The impact of AI-based fitness applications on perceived stress in university students
By: Ștefan Alecu

References
- American College Health Association. (2022). National College Health Assessment III: Undergraduate student reference group.
- Beiter, R. et al. (2015). The prevalence and correlates of depression, anxiety, and stress in a sample of college students. Journal of Affective Disorders, 173, 90–96. https://doi.org/10.1016/j.jad.2014.10.054
- Bernstein, E. E. et al. (2024). Lessons and Untapped Potential of Smartphone-based physical activity interventions for mental health. JMIR mHealth and uHealth. https://doi.org/10.2196/45860
- Bilal, A. M. et al. (2022). Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol. BMJ Open, 12, e059033. https://doi.org/10.1136/bmjopen-2021-059033
- Buysse, D. J. et al. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4
- Businelle, M. S., Perski, O., Hébert, E. T., & Kendzor, D. E. (2024). Mobile Health Interventions for Substance Use Disorders. Annual review of clinical psychology, 20(1), 49–76. https://doi.org/10.1146/annurev-clinpsy-080822-042337
- Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404
- Dishman, R. K., Berthoud, H. R., Booth, F. W., Cotman, C. W., Edgerton, V. R., Fleshner, M. R., Gandevia, S. C., Gomez-Pinilla, F., Greenwood, B. N., Hillman, C. H., Kramer, A. F., Levin, B. E., Moran, T. H., Russo-Neustadt, A. A., Salamone, J. D., Van Hoomissen, J. D., Wade, C. E., York, D. A., & Zigmond, M. J. (2006). Neurobiology of exercise. Obesity, 14(3), 345–356. https://doi.org/10.1038/oby.2006.46
- Haslacher, H., Michlmayr, M., Batmyagmar, D., Perkmann, T., Ponocny-Seliger, E., Scheichenberger, V., Scherzer, T. M., Nistler, S., Pilger, A., Dal-Bianco, P., Lehrner, J., Pezawas, L., Wagner, O. F., & Winker, R. (2015). rs6295 [C]-Allele Protects Against Depressive Mood in Elderly Endurance Athletes. Journal of Sport and Exercise Psychology, 37(6), 637-645. Retrieved Apr 12, 2026, from https://doi.org/10.1123/jsep.2015-0111
- Hou L, Guo Y, Lian B, Wang Y, Li C, Wang G, Li Q, Pang J, Sun H and Sun L (2018) Synaptic Ultrastructure Might Be Involved in HCN1-Related BDNF mRNA in Withdrawal-Anxiety After Ethanol Dependence. Front. Psychiatry 9:215. doi: https://doi.org/10.3389/fpsyt.2018.00215
- Jacka, F. N., O’Neil, A., Opie, R., Itsiopoulos, C., Cotton, S., Mohebbi, M., Castle, D., Dash, S., Mihalopoulos, C., Chatterton, M. L., Brazionis, L., Dean, O. M., Hodge, A. M., & Berk, M. (2017). A randomised controlled trial of dietary improvement for adults with major depression. BMC Medicine, 15, 23. https://doi.org/10.1186/s12916-017-0791-y
- Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety, and psychological distress. International Journal of Adolescence and Youth, 25(1), 79–93. https://doi.org/10.1080/02673843.2019.1590851
- Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W. T., Shar, A., Spring, B., Spruijt-Metz, D., Hedeker, D., Honavar, V., Kravitz, R., Lefebvre, R. C., Mohr, D. C., Murphy, S. A., Quinn, C., Shusterman, V., & Swendeman, D. (2013). Mobile health technology evaluation: the mHealth evidence workshop. American journal of preventive medicine, 45(2), 228–236. https://doi.org/10.1016/j.amepre.2013.03.017
- Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.
