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Marini E, Stagi S, Cabras S, Comandini O, Ssensamba JT, Fewtrell M, Busert-Sebela L, Saville NM, Earthman CP, Silva AM, Wells JCK. Associations of bioelectrical impedance and anthropometric variables among populations and within the full spectrum of malnutrition. Nutrition 2024; 127:112550. [PMID: 39236522 DOI: 10.1016/j.nut.2024.112550] [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: 04/17/2024] [Revised: 07/04/2024] [Accepted: 07/28/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate body composition variability assessed by bioimpedance in relation to nutritional status assessed by anthropometry in children and adolescents living in countries characterized by contrasting nutritional conditions. METHODS The sample was comprised of 8614 children (4245 males; 4369 females), aged 3 to 19 years, from Nepal (477 children), Uganda (488 children and adolescents), UK (297 children and adolescents) and US (7352 children and adolescents). Height-for-age (HAZ) and body mass index-for-age (BAZ) z-scores were calculated according to WHO growth references. Specific bioelectrical impedance vector analysis (BIVA) was used to evaluate body composition variability. In each population sample, the relationship of HAZ and BAZ with bioelectrical outcomes was analysed by confidence ellipses and cubic spline regression, controlling for sex and age. RESULTS The participants from Uganda and Nepal were more affected by undernutrition, and those from the US and UK by obesity. In all groups, phase angle and specific vector length were weakly associated with HAZ, with null or opposite relationships in the different samples, whereas they were positively associated with BAZ. The stronger association was between vector length, indicative of the relative content of fat mass, and BAZ in the UK and US samples. Confidence ellipses showed that the relationships are more strongly related to phase angle in Nepalese and Ugandan samples. CONCLUSIONS Bioelectrical values were more strongly associated with BAZ than HAZ values in all population samples. Variability was more related to markers of muscle mass in Ugandan and Nepalese samples and to indicators of fat mass in UK and US samples. Specific BIVA can give information on the variability of body composition in malnourished individuals.
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Affiliation(s)
- Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy.
| | - Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy
| | - Stefano Cabras
- Department of Statistics, Universidad Carlos III de Madrid, Gefate, Spain
| | - Ornella Comandini
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy
| | - Jude Thaddeus Ssensamba
- Center for Innovations in Health Africa (CIHA Uganda), Kampala, Uganda; Makerere University Walter Reed Project (MUWRP), Kampala, Uganda
| | - Mary Fewtrell
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Laura Busert-Sebela
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Naomi M Saville
- Institute for Global Health, University College London, London, UK
| | - Carrie P Earthman
- Department of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, US
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
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Salas AA, Chetta K, Lach L, Katikaneni L, Itriago E, Hair AB, Moreira A, Bergner EM, Elabiad MT, Ramel SE. Race as social determinant of growth and body composition among infants born very preterm. Pediatr Res 2024:10.1038/s41390-024-03406-x. [PMID: 39034355 DOI: 10.1038/s41390-024-03406-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/03/2024] [Accepted: 06/27/2024] [Indexed: 07/23/2024]
Abstract
OBJECTIVE Racism leads to disparities in health outcomes. Our objective was to determine if black race was independently associated with differences in fat accretion at discharge in a large cohort of very preterm infants (32 weeks of gestation or less). METHODS De-identified demographic, anthropometric and body composition data were collected from seven neonatal units around the United States. Weight, length, and head circumference z-scores at birth and at the time of body composition assessment or hospital discharge were calculated. RESULTS The median gestational age and birthweight for this cohort (n = 888) were 29 weeks [IQR, 27-30] and 1167 g [SD, 354], respectively. The study population included 53% black preterm infants. Birthweight was lower in black preterm infants compared with white infants (1112 ± 334 g vs. 1228 ± 366 g; p < 0.0001). After adjusting for birthweight, gestational age, and birthweight-for-age z-score, black preterm infants had more weight gain (adjusted mean difference: 0.5 g/kg/day; p = 0.03) but not higher BF% z-scores at hospital discharge (adjusted mean: 1.2 vs. 1.3; p = 0.14) than white infants. CONCLUSIONS After adjusting for covariates, black race was associated with higher weight gain velocity but not higher BF% z-scores. IMPACT This study presents findings from a large-scale multicenter cohort. Racial differences were observed in birth weight and the rate of weight gain; however, these differences were not associated with dissimilarities in body composition outcomes. Understanding nutrition and growth outcomes across racial groups is necessary to combat racial disparities in the neonatal intensive care unit (NICU).
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Affiliation(s)
- Ariel A Salas
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Katherine Chetta
- Department of Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - Laura Lach
- Department of Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - Lakshmi Katikaneni
- Department of Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - Elena Itriago
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Amy B Hair
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Alvaro Moreira
- Department of Pediatrics, UT Health San Antonio, San Antonio, TX, USA
| | - Erynn M Bergner
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Mohamad T Elabiad
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Sara E Ramel
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
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Olsen IE, Granger M, Masoud W, Clark RH, Ferguson AN. Defining Body Mass Index Using Weight and Length for Gestational Age in the Growth Assessment of Preterm Infants at Birth. Am J Perinatol 2024; 41:e2735-e2743. [PMID: 37683671 DOI: 10.1055/s-0043-1774316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/10/2023]
Abstract
OBJECTIVE The objectives of this study were to describe (1) body mass indexes (BMIs) using weight and length for gestational age (GA) classifications, and (2) the additional information BMI, as a measure of body proportionality, provides for preterm infant growth assessment and care plans at birth. STUDY DESIGN Birth weight, length, and BMI of 188,646 preterm infants (24-36 weeks gestation) admitted to U.S. neonatal intensive care units (Pediatrix Clinical Data Warehouse, 2013-2018) were classified (Olsen curves) as small, appropriate, or large for GA (SGA < 10th, AGA 10-90th, LGA > 90th percentile for GA, respectively). The distribution for the 27 weight-length-BMI combinations was described. RESULTS At birth, most infants were appropriate for weight (80.0%), length (82.2%), head circumference (82.9%), and BMI (79.9%) for GA. Birth weight for GA identified approximately 20% of infants as SGA or LGA. Infants born SGA (or LGA) for both weight and length ("proportionate" in size) were usually appropriate for BMI (59.0% and 75.6%). BMI distinguished disproportionate weight for length in infants with SGA or LGA weight at birth (58.3%, 49.9%). BMI also identified 11.4% of AGA weight infants as small or large for BMI ("disproportionate" in size) at birth; only using weight for GA missed these underweight/overweight for length infants. CONCLUSION The unique, additional information provided by birth BMI further informs individualized preterm infant growth assessment by providing an assessment of an infant's body proportionality (weight relative to its length) in addition to the routine assessment of weight, length, and head circumference for GA and may better inform care plans and impact outcomes. KEY POINTS · Most preterm infants were born AGA for all growth measures.. · AGA weight infants may be under- or overweight for length.. · BMI distinguished body disproportionality in SGA/LGA infants.. · Recommend BMI assessed along with weight, length and head.. · Further research on BMI in preterm infants is needed..
