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Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications

Yıl 2025, , 46 - 58, 31.01.2025
https://doi.org/10.33459/cbubesbd.1487187

Öz

Bu çalışma, HisApp cep telefonu uygulamasını kullanarak fiziksel aktivite gerçekleştiren bireylerde egzersiz davranış değişikliğini, fiziksel aktivite düzeylerini ve sağlıklı beslenmeye yönelik tutumlarını incelemeyi amaçlamıştır. Bu çalışma HisApp uygulaması (Türkiye Herkes İçin Spor Federasyonu mobil uygulaması) kullanılarak 246 katılımcı (144 erkek ve 102 kadın) ile gerçekleştirilmiştir. Katılımcıların boy, kilo, vücut kütle indeksi ve fiziksel aktivite düzeyleri kaydedildi. Katılımcılara Google çevrimiçi anketi aracılığıyla egzersiz davranış değişikliği anketi ve sağlıklı beslenme tutum ölçeği uygulandı. Sonuçlar, egzersiz davranış değişikliği alt boyutları ile Sağlık Tutum Ölçeği alt boyutları arasında pozitif korelasyon olduğunu göstermiştir. Fiziksel aktivite sağlıklı beslenme tutumu alt boyutlarını olumlu yönde etkilerken, beslenme ile ilgili bilgi, beslenme ile ilgili duygular ve malnütrisyon üzerinde herhangi bir etki gözlenmemiştir. Egzersiz davranış değişikliğinin aşamaları, sağlıklı beslenmeye yönelik tutum ölçeği ile ilişkilendirilmiştir. Fiziksel aktivite düzeyi ile pozitif beslenme değişkeni arasında pozitif yönde anlamlı, malnütrisyon ile negatif yönde anlamlı korelasyon vardı (p<0.05). Sağlıklı beslenmeye ilişkin olumlu tutumlar ve insanların daha sağlıklı seçimler yapmaya teşvik edilmesi, eğitim, erişilebilirlik, sosyal normlar, bireysel değişkenler ve çevresel faktörlerin bir kombinasyonuna bağlanabilir. Cep telefonunda HisApp fiziksel aktivite mobil uygulamasını kullanan bireylerin egzersiz davranış değişikliklerinin olumlu yönde geliştiği söylenebilir.

