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Cremaschi A, De Iorio M, Kothandaraman N, Yap F, Tint MT, Eriksson J. Joint modeling of association networks and longitudinal biomarkers: An application to childhood obesity. Stat Med 2024; 43:1135-1152. [PMID: 38197220 DOI: 10.1002/sim.9994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 11/30/2023] [Accepted: 12/02/2023] [Indexed: 01/11/2024]
Abstract
The prevalence of chronic non-communicable diseases such as obesity has noticeably increased in the last decade. The study of these diseases in early life is of paramount importance in determining their course in adult life and in supporting clinical interventions. Recently, attention has been drawn to approaches that study the alteration of metabolic pathways in obese children. In this work, we propose a novel joint modeling approach for the analysis of growth biomarkers and metabolite associations, to unveil metabolic pathways related to childhood obesity. Within a Bayesian framework, we flexibly model the temporal evolution of growth trajectories and metabolic associations through the specification of a joint nonparametric random effect distribution, with the main goal of clustering subjects, thus identifying risk sub-groups. Growth profiles as well as patterns of metabolic associations determine the clustering structure. Inclusion of risk factors is straightforward through the specification of a regression term. We demonstrate the proposed approach on data from the Growing Up in Singapore Towards healthy Outcomes cohort study, based in Singapore. Posterior inference is obtained via a tailored MCMC algorithm, involving a nonparametric prior with mixed support. Our analysis has identified potential key pathways in obese children that allow for the exploration of possible molecular mechanisms associated with childhood obesity.
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Affiliation(s)
| | - Maria De Iorio
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Statistical Science, University College London, London, UK
| | | | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Johan Eriksson
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Chen LW, Ng S, Tint MT, Michael N, Sadananthan SA, Ong YY, Yuan WL, Chen ZY, Chen CY, Godfrey KM, Tan KH, Gluckman PD, Chong YS, Eriksson JG, Yap F, Lee YS, Fortier MV, Velan SS, Chan SY. Associations of cord plasma per- and polyfluoroakyl substances (PFAS) with neonatal and child body composition and adiposity: The GUSTO study. ENVIRONMENT INTERNATIONAL 2024; 183:108340. [PMID: 38043321 DOI: 10.1016/j.envint.2023.108340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/26/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND The influence of prenatal exposure to per- and poly- fluoroalkyl substances (PFAS) on birth size and offspring adiposity is unclear, especially for the newer, shorter-chained replacement PFAS. METHODS In the GUSTO multi-ethnic Singaporean mother-offspring cohort, 12 PFAS were measured in 783 cord plasma samples using ultra-performance-liquid chromatography-tandem-mass-spectrometer (UPLC-MS/MS). Outcomes included offspring anthropometry, other indicators of body composition/metabolic health, and MRI-derived abdominal adiposity (subset) at birth and 6 years of age. PFAS were modeled individually, in categories of long-chain and short-chain PFAS, and as scores of three principal components (PC) derived using PC analysis (PC1, PC2, and PC3 reflect predominant exposure patterns to "very-long-PFAS", "long-PFAS", and "short-PFAS", respectively). Associations with outcomes were assessed using multivariable linear regressions, adjusted for important covariates such as maternal sociodemographic and lifestyle factors. RESULTS Overall, cord PFAS levels showed either no or positive associations (mostly for long-chain PFAS) with birth weight, length and head circumference. In general, PFAS were associated with higher neonatal abdominal adiposity, driven by shorter-chain PFAS. Perfluoroheptanoic acid (PFHpA) was associated with higher volumes of superficial subcutaneous adipose tissue (sSAT) (3.75 [1.13, 6.37] mL per SD increase in PFAS) and internal adipose tissue (IAT) (1.39 [0.41, 2.38] mL). Higher levels of perfluorobutanesulfonic acid (PFBS), short-chain PFAS, and PC3 were associated with higher IAT volume (β range 1.22-1.41 mL/SD, all P < 0.02), especially in girls. Higher PC3 score was additionally associated with higher sSAT (3.12 [0.45, 5.80] mL) volume. At age 6 years, most observed associations did not persist. No consistent associations were observed between PFAS and whole-body adiposity measures. CONCLUSIONS Fetal exposure to emerging short-chain PFAS was associated with higher abdominal adiposity at birth but not at age 6 years. Further research is needed to replicate the findings and to determine if these effects may reappear beyond early childhood. Population exposure to newer PFAS and consequent health impact must be monitored.