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Affiliation(s)
- Irene E Olsen
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania
| | - Marion Granger
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
| | - Waleed Masoud
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
| | - Reese H Clark
- The Pediatrix Center for Research, Education, Quality, and Safety (CREQS), Pediatrix Medical Group, Inc., Sunrise, Florida
| | - A Nicole Ferguson
- School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia
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Razzaghy J, Zhang L, Yi N, Salas AA. Predicting body fat percentage at 36 weeks of postmenstrual age in infants born preterm: A diagnostic accuracy study. JPEN J Parenter Enteral Nutr 2023; 47:1056-1061. [PMID: 37709722 PMCID: PMC10843079 DOI: 10.1002/jpen.2561] [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: 11/23/2022] [Revised: 07/30/2023] [Accepted: 09/12/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Current standards for assessing body composition can be costly and technically challenging. There is a need for a predictive equation that combines multiple clinical and anthropometric factors to predictbody composition outcomes at 36 weeks of postmenstrual age (PMA) or discharge. METHODS To develop a widely applicable equation that predicts body fat percentage in preterm infants, we analyzed anthropometric data collected prospectively from a cohort of infants born very preterm between 2017 and 2018. We integrated clinical variables significantly associated with adiposity into a predictive equation using Bayesian linear regression models and leave-one-out cross-validation. RESULTS We analyzed data from 86 infants born at 32 weeks of gestation or less (median gestational age, 30 weeks; mean birthweight, 1471 ± 270 g). Weight gain and increase in length per week from birth to 36 weeks of PMA, midarm circumference at 36 weeks of PMA, male sex, and higher enteral fluid intake (>180 ml/kg/day) were the strongest predictors of body fat percentage in the model with the highest predictive value (R2 = 0.65). The correlation between actual and predicted body fat percentage using this Bayesian model was high (r = 0.82). CONCLUSIONS Weight gain and increase in length per week from birth to 36 weeks of PMA, midarm circumference at 36 weeks of PMA, male sex, and enteral fluid intake are significant predictors of body fat percentage at 36 weeks of PMA in very preterm infants.
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Affiliation(s)
- Jacqueline Razzaghy
- Department of Pediatrics, Division of Neonatology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Li Zhang
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Nengjun Yi
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Ariel A. Salas
- Department of Pediatrics, Division of Neonatology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
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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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Salas AA, Gunawan E, Nguyen K, Reeves A, Argent V, Finck A, Carlo WA. Early Human Milk Fortification in Infants Born Extremely Preterm: A Randomized Trial. Pediatrics 2023; 152:e2023061603. [PMID: 37551512 PMCID: PMC10471508 DOI: 10.1542/peds.2023-061603] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/10/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVES Enteral nutrition with unfortified human milk during the first 2 postnatal weeks often leads to cumulative protein and energy deficits among preterm infants. Fortified human milk administered soon after birth could increase fat-free mass (FFM) and improve growth in these infants. METHODS This was a masked, randomized trial. Starting on feeding day 2, extremely preterm infants 28 weeks or younger fed maternal or donor milk were randomized to receive either a diet fortified with a human-based product (intervention group) or a standard, unfortified diet (control group). This practice continued until the feeding day when a standard bovine-based fortifier was ordered. Caregivers were masked. The primary outcome was FFM-for-age z score at 36 weeks of postmenstrual age (PMA). RESULTS A total of 150 infants were randomized between 2020 and 2022. The mean birth weight was 795±250 g, and the median gestational age was 26 weeks. Eleven infants died during the observation period. The primary outcome was assessed in 105 infants (70%). FFM-for-age z scores did not differ between groups. Length gain velocities from birth to 36 weeks PMA were higher in the intervention group. Declines in head circumference-for-age z score from birth to 36 weeks' PMA were less pronounced in the intervention group. CONCLUSIONS In infants born extremely preterm, human milk diets fortified soon after birth do not increase FFM accretion at 36 weeks' PMA, but they may increase length gain velocity and reduce declines in head circumference-for-age z scores from birth to 36 weeks' PMA.
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Affiliation(s)
- Ariel A Salas
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Emily Gunawan
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kelly Nguyen
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Audrey Reeves
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Victoria Argent
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Amber Finck
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Waldemar A Carlo
- Department of Pediatrics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
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7
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Yumani DFJ, de Jongh D, Ket JCF, Lafeber HN, van Weissenbruch MM. Body composition in preterm infants: a systematic review on measurement methods. Pediatr Res 2023; 93:1120-1140. [PMID: 35995939 DOI: 10.1038/s41390-022-02262-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/20/2022] [Accepted: 07/24/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND There are several methods to measure body composition in preterm infants. Yet, there is no agreement on which method should be preferred. METHODS PubMed, Embase.com, Wiley/Cochrane Library, and Google Scholar were searched for studies that reported on the predictive value or validity of body composition measurements in preterms, up to 6 months corrected age. RESULTS Nineteen out of 1884 identified studies were included. Predictive equations based on weight and length indices, body area circumferences, skinfold thickness, bioelectrical impedance, and ultrasound did not show agreement with body composition measured with air displacement plethysmography (ADP), dual-energy x-ray absorptiometry (DXA), magnetic resonance imaging (MRI), or isotope dilution. ADP agreed well with fat mass density measured by isotope dilution (bias -0.002 g/ml, limits of agreement ±0.012 g/ml, n = 14). Fat mass percentage measured with ADP did not agree well with fat mass percentage measured by isotope dilution (limits of agreement up to ±5.8%) and the bias between measurements was up to 2.2%. DXA, MRI, and isotope dilution were not compared to another reference method in preterms. CONCLUSIONS DXA, ADP, and isotope dilution methods are considered trustworthy validated techniques. Nevertheless, this review showed that these methods may not yield comparable results. IMPACT Based on validation studies that were conducted in a limited number of study subjects, weight and length indices, body area circumferences, skinfold thickness, bioelectrical impedance, and ultrasound seem to be a poor representation of body composition in preterm infants. DXA, ADP, and isotope dilution methods are considered trustworthy and validated techniques. Nevertheless, these methods may not yield comparable results.
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Affiliation(s)
- Dana F J Yumani
- Department of Pediatrics, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Dide de Jongh
- Faculty of Science, VU University, Amsterdam, The Netherlands
- Faculty of Medical Ethics and Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | | | - Harrie N Lafeber
- Department of Pediatrics, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
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Brandon OC, Perez KM, Kolnik SE, Juul SE, Wood TR, Valentine GC. Increasing Sodium Variability in the First 96 Hours after Birth is Associated with Adverse In-Hospital Outcomes of Preterm Newborns. Curr Dev Nutr 2023; 7:100026. [PMID: 37181132 PMCID: PMC10100926 DOI: 10.1016/j.cdnut.2022.100026] [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: 09/07/2022] [Revised: 11/22/2022] [Accepted: 12/15/2022] [Indexed: 12/28/2022] Open
Abstract
Background Neonatal intraventricular hemorrhage prevention bundles for preterm infants commonly defer daily weighing for the first 72 h, with reweighing occurring on day 4. Clinicians rely on maintaining stable sodium values as a proxy of fluid status to inform fluid management decisions over the first 96 h after birth. Yet, there exists a paucity of research evaluating whether serum sodium or osmolality are appropriate proxies for weight loss and whether increasing variability in sodium or osmolality during this early transitional period is associated with adverse in-hospital outcomes. Objectives To evaluate whether serum sodium or osmolality change in the first 96 h after birth was associated with percent weight change from birth weight, and to assess potential associations between serum sodium and osmolality variability with in-hospital outcomes. Methods This retrospective, cross-sectional study included neonates born at ≤30 gestational weeks or ≤1250 g. We evaluated associations between serum sodium coefficient of variation (CoV), osmolality CoV, and maximal weight loss percentage in the first 96 h after birth with in-hospital neonatal outcomes. Results Among 205 infants, serum sodium and osmolality were poorly correlated with percent weight change in individual 24-h increments (R2 = 0.01-0.14). For every 1% increase in sodium CoV, there was an associated 2-fold increased odds of surgical necrotizing enterocolitis and 2-fold increased odds of in-hospital mortality (odds ratio, 2.07; 95% CI: 1.02, 4.54; odds ratio, 1.95; 95% CI: 1.10, 3.64, respectively). Sodium CoV was more strongly associated with outcomes than absolute sodium maximal change. Conclusions In the first 96 h, serum sodium and osmolality are poor proxies for assessing percent weight change. Increasing variability of serum sodium is associated with later development of surgical necrotizing enterocolitis and all-cause in-hospital mortality. Prospective research is needed to evaluate whether reducing sodium variability in the first 96 h after birth, as assessed by CoV, improves newborn health outcomes.
