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LITERATURE REWIEW ABOUT DIGITAL TECHNOLOGIES FOR INCREASING PHYSICAL ACTIVITY: 2010 – 2020

Year 2021, , 218 - 232, 30.09.2021
https://doi.org/10.33689/spormetre.905970

Abstract

According to the data of the World Health Organization (2018); many adolescents find it difficult to follow recommendations for at least 60 minutes of moderate to vigorious physical activity (MVPA) daily. Accordingly; the MVPA level shows an additional decrease of 17% from childhood to adolescence, from adolescence to early adulthood. Along with technological developments; with the decrease in physical activity and technology taking over many work done with body strength, sports and / or regular exercises have gained importance for a healthy life. In this context, especially in recent years; technology-based physical activity applications are becoming widespread. Lupton (2017) state about 4 years ago that there are currently more than 160,000 health apps in major app stores that focus on health, diet and exercise. Such applications are generally diversified such as web-based initiatives, sports applications, wearable watches, activity trackers, other wearable devices, and social media platforms as online application communities. Such technology-based physical activity, healthy living, nutrition, rehabilitation practices are not yet widespread in our country when compared to Europe and developed countries. As a result of this, there are serious deficiencies in academic studies in this field in our country. There are large gaps in the academic literature regarding the efficiency of such applications, short, medium and long term effects on individuals, the characteristics they use, and the side effects. Therefore; This study includes the review of the literature published in English between 2010-2020 on Digital Technologies for Increasing Physical Activity and the review of the prominent publications. In this context, 14 studies were evaluated. As a result of the research; it has been found that the area is still developing, and the results found by the researchers are often contradictory. The vast majority of research focuses on adult individuals. Technology-based applications and academic studies to enhancing physical activity levels of disabled individuals are very rare.