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Affiliation(s)
- Ling-Wei Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei 10055, Taiwan; Master of Public Health Program, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei 10055, Taiwan; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Sharon Ng
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, 119228, Singapore; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wen Lun Yuan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France
| | - Ze-Ying Chen
- Institute of Food Safety and Health, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei 10055, Taiwan
| | - Chia-Yang Chen
- Institute of Food Safety and Health, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei 10055, Taiwan
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Tremona Road, SO16 6YD Southampton, UK
| | - Kok Hian Tan
- Duke-NUS Medical School, 8 College Road, 169857, Singapore; Department of Reproductive Medicine, KK Women's and Children Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Liggins Institute, University of Auckland, 85 Park Rd, Grafton, Auckland 1023, New Zealand
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, 119228, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, 119228, Singapore; Department of General Practice and Primary Health Care, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland; Folkhälsan Research Center, Topeliusgatan 20, 00250 Helsinki, Finland
| | - Fabian Yap
- Duke-NUS Medical School, 8 College Road, 169857, Singapore; Department of Pediatric Endocrinology, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, 119228, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Health System, 1E Kent Ridge Road, 119228, Singapore
| | - Marielle V Fortier
- Department of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore
| | - Sendhil S Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, 119228, Singapore.
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Lyons-Reid J, Ward LC, Derraik JGB, Thway-Tint M, Monnard CR, Ramos Nieves JM, Albert BB, Kenealy T, Godfrey KM, Chan SY, Cutfield WS. Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy. Eur J Clin Nutr 2023:10.1038/s41430-023-01317-4. [PMID: 37524804 PMCID: PMC7616480 DOI: 10.1038/s41430-023-01317-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Bioimpedance devices are practical for measuring body composition in preschool children, but their application is limited by the lack of validated equations. OBJECTIVES To develop and validate fat-free mass (FFM) bioimpedance prediction equations among New Zealand 3.5-year olds, with dual-energy X-ray absorptiometry (DXA) as the reference method. METHODS Bioelectrical impedance spectroscopy (SFB7, ImpediMed) and DXA (iDXA, GE Lunar) measurements were conducted on 65 children. An equation incorporating weight, sex, ethnicity, and impedance was developed and validated. Performance was compared with published equations and mixture theory prediction. RESULTS The equation developed in ~70% (n = 45) of the population (FFM [kg] = 1.39 + 0.30 weight [kg] + 0.39 length2/resistance at 50 kHz [cm2/Ω] + 0.30 sex [M = 1/F = 0] + 0.28 ethnicity [1 = Asian/0 = non-Asian]) explained 88% of the variance in FFM and predicted FFM with a root mean squared error of 0.39 kg (3.4% of mean FFM). When internally validated (n = 20), bias was small (40 g, 0.3% of mean FFM), with limits of agreement (LOA) ±7.6% of mean FFM (95% LOA: -0.82, 0.90 kg). Published equations evaluated had similar LOA, but with marked bias (>12.5% of mean FFM) when validated in our cohort, likely due to DXA differences. Of mixture theory methods assessed, the SFB7 inbuilt equation with personalized body geometry values performed best. However, bias and LOA were larger than with the empirical equations (-0.43 kg [95% LOA: -1.65, 0.79], p < 0.001). CONCLUSIONS We developed and validated a bioimpedance equation that can accurately predict FFM. Further external validation of the equation is required.
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Affiliation(s)
- Jaz Lyons-Reid
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Leigh C Ward
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia
| | - José G B Derraik
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand
- Environmental-Occupational Health Sciences and Non-communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Mya Thway-Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cathriona R Monnard
- Nestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland
| | - J Manuel Ramos Nieves
- Nestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland
| | | | - Timothy Kenealy
- Liggins Institute, University of Auckland, Auckland, New Zealand
- Department of Medicine and Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics & Gynaecology, National University of Singapore, Singapore, Singapore
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand.
- A Better Start - National Science Challenge, University of Auckland, Auckland, New Zealand.
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Ong YY, Pang WW, Huang JY, Aris IM, Sadananthan SA, Tint MT, Yuan WL, Chen LW, Chan YH, Karnani N, Velan SS, Fortier MV, Choo J, Ling LH, Shek L, Tan KH, Gluckman PD, Yap F, Chong YS, Godfrey KM, Chong MFF, Chan SY, Eriksson JG, Wlodek ME, Lee YS, Michael N. Breastfeeding may benefit cardiometabolic health of children exposed to increased gestational glycemia in utero. Eur J Nutr 2022; 61:2383-2395. [PMID: 35124728 PMCID: PMC7613060 DOI: 10.1007/s00394-022-02800-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 01/06/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE There is altered breastmilk composition among mothers with gestational diabetes and conflicting evidence on whether breastfeeding is beneficial or detrimental to their offspring's cardiometabolic health. We aimed to investigate associations between breastfeeding and offspring's cardiometabolic health across the range of gestational glycemia. METHODS We included 827 naturally conceived, term singletons from a prospective mother-child cohort. We measured gestational (26-28 weeks) fasting plasma glucose (FPG) and 2-h plasma glucose (2 hPG) after an oral glucose tolerance test as continuous variables. Participants were classified into 2 breastfeeding categories (high/intermediate vs. low) according to their breastfeeding duration and exclusivity. Main outcome measures included magnetic resonance imaging (MRI)-measured abdominal fat, intramyocellular lipids (IMCL), and liver fat, quantitative magnetic resonance (QMR)-measured body fat mass, blood pressure, blood lipids, and insulin resistance at 6 years old (all continuous variables). We evaluated if gestational glycemia (FPG and 2 hPG) modified the association of breastfeeding with offspring outcomes after adjusting for confounders using a multiple linear regression model that included a 'gestational glycemia × breastfeeding' interaction term. RESULTS With increasing gestational FPG, high/intermediate (vs. low) breastfeeding was associated with lower levels of IMCL (p-interaction = 0.047), liver fat (p-interaction = 0.033), and triglycerides (p-interaction = 0.007), after adjusting for confounders. Specifically, at 2 standard deviations above the mean gestational FPG level, high/intermediate (vs. low) breastfeeding was linked to lower adjusted mean IMCL [0.39% of water signal (0.29, 0.50) vs. 0.54% of water signal (0.46, 0.62)], liver fat [0.39% by weight (0.20, 0.58) vs. 0.72% by weight (0.59, 0.85)], and triglycerides [0.62 mmol/L (0.51, 0.72) vs. 0.86 mmol/L (0.75, 0.97)]. 2 hPG did not significantly modify the association between breastfeeding and childhood cardiometabolic risk. CONCLUSION Our findings suggest breastfeeding may confer protection against adverse fat partitioning and higher triglyceride concentration among children exposed to increased glycemia in utero.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Huang
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Suresh Anand Sadananthan
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Mya-Thway Tint
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ling-Wei Chen
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Neerja Karnani
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - S Sendhil Velan
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Singapore Bioimaging Consortium, Agency for Science Technology and Research, Singapore, Singapore
| | - Marielle V Fortier
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jonathan Choo
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Lynette Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mary F-F Chong
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Mary E Wlodek
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of Physiology, University of Melbourne, Melbourne, Australia
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore.
- Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore.
| | - Navin Michael
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore.
- , 1E Kent Ridge Road, NUHS Tower Block Level 12, Singapore, 119228, Singapore.
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Chen F, Wang J, Liu J, Huang G, Hou D, Liao Z, Zhang T, Liu G, Xie X, Tai J. Characteristics of Body Composition Estimated by Air-Displacement Plethysmography in Chinese Preschool Children. Front Public Health 2022; 10:926819. [PMID: 35719642 PMCID: PMC9204163 DOI: 10.3389/fpubh.2022.926819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo describe the characteristics of body composition by air-displacement plethysmography (ADP) among Chinese preschool children.MethodsPreschool children were recruited from three kindergartens. Adiposity indices were evaluated using the ADP method. BMI, fat mass index (FMI), fat-free mass index (FFMI) and waist-to-height ratio (WHtR) were calculated. Overweight and obesity were diagnosed using the WHO reference. Analyses were executed by SPSS and MedCalc software. Smoothed curves were constructed using the lambda-mu-sigma (LMS) method.ResultsThis study evaluated the growth trend for body composition of ADP-based body fat indices based on a relatively large sample of preschool children, the first ever reported in China. A total of 1,011 children aged 3–5 years comprised our study population. BMI and FFMI increased with age, but the slope (P = 0.710) and y intercept (P = 0.132) in the BMI trend analysis demonstrated no differences between boys and girls. For the FFMI trend lines, the slope was significantly higher for boys than for girls (P = 0.013). The percentage of fat mass (FM%), FMI, and WHtR were negatively correlated with age for both sexes, except for FMI in girls (P = 0.094). The 95% CI regression lines for FM% according to different weight statuses intersected.ConclusionsADP is applicable to estimating body composition among Chinese preschool children. Misclassifications might occur when overweight/obese status is defined based on surrogate indices.