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Affiliation(s)
- Olivia C. Brandon
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
| | - Krystle M. Perez
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
| | - Sarah E. Kolnik
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
| | - Sandra E. Juul
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
- Center on Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Thomas R. Wood
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
| | - Gregory C. Valentine
- Division of Neonatology, University of Washington/Seattle Children’s Hospital, Seattle, WA, USA
- Department of Obstetrics & Gynecology at Baylor College of Medicine, Houston, TX, USA
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9
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Body composition measurement for the preterm neonate: using a clinical utility framework to translate research tools into clinical care. J Perinatol 2022; 42:1550-1555. [PMID: 36203085 PMCID: PMC9617782 DOI: 10.1038/s41372-022-01529-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/23/2022] [Accepted: 09/26/2022] [Indexed: 11/08/2022]
Abstract
Body composition analysis to distinguish between fat mass and fat-free mass is an established research approach to assess nutritional status. Within neonatal medicine, preterm infant body composition is linked with later health outcomes including neurodevelopment and cardiometabolic health. Mounting evidence establishing fat-free mass as an indicator of nutritional status, coupled with the availability of testing approaches that are feasible to use in preterm infants, have enhanced interest in measuring body composition in the neonatal intensive care unit (NICU) setting. In this paper, we use the concept of clinical utility-the added value of a new methodology over current standard care-as a framework for assessing several existing body composition methodologies with potential for clinical application to preterm neonates. We also use this framework to identify remaining knowledge gaps and prioritize efforts to advance our understanding of clinically-oriented body composition testing in the NICU.
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Casirati A, Somaschini A, Perrone M, Vandoni G, Sebastiani F, Montagna E, Somaschini M, Caccialanza R. Preterm birth and metabolic implications on later life: A narrative review focused on body composition. Front Nutr 2022; 9:978271. [PMID: 36185669 PMCID: PMC9521164 DOI: 10.3389/fnut.2022.978271] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
Preterm newborn infants are characterized by low body weight and lower fat mass at birth compared with full-term newborn neonates. Conversely, at term corrected age, body fat mass is more represented in preterm newborn infants, causing a predisposition to developing metabolic syndrome and cardiovascular diseases in later life with a different risk profile in men as compared with women. Postnatal growth is a complex change in anthropometric parameters and body composition. Both quantity and quality of growth are regulated by several factors such as fetal programming, early nutrition, and gut microbiota. Weight gain alone is not an optimal indicator of nutritional status as it does not accurately describe weight quality. The analysis of body composition represents a potentially useful tool to predict later metabolic and cardiovascular risk as it detects the quality of growth by differentiating between fat and lean mass. Longitudinal follow-up of preterm newborn infants could take advantage of body composition analysis in order to identify high-risk patients who apply early preventive strategies. This narrative review aimed to examine the state-of-the-art body composition among born preterm children, with a focus on those in the pre-school age group.
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Affiliation(s)
- Amanda Casirati
- Clinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- *Correspondence: Amanda Casirati,
| | - Alberto Somaschini
- Division of Cardiology and Cardiac Intensive Care Unit, San Paolo Hospital, Savona, Italy
| | - Michela Perrone
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulia Vandoni
- Clinical Nutrition, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy
| | - Federica Sebastiani
- Endocrinology and Metabolic Diseases, Azienda USL IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Elisabetta Montagna
- Clinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Riccardo Caccialanza
- Clinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
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Randomized Controlled Trial of Two Timepoints for Introduction of Standardized Complementary Food in Preterm Infants. Nutrients 2022; 14:nu14030697. [PMID: 35277055 PMCID: PMC8839701 DOI: 10.3390/nu14030697] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/01/2022] [Accepted: 02/05/2022] [Indexed: 02/04/2023] Open
Abstract
In term infants it is recommended to introduce solids between the 17th and 26th week of life, whereas data for preterm infants are missing. In a prospective, two-arm interventional study we investigated longitudinal growth of VLBW infants after early (10-12th) or late (16-18th) week of life, corrected for term, introduction of standardized complementary food. Primary endpoint was height at one year of age, corrected for term, and secondary endpoints were other anthropometric parameters such as weight, head circumference, BMI, and z-scores. Among 177 infants who underwent randomization, the primary outcome could be assessed in 83 (93%) assigned to the early and 83 (94%) to the late group. Mean birthweight was 941 (SD ± 253) g in the early and 932 (SD ± 256) g in the late group, mean gestational age at birth was 27 + 1/7 weeks in both groups. Height was 74.7 (mean; SD ± 2.7) cm in the early and 74.4 cm (mean; SD ± 2.8; n.s.) cm in the late group at one year of age, corrected for term. There were no differences in anthropometric parameters between the study groups except for a transient effect on weight z-score at 6 months. In preterm infants, starting solids should rather be related to neurological ability than to considerations of nutritional intake and growth.
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12
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Lin L, Gamble GD, Crowther CA, Bloomfield FH, Agosti M, Atkinson SA, Biasini A, Embleton ND, Lamy Filho F, Fusch C, Gianni ML, Kutman HGK, Koo W, Litmanovitz I, Morgan C, Mukhopadhyay K, Neri E, Picaud JC, Rochow N, Roggero P, Stroemmen K, Tan MJ, Tandoi FM, Wood CL, Zachariassen G, Harding JE. Sex-Specific Effects of Nutritional Supplements for Infants Born Early or Small: An Individual Participant Data Meta-Analysis (ESSENCE IPD-MA) II: Growth. Nutrients 2022; 14:nu14020392. [PMID: 35057573 PMCID: PMC8781781 DOI: 10.3390/nu14020392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/11/2022] [Accepted: 01/14/2022] [Indexed: 12/10/2022] Open
Abstract
Neonatal nutritional supplements may improve early growth for infants born small, but effects on long-term growth are unclear and may differ by sex. We assessed the effects of early macronutrient supplements on later growth. We searched databases and clinical trials registers from inception to April 2019. Participant-level data from randomised trials were included if the intention was to increase macronutrient intake to improve growth or development of infants born preterm or small-for-gestational-age. Co-primary outcomes were cognitive impairment and metabolic risk. Supplementation did not alter BMI in childhood (kg/m2: adjusted mean difference (aMD) -0.11[95% CI -0.47, 0.25], p = 0.54; 3 trials, n = 333). Supplementation increased length (cm: aMD 0.37[0.01, 0.72], p = 0.04; 18 trials, n = 2008) and bone mineral content (g: aMD 10.22[0.52, 19.92], p = 0.04; 6 trials, n = 313) in infancy, but not at older ages. There were no differences between supplemented and unsupplemented groups for other outcomes. In subgroup analysis, supplementation increased the height z-score in male toddlers (aMD 0.20[0.02, 0.37], p = 0.03; 10 trials, n = 595) but not in females, and no significant sex interaction was observed (p = 0.21). Macronutrient supplementation for infants born small may not alter BMI in childhood. Supplementation increased growth in infancy, but these effects did not persist in later life. The effects did not differ between boys and girls.
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Affiliation(s)
- Luling Lin
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand; (L.L.); (G.D.G.); (C.A.C.); (F.H.B.)
| | - Greg D. Gamble
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand; (L.L.); (G.D.G.); (C.A.C.); (F.H.B.)
| | - Caroline A. Crowther
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand; (L.L.); (G.D.G.); (C.A.C.); (F.H.B.)
| | - Frank H. Bloomfield
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand; (L.L.); (G.D.G.); (C.A.C.); (F.H.B.)
| | - Massimo Agosti
- NICU, Woman and Child Department, Ospedale Del Ponte, Insubria University, 21100 Varese, Italy; (M.A.); (F.M.T.)
| | - Stephanie A. Atkinson
- Department of Pediatrics, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.A.A.); (C.F.); (N.R.)
| | - Augusto Biasini
- Donor Human Milk Bank Italian Association (AIBLUD), 20126 Milan, Italy;
| | - Nicholas D. Embleton
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK;
| | - Fernando Lamy Filho
- Departamento de Medicina, Universidade Federal do Maranhão (UFMA), São Luís 65080-805, Brazil;
| | - Christoph Fusch
- Department of Pediatrics, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.A.A.); (C.F.); (N.R.)
