Evidence map›Paper›PMID 24792922›Full record

ArticleInternational archives of occupational and environmental health2015

Cardiovascular disease mortality among retired workers chronically exposed to intense occupational noise.

Serge Andre Girard, Tony Leroux, René Verreault, Marilène Courteau, Michel Picard, Fernand Turcotte, Julie Baril, Olivier Richer

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Article in International archives of occupational and environmental health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. [Workers especially sensitive to cardiovascular risk].Revista espanola de salud publica · 2019
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Serge Andre GirardInstitut national de santé publique du Québec, Québec, Canada, serge.andre.girard@inspq.qc.ca.
Tony Leroux
René Verreault
Marilène Courteau
Michel Picard
Fernand Turcotte
Julie Baril
Olivier Richer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study, conducted among retired workers (≥65 years), is to estimate the association between long-term risk of cardiovascular disease (CVD) death and (1) duration of occupational noise exposure in career and (2) noise-induced hearing loss (NIHL), the latter being used as an indicator of adverse effects for long-term exposure to occupational noise.

methodsData from screening activities of occupational NIHL were paired to data from death records and were used for this study. A nested case-control analysis was performed. Each case was matched with three controls for length of follow-up and economic sector. A total of 161 CVD deaths occured during an average follow-up of 6.8 years. Conditional logistic regression models were used to estimate the risk (OR) of CVD death by tertiles of duration of noise exposure and of NIHL.

resultsConditional logistic regression models indicated that prolonged duration of noise exposure (≥36.5 years) (3rd tertile) was associated with an increased risk of CVD death (OR 1.70; 95 % CI 1.10-2.62), as compared with shorter duration (<27 years) (first tertile). Moderate NIHL (2nd tertile) (OR 1.64; 95 % CI 1.04-2.6) and severe NIHL (3rd tertile) (OR 1.66; 95 % CI 1.06-2.60) were also associated with an increase in risk of CVD death.

conclusionsResults are consistent with recent findings on the chronic effects of occupational noise exposure persisting after retirement although it is less than during active working life.

Indexed as

AgedAged, 80 and overCardiovascular DiseasesFemaleHearing Loss, Noise-InducedHumansLogistic ModelsMaleNoise, OccupationalOccupational DiseasesOccupational ExposureRetirementRisk FactorsTime Factors

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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.