L-W Chen1, M-T Tint2, M V Fortier3, I M Aris4, L P-C Shek1, K H Tan5,6, V S Rajadurai7, P D Gluckman4,8, Y-S Chong2,4, K M Godfrey9, M S Kramer2,10, C J Henry11, F Yap6,12, Y S Lee1,4,13. 1. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. 2. Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. 3. Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore. 4. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore. 5. Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore. 6. Duke-National University of Singapore Graduate Medical School, Singapore. 7. Department of Neonatology, KK Women's and Children's Hospital, Singapore. 8. Liggins Institute, University of Auckland, New Zealand. 9. MRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, UK. 10. Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Canada. 11. Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore. 12. Department of Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore. 13. Khoo Teck Puat- National University Children's Medical Institute, National University Health System, Singapore.
Abstract
BACKGROUND: Quantitative magnetic resonance (QMR) has been increasingly used to measure human body composition, but its use and validation in children is limited. OBJECTIVE: We compared body composition measurement by QMR and air displacement plethysmography (ADP) in preschool children from Singapore's multi-ethnic Asian population (n = 152; mean ± SD age: 5.0 ± 0.1 years). METHODS: Agreements between QMR-based and ADP-based fat mass and fat mass index (FMI) were assessed using intraclass correlation coefficient (ICC), reduced major axis regression and Bland-Altman plot analyses. Analyses were stratified for the child's sex. RESULTS: Substantial agreement was observed between QMR-based and ADP-based fat mass (ICC: 0.85) and FMI (ICC: 0.82). Reduced major axis regression analysis suggested that QMR measurements were generally lower than ADP measurements. Bland-Altman analysis similarly revealed that QMR-based fat mass were (mean difference [95% limits of agreement]) -0.5 (-2.1 to +1.1) kg lower than ADP-based fat mass and QMR-based FMI were -0.4 (-1.8 to +0.9) kg/m2 lower than ADP-based FMI. Stratification by offspring sex revealed better agreement of QMR and ADP measurements in girls than in boys. CONCLUSIONS: QMR-based fat mass and FMI showed substantial agreement with, but was generally lower than, ADP-based measures in young Asian children.
BACKGROUND: Quantitative magnetic resonance (QMR) has been increasingly used to measure human body composition, but its use and validation in children is limited. OBJECTIVE: We compared body composition measurement by QMR and air displacement plethysmography (ADP) in preschool children from Singapore's multi-ethnic Asian population (n = 152; mean ± SD age: 5.0 ± 0.1 years). METHODS: Agreements between QMR-based and ADP-based fat mass and fat mass index (FMI) were assessed using intraclass correlation coefficient (ICC), reduced major axis regression and Bland-Altman plot analyses. Analyses were stratified for the child's sex. RESULTS: Substantial agreement was observed between QMR-based and ADP-based fat mass (ICC: 0.85) and FMI (ICC: 0.82). Reduced major axis regression analysis suggested that QMR measurements were generally lower than ADP measurements. Bland-Altman analysis similarly revealed that QMR-based fat mass were (mean difference [95% limits of agreement]) -0.5 (-2.1 to +1.1) kg lower than ADP-based fat mass and QMR-based FMI were -0.4 (-1.8 to +0.9) kg/m2 lower than ADP-based FMI. Stratification by offspring sex revealed better agreement of QMR and ADP measurements in girls than in boys. CONCLUSIONS:QMR-based fat mass and FMI showed substantial agreement with, but was generally lower than, ADP-based measures in young Asian children.
