Evidence map›Paper›PMID 35418421›Full record

ArticleBMJ open2022

Influence of shift work on cardiovascular disease risk in Southern African long-distance truck drivers: a cross-sectional study.

Melvin Draaijer, Karine Scheuermaier, Samanta Tresha Lalla-Edward, Alex Emilio Fischer, Diederick E Grobbee, Francois Venter, Alinda Vos

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Sex difference in cardiac performance in individuals with irregular shift work.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
  4. Review
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

7 authors at 2 institutions in 2 countries.

Melvin DraaijerDepartment of Global Health, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands.
Karine ScheuermaierWits Sleep Laboratory, Brain Function Research Group, School of Physiology, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa.
Samanta Tresha Lalla-EdwardEzintsha, a sub-division of Wits Reproductive Health and HIV Institute, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa.ORCID 0000-0003-3597-1643
Alex Emilio FischerEzintsha, a sub-division of Wits Reproductive Health and HIV Institute, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa.ORCID 0000-0002-6882-7245
Diederick E GrobbeeGlobal Health Unit, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands.
Francois VenterEzintsha, a sub-division of Wits Reproductive Health and HIV Institute, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa.
Alinda VosEzintsha, a sub-division of Wits Reproductive Health and HIV Institute, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, Gauteng, South Africa A.G.Vos-8@umcutrecht.nl.ORCID 0000-0002-9551-6223
University of the Witwatersrand · ZAAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCardiovascular disease (CVD) is a major problem globally. Truck drivers have an increased risk of CVD due to a sedentary lifestyle, irregular working hours and behavioural choices. We aimed to get insight into the contribution of night shift work to CVD risk in long-distance truck drivers in South Africa.

designA cross-sectional study.

settingEnrolment took place at three South African truck stop locations in two provinces; Bloemfontein (Free State), Pomona Road (Gauteng) and Soweto (Gauteng).

participants607 males aged ≥18 years with full-time employment as a long-distance truck driver were included. The criteria for inclusion were willingness and being able to provide informed consent and to complete the study procedures. PRIMARY AND SECONDARY OUTCOME MEASURES: Information was collected on sociodemographics, occupational and health characteristics. Physical measurements, an ECG and carotid intima-media thickness (CIMT) measurements were taken. A night shift was defined as working at least 3 hours between 22:00 and 6:00 hours once a week. CVD risk was defined with the Framingham Risk Score (FRS), the Atherosclerotic Cardiovascular Disease (ASCVD) risk algorithm, left ventricular hypertrophy (LVH) and CIMT.

resultsIn total, 607 truck drivers were included of which 305 (50.2%) worked in day shifts only and 302 (49.8%) worked day and night shifts. There was a high prevalence of CVD risk factors in both groups as 33% were hypertensive, 28% obese and 37% had abnormal lipid levels. Working day and night shifts compared with working only day shifts did not result in differences in FRS, ASCVD risk or LVH. No difference was found in CIMT measurements, except for the maximum bulb thickness which was higher in day shift workers.

conclusionsCVD risk factors are considerably present in male truck drivers in South Africa. CVD risk does not differ between dayshift and day-night shift workers in this cross-sectional analysis.

Indexed as

AtherosclerosisCardiovascular DiseasesShift Work ScheduleAdolescentAdultCarotid Intima-Media ThicknessCross-Sectional StudiesFemaleHumansMaleMotor VehiclesRisk FactorsSouth AfricaAtherosclerotic Cardiovascular Disease riskcardiovascular risk factorsCarotid Intima-Media ThicknessFramingham risk scoreLeft Ventricular HypertrophySouth-Africa

Identifiers

PMID35418421
PMCPMC9013993
OpenAlexW4224082523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.