Body composition in preterm infants with intrauterine growth restriction: a cohort study

2018 ◽  
Vol 46 (7) ◽  
pp. 804-810 ◽  
Author(s):  
Letícia Duarte Villela ◽  
Maria Dalva Barbosa Baker Méio ◽  
Saint Clair S. Gomes Junior ◽  
Andrea Dunshee de Abranches ◽  
Fernanda Valente Mendes Soares ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Preterm Infants ◽  
Fat Mass ◽  
Lean Mass ◽  
Gestational Age ◽  
Growth Patterns ◽  
Very Preterm Infants ◽  
Air Displacement Plethysmography ◽  
Appropriate For Gestational Age

Abstract Aims: The comparison of body composition parameters between the small for gestational age (SGA) and appropriate for gestational age (AGA) at term, 1, 3 and 5 months corrected ages in very preterm infants. Methods: This cohort study included 92 preterm infants at term age, younger than 32 weeks or <1500 g, classified in two groups: SGA and AGA. Anthropometry and body composition, estimated by air displacement plethysmography, were evaluated at the corrected ages: term and 1, 3, and 5 months. We used the lean mass/fat mass index (LM/FM) at each time point and the weight, length and head circumference SDS gain between the time points. Results: At term age, the SGA preterm infants had less lean mass (g), fat mass (g) and percent fat mass but a greater LM/FM index than AGA infants (P<0.001). At 1 month corrected age the LM/FM index and percent fat mass between the groups became similar. Lower lean mass persisted up to 3 months in the SGA group [4004 g (3256–4595) vs. 4432 g (3190–6246), P<0.001]. During the first month corrected age, the weight SDS gain was higher in SGA preterm infants when compared to AGA preterm infants. However, the SGA preterm infants remained lighter, shorter and with smaller head circumferences than the AGA preterm infants until 3 months of corrected age. Conclusions: The greater lean tissue deficits and an earlier “catch-up” in fat in the SGA group can reflect growth patterns variability since the early life.

scholarly journals New charts for the assessment of body composition, according to air-displacement plethysmography, at birth and across the first 6 mo of life

2019 ◽  
Vol 109 (5) ◽  
pp. 1353-1360 ◽  
Author(s):  
Tom Norris ◽  
Sara E Ramel ◽  
Patrick Catalano ◽  
Carol ni Caoimh ◽  
Paola Roggero ◽  
...  
Keyword(s):  
United States ◽  
Body Composition ◽  
Preterm Infants ◽  
Fat Mass ◽  
Gestational Age ◽  
The United States ◽  
Fat Free Mass ◽  
Term Infants ◽  
Air Displacement Plethysmography ◽  
Young Infants

ABSTRACT Background Air-displacement plethysmography (ADP) is a good candidate for monitoring body composition in newborns and young infants, but reference centile curves are lacking that allow for assessment at birth and across the first 6 mo of life. Objective Using pooled data from 4 studies, we aimed to produce new charts for assessment according to gestational age at birth (30 + 1 to 41 + 6 wk) and postnatal age at measurement (1–27 wk). Methods The sample comprised 222 preterm infants born in the United States who were measured at birth; 1029 term infants born in Ireland who were measured at birth; and 149 term infants born in the United States and 57 term infants born in Italy who were measured at birth, 1 and 2 wk, and 1, 2, 3, 4, 5, and 6 mo of age. Infants whose birth weights were <3rd or >97th centile of the INTERGROWTH-21st standard were excluded, thereby ensuring that the charts depict body composition of infants whose birth weights did not indicate suboptimal fetal growth. Sex-specific centiles for fat mass (kg), fat-free mass (kg), and percentage body fat were estimated using the lambda-mu-sigma (LMS) method. Results For each sex and measure (e.g., fat mass), the new charts comprised 2 panels. The first showed centiles according to gestational age, allowing term infants to be assessed at birth and preterm infants to be monitored until they reached term. The second showed centiles according to postnatal age, allowing all infants to be monitored to age 27 wk. The LMS values underlying the charts were presented, enabling researchers and clinicians to convert measurements to centiles and z scores. Conclusions The new charts provide a single tool for the assessment of body composition, according to ADP, in infants across the first 6 mo of life and will help enhance early-life nutritional management.

scholarly journals Cohort study of growth patterns by gestational age in preterm infants developing morbidity

