The Smart City Active Mobile Phone Intervention (SCAMPI) study to promote physical activity through active transportation in healthy adults: a study protocol for a randomised controlled trial

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

The global pandemic of physical inactivity represents a considerable public health challenge. Active transportation (i.e., walking or cycling for transport) can contribute to greater total physical activity levels. Mobile phone-based programs can promote behaviour change, but no study has evaluated whether such a program can promote active transportation in adults. This study protocol presents the design and methodology of The Smart City Active Mobile Phone Intervention (SCAMPI), a randomised controlled trial to promote active transportation via a smartphone application (app) with the aim to increase physical activity.

Methods/design

A two-arm parallel randomised controlled trial will be conducted in Stockholm County, Sweden. Two hundred fifty adults aged 20–65 years will be randomised to either monitoring of active transport via the TRavelVU app (control), or to a 3-month evidence-based behaviour change program to promote active transport and monitoring of active travel via the TRavelVU Plus app (intervention). The primary outcome is moderate-to-vigorous intensity physical activity (MVPA in minutes/day) (ActiGraph wGT3x-BT) measured post intervention. Secondary outcomes include: time spent in active transportation measured via the TRavelVU app, perceptions about active transportation (the Transport and Physical Activity Questionnaire (TPAQ)) and health related quality of life (RAND-36). Assessments are conducted at baseline, after the completed intervention (after 3 months) and 6 months post randomisation.

Discussion

SCAMPI will determine the effectiveness of a smartphone app to promote active transportation and physical activity in an adult population. If effective, the app has potential to be a low-cost intervention that can be delivered at scale.

Trial registration

ClinicalTrials.gov NCT03086837; 22 March, 2017.

Related collections

Most cited references 54

Record: found
Abstract: found
Article: found

Multiple imputation using chained equations: Issues and guidance for practice

Ian R White, Patrick Royston, Angela Wood (2011)

Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.

0 comments Cited 1743 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials

An-Wen Chan, Jennifer Tetzlaff, Peter C. Gøtzsche … (2014)

High quality protocols facilitate proper conduct, reporting, and external review of clinical trials. However, the completeness of trial protocols is often inadequate. To help improve the content and quality of protocols, an international group of stakeholders developed the SPIRIT 2013 Statement (Standard Protocol Items: Recommendations for Interventional Trials). The SPIRIT Statement provides guidance in the form of a checklist of recommended items to include in a clinical trial protocol. This SPIRIT 2013 Explanation and Elaboration paper provides important information to promote full understanding of the checklist recommendations. For each checklist item, we provide a rationale and detailed description; a model example from an actual protocol; and relevant references supporting its importance. We strongly recommend that this explanatory paper be used in conjunction with the SPIRIT Statement. A website of resources is also available (www.spirit-statement.org). The SPIRIT 2013 Explanation and Elaboration paper, together with the Statement, should help with the drafting of trial protocols. Complete documentation of key trial elements can facilitate transparency and protocol review for the benefit of all stakeholders.

0 comments Cited 1660 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

Susan Michie, Michelle Richardson, Marie Johnston … (2014)

CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.

0 comments Cited 1631 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Anna Ek:

ORCID: http://orcid.org/0000-0002-2179-8408

anna.ek@ki.se

Christina Alexandrou: christina.alexandrou@ki.se

Christine Delisle Nyström: christine.delisle.nystrom@ki.se

Artur Direito: a.direito@ucl.ac.uk

Ulf Eriksson: ulf.eriksson@trivector.se

Ulf Hammar: ulf.hammar@ki.se

Pontus Henriksson: pontus.henriksson@ki.se

Ralph Maddison: ralph.maddison@deakin.edu.au

Ylva Trolle Lagerros: ylva.trolle@ki.se

Marie Löf: marie.lof@ki.se

Journal

Journal ID (nlm-ta): BMC Public Health

Journal ID (iso-abbrev): BMC Public Health

Title: BMC Public Health

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2458

Publication date (Electronic): 16 July 2018

Publication date PMC-release: 16 July 2018

Publication date Collection: 2018

Volume: 18

Electronic Location Identifier: 880

Affiliations

[1 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Biosciences and Nutrition, Karolinska Institutet, ; Group MLÖ, 141 83 Huddinge, Sweden

[2 ]Healthy Active Living and Obesity (HALO) Research Group, Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, 401 Smyth Road, Ottawa, ON K1H 8L1 Canada

[3 ]ISNI 0000000121901201, GRID grid.83440.3b, Centre for Behaviour Change, , University College London, ; Alexandra House, 17-19 Queen Square, London, WC1N 3AR UK

[4 ]Trivector Traffic, Barnhusgatan 16, 111 23 Stockholm, Sweden

[5 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Institute of Environmental Medicine, C6, Biostatistics, Karolinska Institutet, ; 210, 171 77 Stockholm, PO Sweden

[6 ]ISNI 0000 0001 0526 7079, GRID grid.1021.2, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, , Deakin University, ; 221 Burwood Highway, Burwood, Melbourne, VIC 3125 Australia

[7 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, ; Eugeniahemmet T2, 171 76 Stockholm, Sweden

[8 ]ISNI 0000 0000 9241 5705, GRID grid.24381.3c, Clinic of Endocrinology, Metabolism and Diabetes, Department of Medicine, , Karolinska University Hospital, ; 141 86 Huddinge, Sweden

Author information

Anna Ek http://orcid.org/0000-0002-2179-8408

Article

Publisher ID: 5658

DOI: 10.1186/s12889-018-5658-4

PMC ID: 6048804

PubMed ID: 30012116

SO-VID: 51af37f1-5417-4059-8300-bc838022b8be

License:

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 22 February 2018

Date accepted : 1 June 2018

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100001861, Forskningsrådet för Arbetsliv och Socialvetenskap;

Award ID: 2016-00138

Award Recipient : Marie Löf

Custom metadata

ScienceOpen disciplines: Public health

Keywords: accelerometer,active transport,application,behaviour change,mhealth,smartphone,physical activity,walkability

Data availability:

ScienceOpen disciplines: Public health

Keywords: accelerometer, active transport, application, behaviour change, mhealth, smartphone, physical activity, walkability

The Smart City Active Mobile Phone Intervention (SCAMPI) study to promote physical activity through active transportation in healthy adults: a study protocol for a randomised controlled trial

Read this article at

Abstract

Background

Methods/design

Discussion

Trial registration

Related collections

UCL: UN SDG 03 Good Health and Well-Being

Most cited references 54

Multiple imputation using chained equations: Issues and guidance for practice

SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials

The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

Author and article information

Contributors

Journal

Affiliations

Author information

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 141

Cited by 13

Most referenced authors 1,029