Evidence map›Paper›PMID 29907559›Full record

ArticleJournal of medical Internet research2018

Pokémon GO and Physical Activity in Asia: Multilevel Study.

Ben D Ma, Sai Leung Ng, Tim Schwanen, John Zacharias, Mudi Zhou, Ichiro Kawachi, Guibo Sun

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Leveraging mHealth Technologies for Public Health.JMIR public health and surveillance · 2024
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  11. Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020.The international journal of behavioral nutrition and physical activity · 2021
    Article
  12. Review
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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

7 authors.

Ben D MaDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-5556-7798
Sai Leung NgDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-1275-5075
Tim SchwanenTransport Studies Unit, School of Geography and Environment, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7376-5854
John ZachariasCollege of Architecture and Landscape, Peking University, Beijing, China.ORCID 0000-0002-1456-0143
Mudi ZhouDepartment of Mathematics, Imperial College London, London, United Kingdom.ORCID 0000-0001-7988-9567
Ichiro KawachiDepartment of Social and Behavioral Sciences, TH Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0002-1340-0981
Guibo SunDepartment of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-8493-2953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity has long been considered as an important component of a healthy lifestyle. Although many efforts have been made to promote physical activity, there is no effective global intervention for physical activity promotion. Some researchers have suggested that Pokémon GO, a location-based augmented reality game, was associated with a short-term increase in players' physical activity on a global scale, but the details are far from clear.

objectiveThe objective of our study was to study the relationship between Pokémon GO use and players' physical activity and how the relationship varies across players with different physical activity levels.

methodsWe conducted a field study in Hong Kong to investigate if Pokémon GO use was associated with physical activity. Pokémon GO players were asked to report their demographics through a survey; data on their Pokémon GO behaviors and daily walking and running distances were collected from their mobile phones. Participants (n=210) were Hong Kong residents, aged 13 to 65 years, who played Pokémon GO using iPhone 5 or 6 series in 5 selected types of built environment. We measured the participants' average daily walking and running distances over a period of 35 days, from 14 days before to 21 days after game installation. Multilevel modeling was used to identify and examine the predictors (including Pokémon GO behaviors, weather, demographics, and built environment) of the relationship between Pokémon GO use and daily walking and running distances.

resultsThe average daily walking and running distances increased by 18.1% (0.96 km, approximately 1200 steps) in the 21 days after the participants installed Pokémon GO compared with the average distances over the 14 days before installation (P<.001). However, this association attenuated over time and was estimated to disappear 24 days after game installation. Multilevel models indicated that Pokémon GO had a stronger and more lasting association among the less physically active players compared with the physically active ones (P<.001). Playing Pokémon GO in green space had a significant positive relationship with daily walking and running distances (P=.03). Moreover, our results showed that whether Pokémon GO was played, the number of days played, weather (total rainfall, bright sunshine, mean air temperature, and mean wind speed), and demographics (age, gender, income, education, and body mass index) were associated with daily walking and running distances.

conclusionsPokémon GO was associated with a short-term increase in the players' daily walking and running distances; this association was especially strong among less physically active participants. Pokémon GO can build new links between humans and green space and encourage people to engage in physical activity. Our results show that location-based augmented reality games, such as Pokémon GO, have the potential to be a global public health intervention tool.

Indexed as

AdolescentAdultAgedExerciseFemaleHong KongHumansMaleMiddle AgedVideo GamesYoung Adultexergamephysical activityPokémon Gopublic health interventionweather

Identifiers

PMID29907559
PMCPMC6026299

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.