Evidence map›Paper›PMID 27475984›Full record

ArticleBMC public health2016

Truck drivers' perceptions on wearable devices and health promotion: a qualitative study.

Rama Greenfield, Ellen Busink, Cybele P Wong, Eva Riboli-Sasco, Geva Greenfield, Azeem Majeed, Josip Car, Petra A Wark

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 75 citations in OpenAlex.

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  15. A Context-Aware S-Health Service System for Drivers.Sensors (Basel, Switzerland) · 2017
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  16. "Digital health
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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

8 authors at 2 institutions in 2 countries.

Rama GreenfieldGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Ellen BusinkGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Cybele P WongGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Eva Riboli-SascoGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Geva GreenfieldGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Azeem MajeedGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Josip CarGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK.
Petra A WarkGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, The Reynolds Building, St Dunstan's Road, London, W6 8RP, UK. p.wark@imperial.ac.uk.
Imperial College London · GBNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProfessional truck drivers, as other shift workers, have been identified as a high-risk group for various health conditions including cardiovascular disease, obesity, diabetes, sleep apnoea and stress. Mobile health technologies can potentially improve the health and wellbeing of people with a sedentary lifestyle such as truck drivers. Yet, only a few studies on health promotion interventions related to mobile health technologies for truck drivers have been conducted. We aimed to explore professional truck drivers' views on health promotion delivered via mobile health technologies such as wearable devices.

methodsWe conducted a phenomenological qualitative study, consisting of four semi-structured focus groups with 34 full-time professional truck drivers in the UK. The focus groups were audio-taped, transcribed verbatim and analysed using thematic content analysis. We discussed drivers' perceptions of their health, lifestyle and work environment, and their past experience and expectations from mobile health technologies.

resultsThe participants viewed their lifestyle as unhealthy and were aware of possible consequences. They expressed the need and wish to change their lifestyle, yet perceived it as an inherent, unavoidable outcome of their occupation. Current health improvement initiatives were not always aligned with their working conditions. The participants were generally willing to use mobile health technologies such as wearable devices, as a preventive measure to avoid prospect morbidity, particularly cardiovascular diseases. They were ambivalent about privacy and the risk of their employer's monitoring their clinical data.

conclusionsWearable devices may offer new possibilities for improving the health and wellbeing of truck drivers. Drivers were aware of their unhealthy lifestyle. They were interested in changing their lifestyle and health. Drivers raised concerns regarding being continuously monitored by their employer. Health improvement initiatives should be aligned with the unique working conditions of truck drivers. Future research is needed to examine the impact of wearable devices on improving the health and wellbeing of professional drivers.

Indexed as

Attitude to HealthAutomobile DrivingHealth PromotionMotor VehiclesTelemedicineAdultAgedCardiovascular DiseasesDiabetes MellitusHumansMaleMiddle AgedObesityOccupational Health ServiceseHealthFocus groups, qualitative studyHealth promotionHealth technologyLifestylemHealthMotor vehiclesOccupational healthPublic healthShift workWearable devices

Identifiers

PMID27475984
PMCPMC4967500
OpenAlexW2500730032

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.