Kaynakça

  • Al-zandee, S. S. A., & Ünlü, H. (2019). Investigation of physical activity exercise change behaviors of secondary school students and their predisposition to physical education course. Spormetre Journal of Physical Education and Sports Sciences, 17(3), 100-118. http://dx.doi.org/10.33689/spormetre.521319
  • Arı, Y., & Çakir, E. (2021). Correlation between participation in physical activity and healthy nutrition: An Example of a sports science faculty. Baltic Journal of Health and Physical Activity, 13(3), 37-45. https://doi.org/10.29359/BJHPA.13.3.05
  • Bertram, M., Banatvala, N., Kulikov, A., Belausteguigoitia, I., Sandoval, R., Hennis, A., Webb, D., & Tarlton, D. (2019). Using economic evidence to support policy decisions to fund interventions for non-communicable diseases. BMJ, 365(16),1-4. http://dx.doi.org/10.1136/bmj.l1648
  • Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J. P., Chastin, S., Chou, R., Dempsey, P. C., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C. M., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P. T., Willumsen, J. F. (2020). World health organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451-1462. https://doi.org/10.1136/bjsports-2020-102955
  • Çeker, A., Çekin, R., & Ziyagil, M. A. (2013). Stages of change in regular physical activity participation behavior of men and women in different age groups. CBU Journal of Physical Education and Sport Sciences, 8(1), 11-20. Cengiz, C. (2007). Physical activity and exercise stages of change levels of Middle East Technical University students. Master thesis, Middle East Technical University, General Social Sciences, Ankara.
  • Cengiz, C., Așçı, F. H., & İnce, M.L. (2010). Exercise stages of change questionnaire: Its reliability and validity. International Journal of Sport Studies, 2(1), 32-37.
  • Chiu, W., & Cho, H. (2021). The Role of technology readiness in individuals' intention to use health and fitness applications: A Comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics, 33(3), 807-825. https://doi.org/10.1108/APJML-09-2019-0534
  • Demir, G. T., & Cicioğlu, H. İ. (2019). Attitude scale on healthy eating (SBITÖ): Validity and reliability study. Gaziantep University Journal of Sport Sciences, 4(2), 256-274. https://doi.org/10.31680/gaunjss.559462
  • Demirbaş, A. B., Kılıçaslan, A., Altınsöz, S., Aksakal, H. B., & Alphan, M. E. (2023). Determination of the relationship between healthy eating attitude, random blood glucose and anthropometric measurements in university students. Atlas Journal of Medicine, 4(10), 200-270. https://doi.org/10.54270/atljm.2024.54
  • Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A. (2017). Mobile health interventions for improving health outcomes in youth:Meta-analysis. JAMA Pediatrics, 171(5), 461-469. https://doi.org/10.1001/jamapediatrics.2017.0042
  • Flores Mateo, G., Granado-Font, E., Ferré-Grau, C., & Montaña-Carreras, X. (2015). Mobile phone apps to promote weight loss and increase physical activity: A Systematic review and meta-analysis. Journal of Medical Internet Research, 17(11), e253. https://doi.org/10.2196/jmir.4836
  • George, D., and Mallery, P. (2010). SPSS for windows step by step: A Simple guide and reference. Allyn & Bacon.
  • Gülşen, O. (2018). Investigation of exercise behavior changes of individuals undergoing imagery training. Spormetre Journal of Physical Education and Sport Sciences, 16(3), 48-60. https://doi.org/DOI:%2010.1501/Sporm_0000000375
  • Jiménez-Zazo, F., Romero-Blanco, C., Castro-Lemus, N., Dorado-Suárez, A., & Aznar, S. (2020). Transtheoretical model for physical activity in older adults: Systematic review. International journal of Environmental Research and Public Health, 17(24), 9262. https://doi.org/10.3390/ijerph17249262
  • Katzmarzyk, P. T., Friedenreich, C., Shiroma, E. J., & Lee, I. M. (2022). Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries. British Journal of Sports Medicine, 56(2), 101-106. https://doi.org/10.1136/bjsports-2020-103640
  • Kim, H. N., & Seo, K. (2020). Smartphone-based health program for improving physical activity and tackling obesity for young adults: A Systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 17(1), Article 15. https://doi.org/10.3390/ijerph17010015
  • Kim, Y. (2021). Relationships of physical activity with the transtheoretical model constructs among Korean adults. International Journal of Health Promotion and Education, 59(5), 276-285. https://doi.org/10.1080/14635240.2020.1740608.
  • Kitiş, Y., & Gümüş, Y. (2015). Determination of 20 years and older women's physical activity levels, beliefs about physical activity and behavior stages. Gümüşhane University Journal of Health Sciences, 4(3), 399-411.
  • Lee, M., Lee, H., Kim, Y., Kim, J., Cho, M., Jang, J., & Jang, H. (2018). Mobile app-based health promotion programs: A Systematic review of the literature. International Journal of Environmental Research and Public Health, 15(12), Article 2838. https://doi.org/10.3390/ijerph15122838
  • Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet, 20(1),1-12. https://doi.org/10.1186/s12889-020-09855-3 219-229
  • Liliana, L., Ding, D., Bruno, H., Baki, K., Juan, C. Q., Huong Ly, T., Bahia, C., Ana Luisa, N., Elia, G., Kim Phuong, D., David, R., Gisela Costa, N., Maria, L. A., Enrico, C., & David, W. B. (2021). Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine, 55(8), 422-132. https://doi.org/10.1136/bjsports-2020-102892
  • Marcus, B. H., Lewis, B. A. (2003). Physical activity and the stages of motivational readiness for change model. President's Council on Physical Fitness and Sports Research Digest, 10(1), 1-10.
  • Posadzki, P., Pieper, D., Bajpai, R., Makaruk, H., Könsgen, N., Neuhaus, A. L., & Semwal, M. (2020). Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews. BMC Public Health, 20, 1-12.
  • Sabe, M., Chen, C., Sentissi, O., Deenik, J., Vancampfort, D., Firth, J., & Solmi, M. (2022). Thirty years of research on physical activity, mental health, and wellbeing: A scientometric analysis of hotspots and trends. Frontiers in public health, 10, 943435. https://doi.org/10.3389/fpubh.2022.943435
  • Sakane, N., Oshima, Y., Kotani, K., Suganuma, A., Takahashi, K., Sato, J., Kuzuya, H. (2021). Impact of telephone support programme using telemonitoring on stage of change towards healthy eating and active exercise in people with prediabetes. Journal of Telemedicine and Telecare, 27(5), 307-313. https://doi.org/10.1177/1357633X211010981
  • Sarcona, A., Kovacs, L., Wright, J., & Williams, C. (2017). Differences in eating behavior, physical activity, and health-related lifestyle choices between users and nonusers of mobile health apps. American Journal of Health Education, 48(5), 298-305. https://doi.org/10.1080/19325037.2017.1335630
  • Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57(1), 1-29. https://doi.org/10.1111/j.1464-0597.2007.00325.x
  • Senna, Y. E., Ünlü, H. (2021). Investigation of the relationship between exercise behavior change step and social appearance anxiety and self-efficacy in secondary school students. Turkiye Klinikleri Journal of Sports Sciences, 13(1)100-130. http://dx.doi.org/10.5336/sportsci.2020-744424
  • Sogari, G., Velez-Argumedo, C., Gómez, M. I., Mora, C. (2018). College students and eating habits: a study using an ecological model for healthy behavior. Nutrients, 10(12), 1823. https://doi.org/10.3390/nu10121823
  • Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics. Pearson.
  • Tarp, J., Luo, M., Sanchez-Lastra, M. A., Dalene, K. E., del Pozo Cruz, B., Ried-Larsen, M., Ding, D. (2024). Leisure-time physical activity and all-cause mortality and cardiovascular disease in adults with type 2 diabetes: Cross-country comparison of cohort studies. Journal of Sport and Health Science, 13(2), 212-221. https://doi.org/10.1016/j.jshs.2023.10.004
  • Tong, H. L., Coiera, E., Laranjo, L. (2018). Using a mobile social networking app to promote physical activity: A Qualitative study of users’ perspectives. Journal of Medical Internet Research, 20(12), e11439. https://doi.org/10.2196/11439
  • Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., Hatano, Y., Inoue, S., Matsudo, S. M., Mutrie, N., Oppert, J.-M., Rowe, D. A., Schmidt, M. D., Schofield, G. M., Spence, J. C., Teixeira, P. J., Tully, M. A., Blair, S. N. (2011). How many steps/day are enough? for adults. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 1-17. https://doi.org/10.1186/1479-5868-8-79
  • Tudor-Locke, C., Hatano, Y., Pangrazi, R. P., Kang, M. (2008). Revisiting "how many steps are enough?". Medicine and Science in Sports and Exercise, 40(7), 37-543. https://doi.org/10.1249/MSS.0b013e31817c7133
  • Üstün, N. A., Üstün, Ü. D., Işık, U., Yapıcı, A. (2020). Health belief regarding leisure time physical activity and nutritional attitude: Are they related in athletic and sedentary university students, Progress in Nutrition, 22(1), 156–160. https://doi.org/10.23751/pn.v22i1-S.9810
  • West, J. H., Belvedere, L. M., Andreasen, R., Frandsen, C., Hall, P. C., & Crookston, B. T. (2017). Controlling your “app” etite: how diet and nutrition-related mobile apps lead to behavior change. JMIR Health and Health, 5(7), Article e7410. https://doi.org/10.2196/mhealth.7410
  • Wilson, J. J., Kirk, A., Hayes, K., Bradbury, I., McDonough, S., Tully, M. A., Bradley, J. M. (2016). Applying the transtheoretical model to physical activity behavior in individuals with non-cystic fibrosis bronchiectasis. Respiratory Care, 61(1), 68-77. https://doi.org/10.4187/respcare.04154
  • Zare, M., Tarighat-Esfanjani, A., Rafraf, M., Shaghaghi, A., Asghari-Jafarabadi, M., & Shamshiri, M. (2020). The Barriers and facilitators of self-management among adults with type 2 diabetes mellitus: A Trans theoretical model (TTM)-based mixed method study in Iran. Diabetes, Metabolic Syndrome and Obesity, 45(2), 2687-2699. https://doi.org/10.2147/DMSO.S230083

Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications

Yıl 2025, , 46 - 58, 31.01.2025
https://doi.org/10.33459/cbubesbd.1487187

Öz

This study aimed to examine exercise behavior change, physical activity levels and attitudes toward healthy eating among individuals who perform physical activity using HisApp mobile phone application. The present study was conducted with 246 participants (144 male and 102 female) using the HisApp application (mobile application of the Turkish Sport for All Federation). The weight, height, levels of physical activity and body mass index of the participants were recorded. An exercise behavior changes questionnaire, and a healthy nutrition attitude scale were administered to the participants through Google online survey. Findings showed that exercise behavior changes sub-dimensions and Health Attitude Scale sub-dimensions have a positive correlation. Physical activity positively affects healthy eating attitude sub-dimensions, while no effect was observed on knowledge about nutrition, feelings about nutrition, and malnutrition. The stages of exercise behavior change were related to the attitude scale toward healthy eating. There was a significant positive correlation between physical activity level and positive nutrition variables and a significantly negative correlation with malnutrition (p<0.05). This research concluded that positive attitudes towards healthy eating and encouraging people to make healthier choices can be attributed to a combination of education, accessibility, social norms, individual variables, and environmental factors. Additionally, it was found that individuals using the HisApp physical activity mobile application on their phones showed positive improvements in exercise behavior changes.

