Evidence map›Paper›PMID 41747140›Full record

ArticleJournal of occupational and environmental medicine2026

Shifting From Concept to Practice: The Co-adaptation of Tailored Health Education Training for Truck Drivers.

Mohsen Sayyah, James A King, Vicki Johnson, Louise Hull, Charlotte L Edwardson, Stacy A Clemes

Abstract read
In one paragraph

Article in Journal of occupational and environmental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mohsen SayyahFrom the School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom (M.S., J.A.K., S.A.C.); Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom (V.J., L.H., C.L.E.); Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom (L.H., C.L.E.).
James A King
Vicki Johnson
Louise Hull
Charlotte L Edwardson
Stacy A Clemes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo co-adapt the SHIFT-UK program into a scalable, accredited, health-focused training module for truck drivers.

methodsUsing a participatory co-creation framework, workshops were held with truck drivers, trainers, and managers. Discussions were transcribed verbatim, pseudo-anonymized, and analyzed using content analysis. Following accreditation and implementation of the co-adapted training module, post-session driver feedback was obtained via an online questionnaire.

resultsThe SHIFT-UK program was adapted into an accredited 7-hour driver training module and 1-hour "Short-SHIFT" module component, in partnership with 18 co-adaptors. Short-SHIFT was subsequently delivered to 5500 truck drivers (2023--2024) within their mandatory training. Feedback from 283 drivers revealed that 77% intended to make healthier lifestyle changes after experiencing Short-SHIFT.

conclusionsThis study demonstrates how participatory co-adaptation can effectively adapt and scale evidence-informed health promotion programs within commercial driver training systems, positively impacting drivers' health literacy.

Indexed as

Automobile DrivingHealth EducationHealth PromotionOccupational HealthTruck DriversHumansSurveys and QuestionnairesUnited Kingdomco-adaptationdriver healthimplementation scienceintervention adaptationlifestyle behavior changeoccupational health interventiontruck driver

Identifiers

PMID41747140
PMCPMC13378748

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.