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Manapurath R, Chowdhury R, Taneja S, Bhandari N, Kurpad AV, Devi S, Dwarkanath P, Strand TA. Impact of linear growth-improving interventions on childhood overnutrition at 24 months: a randomized controlled trial. Am J Clin Nutr 2025:S0002-9165(25)00019-X. [PMID: 39923812 DOI: 10.1016/j.ajcnut.2025.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 12/18/2024] [Accepted: 01/16/2025] [Indexed: 02/11/2025] Open
Abstract
BACKGROUND Childhood malnutrition, both undernutrition and overnutrition, is a major health concern in many low- and middle-income countries (LMICs). Efforts to reduce early undernutrition could also lead to obesity. In an earlier study, we reported the successful impact of a package of preconception, pregnancy, postnatal, and/or early childhood interventions (health, nutrition, psychosocial support, and water, sanitation, and hygiene) delivered in the first 1000 d, on reducing stunting in low-to-middle-income populations, in comparison with routine care. However, the impact of these interventions on early body composition and subsequent overweight is not known. OBJECTIVES The objective of this study was to estimate the effect of a package of interventions directed at preventing stunting in the first 1000 d on body composition at 1 mo and childhood overweight and/or obesity at 24 mo of age. METHODS Infant body composition was measured by deuterium dilution at 1 mo of age, along with the prevalence of childhood overweight and/or obesity at 24 mo, defined by a body mass index-for-Age Z (BMIz) score >+2 standard deviation. RESULTS Children in the preconception, pregnancy, and early childhood intervention group and those in the pregnancy and early childhood intervention group had higher body mass index z scores than those in routine care. However, the prevalence of overweight and/or obesity was low (ranging from 0.0 to 1.3%). Pregnancy interventions significantly increased neonatal fat-free mass (mean difference 0.1 kg, 95% confidence interval [CI]: 0.01, 0.2). However, there was no significant change in fat mass. CONCLUSIONS Comprehensive interventions from preconception to early childhood improve linear growth but do not result in overweight and/or obesity at 24 mo. With better resultant linear and ponderal growth, they converge with the World Health Organization's "double-duty actions for nutrition" for LMIC settings, where childhood overweight and/or obesity is a growing concern. This trial was registered at Clinical Trials Registry - India as CTRI/2017/06/008908.
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Affiliation(s)
- Rukman Manapurath
- Centre for International Health, University of Bergen, Norway; Society for Applied Studies, New Delhi, India
| | | | | | | | | | - Sarita Devi
- St. Johns Research Institute, Bangalore, India
| | | | - Tor A Strand
- Centre for International Health, University of Bergen, Norway; Department of Research, Innlandet Hospital Trust, Lillehammer, Norway
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Lewis JI, Mbabazi J, Mutumba R, Ritz C, Filteau S, Briend A, Michaelsen KF, Mølgaard C, Wells JC, Mupere E, Friis H, Grenov B. Correlates of Body Composition in Children with Stunting: A Cross-sectional Study in Uganda. J Nutr 2024; 154:3105-3115. [PMID: 39111553 DOI: 10.1016/j.tjnut.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 07/02/2024] [Accepted: 08/01/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Development of body composition (BC) may be disrupted in children with stunting. Such disruption may affect the later risk of excess adiposity and metabolic health, yet few studies have investigated correlates of BC in children with stunting. OBJECTIVES We aimed to investigate nutritional status, infection and inflammation, breastfeeding behaviors, and other factors as correlates of BC in children with stunting. METHODS Among Ugandan children with a height-for-age z-score <-2, BC was estimated using bioelectrical impedance analysis and compared with United Kingdom references. We used multiple linear regression analysis to identify correlates of fat mass (FM), fat-free mass (FFM), FM-index (FMI), and FFM index (FFMI) and height, adjusting for gender and age. RESULTS In 750 children aged 1-5 y, FMI was 0.46 (95% confidence interval [CI]: 0.38, 0.54] and FFMI 0.18 [95% CI: 0.11, 0.26) z-scores lower than United Kingdom references. Elevated serum α1-acid glycoprotein was associated with 1.14 [0.76, 1.52] cm lower height, 0.50 [0.35, 0.65] kg/m2 less FFMI, and 0.48 [0.31, 0.66] kg/m2 greater FMI. Similar, weaker, associations for elevated serum C-reactive protein were detected. A positive malaria rapid test was associated with 0.64 [0.25, 1.02] cm shorter height, but 0.36 [0.18, 0.54] kg/m2 greater FMI. Anemia (according to hemoglobin) was associated with 0.20 [0.07, 0.33] kg less FFM in proportion to shorter height. Longer breastfeeding duration was associated with 0.03 [0.02, 0.04] kg greater FFM per month, in proportion to greater height. CONCLUSIONS These children exhibited deficits in FM and FFM, proportionally to their stunted height, compared with United Kingdom references. Systemic inflammation correlated inversely with linear growth and FFM but positively with fatness, making it a possible target for intervention where fat-free tissue accretion is desirable. Longer breastfeeding may offer protection to lean linear growth, but findings for micronutrients were less clear. Longitudinal studies are warranted to support these findings. The study was registered at www.isrctn.com (Ref. ISRCTN13093195).
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Affiliation(s)
- Jack I Lewis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Joseph Mbabazi
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark; Department of Pediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rolland Mutumba
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark; Department of Pediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Christian Ritz
- The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Suzanne Filteau
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - André Briend
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark; Tampere Centre for Child Health Research, Tampere University, Tampere, Finland
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Christian Mølgaard
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan C Wells
- Childhood Nutrition Research Centre, Population, Policy, and Practice Research and Teaching Department, University College London, Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Ezekiel Mupere
- Department of Pediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Benedikte Grenov
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
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Amati F, McCann L, Castañeda-Gutiérrez E, Prior E, van Loo-Bouwman CA, Abrahamse-Berkeveld M, Oliveros E, Ozanne S, Symonds ME, Chang CY, Modi N. Infant fat mass and later child and adolescent health outcomes: a systematic review. Arch Dis Child 2024; 109:125-129. [PMID: 37940360 PMCID: PMC10850671 DOI: 10.1136/archdischild-2023-325798] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/27/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Obesity and excess adiposity are leading causes of metabolic and cardiovascular morbidity and mortality. Early identification of individuals at risk is key for preventive strategies. We examined the relationship between infant body composition (0-2 years of age) and later (>2 years) health outcomes using a systematic review. DESIGN We preregistered the study on PROSPERO (ID 288013) and searched Embase, PubMed and Cochrane databases for English language publications using the Medical Subject Headings (MeSH) terms 'infant' and 'body composition' and 'risk' between January 1946 and February 2022. We included studies which assessed infant body composition using predetermined in vivo methods other than body mass index (BMI). RESULTS We identified 6015 articles. After abstract screening to assess eligibility, we reviewed 130 full text publications. 30 were included in the final assessment and narrative synthesis. Meta-analysis was not possible due to heterogeneity of results. All 30 studies were of high quality and reported associations between infant body composition and 19 different health outcomes after 2 years of age. Outcome measurements ranged from 2 years to 16 years. The strongest associations were found between infant fat mass and later fat mass (7 studies), and later BMI (5 studies). For 11 of the outcomes assessed, there was no relationship to infant adiposity detected. CONCLUSIONS Current evidence, from a small number of studies, suggests a positive association between infant adiposity and future adiposity or BMI, but the validity of infant body composition as a biomarker of future health remains inconclusive. Carefully designed, standardised studies are required to identify the value of infant body composition for predicting later health. TRIAL REGISTRATION PROSPERO: 288013.
