Enichen Elizabeth J, Heydari Kimia, Kvedar Joseph C
Harvard Medical School, Boston, MA, USA.
NPJ Digit Med. 2024 Dec 18;7(1):360. doi: 10.1038/s41746-024-01376-2.
Qiao et al. recently investigated the ability of dual-energy X-ray absorptiometry (DXA) scans and a smartphone app to provide detailed body composition and shape data. In a healthcare system that continues to rely on crude and stigmatizing measurements like body-mass index (BMI), their findings point to the potential of newer technologies to capture markers (i.e., visceral adiposity and fat distribution patterns) that provide clearer insights into metabolic health.
乔等人最近研究了双能X线吸收测定法(DXA)扫描和一款智能手机应用程序提供详细身体成分和体型数据的能力。在一个仍依赖体重指数(BMI)等粗略且带有污名化的测量方法的医疗体系中,他们的研究结果表明,新技术有潜力捕捉一些指标(即内脏脂肪过多和脂肪分布模式),这些指标能更清晰地洞察代谢健康状况。