Jump to ContentJump to Main Navigation
Show Summary Details
More options …

International Journal of Adolescent Medicine and Health

Editor-in-Chief: Merrick, Joav

Editorial Board: Birch, Diana ML / Blum, Robert W. / Greydanus, MD, Dr. HC (Athens), Donald E. / Hardoff, Daniel / Kerr, Mike / Levy, Howard B / Morad, Mohammed / Omar, Hatim A. / de Paul, Joaquin / Rydelius, Per-Anders / Shek, Daniel T.L. / Sher, Leo / Silber, Tomas J. / Towns, Susan / Urkin, Jacob / Verhofstadt-Deneve, Leni / Zeltzer, Lonnie / Tenenbaum, Ariel


CiteScore 2018: 0.79

SCImago Journal Rank (SJR) 2018: 0.350
Source Normalized Impact per Paper (SNIP) 2018: 0.476

Online
ISSN
2191-0278
See all formats and pricing
More options …
Ahead of print

Issues

Is a smartphone application effective in improving physical activity among medical school students? Results from a quasi-experimental study

Naveen Pentakota
  • Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Gomathi RamaswamyORCID iD: https://orcid.org/0000-0001-7637-0292 / Pruthu Thekkur / Divya Nair / Palanivel Chinnakali
  • Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ganesh Kumar Saya
  • Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2019-03-28 | DOI: https://doi.org/10.1515/ijamh-2018-0192

Abstract

Introduction

Physical activity (PA) is proven to be an effective strategy to avert the life threatening cardiovascular diseases. There is need for developing feasible aids to improve compliance to PA. Hence, we conducted a study among medical college students a) to assess the prevalence of recommended PA level and b) to assess the effectiveness of installing a smartphone application (app) in improving PA.

Methodology

A quasi-experimental study was conducted among medical college students in Puducherry, India. The baseline PA was assessed using the Global Physical Activity Questionnaire (GPAQ) and anthropometric measurements such as height and weight were measured as per World Health Organization (WHO) standards. A smartphone app (Runtastic) was installed on the mobile phones of all study participants. At the end of 1 month, the end line PA and anthropometric measurements were captured using same scales.

Results

Of the total 350 students who were included, the mean age of the participants was 18.9 (0.9) years and 58% of them were male. The proportion of participants with the WHO recommended level of PA increased from 81% at the baseline to 91% after 1 month of installation of the mobile app (p < 0.001). There was also a statistically significant increase in the leisure time PA [median (interquartile range – IQR) of metabolic equivalents (METS): 0 (0–1600) vs. 1260.0 (0–1920)]. Clinically significant change was not seen in body mass index (BMI) though the reduction was statistically significant [(mean (standard deviation – SD) of BMI: 22.54 (2.49) vs. after intervention 22.46 (2.47); p = 0.018].

Conclusion

This quasi-experimental study conducted among medical college students reported significant improvement in total and leisure time PA.

Keywords: exercise; GPAQ; mobile application; physical activity

References

  • [1]

    World Health Organization. Global Status Report on Non Communicable Diseases 2014 [Internet]. 2014 [cited 2018 Nov 16]. Available from: http://apps.who.int/iris/bitstream/handle/10665/148114/9789241564854_eng.pdf;jsessionid=D22406F5B1E6D03D8D24CB371D8137AC?sequence=1.

  • [2]

    World Health Organization. Technical package for cardiovascular disease management in primary health care. 2016.Google Scholar

  • [3]

    World Health Organization. WHO. Physical activity [Internet]. WHO. Available from: http://www.who.int/mediacentre/factsheets/fs385/en/.

  • [4]

    Armstrong T, Bull F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health. 2006;14:66–70.CrossrefGoogle Scholar

  • [5]

    World Health Organization. WHO. Previous world health days [Internet]. WHO. Available from: http://www.who.int/world-health-day/previous/en/.

  • [6]

    World Health Organization. Review of best practice in interventions to promote physical activity in developing countries. WHO Work Phys Act Public Heal [Internet]. 2005. Available from: http://www.who.int/dietphysicalactivity/bestpracticePA2008.pdf.

  • [7]

    Plotnikoff RC, Costigan AS, Williams LR, Kennedy GS, Robards SL, Allen J, et al. Effectiveness of interventions targeting physical activity, nutrition and healthy weight for university and college students: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2015;12:1–10.Web of ScienceGoogle Scholar

  • [8]

    Hamilton A. Effects of electronic reminders for promoting exercise motivation and [Internet]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/kin_health_theses/6/.

  • [9]

    Tuso P. Strategies to increase physical activity. Perm J. 2015;19:84–8.PubMedGoogle Scholar

  • [10]

    Wattanapisit A, Fungthongcharoen K, Saengow U, Vijitpongjinda S. Physical activity among medical students in Southern Thailand: a mixed methods study. BMJ Open. 2016;6:e013479.PubMedWeb of ScienceGoogle Scholar

  • [11]

    Kratzke C, Cox C. Smartphone technology and apps: rapidly changing health promotion. Int Electron J Health Educ. 2012;15:72–82.Google Scholar

  • [12]

    Glynn LG, Hayes PS, Casey M, Glynn F, Alvarez-Iglesias A, Newell J, et al. Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial. Br J Gen Pract J R Coll Gen Pract. 2014;64:e384–91.Google Scholar

  • [13]

    International Telecommunication Union. Press release: ITU releases 2016 ICT figures. [Internet]. Available from: https://www.itu.int/en/mediacentre/Pages/2016-PR30.aspx.