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Affiliation(s)
- Federica Amati
- Department of Primary Care and Public Health, Imperial College London, London, UK
| | - Lucy McCann
- Centre for Primary Care, Wolfson Insitute of Population Health, Queen Mary University, London, UK
| | | | - Emily Prior
- Section of Neonatal Medicine, School of Public Health, Imperial College London, London, UK
| | | | - Marieke Abrahamse-Berkeveld
- Department of Nutritional Physiology and Functional Nutrients, Danone Nutricia Research, Utrecht, The Netherlands
| | - Elena Oliveros
- Abbott Nutrition Research and Development, Abbott Laboratories, Granada, Spain
| | - Susan Ozanne
- Metabolic Research Laboratories and MRC Metabolic Diseases Unit, University of Cambridge, Cambridge, UK
| | - Michael Edward Symonds
- Centre for Perinatal Research, Academic Unit of Population and Lifespan Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Ching-Yu Chang
- International Life Science Institute, International Life Science Institute, European Branch, Brussels, Belgium
| | - Neena Modi
- Section of Neonatal Medicine, School of Public Health, Imperial College London, London, UK
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Jerome ML, Valcarce V, Lach L, Itriago E, Salas AA. Infant body composition: A comprehensive overview of assessment techniques, nutrition factors, and health outcomes. Nutr Clin Pract 2023; 38 Suppl 2:S7-S27. [PMID: 37721459 PMCID: PMC10513728 DOI: 10.1002/ncp.11059] [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: 04/14/2023] [Revised: 07/08/2023] [Accepted: 07/16/2023] [Indexed: 09/19/2023] Open
Abstract
Body composition assessment is a valuable tool for clinical assessment and research that has implications for long-term health. Unlike traditional measurements such as anthropometrics or body mass index, body composition assessments provide more accurate measures of body fatness and lean mass. Moreover, depending on the technique, they can offer insight into regional body composition, bone mineral density, and brown adipose tissue. Various methods of body composition assessment exist, including air displacement plethysmography, dual-energy x-ray absorptiometry, bioelectrical impedance, magnetic resonance imaging, D3 creatine, ultrasound, and skinfold thickness, each with its own strengths and limitations. In infants, several feeding practices and nutrition factors are associated with body composition outcomes, such as breast milk vs formula feeding, protein intake, breast milk composition, and postdischarge formulas for preterm infants. Longitudinal studies suggest that body composition in infancy predicts later body composition, obesity, and other cardiometabolic outcomes in childhood, making it a useful early marker of cardiometabolic health in both term and preterm infants. Emerging evidence also suggests that body composition during infancy predicts neurodevelopmental outcomes, particularly in preterm infants at high risk of neurodevelopmental impairment. The purpose of this narrative review is to provide clinicians and researchers with a comprehensive overview of body composition assessment techniques, summarize the links between specific nutrition practices and body composition in infancy, and describe the neurodevelopmental and cardiometabolic outcomes associated with body composition patterns in term and preterm infants.
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Affiliation(s)
| | | | - Laura Lach
- Medical University of South Carolina, Charleston, SC
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Momberg DJ, Bell R, Norris SA, Ngandu CB, Richter LM, Murphy-Alford AJ, Said-Mohamed R. Infection, nutritional status, and body composition: Associations at birth and 6 months postnatally in Soweto, South Africa. Am J Hum Biol 2023; 35:e23914. [PMID: 37221911 DOI: 10.1002/ajhb.23914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 04/04/2023] [Accepted: 05/05/2023] [Indexed: 05/25/2023] Open
Abstract
INTRODUCTION The impact of infection on infant nutritional status, body size, and growth is well documented. However, research into the impact of infection on infant body composition is limited. Greater understanding is, therefore, needed on the effects of infection in early life. METHODS Associations between a composite morbidity index consisting of the sum of the cumulative tallies for a range of symptoms representing infection and morbidity in the infants and nutritional status (height-for-age (HAZ), and weight-for-height (WHZ)), and body composition (fat-free mass (FFM), fat mass (FM), fat-free mass index (FFMI), and fat mass index (FMI)) at 6 months of age were investigated using hierarchical regression analysis. RESULTS The sample comprised data between birth and 6 months postnatally, of 156 infants who were a priori born healthy in Soweto, South Africa. Morbidity, over the cumulative period of birth to 6 months, was associated with lower FMI (β = -1.77) and lower FM (β = -0.61), and conversely with higher FFM (β = 0.94), in infants at 6 months. No associations were found between the morbidity index and FFMI, HAZ, and WHZ. Increased birthweight was associated with a higher FFM (β = 0.66), HAZ (β = 1.14), and WHZ (β = 0.87). Finally, safely managed sanitation facilities, representative of reduced environmental exposure to fecal-oral transmission pathways were associated with a higher HAZ (β = 1.21). DISCUSSION Reduction in FMI and FM and exposure to inflammatory cytokines associated with mounting an immune response could alter phenotypic trajectories during to this period of plasticity. From a public health perspective, these results imply that it is important to intensify efforts to prevent infection in infants in the first 6 months postnatally, and that these efforts should concentrate on access to safely managed sanitation facilities.
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Affiliation(s)
- Douglas J Momberg
- Department of Archaeology, Biological Anthropology, University of Cambridge, Cambridge, UK
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics and Child Health, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Rachel Bell
- Department of Archaeology, Biological Anthropology, University of Cambridge, Cambridge, UK
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics and Child Health, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- DSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Christian B Ngandu
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics and Child Health, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Linda M Richter
- DSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Rihlat Said-Mohamed
- Department of Archaeology, Biological Anthropology, University of Cambridge, Cambridge, UK
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics and Child Health, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Megersa BS, Zinab B, Ali R, Kedir E, Girma T, Berhane M, Admassu B, Friis H, Abera M, Olsen MF, Filteau S, Nitsch D, Yilma D, Wells JC, Andersen GS, Wibaek R. Associations of weight and body composition at birth with body composition and cardiometabolic markers in children aged 10 y: the Ethiopian infant anthropometry and body composition birth cohort study. Am J Clin Nutr 2023; 118:412-421. [PMID: 37328067 DOI: 10.1016/j.ajcnut.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/21/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Although birth weight (BW) has been associated with later cardiovascular disease and type 2 diabetes, the role of birth fat mass (BFM) and birth fat-free mass (BFFM) on cardiometabolic health is unclear. OBJECTIVES To examine associations of BW, BFM, and BFFM with later anthropometry, body composition, abdominal fat, and cardiometabolic markers. METHODS Birth cohort data on standardized exposure variables (BW, BFM, and BFFM) and follow-up information at age 10 y on anthropometry, body composition, abdominal fat, and cardiometabolic markers were included. A linear regression analysis was used to assess associations of exposures with outcome variables, adjusting for maternal and child characteristics at birth and current body size in separate models. RESULTS Among 353 children, mean (SD) age was 9.8 (1.0) y, and 51.5% were boys. In the fully adjusted model, 1-SD higher BW and BFFM were associated with 0.81 cm (95% CI: 0.21, 1.41 cm) and 1.25 cm (95% CI: 0.64, 1.85 cm) greater height at 10 y, respectively. The 1-SD higher BW and BFM were associated with 0.32 kg/m2 (95% CI: 0.14, 0.51 kg/m2) and 0.42 kg/m2 (95% CI: 0.25, 0.59 kg/m2) greater fat mass index at 10 y, respectively. In addition, 1-SD higher BW and BFFM were associated with 0.22 kg/m2 (95% CI: 0.09, 0.34 kg/m2) greater FFM index, whereas a 1-SD greater BFM was associated with a 0.05 cm greater subcutaneous adipose tissue (95% CI: 0.01, 0.11 cm). Furthermore, 1-SD higher BW and BFFM were associated with 10.3% (95% CI: 1.4%, 20.0%) and 8.3% (95% CI: -0.5%, 17.9%) greater insulin, respectively. Similarly, 1-SD higher BW and BFFM were associated with 10.0% (95% CI: 0.9%, 20.0%) and 8.5% (95% CI: -0.6%, 18.5%) greater homeostasis model assessment of insulin resistance, respectively. CONCLUSIONS BW and BFFM rather than BFM are predictors of height and FFM index at 10 y. Children with higher BW and BFFM showed higher insulin concentrations and homeostasis model assessment of insulin resistance at 10 y of age. This trial was registered at ISRCTN as ISRCTN46718296.