References

  • Adams, E (2014). Fundamentals of game design (3rd Ed.). Berkeley, CA, New Riders.
  • Adams, E., Dormans, J. (2012). Game mechanics: advanced game design. New York: New Riders.
  • Åkerberg, A., Soderlund, A., Lindén, M. (2017). Technologies for physical activity self-monitoring: a study of differences between users and non-users. Open Access Journal of Sports Medicine, 8, 17 – 26.
  • Aston, R. (2018). Physical health and well-being in children and youth. Review of the literatüre. OECD Education Working Papers, 170, OECD Publishing, Paris.
  • Althoff, T., White, R.W., Horvitz, E. (2016). Influence of Pokemon Go physical activity: study and ımplication, Journal of Medical Internet Research, 18(12), 1-14.
  • Burns, N., Grove, S.K. (2009). The practice of nursing research: Appraisal, synthesis, and generation of evidence. USA:Saunders.
  • Catenacci, V., Barrett, C., Odgen, L., Browning, R., Schaefer, C. A., Hill, J., Wyatt, H. (2014). Changes in Physical Activity and Sedentary Behavior in a Randomized Trial of an Internet-Based versus Workbook-Based Family Intervention Study. Journal of Physical Activity and Health, 11(2), 348–358.
  • Cooper, A. R., Goodman, A., Page, A. S., Sherar, L. B., Esliger, D. W., Van Sluijs, E. M., Andersen, L. B. (2015). Objectively measured physical activity and sedentary time in youth: the International Children’s Accelerometry Database (ICAD). International Journal of Behavioral Nutrition and Physical Activity, 12(113), 1–10.
  • Corder, K., Winpenny, E., Love, R., Brown, H. E., White, M., Van Sluijs, E. (2019). Change in physical activity from adolescence to early adulthood: a systematic review and meta-analysis of longitudinal cohort studies. British Journal of Sports Medicine, 1, 1-9.
  • Damen, I., Brombacher, H., Lallemand, C., Brankaert, R., Brombacher, A., van Wesemael, P., Vos, S. A (2020) Workers. Int. J. Environ. Res. Public Health, 17 (499)
  • Dennison, L., Morrison, L., Conway, G., Yardley, L. (2013). Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. Journal of Medical Internet Resrarch, 15(4), 1-12.
  • Depper, A., Howe, P.D. (2016). Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociology Review, 26(1), 98 – 112.
  • Dute DJ., Bemelmans W.J.E., Breda J. (2016). Using mobile apps to promote a healthy lifestyle among adolescents and students: A review of the theoretical basis and lessons learned. JMIR Mhealth Uhealth, 4(2), 39 – 45.
  • Edwards, E.A., Lumsden, J., Rivas, C., Steed, L., Edwards L.A., Thiyagarajan, A. (2016). Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. Br Med J Open 6(10).
  • Fritz, T., Huang, E. M., Murphy, G.C., Zimmermann, T. (2014). Persuasive technology in the real world. Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI ’14.
  • Gal, R., May, A.M., Van Overmeeren, E.J., Simons, M., Monninkhof, E.M. (2018). The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis. Sports Medicine - Open, 4(1).
  • Galy, O., Yacef, K., Caillaud C. (2019). Improving pacific adolescents’ physical activity toward ınternational recommendations: exploratory study of a digital education app coupled with activity trackers. JMIR Mhealth Uhealth, 7(12).
  • Goodyear,V,A., Armour, K.M., Wood, H. (2019). Youg people and their engagement with health-related social media: new perspectives, Sport, Education and Society, 24(7), 673-688.
  • Goodyear,V,A., Armour, K.M., Wood, H. (2019). The impact of social media on young people’s health and wellbeing: evidence, guidelines and actions. Birmingham, UK; University of Birmingham
  • Graf, S., Cecchini, M. (2019). Current and past trends in physical activity in four OECD countries: Empirical results from time use surveys in Canada, France, Germany and the United States. OECD Health Working Papers, 112, OECD Publishing, Paris.
  • Grogan, S. (2007). Body image: Understanding body dissatisfaction in men, women and children. New York, NY: Routledge. Hakala, S., Rintala, A., Immonen, J., Karvanen, J., Heinoen, A. ve Sjögren, T. (2017). Effectiveness of physical activity promoting technology based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression European. Journal of Physical and Rehabilitation Medicine, 53(6):953-67.
  • Hakala, S., Rintala, A., Immonen, J., Karvanen, J., Heinonen, A., Sjögren, T. (2017). Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression. European journal of physical and rehabilitation medicine, 53(6), 953–967.
