Evidence map›Paper›PMID 33143665›Full record

ArticleBMC public health2020

The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact.

Sarah Ann Buckingham, Karyn Morrissey, Andrew James Williams, Lisa Price, John Harrison

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03169179 (Physical Activity Wearables in the Police Force), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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.

NCT03169179 nacompletednot on this map

Physical Activity Wearables in the Police Force: The PAW-Force Trial

TypeinterventionalSponsorUniversity of ExeterRan2017 to 2018Enrolled182ConditionsPhysical Activity, Health BehaviorArmsFitbit and Bupa Boost app
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. Effects of a mobile health intervention on health-related outcomes in Japanese office workers: a pilot study.International journal of occupational medicine and environmental health · 2024
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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

5 authors at 3 institutions in 1 country.

Sarah Ann BuckinghamEuropean Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK. sab246@exeter.ac.uk.ORCID http://orcid.org/0000-0003-2215-5516
Karyn MorrisseyEuropean Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.
Andrew James WilliamsEuropean Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.
Lisa PriceSport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
John HarrisonOccupational Health Support Unit, Devon and Cornwall Police, Middlemoor, Exeter, UK.
Royal Cornwall Hospital Trust · GBUniversity of Exeter · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolicing is a highly stressful and increasingly sedentary occupation. The study aim was to assess the acceptability and impact of a mobile health (mHealth) technology intervention (Fitbit® activity monitor and 'Bupa Boost' smartphone app) to promote physical activity (PA) and reduce sedentary time in the police force.

methodsSingle-group, pre-post, mixed methods pilot study. Police officers and staff (n = 180) were recruited from two police forces in South West England. Participants used the technology for 12 weeks (an 'individual' then 'social' phase) followed by 5 months of optional use. Data sources included Fitbit®-recorded objective step count, questionnaire surveys and semi-structured interviews (n = 32). Outcome assessment points were baseline (week 0), mid-intervention (week 6), post-intervention (week 12) and follow-up (month 8). Paired t-tests were used to investigate changes in quantitative outcomes. Qualitative analysis involved framework and thematic analysis.

resultsChanges in mean daily step count were non-significant (p > 0.05), but self-reported PA increased in the short term (e.g. + 465.4 MET-minutes/week total PA baseline to week 12, p = 0.011) and longer term (e.g. + 420.5 MET-minutes/week moderate-to-vigorous PA baseline to month 8, p = 0.024). The greatest impact on behaviour was perceived by less active officers and staff. There were no significant changes in sedentary time; the qualitative findings highlighted the importance of context and external influences on behaviour. There were no statistically significant changes (all p-values > 0.05) in any secondary outcomes (physical and mental health-related quality of life, perceived stress and perceived productivity), with the exception of an improvement in mental health-related quality of life (SF-12 mental component score + 1.75 points, p = 0.020) from baseline to month 8. Engagement with and perceived acceptability of the intervention was high overall, but a small number of participants reported negative physical (skin irritation) and psychological (feelings of guilt and anxiety) consequences of technology use. Individual app features (such as goal-setting and self-monitoring) were generally preferred to social components (social comparison, competitions and support).

conclusionsmHealth technology is an acceptable and potentially impactful intervention for increasing PA in the police force. The intervention was less useful for reducing sedentary time and the impact on secondary outcomes is unclear.

trial registrationNCT03169179 (registered 30th May 2017).

Indexed as

PoliceQuality of LifeEnglandExerciseHumansPilot ProjectsBehaviour changeMobile healthPhysical activityPolice forceSedentary behaviour

Identifiers

PMID33143665
PMCPMC7607613
OpenAlexW3097008591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.