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Volume 8, Issue 1

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Volume 8, Issue 1

HEALTH AND FITNESS APPS: A BIBLIOMETRIC ANALYSIS FOCUSING ON THE INCREASED USAGE DURING AND AFTER COVID-19

Author(s)

Naina Sobti, Dr. Priya Grover

Affiliations

Symbiosis Centre for Management Studies, NOIDA, Symbiosis International (Deemed University), Pune India

Abstract

The recent years have seen a rapid change in lifestyles as people have increasingly become sedentary over the last few decades and the Coronavirus pandemic has aggravated the issue. Holistic well-being is a major concern for people due to rising cases of obesity and other lifestyle disorders. Smartphones are seen playing a key role in monitoring health and fitness behavior in recent times. Mobile applications and especially fitness applications are emerging as a keen area of interest and the pandemic has further accelerated their usage with a comprehensive background of publications in leading journals. Present study analyses and identifies the most cited papers in this area in the period of 2010 to 2021. In this study a database of 645 documents were retrieved from Scopus database and bibliometric analysis was done using R studio package. This analysis provides information on trends taking into perspectives both past and present studies. The analysis also reflects important information in areas such as most prominent authors locally and globally most cited countries, most cited documents, growth in sources of production over a period of years which would help in future development of research in this area.

Keywords

Fitness Applications, Health, Mobile Applications, Activity Tracker, Fitness Trackers, Self-care, Healthy lifestyle