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Affiliation(s)
- Fangfang Chen
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
- *Correspondence: Fangfang Chen
| | - Jing Wang
- Research Project Group, Tianjin Women's and Children's Health Center, Tianjin, China
| | - Junting Liu
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Guimin Huang
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Dongqing Hou
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Zijun Liao
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Ting Zhang
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
| | - Gongshu Liu
- Research Project Group, Tianjin Women's and Children's Health Center, Tianjin, China
| | - Xianghui Xie
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
- Xianghui Xie
| | - Jun Tai
- Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China
- Jun Tai
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6
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Tan KML, Tint MT, Kothandaraman N, Yap F, Godfrey KM, Lee YS, Tan KH, Gluckman PD, Chong YS, Chong MFF, Eriksson JG, Cameron-Smith D. Association of plasma kynurenine pathway metabolite concentrations with metabolic health risk in prepubertal Asian children. Int J Obes (Lond) 2022; 46:1128-1137. [PMID: 35173282 PMCID: PMC7612806 DOI: 10.1038/s41366-022-01085-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/26/2022] [Accepted: 01/28/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND The tryptophan-kynurenine (KYN) pathway is linked to obesity-related systemic inflammation and metabolic health. The pathway generates multiple metabolites, with little available data on their relationships to early markers of increased metabolic disease risk in children. The aim of this study was to examine the association of multiple KYN pathway metabolites with metabolic risk markers in prepubertal Asian children. METHODS Fasting plasma concentrations of KYN pathway metabolites were measured using liquid chromatography-tandem mass spectrometry in 8-year-old children (n = 552) from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective mother-offspring cohort study. The child's weight and height were used to ascertain overweight and obesity using local body mass index (BMI)-for-age percentile charts. Body fat percentage was measured by quantitative magnetic resonance. Abdominal circumference, systolic and diastolic blood pressure, homeostatic model assessment for insulin resistance (HOMA-IR), triglyceride, and HDL-cholesterol were used for the calculation of Metabolic syndrome scores (MetS). Serum triglyceride, BMI, gamma-glutamyl transferase (GGT), and abdominal circumference were used in the calculation of the Fatty liver index (FLI). Associations were examined using multivariable regression analyses. RESULTS In overweight or obese children (n = 93; 16.9% of the cohort), all KYN pathway metabolites were significantly increased, relative to normal weight children. KYN, kynurenic acid (KA), xanthurenic acid (XA), hydroxyanthranilic acid (HAA) and quinolinic acid (QA) all showed significant positive associations with body fat percentage (B(95% CI) = 0.32 (0.22,0.42) for QA), HOMA-IR (B(95% CI) = 0.25 (0.16,0.34) for QA), and systolic blood pressure (B(95% CI) = 0.14(0.06,0.22) for QA). All KYN metabolites except 3-hydroxykynurenine (HK) significantly correlated with MetS (B (95% CI) = 0.29 (0.21,0.37) for QA), and FLI (B (95% CI) = 0.30 (0.21,0.39) for QA). CONCLUSIONS Higher plasma concentrations of KYN pathway metabolites are associated with obesity and with increased risk for metabolic syndrome and fatty liver in prepubertal Asian children.
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Affiliation(s)
- Karen Mei-Ling Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, Singapore, Singapore
| | - Narasimhan Kothandaraman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore
- Department of Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University of Southampton Hospital, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat - National University Children's Medical Institute (KTPCMI), National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore
- Perinatal Audit and Epidemiology, Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, Singapore, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, Singapore, Singapore
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - David Cameron-Smith
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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7
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Tan KML, Tint MT, Kothandaraman N, Michael N, Sadananthan SA, Velan SS, Fortier MV, Yap F, Tan KH, Gluckman PD, Chong YS, Chong MFF, Lee YS, Godfrey KM, Eriksson JG, Cameron-Smith D. The Kynurenine Pathway Metabolites in Cord Blood Positively Correlate With Early Childhood Adiposity. J Clin Endocrinol Metab 2022; 107:e2464-e2473. [PMID: 35150259 PMCID: PMC9113811 DOI: 10.1210/clinem/dgac078] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT The kynurenine pathway generates metabolites integral to energy metabolism, neurotransmission, and immune function. Circulating kynurenine metabolites positively correlate with adiposity in children and adults, yet it is not known whether this relationship is present already at birth. OBJECTIVE In this prospective longitudinal study, we investigate the relationship between cord blood kynurenine metabolites and measures of adiposity from birth to 4.5 years. METHODS Liquid chromatography-tandem mass spectrometry was used to quantify cord blood kynurenine metabolites in 812 neonates from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study. Fat percentage was measured by air displacement plethysmography and abdominal adipose tissue compartment volumes; superficial (sSAT) and deep subcutaneous (dSAT) and internal adipose tissue were quantified by magnetic resonance imaging at early infancy in a smaller subset of neonates, and again at 4 to 4.5 years of age. RESULTS Cord blood kynurenine metabolites appeared to be higher in female newborns, higher in Indian newborns compared with Chinese newborns, and higher in infants born by cesarean section compared with vaginal delivery. Kynurenine, xanthurenic acid, and quinolinic acid were positively associated with birthweight, but not with subsequent weight during infancy and childhood. Quinolinic acid was positively associated with sSAT at birth. Kynurenic acid and quinolinic acid were positively associated with fat percentage at 4 years. CONCLUSION Several cord blood kynurenine metabolite concentrations were positively associated with birthweight, with higher kynurenic acid and quinolinic acid correlating to higher percentage body fat in childhood, suggesting these cord blood metabolites as biomarkers of early childhood adiposity.
