Influence of Pokémon Go on Physical Activity: Study and Implications

Background Physical activity helps people maintain a healthy weight and reduces the risk for several chronic diseases. Although this knowledge is widely recognized, adults and children in many countries around the world do not get recommended amounts of physical activity. Although many interventions are found to be ineffective at increasing physical activity or reaching inactive populations, there have been anecdotal reports of increased physical activity due to novel mobile games that embed game play in the physical world. The most recent and salient example of such a game is Pokémon Go, which has reportedly reached tens of millions of users in the United States and worldwide. Objective The objective of this study was to quantify the impact of Pokémon Go on physical activity. Methods We study the effect of Pokémon Go on physical activity through a combination of signals from large-scale corpora of wearable sensor data and search engine logs for 32,000 Microsoft Band users over a period of 3 months. Pokémon Go players are identified through search engine queries and physical activity is measured through accelerometers. Results We find that Pokémon Go leads to significant increases in physical activity over a period of 30 days, with particularly engaged users (ie, those making multiple search queries for details about game usage) increasing their activity by 1473 steps a day on average, a more than 25% increase compared with their prior activity level (P<.001). In the short time span of the study, we estimate that Pokémon Go has added a total of 144 billion steps to US physical activity. Furthermore, Pokémon Go has been able to increase physical activity across men and women of all ages, weight status, and prior activity levels showing this form of game leads to increases in physical activity with significant implications for public health. In particular, we find that Pokémon Go is able to reach low activity populations, whereas all 4 leading mobile health apps studied in this work largely draw from an already very active population. Conclusions Mobile apps combining game play with physical activity lead to substantial short-term activity increases and, in contrast to many existing interventions and mobile health apps, have the potential to reach activity-poor populations. Future studies are needed to investigate potential long-term effects of these applications.

[1]  Sung Gyoo Park Medicine and Science in Sports and Exercise , 1981 .

[2]  J. Sallis,et al.  The determinants of physical activity and exercise. , 1985, Public health reports.

[3]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[4]  M. Pratt,et al.  Physical activity and health , 1996, BMJ.

[5]  R. Dishman,et al.  Increasing physical activity: a quantitative synthesis. , 1996, Medicine and science in sports and exercise.

[6]  A. Bauman,et al.  Environmental and policy interventions to promote physical activity. , 1998, American journal of preventive medicine.

[7]  N. Owen,et al.  Promoting physical activity: the new imperative for public health. , 2000, Health education research.

[8]  P. Skerrett,et al.  Physical activity and all-cause mortality: what is the dose-response relation? , 2001, Medicine and science in sports and exercise.

[9]  M. Trivedi,et al.  Physical activity dose-response effects on outcomes of depression and anxiety. , 2001, Medicine and science in sports and exercise.

[10]  C. Tudor-Locke,et al.  How Many Steps/Day Are Enough? , 2004, Sports medicine.

[11]  A. Marshall Challenges and opportunities for promoting physical activity in the workplace. , 2004, Journal of science and medicine in sport.

[12]  J. Salmon,et al.  Promoting physical activity participation among children and adolescents. , 2007, Epidemiologic reviews.

[13]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[14]  Philip Hingston,et al.  Considerations for the design of exergames , 2007, GRAPHITE '07.

[15]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.

[16]  M. Dobbins,et al.  School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6-18. , 2009, The Cochrane database of systematic reviews.

[17]  Ralf Steinmetz,et al.  Serious games for health: personalized exergames , 2010, ACM Multimedia.

[18]  Sandra L. Calvert,et al.  Exergames for Physical Education Courses: Physical, Social, and Cognitive Benefits. , 2011, Child development perspectives.

[19]  C. Tudor-Locke,et al.  Accelerometer steps/day translation of moderate-to-vigorous activity. , 2011, Preventive medicine.

[20]  Wanda Pratt,et al.  Descriptive analysis of physical activity conversations on Twitter , 2011, CHI Extended Abstracts.

[21]  J. Spence,et al.  How many steps/day are enough? for adults , 2011, The international journal of behavioral nutrition and physical activity.

[22]  J. Tucker,et al.  Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans. , 2011, American journal of preventive medicine.

[23]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[24]  Nikoleta Yiannoutsou,et al.  A Review of Mobile Location-based Games for Learning across Physical and Virtual Spaces , 2012, J. Univers. Comput. Sci..

[25]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[26]  Mor Naaman,et al.  Fitter with Twitter: Understanding Personal Health and Fitness Activity in Social Media , 2013, ICWSM.

[27]  Ryen W. White,et al.  From health search to healthcare: explorations of intention and utilization via query logs and user surveys , 2014, J. Am. Medical Informatics Assoc..

[28]  Julie B. Wang,et al.  Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial. , 2015, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[29]  T. Dwyer,et al.  Objectively Measured Daily Steps and Subsequent Long Term All-Cause Mortality: The Tasped Prospective Cohort Study , 2015, PloS one.

[30]  D. J. van der Valk,et al.  How accurately can sitting and the intensity of walking and cycling be classified using an accelerometer on the waist for the purpose of the “Global recommendations on physical activity for health”? , 2015 .

[31]  K. Servick Mind the phone. , 2015, Science.

[32]  Chul Lee,et al.  Persistent Sharing of Fitness App Status on Twitter , 2015, CSCW.

[33]  C. Thorup,et al.  Cardiac Patients’ Walking Activity Determined by a Step Counter in Cardiac Telerehabilitation: Data From the Intervention Arm of a Randomized Controlled Trial , 2016, Journal of medical Internet research.

[34]  Ryen W. White,et al.  Screening for Pancreatic Adenocarcinoma Using Signals From Web Search Logs: Feasibility Study and Results. , 2016, Journal of oncology practice.

[35]  W. Mechelen,et al.  The economic burden of physical inactivity: a global analysis of major non-communicable diseases , 2016, The Lancet.

[36]  Pushpraj Shukla,et al.  Early identification of adverse drug reactions from search log data , 2016, J. Biomed. Informatics.

[37]  Erika Check Hayden Mobile-phone health apps deliver data bounty , 2016, Nature.

[38]  S. Goenka,et al.  Scaling up physical activity interventions worldwide: stepping up to larger and smarter approaches to get people moving , 2016, The Lancet.

[39]  Julie B. Wang,et al.  Mobile and Wearable Device Features that Matter in Promoting Physical Activity. , 2016, Journal of mobile technology in medicine.

[40]  Maeve Serino,et al.  Pokémon Go and augmented virtual reality games: a cautionary commentary for parents and pediatricians , 2016, Current opinion in pediatrics.

[41]  Jure Leskovec,et al.  Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior , 2016, WSDM.

[42]  S. Carlson,et al.  The Physical Activity Guidelines for Americans , 2018, JAMA.