Evidence map›Paper›PMID 28521767›Full record

ArticleBMC public health2017

The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers.

Nicholas D Gilson, Toby G Pavey, Olivia Rl Wright, Corneel Vandelanotte, Mitch J Duncan, Sjaan Gomersall, Stewart G Trost, Wendy J Brown

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 9 pooled it
6.2field-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

24 citing papers in PubMed, 9 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review of Workplace Physical Activity Coaching.Journal of occupational rehabilitation · 2023
    Pooled it
  3. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023
    Pooled it
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  8. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
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  20. The role of a clinician amid the rise of mobile health technology.Journal of the American Medical Informatics Association : JAMIA · 2019
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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 4 institutions in 1 country.

Nicholas D GilsonThe University of Queensland, School of Human Movement and Nutrition Sciences, St Lucia Campus, Brisbane, Australia.
Toby G PaveySchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia.
Olivia Rl WrightThe University of Queensland, School of Human Movement and Nutrition Sciences, St Lucia Campus, Brisbane, Australia.
Corneel VandelanotteCentral Queensland University, School for Health, Medical and Social Science, Rockhampton, Australia. c.vandelanotte@cqu.edu.au.ORCID 0000-0002-4445-8094
Mitch J DuncanSchool of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, NSW, Australia.
Sjaan GomersallThe University of Queensland, School of Human Movement and Nutrition Sciences, St Lucia Campus, Brisbane, Australia.
Stewart G TrostSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia.
Wendy J BrownThe University of Queensland, School of Human Movement and Nutrition Sciences, St Lucia Campus, Brisbane, Australia.
The University of Queensland · AUQueensland University of Technology · AUCentral Queensland University · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases are high in truck drivers and have been linked to work routines that promote inactivity and poor diets. This feasibility study examined the extent to which an m-Health financial incentives program facilitated physical activity and healthy dietary choices in Australian truck drivers.

methodsNineteen men (mean [SD] age = 47.5 [9.8] years; BMI = 31.2 [4.6] kg/m

resultsNon-significant increases in the mean proportions of work time spent physically active were found at end-program and follow-up (+1%; 7 mins/day). Fruit (p = 0.023) and vegetable (p = 0.024) consumption significantly increased by one serve/day at end-program. Non-significant improvements in saturated fat (5%) and processed/refined sugar (1%) food/beverage choices were found at end-program and follow-up. Overall, 65% (n = 11) of drivers demonstrated positive changes in physical activity, and at least one dietary choice (e.g. saturated fat) at follow-up. Drivers found the financial incentives component of the program to be a less effective facilitator of change than the activity tracker and smartphone application, although this technology was easier to use for monitoring of physical activity than healthy dietary choices.

conclusionsNot all drivers benefitted from the program. However, positive changes for different health behaviours were observed in the majority of participants. Outcomes from this feasibility study inform future intervention development for studies with larger samples.

trial registrationANZCTR12616001513404 . Registered November 2nd, 2016 (retrospectively registered).

Indexed as

Health BehaviorMobile ApplicationsMotivationMotor VehiclesAccelerometryAdultAustraliaChoice BehaviorDietExerciseFeeding BehaviorFood PreferencesFruitHumansMaleMiddle AgedDietFinancial incentivesm-Health interventionPhysical activitySmall changesTruck drivers

Identifiers

PMID28521767
PMCPMC5437648
OpenAlexW2614151773

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.