I have read with great interest the article published in the Journal of Cachexia, Sarcopenia and Muscle on the knowledge and practices in anorexia of ageing (AA) diagnosis and management in Japan [1]. The study provides valuable insights into the current state of AA management among healthcare professionals in Japan, emphasizing the critical role of continuing education. While the article is well written and contributes meaningfully to the field, I believe there are several areas where constructive suggestions could further enhance the interpretation and application of the results.

From a statistical perspective, the study has some limitations that merit consideration. The use of descriptive statistics and chi-square tests to compare differences between the education and non-education groups is commendable. However, incorporating multivariable regression models could make the analysis even more insightful, as these models would effectively control for potential confounding factors such as participants' work experience, institutional resources and overall attitudes towards elderly care. Additionally, examining interaction effects could significantly enhance the persuasiveness of the study's findings. Education may impact the management of AA differently across various professions, regions or institutions. Considering these interaction effects within the statistical models would provide a deeper understanding of how these factors collectively influence the results [2].

To address the challenges highlighted by this study, I propose a multidisciplinary approach involving community health initiatives. A coordinated effort that includes healthcare providers, community health workers, social workers and government officials could create a more supportive environment for managing AA. For example, community-based nutrition education programmes could be developed to reach a broader audience, including those outside academic settings. Additionally, leveraging the role of community health workers to monitor and manage AA in older adults could enhance early detection and intervention [3], particularly in underserved areas.

In conclusion, while the article offers valuable contributions to understanding AA management in Japan, our suggestions aim to make an already excellent article even better. I look forward to seeing continued efforts from healthcare professionals, volunteers, government officials and social workers to create a healthier and more supportive environment for older adults.

我饶有兴趣地阅读了发表在《恶病质、肌肉减少症和肌肉杂志》上的文章，该文章介绍了日本老龄化厌食症 （AA） 诊断和管理的知识和实践 [1]。该研究为日本医疗保健专业人员的 AA 管理现状提供了宝贵的见解，强调了继续教育的关键作用。虽然这篇文章写得很好，对该领域做出了有意义的贡献，但我相信在几个领域，建设性的建议可以进一步加强对结果的解释和应用。

从统计的角度来看，这项研究有一些值得考虑的局限性。使用描述性统计和卡方检验来比较教育和非教育群体之间的差异是值得称赞的。然而，结合多变量回归模型可以使分析更具洞察力，因为这些模型将有效控制潜在的混杂因素，例如参与者的工作经验、机构资源和对老年护理的整体态度。此外，检查交互效应可以显着增强研究结果的说服力。教育对不同专业、地区或机构的 AA 管理的影响可能不同。在统计模型中考虑这些交互效应将有助于更深入地了解这些因素如何共同影响结果 [2]。

为了应对本研究强调的挑战，我提出了一种涉及社区健康倡议的多学科方法。包括医疗保健提供者、社区卫生工作者、社会工作者和政府官员在内的协调努力可以为管理 AA 创造一个更具支持性的环境。例如，可以制定基于社区的营养教育计划，以覆盖更广泛的受众，包括学术环境以外的受众。此外，利用社区卫生工作者的作用来监测和管理老年人的 AA 可以加强早期发现和干预 [3]，尤其是在服务不足的地区。

总之，虽然这篇文章为理解日本的 AA 管理提供了宝贵的贡献，但我们的建议旨在使一篇已经很优秀的文章变得更好。我期待看到医疗保健专业人员、志愿者、政府官员和社会工作者继续努力，为老年人创造一个更健康、更支持的环境。