Evidence map›Paper›PMID 28931661›Full record

ArticleThe European respiratory journal2017

Unemployment in chronic airflow obstruction around the world: results from the BOLD study.

Rune Grønseth, Marta Erdal, Wan C Tan, Daniel O Obaseki, Andre F S Amaral, Thorarinn Gislason, Sanjay K Juvekar, Parvaiz A Koul, Michael Studnicka, Sundeep Salvi and 5 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in The European respiratory journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Respiratory health, occupation and the healthy worker effect.Occupational medicine (Oxford, England) · 2020
    Article
  8. Article
  9. Observational
  10. Article
  11. Endocrine regulation of lung disease and inflammation.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 8 countries.

Rune GrønsethDept of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.
Marta ErdalDept of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway marta.erdal@k2.uib.no.
Wan C TanUBC James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada.
Daniel O ObasekiDept of Medicine, Obafemi Awolowo University, Ile-Ife, Nigeria.
Andre F S AmaralNational Heart and Lung Institute, Imperial College London, London, UK.
Thorarinn GislasonDept of Respiratory Medicine and Sleep, Faculty of Medicine, University of Iceland, Landspitali University Hospital, Reykjavik, Iceland.
Sanjay K JuvekarVadu Health and Demographic Surveillance System, KEM Hospital Research Centre Pune, Pune, India.
Parvaiz A KoulDept of Internal and Pulmonary Medicine, SheriKashmir Institute of Medical Sciences, Srinagar, India.
Michael StudnickaDept of Pulmonary Medicine, Paracelsus Medical University, Salzburg, Austria.
Sundeep SalviChest Research Foundation, Chest Research Foundation, Pune, India.
Peter BurneyNational Heart and Lung Institute, Imperial College London, London, UK.
A Sonia BuistPulmonary and Critical Care Medicine, UHN67, Oregon Health and Science University, Portland, OR, USA.
William M VollmerKaiser Permanente Center for Health Research, Portland, OR, USA.
Ane JohannessenCentre for International Health, Dept of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Research teams at centres
Imperial College London · GBUniversity of Bergen · NOHaukeland University Hospital · NOKaiser Permanente Center for Health Research · USNational University Hospital of Iceland · ISObafemi Awolowo University · NGOregon Health & Science University · USParacelsus Medical University · ATSher-i-Kashmir Institute of Medical Sciences · INSt. Paul's Hospital · CA

Funding

Medical Research Council MR/P022006/1Wellcome TrustWellcome Trust 085790/2/08/2
6 · The paper itself

Abstract

We aimed to examine associations between chronic airflow obstruction (CAO) and unemployment across the world.Cross-sectional data from 26 sites in the Burden of Obstructive Lung Disease (BOLD) study were used to analyse effects of CAO on unemployment. Odds ratios for unemployment in subjects aged 40-65 years were estimated using a multilevel mixed-effects generalised linear model with study site as random effect. Site-by-site heterogeneity was assessed using individual participant data meta-analyses.Out of 18 710 participants, 11.3% had CAO. The ratio of unemployed subjects with CAO divided by subjects without CAO showed large site discrepancies, although these were no longer significant after adjusting for age, sex, smoking and education. The site-adjusted odds ratio (95% CI) for unemployment was 1.79 (1.41-2.27) for CAO cases, decreasing to 1.43 (1.14-1.79) after adjusting for sociodemographic factors, comorbidities and forced vital capacity. Of other covariates that were associated with unemployment, age and education were important risk factors in high-income sites (4.02 (3.53-4.57) and 3.86 (2.80-5.30), respectively), while female sex was important in low- to middle-income sites (3.23 (2.66-3.91)).In the global BOLD study, CAO was associated with increased levels of unemployment, even after adjusting for sociodemographic factors, comorbidities and lung function.

Indexed as

AdultAgedComorbidityCross-Sectional StudiesDeveloped CountriesDeveloping CountriesEducational StatusFemaleForced Expiratory VolumeHumansIncomeLinear ModelsMaleMiddle AgedMultivariate AnalysisPulmonary Disease, Chronic Obstructive

Identifiers

PMID28931661
PMCPMC5898950
OpenAlexW2756112185

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.