Evidence map›Paper›PMID 28808790›Full record

ArticleInternational archives of occupational and environmental health2018

Health risks in the cleaning industry: a Belgian census-linked mortality study (1991-2011).

Laura Van den Borre, Patrick Deboosere

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Article in International archives of occupational and environmental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Long-Term Effects of Cleaning on the Lungs.American journal of respiratory and critical care medicine · 2018
    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

2 authors.

Laura Van den BorreInterface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, PL5, 2.01, 1050, Brussels, Belgium. Laura.Van.den.Borre@vub.be.ORCID 0000-0001-5709-3533
Patrick DeboosereInterface Demography, Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, PL5, 2.05, 1050, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCleaning work has been associated with a wide range of occupational health hazards. However, little is known about mortality risks in the cleaning industry. This study examines differences in cause-specific mortality between cleaners, manual and non-manual workers.

methodsUsing exhaustive census-linked mortality data, the total Belgian working population aged 30-60 was selected from the 1991 census. Analyses were based on 202,339 male and 58,592 female deaths between 1 March 1991 and 31 December 2011. Standardized Mortality Ratios were calculated and indirectly adjusted for smoking (SMR). In addition, Cox proportional hazards regression models were used to account for age, educational level, part-time employment and marital status.

resultsLarge mortality differences were observed between cleaners, manual and non-manual workers. In 2001-2011, smoking-adjusted SMRs for all-cause mortality were higher among cleaners than among non-manual workers (Men 1.25 CI 1.22-1.28; women 1.10 CI 1.07-1.13). SMRs also show cleaners had significantly more deaths due to COPD (men 2.13 CI 1.92-2.37; women 2.03 CI 1.77-2.31); lung cancer (men 1.31 CI 1.22-1.39; women 1.21 CI 1.11-1.32); pneumonia (men 1.64 CI 1.35-1.97; women 1.31 CI 1.00-1.68); ischaemic heart diseases (men 1.22 CI 1.13-1.31; women 1.40 CI 1.25-1.57) and cerebrovascular diseases (men 1.19 CI 1.05-1.35; women 1.13 CI 1.00-1.27). Mortality risks among cleaners remained elevated after adjustment for education.

conclusionsRespiratory and cardiovascular mortality is considerably higher for male and female cleaners than for non-manual workers.

Indexed as

AdultBelgiumCardiovascular DiseasesCensusesFemaleHumansMaleMiddle AgedOccupational DiseasesRespiratory Tract DiseasesRisk FactorsSmokingCardiovascular diseasesCause-specific mortalityCensus-linked dataOccupational healthRespiratory diseases

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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.