Evidence mapPaperPMID 34900837Full record

ReviewJournal of diabetes and metabolic disorders2021

Metabolic syndrome and its determinants among professional drivers: a systematic review and meta-analysis.

Nazanin Izadi, Arezu Najafi, Maryam Saraei

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2021. 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
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

3 authors.

Nazanin IzadiOccupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0488-8823
Arezu NajafiOccupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Maryam SaraeiOccupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-9395-5735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrivers are one of the trade unions that are most exposed to various health-related risks, especially metabolic diseases. The present study aimed to systematically assess the overall prevalence of metabolic syndrome and its determinants among drivers in the world.

methodsAll retrospective, cross-sectional, or prospective studies evaluating the prevalence and risk for metabolic syndrome and its main components among male professional drivers were eligible for the initial assessment. PRISMA guideline was used. Two blinded reviewers independently screened the titles and abstracts of the manuscripts followed by a deep assessment of the full texts for determining the inclusion appropriateness.

resultsIn the final, 12 articles were eligible for the final analysis. Overall, 19,350 professional male drivers with a total average age of 43.06 years (ranged from 35.5 to 51.1 years) were included in the study. The prevalence of metabolic syndrome was estimated to be 32.8% (95%CI: 32.1% to 33.5%), and the major determinants of appearing this syndrome among professional drivers were advanced age, years of driving experience, higher body mass index, smoking, high cholesterol dietary regimen, high Framingham risk score, low regular exercising, history of diabetes mellitus, history of gout, and shift work pattern.

conclusionAccording to the 32.8% prevalence rate of metabolic syndrome among drivers, managerial measures are needed to prevent and control metabolic disturbances among professional drivers are recommended.

Indexed as

Cardiovascular riskMetabolic syndromeProfessional driver

Identifiers

PMID34900837
PMCPMC8630342

What Socratic holds

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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 Socratic graph.