Evidence map›Paper›PMID 35198794›Full record

ArticleContemporary clinical trials communications2022

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.

Xiaoxi Yan, David M Dunne, Samuel G Impey, Brian Cunniffe, Carmen E Lefevre, Rodrigo Mazorra, James P Morton, David Tod, Graeme L Close, Rebecca Murphy and 1 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
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

11 authors at 6 institutions in 4 countries.

Xiaoxi YanCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857.
David M DunneApplied Behaviour Systems Ltd, London, N1 7GU, UK.
Samuel G ImpeyApplied Behaviour Systems Ltd, London, N1 7GU, UK.
Brian CunniffeApplied Behaviour Systems Ltd, London, N1 7GU, UK.
Carmen E LefevreApplied Behaviour Systems Ltd, London, N1 7GU, UK.
Rodrigo MazorraApplied Behaviour Systems Ltd, London, N1 7GU, UK.
James P MortonResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.
David TodResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.
Graeme L CloseResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.
Rebecca MurphyResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L2 2QP, UK.
Bibhas ChakrabortyCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857.
Liverpool John Moores University · GBDuke-NUS Medical School · SGEdith Cowan University · AUEnglish Institute of Sport · GBNational University of Singapore · SGUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt 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/

designWe 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: 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.

Indexed as

Adaptive interventionsAthletesBehavioral sciencesCarbohydrate periodizationMobile applicationSequential multiple assignment randomized trial

Identifiers

PMID35198794
PMCPMC8844798
OpenAlexW4210808317

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.