School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio, USA.
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio, USA.
Nutrition. 2025 Jan;129:112601. doi: 10.1016/j.nut.2024.112601. Epub 2024 Oct 5.
Body composition assessments are essential for understanding health and nutritional status. Traditional methods like deuterium oxide dilution, while accurate, are impractical due to cost and complexity. Bioimpedance analysis (BIA) has emerged as a preferred clinical and research technique. BIA measures total body water and, by extension, fat mass and fat-free mass, based on constant hydration assumptions. Wearable BIA technology provides real-time body composition data, enhancing at-home monitoring. Although these devices show promise in measuring parameters like body fat percentage and skeletal muscle mass, accuracy discrepancies compared to methods like dual-energy X-ray absorptiometry and the 4-compartment model require further validation. Addressing user adherence and environmental limitations is essential for reliable results. This narrative review examines the current landscape of wearable BIA technology. Despite challenges, wearable BIA devices offer significant benefits, emphasizing ongoing innovation and validation.
人体成分评估对于了解健康和营养状况至关重要。传统方法如氘氧化稀释,虽然准确,但由于成本和复杂性而不切实际。生物阻抗分析(BIA)已成为一种首选的临床和研究技术。BIA 基于恒水假设测量总体水,从而推断体脂肪量和去脂体重。可穿戴 BIA 技术提供实时人体成分数据,增强了家庭监测能力。尽管这些设备在测量体脂肪百分比和骨骼肌量等参数方面显示出了潜力,但与双能 X 射线吸收法和四室模型等方法相比,准确性差异需要进一步验证。解决用户依从性和环境限制对于获得可靠结果至关重要。本综述探讨了可穿戴 BIA 技术的现状。尽管存在挑战,但可穿戴 BIA 设备具有显著的优势,强调了持续的创新和验证。