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Affiliation(s)
- Karen Mei-Ling Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Laboratory Medicine, National University Hospital, 119074, Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Obstetrics and Gynaecology, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, 119228, Singapore
| | - Narasimhan Kothandaraman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Institute of Bioengineering and Bioimaging (IBB), Agency for Science Technology and Research, 138669, Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, 229899, Singapore
| | - Fabian Yap
- Duke-National University of Singapore (NUS) Medical School, 169857, Singapore
- Department of Pediatric Endocrinology, KK Women’s and Children’s Hospital, 229899, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore
| | - Kok Hian Tan
- Duke-National University of Singapore (NUS) Medical School, 169857, Singapore
- Perinatal Audit and Epidemiology, Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, 119228, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Obstetrics and Gynaecology, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, 119228, Singapore
- Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, 117597, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 117549, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore
- Khoo Teck Puat – National University Children’s Medical Institute, National University Health System, 119074, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton Hospital, Southampton SO16 6YD, United Kingdom
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Obstetrics and Gynaecology, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine (YLLSOM), National University of Singapore, 119228, Singapore
- Folkhälsan Research Center, 00250 Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, 00290 Helsinki, Finland
| | - David Cameron-Smith
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 117609, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 117596, Singapore
- Correspondence: Professor David Cameron Smith, Singapore Institute for Clinical Sciences, Brenner Centre for Molecular Medicine, Agency for Science, Technology and Research, 30 Medical Drive 117609, Singapore.
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8
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Huang JY, Cai S, Huang Z, Tint MT, Yuan WL, Aris IM, Godfrey KM, Karnani N, Lee YS, Chan JKY, Chong YS, Eriksson JG, Chan SY. Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach. Nat Commun 2021; 12:5613. [PMID: 34556649 PMCID: PMC8460697 DOI: 10.1038/s41467-021-25899-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 08/06/2021] [Indexed: 11/08/2022] Open
Abstract
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a prospective cohort (Growing Up in Singapore Towards healthy Outcomes; GUSTO; Clinical Trials ID: NCT01174875) including 83 ART-conceived and 1095 spontaneously-conceived singletons, we estimate effects of ART on anthropometry, blood pressure, serum metabolic biomarkers, and cord tissue DNA methylation by emulating a pragmatic trial supported by machine learning-based estimators. We find ART-conceived children to be shorter (-0.5 SD [95% CI: -0.7, -0.2]), lighter (-0.6 SD [-0.9, -0.3]) and have lower skinfold thicknesses (e.g. -14% [-24%, -3%] suprailiac), and blood pressure (-3 mmHg [-6, -0.5] systolic) at 6-6.5 years, with no strong differences in metabolic biomarkers. Differences are not explained by parental anthropometry or comorbidities, polygenic risk score, breastfeeding, or illnesses. Our simulations demonstrate ART is strongly associated with lower NECAB3 DNA methylation, with negative control analyses suggesting these estimates are unbiased. However, methylation changes do not appear to mediate observed differences in child phenotype.
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Affiliation(s)
- Jonathan Yinhao Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore.