  • [14]

    Gilliland J, Sadler R, Clark A, O’Connor C, Milczarek M, et al. Using a smartphone application to promote healthy dietary behaviours and local food consumption, using a smartphone application to promote healthy dietary behaviours and local food consumption. BioMed Res Int BioMed Res Int. 2015;2015:e841368.Web of ScienceGoogle Scholar

  • [15]

    Rao CR, Darshan B, Das N, Rajan V, Bhogun M, Gupta A. Practice of physical activity among future doctors: a cross sectional analysis. Int J Prev Med. 2012;3:365–9.PubMedGoogle Scholar

  • [16]

    Gavali MY, Khismatrao DS, Gavali YV, Patil KB. Smartphone, the new learning aid amongst medical students. J Clin Diagn Res. 2017;11:JC05–8.PubMedWeb of ScienceGoogle Scholar

  • [17]

    Sushama Subhash T, Subhash Bapurao T. Perception of medical students for utility of mobile technology use in medical education. Int J Med Public Health. 2015;5:305–11.CrossrefGoogle Scholar

  • [18]

    Vinay V, Vishal K. Smartphone applications for medical students and professionals. NUJHS. 2013;3. [Internet]. [cited 2018 Nov 19]. Available from: http://nitte.edu.in/journal/March2013/SAFMS.pdf.

  • [19]

    World Health Organization. Non communicable diseases. The STEPS instrument and support materials. WHO [Internet]. 2017 [cited 2018 Nov 19]; Available from: https://www.who.int/ncds/surveillance/steps/instrument/en/.

  • [20]

    Runtastic GPS Running app – runtastic [Internet]. [cited 2018 Nov 19]. Available from: https://www.runtastic.com/en/apps/runtastic.

  • [21]

    Corozon B, Tommaso C-S, Jefry C, Paul D, Tim G, Philip J, et al. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–63.PubMedCrossrefGoogle Scholar

  • [22]

    Mehta DP, Chauhan MG, Koria B, Singh M. Prevalence of obesity among first-year medical students of Government Medical College, Bhavnagar. Int J Med Sci Public Heal. 2016;5:59–63.CrossrefGoogle Scholar

  • [23]

    Singru S, Kshirsagar M, Pathan Y, Fernandez K. Study regarding overweight/obesity among medical students of a teaching hospital in Pune, India. Med J Dr DY Patil Univ. 2014;7:279–83.CrossrefGoogle Scholar

  • [24]

    Gudegowda KS, Vengatesan S, Sobagiah RT. Prevalence of overweight and obesity among medical college students, Bengaluru. Int J Community Med Public Heal. 2018;5:1881–6.CrossrefGoogle Scholar

  • [25]

    Hadimani CP, Kulkarni SS, Math AK, Javali SB. Patterns of physical activity and its correlation with gender, body mass index among medical students. Int J Community Med Public Heal. 2018;5:2296–300.CrossrefGoogle Scholar

  • [26]

    Saranya S, Rao C, Kumar S, Kamath V, Kamath A. Dietary habits and physical activity among medical students of a teaching hospital in South India: a descriptive analysis. Trop J Med Res. 2016;19:172–7.CrossrefGoogle Scholar

  • [27]

    Kumar HH, Ramakrishnan N, Chandrashekar M, Kodihalli Jayaramegowda A, Kadian M, Chauhan V. A cross-sectional study on patterns, motivating factors and barriers for physical activity among undergraduate medical students. Int J Med Public Heal. 2014;4:413–6.CrossrefGoogle Scholar

  • [28]

    Padmapriya K, Krishna P, Rasu T. Prevalence and patterns of physical activity among medical students in Bangalore, India. Electron Physician. 2013;5:606–10.PubMedGoogle Scholar

  • [29]

    Svetkey LP, Batch BC, Lin P-H, Intille SS, Corsino L, Tyson CC, et al. Cell phone intervention for you (CITY): a randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology. Obesity (Silver Spring). 2015;23:2133–41.CrossrefPubMedGoogle Scholar

  • [30]

    Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile exercise apps and increased leisure time exercise activity: a moderated mediation analysis of the role of self-efficacy and barriers. J Med Internet Res. 2015;17:e195.Web of SciencePubMedGoogle Scholar

  • [31]

    Rogers RJ, Lang W, Barone Gibbs B, Davis KK, Burke LE, Kovacs SJ, et al. Applying a technology-based system for weight loss in adults with obesity. Obes Sci Pract. 2016;2:3–12.CrossrefPubMedWeb of ScienceGoogle Scholar

  • [32]

    Coughlin SS, Whitehead MS, Sheats JQ, Mastromonico J, Smith S. A review of smartphone applications for promoting physical activity. Jacobs J Community Med. 2016;2:1–14.Google Scholar

  • [33]

    Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, et al. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act. 2016;13:127.PubMedWeb of ScienceCrossrefGoogle Scholar

  • [34]

    Duncan M, Vandelanotte C, Kolt GS, Rosenkranz RR, Caperchione CM, George ES, et al. Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the manup study. J Med Internet Res. 2014;16:e136.PubMedWeb of ScienceGoogle Scholar

About the article

Received: 2018-08-21

Accepted: 2018-11-29

Published Online: 2019-03-28


Conflict of interest: None.

Funding: This research did not receive any specific grant from the funding agencies in the public, commercial or not-for-profit sectors.


Citation Information: International Journal of Adolescent Medicine and Health, 20180192, ISSN (Online) 2191-0278, DOI: https://doi.org/10.1515/ijamh-2018-0192.

Export Citation

©2019 Walter de Gruyter GmbH, Berlin/Boston.Get Permission

Comments (0)

Please log in or register to comment.
Log in