Differences in air displacement plethysmography, bioelectrical impedance analysis and dual-energy X-ray absorptiometry for estimating body composition in Chinese children and adolescents.

Chinese air displacement plethysmography bioelectrical impedance analysis body composition children and adolescents dual-energy X-ray absorptiometry

Journal

Journal of paediatrics and child health
ISSN: 1440-1754
Titre abrégé: J Paediatr Child Health
Pays: Australia
ID NLM: 9005421

Informations de publication

Date de publication:
03 2023
Historique:
revised: 08 12 2022
received: 09 11 2022
accepted: 23 12 2022
medline: 30 3 2023
pubmed: 21 1 2023
entrez: 20 1 2023
Statut: ppublish

Résumé

This study aimed to compare body composition (BC) measurements obtained by three widely used BC measuring methods, air displacement plethysmography (ADP), bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA), in Chinese children and adolescents by sex and different BMI categories. We used three BC measuring methods to evaluate healthy Chinese children and adolescents aged 5-17 years with BMI categories ranging from underweight to obese. Fat mass (FM, kg), fat mass percentage (FMP, %), fat-free mass (FFM, kg) and appendicular skeletal muscle mass (ASM, kg) were measured by DXA, BIA and ADP on the same day within 1 h. A total of 172 Chinese children and adolescents were included in this study. The agreements for FM, FFM and ASM estimated by the three methods were excellent or good at the population level (intraclass correlation coefficient > 0.850, P < 0.05). However, ADP or BIA estimated lower body fat content and higher FFM than DXA (P < 0.001 for all). Moreover, the precise estimates significantly varied across BMI categories. In addition, the limit of agreements was wide, and the differences might not be clinically acceptable at the individual level. Body fat and FFM obtained by the three commonly used methods were highly correlated, but systematically different and influenced by BMI. This study provided a basis for mutual reference of measurements between three widely used methods.

Identifiants

pubmed: 36661380
doi: 10.1111/jpc.16327
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

470-479

Subventions

Organisme : Beijing Municipal Administration of Hospitals' Youth Program
ID : QML20201204
Organisme : National Nature Science Foundation of China
ID : 81973110
Organisme : Public Service Development and Reform Pilot Project of Beijing Medical Research Institute
ID : BMR2019-11

Informations de copyright

© 2023 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).