| | - Shirong Cai
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhongwei Huang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wen Lun Yuan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Université de Paris, CRESS, Inserm, Paris, France
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton, Southampton, UK
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Kok Yen Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- University of Helsinki, Department of General Practise and Primary Health Care, Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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9
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Yuan WL, Kramer MS, Michael N, Sadananthan SA, Tint MT, Chen LW, Pang WW, Velan SS, Godfrey KM, Chong YS, Chong MFF, Choo JTL, Ling LH, Eriksson JG, Lee YS. Trajectories of Systolic Blood Pressure in Children: Risk Factors and Cardiometabolic Correlates. J Pediatr 2021; 236:86-94.e6. [PMID: 34019883 PMCID: PMC7611585 DOI: 10.1016/j.jpeds.2021.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/10/2021] [Accepted: 05/11/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To identify systolic blood pressure (SBP) percentile trajectories in children and to describe the early-life risk factors and cardiometabolic correlates of those trajectories. STUDY DESIGN Using age-, sex-, and height-specific SBP percentiles based on the American Academy of Pediatrics reference, we examined SBP trajectories using latent class mixed models from ages 3 to 8 years (n = 844) from the Growing Up in Singapore Towards healthy Outcomes-study, a Singaporean mother-offspring cohort study. We analyzed associations between SBP trajectories and early-life risk factors using multinomial logistic regression and differences across trajectories in cardiometabolic outcomes using multiple linear regression. RESULTS Children were classified into 1 of 4 SBP percentile trajectories: "low increasing" (15%), "high stable" (47%), "high decreasing" (20%), and "low stable" (18%). Maternal hypertension during early pregnancy was a predictor of the "high stable" and "low increasing" SBP trajectories. Rapid child weight gain in the first 2 years of life was only associated with the "high stable" trajectory. Compared with children in the "low stable" trajectory, children in the "high stable" SBP trajectory had greater body mass index z scores, sum of skinfold thicknesses, waist circumference from ages 3 to 8 years, and abdominal adipose tissue (milliliters) at 4.5 years (adjusted mean difference [95% CI]: superficial and deep subcutaneous abdominal adipose tissue: 115.2 [48.1-182.3] and 85.5 [35.2-135.8]). Their fat mass (kilograms) (1.3 [0.6-2.0]), triglyceride levels (mmol/L) (0.10 [0.02-0.18]), and homeostasis model assessment of insulin resistance (0.28 [0.11 0.46]) at age 6 years were also greater but not their arterial thickness and stiffness. CONCLUSIONS Reducing maternal blood pressure during pregnancy and infant weight gain in the first 2 years of life might help to prevent the development of high SBP.
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Affiliation(s)
- Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Michael S Kramer
- Department of Paediatrics, Faculty of Medicine, McGill University, Montreal, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Suresh A Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Mya T Tint
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Ling-Wei Chen
- HRB Centre for Health and Diet Research, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Dublin, Ireland
| | - Wei Wei Pang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sendhil S Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Yap-Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Mary FF Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Lieng Hsi Ling
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
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10
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Ong YY, Huang JY, Michael N, Sadananthan SA, Yuan WL, Chen LW, Karnani N, Velan SS, Fortier MV, Tan KH, Gluckman PD, Yap F, Chong YS, Godfrey KM, Chong MFF, Chan SY, Lee YS, Tint MT, Eriksson JG. Cardiometabolic Profile of Different Body Composition Phenotypes in Children. J Clin Endocrinol Metab 2021; 106:e2015-e2024. [PMID: 33524127 PMCID: PMC7610678 DOI: 10.1210/clinem/dgab003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Indexed: 12/11/2022]
Abstract
CONTEXT Cardiometabolic profiles of different body composition phenotypes are poorly characterized in young children, where it is well established that high adiposity is unfavorable, but the role of lean mass is unclear. OBJECTIVE We hypothesized that higher lean mass attenuates cardiometabolic risk in children with high fat mass. METHODS In 6-year-old children (n = 377) from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective birth cohort, whole-body composition was measured by quantitative magnetic resonance, a novel validated technology. Based on fat mass index (FMI) and lean mass index (LMI), 4 body composition phenotypes were derived: low FMI-low LMI (LF-LL), low FMI-high LMI (LF-HL), high FMI-low LMI (HF-LL), high FMI-high LMI (HF-HL). MAIN OUTCOME MEASURES Body mass index (BMI) z-score, fasting plasma glucose, insulin resistance, metabolic syndrome risk score, fatty liver index, and blood pressure. RESULTS Compared with the LF-HL group, children in both high FMI groups had increased BMI z-score (HF-HL: 1.43 units 95% CI [1.11,1.76]; HF-LL: 0.61 units [0.25,0.96]) and metabolic syndrome risk score (HF-HL: 1.64 [0.77,2.50]; HF-LL: 1.28 [0.34,2.21]). The HF-HL group also had increased fatty liver index (1.15 [0.54,1.77]). Girls in HF-HL group had lower fasting plasma glucose (-0.29 mmol/L [-0.55,-0.04]) and diastolic blood pressure (-3.22 mmHg [-6.03,-0.41]) than girls in the HF-LL group. No similar associations were observed in boys. CONCLUSION In a multi-ethnic Asian cohort, lean mass seemed to protect against some cardiometabolic risk markers linked with adiposity, but only in girls. The FMI seemed more important than lean mass index in relation to cardiometabolic profiles of young children.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y. Huang
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ling-Wei Chen
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
