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Assessing alternative strategies for measuring metabolic risk
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-12-18 , DOI: 10.1038/s41746-024-01376-2 Elizabeth J. Enichen, Kimia Heydari, Joseph C. Kvedar
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-12-18 , DOI: 10.1038/s41746-024-01376-2 Elizabeth J. Enichen, Kimia Heydari, Joseph C. Kvedar
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.
中文翻译:
评估测量代谢风险的替代策略
Qiao 等人最近研究了双能 X 射线吸收测定法 (DXA) 扫描和智能手机应用程序提供详细身体成分和形状数据的能力。在继续依赖体重指数 (BMI) 等粗略和污名化测量的医疗保健系统中,他们的研究结果表明,新技术有可能捕获标志物(即内脏肥胖和脂肪分布模式),从而更清楚地了解代谢健康。
更新日期:2024-12-18
中文翻译:
评估测量代谢风险的替代策略
Qiao 等人最近研究了双能 X 射线吸收测定法 (DXA) 扫描和智能手机应用程序提供详细身体成分和形状数据的能力。在继续依赖体重指数 (BMI) 等粗略和污名化测量的医疗保健系统中,他们的研究结果表明,新技术有可能捕获标志物(即内脏肥胖和脂肪分布模式),从而更清楚地了解代谢健康。