  • Hakala, S., Kivistö, H., Paajanen, T., Kankainen, A., Anttila, M.R., Heinonen, A., Sjögren, T. (2020). Effectiveness of distance technology on promotingphysical activity in cardiovascular disease rehabilitation: a pilot study for a 12-month cluster randomized trial. JMIR Rehabilitation and Assistive Technologies Submitted on: May 15, 2020.
  • Hartman, S.J., Nelson, S.H., Weiner, L.S. (2018). Patterns of fitbit use and activity levels throughout a physical activity ıntervention: exploratory analysis from a randomized controlled trial. JMIR Mhealth Uhealth, 6(2), 29-36.
  • Howe, K.B., Suharlim, C., Ueda, P., Howe, D., Kawachi, I., Rimm, E.B. (2016). Gotta catch’em all! Pokémon GO and physical activity among young adults: difference in differences study.
  • Kerner, C., Goodyear, V.A. (2017). The motivational ımpact of wearable healthy lifestyle technologies: a self-determination perspective on fitbits with adolescents. American Journal of Health Education, 48(5), 287 – 297.
  • Kim, J. (2014). A qualitative analysis of user experiences with a self-tracker for activity, sleep, and diet. Interactive Journal of Medical Research, 3(1), e8.
  • Lau, P.W., Lau, E.Y., Wong, D.P., Ransdell, L.A. (2011). Systematic review of ınformation and communication technology–based ınterventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res, 13(3):e48.
  • Lupton, D. (2017). Lively data, social fitness and biovalue: the ıntersections of health self-tracking and social media. In The Sage Handbook of Social Media, edited by J. Burgess, A. Marwick, and T. Poell, 562–578. London: Sage.
  • Marschollek, M. (2013). A semi-quantitative method to denote generic physical activity phenotypes from long-term accelerometer data–the ATLAS index. PLoS One, 8(5), e63522.
  • McCallum, C., Rooksby, J., Gray, C.M. (2018). Evaluating the impact of physical activity apps and wearables: ınterdisciplinary review, JMIR Mhealth Uhealth, 6(3), 58 – 65.
  • Ng, K., Kokko, S., Tammelin, T., Kallio, J., Belton, S., O'Brien, W., Murphy, M., Powell, C., Woods, C. (2020). Clusters of adolescent physical activity tracker patterns and their associations with physical activity behaviors in Finland and Ireland: Cross-Sectional Study. J Med Internet Res, 22(9):e18509.
  • OECD (2019). OECD Future of Education 2030 Making Physical Education Dynamic and Inclusive for 2030(85).
  • Ridgers, N., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S., Richards, K., Mackintosh, K., McNarry, M., Foster, M., Salmon, J. (2018). Wearable activity tracker use among australian adolescents: Usability and acceptability study. JMIR Mhealth, 6(4):e86.
  • Shin, Y., Hur, W.M., Moon, T.W., Lee, S. (2019). A motivational perspective on job insecurity: relationships between job insecurity, intrinsic motivation, and performance and behavioral, International Journal of Enviromental Research and Public Health, 16, 2-16.
  • Stanford, P. (2003). Her sınıf için çoklu zeka. Eğitim Psikolojisi Dergisi, 39(2): 81-89, http://www.makalearsivi/tarih.ornnek.html (14 Mayıs 2016 tarihinde erişim sağlanmıştır).
  • Taş, F., Seviğ, E.Ü., Güngörmüş, Z. (2016). Sigara Bağımlılığında Davranış Değişimi için Transteoretik Model ile Motivasyonel Görüşme Tekniğinin Kullanılması Psikiyatride Güncel Yaklaşımlar. Current Approaches in Psychiatry, 8(4), 380-393.
  • Turkmen, M. (2004). Dövüş sanatlarının çocukların gelişimine etkileri. Uluslararası Çağdaş Eğitim Araştırmaları Dergisi (IntJCES), 8(1): 276-281.
  • Turrisi, T.B., Bittel, K.M., West, A.B., Hojjatinia, S., Mama, S.K., Lagoa, C.M., Conroy, D.E. (2020). Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020. International Journal of Behavioral Nutrition and Physical Activity, 18(24), 2-26.
  • United States Department of Health and Human Services. (2010). Healthy people 20W: Understanding and improving health. http://www.healthypeople.gov/lhi/lhiwhat.htm. sayfasından erişilmiştir.
  • Watanabe, K., Kawakami, N., Imamura, K., Inoue, A., Shimazu, A., Yoshikawa, T., Tsutsumi, A. (2017). Pokémon GO and psychological distress, physical complaints, and work performance among adult workers: a retrospective cohort study. Scientific Reports, 7(1).
  • World Health Organization (2019). Coming of age: Adolescent health. https://www.who.int/health-topics/adolescents/coming-of-age-adolescent-health, sayfasından erişilmiştir.
  • Voskuil, V. R.., Stroup, S., Leyden, M. (2020). Acceptability and Usability of a Wearable Activity Tracker and Application Among Inactive Adolescent Girls. Physical Activity and Health, 4(1), pp. 52–61.