- Department of Pediatrics, Nuremberg General Hospital, Paracelsus Medical University, 90471 Nuremberg, Germany
| | - Maria L. Gianni
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Commenda 12, 20122 Milan, Italy; (M.L.G.); (P.R.)
- Department of Clinical Sciences and Community Health, University of Milan, Via Commenda 19, 20122 Milan, Italy
| | | | - Winston Koo
- Department of Nutrition and Food Science, Wayne State University, Detroit, MI 48202, USA;
| | - Ita Litmanovitz
- Department of Neonatology, Meir Medical Center, Kfar Saba 4428164, Israel;
| | - Colin Morgan
- Department of Neonatology, Liverpool Women’s Hospital, Liverpool L8 7SS, UK;
| | - Kanya Mukhopadhyay
- Department of Pediatrics, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India;
| | - Erica Neri
- Department of Psychology, University of Bologna, 40126 Bologna, Italy;
| | - Jean-Charles Picaud
- Division of Neonatology, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, 69004 Lyon, France;
- CarMen Laboratory, INSERM, INRA, Claude Bernard University Lyon 1, 69310 Pierre Benite, France
| | - Niels Rochow
- Department of Pediatrics, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.A.A.); (C.F.); (N.R.)
- Department of Pediatrics, Nuremberg General Hospital, Paracelsus Medical University, 90471 Nuremberg, Germany
| | - Paola Roggero
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Commenda 12, 20122 Milan, Italy; (M.L.G.); (P.R.)
| | - Kenneth Stroemmen
- Department of Neonatal Intensive Care, Division of Paediatric and Adolescent Medicine, Rikshospitalet, Oslo University Hospital, 0188 Oslo, Norway;
| | - Maw J. Tan
- Department of Developmental Paediatrics, Alder Hey Children’s NHS Foundation Trust, Liverpool L12 2AP, UK;
| | - Francesco M. Tandoi
- NICU, Woman and Child Department, Ospedale Del Ponte, Insubria University, 21100 Varese, Italy; (M.A.); (F.M.T.)
| | - Claire L. Wood
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4AX, UK;
| | - Gitte Zachariassen
- H.C. Andersen Children’s Hospital, Odense University Hospital and University of Southern Denmark, 5000 Odense, Denmark;
| | - Jane E. Harding
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand; (L.L.); (G.D.G.); (C.A.C.); (F.H.B.)
- Correspondence: ; Tel.: +64-99236439
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13
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Doom JR, Reid BM, Nagel E, Gahagan S, Demerath EW, Lumeng JC. Integrating anthropometric and cardiometabolic health methods in stress, early experiences, and development (SEED) science. Dev Psychobiol 2021; 63:593-621. [PMID: 32901949 PMCID: PMC8113013 DOI: 10.1002/dev.22032] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 05/31/2020] [Accepted: 08/04/2020] [Indexed: 12/26/2022]
Abstract
Within Stress, Early Experiences, and Development (SEED) science, there is a growing body of research demonstrating complex associations not only between stress, development, and psychopathology, but also with chronic disease risk factors. We argue that it is important for SEED researchers to consider including child anthropometric and physical health measures to more comprehensively capture processes of risk and resilience. Broader adoption of harmonized anthropometry and health measures in SEED research will facilitate collaborations, yielding larger datasets for research in high-risk populations, and greater opportunity to replicate existing findings. In this review, we identify optimal anthropometric and cardiometabolic health measurement methods used from infancy through adolescence, including those that are low-burden and inexpensive. Methods covered include: waist, hip, and head circumference, height, length, weight, pubertal development, body composition, blood pressure, arterial stiffness, carotid intima media thickness, and serum measures of cardiometabolic risk and inflammation. We provide resources for SEED researchers to integrate these methods into projects or to better understand these methods when reading the literature as well as where to find collaborators for more in-depth studies incorporating these measures. With broader integration of psychological and physical health measures in SEED research, we can better inform theory and interventions to promote health and resilience in individuals who have experienced early stress.
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Affiliation(s)
- Jenalee R Doom
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Brie M Reid
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Emily Nagel
- Department of Food Science and Nutrition, University of Minnesota, Minneapolis, MN, USA
| | - Sheila Gahagan
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN, USA
| | - Julie C Lumeng
- Department of Pediatrics, Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
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14
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Nagel E, Desjardins C, Earthman C, Ramel S, Demerath E. Weight for length measures may not accurately reflect adiposity in preterm infants born appropriate for gestational age during hospitalisation or after discharge from the neonatal intensive care unit. Pediatr Obes 2021; 16:e12744. [PMID: 33140910 PMCID: PMC8026714 DOI: 10.1111/ijpo.12744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 09/19/2020] [Accepted: 10/05/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND Weight/length (W/L) indices are poor surrogates for adiposity in preterm infants born appropriate for gestational age (AGA) at birth, but whether the association subsequently improves is unknown. OBJECTIVE To determine if W/L indices accurately reflect adiposity in premature infants born AGA in later infancy. METHODS Associations between W/L indices and fat mass, fat mass index and percent body fat (%BF) obtained via air displacement plethysmography (ADP) were examined in 260 preterm infants (majority born AGA) at 28 to 63 weeks' postmenstrual age (PMA). Accuracy of W/L indices as indicators of adiposity was assessed by proportion of variance explained (R2 ) and root mean square error from linear regression of adiposity on W/L indices and proportion of infants misclassified by W/L indices. Accuracy was further compared in term vs preterm infants at term-equivalent age. The impact of early vs late preterm status on associations between W/L indices and %BF was also examined. RESULTS BMI and W/L were most strongly associated with %BF but yielded poorly fitting models (maximum R2 = 0.35; 53% misclassification). A significant interaction of W/L indices and early vs late preterm status on %BF revealed that estimation of %BF differs by status. Accuracy of W/L indices was worse in preterm infants at term-equivalent age. CONCLUSIONS W/L indices were not good indicators of adiposity in preterm infants from 28 to 63 weeks' PMA (born AGA) with all categories of W/L indices combined. Future research should examine whether results are similar in preterm infants born with disproportionate W/L or who experience disproportionate growth postnatally.