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Affiliation(s)
- Bikila S Megersa
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
| | - Beakal Zinab
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Nutrition and Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia
| | - Rahma Ali
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Elias Kedir
- Department of Radiology, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Tsinuel Girma
- Department of Pediatrics and Child Health, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Melkamu Berhane
- Department of Pediatrics and Child Health, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Bitiya Admassu
- Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Mubarek Abera
- Department of Psychiatry, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Mette F Olsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Infectious Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Suzanne Filteau
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Dorothea Nitsch
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Daniel Yilma
- Department of Internal Medicine; Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia
| | - Jonathan Ck Wells
- Childhood Nutrition Research Center, Population Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | | | - Rasmus Wibaek
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
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Lewis JI, Friis H, Mupere E, Wells JC, Grenov B. Calibration of Bioelectrical Impedance Analysis Against Deuterium Dilution for Body Composition Assessment in Stunted Ugandan Children. J Nutr 2023; 153:426-434. [PMID: 36894235 DOI: 10.1016/j.tjnut.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/09/2022] [Accepted: 12/28/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND BIA represents an important tool in body composition (BC) assessment, especially in low-income settings in which simple and affordable options are preferred. There is a particular need to measure BC in stunted children, in which cases population-specific BIA estimating equations are lacking. OBJECTIVES We calibrated an equation to estimate body composition from BIA using deuterium dilution (2H) as the criterion method in stunted children. METHODS We measured BC with 2H and performed BIA in stunted Ugandan children (n = 50). Multiple linear regression models were constructed to predict 2H-derived FFM from BIA-derived whole-body impedance and other relevant predictors. Model performance was expressed as adjusted R2 and RMSE. Prediction errors were also calculated. RESULTS Participants were aged 16-59 mo, of whom 46% were girls, and their median (IQR) height-for-age z-score (HAZ) was -2.58 (-2.92 to -2.37) according to the WHO growth standards. Impedance index (height2/impedance measured at 50 kHz) alone explained 89.2% variation in FFM and had an RMSE of 583 g (precision error 6.5%). The final model contained age, sex, impedance index, and height-for-age z-score as predictors and explained 94.5% variation in FFM with an RMSE of 402 g (precision error 4.5%). CONCLUSIONS We present a BIA calibration equation for a group of stunted children with a relatively low prediction error. This may help evaluate the efficacy of nutritional supplementation in large-scale trials in the same population. J Nutr 20XX;xxx:xx.
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Affiliation(s)
- Jack I Lewis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ezekiel Mupere
- Department of Paediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Jonathan C Wells
- Childhood Nutrition Research Centre, Population, Policy, and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Benedikte Grenov
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
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Flaherman VJ, Ginsburg AS, Nankabirwa V, Braima da Sa A, Medel‐Herrero A, Schaefer E, Dongol S, Shrestha A, Nisar I, Altaf M, Liaquat K, Baloch B, Rahman N, Shafiq Y, Ariff S, Jehan F, Roberts SB. Newborn weight change and predictors of underweight in the neonatal period in Guinea-Bissau, Nepal, Pakistan and Uganda. MATERNAL & CHILD NUTRITION 2022; 18:e13396. [PMID: 35821647 PMCID: PMC9480948 DOI: 10.1111/mcn.13396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 06/08/2022] [Accepted: 06/12/2022] [Indexed: 11/27/2022]
Abstract
In low- and middle-income countries (LMIC), growth impairment is common; however, the trajectory of growth over the course of the first month has not been well characterised. To describe newborn growth trajectory and predictors of growth impairment, we assessed growth frequently over the first 30 days among infants born ≥2000 g in Guinea-Bissau, Nepal, Pakistan and Uganda. In this cohort of 741 infants, the mean birth weight was 3036 ± 424 g. For 721 (98%) infants, weight loss occurred for a median of 2 days (interquartile range, 1-4) following birth until weight nadir was reached 5.9 ± 4.3% below birth weight. At 30 days of age, the mean weight was 3934 ± 592 g. The prevalence of being underweight at 30 days ranged from 5% in Uganda to 31% in Pakistan. Of those underweight at 30 days of age, 56 (59%) had not been low birth weight (LBW), and 48 (50%) had reached weight nadir subsequent to 4 days of age. Male sex (relative risk [RR] 2.73 [1.58, 3.57]), LBW (RR 6.41 [4.67, 8.81]), maternal primiparity (1.74 [1.20, 2.51]) and reaching weight nadir subsequent to 4 days of age (RR 5.03 [3.46, 7.31]) were highly predictive of being underweight at 30 days of age. In this LMIC cohort, country of birth, male sex, LBW and maternal primiparity increased the risk of impaired growth, as did the modifiable factor of delayed initiation of growth. Interventions tailored to infants with modifiable risk factors could reduce the burden of growth impairment in LMIC.
