A pilot sequential multiple assignment randomized trial (SMART) protocol for developing an adaptive coaching intervention around a mobile application for athletes to improve carbohydrate periodization behavior.

Adaptive interventions Athletes Behavioral sciences Carbohydrate periodization Mobile application Sequential multiple assignment randomized trial

Journal

Contemporary clinical trials communications
ISSN: 2451-8654
Titre abrégé: Contemp Clin Trials Commun
Pays: Netherlands
ID NLM: 101671157

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 13 03 2021
revised: 23 12 2021
accepted: 30 01 2022
entrez: 24 2 2022
pubmed: 25 2 2022
medline: 25 2 2022
Statut: epublish

Résumé

It has recently been identified that manipulating carbohydrate availability around exercise activity can enhance training-induced metabolic adaptations. Despite this approach being accepted in the athletic populations, athletes do not systematically follow the guidelines. Digital environments appear to allow nutritionists to deliver this intervention at scale, reducing expensive human coaching time. Yet, digitally delivered dietary behavior change interventions for athletes and the coaching strategy to support them are still novel concepts within sports nutrition. We aim to recruit 900 athletes across the UK. 500 athletes will be recruited to test the feasibility of a novel menu planner mobile application with coaching for 6 weeks. 250 athletes with pre-existing nutritionist support will also be recruited as control. We will then conduct a 4-week pilot sequential multiple assignment randomized trial (SMART) with an additional 150 athletes. In the SMART, athletes will be given the application and additional coaching according to their engagement responses. The primary outcomes are the mobile application and coach uptake, retention, engagement, and success in attaining carbohydrate periodization behavior. Secondary outcomes are changes in goal, weight, carbohydrate periodization self-efficacy, and beliefs about consequences. Due to the high attrition nature of digital interventions, all quantitative analyses will be carried out based on both the intention-to-treat and per-protocol principles. This study will be the first to investigate improving carbohydrate periodization using a digital approach and tailored coaching strategies under this context. Foundational evidence from this study will provide insights into the feasibility of the digital approach.

Sections du résumé

BACKGROUND BACKGROUND
It has recently been identified that manipulating carbohydrate availability around exercise activity can enhance training-induced metabolic adaptations. Despite this approach being accepted in the athletic populations, athletes do not systematically follow the guidelines. Digital environments appear to allow nutritionists to deliver this intervention at scale, reducing expensive human coaching time. Yet, digitally delivered dietary behavior change interventions for athletes and the coaching strategy to support them are still novel concepts within sports nutrition.
METHODS/DESIGN METHODS
We aim to recruit 900 athletes across the UK. 500 athletes will be recruited to test the feasibility of a novel menu planner mobile application with coaching for 6 weeks. 250 athletes with pre-existing nutritionist support will also be recruited as control. We will then conduct a 4-week pilot sequential multiple assignment randomized trial (SMART) with an additional 150 athletes. In the SMART, athletes will be given the application and additional coaching according to their engagement responses. The primary outcomes are the mobile application and coach uptake, retention, engagement, and success in attaining carbohydrate periodization behavior. Secondary outcomes are changes in goal, weight, carbohydrate periodization self-efficacy, and beliefs about consequences. Due to the high attrition nature of digital interventions, all quantitative analyses will be carried out based on both the intention-to-treat and per-protocol principles.
DISCUSSION CONCLUSIONS
This study will be the first to investigate improving carbohydrate periodization using a digital approach and tailored coaching strategies under this context. Foundational evidence from this study will provide insights into the feasibility of the digital approach.

Identifiants

pubmed: 35198794
doi: 10.1016/j.conctc.2022.100899
pii: S2451-8654(22)00016-3
pmc: PMC8844798
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100899

Informations de copyright

© 2022 The Authors. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

☐ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☒The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: The app was developed by Applied Behavior Systems Ltd. Ms Yan, Mr Dunne, Dr Impey, Dr Lefevre, Dr Mazorra are co-founders of the company. Dr Cunniffe is also an advisor of the company. The rest of the authors have no conflicts of interest in the authorship or publication of this study.The app was developed by Applied Behavior Systems Ltd. Ms. Yan, Mr. Dunne, Dr. Impey, Dr. Lefevre, Dr. Mazorra are co-founders of the company. Dr. Cunniffe is also an advisor of the company. The rest of the authors have no conflicts of interest in the authorship or publication of this study.

