Evidence map›Paper›PMID 33732607›Full record

ArticlePreventive medicine reports2021

Examining moderators of the effectiveness of a web- and video-based computer-tailored physical activity intervention.

Quyen G To, Mitch J Duncan, Camille E Short, Ronald C Plotnikoff, W Kerry Mummery, Stephanie Alley, Stephanie Schoeppe, Amanda Rebar, Corneel Vandelanotte

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. 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
–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

2 citing papers in PubMed.

  1. Trial
  2. Trial
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

9 authors.

Quyen G ToCentral Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia.
Mitch J DuncanThe University of Newcastle, School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Newcastle, Australia.
Camille E ShortThe University of Melbourne, Faculty of Medicine, Dentistry and Health Science, Melbourne School of Psychological Sciences and Melbourne School of Health Sciences, Parkville, Australia.
Ronald C PlotnikoffThe University of Newcastle, School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Newcastle, Australia.
W Kerry MummeryThe University of Alberta, Faculty of Kinesiology, Sport and Recreation, Edmonton, Alberta, Canada.
Stephanie AlleyCentral Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia.
Stephanie SchoeppeCentral Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia.
Amanda RebarCentral Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia.
Corneel VandelanotteCentral Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding for whom behaviour change interventions work is important, however there is a lack of studies examining potential moderators in such interventions. This study investigated potential moderators on the effectiveness of a computer-tailored intervention to increase physical activity among Australian adults. People who had <150 min of moderate-vigorous physical activity (MVPA) a week, able to speak and read English, aged ≥18 years, lived in Australia, and had internet access were eligible to participate. Participants recruited through social media, emails, and third-party databases, were randomly assigned to either the control (n = 167) or intervention groups (n = 334). Physical activity was measured objectively by ActiGraph GT3X and also by self-report at baseline and three months. Three-way interaction terms were tested to identify moderators (i.e., demographic characteristics, BMI, and perceived neighbourhood walkability). The results showed that the three-way interaction was marginally significant for sex on accelerometer measured MVPA/week (p = 0.061) and steps/day (p = 0.047). The intervention appeared to be more effective for women compared to men. No significant three-way interactions were found for the other potential moderators. Strategies to improve levels of personalisation may be needed so that physical activity interventions can be better tailored to different subgroups, especially sex, and therefore improve intervention effectiveness.

Indexed as

ExerciseModeration effectPersonalizationRCT

Identifiers

PMID33732607
PMCPMC7937773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.