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Affiliation(s)
| | - Amy S. Ginsburg
- Clinical Trials CenterUniversity of WashingtonSeattleWashingtonUSA
| | | | | | | | - Eric Schaefer
- Penn State College of MedicineHersheyPennsylvaniaUSA
| | - Srijana Dongol
- Kathmandu University School of Medical SciencesDhulikhelNepal
| | - Akina Shrestha
- Kathmandu University School of Medical SciencesDhulikhelNepal
| | - Imran Nisar
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Muddassir Altaf
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Khushboo Liaquat
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Benazir Baloch
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Najeeb Rahman
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Yasir Shafiq
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Shabina Ariff
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Fyezah Jehan
- Department of Paediatrics and Child HealthAga Khan UniversityKarachiPakistan
| | - Susan B. Roberts
- The Gerald J and Dorothy R Friedman School of Nutrition Science and PolicyTufts UniversityBostonMassachusettsUSA
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Ong YY, Tint MT, Aris IM, Yuan WL, Chen LW, 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, De Lucia Rolfe E, Ong KK, Michael N, Lee YS. Newborn body composition and child cardiovascular risk markers: a prospective multi-ethnic Asian cohort study. Int J Epidemiol 2022; 51:1835-1846. [PMID: 35906917 PMCID: PMC9749728 DOI: 10.1093/ije/dyac154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/21/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Early epidemiological studies have associated low birthweight with increased cardiovascular risk. We aimed to examine whether the fat and fat-free components of birthweight have differing relationships with childhood cardiovascular risk markers. METHODS In the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort, air displacement plethysmography was conducted within 24 h after delivery in 290 naturally conceived singletons. We investigated associations of newborn cohort-specific standardized z-score of fat mass, fat-free mass, body fat percentage and birthweight on child (at 6 years of age) carotid intima-media thickness, pulse wave velocity, blood pressure, prehypertension/hypertension (>110/70 mmHg) and standardized systolic and diastolic blood pressure (SBP and DBP) trajectories (at 3-6 years of age), taking account of maternal education, height, tobacco exposure, parity, ethnicity, child's sex, gestational age, age at follow-up, and other maternal factors. RESULTS Clear inverse associations were seen for blood pressure with z-score of fat mass [SBP, β (95% CI): -1.31 mmHg (-2.57, -0.06); DBP: -0.79 mmHg (-1.74, 0.15)] and body fat percentage [SBP: -1.46 mmHg (-2.73, -0.19); DBP: -0.80 mmHg (-1.75, 0.16)], but not with fat-free mass [SBP: 0.27 mmHg (-1.29, 1.83)]; DBP: -0.14 mmHg (-1.30, 1.03)]. Being in the lowest tertile of fat mass or body fat percentage was associated with higher blood pressure trajectories and prehypertension/hypertension risk [OR (95% CI), fat mass: 4.23 (1.41, 12.68); body fat percentage: 3.22 (1.09, 9.53)] without concomitantly higher overweight/obesity risk. CONCLUSIONS At birth, low adiposity was associated with increased childhood blood pressure. Low newborn adiposity might serve as a marker of poor fetal growth or suboptimal intrauterine conditions associated with hypertension risk later in life.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mya-Thway Tint
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 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
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ling-Wei Chen
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Marielle V Fortier
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Jonathan Choo
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore
| | - Lynette Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of Paediatrics, Khoo Teck Puat-National University Children’s Medical Institute, Singapore
| | - Kok Hian Tan
- Academic Medicine Department, Duke-NUS Medical School, Singapore,Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore,Academic Medicine Department, Duke-NUS Medical School, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 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,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland,Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
| | - Mary E Wlodek
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Emanuella De Lucia Rolfe
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Ken K Ong
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Yung Seng Lee
- Corresponding author. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 12, Singapore 119228, Singapore. E-mail:
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10
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van Beijsterveldt IALP, de Fluiter KS, Breij LM, van der Steen M, Hokken‐Koelega ACS. Fat mass and fat-free mass track from infancy to childhood: New insights in body composition programming in early life. Obesity (Silver Spring) 2021; 29:1899-1906. [PMID: 34549538 PMCID: PMC9292756 DOI: 10.1002/oby.23271] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Early life is a critical window for adiposity programming. This study investigated whether fat mass percentage (FM%), fat mass index (FMI), abdominal fat, and fat-free mass (FFM) in early life track into childhood and whether there are sex differences and differences between infant feeding types. METHODS Detailed body composition was longitudinally measured by air-displacement plethysmography, dual-energy x-ray absorptiometry, and abdominal ultrasound in 224 healthy, term-born children. Measurements were divided into tertiles. Odds ratios (OR) of remaining in the highest tertile of FM%, FMI, abdominal subcutaneous and visceral fat, and FFM index (FFMI) were calculated from early life to age 4 years. RESULTS High FM% and FMI tracked from age 3 and 6 months to age 4 years (OR = 4.34 [p = 0.002] and OR = 6.54 [p < 0.001]). High subcutaneous abdominal fat tracked from age 6 months to age 4 years (OR = 2.30 [p = 0.012]). High FFMI tracked from age 1, 3, and 6 months to age 4 years (OR = 4.16 [p = 0.005], 3.71 [p = 0.004], and 3.36 [p = 0.019]). In non-exclusively breastfed infants, high FM% tracked from early life to age 4 years, whereas this was not the case for exclusively breastfed infants. There was no tracking in visceral fat or sex differences. CONCLUSIONS Infants with high FM%, FMI, subcutaneous abdominal fat, and FFMI in early life are likely to remain in the highest tertile at age 4 years. Exclusive breastfeeding for 3 months is potentially protective against having high FM% at age 4 years.
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Affiliation(s)
- Inge A. L. P. van Beijsterveldt
- Department of PediatricsSubdivision of EndocrinologyErasmus University Medical CenterSophia Children’s HospitalRotterdamthe Netherlands
| | - Kirsten S. de Fluiter
- Department of PediatricsSubdivision of EndocrinologyErasmus University Medical CenterSophia Children’s HospitalRotterdamthe Netherlands
| | - Laura M. Breij
- Department of PediatricsSubdivision of EndocrinologyErasmus University Medical CenterSophia Children’s HospitalRotterdamthe Netherlands
| | - Manouk van der Steen
- Department of PediatricsSubdivision of EndocrinologyErasmus University Medical CenterSophia Children’s HospitalRotterdamthe Netherlands
| | - Anita C. S. Hokken‐Koelega
- Department of PediatricsSubdivision of EndocrinologyErasmus University Medical CenterSophia Children’s HospitalRotterdamthe Netherlands
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11
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Galante L, Reynolds CM, Milan AM, Alexander T, Bloomfield FH, Jiang Y, Asadi S, Muelbert M, Cameron-Smith D, Pundir S, Vickers MH. Metabolic Hormone Profiles in Breast Milk From Mothers of Moderate-Late Preterm Infants Are Associated With Growth From Birth to 4 Months in a Sex-Specific Manner. Front Nutr 2021; 8:641227. [PMID: 34124118 PMCID: PMC8193224 DOI: 10.3389/fnut.2021.641227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 04/19/2021] [Indexed: 12/25/2022] Open
Abstract
Background: Differing environmental conditions experienced by mother-infant dyads may influence composition of the milk received by the infant. As a consequence, diverse milk compositional profiles may contribute to different postnatal outcomes, especially in infants facing adverse perinatal environments. We investigated whether variability in milk concentrations of key metabolic hormones is associated with different growth outcomes in infants born preterm, a perinatal complication known to impact on infant growth. Methods: Human milk samples were collected from 169 mothers of 191 infants enrolled in the DIAMOND trial, a randomized trial of nutrition for moderate-late preterm infants, at 5 and 10 days postpartum and again at 4 months' corrected age and analyzed for leptin, adiponectin and insulin-like growth factor (IGF)-1. Infant weight and body composition were measured at birth, discharge and 4 months' corrected age. Multiple linear regression models were used to examine correlations between milk hormone concentrations, weight z-scores and body composition at discharge and 4 months' corrected age, and weight gain from birth to 4 months' corrected age. Sex-specific interactions were examined. Results: Higher milk IGF-1 concentrations on day 5 after birth were associated with greater infant fat-free mass at 4 months' corrected age. Milk IGF-1 concentrations at 4 months were positively associated with fat mass and fat-free mass at 4 months in boys but not girls. Milk leptin concentrations on day 5 after birth were positively associated with fat mass at discharge from hospital, but negatively associated with fat mass at 4 months' corrected age. No significant association was found for milk adiponectin concentrations. Conclusion: Milk IGF-1 and leptin concentrations in mothers of moderate-late preterm babies are associated with different growth and body composition through to 4 months' corrected age and these associations are often different in boys and girls. The sex-specific effects of nutrient and hormone exposure during early life in preterm infants warrants further investigation to optimize the nutritional care these infants receive, particularly in hospital, where the same nutrition is provided to boys and girls.