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Affiliation(s)
- Emily Nagel
- Department of Food Science and Nutrition, University of Minnesota-Twin Cities, Minneapolis, Minnesota,School of Public Health, University of Minnesota-Twin Cities, Minneapolis, Minnesota
| | | | - Carrie Earthman
- Department of Behavioral Health and Nutrition, University of Delaware, Newark, Delaware
| | - Sara Ramel
- Department of Pediatrics, University of Minnesota-Twin Cities, Minneapolis, Minnesota
| | - Ellen Demerath
- School of Public Health, University of Minnesota-Twin Cities, Minneapolis, Minnesota
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15
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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: 1.7] [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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16
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A comparative study using dual-energy X-ray absorptiometry, air displacement plethysmography, and skinfolds to assess fat mass in preterms at term equivalent age. Eur J Pediatr 2021; 180:919-927. [PMID: 33006007 PMCID: PMC7886735 DOI: 10.1007/s00431-020-03812-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/27/2020] [Accepted: 09/14/2020] [Indexed: 10/25/2022]
Abstract
The aim of this study was to compare whole body composition, generated by air displacement plethysmography (ADP) and dual-energy X-ray absorptiometry (DXA), and to evaluate the potential predictive value of the sum of skinfolds (∑SFT) for whole body composition, in preterm infants at term equivalent age. A convenience sample of sixty-five preterm infants with a mean (SD) gestational age of 29 (1.6) weeks was studied at term equivalent age. Fat mass measured by DXA and ADP were compared and the ability of the ∑SFT to predict whole body fat mass was investigated. There was poor agreement between fat mass percentage measured with ADP compared with DXA (limits of agreement: - 4.8% and 13.7%). A previously modeled predictive equation with the ∑SFT as a predictor for absolute fat mass could not be validated. Corrected for confounders, the ∑SFT explained 42% (ADP, p = 0.001) and 75% (DXA, p = 0.001) of the variance in fat mass percentage.Conclusions: The ∑SFT was not able to accurately predict fat mass and ADP and DXA did not show comparable results. It remains to be elucidated whether or not DXA provides more accurate assessment of whole body fat mass than ADP in preterm infants.Trial registration: NTR5311 What is Known: • Diverse methods are used to assess fat mass in preterm infants. What is New: • This study showed that there is poor agreement between dual-energy X-ray absorptiometry, air displacement plethysmography, and skinfold thickness measurements. • Our results affirm the need for consensus guidelines on how to measure fat mass in preterm infants, to improve the assimilation of data from different studies and the implementation of the findings from those studies.
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17
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Salas AA, Jerome ML, Chandler-Laney P, Ambalavanan N, Carlo WA. Serial assessment of fat and fat-free mass accretion in very preterm infants: a randomized trial. Pediatr Res 2020; 88:733-738. [PMID: 32634820 PMCID: PMC7581604 DOI: 10.1038/s41390-020-1052-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/26/2020] [Accepted: 06/26/2020] [Indexed: 12/03/2022]
Abstract
BACKGROUND Clinicians could modify dietary interventions during early infancy by monitoring fat and fat-free mass accretion in very preterm infants. METHODS Preterm infants were randomly assigned to either having reports on infant body composition available to the clinicians caring for them (intervention group) or not having reports available (control group). All infants underwent serial assessments of body composition by air-displacement plethysmography before 32 weeks of postmenstrual age (PMA) and at 36 weeks PMA. The primary outcome was percent body fat (%BF) at 3 months of corrected age (CA). RESULTS Fifty infants were randomized (median gestational age: 30 weeks; mean ± SD birth weight: 1387 ± 283 g). The mean %BF increased from 7 ± 4 before 32 weeks PMA to 20 ± 5 at 3 months CA. The differences in mean %BF between the intervention group and the control group were not statistically significant at 36 weeks PMA (14.5 vs. 13.6) or 3 months CA (20.8 vs. 19.4). Feeding practices and anthropometric measurements during hospitalization did not differ between groups. CONCLUSIONS Serial assessments of body composition in both intervention and control groups showed consistent increments in %BF. However, providing this information to clinicians did not influence nutritional practices or growth. IMPACT Serial assessments of body composition in preterm infants at 32 and 36 weeks postmenstrual age show consistent increments in % body fat up to 3 months of corrected age. However, providing this information to the clinician did not influence nutritional practices or growth.
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Affiliation(s)
- Ariel A Salas
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, 35249, USA.
| | - Maggie L Jerome
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
| | - Paula Chandler-Laney
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
| | | | - Waldemar A Carlo
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, 35249, USA
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19
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Maternal Socioeconomic Factors and Racial/Ethnic Differences in Neonatal Anthropometry. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17197323. [PMID: 33036433 PMCID: PMC7579630 DOI: 10.3390/ijerph17197323] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/25/2020] [Accepted: 09/30/2020] [Indexed: 12/29/2022]
Abstract
Disparities in birthweight by maternal race/ethnicity are commonly observed. It is unclear to what extent these disparities are correlates of individual socioeconomic factors. In a prospective cohort of 1645 low-risk singleton pregnancies included in the NICHD Fetal Growth Study (2009-2013), neonatal anthropometry was measured by trained personnel using a standard protocol. Socioeconomic characteristics included employment status, marital status, health insurance, annual income, and education. Separate adjusted generalized linear models were fit to both test the effect of race/ethnicity and the interaction of race/ethnicity and socioeconomic characteristics on neonatal anthropometry. Mean infant birthweight, length, head circumference, and abdominal circumference all differed by race/ethnicity (p < 0.001). We observed no statistically significant interactions between race/ethnicity and full-time employment/student status, marital status, insurance, or education in association with birthweight, neonatal exam weight, length, or head or abdominal circumference at examination. The interaction between income and race/ethnicity was significant only for abdominal circumference (p = 0.027), with no other significant interactions for other growth parameters, suggesting that racial/ethnic differences in neonatal anthropometry did not vary by individual socioeconomic factors in low-risk women. Our results do not preclude structural factors, such as lifetime exposure to poverty, as an explanation for racial/ethnic disparities.
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McNelis K, Liu C, Ehrlich S, Fields C, Fields T, Poindexter B. Body Composition of Very Low‐Birth‐Weight Infants Fed Fortified Human Milk: A Pilot Study. JPEN J Parenter Enteral Nutr 2020; 45:784-791. [DOI: 10.1002/jpen.1931] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/27/2020] [Accepted: 05/19/2020] [Indexed: 12/26/2022]
Affiliation(s)
- Kera McNelis
- Perinatal Institute Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
- Department of Pediatrics University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Chunyan Liu
- Division of Biostatistics and Epidemiology Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
| | - Shelley Ehrlich
- Division of Biostatistics and Epidemiology Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
- Department of Environmental Health College of Medicine University of Cincinnati Cincinnati Ohio USA
| | - Christopher Fields
- Division of Nutrition Therapy Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
- Neonatal Intensive Care Unit TriHealth Good Samaritan Hospital Cincinnati Ohio USA
| | - Trayce Fields
- Neonatal Intensive Care Unit TriHealth Good Samaritan Hospital Cincinnati Ohio USA
| | - Brenda Poindexter
- Perinatal Institute Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
- Department of Pediatrics University of Cincinnati College of Medicine Cincinnati Ohio USA
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21
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Nagel E, Hickey M, Teigen L, Kuchnia A, Holm T, Earthman C, Demerath E, Ramel S. Can Ultrasound Measures of Muscle and Adipose Tissue Thickness Predict Body Composition of Premature Infants in the Neonatal Intensive Care Unit? JPEN J Parenter Enteral Nutr 2020; 45:323-330. [DOI: 10.1002/jpen.1829] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 03/03/2020] [Indexed: 01/19/2023]