Références

Blüher M. Obesity: Global epidemiology and pathogenesis. Nat. Rev. Endocrinol. 2019; 15: 288-98.
Pan XF, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol. 2021; 9: 373-92.
Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: A systematic review and meta-analysis. Obes. Rev. 2016; 17: 95-107.
Sanchis-Gomar F, Lavie CJ, Mehra MR, Henry BM, Lippi G. Obesity and outcomes in COVID-19: When an epidemic and pandemic collide. Mayo Clin. Proc. 2020; 95: 1445-53.
Semlitsch T, Stigler FL, Jeitler K, Horvath K, Siebenhofer A. Management of overweight and obesity in primary care - a systematic overview of international evidence-based guidelines. Obes. Rev. 2019; 20: 1218-30.
Valerio G, Maffeis C, Saggese G et al. Diagnosis, treatment and prevention of pediatric obesity: Consensus position statement of the Italian Society for Pediatric Endocrinology and Diabetology and the Italian Society of Pediatrics. Ital. J. Pediatr. 2018; 44: 88.
Styne DM, Arslanian SA, Connor EL et al. Pediatric obesity-assessment, treatment, and prevention: An Endocrine Society Clinical Practice Guideline. J. Clin. Endocrinol. Metab. 2017; 102: 709-57.
Heymsfield SB, Lohman TG, Wang Z, Going SB. Pediatric body composition methods. In: Human Body Composition. Champaign: Human Kinetics Publishers; 2005; 129-39.
Heyward VH, Wagner DR. Use of regression analysis in body composition. In: Applied Body Composition Assessment, 2nd edn. Champaign: Human Kinetics Publishers; 2004; 20.
Kyle UG, Earthman CP, Pichard C, Coss-Bu JA. Body composition during growth in children: Limitations and perspectives of bioelectrical impedance analysis. Eur. J. Clin. Nutr. 2015; 69: 1298-305.
Jebb SA. Measurement of soft tissue composition by dual energy X-ray absorptiometry. Br. J. Nutr. 1997; 77: 151-63.
Alves Junior CAS, de Lima LRA, de Souza MC, Silva DAS. Anthropometric measures associated with fat mass estimation in children and adolescents with HIV. Appl. Physiol. Nutr. Metab. 2019; 44: 493-8.
Thajer A, Skacel G, Truschner K et al. Comparison of bioelectrical impedance-based methods on body composition in young patients with obesity. Children 2021; 8: 295.
Kasvis P, Cohen TR, Loiselle S et al. Foot-to-foot bioelectrical impedance accurately tracks direction of adiposity change in overweight and obese 7- to 13-year-old children. Nutr. Res. 2015; 35: 206-13.
González-Ruíz K, Medrano M, Correa-Bautista JE et al. Comparison of bioelectrical impedance analysis, slaughter skinfold-thickness equations, and dual-energy X-ray absorptiometry for estimating body fat percentage in Colombian children and adolescents with excess of adiposity. Nutrients 2018; 10: 1086.
Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr. Obes. 2012; 7: 284-94.
Kriemler S, Puder J, Zahner L, Roth R, Braun-Fahrländer C, Bedogni G. Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children. Eur. J. Clin. Nutr. 2009; 63: 619-26.
McCrory MA, Gomez TD, Bernauer EM, Molé PA. Evaluation of a new air displacement plethysmograph for measuring human body composition. Med. Sci. Sports Exerc. 1995; 27: 1686-91.
Lohman TG, Hingle M, Going SB. Body composition in children. Pediatr. Exerc. Sci. 2013; 25: 573-90.
Lohman TG. Applicability of body composition techniques and constants for children and youths. Exerc. Sport Sci. Rev. 1986; 14: 325-57.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-10.
Bland JM, Altman DG. Comparing methods of measurement: Why plotting difference against standard method is misleading. Lancet 1995; 346: 1085-7.
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 2016; 15: 155-63.
Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 1999; 8: 135-60.
van Beijsterveldt IALP, Beunders VAA, Bijlsma A, Vermeulen MJ, Joosten KFM, Hokken-Koelega ACS. Body composition assessment by air-displacement plethysmography compared to dual-energy X-ray absorptiometry in full-term and preterm aged three to five years. J. Clin. Med. 2022; 11: 1604.
Colantonio E. Clinical performance of 3-body fat measurements in obese adolescents 15-to 18-years-old. Rev. Bras. Med. 2015; 72: 77-82.
Huang Y, Dong H, Cheng H et al. Differences in body composition measurements assessed by air displacement plethysmography and dual-energy X-ray absorptiometry in young and middle-aged adults. Clin. Nutr. ESPEN 2022; 50: 111-7.
Wang L, Hui SS. Validity of four commercial bioelectrical impedance scales in measuring body fat among Chinese children and adolescents. Biomed. Res. Int. 2015; 2015: 614858.
Cleary J, Daniells S, Okely AD, Batterham M, Nicholls J. Predictive validity of four bioelectrical impedance equations in determining percent fat mass in overweight and obese children. J. Am. Diet. Assoc. 2008; 108: 136-9.
Heymsfield SB, Lohman TG, Wang Z, Going SB. Bioelectrical impedance analysis. In: Human Body Composition. Champaign: Human Kinetics Publishers; 2005; 79-87.
Fomon SJ, Haschke F, Ziegler EE, Nelson SE. Body composition of reference children from birth to age 10 years. Am. J. Clin. Nutr. 1982; 35: 1169-75.
Koda M, Tsuzuku S, Ando F, Niino N, Shimokata H. Body composition by air displacement plethysmography in middle-aged and elderly Japanese. Comparison with dual-energy X-ray absorptiometry. Ann. N. Y. Acad. Sci. 2000; 904: 484-8.

Auteurs

Yiwen Huang (Y)

Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Xi Wang (X)

Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Hong Cheng (H)

Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China.

Hongbo Dong (H)

Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Xinying Shan (X)

Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China.

Xiaoyuan Zhao (X)

Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China.

Xia Wang (X)

Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Xianghui Xie (X)

Capital Institute of Pediatrics, Beijing, China.

Jie Mi (J)

Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH