Evidence map›Paper›PMID 26314577›Full record

Trial reportTrials2015

Multidimensional individualised Physical ACTivity (Mi-PACT)--a technology-enabled intervention to promote physical activity in primary care: study protocol for a randomised controlled trial.

Oliver J Peacock, Max J Western, Alan M Batterham, Afroditi Stathi, Martyn Standage, Alan Tapp, Paul Bennett, Dylan Thompson

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Analysing longitudinal wearable physical activity data using non-stationary time series models.The international journal of behavioral nutrition and physical activity · 2025
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  13. Energy balance components in persons with paraplegia: daily variation and appropriate measurement duration.The international journal of behavioral nutrition and physical activity · 2017
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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.

Oliver J PeacockDepartment for Health, University of Bath, Bath, BA2 7AY, UK. O.J.Peacock@bath.ac.uk.
Max J WesternDepartment for Health, University of Bath, Bath, BA2 7AY, UK. M.J.Western@bath.ac.uk.
Alan M BatterhamHealth and Social Care Institute, Teesside University, Middlesbrough, UK. A.Batterham@tees.ac.uk.
Afroditi StathiDepartment for Health, University of Bath, Bath, BA2 7AY, UK. A.Stathi@bath.ac.uk.
Martyn StandageDepartment for Health, University of Bath, Bath, BA2 7AY, UK. M.Standage@bath.ac.uk.
Alan TappBristol Business School, University of the West of England, Bristol, UK. Alan.Tapp@uwe.ac.uk.
Paul BennettDepartment for Health, University of Bath, Bath, BA2 7AY, UK. P.Bennett@bath.ac.uk.
Dylan ThompsonDepartment for Health, University of Bath, Bath, BA2 7AY, UK. D.Thompson@bath.ac.uk.

Funding

Biotechnology and Biological Sciences Research CouncilBritish Heart FoundationCancer Research UKChief Scientist OfficeMedical Research Council MR/J00040X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundLow physical activity is a major public health problem. New cost-effective approaches that stimulate meaningful long-term changes in physical activity are required, especially within primary care settings. It is becoming clear that there are various dimensions to physical activity with independent health benefits. Advances in technology mean that it is now possible to generate multidimensional physical activity 'profiles' that provide a more complete representation of physical activity and offer a variety of options that can be tailored to the individual. Mi-PACT is a randomised controlled trial designed to examine whether personalised multidimensional physical activity feedback and self-monitoring alongside trainer-supportive sessions increases physical activity and improves health outcomes in at-risk men and women. METHODS/

designWe aim to recruit 216 patients from within primary care aged 40 to 70 years and at medium or high risk of cardiovascular disease and/or type II diabetes mellitus. Adopting an unequal allocation ratio (intervention: control) of 2:1, participants will be randomised to one of two groups, usual care or the intervention. The control group will receive usual care from their general practitioner (GP) and standardised messages about physical activity for health. The intervention group will receive physical activity monitors and access to a web-based platform for a 3-month period to enable self-monitoring and the provision of personalised feedback regarding the multidimensional nature of physical activity. In addition, this technology-enabled feedback will be discussed with participants on 5 occasions during supportive one-to-one coaching sessions across the 3-month intervention. The primary outcome measure is physical activity, which will be directly assessed using activity monitors for a 7-day period at baseline, post intervention and at 12 months. Secondary measures (at these time-points) include weight loss, fat mass, and markers of metabolic control, motivation and well-being. DISCUSSION: Results from this study will provide insight into the effects of integrated physical activity profiling and self-monitoring combined with in-person support on physical activity and health outcomes in patients at risk of future chronic disease.

trial registrationISRCTN18008011 Trial registration date: 31 July 2013.

Indexed as

Health PromotionMotor ActivityRisk Reduction BehaviorTherapy, Computer-AssistedActigraphyAdultAgedCardiovascular DiseasesClinical ProtocolsDiabetes Mellitus, Type 2EnglandFemaleFormative FeedbackHealth Knowledge, Attitudes, PracticeHumansLife Style

Identifiers

PMID26314577
PMCPMC4552151

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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.