Evidence map›Paper›PMID 37092078›Full record

ArticleAfrican health sciences2022

The association of cardiometabolic disorders with sleep duration: a cross-sectional study.

Dorcas R Prakaschandra, Datshanna P Naidoo

Open access · diamondAbstract read
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Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 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

2 authors at 2 institutions in 1 country.

Dorcas R PrakaschandraDurban University of Technology; Department of Biomedical and Clinical Technology; 41/43 ML Sultan Road; Durban; 4000; South Africa.
Datshanna P NaidooUniversity of KwaZulu-Natal; Department of Cardiology; Inkosi Albert Luthuli Central Hopsital; Bellair Road, Cator Manor; Durban; South Africa.
Durban University of Technology · ZAUniversity of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alterations in sleep duration and quality are linked to the development of cardiovascular risk factors and the metabolic syndrome (MetS). The aim of this study was to determine a sex stratified analysis on the role and associations of sleep duration on cardiometabolic risk factors, and the MetS. Methods: Data from 1375 randomly selected participants (15-64 years) was collected for demographic, anthropometric, blood pressure and biochemistry data after overnight fasting, and derangements diagnosed according to published guidelines. Analysis of association between the MetS (harmonised criteria modified for South Asians), sleep duration (self-reported for a 24-hour period), and cardiometabolic risk factors was done using stepwise logistic regression. Results: The BMI, waist circumference (WC), systolic blood pressure (SBP) and diastolic blood pressure (DBP), fasting plasma glucose, total cholesterol, low density lipoprotein were higher (p< 0.05) in subjects who slept <6 hours, with lower HDL. Under 6 hours of sleep was independently associated with raised FPG in men (OR 1.71 95% CI [1.53,5.52]) only. More than 10 hours of sleep was independently associated with increased triglyceride levels in men (1.72[0.56, 5.23]) and women (2.25[1.93,5.42]). Conclusion: The individual components of the Mets, particularly, increased triglycerides and blood glucose are associated with sleep deprivation or excess.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeBlood GlucoseBlood PressureBody Mass IndexCross-Sectional StudiesFemaleHumansMaleRisk FactorsSleepTriglyceridesWaist CircumferenceBlood GlucoseTriglyceridesCardiovascular RiskMetabolic Syndrome XSleep Time

Identifiers

PMID37092078
PMCPMC10117479
OpenAlexW4323059724

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.