Références

Science. 2018 Nov 16;362(6416):781-787
pubmed: 30442803
BMC Med Res Methodol. 2021 Sep 30;21(1):200
pubmed: 34592951
Nutrients. 2016 Nov 25;8(12):
pubmed: 27897989
NPJ Digit Med. 2020 Feb 17;3:21
pubmed: 32128451
Implement Sci. 2011 Apr 23;6:42
pubmed: 21513547
J Sports Sci. 2019 Nov;37(21):2467-2474
pubmed: 31345110
Physiol Rep. 2016 May;4(10):
pubmed: 27225627
Stat Med. 2005 May 30;24(10):1455-81
pubmed: 15586395
J Physiol. 2001 Oct 1;536(Pt 1):295-304
pubmed: 11579177
Sports Med. 2018 May;48(5):1031-1048
pubmed: 29453741
J Med Internet Res. 2006 Jun 16;8(2):e9
pubmed: 16867972
J Med Internet Res. 2018 Nov 19;20(11):e12052
pubmed: 30455167
Clin Trials. 2014 May 1;11(4):393-399
pubmed: 24784487
Assessment. 2009 Mar;16(1):16-30
pubmed: 18703821
Int J Sport Nutr Exerc Metab. 2017 Aug;27(4):297-304
pubmed: 28387576
Acta Physiol Scand. 1967 Oct-Nov;71(2):140-50
pubmed: 5584523
J Med Internet Res. 2015 Mar 02;17(3):e56
pubmed: 25732936
Health Commun. 2016 Dec;31(12):1517-26
pubmed: 27135826
Sports Med. 2017 Mar;47(Suppl 1):51-63
pubmed: 28332115
JMIR Form Res. 2019 May 10;3(2):e13324
pubmed: 31094322
Int J Sport Nutr Exerc Metab. 2011 Jun;21(3):248-61
pubmed: 21719906
Transl Behav Med. 2021 May 25;11(5):1037-1048
pubmed: 33085767
Sports Med. 2015 Nov;45(11):1511-22
pubmed: 26243016
Arch Intern Med. 2012 May 28;172(10):789-96
pubmed: 22636824
Psychol Methods. 2012 Dec;17(4):478-94
pubmed: 23025434
JMIR Mhealth Uhealth. 2017 Dec 19;5(12):e197
pubmed: 29258981
Int J Sport Nutr Exerc Metab. 2019 Mar 1;29(2):141-151
pubmed: 30632439
Front Physiol. 2018 Dec 03;9:1732
pubmed: 30559680

Auteurs

Xiaoxi Yan (X)

Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857.
Applied Behaviour Systems Ltd, London, N1 7GU, UK.

David M Dunne (DM)

Applied Behaviour Systems Ltd, London, N1 7GU, UK.
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.

Samuel G Impey (SG)

Applied Behaviour Systems Ltd, London, N1 7GU, UK.
Center for Exercise and Sports Science Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.

Brian Cunniffe (B)

Applied Behaviour Systems Ltd, London, N1 7GU, UK.
Institute of Sport, Exercise and Health (ISEH), London, W1T 7HA, UK.

Carmen E Lefevre (CE)

Applied Behaviour Systems Ltd, London, N1 7GU, UK.
Centre for Behaviour Change, University College London, London, WC1E 6BT, UK.

Rodrigo Mazorra (R)

Applied Behaviour Systems Ltd, London, N1 7GU, UK.

James P Morton (JP)

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.

David Tod (D)

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.

Graeme L Close (GL)

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.

Rebecca Murphy (R)

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.

Bibhas Chakraborty (B)

Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857.
Department of Statistics and Data Science, National University of Singapore, Singapore, 119077.
Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, 27708, United States.

Classifications MeSH