Evidence map›Paper›PMID 35234658›Full record

ArticleJMIR formative research2022

Supporting Behavior Change in Sedentary Adults via Real-time Multidimensional Physical Activity Feedback: Mixed Methods Randomized Controlled Trial.

Max James Western, Martyn Standage, Oliver James Peacock, Tom Nightingale, Dylan Thompson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02432924 (The Effect of Using Combined Personalised Instantaneous and Multidimensional Physical Activity Feedback on Motivation and Behaviour), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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.

NCT02432924 nacompletednot on this map

The Effect of Using Combined Personalised Instantaneous and Multidimensional Physical Activity Feedback on Motivation and Behaviour

TypeinterventionalSponsorUniversity of BathRan2014 to 2015Enrolled57ConditionsMotor Activity, Cardiovascular Diseases, Type 2 Diabetes MellitusArmsInstant + Multidimensional Physical Activity Feedback
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Effects of habit formation interventions on physical activity habit strength: meta-analysis and meta-regression.The international journal of behavioral nutrition and physical activity · 2023
    Pooled it
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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 2 institutions in 1 country.

Max James WesternDepartment for Health, University of Bath, Bath, United Kingdom.ORCID https://orcid.org/0000-0003-1107-8498
Martyn StandageDepartment for Health, University of Bath, Bath, United Kingdom.ORCID https://orcid.org/0000-0002-9683-8590
Oliver James PeacockDepartment for Health, University of Bath, Bath, United Kingdom.ORCID https://orcid.org/0000-0002-2435-2903
Tom NightingaleSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0003-2947-4931
Dylan ThompsonDepartment for Health, University of Bath, Bath, United Kingdom.ORCID https://orcid.org/0000-0002-6312-1518
University of Bath · GBUniversity of Birmingham · GB

Funding

Medical Research Council MR/J00040X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundIncreasing physical activity (PA) behavior remains a public health priority, and wearable technology is increasingly being used to support behavior change efforts. Using wearables to capture and provide comprehensive, visually persuasive, multidimensional feedback with real-time support may be a promising way of increasing PA in inactive individuals.

objectiveThis study aims to explore whether a 6-week self-monitoring intervention using composite web-based multidimensional PA feedback with real-time daily feedback supports increased PA in adults.

methodsA 6-week, mixed methods, 2-armed exploratory randomized controlled trial with 6-week follow-up was used, whereby low to moderately active (PA level [PAL] <2.0) adults (mean age 51.3 years, SD 8.4 years; women 28/51, 55%) were randomly assigned to receive the self-monitoring intervention (36/51, 71%) or waiting list control (15/51, 29%). Assessment of PA across multiple health-harnessing PA dimensions (eg, PAL, weekly moderate to vigorous intensity PA, sedentary time, and steps), psychosocial cognitions (eg, behavioral regulation, barrier self-efficacy, and habit strength), and health were made at the prerandomization baseline at 6 and 12 weeks. An exploratory analysis of the mean difference and CIs was conducted using the analysis of covariance model. After the 12-week assessment, intervention participants were interviewed to explore their views on the program.

resultsThere were no notable differences in any PA outcome immediately after the intervention; however, at 12 weeks, moderate-to-large effects were observed with a mean difference in PAL of 0.09 (95% CI 0.02-0.15; effect size [Hedges g] 0.8), daily moderate-intensity PA of 24 (95% CI 0-45; Hedges g=0.6) minutes, weekly moderate-to-vigorous intensity PA of 195 (95% CI 58-331; Hedges g=0.8) minutes, and steps of 1545 (95% CI 581-2553; Hedges g=0.7). Descriptive analyses suggested that the differences in PA at 12 weeks were more pronounced in women and participants with lower baseline PA levels. Immediately after the intervention, there were favorable differences in autonomous motivation, controlled motivation, perceived competence for PA, and barrier self-efficacy, with the latter sustained at follow-up. Qualitative data implied that the intervention was highly informative for participants and that the real-time feedback element was particularly useful in providing tangible, day-to-day behavioral support.

conclusionsUsing wearable trackers to capture and present sophisticated multidimensional PA feedback combined with discrete real-time support may be a useful way of facilitating changes in behavior. Further investigation into the ways of optimizing the use of wearables in inactive participants and testing the efficacy of this approach via a robust study design is warranted.

trial registrationClinicalTrials.gov NCT02432924; https://clinicaltrials.gov/ct2/show/NCT02432924.

Indexed as

behavior changefeedbackphysical activitysedentary timewearables

Identifiers

PMID35234658
PMCPMC8928046
OpenAlexW3217744043

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.