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Affiliation(s)
- Laura Galante
- The Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Clare M Reynolds
- The Liggins Institute, University of Auckland, Auckland, New Zealand.,School of Public Health, Physiotherapy and Sports Science, Institute of Food and Health, Conway Institute, University College Dublin, Belfield, Ireland
| | - Amber M Milan
- The Liggins Institute, University of Auckland, Auckland, New Zealand.,Food Nutrition & Health Team, Food & Bio-Based Products Group, AgResearch, Palmerston North, New Zealand
| | - Tanith Alexander
- The Liggins Institute, University of Auckland, Auckland, New Zealand.,Neonatal Unit, Kidz First, Middlemore Hospital, Auckland, New Zealand
| | | | - Yannan Jiang
- The Liggins Institute, University of Auckland, Auckland, New Zealand.,Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Sharin Asadi
- The Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Mariana Muelbert
- The Liggins Institute, University of Auckland, Auckland, New Zealand
| | - David Cameron-Smith
- The Liggins Institute, University of Auckland, Auckland, New Zealand.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Shikha Pundir
- The Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Mark H Vickers
- The Liggins Institute, University of Auckland, Auckland, New Zealand
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12
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Alja'nini Z, McNelis KM, Viswanathan S, Goddard GR, Merlino-Barr S, Collin M, Groh-Wargo S. Infant body composition assessment in the neonatal intensive care unit (NICU) using air displacement plethysmography: Strategies for implementation into clinical workflow. Clin Nutr ESPEN 2021; 43:212-222. [PMID: 34024517 DOI: 10.1016/j.clnesp.2021.04.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 04/03/2021] [Accepted: 04/10/2021] [Indexed: 11/19/2022]
Abstract
Nutritional management is integral to infant care in the neonatal intensive care unit (NICU). Recent research on body composition that specifically evaluated fat and fat-free mass has improved our understanding of infant growth and nutritional requirements. The need for body composition monitoring in infants is increasingly recognized as changes in fat mass and fat-free mass associated with early growth can impact clinical outcomes. With the availability of air displacement plethysmography (ADP) as a noninvasive method for assessing infant body composition and published normative gestational age- and sex-specific body composition curves, it is justifiable to integrate this innovation into routine clinical care. Here we describe our experiences in implementing body composition measurement using ADP in routine clinical care in different NICU settings.
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Affiliation(s)
- Zaineh Alja'nini
- Department of Pediatrics, MetroHealth Medical Center Affiliated with Case Western Reserve University, Cleveland, OH, USA.
| | - Kera Michelle McNelis
- Cincinnati Children's Hospital Medical Center, Department of Pediatrics, Perinatal Institute, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sreekanth Viswanathan
- Division of Neonatology, Department of Pediatrics, Nemours Children's Hospital, University of Central Florida College of Medicine, Orlando, FL, USA
| | - Gillian R Goddard
- Division of Pediatric and General and Thoracic Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Stephanie Merlino-Barr
- Department of Pediatrics, MetroHealth Medical Center Affiliated with Case Western Reserve University, Cleveland, OH, USA
| | - Marc Collin
- Department of Pediatrics, MetroHealth Medical Center Affiliated with Case Western Reserve University, Cleveland, OH, USA
| | - Sharon Groh-Wargo
- Department of Pediatrics, MetroHealth Medical Center Affiliated with Case Western Reserve University, Cleveland, OH, USA
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13
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Riederer M, Wallner M, Schweighofer N, Fuchs-Neuhold B, Rath A, Berghold A, Eberhard K, Groselj-Strele A, Staubmann W, Peterseil M, Waldner I, Mayr JA, Rothe M, Holasek S, Maunz S, Pail E, van der Kleyn M. Distinct maternal amino acids and oxylipins predict infant fat mass and fat-free mass indices. Arch Physiol Biochem 2020; 129:563-574. [PMID: 33283558 DOI: 10.1080/13813455.2020.1846204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Interested in maternal determinants of infant fat mass index (FMI) and fat-free mass index (FFMI), considered as predictors for later development of obesity, we analysed amino acids (AA) and oxylipins in maternal serum and breast milk (BM). FMI and FFMI were calculated in 47 term infants aged 4 months (T4). Serum AA were analysed in pregnancy (T1, T2) and 6-8 weeks postpartum (T3). At T3, AA and oxylipins were analysed in BM. Biomarker-index-associations were identified by regression analysis. Infant FMI (4.1 ± 1.31 kg/m2; MW ± SD) was predicted by T2 proline (R2 adj.: 7.6%, p = .036) and T3 BM 11-hydroxy-eicosatetraenoic-acid (11-HETE) and 13-hydroxy-docosahexaenoic-acid (13-HDHA; together:35.5% R2 adj., p < .001). Maternal peripartum antibiotics (AB) emerged as confounders (+AB: 23.5% higher FMI; p = .025). Infant FFMI (12.1 ± 1.19 kg/m2; MW ± SD) was predicted by histidine (R2 adj.: 14.5%, p < .001) and 17-HDHA (BM, R2 adj.:19.3%, p < .001), determined at T3. Confirmed in a larger cohort, the parameters could elucidate connections between maternal metabolic status, nutrition, and infant body development.
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Affiliation(s)
- Monika Riederer
- Institute of Biomedical Science, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Marlies Wallner
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
| | | | - Bianca Fuchs-Neuhold
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Anna Rath
- Institute of Midwifery, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Andrea Berghold
- Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria
| | - Katharina Eberhard
- Core Facility Computational Bioanalytics, Center for Medical Research (ZMF), Medical University of Graz, Graz, Austria
| | - Andrea Groselj-Strele
- Core Facility Computational Bioanalytics, Center for Medical Research (ZMF), Medical University of Graz, Graz, Austria
| | - Wolfgang Staubmann
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Marie Peterseil
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Irmgard Waldner
- Institute of Midwifery, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Johannes A Mayr
- University Clinic for Pediatrics and Adolescent Medicine Salzburg, Salzburg, Austria
| | | | - Sandra Holasek
- Department of Pathophysiology, Medical University Graz, Graz, Austria
| | - Susanne Maunz
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
| | - Elisabeth Pail
- Institute of Dietetics and Nutrition, Health Perception Lab, University of Applied Sciences JOANNEUM, Graz, Austria
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14
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de Fluiter KS, van Beijsterveldt IALP, Breij LM, Acton D, Hokken-Koelega ACS. Association Between Fat Mass in Early Life and Later Fat Mass Trajectories. JAMA Pediatr 2020; 174:1141-1148. [PMID: 32804197 PMCID: PMC7432277 DOI: 10.1001/jamapediatrics.2020.2673] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
IMPORTANCE A rapid increase in weight in early life is associated with an increased risk for adiposity and cardiovascular diseases at age 21 years and beyond. However, data on associations of early change in measured fat mass percentage (FM%) with adiposity development are lacking. OBJECTIVE To investigate whether a rapid increase in FM% in the first months of life is associated with higher trajectories of body fat mass during the first 2 years of life. DESIGN, SETTING, AND PARTICIPANTS A birth cohort consisting of 401 healthy, term-born infants of the Sophia Pluto Cohort Study was analyzed. Participants were born between January 7, 2013, and October 13, 2017. Data were analyzed from February 1, 2020, to May 20, 2020. INTERVENTIONS Longitudinal measurements of FM% by air-displacement plethysmography and dual-energy x-ray absorptiometry, and abdominal subcutaneous and visceral fat mass (FM) by ultrasonography in infants at ages 1, 3, 6, 9, 12, 18, and 24 months. A rapid increase in FM% was defined as a change in FM% of greater than 0.67 standard deviation scores (SDS). MAIN OUTCOMES AND MEASURES Associations between change in FM% SDS in the first and second 6-month period of life with body composition at age 2 years and whether a rapid increase in FM% SDS during the first 6 months leads to higher body FM and abdominal FM trajectories during the first 2 years of life. RESULTS Of the 401 participants, 228 infants (57%) were male. Change in FM% SDS from age 1 to 6 months was positively associated with FM% (β, 0.044; 95% CI, 0.017-0.068), FMI (β, 0.061; 95% CI, 0.032-0.091), and abdominal subcutaneous FM (β, 0.064; 95% CI, 0.036-0.092) at age 2 years, but not with visceral FM. In contrast, no associations were found within the 6- to 12-month period. Infants with a rapid increase in FM% of greater than 0.67 SDS in the first 6 months of life had higher trajectories of FM%, FM index, and subcutaneous FM during the first 2 years of life (all P≤.001), but visceral FM index was not significantly different compared with infants without a rapid increase (P = .12). CONCLUSIONS AND RELEVANCE In this study, only the change in FM% in the first 6 months of life was associated with more adiposity at age 2 years. Infants with a rapid increase in FM% had higher trajectories of FM% and FM index during the first 2 years of life. These findings appear to support a critical window for adiposity programming in early life.