| | - S. Sendhil Velan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Singapore Bioimaging Consortium, Agency for Science Technology and Research, Singapore, Singapore
| | - Marielle V. Fortier
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Peter D. Gluckman
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, Singapore
- Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mary F-F. Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, National University Health System, Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G. Eriksson
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
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11
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Ong YY, Sadananthan SA, Aris IM, Tint MT, Yuan WL, Huang JY, Chan YH, Ng S, Loy SL, Velan SS, Fortier MV, Godfrey KM, Shek L, Tan KH, Gluckman PD, Yap F, Choo JTL, Ling LH, Tan K, Chen L, Karnani N, Chong YS, Eriksson JG, Wlodek ME, Chan SY, Lee YS, Michael N. Mismatch between poor fetal growth and rapid postnatal weight gain in the first 2 years of life is associated with higher blood pressure and insulin resistance without increased adiposity in childhood: the GUSTO cohort study. Int J Epidemiol 2020; 49:1591-1603. [PMID: 32851407 PMCID: PMC7116531 DOI: 10.1093/ije/dyaa143] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Using longitudinal ultrasounds as an improved fetal growth marker, we aimed to investigate if fetal growth deceleration followed by rapid postnatal weight gain is associated with childhood cardiometabolic risk biomarkers in a contemporary well-nourished population. METHODS We defined fetal growth deceleration (FGD) as ultrasound-measured 2nd-3rd-trimester abdominal circumference decrease by ≥0.67 standard deviation score (SDS) and rapid postnatal weight gain (RPWG) as 0-2-year-old weight increase by ≥0.67 SDS. In the GUSTO mother-offspring cohort, we grouped 797 children into four groups of FGD-only (14.2%), RPWG-only (23.3%), both (mismatch, 10.7%) or neither (reference, 51.8%). Adjusting for confounders and comparing with the reference group, we tested associations of these growth groups with childhood cardiometabolic biomarkers: magnetic resonance imaging (MRI)-measured abdominal fat (n = 262), liver fat (n = 216), intramyocellular lipids (n = 227), quantitative magnetic resonance-measured overall body fat % (BF%) (n = 310), homeostasis model assessment of insulin resistance (HOMA-IR) (n = 323), arterial wall thickness (n = 422) and stiffness (n = 443), and blood pressure trajectories (ages 3-6 years). RESULTS Mean±SD birthweights were: FGD-only (3.11 ± 0.38 kg), RPWG-only (3.03 ± 0.37 kg), mismatch (2.87 ± 0.31 kg), reference (3.30 ± 0.36 kg). FGD-only children had elevated blood pressure trajectories without correspondingly increased BF%. RPWG-only children had altered body fat partitioning, higher BF% [BF = 4.26%, 95% confidence interval (CI) (2.34, 6.19)], HOMA-IR 0.28 units (0.11, 0.45)] and elevated blood pressure trajectories. Mismatch children did not have increased adiposity, but had elevated ectopic fat, elevated HOMA-IR [0.29 units (0.04,0.55)] and the highest blood pressure trajectories. Associations remained even after excluding small-for-gestational-age infants from analyses. CONCLUSIONS Fetal growth deceleration coupled with rapid postnatal weight gain was associated with elevated childhood cardiometabolic risk biomarkers without correspondingly increased BF%.
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Affiliation(s)
- Yi Ying Ong
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wen Lun Yuan
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Huang
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sharon Ng
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - See Ling Loy
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Sendhil S Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Singapore Bioimaging Consortium, Agency for Science Technology and Research, Singapore, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lynette Shek
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, Singapore
- Department of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | | | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Karen Tan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Molecular Diagnosis Centre, Department of Laboratory Medicine, National University Health System, Singapore, Singapore
| | - Li Chen
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mary E Wlodek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Physiology, University of Melbourne, Melbourne, VIC, Australia
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yung Seng Lee
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
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12
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Simoni P, Guglielmi R, Aparisi Gómez MP. Imaging of body composition in children. Quant Imaging Med Surg 2020; 10:1661-1671. [PMID: 32742959 DOI: 10.21037/qims.2020.04.06] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Overweight and obesity in children and adolescents have become a worldwide public health concern with an ever-increasing prevalence. An excessive accumulation of intraabdominal fat tissue increases the risk of developing insulin resistance, diabetes, and cardiovascular diseases in adulthood. Body composition has a role in metabolism regulation in children and adolescents with differences between genders and age groups. Until recently, Air Displacement Plethysmography and Dual-energy X-ray Absorptiometry (DXA) have been the most common techniques used to assess body composition in children. Ultrasound (US) is an accurate, readily available, and radiation-free technique to quantify intra-abdominal fat in adults, but its use in children has not yet been validated. Computed tomography (CT) is a reliable tool to assess body composition, but its use in children should be avoided due to the significant radiation burden. Quantitative Magnetic Resonance Imaging (qMRI) provides an accurate measurement of body composition, through the quantification of the visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and brown adipose tissue (BAT), as well as lean mass. Furthermore, qMRI provides other significant estimates such as the Proton Density Fat-Fraction of the fat tissue. This review article aims to briefly describe the state of art of the advanced imaging techniques to provide a quantitative assessment of body composition in children and adolescents.