Authors: Zimian Wang; Stanley Heshka; Jack Wang; Lucian Wielopolski; Steven B Heymsfield Journal: Am J Physiol Endocrinol Metab Date: 2003-02 Impact factor: 4.310
Authors: Nawaf Yassi; Bruce C V Campbell; Bradford A Moffat; Christopher Steward; Leonid Churilov; Mark W Parsons; Patricia M Desmond; Stephen M Davis; Andrew Bivard Journal: Neuroradiology Date: 2015-04-08 Impact factor: 2.804
Authors: Tim Lobstein; Rachel Jackson-Leach; Marjory L Moodie; Kevin D Hall; Steven L Gortmaker; Boyd A Swinburn; W Philip T James; Youfa Wang; Klim McPherson Journal: Lancet Date: 2015-02-19 Impact factor: 79.321
Authors: Tuomo T Tompuri; Timo A Lakka; Mikko Hakulinen; Virpi Lindi; David E Laaksonen; Tuomas O Kilpeläinen; Jarmo Jääskeläinen; Hanna-Maaria Lakka; Tomi Laitinen Journal: Clin Physiol Funct Imaging Date: 2013-12-10 Impact factor: 2.273
Authors: A Javed; M Jumean; M H Murad; D Okorodudu; S Kumar; V K Somers; O Sochor; F Lopez-Jimenez Journal: Pediatr Obes Date: 2014-06-25 Impact factor: 4.000
Authors: Karen Mei-Ling Tan; Mya-Thway Tint; Narasimhan Kothandaraman; Fabian Yap; Keith M Godfrey; Yung Seng Lee; Kok Hian Tan; Peter D Gluckman; Yap-Seng Chong; Mary F F Chong; Johan G Eriksson; David Cameron-Smith Journal: Int J Obes (Lond) Date: 2022-02-16 Impact factor: 5.551
Authors: Yi Ying Ong; Wei Wei Pang; Jonathan Y Huang; Izzuddin M Aris; Suresh Anand Sadananthan; Mya-Thway Tint; Wen Lun Yuan; Ling-Wei Chen; Yiong Huak Chan; Neerja Karnani; S Sendhil Velan; Marielle V Fortier; Jonathan Choo; Lieng Hsi Ling; Lynette Shek; Kok Hian Tan; Peter D Gluckman; Fabian Yap; Yap-Seng Chong; Keith M Godfrey; Mary F-F Chong; Shiao-Yng Chan; Johan G Eriksson; Mary E Wlodek; Yung Seng Lee; Navin Michael Journal: Eur J Nutr Date: 2022-02-06 Impact factor: 4.865
Authors: Yi Ying Ong; Suresh Anand Sadananthan; Izzuddin M Aris; Mya Thway Tint; Wen Lun Yuan; Jonathan Y Huang; Yiong Huak Chan; Sharon Ng; See Ling Loy; Sendhil S Velan; Marielle V Fortier; Keith M Godfrey; Lynette Shek; Kok Hian Tan; Peter D Gluckman; Fabian Yap; Jonathan Tze Liang Choo; Lieng Hsi Ling; Karen Tan; Li Chen; Neerja Karnani; Yap-Seng Chong; Johan G Eriksson; Mary E Wlodek; Shiao-Yng Chan; Yung Seng Lee; Navin Michael Journal: Int J Epidemiol Date: 2020-10-01 Impact factor: 7.196
Authors: Wen Lun Yuan; Michael S Kramer; Navin Michael; Suresh A Sadananthan; Mya T Tint; Ling-Wei Chen; Wei Wei Pang; Sendhil S Velan; Keith M Godfrey; Yap-Seng Chong; Mary F F Chong; Jonathan T L Choo; Lieng Hsi Ling; Johan G Eriksson; Yung Seng Lee Journal: J Pediatr Date: 2021-05-18 Impact factor: 4.406
Authors: Yi Ying Ong; Jonathan Y Huang; Navin Michael; Suresh Anand Sadananthan; Wen Lun Yuan; Ling-Wei Chen; Neerja Karnani; S Sendhil Velan; Marielle V Fortier; Kok Hian Tan; Peter D Gluckman; Fabian Yap; Yap-Seng Chong; Keith M Godfrey; Mary F-F Chong; Shiao-Yng Chan; Yung Seng Lee; Mya-Thway Tint; Johan G Eriksson Journal: J Clin Endocrinol Metab Date: 2021-04-23 Impact factor: 5.958
Authors: Izzuddin M Aris; Ling-Wei Chen; Mya Thway Tint; Wei Wei Pang; Shu E Soh; Seang-Mei Saw; Lynette Pei-Chi Shek; Kok-Hian Tan; Peter D Gluckman; Yap-Seng Chong; Fabian Yap; Keith M Godfrey; Michael S Kramer; Yung Seng Lee Journal: Sci Rep Date: 2017-08-21 Impact factor: 4.379
Authors: Jonathan Yinhao Huang; Shirong Cai; Zhongwei Huang; Mya Thway Tint; Wen Lun Yuan; Izzuddin M Aris; Keith M Godfrey; Neerja Karnani; Yung Seng Lee; Jerry Kok Yen Chan; Yap Seng Chong; Johan Gunnar Eriksson; Shiao-Yng Chan Journal: Nat Commun Date: 2021-09-23 Impact factor: 14.919
Authors: Karen Mei-Ling Tan; Mya-Thway Tint; Narasimhan Kothandaraman; Navin Michael; Suresh Anand Sadananthan; S Sendhil Velan; Marielle V Fortier; Fabian Yap; Kok Hian Tan; Peter D Gluckman; Yap-Seng Chong; Mary F F Chong; Yung Seng Lee; Keith M Godfrey; Johan G Eriksson; David Cameron-Smith Journal: J Clin Endocrinol Metab Date: 2022-05-17 Impact factor: 6.134