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

Overview of attention for article published in BMC Public Health, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
5 news outlets
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10 X users

Citations

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49 Dimensions

Readers on

mendeley
311 Mendeley
Title
Truck drivers’ perceptions on wearable devices and health promotion: a qualitative study
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3323-3
Pubmed ID
Authors

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

Abstract

Professional 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. We 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. The 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. Wearable 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 307 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 57 18%
Researcher 37 12%
Student > Ph. D. Student 37 12%
Student > Bachelor 26 8%
Student > Doctoral Student 17 5%
Other 56 18%
Unknown 81 26%
Readers by discipline Count As %
Nursing and Health Professions 52 17%
Medicine and Dentistry 40 13%
Psychology 23 7%
Computer Science 15 5%
Social Sciences 15 5%
Other 69 22%
Unknown 97 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2021.
All research outputs
#856,316
of 23,342,092 outputs
Outputs from BMC Public Health
#901
of 15,202 outputs
Outputs of similar age
#18,097
of 367,492 outputs
Outputs of similar age from BMC Public Health
#23
of 366 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 367,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.