Affiliation(s)
- Emily Nagel
- Department of Food Science and Nutrition University of Minnesota–Twin Cities Minneapolis Minnesota USA
| | - Marie Hickey
- Department of Pediatrics University of Minnesota–Twin Cities Minneapolis Minnesota USA
| | - Levi Teigen
- Department of Gastroenterology University of Minnesota–Twin Cities Minneapolis Minnesota USA
| | - Adam Kuchnia
- Department of Nutritional Sciences University of Wisconsin–Madison Madison Wisconsin USA
| | - Tara Holm
- Department of Radiology University of Minnesota–Twin Cities Minneapolis Minnesota USA
| | - Carrie Earthman
- Department of Behavioral Health and Nutrition University of Delaware Newark Delaware USA
| | - Ellen Demerath
- School of Public Health University of Minnesota–Twin Cities Minneapolis Minnesota USA
| | - Sara Ramel
- Department of Pediatrics University of Minnesota–Twin Cities Minneapolis Minnesota USA
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22
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Nagel E, Hickey M, Teigen L, Kuchnia A, Curran K, Soumekh L, Earthman C, Demerath E, Ramel S. Clinical Application of Body Composition Methods in Premature Infants. JPEN J Parenter Enteral Nutr 2020; 44:785-795. [DOI: 10.1002/jpen.1803] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 01/08/2020] [Accepted: 01/15/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Emily Nagel
- Department of Food Science and NutritionUniversity of Minnesota‐Twin Cities Minneapolis MN USA
| | - Marie Hickey
- Department of PediatricsUniversity of Minnesota‐Twin Cities Minneapolis MN USA
| | - Levi Teigen
- Department of GastroenterologyUniversity of Minnesota‐Twin Cities Minneapolis MN USA
| | - Adam Kuchnia
- Department of Nutritional SciencesUniversity of Wisconsin‐Madison Madison WI USA
| | - Kent Curran
- Department of PediatricsAlbany Medical Center Albany NY USA
| | - Lisa Soumekh
- School of MedicineUniversity of Minnesota‐Twin Cities Minneapolis MN USA
| | | | - Ellen Demerath
- School of Public HealthUniversity of Minnesota‐Twin Cities Minneapolis MN USA
| | - Sara Ramel
- Department of PediatricsUniversity of Minnesota‐Twin Cities Minneapolis MN USA
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23
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Cordova EG, Belfort MB. Updates on Assessment and Monitoring of the Postnatal Growth of Preterm Infants. Neoreviews 2020; 21:e98-e108. [PMID: 32005720 DOI: 10.1542/neo.21-2-e98] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Assessing and monitoring the physical growth of preterm infants is fundamental to NICU care. The goals of nutritional care are to approximate the growth and body composition of the healthy fetus and to support optimal brain development while minimizing future cardiometabolic risk. Both poor and excessive growth predict adverse long-term health outcomes. Growth curves are clinical tools used to assess the preterm infant's growth status. Several growth curves for preterm infants were developed in the past decade. To use them effectively, clinicians need to understand how each growth curve was developed; the underlying reference population; intended use; and strengths and limitations. Intrauterine growth curves are references that use size at birth to represent healthy fetal growth. These curves serve 2 purposes-to assign size classifications at birth and to monitor postnatal growth. The INTERGROWTH-21 st preterm postnatal growth standards were developed to compare the postnatal growth of preterm infants to that of healthy preterm infants rather than the fetus. Individualized weight growth curves account for the water weight loss that frequently occurs after birth. In addition, body mass index (BMI) curves are now available. In this review, we discuss the main characteristics of growth curves used for preterm infants as well as the use of percentiles, z scores, and their change over time to evaluate size and growth status. We also review the differences in body composition between preterm infants at term-equivalent age and term-born infants and the potential role of monitoring proportionality of growth using BMI curves.
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Affiliation(s)
- Erika G Cordova
- Department of Medicine, Boston Children's Hospital, Boston, MA
| | - Mandy Brown Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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24
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Bell KA, Matthews LG, Cherkerzian S, Palmer C, Drouin K, Pepin HL, Ellard D, Inder TE, Ramel SE, Belfort MB. Associations of Growth and Body Composition with Brain Size in Preterm Infants. J Pediatr 2019; 214:20-26.e2. [PMID: 31377040 PMCID: PMC9131302 DOI: 10.1016/j.jpeds.2019.06.062] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 05/08/2019] [Accepted: 06/25/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To assess the association of very preterm infants' brain size at term-equivalent age with physical growth from birth to term and body composition at term. STUDY DESIGN We studied 62 infants born at <33 weeks of gestation. At birth and term, we measured weight and length and calculated body mass index. At term, infants underwent air displacement plethysmography to determine body composition (fat and fat-free mass) and magnetic resonance imaging to quantify brain size (bifrontal diameter, biparietal diameter, transverse cerebellar distance). We estimated associations of physical growth (Z-score change from birth to term) and body composition with brain size, adjusting for potential confounders using generalized estimating equations. RESULTS The median gestational age was 29 weeks (range, 24.0-32.9 weeks). Positive gains in weight and body mass index Z-score were associated with increased brain size. Each additional 100 g of fat-free mass at term was associated with larger bifrontal diameter (0.6 mm; 95% CI, 0.2-1.0 mm), biparietal diameter (0.7 mm; 95% CI, 0.3-1.1 mm), and transverse cerebellar distance (0.3 mm; 95% CI, 0.003-0.5 mm). Associations between fat mass and brain metrics were not statistically significant. CONCLUSIONS Weight and body mass index gain from birth to term, and lean mass-but not fat-at term, were associated with larger brain size. Factors that promote lean mass accrual among preterm infants may also promote brain growth.
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Affiliation(s)
- Katherine A Bell
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA.
| | - Lillian G Matthews
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
| | - Sara Cherkerzian
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
| | - Caroline Palmer
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
| | - Kaitlin Drouin
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
| | - Hunter L Pepin
- Department of Nutrition, Brigham & Women's Hospital, Boston, MA
| | - Deirdre Ellard
- Department of Nutrition, Brigham & Women's Hospital, Boston, MA
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
| | - Sara E Ramel
- Division of Neonatology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham & Women's Hospital, Boston, MA
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25
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Pereira-da-Silva L, Virella D, Fusch C. Nutritional Assessment in Preterm Infants: A Practical Approach in the NICU. Nutrients 2019; 11:E1999. [PMID: 31450875 PMCID: PMC6770216 DOI: 10.3390/nu11091999] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 08/21/2019] [Indexed: 12/17/2022] Open
Abstract
A practical approach for nutritional assessment in preterm infants under intensive care, based on anthropometric measurements and commonly used biochemical markers, is suggested. The choice of anthropometric charts depends on the purpose: Fenton 2013 charts to assess intrauterine growth, an online growth calculator to monitor intra-hospital weight gain, and Intergrowth-21st standards to monitor growth after discharge. Body weight, though largely used, does not inform on body compartment sizes. Mid-upper arm circumference estimates body adiposity and is easy to measure. Body length reflects skeletal growth and fat-free mass, provided it is accurately measured. Head circumference indicates brain growth. Skinfolds estimate reasonably body fat. Weight-to-length ratio, body mass index, and ponderal index can assess body proportionality at birth. These and other derived indices, such as the mid-upper arm circumference to head circumference ratio, could be proxies of body composition but need validation. Low blood urea nitrogen may indicate insufficient protein intake. Prealbumin and retinol binding protein are good markers of current protein status, but they may be affected by non-nutritional factors. The combination of a high serum alkaline phosphatase level and a low serum phosphate level is the best biochemical marker for the early detection of metabolic bone disease.
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Affiliation(s)
- Luis Pereira-da-Silva
- Medicine of Woman, Childhood and Adolescence, Faculdade de Ciências Médicas|NOVA Medical School, Unversidade Nova de Lisboa, 1169-056 Lisbon, Portugal.
- Dietetics and Nutrition, Lisbon Polytechnic Institute, Lisbon School of Health Technology, Av. Dom João II MB, 1990-094 Lisbon, Portugal.
