Evidence map›Paper›PMID 31333202›Full record

ArticleJMIR serious games2019

Effects of Social Interaction Mechanics in Pervasive Games on the Physical Activity Levels of Older Adults: Quasi-Experimental Study.

Luciano Henrique De Oliveira Santos, Kazuya Okamoto, Silvana Schwerz Funghetto, Adriana Schüler Cavalli, Shusuke Hiragi, Goshiro Yamamoto, Osamu Sugiyama, Carla Denise Castanho, Tomoki Aoyama, Tomohiro Kuroda

Open access · goldAbstract read
In one paragraph

Article in JMIR serious games, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
12.1field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 2 countries.

Luciano Henrique De Oliveira SantosGraduate School of Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0126-6583
Kazuya OkamotoGraduate School of Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-9079-2253
Silvana Schwerz FunghettoFaculty UnB Ceilândia, University of Brasília, Brasília, Brazil.ORCID http://orcid.org/0000-0002-9332-9029
Adriana Schüler CavalliEscola Superior de Educação Física, Federal University of Pelotas, Pelotas, Brazil.ORCID http://orcid.org/0000-0002-0436-9935
Shusuke HiragiGraduate School of Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-1629-6195
Goshiro YamamotoDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.ORCID http://orcid.org/0000-0002-2014-7195
Osamu SugiyamaPreemptive Medicine & Lifestyle-Related Disease Research Center, Kyoto University Hospital, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0190-1321
Carla Denise CastanhoGraduate Program in Informatics, University of Brasília, Brasília, Brazil.ORCID http://orcid.org/0000-0002-7328-5479
Tomoki AoyamaGraduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-3512-054X
Tomohiro KurodaGraduate School of Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-1472-7203
Kyoto University · JPUniversidade de Brasília · BRKyoto University Hospital · JPUniversidade Federal de Pelotas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel genre of pervasive games, which aim to create more fun and engaging experiences by promoting deeper immersion, could be a powerful strategy to stimulate physical activity among older adults. To use these games more effectively, it is necessary to understand how different design elements affect player behavior.

objectiveThe aim was to vary a specific design element of pervasive games for older adults, namely social interaction, to test the effect on levels of physical activity.

methodsOver 4 weeks, two variations of the same pervasive game were compared: social interaction for the test group and no social interaction for the control group. In both versions, players had to walk to physical locations and collect virtual cards, but the social interaction version allowed people to collaborate to obtain more cards. Weekly step counts were used to evaluate the effect on each group, and the number of places visited was used as an indicator of play activity.

resultsA total of 32 participants were recruited (no social interaction=15, social interaction=17); 18 remained until the end of the study (no social interaction=7, social interaction=11). Step counts during the first week were used as the baseline (no social interaction: mean 17,099.4, SE 3906.5; social interaction: mean 17,981.9, SE 2171.1). For the following weeks, changes to individual baseline were as follows for no social interaction (absolute/proportional): 383.8 (SE 563.8)/1.1% (SE 4.3%), 435.9 (SE 574.5)/2.2% (SE 4.6%), and -106.1 (SE 979.9)/-2.6% (SE 8.1%) for weeks 2, 3, and 4, respectively. For social interaction they were 3841.9 (SE 1425.4)/21.7% (SE 5.1%), 2270.6 (SE 947.1)/16.5% (SE 4.4%), and 2443.4 (SE 982.6)/17.9% (SE 4.7%) for weeks 2, 3, and 4, respectively. Analysis of group effect was significant (absolute change: η

conclusionsSocial interaction design elements of the pervasive game may have some positive effects on the promotion of physical activity, although other factors might also have influenced this effect.

trial registrationJapan Medical Association Clinical Trial Registration Number JMA-IIA00314; https://dbcentre3.jmacct.med.or.jp/JMACTR/App/JMACTRS06/JMACTRS06.aspx?seqno=7274 (Archived by WebCite at http://www.webcitation.org/761a6MVAy).

Indexed as

agedpervasive gamesphysical activitysocial interaction

Identifiers

PMID31333202
PMCPMC6681637
OpenAlexW2964140184

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.