Does ChatGPT provide comprehensive and accurate information regarding the effects, types and programming of core exercises?

Year 2024, , 178 - 182, 30.09.2024

Erkan Erol , Halime Arıkan

https://doi.org/10.31459/turkjkin.1516614

Abstract

The objective of this study is to assess the accuracy of ChatGPT's responses regarding core exercises. A total of 23 questions were asked to ChatGPT 3.5 about core exercises. Nine physiotherapists assessed the accuracy of the answers provided by ChatGPT for these questions using a 5-point Likert scale (5: strongly agree, 1: strongly disagree). The maximum possible score achievable through Likert scoring is 115, while the minimum score is 23. The answers of the artificial intelligence received an average of 3.93±0.46 (minimum: 3.48, maximum: 4.91) points. The lowest score obtained from the responses of ChatGPT was 3.22 ± 0.97 (question 21), whereas the highest score was 4.56 ± 0.53 (questions 12 and 18). Despite having some shortcomings, ChatGPT has generally provided satisfactory answers regarding core exercises. Artificial intelligence holds the potential to offer counselling to individuals, enhance their health outcomes, and support the work of professionals across the field of exercise science, including health and sports specialists.

Keywords

Artificial intelligence, ChatGPT, exercise

References

• Akuthota, V., Ferreiro, A., Moore, T., & Fredericson, M. (2008). Core stability exercise principles. Curr Sports Med Rep, 7(1), 39–44.
• Borresen, J., & Ian Lambert, M. (2009). The quantification of training load, the training response and the effect on performance. Sport Med, 39(9), 779–795.
• Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innov Educ Teach Int, 61(2), 228–239.
• Coulombe, B. J., Games, K. E., Neil, E. R., & Eberman, L. E. (2017). Core Stability Exercise Versus General Exercise for Chronic Low Back Pain. J Athl Train, 52(1), 71–72.
• Crisco, J. J., Panjabi, M. M., Yamamoto, I., & Oxland, T. R. (1992). Euler stability of the human ligamentous lumbar spine. Part II: Experiment. Clin Biomech, 7(1), 27–32.
• Daniel, G., Cabot, J., Deruelle, L., & Derras, M. (2020). Xatkit: A Multimodal Low-Code Chatbot Development Framework. IEEE Access, 8, 15332–15346.
• Dergaa, I., Ben Saad, H., El Omri, A., Glenn, J., Clark, C., Washif, J., Guelmami, N., Hammouda, O., Al-Horani, R., Reynoso-Sánchez, L., Romdhani, M., Paineiras-Domingos, L., Vancini, R., Taheri, M., Mataruna-Dos-Santos, L., Trabelsi, K., Chtourou, H., Zghibi, M., Eken, Ö., … Chamari, K. (2024). Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI’s GPT-4 model. Biol Sport, 41(2), 221–241.
• Dergaa, I., Ben Saad, H., Ghouili, H., M Glenn, J., El Omri, A., Slim, I., Hasni, Y., Taheri, M., Ben Aissa, M., Guelmami, N., Al-Horani, R., Washif, J. A., Shoib, S., Mohammed Alyasiri, O., Jose Mataruna-Dos-Santos, L., Ferreira Alves, R., Ibrahim Ceylan, H., Swed, S., Alshahrani, N. Z., … Chamari, K. (2024). Evaluating the Applicability and Appropriateness of ChatGPT as a Source for Tailored Nutrition Advice: A Multi-Scenario Study. New Asian J Med, 2(1), 1–16.
• Hlaing, S. S., Puntumetakul, R., Wanpen, S., & Saiklang, P. (2021). Updates on core stabilization exercise and strengthening exercise: A review article. Asia-Pacific J Sci Technol, 26(4), APST–26.
• Kibler, W. Ben, Press, J., & Sciascia, A. (2006). The role of core stability in athletic function. Sport Med, 36(3), 189–198.
• Li, X., Shen, J., Liang, J., Zhou, X., Yang, Y., Wang, D., Wang, S., Wang, L., Wang, H., & Du, Q. (2021). Effect of core-based exercise in people with scoliosis: A systematic review and meta-analysis. Clin Rehabil, 35(5), 669–680.
• Massey, P. A., Montgomery, C., & Zhang, A. S. (2023). Comparison of ChatGPT–3.5, ChatGPT-4, and Orthopaedic Resident Performance on Orthopaedic Assessment Examinations. J Am Acad Orthop Surg, 31(23), 1173.
• McGill, S. (2010). Core Training: Evidence Translating to Better Performance and Injury Prevention. Strength Cond J, 32(3), 33–46.
• Olçar, H. A., Akbuğa, G. A., Ulutürk, S., Doğan, Ş. A., Korkmaz, M., & Korkmaz, İ. N. (2023). Evaluation of the ChatGPT-4 Artificial Intelligence Response to the Problems of Hip Replacement. Bozok Med J, 13(4), 118–122.
• Reed, C. A., Ford, K. R., Myer, G. D., & Hewett, T. E. (2012). The Effects of Isolated and Integrated ‘Core Stability’ Training on Athletic Performance Measures. Sport Med, 42(8), 697–706.
• Sannasi, R., Dakshinamurthy, A., Dommerholt, J., Desai, V., Kumar, A., & Sugavanam, T. (2023). Diaphragm and core stabilization exercises in low back pain: A narrative review. J Bodyw Mov Ther, 36, 221–227.
• Vera-Garcia, F. J., Irles-Vidal, B., Prat-Luri, A., García-Vaquero, M. P., Barbado, D., & Juan-Recio, C. (2020). Progressions of core stabilization exercises based on postural control challenge assessment. Eur J Appl Physiol, 120, 567–577.
• Washif, J., Pagaduan, J., James, C., Dergaa, I., & Beaven, C. (2024). Artificial intelligence in sport: Exploring the potential of using ChatGPT in resistance training prescription. Biol Sport, 41(2), 209–220.
• Yu, S. H., & Park, S. D. (2013). The effects of core stability strength exercise on muscle activity and trunk impairment scale in stroke patients. J Exerc Rehabil, 9(3), 362–367.
• Zemková, E., & Zapletalová, L. (2021). Back problems: Pros and cons of core strengthening exercises as a part of athlete training. Int J Environ Res Public Health, 18(10), 5400.
• Zemková, E., & Zapletalová, L. (2022). The role of neuromuscular control of postural and core stability in functional movement and athlete performance. Front Physiol, 13, 796097.