- NICU, Hospital Dona Estefânia, Centro Hospitalar Universitário de Lisboa Central, 1169-045 Lisbon, Portugal.
| | - Daniel Virella
- NICU, Hospital Dona Estefânia, Centro Hospitalar Universitário de Lisboa Central, 1169-045 Lisbon, Portugal
| | - Christoph Fusch
- Nuremberg General Hospital, Department of Pediatrics, Paracelsus Medical University, Prof.-Ernst-Nathan-Straße 1, 90419 Nürnberg, Germany
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26
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Brion LP, Rosenfeld CR, Heyne R, Brown SL, Lair CS, Burchfield PJ, Caraig M. Adjustable feedings plus accurate serial length measurements decrease discharge weight-length disproportion in very preterm infants: quality improvement project. J Perinatol 2019; 39:1131-1139. [PMID: 31263201 DOI: 10.1038/s41372-019-0424-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 05/05/2019] [Accepted: 05/26/2019] [Indexed: 11/09/2022]
Abstract
BACKGROUND Preterm very-low-birth-weight (≤1500 g) infants exhibit disproportionate weight-for-length growth in the Neonatal Intensive Care Unit. LOCAL PROBLEM High frequency of body mass index (BMI) > 90th centile at discharge and 1-year postnatal age associated with elevated blood pressure and serum leptin in infancy and adolescence. METHODS Single-institution quality improvement project in appropriately grown infants born at 230/7-286/7 weeks gestational age and discharged home. INTERVENTION Adjustable feeding protocol based on valid serial length measurements (board or caliper). RESULTS The average monthly percentage of weight-for-length disproportion at discharge decreased from 13% in Epoch 1 to 0% in Epoch 2 (P < 0.05). Although the average Z-score for BMI at discharge was lower in Epoch 2 versus Epoch 1 (P < 0.01), this was absent by 1 year follow-up (P = 0.91). CONCLUSIONS Adjustable feedings plus use of accurate serial length measurements decreases weight-for-length disproportion at hospital discharge but not at 1 year.
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Affiliation(s)
- Luc P Brion
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Charles R Rosenfeld
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Roy Heyne
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Cheryl S Lair
- Parkland Hospital and Health System, Dallas, TX, USA
| | - Patti J Burchfield
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Maria Caraig
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
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27
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Longmore DK, Barr ELM, Lee IL, Barzi F, Kirkwood M, Whitbread C, Hampton V, Graham S, Van Dokkum P, Connors C, Boyle JA, Catalano P, Brown ADH, O'Dea K, Oats J, McIntyre HD, Shaw JE, Maple-Brown LJ. Maternal body mass index, excess gestational weight gain, and diabetes are positively associated with neonatal adiposity in the Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) study. Pediatr Obes 2019; 14:e12490. [PMID: 30650263 DOI: 10.1111/ijpo.12490] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 09/27/2018] [Accepted: 10/03/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND In-utero exposures likely influence the onset and severity of obesity in youth. With increasing rates of type 2 diabetes mellitus (T2DM) and maternal adiposity in pregnancy globally, it is important to assess the impact of these factors on neonatal adipose measures. OBJECTIVES To evaluate the contribution of maternal ethnicity, body mass index (BMI), gestational weight gain, and hyperglycaemia to neonatal adiposity. METHODS Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) is a longitudinal cohort study of Australian mother and neonate pairs. In this analysis, Indigenous (n = 519) and Europid (n = 358) women were included, of whom 644 had hyperglycaemia (type 2 diabetes [T2DM], diabetes in pregnancy [DIP], or gestational diabetes [GDM]). Associations between maternal ethnicity, hyperglycaemia, BMI and gestational weight gain, and the neonatal outcomes of length, head circumference, sum of skinfolds, total body fat, and percentage body fat were examined. Models were adjusted for maternal age, smoking status, parity, education, neonatal gender, and gestational age. RESULTS Among those with hyperglycaemia in pregnancy, Indigenous women had a higher proportion of T2DM and DIP (36%, 13%) compared with Europid women (4%, 3%). In multivariate analysis, maternal T2DM (compared with no hyperglycaemia), BMI during pregnancy, and excess compared with appropriate gestational weight gain, were significantly associated with greater neonatal measures. DIP was associated with greater sum of skinfolds, total body fat, and percentage body fat. Indigenous ethnicity was associated with greater sum of skinfolds. CONCLUSIONS Maternal BMI, excess gestational weight gain, and hyperglycaemia operated as independent factors influencing neonatal adiposity. Interventions addressing these factors are needed to reduce neonatal adiposity.
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Affiliation(s)
- Danielle K Longmore
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Department of Paediatrics, Western Health, Melbourne, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Baker Heart and Diabetes Institute, Melbourne, Australia
| | - I-Lynn Lee
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Cherie Whitbread
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Australia
| | - Vanya Hampton
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Sian Graham
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Paula Van Dokkum
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Baker Heart and Diabetes Institute, Alice Springs, Australia
| | | | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Alex D H Brown
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Kerin O'Dea
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - H David McIntyre
- Mater Medical Research Institute, University of Queensland, Brisbane, Australia
| | | | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Australia
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28
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Measuring body composition in the preterm infant: Evidence base and practicalities. Clin Nutr 2019; 38:2521-2530. [PMID: 30737045 DOI: 10.1016/j.clnu.2018.12.033] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 12/08/2018] [Accepted: 12/28/2018] [Indexed: 12/15/2022]
Abstract
Preterm birth and body composition have demonstrable effects on growth and later health outcomes. Preterm infants reach term equivalent age with a lower proportion of lean mass and higher body fat percentage than their term equivalent counterparts. Weight and length do not give an accurate assessment of body composition. Tracking body composition rather than just weight is a fundamental part of improving nutritional outcomes. This is important given the ongoing controversies regarding the nutritional needs of preterm infants, as well as establishing suitable targets for their growth. In this review we describe current methodologies used in the measurement of body composition of the preterm infant and the review the recent published evidence for their accuracy and utility. Current measurement techniques employed include air displacement plethysmography, bioelectrical impedance analysis, isotope dilution techniques, MRI and a combination of manual measurements including skinfold thickness, body mass index and mid upper arm/mid-thigh circumference. These measures allow for the estimation of fat mass, fat-free mass and regional assessment of adiposity. Some methods, such as dual-energy X-ray absorptiometry and air displacement plethysmography do allow for comparison of change in body composition over time in cohorts of preterm infants that may be studied over a longer period of time and into adult life. However, none of the currently described methods give an accurate and practically achievable method of obtaining body composition measures in preterm infants in day to day routine clinical practise, although this remains a key priority when decisions are being made about how best to feed.
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29
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Wilkes M, Thornton J, Horlick M, Sopher A, Wang J, Widen EM, Pierson R, Gallagher D. Relationship of BMI z score to fat percent and fat mass in multiethnic prepubertal children. Pediatr Obes 2019; 14:10.1111/ijpo.12463. [PMID: 30117308 PMCID: PMC6309265 DOI: 10.1111/ijpo.12463] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 06/06/2018] [Accepted: 06/29/2018] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The objective of the study is to examine the validity of body mass index z score (zBMI) as a measure of percent body fat in prepubertal children. METHODS One hundred eleven multiethnic, healthy, Tanner 1 children aged 6-12 years had fat percent and fat mass measured by the four-compartment method as part of the Paediatric Rosetta Body Composition Cohort. Multiple regression models were developed with fat percent as the dependent variable and zBMI, age, sex and ethnicity as independent variables. RESULTS Body mass index z score predicted fat percent, adjusted for age in both girls (P < 0.001, RMSE 5.67 and R2 0.54) and boys (P < 0.001, RMSE 4.71, R2 0.69). The average model percent error was 20.3% in girls and 21.6% in boys. zBMI2 predicted fat mass when adjusted for age and zBMI in both girls (P < 0.001, RMSE 2.27 and R2 0.82) and boys (P < 0.001, RMSE 2.08 and R2 0.81). The average percent error was 7.2% in girls and 8.7% in boys. Age was associated with percentage body fat (P < 0.01), while ethnicity was not (P > 0.05). CONCLUSIONS Given the relatively large error in the models, zBMI are not a useful indicator of fat mass in healthy, Tanner 1 children. zBMI2 scores are associated with significantly lower absolute percent errors in girls and boys.
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Affiliation(s)
- Meredith Wilkes
- New York Obesity Research Center, Dept. of Medicine,
College of Physicians and Surgeons, Columbia University,Department of Pediatrics, Icahn School of Medicine at Mount
Sinai,Department Pediatrics, College of Physicians and Surgeons,
Columbia University
| | - John Thornton
- Consultant,Previous member of the Body Composition Unit, St.
Luke’s-Roosevelt Hospital where data were collected
| | - Mary Horlick
- Previous member of the Body Composition Unit, St.
