Lai Chung-Liang, Lu Hsueh-Kuan, Huang Ai-Chun, Chu Lee-Ping, Chuang Hsiang-Yuan, Hsieh Kuen-Chang
Ministry of Health and Welfare, Department of Physical Medicine and Rehabilitation, Puzi Hospital, Chiayi, Taiwan.
Department of Occupational Therapy, Asia University, Taichung, Taiwan.
Front Nutr. 2022 Aug 10;9:952929. doi: 10.3389/fnut.2022.952929. eCollection 2022.
Abdominal subcutaneous fat tissue (ASFT) is an independent predictor of mortality. This prospective observational study aimed to establish a rapid, safe, and convenient estimation equation for abdominal subcutaneous fat area (SFA) using bioimpedance analysis (BIA) combined with sagittal abdominal diameter (SAD). A total of 520 adult subjects were recruited and were randomly divided into 2/3 ( = 346) and 1/3 ( = 174) to form a modeling group (MG) and a validation group (VG), respectively. Each subject's abdomen was scanned using computed tomography to obtain target variables (SFA). Predictor variables for all subjects included bioimpedance index (h/Z), anthropometric parameters height (h), weight (W), waist circumference (WC), hip circumference (HC), and SAD, along with age and sex (male =1, female = 0). SFA estimation equation SFA was established for the MG using stepwise multiple regression analysis. Cross-validation was performed using VG to evaluate the performance of the SFA estimation equation. Stepwise multiple regression analysis was applied from the MG, including SFA = 49.89 + 1.09 SAD-29.90 Sex + 4.71 W-3.63 h/Z-1.50 h ( = 0.92, = 28.10 cm, = 346, < 0.001). Mean differences in SFA relative to SFA were -1.21 ± 21.53, 2.85 ± 27.16, and -0.98 ± 36.6 cm at different levels of obesity (eutrophic, overweight, obese), respectively. This study did not have a large number of samples in different fields, so it did not have completely external validity. Application of BIA combined with SAD in anthropometric parameters achieves fast, accurate and convenient SAF measurement. Results of this study provide a simple, reliable, and practical measurement that can be widely used in epidemiological studies and in measuring individual SFA.
腹部皮下脂肪组织（ASFT）是死亡率的独立预测因素。这项前瞻性观察性研究旨在建立一种快速、安全且便捷的腹部皮下脂肪面积（SFA）估计方程，该方程使用生物电阻抗分析（BIA）结合腹部矢状径（SAD）。共招募了520名成年受试者，并将其随机分为2/3（n = 346）和1/3（n = 174），分别组成建模组（MG）和验证组（VG）。使用计算机断层扫描对每个受试者的腹部进行扫描以获取目标变量（SFA）。所有受试者的预测变量包括生物电阻抗指数（h/Z）、人体测量参数身高（h）、体重（W）、腰围（WC）、臀围（HC）和SAD，以及年龄和性别（男性=1，女性=0）。使用逐步多元回归分析为MG建立SFA估计方程SFA。使用VG进行交叉验证以评估SFA估计方程的性能。从MG应用逐步多元回归分析，包括SFA = 49.89 + 1.09 SAD - 29.90性别 + 4.71 W - 3.63 h/Z - 1.50 h（R = 0.92，R² = 28.10 cm²，n = 346，P < 0.001）。在不同肥胖水平（营养正常、超重、肥胖）下，SFA相对于SFA的平均差异分别为-1.21±21.53、2.85±27.16和-0.98±36.6 cm²。本研究在不同领域没有大量样本，因此没有完全的外部有效性。将BIA与SAD应用于人体测量参数可实现快速、准确且便捷的SAF测量。本研究结果提供了一种简单、可靠且实用的测量方法，可广泛应用于流行病学研究和个体SFA测量。
