ArticleBMC public health2025
GPT- 4 as a virtual fitness coach: a case study assessing its effectiveness in providing weight loss and fitness guidance.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- AI-Generated Exercise Prescriptions for At-Risk Populations: Safety and Feasibility of a Large Language Model Assessed by Expert Evaluation.Journal of clinical medicine · 2026Article
- Uncertainty-aware federated temporal learning with explainable LLM-based coaching for privacy-preserving wearable health systems.Frontiers in artificial intelligence · 2026Article
- More details, less variability? A crossover design study on the impact of information granularity on ChatGPT's training program stability.Biology of sport · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAs 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.
methodA 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.
resultsGPT-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).
conclusionsGPT-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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.