A comparison of bioelectrical impedance analysis and air displacement plethysmography to assess body composition in children

Frontiers in Public Health

Public Health

Guimin Huang¹  Lijun Wu¹  Ting Zhang¹  Xianghui Xie¹  Zijun Liao¹  Dongqing Hou¹  Junting Liu¹  Fangfang Chen¹  Yiren Chen¹  Gongshu Liu²  Jing Wang² 

[1] Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China;Tianjin Women's and Children's Health Center, Tianjin, China;

关键词: bioelectrical impedance analysis;    air displacement plethysmography;    body composition;    obesity;    children;   

DOI  :  10.3389/fpubh.2023.1164556

 received in 2023-02-13, accepted in 2023-06-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundAccurate assessment of body composition (BC) is important to investigate the development of childhood obesity. A bioelectrical impedance analysis (BIA) device is portable and inexpensive compared with air displacement plethysmography (ADP) for the assessment of BC and is widely used in children. However, studies of the effectiveness of BIA are few and present different results, especially in pediatric populations. The aim of this study was to evaluate the agreement between BIA and ADP for estimating BC.MethodsThe BC of 981 Chinese children (3–5 years) was measured using the BIA device (SeeHigher BAS-H, China) and ADP (BOD POD).ResultsOur results showed that BIA underestimated fat mass (FM) and overestimated fat-free mass (FFM) in normal weight children (P < 0.05), but the opposite trend was shown in children with obesity (P < 0.05). The agreement between FM and FFM measured by the two methods was strong (CCC > 0.80). The linear regression equation of 5-year-old children was constructed.ConclusionThe SeeHigher BAS-H multi-frequency BIA device is a valid device to evaluate BC in Chinese preschool children compared with ADP (BOD POD), especially in 5-year-old children or children with obesity. Further research is needed to standardize the assessment of BC in children.

【 授权许可】

Unknown   
Copyright © 2023 Chen, Wu, Chen, Wang, Liu, Huang, Hou, Liao, Zhang, Xie and Liu.