FİZİKSEL AKTİVİTENİN ARTTIRILMASINA YÖNELİK DİJİTAL TEKNOLOJİLER HAKKINDA LİTERATÜR TARAMASI: 2010-2020

Year 2021, , 218 - 232, 30.09.2021
https://doi.org/10.33689/spormetre.905970

Abstract

Dünya sağlık örgütünün (2018), verilerine göre; pek çok ergen günlük en az 60 dakika orta ve yüksek şiddetli fiziksel aktivite (MVPA), yapılmasını öngören tavsiyeleri yerine getirmekte zorlanmaktadır. Dolayısıyla; MVPA seviyesi çocukluktan ergenliğe, ergenlikten erken yetişkinliğe kadar %17 oranında ek bir düşüş göstermektedir. Teknolojik gelişmelerle birlikte; fiziksel aktivitenin azalması ve teknolojinin beden gücü ile yapılan pek çok işi devralması ile birlikte sağlıklı bir yaşam için spor ve düzenli egzersizler önem kazanmıştır. Bu kapsamda özellikle son yıllarda; teknoloji tabanlı fiziksel aktivite uygulamaları günden güne yaygınlaşmaktadır. Lupton (2017) yaklaşık 4 yıl önce; sağlık, diyet ve egzersiz konularına odaklanan büyük uygulama mağazalarında şu anda 160.000' den fazla sağlık uygulaması bulunduğunu ifade etmiştir. Bu tür uygulamalar geneli itibariyle web-tabanlı girişimler, spor aplikasyonları, giyilebilir saatleri aktivite takip eden cihazlar (activity tracker), giyilebilir diğer cihazlar, online uygulama toplulukları olarak sosyal medya platformları gibi çeşitlenmektedir. Ancak; bu tür teknoloji tabanlı fiziksel aktivite, sağlıklı yaşam, beslenme, iyileştirme(rehabilitasyon) uygulamaları ülkemizde henüz Avrupa ve gelişmiş ülkeler ile kıyaslandığında yeterince yaygınlaşmamıştır. Bunun bir sonucu olarak ülkemizde yapılan bu alandaki akademik çalışmalarda da ciddi eksiklikler bulunmaktadır. Bu tür uygulamaların; kişiler üzerindeki kısa, orta ve uzun vadeli etkileri, kullandıkları özellikleri gibi detaylar hakkında akademik literatürde eksiklikler bulunmaktadır. Bu çalışma Fiziksel Aktivitenin Arttırılmasına Yönelik Dijital Teknolojiler Hakkında 2010-2020 yılları arasında İngilizce yayınlaşmış literatürün taranması ve öne çıkan yayınların incelenmesini içermektedir. Bu kapsamda 14 çalışma ele alınmıştır. Araştırma neticesinde; alanın hala gelişmekte olduğu, araştırmacılar tarafından bulunan sonuçların çelişkili olduğu, yetişkin bireylere odaklanıldığı ve özel eğitimli bireylere yönelik teknoloji tabanlı uygulamalarda eksiklikler tespit edilmiştir.

