Author(s)

Xin Fang^#, NianKun Zhang^#, ChunLing Guo^*, Dan Li^*, Xu Sun^*

Affiliation(s)

Sports Training College, Xi'an Physical Education University, Xi' an 710068, Shaanxi, China.

Corresponding Author

ChunLing Guo, Dan Li, Xu Sun

ABSTRACT

This study responds to the call to accelerate the digital transformation in rural areas, and pays special attention to promoting the active and healthy aging of rural elderly. We used generative artificial intelligence (AI) technology to develop and evaluate personalized exercise prescriptions, and planned a digital and inclusive path for rural fitness projects. This study adopts a mixed design method, which combines controlled field experiments, systematic literature review and semi-structured expert interviews. Firstly, a theoretical framework based on evidence is established by synthesizing domestic and foreign literatures. Secondly, experts in the fields of rural public health, sports science and digital health were interviewed to improve the intervention program. Finally, a number of field experiments were carried out in rural communities. Baseline health data were collected from older people living in the community. Then, the generative AI algorithm generates a personalized exercise prescription, which details the exercise mode, intensity, duration, frequency and progress. Participants followed the plan of AI generation and performed 12 weeks of exercise under the supervision and guidance of coaches.

KEYWORDS

Exercise prescription; Generative AI; Rural elderly; Personalized fitness; Rural revitalization

CITE THIS PAPER

Xin Fang, NianKun Zhang, ChunLing Guo, Dan Li, Xu Sun. The implementation path of personalized fitness for rural elderly empowered by intelligent exercise prescription. Trends in Social Sciences and Humanities Research. 2025, 3(5): 17-22. DOI: https://doi.org/10.61784/tsshr3168.

REFERENCES

[1] Wang Yang, Chen Yong. Spatial integration and Rural Revitalization: the practical logic of promoting farmers' centralized residence in the new era. JOURNAL OF SOUTHWEST UNIVERSITY (SOCIAL SCIENCE EDITION), 2023, 49(5): 42-52. DOI: 10.13718/j.cnki.xdsk.2023.05.004.

[2] Songpei, Li Lin, Ai Yang, et al. Technology selection and effect evaluation of China's digital economy innovation and development. scientific research, 2023, 41(8): 1410-1421. DOI: 10.3969/j.issn.1003-2053.2023.08.007.

[3] Wang Yang, Chen Yong. Spatial integration and Rural Revitalization: the practical logic of promoting farmers' centralized residence in the new era. Journal of Southwest University: Social Science Edition, 2023, 49(5): 42-52.

[4] Jin Wenhui, Zhang Wenjia. Review of the current situation of financial service security for rural elderly population and system reconstruction. Journal of Chongqing University (SOCIAL SCIENCE EDITION), 2023, 1-14. https://link.cnki.net/urlid/50.1023.C.20230615.1547.002.

[5] Yueying W. Exploring the Causes of Low Health Information Literacy Among Rural Middle-Aged and Elderly Adults and its Improvement Strategies. Journal of Library & Information Science in Agriculture, 2024, 36(2): 81-93. DOI: 10.13998/j.cnki.issn1002-1248.23-0723.

[6] Zhang Yawen, Yang Yanan, Ren Zheng, et al. Intelligent terminal product design for home care based on the elderly. science and technology information, 2022, 20(10): 245-247. DOI: 10.16661/j.cnki.1672-3791.2201-5042-1528.

[7] Dergaa I, Saad H B, Omri A E, et al. Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model. Biology of Sport, 2024, 41(2): 221-241. DOI: 10.5114/biolsport.2024.133661.

[8] Masnoon N, Mclinpharm S L, Baysari M, et al. Consumer and multidisciplinary clinician experiences after implementation of the Drug Burden Index intervention bundle to facilitate deprescribing in older inpatients: A mixed method study. Journal of Evaluation in Clinical Practice, 2025, 31(1): e14220. DOI: 10.1111/jep.14220.

[9] Qinshuhong, liruilin, zhengzhanhang, et al. Systematic review of risk prediction models for mild cognitive impairment in the elderly. Journal of practical cardio cerebrovascular diseases, 2024, 32(10): 88-93.

[10] Wang Yuhan. Research on the effect of the intervention mode of "self-management first, supplemented by family and community support" on the health promotion of the elderly with chronic diseases in rural areas. [Doctoral ’s thesis]. Hebei Union University, China. 2014.

[11] Huang Rong, Wang Lei, Li Ruochen. The logic, Dilemma and path of Intelligent Exercise Prescription promoting the development of national fitness. Journal of Shandong Institute of physical education, 2024, 40(05): 39-48. DOI: 10.14104/j.cnki.1006-2076.2024.05.005.