{"title":"GPT- 4作为虚拟健身教练：评估其在提供减肥和健身指导方面的有效性的案例研究。","authors":"Guanchong Li, Hansen Li, Yuqin Su, Yun Li, Sijia Jiang, Guodong Zhang","doi":"10.1186/s12889-025-22739-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As obesity presents a growing public health challenge, demand for personalized fitness solutions has increased. This study evaluates GPT-4's effectiveness as a virtual fitness coach for creating personalized plans.</p><p><strong>Method: </strong>A 24-year-old Chinese female's data was used by GPT-4 and three professional coaches to develop 16-week fitness plans. Experts evaluated these plans on personalization, effectiveness, comprehensiveness, and safety. Statistical analyses were performed.</p><p><strong>Results: </strong>GPT-4 excelled in personalization (M = 12.80, SD = 0.84) compared to coaches (M = 11.53, SD = 0.46), However, the difference wasn't big enough to be considered statistically significant (p > 0.05). In terms of effectiveness (GPT-4: M = 12.60, Coaches: M = 12.80), safety (GPT-4: M = 12.20, Coaches: M = 12.33), and comprehensiveness (GPT-4: M = 12.00, Coaches: M = 12.13), coaches slightly outperformed GPT-4, But again, these differences didn't reach statistical significance (p > 0.05).</p><p><strong>Conclusions: </strong>GPT-4 shows promise as a virtual fitness coach but cannot fully replace human coaches due to technological limitations. Future research should explore enhancing AI models' applicability in sports and their collaboration with coaches for optimal personalized fitness solutions.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"25 1","pages":"2466"},"PeriodicalIF":3.6000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261634/pdf/","citationCount":"0","resultStr":"{\"title\":\"GPT- 4 as a virtual fitness coach: a case study assessing its effectiveness in providing weight loss and fitness guidance.\",\"authors\":\"Guanchong Li, Hansen Li, Yuqin Su, Yun Li, Sijia Jiang, Guodong Zhang\",\"doi\":\"10.1186/s12889-025-22739-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>As obesity presents a growing public health challenge, demand for personalized fitness solutions has increased. This study evaluates GPT-4's effectiveness as a virtual fitness coach for creating personalized plans.</p><p><strong>Method: </strong>A 24-year-old Chinese female's data was used by GPT-4 and three professional coaches to develop 16-week fitness plans. Experts evaluated these plans on personalization, effectiveness, comprehensiveness, and safety. Statistical analyses were performed.</p><p><strong>Results: </strong>GPT-4 excelled in personalization (M = 12.80, SD = 0.84) compared to coaches (M = 11.53, SD = 0.46), However, the difference wasn't big enough to be considered statistically significant (p > 0.05). In terms of effectiveness (GPT-4: M = 12.60, Coaches: M = 12.80), safety (GPT-4: M = 12.20, Coaches: M = 12.33), and comprehensiveness (GPT-4: M = 12.00, Coaches: M = 12.13), coaches slightly outperformed GPT-4, But again, these differences didn't reach statistical significance (p > 0.05).</p><p><strong>Conclusions: </strong>GPT-4 shows promise as a virtual fitness coach but cannot fully replace human coaches due to technological limitations. Future research should explore enhancing AI models' applicability in sports and their collaboration with coaches for optimal personalized fitness solutions.</p>\",\"PeriodicalId\":9039,\"journal\":{\"name\":\"BMC Public Health\",\"volume\":\"25 1\",\"pages\":\"2466\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261634/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12889-025-22739-8\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-025-22739-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
背景：随着肥胖成为日益严重的公共健康挑战，对个性化健身解决方案的需求也在增加。本研究评估了GPT-4作为虚拟健身教练创建个性化计划的有效性。方法：采用GPT-4和3名专业教练的数据，对一名24岁的中国女性进行为期16周的健身计划。专家从个性化、有效性、全面性和安全性等方面对这些计划进行了评估。进行统计学分析。结果：GPT-4在个性化方面（M = 12.80, SD = 0.84）优于教练员（M = 11.53, SD = 0.46），但差异不显著（p < 0.05）。在有效性（GPT-4: M = 12.60, Coaches: M = 12.80）、安全性（GPT-4: M = 12.20, Coaches: M = 12.33）和综合性（GPT-4: M = 12.00, Coaches: M = 12.13）方面，教练员略优于GPT-4，但差异也没有达到统计学意义（p > 0.05）。结论：GPT-4作为虚拟健身教练是有前景的，但由于技术的限制，不能完全取代人类教练。未来的研究应该探索增强人工智能模型在体育运动中的适用性，以及它们与教练的合作，以获得最佳的个性化健身解决方案。
GPT- 4 as a virtual fitness coach: a case study assessing its effectiveness in providing weight loss and fitness guidance.
Background: As obesity presents a growing public health challenge, demand for personalized fitness solutions has increased. This study evaluates GPT-4's effectiveness as a virtual fitness coach for creating personalized plans.
Method: A 24-year-old Chinese female's data was used by GPT-4 and three professional coaches to develop 16-week fitness plans. Experts evaluated these plans on personalization, effectiveness, comprehensiveness, and safety. Statistical analyses were performed.
Results: GPT-4 excelled in personalization (M = 12.80, SD = 0.84) compared to coaches (M = 11.53, SD = 0.46), However, the difference wasn't big enough to be considered statistically significant (p > 0.05). In terms of effectiveness (GPT-4: M = 12.60, Coaches: M = 12.80), safety (GPT-4: M = 12.20, Coaches: M = 12.33), and comprehensiveness (GPT-4: M = 12.00, Coaches: M = 12.13), coaches slightly outperformed GPT-4, But again, these differences didn't reach statistical significance (p > 0.05).
Conclusions: GPT-4 shows promise as a virtual fitness coach but cannot fully replace human coaches due to technological limitations. Future research should explore enhancing AI models' applicability in sports and their collaboration with coaches for optimal personalized fitness solutions.
期刊介绍：
BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
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