Evidence map›Paper›PMID 27965211›Full record

ArticleBMJ (Clinical research ed.)2016

Gotta catch'em all! Pokémon GO and physical activity among young adults: difference in differences study.

Katherine B Howe, Christian Suharlim, Peter Ueda, Daniel Howe, Ichiro Kawachi, Eric B Rimm

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

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

  1. Pooled it
  2. Smart City and High-Tech Urban Interventions Targeting Human Health: An Equity-Focused Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
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  7. Review
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  12. Difference-in-differences analysis with repeated cross-sectional survey data.Health services & outcomes research methodology · 2025
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Katherine B HoweDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA khowe@mail.harvard.edu.
Christian SuharlimCenter for Health and Decision Science, Department of Health Policy and Management, Harvard TH Chan School of Public Health, Boston, MA, USA.
Peter UedaDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Daniel Howe
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, USA.
Eric B RimmDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the effect of playing Pokémon GO on the number of steps taken daily up to six weeks after installation of the game.

designCohort study using online survey data.

participantsSurvey participants of Amazon Mechanical Turk (n=1182) residing in the United States, aged 18 to 35 years and using iPhone 6 series smartphones.

main outcome measuresNumber of daily steps taken each of the four weeks before and six weeks after installation of Pokémon GO, automatically recorded in the "Health" application of the iPhone 6 series smartphones and reported by the participants. A difference in difference regression model was used to estimate the change in daily steps in players of Pokémon GO compared with non-players.

results560 (47.4%) of the survey participants reported playing Pokémon GO and walked on average 4256 steps (SD 2697) each day in the four weeks before installation of the game. The difference in difference analysis showed that the daily average steps for Pokémon GO players during the first week of installation increased by 955 additional steps (95% confidence interval 697 to 1213), and then this increase gradually attenuated over the subsequent five weeks. By the sixth week after installation, the number of daily steps had gone back to pre-installation levels. No significant effect modification of Pokémon GO was found by sex, age, race group, bodyweight status, urbanity, or walkability of the area of residence.

conclusionsPokémon GO was associated with an increase in the daily number of steps after installation of the game. The association was, however, moderate and no longer observed after six weeks.

Indexed as

ExerciseMobile ApplicationsSmartphoneVideo GamesWalkingAdolescentAdultAge FactorsBody Mass IndexCohort StudiesFemaleHumansInternetMaleRegression AnalysisSex Factors

Identifiers

PMID27965211
PMCPMC5154977

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.