assessed by sleep duration (short [≤ 6 h], long [≥ 9 h], and recommended [> 6 to < 9 h) and self-reported sleep disturbance (yes, no). Multivariable logistic regression models explored the associations between sleep duration, sleep disturbance, and CVD biomarkers adjusting for sociodemographic characteristics and lifestyle behaviors.

resultsThe mean sleep duration was 7.1 ± 1.5 h and 25.1% of participants reported sleep disturbances. Compared to participants with the recommended sleep duration, those with short sleep duration had higher odds of abnormal levels of HDL (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI] = 1.05-1.39), CRP (aOR = 3.08, 95% CI = 1.18-8.05), HbA1c (aOR = 1.25, 95% CI = 1.05-1.49), and insulin (aOR = 1.24, 95% CI = 1.03-1.51). Long sleep duration was associated with increased odds of abnormal CRP (aOR = 6.12, 95% CI = 2.19-17.15), HbA1c (aOR = 1.54, 95% CI = 1.09-2.17), and blood glucose levels (aOR = 1.45, 95% CI = 1.07-1.95). Sleep disturbance predicted abnormal triglyceride (aOR = 1.18, 95% CI = 1.01-1.37) and blood glucose levels (aOR = 1.24, 95% CI = 1.04-1.49).

conclusionShort and long sleep durations were positively associated with abnormal CRP, HDL, HbA1c, blood glucose, and insulin levels, while sleep disturbance was associated with abnormal triglyceride and blood glucose levels. Since sleep is a modifiable factor, adopting healthy sleeping habits may create a balanced metabolism and reduce the risk of developing a CVD. Our study may provide insights into the relationship between sleep duration, sleep disturbance, and CVD risk.

Indexed as

Cardiovascular DiseasesSleep Wake DisordersAdultBiomarkersBlood GlucoseC-Reactive ProteinGlycated HemoglobinHumansInsulinLipoproteins, HDLNutrition SurveysRisk FactorsSleepSleep DurationTriglyceridesUnited StatesBiomarkersBlood GlucoseC-Reactive ProteinGlycated HemoglobinInsulinLipoproteins, HDLTriglyceridesBiomarkerCardiovascular diseasesNHANESSleep disturbanceSleep duration

Identifiers

PMID38566084
PMCPMC10985959
OpenAlexW4393437297

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.