Evidence map›Paper›PMID 15570432›Full record

ArticleInternational archives of occupational and environmental health2005

Occupation-specific screening for future sickness absence: criterion validity of the trucker strain monitor (TSM).

Einar M De Croon, Roland W B Blonk, Judith K Sluiter, Monique H W Frings-Dresen

Abstract readValidation Study
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In one paragraph

Article in International archives of occupational and environmental health, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 77% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Einar M De CroonCoronel Institute for Occupational and Environmental Health, Academic Medical Center, Research Institute Amsterdam Center for Health and Health, Care Research (AmCOGG), Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands. e.m.decroon@amc.uva.nl
Roland W B Blonk
Judith K Sluiter
Monique H W Frings-Dresen
Academic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring psychological job strain may help occupational physicians to take preventive action at the appropriate time. For this purpose, the 10-item trucker strain monitor (TSM) assessing work-related fatigue and sleeping problems in truck drivers was developed.

objectivesThis study examined (1) test-retest reliability, (2) criterion validity of the TSM with respect to future sickness absence due to psychological health complaints and (3) usefulness of the TSM two-scales structure.

methodsThe TSM and self-administered questionnaires, providing information about stressful working conditions (job control and job demands) and sickness absence, were sent to a random sample of 2000 drivers in 1998. Of the 1123 responders, 820 returned a completed questionnaire 2 years later (response: 72%).

resultsThe TSM work-related fatigue scale, the TSM sleeping problems scale and the TSM composite scale showed satisfactory 2-year test-retest reliability (coefficient r=0.62, 0.66 and 0.67, respectively). The work-related fatigue, sleeping problems scale and composite scale had sensitivities of 61, 65 and 61%, respectively in identifying drivers with future sickness absence due to psychological health complaints. The specificity and positive predictive value of the TSM composite scale were 77 and 11%, respectively. The work-related fatigue scale and the sleeping problems scale were moderately strong correlated (r=0.62). However, stressful working conditions were differentially associated with the two scales.

conclusionsThe results support the test-retest reliability, criterion validity and two-factor structure of the TSM. In general, the results suggest that the use of occupation-specific psychological job strain questionnaires is fruitful.

Indexed as

Occupational ExposureSick LeaveAdultAutomobile DrivingCohort StudiesDenmarkFatigueHumansMaleMass ScreeningMiddle AgedProspective StudiesSensitivity and SpecificityStress, PsychologicalSurveys and Questionnaires

Identifiers

PMID15570432
OpenAlexW2105038428

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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.