Evidence map›Paper›PMID 40951485›Full record

ArticleNarra J2025

Impact of anthropometric adiposity and excessive daytime sleepiness on endothelial function in healthcare workers: A cross-sectional analysis.

Vito A Damay, Ignatius Ivan, Nadhira A Islami, Kenza Y Rubismo

Abstract read
In one paragraph

Article in Narra J, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Vito A DamayDepartment of Cardiovascular Medicine, Universitas Pelita Harapan, Banten, Indonesia.
Ignatius IvanResident Medical Officer, Mochtar Riady Comprehensive Cancer Center (MRCCC) Siloam Hospital Semanggi, Jakarta, Indonesia.
Nadhira A IslamiUndergraduate Programme, Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia.
Kenza Y RubismoUndergraduate Programme, Faculty of Medicine, Universitas Pelita Harapan, Banten, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and excessive daytime sleepiness (EDS) are known contributors to cardiovascular risk through their impact on endothelial function. Healthcare workers, frequently exposed to shift work, are particularly vulnerable to these risk factors. The aim of this study was to assess the relationship between anthropometric adiposity measures and EDS with endothelial function, measured via flow-mediated dilation (FMD), in healthcare workers. This cross-sectional study included 82 healthcare workers aged 20-50 years without pre-existing cardiovascular conditions. Anthropometric measures such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) were collected to assess adiposity. EDS was evaluated using the Epworth sleepiness scale (ESS), with a score ≥10 indicating EDS. Endothelial function was measured via FMD, with values <7.1% indicating dysfunction. Multivariate logistic regression was used to identify predictors of endothelial dysfunction, adjusting for confounders such as age and sex. Collinearity diagnostics, including the Belsley-Kuh-Welsch method, were applied to confirm multicollinearity and refine the regression model. Overweight and obesity, high-risk WC, and increased risk WHtR were associated with endothelial dysfunction (

Indexed as

AdiposityDisorders of Excessive SomnolenceEndothelium, VascularHealth PersonnelObesityAdultAnthropometryBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsWaist CircumferenceYoung AdultBody mass indexendothelial dysfunctionflow-mediated dilationwaist circumferencewaist-to-height ratio

Identifiers

PMID40951485
PMCPMC12425532

What OpenQuestion holds

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LicenceCC BY-NC
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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.