IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/5a4gp_v1.html
   My bibliography  Save this paper

Getting Moving Together; a field experiment on workplace physical activity

Author

Listed:
  • Sanders, Michael
  • Tindall, Karen
  • Gyani, Alex
  • Hume, Susannah
  • Kim, Min-Taec
  • Vilanti, Paul
  • Coghlan, Sarah
  • Flego, Anna

Abstract

Importance: Wearable devices are widely used in an effort to increase physical activity and consequently to improve health. The evidence for this is patchy, and it does not appear that wearables alone are sufficient to achieve this end. Objective: To determine whether social comparisons in a workplace setting can increase the effectiveness of wearables at promoting physical activity. Design: A four week randomized controlled trial conducted in November 2015 with employees of a large firm. Participants were randomised to one of two treatment conditions (control vs social comparison) at team level, and teams are formed into ‘leagues’ based on their activity levels before the study. Impact is measured through wearable devices issued to all participants throughout the study duration. Setting: Offices of a large Australian employer. Participants: 646 employees of an Australian employer, issued with wearable activity trackers prior to the beginning of the study. Intervention(s) (for clinical trials) or Exposure(s) (for observational studies). Participants used a wearable device to track steps. Participants had been wearing these for at least four weeks at the outset of the trial, establishing a baseline level of activity. Teams (n=646, k=49), were randomly assigned to either control (k=24), or a social comparison (k=25) treatment. All participants took part in a step-count competition between their team and others at their employer, in which their team’s ranking within a mini-league of five teams, as well as their own activity was communicated each week. The control group had access to the usual features of the wearable, while the social comparison group received additional information about the performance of the other teams in their league, including how far behind and ahead their nearest rival teams were. Main Outcome(s) and Measure(s): Number of steps taken per day on average, measured by the wearable devices issued to all participants. Results: A total of 646 participants were included in the study. Compared to the control, participants in the social comparison group took significantly more steps per day during the trial period (an additional 620 steps, 8.2%, p<0.001). These effects are largest in both relative and absolute terms for people whose prior steps were in the bottom quartile of steps (an additional 948 steps, 40%, p<0.001), while the effect on people with highest levels of activity was a precisely estimated null (an additional 6 steps, 0.01%, p=0.98). Conclusions and Relevance: Social comparison increased the effectiveness of wearables at improving physical activity, particularly for those with the lowest baseline activity.

Suggested Citation

  • Sanders, Michael & Tindall, Karen & Gyani, Alex & Hume, Susannah & Kim, Min-Taec & Vilanti, Paul & Coghlan, Sarah & Flego, Anna, 2021. "Getting Moving Together; a field experiment on workplace physical activity," SocArXiv 5a4gp_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:5a4gp_v1
    DOI: 10.31219/osf.io/5a4gp_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6001740a86541a060314f572/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/5a4gp_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    2. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    3. Noah J. Goldstein & Robert B. Cialdini & Vladas Griskevicius, 2008. "A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(3), pages 472-482, March.
    4. Todd Rogers & Avi Feller, 2018. "Reducing student absences at scale by targeting parents’ misbeliefs," Nature Human Behaviour, Nature, vol. 2(5), pages 335-342, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimant, Eugen, 2015. "On Peer Effects: Behavioral Contagion of (Un)Ethical Behavior and the Role of Social Identity," MPRA Paper 68732, University Library of Munich, Germany.
    2. Pinar Yildirim & Yanhao Wei & Christophe Bulte & Joy Lu, 2020. "Social network design for inducing effort," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 381-417, December.
    3. Dur, Robert & Fleming, Dimitry & van Garderen, Marten & van Lent, Max, 2021. "A social norm nudge to save more: A field experiment at a retail bank," Journal of Public Economics, Elsevier, vol. 200(C).
    4. Dimant, Eugen & van Kleef, Gerben A. & Shalvi, Shaul, 2020. "Requiem for a Nudge: Framing effects in nudging honesty," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 247-266.
    5. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    6. Löfgren, Åsa & Nordblom, Katarina, 2020. "A theoretical framework of decision making explaining the mechanisms of nudging," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 1-12.
    7. Li, Teng & Lu, Runjing, 2022. "Social undermining as a dark side of symbolic awards: Evidence from a regression discontinuity design," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).
    8. Gee, Laura K. & Kiyawat, Anoushka & Meer, Jonathan & Schreck, Michael J., 2024. "Pivotal or popular: The effects of social information and feeling pivotal on civic actions," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 404-413.
    9. Brade, Raphael, 2022. "Social Information and Educational Investment - Nudging Remedial Math Course Participation," MPRA Paper 113076, University Library of Munich, Germany.
    10. Isler, Ozan & Gächter, Simon, 2022. "Conforming with peers in honesty and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 75-86.
    11. Eugen Dimant & Tobias Gesche, 2021. "Nudging Enforcers: How Norm Perceptions and Motives for Lying Shape Sanctions," CESifo Working Paper Series 9385, CESifo.
    12. Ryo Takahashi, 2022. "Gender differences in tolerance for women's opinions and the role of social norms," Working Papers 2123, Waseda University, Faculty of Political Science and Economics.
    13. Perez-Truglia, Ricardo & Troiano, Ugo, 2018. "Shaming tax delinquents," Journal of Public Economics, Elsevier, vol. 167(C), pages 120-137.
    14. John A. List & James J. Murphy & Michael K. Price & Alexander G. James, 2019. "Do Appeals to Donor Benefits Raise More Money than Appeals to Recipient Benefits? Evidence from a Natural Field Experiment with Pick.Click.Give," NBER Working Papers 26559, National Bureau of Economic Research, Inc.
    15. Bicchieri, Cristina & Dimant, Eugen & Xiao, Erte, 2021. "Deviant or wrong? The effects of norm information on the efficacy of punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 209-235.
    16. Kayo Murakami & Hideki Shimada & Yoshiaki Ushifusa & Takanori Ida, 2022. "Heterogeneous Treatment Effects Of Nudge And Rebate: Causal Machine Learning In A Field Experiment On Electricity Conservation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1779-1803, November.
    17. Lucas Coffman & Clayton R. Featherstone & Judd B. Kessler, 2024. "A Model of Information Nudges," Boston College Working Papers in Economics 1077, Boston College Department of Economics.
    18. Dimant, Eugen, 2019. "Contagion of pro- and anti-social behavior among peers and the role of social proximity," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 66-88.
    19. Konar, Avishek & Wilson, Robyn & Roe, Brian E., 2013. "Heterogeniety of Farmer Choices: Do Perceptions of Risk, Control, Likelihood of Damage and Sociability Affect Outcomes?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150564, Agricultural and Applied Economics Association.
    20. Brade, Raphael & Himmler, Oliver & Jäckle, Robert, 2018. "Normatively Framed Relative Performance Feedback – Field Experiment and Replication," MPRA Paper 88830, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:5a4gp_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.