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Affiliation(s)
- Kirsten S. de Fluiter
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, the Netherlands
| | - Inge A. L. P. van Beijsterveldt
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, the Netherlands
| | - Laura M. Breij
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, the Netherlands
| | - Dennis Acton
- Danone Nutricia Research, Utrecht, the Netherlands
| | - Anita C. S. Hokken-Koelega
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, the Netherlands,Dutch Growth Research Foundation, Rotterdam, the Netherlands
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15
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Crawford KA, Hawley N, Calafat AM, Jayatilaka NK, Froehlich RJ, Has P, Gallagher LG, Savitz DA, Braun JM, Werner EF, Romano ME. Maternal urinary concentrations of organophosphate ester metabolites: associations with gestational weight gain, early life anthropometry, and infant eating behaviors among mothers-infant pairs in Rhode Island. Environ Health 2020; 19:97. [PMID: 32917231 PMCID: PMC7488675 DOI: 10.1186/s12940-020-00648-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 08/21/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Organophosphate esters (OPEs)-used as flame retardants and plasticizers-are associated with adverse pregnancy outcomes such as reduced fecundity and live births and increased preterm delivery. OPEs may interfere with growth and metabolism via endocrine-disruption, but few studies have investigated endocrine-related outcomes. The objective of this pilot study (n = 56 mother-infant pairs) was to evaluate associations of OPEs with gestational weight gain (GWG), gestational age at delivery, infant anthropometry, and infant feeding behaviors. METHODS We quantified OPE metabolites (bis-2-chloroethyl phosphate [BCEP], bis (1,3-dichloro-2-propyl) phosphate [BDCPP], diphenyl phosphate [DPHP]) in pooled maternal spot urine collected throughout pregnancy (~ 12, 28, and 35 weeks' gestation). We obtained maternal sociodemographic characteristics from questionnaires administered at enrollment and perinatal characteristics from medical record abstraction. Trained research assistants measured infant weight, length, head and abdominal circumferences, and skinfold thicknesses at birth and 6 weeks postpartum. Mothers reported infant feeding behavior via the Baby Eating Behavior Questionnaire (BEBQ). Using multiple linear regression, we assessed associations of log2-transformed maternal urinary OPE metabolites with GWG, gestational age at delivery, infant anthropometry at birth, weekly growth rate, and BEBQ scores at 6 weeks postpartum. We used linear mixed effects (LME) models to analyze overall infant anthropometry during the first 6 weeks of life. Additionally, we considered effect modification by infant sex. RESULTS We observed weak positive associations between all OPE metabolites and GWG. In LME models, BDCPP was associated with increased infant length (β = 0.44 cm, 95%CI = 0.01, 0.87) and weight in males (β = 0.14 kg, 95%CI = 0.03, 0.24). BDCPP was also associated with increased food responsiveness (β = 0.23, 95%CI = 0.06, 0.40). DPHP was inversely associated with infant abdominal circumference (β = - 0.50 cm, 95%CI = - 0.86, - 0.14) and female weight (β = - 0.19 kg, 95%CI = - 0.36, - 0.02), but positively associated with weekly growth in iliac skinfold thickness (β = 0.10 mm/wk., 95%CI = 0.02, 0.19). Further, DPHP was weakly associated with increased feeding speed. BCEP was associated with greater infant thigh skinfold thickness (β = 0.34 mm, 95%CI = 0.16, 0.52) and subscapular skinfold thickness in males (β = 0.14 mm, 95%CI = 0.002, 0.28). CONCLUSIONS Collectively, these findings suggest that select OPEs may affect infant anthropometry and feeding behavior, with the most compelling evidence for BDCPP and DPHP.
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Affiliation(s)
- Kathryn A. Crawford
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH USA
- Current Address: Program in Environmental Studies, Middlebury College, Middlebury, VT USA
| | - Nicola Hawley
- Department of Epidemiology, Yale University School of Public Health, New Haven, CT USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Nayana K. Jayatilaka
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Rosemary J. Froehlich
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA USA
| | - Phinnara Has
- Division of Maternal-Fetal Medicine, Women & Infants Hospital of Rhode Island, Providence, RI USA
| | - Lisa G. Gallagher
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH USA
| | - David A. Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, RI USA
- Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, RI USA
| | - Erika F. Werner
- Division of Maternal-Fetal Medicine, Women & Infants Hospital of Rhode Island, Providence, RI USA
- Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Megan E. Romano
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH USA
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16
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Moore BF, Harrall KK, Sauder KA, Glueck DH, Dabelea D. Neonatal Adiposity and Childhood Obesity. Pediatrics 2020; 146:e20200737. [PMID: 32796097 PMCID: PMC7461209 DOI: 10.1542/peds.2020-0737] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/24/2020] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES To explore the longitudinal association of neonatal adiposity (fat mass percentage) with BMI trajectories and childhood overweight and obesity from ages 2 to 6 years. METHODS We studied 979 children from the Healthy Start cohort. Air displacement plethysmography was used to estimate fat mass percentage. Child weight and recumbent length or standing height were abstracted from medical records. Overweight and obesity were defined as BMI levels ≥85th percentile for age and sex. Mixed-effects models were used to examine the association between neonatal fat mass percentage and BMI trajectories from age 2 to 6 years. We tested for effect modification by sex, race and/or ethnicity, and breastfeeding duration. We estimated the proportion of children classified as overweight or obese at specific levels of neonatal fat mass percentage (mean ± SD). RESULTS The mean neonatal adiposity level was 9.1% ± 4.0%. Child BMI levels differed by neonatal adiposity. Each SD increase in neonatal adiposity resulted in a 0.12 higher overall BMI level between ages 2 to 6 years (95% confidence interval: 0.03 to 0.20; P < .01), and this association was not modified by offspring sex, race and/or ethnicity, or breastfeeding duration. Increasing neonatal adiposity was associated with an increasing proportion of childhood overweight and obesity by age 5 years (P = .02). CONCLUSIONS We provide novel evidence that higher neonatal adiposity is significantly associated with higher overall BMI levels and an increased likelihood of overweight or obesity from ages 2 to 6 years. Because various prenatal exposures may specifically influence offspring fat accretion, neonatal adiposity may be a useful surrogate end point for prenatal interventions aimed at reducing future childhood overweight and obesity.