Kaynakça

  • Al-zandee, S. S. A., & Ünlü, H. (2019). Investigation of physical activity exercise change behaviors of secondary school students and their predisposition to physical education course. Spormetre Journal of Physical Education and Sports Sciences, 17(3), 100-118. http://dx.doi.org/10.33689/spormetre.521319
  • Arı, Y., & Çakir, E. (2021). Correlation between participation in physical activity and healthy nutrition: An Example of a sports science faculty. Baltic Journal of Health and Physical Activity, 13(3), 37-45. https://doi.org/10.29359/BJHPA.13.3.05
  • Bertram, M., Banatvala, N., Kulikov, A., Belausteguigoitia, I., Sandoval, R., Hennis, A., Webb, D., & Tarlton, D. (2019). Using economic evidence to support policy decisions to fund interventions for non-communicable diseases. BMJ, 365(16),1-4. http://dx.doi.org/10.1136/bmj.l1648
  • Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J. P., Chastin, S., Chou, R., Dempsey, P. C., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C. M., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P. T., Willumsen, J. F. (2020). World health organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451-1462. https://doi.org/10.1136/bjsports-2020-102955
  • Çeker, A., Çekin, R., & Ziyagil, M. A. (2013). Stages of change in regular physical activity participation behavior of men and women in different age groups. CBU Journal of Physical Education and Sport Sciences, 8(1), 11-20. Cengiz, C. (2007). Physical activity and exercise stages of change levels of Middle East Technical University students. Master thesis, Middle East Technical University, General Social Sciences, Ankara.
  • Cengiz, C., Așçı, F. H., & İnce, M.L. (2010). Exercise stages of change questionnaire: Its reliability and validity. International Journal of Sport Studies, 2(1), 32-37.
  • Chiu, W., & Cho, H. (2021). The Role of technology readiness in individuals' intention to use health and fitness applications: A Comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics, 33(3), 807-825. https://doi.org/10.1108/APJML-09-2019-0534
  • Demir, G. T., & Cicioğlu, H. İ. (2019). Attitude scale on healthy eating (SBITÖ): Validity and reliability study. Gaziantep University Journal of Sport Sciences, 4(2), 256-274. https://doi.org/10.31680/gaunjss.559462
  • Demirbaş, A. B., Kılıçaslan, A., Altınsöz, S., Aksakal, H. B., & Alphan, M. E. (2023). Determination of the relationship between healthy eating attitude, random blood glucose and anthropometric measurements in university students. Atlas Journal of Medicine, 4(10), 200-270. https://doi.org/10.54270/atljm.2024.54
  • Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A. (2017). Mobile health interventions for improving health outcomes in youth:Meta-analysis. JAMA Pediatrics, 171(5), 461-469. https://doi.org/10.1001/jamapediatrics.2017.0042
  • Flores Mateo, G., Granado-Font, E., Ferré-Grau, C., & Montaña-Carreras, X. (2015). Mobile phone apps to promote weight loss and increase physical activity: A Systematic review and meta-analysis. Journal of Medical Internet Research, 17(11), e253. https://doi.org/10.2196/jmir.4836
  • George, D., and Mallery, P. (2010). SPSS for windows step by step: A Simple guide and reference. Allyn & Bacon.
  • Gülşen, O. (2018). Investigation of exercise behavior changes of individuals undergoing imagery training. Spormetre Journal of Physical Education and Sport Sciences, 16(3), 48-60. https://doi.org/DOI:%2010.1501/Sporm_0000000375
  • Jiménez-Zazo, F., Romero-Blanco, C., Castro-Lemus, N., Dorado-Suárez, A., & Aznar, S. (2020). Transtheoretical model for physical activity in older adults: Systematic review. International journal of Environmental Research and Public Health, 17(24), 9262. https://doi.org/10.3390/ijerph17249262
  • Katzmarzyk, P. T., Friedenreich, C., Shiroma, E. J., & Lee, I. M. (2022). Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries. British Journal of Sports Medicine, 56(2), 101-106. https://doi.org/10.1136/bjsports-2020-103640
  • Kim, H. N., & Seo, K. (2020). Smartphone-based health program for improving physical activity and tackling obesity for young adults: A Systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 17(1), Article 15. https://doi.org/10.3390/ijerph17010015
  • Kim, Y. (2021). Relationships of physical activity with the transtheoretical model constructs among Korean adults. International Journal of Health Promotion and Education, 59(5), 276-285. https://doi.org/10.1080/14635240.2020.1740608.
  • Kitiş, Y., & Gümüş, Y. (2015). Determination of 20 years and older women's physical activity levels, beliefs about physical activity and behavior stages. Gümüşhane University Journal of Health Sciences, 4(3), 399-411.
  • Lee, M., Lee, H., Kim, Y., Kim, J., Cho, M., Jang, J., & Jang, H. (2018). Mobile app-based health promotion programs: A Systematic review of the literature. International Journal of Environmental Research and Public Health, 15(12), Article 2838. https://doi.org/10.3390/ijerph15122838
  • Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet, 20(1),1-12. https://doi.org/10.1186/s12889-020-09855-3 219-229
  • Liliana, L., Ding, D., Bruno, H., Baki, K., Juan, C. Q., Huong Ly, T., Bahia, C., Ana Luisa, N., Elia, G., Kim Phuong, D., David, R., Gisela Costa, N., Maria, L. A., Enrico, C., & David, W. B. (2021). Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine, 55(8), 422-132. https://doi.org/10.1136/bjsports-2020-102892
  • Marcus, B. H., Lewis, B. A. (2003). Physical activity and the stages of motivational readiness for change model. President's Council on Physical Fitness and Sports Research Digest, 10(1), 1-10.
  • Posadzki, P., Pieper, D., Bajpai, R., Makaruk, H., Könsgen, N., Neuhaus, A. L., & Semwal, M. (2020). Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews. BMC Public Health, 20, 1-12.
  • Sabe, M., Chen, C., Sentissi, O., Deenik, J., Vancampfort, D., Firth, J., & Solmi, M. (2022). Thirty years of research on physical activity, mental health, and wellbeing: A scientometric analysis of hotspots and trends. Frontiers in public health, 10, 943435. https://doi.org/10.3389/fpubh.2022.943435
  • Sakane, N., Oshima, Y., Kotani, K., Suganuma, A., Takahashi, K., Sato, J., Kuzuya, H. (2021). Impact of telephone support programme using telemonitoring on stage of change towards healthy eating and active exercise in people with prediabetes. Journal of Telemedicine and Telecare, 27(5), 307-313. https://doi.org/10.1177/1357633X211010981
  • Sarcona, A., Kovacs, L., Wright, J., & Williams, C. (2017). Differences in eating behavior, physical activity, and health-related lifestyle choices between users and nonusers of mobile health apps. American Journal of Health Education, 48(5), 298-305. https://doi.org/10.1080/19325037.2017.1335630
  • Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57(1), 1-29. https://doi.org/10.1111/j.1464-0597.2007.00325.x
  • Senna, Y. E., Ünlü, H. (2021). Investigation of the relationship between exercise behavior change step and social appearance anxiety and self-efficacy in secondary school students. Turkiye Klinikleri Journal of Sports Sciences, 13(1)100-130. http://dx.doi.org/10.5336/sportsci.2020-744424
  • Sogari, G., Velez-Argumedo, C., Gómez, M. I., Mora, C. (2018). College students and eating habits: a study using an ecological model for healthy behavior. Nutrients, 10(12), 1823. https://doi.org/10.3390/nu10121823
  • Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics. Pearson.
  • Tarp, J., Luo, M., Sanchez-Lastra, M. A., Dalene, K. E., del Pozo Cruz, B., Ried-Larsen, M., Ding, D. (2024). Leisure-time physical activity and all-cause mortality and cardiovascular disease in adults with type 2 diabetes: Cross-country comparison of cohort studies. Journal of Sport and Health Science, 13(2), 212-221. https://doi.org/10.1016/j.jshs.2023.10.004
  • Tong, H. L., Coiera, E., Laranjo, L. (2018). Using a mobile social networking app to promote physical activity: A Qualitative study of users’ perspectives. Journal of Medical Internet Research, 20(12), e11439. https://doi.org/10.2196/11439
  • Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., Hatano, Y., Inoue, S., Matsudo, S. M., Mutrie, N., Oppert, J.-M., Rowe, D. A., Schmidt, M. D., Schofield, G. M., Spence, J. C., Teixeira, P. J., Tully, M. A., Blair, S. N. (2011). How many steps/day are enough? for adults. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 1-17. https://doi.org/10.1186/1479-5868-8-79
  • Tudor-Locke, C., Hatano, Y., Pangrazi, R. P., Kang, M. (2008). Revisiting "how many steps are enough?". Medicine and Science in Sports and Exercise, 40(7), 37-543. https://doi.org/10.1249/MSS.0b013e31817c7133
  • Üstün, N. A., Üstün, Ü. D., Işık, U., Yapıcı, A. (2020). Health belief regarding leisure time physical activity and nutritional attitude: Are they related in athletic and sedentary university students, Progress in Nutrition, 22(1), 156–160. https://doi.org/10.23751/pn.v22i1-S.9810
  • West, J. H., Belvedere, L. M., Andreasen, R., Frandsen, C., Hall, P. C., & Crookston, B. T. (2017). Controlling your “app” etite: how diet and nutrition-related mobile apps lead to behavior change. JMIR Health and Health, 5(7), Article e7410. https://doi.org/10.2196/mhealth.7410
  • Wilson, J. J., Kirk, A., Hayes, K., Bradbury, I., McDonough, S., Tully, M. A., Bradley, J. M. (2016). Applying the transtheoretical model to physical activity behavior in individuals with non-cystic fibrosis bronchiectasis. Respiratory Care, 61(1), 68-77. https://doi.org/10.4187/respcare.04154
  • Zare, M., Tarighat-Esfanjani, A., Rafraf, M., Shaghaghi, A., Asghari-Jafarabadi, M., & Shamshiri, M. (2020). The Barriers and facilitators of self-management among adults with type 2 diabetes mellitus: A Trans theoretical model (TTM)-based mixed method study in Iran. Diabetes, Metabolic Syndrome and Obesity, 45(2), 2687-2699. https://doi.org/10.2147/DMSO.S230083
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Engelliler için Beden Eğitimi, Spor ve Fiziksel Aktivite, Egzersiz ve Spor Bilimleri (Diğer)
Bölüm Makaleler
Yazarlar