References

  • Adams, E (2014). Fundamentals of game design (3rd Ed.). Berkeley, CA, New Riders.
  • Adams, E., Dormans, J. (2012). Game mechanics: advanced game design. New York: New Riders.
  • Åkerberg, A., Soderlund, A., Lindén, M. (2017). Technologies for physical activity self-monitoring: a study of differences between users and non-users. Open Access Journal of Sports Medicine, 8, 17 – 26.
  • Aston, R. (2018). Physical health and well-being in children and youth. Review of the literatüre. OECD Education Working Papers, 170, OECD Publishing, Paris.
  • Althoff, T., White, R.W., Horvitz, E. (2016). Influence of Pokemon Go physical activity: study and ımplication, Journal of Medical Internet Research, 18(12), 1-14.
  • Burns, N., Grove, S.K. (2009). The practice of nursing research: Appraisal, synthesis, and generation of evidence. USA:Saunders.
  • Catenacci, V., Barrett, C., Odgen, L., Browning, R., Schaefer, C. A., Hill, J., Wyatt, H. (2014). Changes in Physical Activity and Sedentary Behavior in a Randomized Trial of an Internet-Based versus Workbook-Based Family Intervention Study. Journal of Physical Activity and Health, 11(2), 348–358.
  • Cooper, A. R., Goodman, A., Page, A. S., Sherar, L. B., Esliger, D. W., Van Sluijs, E. M., Andersen, L. B. (2015). Objectively measured physical activity and sedentary time in youth: the International Children’s Accelerometry Database (ICAD). International Journal of Behavioral Nutrition and Physical Activity, 12(113), 1–10.
  • Corder, K., Winpenny, E., Love, R., Brown, H. E., White, M., Van Sluijs, E. (2019). Change in physical activity from adolescence to early adulthood: a systematic review and meta-analysis of longitudinal cohort studies. British Journal of Sports Medicine, 1, 1-9.
  • Damen, I., Brombacher, H., Lallemand, C., Brankaert, R., Brombacher, A., van Wesemael, P., Vos, S. A (2020) Workers. Int. J. Environ. Res. Public Health, 17 (499)
  • Dennison, L., Morrison, L., Conway, G., Yardley, L. (2013). Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. Journal of Medical Internet Resrarch, 15(4), 1-12.
  • Depper, A., Howe, P.D. (2016). Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociology Review, 26(1), 98 – 112.
  • Dute DJ., Bemelmans W.J.E., Breda J. (2016). Using mobile apps to promote a healthy lifestyle among adolescents and students: A review of the theoretical basis and lessons learned. JMIR Mhealth Uhealth, 4(2), 39 – 45.
  • Edwards, E.A., Lumsden, J., Rivas, C., Steed, L., Edwards L.A., Thiyagarajan, A. (2016). Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. Br Med J Open 6(10).
  • Fritz, T., Huang, E. M., Murphy, G.C., Zimmermann, T. (2014). Persuasive technology in the real world. Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI ’14.
  • Gal, R., May, A.M., Van Overmeeren, E.J., Simons, M., Monninkhof, E.M. (2018). The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis. Sports Medicine - Open, 4(1).
  • Galy, O., Yacef, K., Caillaud C. (2019). Improving pacific adolescents’ physical activity toward ınternational recommendations: exploratory study of a digital education app coupled with activity trackers. JMIR Mhealth Uhealth, 7(12).
  • Goodyear,V,A., Armour, K.M., Wood, H. (2019). Youg people and their engagement with health-related social media: new perspectives, Sport, Education and Society, 24(7), 673-688.
  • Goodyear,V,A., Armour, K.M., Wood, H. (2019). The impact of social media on young people’s health and wellbeing: evidence, guidelines and actions. Birmingham, UK; University of Birmingham
  • Graf, S., Cecchini, M. (2019). Current and past trends in physical activity in four OECD countries: Empirical results from time use surveys in Canada, France, Germany and the United States. OECD Health Working Papers, 112, OECD Publishing, Paris.
  • Grogan, S. (2007). Body image: Understanding body dissatisfaction in men, women and children. New York, NY: Routledge. Hakala, S., Rintala, A., Immonen, J., Karvanen, J., Heinoen, A. ve Sjögren, T. (2017). Effectiveness of physical activity promoting technology based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression European. Journal of Physical and Rehabilitation Medicine, 53(6):953-67.
  • Hakala, S., Rintala, A., Immonen, J., Karvanen, J., Heinonen, A., Sjögren, T. (2017). Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression. European journal of physical and rehabilitation medicine, 53(6), 953–967.
  • Hakala, S., Kivistö, H., Paajanen, T., Kankainen, A., Anttila, M.R., Heinonen, A., Sjögren, T. (2020). Effectiveness of distance technology on promotingphysical activity in cardiovascular disease rehabilitation: a pilot study for a 12-month cluster randomized trial. JMIR Rehabilitation and Assistive Technologies Submitted on: May 15, 2020.