Luke’s-Roosevelt Hospital where data were collected
| | - Aviva Sopher
- Department Pediatrics, College of Physicians and Surgeons,
Columbia University
| | - Jack Wang
- Previous member of the Body Composition Unit, St.
Luke’s-Roosevelt Hospital where data were collected
| | - Elizabeth M. Widen
- New York Obesity Research Center, Dept. of Medicine,
College of Physicians and Surgeons, Columbia University,Department of Nutritional Sciences, University of Texas at
Austin
| | - Richard Pierson
- Previous member of the Body Composition Unit, St.
Luke’s-Roosevelt Hospital where data were collected
| | - Dympna Gallagher
- New York Obesity Research Center, Dept. of Medicine,
College of Physicians and Surgeons, Columbia University,Previous member of the Body Composition Unit, St.
Luke’s-Roosevelt Hospital where data were collected,Institute of Human Nutrition, College of Physicians and
Surgeons, Columbia University
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30
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Scheurer JM, Zhang L, Plummer EA, Hultgren SA, Demerath EW, Ramel SE. Body Composition Changes from Infancy to 4 Years and Associations with Early Childhood Cognition in Preterm and Full-Term Children. Neonatology 2018; 114:169-176. [PMID: 29898453 PMCID: PMC6083858 DOI: 10.1159/000487915] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 02/22/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND Infants born prematurely are at risk for neurodevelopmental complications. Early growth is associated with improved later cognition. The relationship of early proportionality and body composition with later cognition is not well established. OBJECTIVES To assess differences in fat-free mass and adiposity (fat mass, percent body fat) changes in preterm and full-term infants through preschool age and examine associations with early childhood cognition. METHODS This is a prospective, observational study in an appropriate for gestational age cohort of 71 patients (20 preterm and 51 full-term) from infancy through preschool age. Anthropometric and body composition measurements via air displacement plethysmography were obtained during infancy at term and 3-4 months (preterm corrected ages), and at 4 years. Cognitive testing occurred at 4 years. Associations of body composition changes between visits with cognitive function were tested using linear regression. RESULTS In the preterm group, higher term to 4-month corrected age percent body fat gains were associated with lower working memory performance (p = 0.01), and higher 4-month corrected age to 4-year fat-free mass gains were associated with higher full-scale IQ (p = 0.03) and speed of processing performance (p ≤ 0.02). In the full-term group, higher 4-month to 4-year fat mass gains were associated with lower full-scale IQ (p = 0.03). CONCLUSIONS Body composition gains during different time periods are associated with varying areas of cognitive function. These findings may inform interventions aimed at optimal growth.
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Affiliation(s)
- Johannah M Scheurer
- Division of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Lei Zhang
- Biostatistical Design and Analysis Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Erin A Plummer
- Division of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Solveig A Hultgren
- University of Minnesota Physicians, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ellen W Demerath
- Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sara E Ramel
- Division of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
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31
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Perng W, Ringham BM, Glueck DH, Sauder KA, Starling AP, Belfort MB, Dabelea D. An observational cohort study of weight- and length-derived anthropometric indicators with body composition at birth and 5 mo: the Healthy Start study. Am J Clin Nutr 2017; 106:559-567. [PMID: 28659296 PMCID: PMC5525117 DOI: 10.3945/ajcn.116.149617] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 05/24/2017] [Indexed: 12/30/2022] Open
Abstract
Background: Despite widespread use of weight- and length-based anthropometric indexes as proxies for adiposity, little is known regarding the extent to which they correspond with fat mass (FM) or fat-free mass (FFM) during infancy.Objective: This study aimed to examine associations of 3 derived indicators-weight-for-age z score (WFAZ), weight-for-length score (WFLZ), and body mass index z score (BMIZ)-with FM, percentage of FM, and FFM measured by air-displacement plethysmography during the first 5 mo of life.Design: Applying prospectively collected data from 1027 infants in a Colorado prebirth cohort, we used multivariate regression to evaluate associations between the derived indicators and body composition at birth and at 5 mo, and with change (Δ) during follow-up.Results: At birth, all 3 derived indicators were more strongly associated with FFM than with FM. Each unit of WFAZ corresponded with 0.342 kg FFM (95% CI: 0.331, 0.351 kg FFM), compared with 0.121 kg FM (95% CI: 0.114, 0.128 kg FM) (P < 0.0001); similar trends were observed for WFLZ and BMIZ. By 5 mo, WFLZ and BMIZ were more strongly associated with FM than with FFM, whereas WFAZ correlated similarly with the 2 components of body composition. ΔWFLZ and ΔBMIZ were both more strongly related to ΔFM than to ΔFFM; however, a direct comparison of the 2 indexes with respect to change in the percentage of FM indicated that ΔBMIZ was the optimal proxy of adiposity gain (P < 0.0001, pairwise difference).Conclusions: Weight- and length-based indexes are poor surrogates for newborn adiposity. However, at 5 mo, WFLZ and BMIZ are suitable proxies of FM. When assessing adiposity gain, ΔBMIZ is the best indicator of fat accrual during the first 5 postnatal months. This trial was registered at clinicaltrials.gov as NCT02273297.
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Affiliation(s)
- Wei Perng
- Departments of Nutritional Sciences and dana.dabelea@ucdenver
- Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI
| | - Brandy M Ringham
- Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO
| | - Deborah H Glueck
- Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO
| | - Katherine A Sauder
- Department of Pediatrics, School of Medicine, University of Colorado Denver - Anschutz Medical Campus, Denver, CO
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO; and
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado Denver - Anschutz Medical Campus, Denver, CO
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO; and
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32
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Demerath EW, Johnson W, Davern BA, Anderson CG, Shenberger JS, Misra S, Ramel SE. New body composition reference charts for preterm infants. Am J Clin Nutr 2017; 105:70-77. [PMID: 27806978 DOI: 10.3945/ajcn.116.138248] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 09/27/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The American Academy of Pediatrics (AAP) has recommended that nutritional management of the preterm infant should aim to achieve body composition that replicates the in utero fetus, but intrauterine body composition reference charts for preterm infants are lacking. OBJECTIVE Our objective was to create body composition reference curves for preterm infants that approximate the body composition of the in utero fetus from 30 to 36 wk of gestation. DESIGN A total of 223 ethnically diverse infants born at 30 + 0 to 36 + 6 wk of gestation were enrolled. Inclusion and exclusion criteria were specified so that the sample would represent healthy appropriately growing fetuses (e.g., singleton, birth weight appropriate for their gestational age, and medically stable). Cross-sectional reference values were generated for fat mass (FM), fat-free mass (FFM), and percentage body fat (PBF) by gestational age (GA), with the use of air-displacement plethysmography (ADP) and the lambda-mu-sigma method for percentile estimation. RESULTS GA-specific percentile values and a percentile and z score calculator for FFM, FM, and PBF are presented. These values aligned closely with ADP centile values published for term infants from 36 to 38 wk of gestation. The medians were also similar to the mean values for the reference fetus derived from chemical analysis previously. CONCLUSIONS To our knowledge, these are the first body composition reference charts for total FM and FFM at birth in preterm infants to assist in following AAP guidelines. Future work will test the clinical utility of body composition monitoring for improving nutritional management in this population. This trial was registered at clinicaltrials.gov as NCT02855814.
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Affiliation(s)
- Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, and
| | - William Johnson
- Medical Research Council Human Nutrition Research, Cambridge, United Kingdom
| | - Bridget A Davern
- Division of Neonatology, School of Medicine, University of Minnesota, Minneapolis, MN
| | | | | | - Sonya Misra
- Division of Neonatology, Santa Clara Valley Medical Center, San Jose, CA; and
| | - Sara E Ramel
- Division of Neonatology, School of Medicine, University of Minnesota, Minneapolis, MN
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