Yağmur Yıldız 0000-0001-6852-2364

Erken Görünüm Tarihi 6 Ocak 2025
Yayımlanma Tarihi 31 Ocak 2025
Gönderilme Tarihi 20 Mayıs 2024
Kabul Tarihi 2 Eylül 2024
Yayımlandığı Sayı Yıl 2025

Kaynak Göster

APA Yıldız, Y. (2025). Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications. CBÜ Beden Eğitimi Ve Spor Bilimleri Dergisi, 20(1), 46-58. https://doi.org/10.33459/cbubesbd.1487187
AMA Yıldız Y. Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications. CBÜ BESBD. Ocak 2025;20(1):46-58. doi:10.33459/cbubesbd.1487187
Chicago Yıldız, Yağmur. “Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications”. CBÜ Beden Eğitimi Ve Spor Bilimleri Dergisi 20, sy. 1 (Ocak 2025): 46-58. https://doi.org/10.33459/cbubesbd.1487187.
EndNote Yıldız Y (01 Ocak 2025) Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications. CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi 20 1 46–58.
IEEE Y. Yıldız, “Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications”, CBÜ BESBD, c. 20, sy. 1, ss. 46–58, 2025, doi: 10.33459/cbubesbd.1487187.
ISNAD Yıldız, Yağmur. “Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications”. CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi 20/1 (Ocak 2025), 46-58. https://doi.org/10.33459/cbubesbd.1487187.
JAMA Yıldız Y. Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications. CBÜ BESBD. 2025;20:46–58.
MLA Yıldız, Yağmur. “Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications”. CBÜ Beden Eğitimi Ve Spor Bilimleri Dergisi, c. 20, sy. 1, 2025, ss. 46-58, doi:10.33459/cbubesbd.1487187.
Vancouver Yıldız Y. Relationship Between Exercise Behavior Change, Physical Activity Levels and Healthy Eating Attitudes in Individuals Using Mobile Phone Applications. CBÜ BESBD. 2025;20(1):46-58.