  • Hartman, S.J., Nelson, S.H., Weiner, L.S. (2018). Patterns of fitbit use and activity levels throughout a physical activity ıntervention: exploratory analysis from a randomized controlled trial. JMIR Mhealth Uhealth, 6(2), 29-36.
  • Howe, K.B., Suharlim, C., Ueda, P., Howe, D., Kawachi, I., Rimm, E.B. (2016). Gotta catch’em all! Pokémon GO and physical activity among young adults: difference in differences study.
  • Kerner, C., Goodyear, V.A. (2017). The motivational ımpact of wearable healthy lifestyle technologies: a self-determination perspective on fitbits with adolescents. American Journal of Health Education, 48(5), 287 – 297.
  • Kim, J. (2014). A qualitative analysis of user experiences with a self-tracker for activity, sleep, and diet. Interactive Journal of Medical Research, 3(1), e8.
  • Lau, P.W., Lau, E.Y., Wong, D.P., Ransdell, L.A. (2011). Systematic review of ınformation and communication technology–based ınterventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res, 13(3):e48.
  • Lupton, D. (2017). Lively data, social fitness and biovalue: the ıntersections of health self-tracking and social media. In The Sage Handbook of Social Media, edited by J. Burgess, A. Marwick, and T. Poell, 562–578. London: Sage.
  • Marschollek, M. (2013). A semi-quantitative method to denote generic physical activity phenotypes from long-term accelerometer data–the ATLAS index. PLoS One, 8(5), e63522.
  • McCallum, C., Rooksby, J., Gray, C.M. (2018). Evaluating the impact of physical activity apps and wearables: ınterdisciplinary review, JMIR Mhealth Uhealth, 6(3), 58 – 65.
  • Ng, K., Kokko, S., Tammelin, T., Kallio, J., Belton, S., O'Brien, W., Murphy, M., Powell, C., Woods, C. (2020). Clusters of adolescent physical activity tracker patterns and their associations with physical activity behaviors in Finland and Ireland: Cross-Sectional Study. J Med Internet Res, 22(9):e18509.
  • OECD (2019). OECD Future of Education 2030 Making Physical Education Dynamic and Inclusive for 2030(85).
  • Ridgers, N., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S., Richards, K., Mackintosh, K., McNarry, M., Foster, M., Salmon, J. (2018). Wearable activity tracker use among australian adolescents: Usability and acceptability study. JMIR Mhealth, 6(4):e86.
  • Shin, Y., Hur, W.M., Moon, T.W., Lee, S. (2019). A motivational perspective on job insecurity: relationships between job insecurity, intrinsic motivation, and performance and behavioral, International Journal of Enviromental Research and Public Health, 16, 2-16.
  • Stanford, P. (2003). Her sınıf için çoklu zeka. Eğitim Psikolojisi Dergisi, 39(2): 81-89, http://www.makalearsivi/tarih.ornnek.html (14 Mayıs 2016 tarihinde erişim sağlanmıştır).
  • Taş, F., Seviğ, E.Ü., Güngörmüş, Z. (2016). Sigara Bağımlılığında Davranış Değişimi için Transteoretik Model ile Motivasyonel Görüşme Tekniğinin Kullanılması Psikiyatride Güncel Yaklaşımlar. Current Approaches in Psychiatry, 8(4), 380-393.
  • Turkmen, M. (2004). Dövüş sanatlarının çocukların gelişimine etkileri. Uluslararası Çağdaş Eğitim Araştırmaları Dergisi (IntJCES), 8(1): 276-281.
  • Turrisi, T.B., Bittel, K.M., West, A.B., Hojjatinia, S., Mama, S.K., Lagoa, C.M., Conroy, D.E. (2020). Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020. International Journal of Behavioral Nutrition and Physical Activity, 18(24), 2-26.
  • United States Department of Health and Human Services. (2010). Healthy people 20W: Understanding and improving health. http://www.healthypeople.gov/lhi/lhiwhat.htm. sayfasından erişilmiştir.
  • Watanabe, K., Kawakami, N., Imamura, K., Inoue, A., Shimazu, A., Yoshikawa, T., Tsutsumi, A. (2017). Pokémon GO and psychological distress, physical complaints, and work performance among adult workers: a retrospective cohort study. Scientific Reports, 7(1).
  • World Health Organization (2019). Coming of age: Adolescent health. https://www.who.int/health-topics/adolescents/coming-of-age-adolescent-health, sayfasından erişilmiştir.
  • Voskuil, V. R.., Stroup, S., Leyden, M. (2020). Acceptability and Usability of a Wearable Activity Tracker and Application Among Inactive Adolescent Girls. Physical Activity and Health, 4(1), pp. 52–61.
There are 43 citations in total.

Details

Primary Language Turkish
Subjects Sports Medicine
Journal Section Research Article
Authors

Aziz Onurhan Ahraz 0000-0002-5911-3451

Bekir Çar 0000-0001-7422-9543

Caner Cengiz 0000-0002-0446-537X

Publication Date September 30, 2021
Published in Issue Year 2021

Cite

APA Ahraz, A. O., Çar, B., & Cengiz, C. (2021). FİZİKSEL AKTİVİTENİN ARTTIRILMASINA YÖNELİK DİJİTAL TEKNOLOJİLER HAKKINDA LİTERATÜR TARAMASI: 2010-2020. SPORMETRE Beden Eğitimi Ve Spor Bilimleri Dergisi, 19(3), 218-232. https://doi.org/10.33689/spormetre.905970

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