References
  1. Aboelmaged, M., Ali, I., & Hashem, G. (2021). Mobile apps use for wellness and fitness and university students’ subjective wellbeing.Information Development, 2018. https://doi.org/10.1177/02666669211020498
  2. Aria, M., & Cuccurullo, C. (2017). bibliometrix:An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.https://doi.org/10.1016/j.joi.2017.08.007
  3. Bigne, E., Ruiz, C., & Sanz, S. (2005). The Impact of Internet User Shopping Patterns and Demographics on Consumer Mobile Buying Behaviour. Journal of Electronic Commerce Research, 6(3), 193.
  4. Broadus, R. N. (1987). Toward a definition of “bibliometrics.” Scientometrics, 12(5–6), 373–379. https://doi.org/10.1007/BF02016680
  5. Burnham, J. F. (2006). Scopus database: A review. Biomedical Digital Libraries, 3, 1–8. https://doi.org/10.1186/1742-5581-3-1
  6. Chin, S. O., Keum, C., Woo, J., Park, J., Choi, H. J., Woo, J. T., & Rhee, S. Y. (2016). Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Scientific Reports, 6(November), 1– 8. https://doi.org/10.1038/srep34563
  7. Chan, S. (2020). Global app revenue reached $50 billion in the first half of 2020, up 23% year-over- year. Sensor Tower Blog. Retrieved October 9, 2021, from https://sensortower.com/blog/app- revenue-and-downloads-1h-2020
  8. Edwards, L. C., Bryant, A. S., Keegan, R. J., Morgan, K., & Jones, A. M. (2017). Definitions, Foundations and Associations of Physical Literacy: A Systematic Review. Sports Medicine, 47(1), 113–126. https://doi.org/10.1007/s40279- 016-0560-7
  9. World Economic Forum (2020), Fitness apps grew by nearly 50% during the first half of 2020, study finds. Retrieved October 9, 2021, from https://www.weforum.org/agenda/2020/09/fitness -apps-gym-health-downloads/
  10. Statista (2020), Global health and fitness app downloads 2020. Retrieved October 9, 2021, from https://www.statista.com/statistics/1127248/healt h-fitness-apps-downloads-worldwide/
  11. Hazar Kanık, Z. (2020). Home-Based Physical Activity in COVID-19 Pandemic. Gazi Sağlık Bilim Derg, Special, 46–51.
  12. Intille, S. S., Lester, J., Sallis, J. F., & Duncan, G. (2012). New Horizons in sensor development. Medicine and Science in Sports and Exercise, 44(SUPPL. 1), 1–13. https://doi.org/10.1249/MSS.0b013e3182399c7d
  13. Jayanti, R. K., & Burns, A. C. (1998). The antecedents of preventive health care behavior: An empirical study. Journal of the Academy of Marketing Science, 26(1), 6–15. https://doi.org/10.1177/0092070398261002
  14. Khaleghzadeh, H., Afzalpour, M. E., Ahmadi, M. M., Nematy, M., & Sardar, M. A. (2020). Effect high-intensity interval training along with Oligopin supplementation on some inflammatory indices and liver enzymes in obese male Wistar rats with non-alcoholic fatty liver disease. Obesity Medicine, 17(December 2019), 100177. https://doi.org/10.1016/j.obmed.2019.100177
  15. Kirwan, M., Duncan, M. J., Vandelanotte, C., & Mummery, W. K. (2013). Design, Development, and Formative Evaluation of a Smartphone Application for Recording and Monitoring Physical Activity Levels: The 10,000 Steps “iStepLog.” Health Education and Behavior, 40(2), 140–151. https://doi.org/10.1177/1090198112449460
  16. Korinek, E. V., Phatak, S. S., Martin, C. A., Freigoun, M. T., Rivera, D. E., Adams, M. A., Klasnja, P., Buman, M. P., & Hekler, E. B. (2018). Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone- based walking intervention. Journal of Behavioral Medicine, 41(1), 74–86. https://doi.org/10.1007/s10865-017-9878-3
  17. Lau, P. W. C., Lau, E. Y., Wong, D. P., & Ransdell, L. (2011). A Systematic review of information and communication technology- based interventions for promoting physical activity behavior change in children and adolescents. Journal of Medical Internet Research, 13(3), 1–18. https://doi.org/10.2196/jmir.1533
  18. Li, X., Zhao, X., Xu, W. (Ato), & Pu, W. (2020). Measuring ease of use of mobile applications in e- commerce retailing from the perspective of consumer online shopping behaviour patterns. Journal of Retailing and Consumer Services, 55(January), 102093. https://doi.org/10.1016/j.jretconser.2020.102093
  19. Liu, C., Zhu, Q., Holroyd, K. A., & Seng, E. K. (2011). Status and trends of mobile-health applications for iOS devices: A developer’s perspective. Journal of Systems and Software, 84(11), 2022–2033. https://doi.org/10.1016/j.jss.2011.06.049
  20. Livingstone, S., & Third, A. (2017). Children and young people’s rights in the digital age: An emerging agenda. New Media and Society, 19(5), 657–670. https://doi.org/10.1177/1461444816686318
  21. LoPresti, M., Appelboom, G., Bruyère, O., Reginster, J. Y., Klug, E., & Connolly, E. S. (2014). Patient engagement in clinical research through mobile technology. Clinical Practice, 11(6), 549–551. https://doi.org/10.2217/cpr.14.68
  22. Mattioli, A. V, Sciomer, S., Cocchi, C., Maffei, S., & Gallina, S. (2020). Nutrition , Metabolism & Cardiovascular Diseases Quarantine during COVID-19 outbreak : Changes in diet and physical activity increase the risk of cardiovascular disease. Nutrition, Metabolism and Cardiovascular Diseases, 30(9), 1409–1417. https://doi.org/10.1016/j.numecd.2020.05.020
  23. BuildFire (2021), Mobile app download statistics & usage statistics (2021). Retrieved on January, 2021. https://buildfire.com/app-statistics/
  24. Allied Market Research (2021), Mobile application market size, share & growth| industry analysis, 2026. Retrieved October 9, 2021, from https://www.alliedmarketresearch.com/mobile- application-market
  25. Molina, M. D., & Myrick, J. G. (2021). The ‘how’ and ‘why’ of fitness app use: investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society, 24(7), 1233–1248. https://doi.org/10.1080/17430437.2020.1744570
  26. Molina, M. D., & Sundar, S. S. (2020). Can Mobile Apps Motivate Fitness Tracking? A Study of Technological Affordances and Workout Behaviors. Health Communication, 35(1), 65–74. https://doi.org/10.1080/10410236.2018.1536961
  27. Moorman, C., & Matulich, E. (1993). A Model of Consumers’ Preventive Health Behaviors: The Role of Health Motivation and Health Ability. Journal of Consumer Research, 20(2), 208. https://doi.org/10.1086/209344
  28. Mumcu, H. E. (2021). Fitness-related on health mobile applications during COVID-19: Case of Turkey. Progress in Nutrition, 23(1). https://doi.org/10.23751/pn.v23iS1.11629
  29. Statista (2021), Number of smartphone users in India 2015-2022. Retrieved October 9, 2021, from https://www.statista.com/statistics/467163/foreca st-of-smartphone-users-in-india/
  30. Pablo, S., Cobo, M. J., Vaccaro, G., Pel, I., & Herrera-viedma, E. (2021). brain sciences Citation Classics in Consumer Neuroscience , Neuromarketing and Neuroaesthetics : Identification and Conceptual Analysis.
  31. Palička, P., Jakubec, L., & Zvoníček, J. (2016). Mobile apps that support physical activities and the potential of these applications in physical education at school. Journal of Human Sport and Exercise, 11(Special issue 1), S176–S194. https://doi.org/10.14198/jhse.2016.11.Proc1.08
  32. Stephens, J., & Allen, J. (2013). Mobile phone interventions to increase physical activity and reduce weight: A systematic review. Journal of Cardiovascular Nursing, 28(4), 320–329. https://doi.org/10.1097/JCN.0b013e318250a3e7
  33. Stuart, J. H. B., & Nanette, M. (2007). Psychology of physical activity: Determinants, well-being and interventions. In Psychology of Physical Activity: Determinants, Well-being and Interventions (Issue June 2014). https://doi.org/10.4324/9780203019320
  34. Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human Computer Studies, 64(2), 53–78. https://doi.org/10.1016/j.ijhcs.2005.04.013
  35. Wang, Z., & Tang, K. (2020). Combating COVID- 19: health equity matters. Nature Medicine, 26(4), 458. https://doi.org/10.1038/s41591-020-0823-6
  36. WHO. Guideline Stay physically active during self-quarantine. (2020), Access address: http://www.euro.who.int/en/ health- topics/healthemergencies/coronavirus-COVID- 19/ novel-coronavirus-2019-ncovtechnical- guidance/stayphysically-active-during-self- quarantine
  37. Yang, Y., & Koenigstorfer, J. (2020). Determinants of physical activity maintenance during the Covid-19 pandemic: A focus on fitness apps. Translational Behavioral Medicine, 10(4), 835–842. https://doi.org/10.1093/tbm/ibaa086
  38. Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429– 472. https://doi.org/10.1177/1094428114562629

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