Evidence map›Paper›PMID 30510892›Full record

ArticlePreventive medicine reports2019

Maintenance of behaviour change following a community-wide gamification based physical activity intervention.

Marc Ashley Harris

Abstract read
In one paragraph

Article in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Long-Term Perspectives of a School-Based Intervention to Promote Active School Transportation.International journal of environmental research and public health · 2020
    Article
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  16. E-Textiles for Healthy Ageing.Sensors (Basel, Switzerland) · 2019
    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

1 author.

Marc Ashley HarrisCardiff Metropolitan University, School of Sport and Health Sciences, United Kingdom of Great Britain and Northern Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gamification refers to the use of game mechanics (e.g. competition, point scoring, progress visualisation and task setting) to engage and motivate people to achieve an end goal. Public health programs that incorporate gamification-based approaches which aim to improve the public's health have grown in popularity, however most commonplace are individualistic, smartphone-based applications and few studies have been conducted on community-wide interventions. Furthermore, the few studies which have been conducted have relied on small sample sizes with short-term follow-up. In view of this gap in current understanding, this study explored the impact of a community-wide gamified intervention, called 'Beat the Street' (in Reading UK) on levels of physical activity at 1 and 2-years post-intervention (between 2014 and 2016). Data were available for N = 1567 participants at one-year post-intervention and N = 723 participants at 2-years post-intervention. A Pretest-Posttest analysis revealed a 11% and 13% decrease in levels of inactivity at 1 and 2-years post-intervention respectively. Furthermore, participants who were inactive at baseline reported undertaking 3.4 and 3.8 days of activity at 1 and 2-years post-intervention, respectively. These findings provide promising preliminary evidence that gamification may be effective for decreasing physical inactivity and game-design mechanisms which may support behaviour change are discussed.

Indexed as

CommunityGamificationInterventionPhysical activityTechnology

Identifiers

PMID30510892
PMCPMC6260258

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.