- Le Glaz A, Haralambous Y, Kim-Dufor DH, Lenca P, Billot R, Ryan TC, Marsh J, DeVylder J, Walter M, Berrouiguet S, Lemey C. (2021). Machine Learning and Natural Language Processing in Mental Health: Systematic Review J Med Internet Res; 23(5):e15708 https://doi.org/10.2196/15708
- Levens SM, Sagui-Henson SJ, Padro M, Martin LE, Trucco EM, Cooperman NA, Baldwin AS, Kassianos AP, Mdege ND. (2019). The Effects of Positive Affect and Episodic Future Thinking on Temporal Discounting and Healthy Food Demand and Choice Among Overweight and Obese Individuals: Protocol for a Pilot 2×2 Factorial Randomized Controlled Study JMIR Res Protoc; 8(3):e12265 https://doi.org/10.2196/12265
- Levy J, Mussack D, Brunner M, Keller U, Cardoso-Leite P and Fischbach A (2020) Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data. Front. Psychol. 11:2190. https://doi.org/10.3389/fpsyg.2020.02190
- Lund, H. G. et al. (2010). Sleep Patterns and Predictors of Disturbed Sleep in a Large Population of College Students. Journal of Adolescent Health, 46(2), 124–132. https://doi.org/10.1016/j.jadohealth.2009.06.016
- Mair, J. L. et al. (2025). Feasibility of the LvL UP digital lifestyle coaching intervention designed to prevent non-communicable diseases and common mental disorders. Scientific Reports, 15, 30960. https://doi.org/10.1038/s41598-025-30960-z
- Marenus, M. W. et al. (2021). Feasibility and Effectiveness of the Web-Based WeActive and WeMindful Interventions on Physical Activity and Psychological Well-Being. BioMed Research International. https://doi.org/10.1155/2021/8400241
- McEwen, B. S. (2007). Physiology and neurobiology of stress and adaptation: Central Role of the Brain. Physiological Reviews, 87(3), 873–904. https://doi.org/10.1152/physrev.00041.2006
- Onea, G. A., Balint, L., & Oprea, D. (2018). A Case Study-Determining the Muscle Imbalance of the Juniors 3 in Hurdles Events through Biodex System 4 ProTM. Bulletin of the Transilvania University of Braşov. Series IX: Sciences of Human Kinetics, 57-64.
- Pascoe, M. C. et al. (2020). The impact of stress on students in secondary school and higher education. International Journal of Adolescence and Youth, 25(1), 104–112. https://doi.org/10.1080/02673843.2019.1596823
- Przybylski, A. K., & Weinstein, N. (2017). A Large-Scale Test of the Goldilocks Hypothesis: Quantifying the Relations Between Digital-Screen Use and the Mental Well-Being of Adolescents. Psychological Science, 28(2), 204–215. https://doi.org/10.1177/0956797616678438
- Rebar, A. L. et al. (2015). Physical activity and mental health. Journal of Sport and Exercise Psychology, 37(6), 559–574. https://doi.org/10.1123/jsep.2015-0111
- Baryshnikov, I., Rosenstrom T., Jylha, P., Koivisto, M. et al. (2018). State and trait hopelessness in a prospective five-year study of patients with depressive disorders. Journal of Affective Disorders, 239, 107–114. https://doi.org/10.1016/j.jad.2018.07.007
- Teixeira, P.J., Carraça, E.V., Markland, D. et al. Exercise, physical activity, and self-determination theory: A systematic review. Int J Behav Nutr Phys Act 9, 78 (2012). https://doi.org/10.1186/1479-5868-9-78
- Teris, S., Lakotos, I. I., & Koronas, V. (2024). Training Model Designed to Strengthen and Improve the Pass for Juniors 10–12 Years. Bulletin of the Transilvania University of Braşov. Series IX: Sciences of Human Kinetics, 199-206. https://doi.org/10.31926/but.shk.2024.17.66.1.7
- Twenge, J. M., & Campbell, W. K. (2018). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive Medicine Reports, 12, 271–283. https://doi.org/10.1016/j.pmedr.2018.10.003
- Zach, S., Fernandez-Rio, J., Zeev, A., Ophir, M., & Eilat-Adar, S. (2021). Physical activity, resilience, emotions, moods, and weight control, during the COVID-19 global crisis. Israel Journal of Health Policy Research, 10, 52. https://doi.org/10.1186/s13584-021-00473-x
DOI: https://doi.org/10.2478/tperj-2026-0002 | Journal eISSN: 2199-6040 (formerly 2065-0574) | Journal ISSN: 2065-0574
Language: English
Page range: 1 - 7
Published on: Aug 19, 2026
Published by: West University of Timisoara
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2026 Ștefan Alecu, published by West University of Timisoara
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.