Evidence map›Paper›PMID 35237787›Full record

SynthesisAnnals of work exposures and health2022

Work Exposures and Development of Cardiovascular Diseases: A Systematic Review.

Christian Moretti Anfossi, Magdalena Ahumada Muñoz, Christian Tobar Fredes, Felipe Pérez Rojas, Jamie Ross, Jenny Head, Annie Britton

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  13. Association of occupational noise exposure with hypertension: A cross-sectional study.Journal of clinical hypertension (Greenwich, Conn.) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Christian Moretti AnfossiDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK.ORCID 0000-0001-6366-6561
Magdalena Ahumada MuñozInstituto de Salud Pública de Chile, Av. Marathon 1000, Santiago, Chile.
Christian Tobar FredesFacultad de Ciencias de la salud, Campus Los Leones, Universidad San Sebastián, Lota 2465, Providencia, Santiago, Chile.
Felipe Pérez RojasUniversidad Mayor sede Temuco, Av. Alemania 281, Temuco, Chile.
Jamie RossDepartment of Primary Care and Population Health, University College London, London, UK.
Jenny HeadDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK.
Annie BrittonDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK.
University College London · GBInstituto de Salud Pública de Chile · CLSan Sebastián University · CLUniversidad Mayor · CL

Funding

Medical Research Council MR/M006638/1
6 · The paper itself

Abstract

introductionCardiovascular diseases (CVDs) are the number one cause of death, and there is evidence that work exposures could be associated with their development. This study aimed to systematically review observational studies of adults exposed to job strain, effort-reward imbalance, long working hours, job insecurity, shift work, and occupational noise, and assess the association of those work exposures with CVDs.

methodsThe Navigation Guide framework was applied. The population were adults of working age (18-65), and cohort and case-control studies were included. The work exposures were job strain, effort-reward imbalance, long working hours, job insecurity, shift work, and occupational noise. The outcomes were cerebrovascular diseases, ischaemic heart disease, and hypertensive diseases. The selection, data extraction, risk of bias assessment, and quality assessment were carried out by two reviewers independently and disagreements were solved by a third reviewer or by consensus. The synthesis of the results was done by applying the 'vote counting based on direction' method, and the results were summarized in an effect direction plot. The strength of the evidence for every risk factor and CVD was defined by consensus.

resultsA total of 17 643 papers were initially identified in the literature search, but after applying the filters by title and abstract, and full text, 86 studies were finally included. From the included studies, sufficient evidence was found of the harmfulness of job strain for cerebrovascular disease and ischemic heart disease. Furthermore, there was sufficient evidence of the harmfulness of shift work for ischemic heart disease. Evidence of no relationship was found between long working hours and shift work with ischaemic heart disease and hypertensive disease, respectively. The other associations of work exposures and CVDs had limited or inadequate evidence of harmfulness.

conclusionsIn this comprehensive review, there was sufficient evidence of a harmful relationship between job strain, shift work, and CVDs. For the other work exposures, more high-quality studies are needed. In order to improve current prevention strategies for CVDs, the findings of this review imply that job strain and shift work are work exposures that constitute additional risk factors that could be approached as targets for worksite interventions. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020179972.

Indexed as

Cardiovascular DiseasesMyocardial IschemiaNoise, OccupationalOccupational ExposureAdultHumansObservational Studies as TopicWorkplacecardiovascular diseaseeffort–reward imbalancejob insecurityjob strainlong working hoursoccupational noiseshift worksystematic review

Identifiers

PMID35237787
PMCPMC9250287
OpenAlexW4210713769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.