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Affiliation(s)
- Brianna F Moore
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Austin Regional Campus, Austin, Texas
- Lifecourse Epidemiology of Adiposity and Diabetes Center and
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes Center and
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center and
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Deborah H Glueck
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center and
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado; and
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Kuriyan R, Naqvi S, Bhat KG, Ghosh S, Rao S, Preston T, Sachdev HS, Kurpad AV. The Thin But Fat Phenotype is Uncommon at Birth in Indian Babies. J Nutr 2020; 150:826-832. [PMID: 31858112 DOI: 10.1093/jn/nxz305] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 08/15/2019] [Accepted: 11/20/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Indian babies are hypothesized to be born thin but fat. This has not been confirmed with precise measurements at birth. If it is true, it could track into later life and confer risk of noncommunicable diseases (NCDs). OBJECTIVES Primarily, to accurately measure percentage of body fat (%BF) and body cell mass (BCM) in Indian babies with normal birth weight, compare them across different gestational ages and sex, and test the hypothesis of the thin but fat phenotype in Indian babies. Secondarily, to examine the relation between body weight and body fat in Indian babies. METHODS Term newborns (n = 156) weighing ≥2500 g, from middle socioeconomic status mothers were recruited in Bengaluru, India, and their anthropometry, %BF (air displacement plethysmography), and BCM (whole-body potassium counter) were measured. Maternal demography and anthropometry were recorded. The mean %BF and its dispersion were compared with earlier studies. The relation between newborn %BF and body weight was explored by regression analysis. RESULTS Mean birth weight was 3.0 ± 0.3 kg, with mean %BF 9.8 ± 3.5%, which was comparable to pooled estimates of %BF from published studies (9.8%; 95% CI: 9.7, 10.0; P > 0.05). Appropriate-for-gestational age (AGA) babies had higher %BF (1.8%) compared to small-for-gestational age (SGA) babies (P < 0.01). Mean %BCM of all babies at birth was 35.4 ± 10.5%; AGA babies had higher %BCM compared to SGA babies (7.0%, P < 0.05). Girls in comparison to boys had significantly higher %BF and lower %BCM. Body weight was positively associated with %BF. CONCLUSION Indian babies with normal birth weight did not demonstrate the thin but fat phenotype. Body weight and fat had positive correlation, such that SGA babies did not show a preservation of their %BF. These findings will have relevance in planning optimal interventions during early childhood to prevent NCDs risk in adult life.
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Affiliation(s)
- Rebecca Kuriyan
- Division of Nutrition, St. John's Research Institute, Bengaluru, India
| | - Saba Naqvi
- Division of Nutrition, St. John's Research Institute, Bengaluru, India
| | - Kishor G Bhat
- Division of Nutrition, St. John's Research Institute, Bengaluru, India
| | - Santu Ghosh
- Division of Epidemiology and Biostatistics, St. John's Medical College, Bengaluru, India
| | - Suman Rao
- Department of Neonatology, St. John's Medical College Hospital, Bengaluru, India
| | - Thomas Preston
- Stable Isotope Biochemistry Laboratory, Scottish Universities Environmental Research Centre, Glasgow, UK
| | | | - Anura V Kurpad
- Department of Physiology, St. John's Medical College, Bengaluru, India
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18
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Wibaek R, Vistisen D, Girma T, Admassu B, Abera M, Abdissa A, Mudie K, Kæstel P, Jørgensen ME, Wells JCK, Michaelsen KF, Friis H, Andersen GS. Body mass index trajectories in early childhood in relation to cardiometabolic risk profile and body composition at 5 years of age. Am J Clin Nutr 2019; 110:1175-1185. [PMID: 31504088 DOI: 10.1093/ajcn/nqz170] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 07/03/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Both impaired and accelerated postnatal growth have been associated with adult risks of obesity and cardiometabolic diseases, like type 2 diabetes and cardiovascular disease. However, the timing of the onset of cardiometabolic changes and the specific growth trajectories linking early growth with later disease risks are not well understood. OBJECTIVES The aim of this study was to identify distinct trajectories of BMI growth from 0 to 5 y and examine their associations with body composition and markers of cardiometabolic risk at age 5 y. METHODS In a prospective birth cohort study of 453 healthy and term Ethiopian children with BMIs assessed a median of 9 times during follow-up, we identified subgroups of distinct BMI trajectories in early childhood using latent class trajectory modeling. Associations of the identified growth trajectories with cardiometabolic markers and body composition at 5 y were analyzed using multiple linear regression analyses in 4 adjustment models for each outcome. RESULTS We identified 4 heterogeneous BMI growth trajectories: stable low BMI (19.2%), normal BMI (48.8%), rapid catch-up to high BMI (17.9%), and slow catch-up to high BMI (14.1%). Compared with the normal BMI trajectory, children in the rapid catch-up to high BMI trajectory had higher triglycerides (TGs) (range of β-coefficients in Models 1-4: 19-21%), C-peptides (23-25%), fat masses (0.48-0.60 kg), and fat-free masses (0.50-0.77 kg) across the 4 adjustment models. Children in the stable low BMI trajectory had lower LDL cholesterol concentrations (0.14-0.17 mmol/L), HDL cholesterol concentrations (0.05-0.09 mmol/L), fat masses (0.60-0.64 kg), and fat-free masses (0.35-0.49 kg), but higher TGs (11-13%). CONCLUSIONS The development of obesity and cardiometabolic risks may be established already in early childhood; thus, our data provide a further basis for timely interventions targeted at young children from low-income countries with unfavorable growth patterns. The birth cohort was registered at ISRCTN as ISRCTN46718296.
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Affiliation(s)
- Rasmus Wibaek
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Dorte Vistisen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Tsinuel Girma
- Department of Pediatrics and Child Health, Jimma University, Jimma, Ethiopia.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia
| | - Bitiya Admassu
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Mubarek Abera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Psychiatry, Jimma University, Jimma, Ethiopia
| | - Alemseged Abdissa
- Jimma University Clinical and Nutrition Research Partnership, Jimma University, Jimma, Ethiopia.,Department of Laboratory Sciences and Pathology, Jimma University, Jimma, Ethiopia
| | - Kissi Mudie
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Pernille Kæstel
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Marit E Jørgensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark.,National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark
| | - Jonathan C K Wells
- Childhood Nutrition Research Centre, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Gregers S Andersen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
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Forsum E, Eriksson B, Flinke E, Henriksson H, Henriksson P, Löf M. Fat and fat-free mass of healthy Swedish children show tracking during early life, but there are differences. Acta Paediatr 2019; 108:1704-1708. [PMID: 30830968 DOI: 10.1111/apa.14771] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/08/2019] [Accepted: 03/01/2019] [Indexed: 01/11/2023]
Abstract
AIM Obesity may start early in life. We investigated relationships between size and body composition variables in infancy and at 4 years of age using valid estimates of body composition. The results were compared to those obtained when body mass index (BMI) was used to estimate body fatness at 4 years. METHODS Using air displacement plethysmography, size, fat mass and fat-free mass were studied, between 2007 and 2015, in 253 full-term healthy Swedish children at 1 week, 12 weeks and 4 years of age. RESULTS Positive associations between variables in infancy and at 4 years were found at 1 and 12 weeks for weight, height, BMI, fat-free mass and fat-free mass index (p ≤ 0.002) and for fat mass, per cent body fat and fat mass index (p ≤ 0.04) at 12 weeks. Fat mass gained during infancy correlated positively (p ≤ 0.031) with per cent fat mass, fat mass index and BMI, all at 4 years. In girls, gains in fat-free mass during infancy correlated with BMI (p = 0.0005) at 4 years. CONCLUSION The results provide information regarding body composition trajectories during early life and demonstrate limitations of BMI as a proxy for body fatness when relating early weight gain to variables, relevant for later obesity risk.
