Evidence map›Paper›PMID 24884543›Full record

ArticleBMC public health2014

Is a single item stress measure independently associated with subsequent severe injury: a prospective cohort study of 16,385 forest industry employees.

Simo Salminen, Anne Kouvonen, Aki Koskinen, Matti Joensuu, Ari Väänänen

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Item-Level Psychometric Analysis of the Psychosocial Processes at Work Scale (PROPSIT) in Workers.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Teamwork and Safety Climate in Homecare: A Mixed Method Study.International journal of environmental research and public health · 2018
    Article
  10. Article
  11. 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

5 authors.

Simo Salminen
Anne KouvonenUKCRC Centre of Excellence for Public Health (NI), Queen's University, Belfast, UK. anne.kouvonen@helsinki.fi.
Aki Koskinen
Matti Joensuu
Ari Väänänen

Funding

Medical Research Council MR/K023241/1
6 · The paper itself

Abstract

backgroundA previous review showed that high stress increases the risk of occupational injury by three- to five-fold. However, most of the prior studies have relied on short follow-ups. In this prospective cohort study we examined the effect of stress on recorded hospitalised injuries in an 8-year follow-up.

methodsA total of 16,385 employees of a Finnish forest company responded to the questionnaire. Perceived stress was measured with a validated single-item measure, and analysed in relation recorded hospitalised injuries from 1986 to 2008. We used Cox proportional hazard regression models to examine the prospective associations between work stress, injuries and confounding factors.

resultsHighly stressed participants were approximately 40% more likely to be hospitalised due to injury over the follow-up period than participants with low stress. This association remained significant after adjustment for age, gender, marital status, occupational status, educational level, and physical work environment.

conclusionsHigh stress is associated with an increased risk of severe injury.

Indexed as

ForestsStress, PsychologicalAdultCohort StudiesFemaleFinlandHumansInjury Severity ScoreMaleMiddle AgedOccupational Health ServicesOccupational InjuriesProspective StudiesRisk FactorsSurveys and QuestionnairesWorkplace

Identifiers

PMID24884543
PMCPMC4047775

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.