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Affiliation(s)
- Paolo Simoni
- Pediatric Imaging, Diagnostic Imaging Department, Queen Fabiola Children's University Hospital, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Riccardo Guglielmi
- Department of Radiology, St Gallen University Hospital, Kantonal Hospital Müsterlingen, Münsterlingen, Switzerland
| | - Maria Pilar Aparisi Gómez
- Department of Radiology, Auckland City Hospital, Auckland, New Zealand.,Department of Radiology, Hospital Vithas Nueve de Octubre, Valencia, Spain
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13
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Heard-Lipsmeyer ME, Hull H, Sims CR, Cleves MA, Andres A. Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP. Pediatr Obes 2020; 15:e12617. [PMID: 31986239 PMCID: PMC7323309 DOI: 10.1111/ijpo.12617] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 12/11/2019] [Accepted: 01/02/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Accurate and precise methods to measure of body composition in infancy and childhood are needed. OBJECTIVES This study evaluated differences and precision of three methods when compared with the four-compartment (4C) model for estimating fat mass (FM). METHODS FM of children (age 14 days to 6 years of age, N = 346) was obtained using quantitative nuclear magnetic resonance (QMR, EchoMRI-AH), air-displacement plethysmography (ADP, PeaPod, less than or equal to 8 kg, BodPod age 6 years or older), and dual-energy X-ray absorptiometry (DXA, Hologic QDR). The 4C model was computed. Correlation, concordance, and Bland-Altman analyses were performed. RESULTS In infants, PeaPod had high individual FM accuracy, whereas DXA had high group FM accuracy compared with 4C. In children, DXA had high group and individual FM accuracies compared with 4C. QMR underestimated group FM in infants and children (300 and 510 g, respectively). The instrument FM precision was best for QMR (10 g) followed by BodPod (34 g), PeaPod (38 g), and DXA (45 g). CONCLUSIONS In infants, PeaPod was the best method to estimate individual FM whereas DXA was best to estimate group FM. In children, DXA was best to estimate individual and group FM. QMR had the highest instrument precision.
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Affiliation(s)
- Melissa E. Heard-Lipsmeyer
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas,Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas,Division of Cell Biology and Physiology, Edward Via College of Osteopathic Medicine-Louisiana Campus, Monroe, Louisiana
| | - Holly Hull
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, Kansas
| | - Clark R. Sims
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Mario A. Cleves
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Aline Andres
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas,Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas
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14
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Aris IM, Chen LW, Tint MT, Pang WW, Soh SE, Saw SM, Shek LPC, Tan KH, Gluckman PD, Chong YS, Yap F, Godfrey KM, Kramer MS, Lee YS. Body mass index trajectories in the first two years and subsequent childhood cardio-metabolic outcomes: a prospective multi-ethnic Asian cohort study. Sci Rep 2017; 7:8424. [PMID: 28827610 PMCID: PMC5567284 DOI: 10.1038/s41598-017-09046-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 07/20/2017] [Indexed: 12/31/2022] Open
Abstract
We investigated body mass index (BMI) trajectories in the first 2 years of life in 1170 children from an Asian mother-offspring cohort in Singapore, and examined their predictors and associations with childhood cardio-metabolic risk measures at 5 years. Latent class growth mixture modelling analyses were performed to identify distinct BMI z-score (BMIz) trajectories. Four trajectories were identified: 73.2%(n = 857) of the children showed a normal BMIz trajectory, 13.2%(n = 155) a stable low-BMIz trajectory, 8.6%(n = 100) a stable high-BMIz trajectory and 5.0%(n = 58) a rapid BMIz gain after 3 months trajectory. Predictors of the stable high-BMIz and rapid BMIz gain trajectories were pre-pregnancy BMI, gestational weight gain, Malay and Indian ethnicity, while predictors of stable low-BMIz trajectory were preterm delivery and Indian ethnicity. At 5 years, children with stable high-BMIz or rapid BMIz gain trajectories had increased waist-to-height ratios [B(95%CI) 0.02(0.01,0.03) and 0.03(0.02,0.04)], sum of skinfolds [0.42(0.19,0.65) and 0.70(0.36,1.03)SD units], fat-mass index [0.97(0.32,1.63)SD units] and risk of obesity [relative risk 3.22(1.73,6.05) and 2.56 (1.19,5.53)], but not higher blood pressure. BMIz trajectories were more predictive of adiposity at 5 years than was BMIz at 2 years. Our findings on BMIz trajectories in the first 2 years suggest important ethnic-specific differences and impacts on later metabolic outcomes.
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Affiliation(s)
- Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
| | - Ling-Wei Chen
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mya Thway Tint
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shu E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kok-Hian Tan
- Department of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Singapore, Singapore
| | - Michael S Kramer
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
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