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Affiliation(s)
- E Forsum
- Department of Clinical and Experimental Medicine Linköping University Linköping Sweden
| | - B Eriksson
- Department of Clinical and Experimental Medicine Linköping University Linköping Sweden
| | - E Flinke
- Department of Clinical and Experimental Medicine Linköping University Linköping Sweden
| | - H Henriksson
- Department of Medical and Health Sciences Linköping University Linköping Sweden
| | - P Henriksson
- Department of Medical and Health Sciences Linköping University Linköping Sweden
- Department of Biosciences and Nutrition Karolinska Institute Stockholm Sweden
| | - M Löf
- Department of Medical and Health Sciences Linköping University Linköping Sweden
- Department of Biosciences and Nutrition Karolinska Institute Stockholm Sweden
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20
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Abreu LRS, Shirley MK, Castro NP, Euclydes VV, Bergamaschi DP, Luzia LA, Cruz AM, Rondó PHC. Gestational diabetes mellitus, pre-pregnancy body mass index, and gestational weight gain as risk factors for increased fat mass in Brazilian newborns. PLoS One 2019; 14:e0221971. [PMID: 31465493 PMCID: PMC6715169 DOI: 10.1371/journal.pone.0221971] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/15/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common complication of pregnancy. It may predispose offspring to increased fat mass (FM) and the development of obesity, however few data from Latin America exist. OBJECTIVE To investigate the influence of GDM on newborn FM in mother-newborn pairs recruited from a public maternity care center in São Paulo, Brazil. METHODS Data were collected cross-sectionally in 2013-2014 from 72 mothers diagnosed with GDM, and 211 mothers with normal glucose tolerance (NGT). Newborn FM was evaluated by air-displacement plethysmography (PEA POD), and relevant demographic and obstetric data were collected from hospital records. Associations between maternal GDM status and newborn FM were investigated by multiple linear regression analysis, with adjustment for maternal age, pre-pregnancy BMI, gestational weight gain, type of delivery, sex of the child, and gestational age. RESULTS FM was greater in GDM versus NGT newborns in a bivariable model (Median (IQR), GDM: 0.35 (0.3) kg vs. NGT: 0.27 (0.2) kg, p = 0.02), however GDM status was not a significant predictor of FM with adjustment for other variables. Rather, pre-pregnancy BMI (coefficient (β) 1.46; 95% confidence interval (CI) 0.66, 2.27), gestational weight gain (β 1.32; 95% CI 0.49, 2.15), and male sex (β -17.8; 95% CI -27.2, -8.29) predicted newborn FM. Analyzing GDM and NGT groups separately, pre-pregnancy BMI (β 6.75; 95% CI 2.36, 11.1) and gestational weight gain (β 5.64; 95% CI 1.16, 10.1) predicted FM in the GDM group, while male sex alone predicted FM in the NGT group (β -12.3; 95% CI -18.3, -6.34). CONCLUSIONS Combined model results suggest that in our cohort, pre-pregnancy BMI and gestational weight gain are more important risk factors for increased neonatal FM than GDM. However, group-specific model results suggest that GDM status may contribute to variation in the relationship between maternal/offspring factors and FM. Our use of a binary GDM variable in the combined model may have precluded clearer results on this point. Prospective cohort studies including data on maternal pre-pregnancy BMI, GWG, and glycemic profile are needed to better understand associations among these variables and their relative influence on offspring FM.
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Affiliation(s)
- Laísa R. S. Abreu
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Meghan K. Shirley
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
- * E-mail:
| | - Natália P. Castro
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Verônica V. Euclydes
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Denise P. Bergamaschi
- Epidemiology Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Liania A. Luzia
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Ana M. Cruz
- Geraldo de Paula Souza Health Center, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Patrícia H. C. Rondó
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
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Wibaek R, Vistisen D, Girma T, Admassu B, Abera M, Abdissa A, Jørgensen ME, Kæstel P, Michaelsen KF, Friis H, Wells JCK, Andersen GS. Associations of fat mass and fat-free mass accretion in infancy with body composition and cardiometabolic risk markers at 5 years: The Ethiopian iABC birth cohort study. PLoS Med 2019; 16:e1002888. [PMID: 31430287 PMCID: PMC6701744 DOI: 10.1371/journal.pmed.1002888] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 07/16/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Accelerated growth in early childhood is an established risk factor for later obesity and cardiometabolic disease, but the relative importance of fat mass (FM) and fat-free mass (FFM) accretion is not well understood. We aimed to study how FM and FFM at birth and their accretion during infancy were associated with body composition and cardiometabolic risk markers at 5 years. METHODS AND FINDINGS Healthy children born at term were enrolled in the Infant Anthropometry and Body Composition (iABC) birth cohort between December 2008 and October 2012 at Jimma University Specialized Hospital in the city of Jimma, Ethiopia. FM and FFM were assessed using air displacement plethysmography a median of 6 times between birth and 6 months of age. In 507 children, we estimated individual FM and FFM at birth and their accretion over 0-3 and 3-6 months of age using linear-spline mixed-effects modelling. We analysed associations of FM and FFM at birth and their accretion in infancy with height, waist circumference, FM, FFM, and cardiometabolic risk markers at 5 years using multiple linear regression analysis. A total of 340 children were studied at the 5-year follow-up (mean age: 60.0 months; girls: 50.3%; mean wealth index: 45.5 out of 100; breastfeeding status at 4.5 to 6 months post-partum: 12.5% exclusive, 21.4% almost exclusive, 60.6% predominant, 5.5% partial/none). Higher FM accretion in infancy was associated with higher FM and waist circumference at 5 years. For instance, 100-g/month higher FM accretion in the periods 0-3 and 3-6 months was associated with 339 g (95% CI: 243-435 g, p < 0.001) and 367 g (95% CI: 250-484 g, p < 0.001) greater FM at 5 years, respectively. Higher FM at birth and FM accretion from 0 to 3 months were associated with higher FFM and cholesterol concentrations at 5 years. Associations for cholesterol were strongest for low-density lipoprotein (LDL)-cholesterol, and remained significant after adjusting for current FM. A 100-g higher FM at birth and 100-g/month higher FM accretion from 0 to 3 months were associated with 0.16 mmol/l (95% CI: 0.05-0.26 mmol/l, p = 0.005) and 0.06 mmol/l (95% CI: 0.01-0.12 mmol/l, p = 0.016) higher LDL-cholesterol at 5 years, respectively. Higher FFM at birth and FFM accretion in infancy were associated with higher FM, FFM, waist circumference, and height at 5 years. For instance, 100-g/month higher FFM accretion in the periods 0-3 and 3-6 months was associated with 1,002 g (95% CI: 815-1,189 g, p < 0.001) and 624 g (95% CI: 419-829 g, p < 0.001) greater FFM at 5 years, respectively. We found no associations of FM and FFM growth with any of the other studied cardiometabolic markers including glucose, HbA1c, insulin, C-peptide, HOMA-IR, triglycerides, and blood pressure. Non-attendance at the 5-year follow-up visit was the main limitation of this study, which may have introduced selection bias and limited the power of the regression analyses. CONCLUSIONS FM accretion in early life was positively associated with markers of adiposity and lipid metabolism, but not with blood pressure and cardiometabolic markers related to glucose homeostasis. FFM accretion was primarily related to linear growth and FFM at 5 years.
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Affiliation(s)
- Rasmus Wibaek
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
- * E-mail:
| | - Dorte Vistisen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Tsinuel Girma
- Department of Paediatrics and Child Health, Jimma University, Jimma, Ethiopia
- Jimma University Clinical and Nutrition Research Partnership (JUCAN), Jimma University, Jimma, Ethiopia
| | - Bitiya Admassu
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Jimma University Clinical and Nutrition Research Partnership (JUCAN), Jimma University, Jimma, Ethiopia
- Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Mubarek Abera
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Jimma University Clinical and Nutrition Research Partnership (JUCAN), Jimma University, Jimma, Ethiopia
- Department of Psychiatry, Jimma University, Jimma, Ethiopia
| | - Alemseged Abdissa
- Jimma University Clinical and Nutrition Research Partnership (JUCAN), Jimma University, Jimma, Ethiopia
- Department of Laboratory Sciences and Pathology, Jimma University, Jimma, Ethiopia
| | - Marit E. Jørgensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
- National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark
| | - Pernille Kæstel
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Kim F. Michaelsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan C. K. Wells
- Childhood Nutrition Research Centre, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
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