Evidence map›Paper›PMID 37171985›Full record

Observational studyAnnals of work exposures and health2023

Physical Work Demands of Maintenance Workers on Onshore Petroleum Facilities in Norway: An Observational Study Utilizing Wearable Sensor Technology.

Svein O Tjøsvoll, Marius Steiro Fimland, Victor Gonzalez, Trine M Seeberg, Andreas Holtermann, Hilde Færevik, Øystein Wiggen

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Annals of work exposures and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Svein O TjøsvollDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU Norwegian University of Science and Technology, Edvard Griegs gate 8, Trondheim N-7491, Norway.ORCID 0000-0002-4844-2612
Marius Steiro FimlandDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU Norwegian University of Science and Technology, Edvard Griegs gate 8, Trondheim N-7491, Norway.
Victor GonzalezDepartment of Smart Sensor and Microsystems, SINTEF Digital, SINTEF AS, Dept. of Health Research, P.O. Box 124 Blindern, NO-0314 Oslo, Norway.
Trine M SeebergDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU Norwegian University of Science and Technology, Edvard Griegs gate 8, Trondheim N-7491, Norway.
Andreas HoltermannDepartment of Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 Copenhagen, Denmark.
Hilde FærevikDepartment of Health Research, SINTEF Digital, SINTEF AS, P.O. Box 4760 Torgaarden, NO-7465 Trondheim, Norway.
Øystein WiggenDepartment of Health Research, SINTEF Digital, SINTEF AS, P.O. Box 4760 Torgaarden, NO-7465 Trondheim, Norway.
SINTEF · NONorwegian University of Science and Technology · NONational Research Centre for the Working Environment · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHigh physical work demands can cause musculoskeletal disorders and sick leave in petroleum workers. However, our knowledge of their physical work demands is scarce and based on self-report. The objective of our study is to work towards closing this knowledge gap by assessing the physical work demands of onshore petroleum maintenance workers using body-worn sensors.

methodsA total of 46 of 69 eligible maintenance workers (37 mechanics and 9 process technicians) from three onshore petroleum facilities in Norway filled in a questionnaire and diary and wore five accelerometers and a heart rate sensor for up to six consecutive workdays. Work-related physical activity and postures were classified using rule-based modelling in a modified version of the validated Acti4 software.

resultsThe onshore maintenance petroleum workers were working an average of 10 h a day and spent on average this time with 48% (SD = 16.5) sitting, 1% (SD = 2.8) lying down, 39% (SD = 16.2) in light physical activity, and 9% (SD = 3.8) in moderate to vigorous physical activity. During work hours while at feet, we found arm elevation ≥60° to be 11% (SD = 7.1) (68 min), and forward bending of the trunk ≥60° to be 2% (SD = 2.2) (14 min). The workers spent 2% (SD = 2.5) (12 minu) of the workhours kneeling. We observed a high inter-individual variation for all these work exposures. Moreover, 26% (12) of the workers conducted static standing for >30% of the workday, and 17% (8) spent more than half of the work hours >33% of their estimated maximal cardiovascular capacity.

conclusionsWhile onshore maintenance petroleum workers on average spend about half of the workday sitting or lying down, the remaining worktime is spent with a rather high duration of arm elevation and forward bending. Quite high fraction of the workers spends much of the workhours in static standing and kneeling. We see a substantial variation in these work exposures between the workers. The findings indicate a need for preventive measures in how work is organized and performed.

Indexed as

Occupational ExposurePetroleumHumansNorwayPostureTechnologyPetroleumaccelerometryergonomicshuman factorsmanual labouroccupational health and safetyoccupational physical activityphysical exposureswork-related physical activity

Identifiers

PMID37171985
PMCPMC10324642
OpenAlexW4376273682

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.