BMJ Open ◽  
2016 ◽  
Vol 6 (11) ◽  
pp. e012872 ◽  
Author(s):  
S Klevebro ◽  
P Lundgren ◽  
U Hammar ◽  
L E Smith ◽  
M Bottai ◽  
...  
Keyword(s):  
Cohort Study ◽  
Preterm Infants ◽  
Gestational Age ◽  
Growth Patterns

scholarly journals Correction of Low Neonatal Vitamin D Status Using 1000 IU/d of Vitamin D Improved Body Composition (Lean Mass and Fat Mass) Compared to Using the Standard of Care by 6 Months of Age (P11-094-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Maryam Razaghi ◽  
Catherine Vanstone ◽  
Olusola Sotunde ◽  
Nathalie Gharibeh ◽  
Sarah Kimmins ◽  
...  
Keyword(s):  
Vitamin D ◽  
Body Composition ◽  
Fat Mass ◽  
Lean Mass ◽  
Gestational Age ◽  
Skin Color ◽  
Reference Group ◽  
Combined Treatment ◽  
Whole Body ◽  
Vitamin D Status

Abstract Objectives Vitamin D status is positively associated with lean mass phenotype in healthy infants born with sufficient vitamin D stores. The objective is to test whether rapid correction of low neonatal vitamin D status improves body composition (lean mass and fat mass) at 6 mo of age. Methods In a double-blinded randomized parallel group controlled trial (NCT02563015), healthy term neonates of appropriate weight for gestational age were recruited from Montreal. Capillary blood samples were collected 24–36 h post natally for measurement of serum 25-hydroxyvitamin D [25(OH)D] (Liaison, Diasorin Inc.). Infants with serum 25(OH)D < 50 nmol/L (n = 87) were randomized to receive 400 or 1000 IU/d until 6 mo of age. Those with 25(OH)D ≥ 50 nmol/L (n = 31) were recruited as a reference group, and received 400 IU/d. Anthropometry, lean mass and fat mass (dual-energy x-ray absorptiometry) were measured at baseline, 3 and 6 mo. Skin color was measured using a spectrophotometer. Differences between treatments and reference groups were tested using mixed model and repeated measures ANOVA accounting for the effects of sex, season of birth, skin color and gestational age (GA). Results Neonates (67 males, 51 females) were 39.6 ± 1wk GA and 3387 ± 371 g at birth. There were no differences between groups in lean mass or fat mass at baseline; nor in weight or length at any time-point. Combined treatment groups, had lower serum 25(OH)D concentrations at birth compared to the reference group (33 ± 11 vs. 69 ± 13 nmol/L, P < 0.0001). However, at 6 mo of age, serum 25(OH)D concentration was higher in the group receiving 1000 IU/d (n = 34), in comparison to the group receiving 400 IU/d (n = 29), and the reference (n = 19) group (125.0 ± 34.0, 82.2 ± 21.5 vs. reference 85.4 ± 32.1 nmol/L, P < 0.0001). Whole body lean mass was significantly different among groups (5071.3 ± 750.0, 4944.1 ± 616.3 and 5166.0 ± 645.4 g, respectively, P = 0.03), with infants in the treatment group provided a 400 IU/d supplement having a lower lean mass by 6 mo of age compared to the 1000 IU/d group. Fat mass was not different among groups following post-hoc testing (2967.0 ± 929.0 and 2962.0 ± 952.0, 2742.0 ± 754.0 g, P = 0.16). Conclusions Higher dosage supplementation of vitamin D rapidly improved vitamin D status and supported a leaner body phenotype in infancy. Funding Sources Canadian Institutes of Health Research.

The Relationship Between Body Composition, Glucose Metabolism, and Subtypes of Depressive Symptoms – Findings From the Helsinki Birth Cohort Study

2021 ◽  
Author(s):  
Mia D. Eriksson ◽  
Johan G. Eriksson ◽  
Päivi Korhonen ◽  
Minna K. Salonen ◽  
Tuija M. Mikkola ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Glucose Metabolism ◽  
Birth Cohort ◽  
Beck Depression Inventory ◽  
Fat Mass ◽  
Lean Mass ◽  
Birth Cohort Study ◽  
Fat Mass Index

Abstract Background There is an existing link between two of the most common diseases, obesity and depression. These are both of great public health concern, but little is known about the relationships between the subtypes of these conditions. We hypothesized that non-melancholic depressive symptoms have a stronger relationship with both body composition (lean mass and fat mass) and dysfunctional glucose metabolism than melancholic depression. Methods For this cross-sectional study 1 510 participants from the Helsinki Birth Cohort Study had their body composition evaluated as lean mass and fat mass (Lean Mass Index + Fat Mass Index = Body Mass Index). Participants were evaluated for depressive symptoms utilizing the Beck Depression Inventory, and had laboratory assessments including an oral glucose tolerance test. Results Higher than average Fat Mass Index (kg/m2) was associated with a higher percentage of participants scoring in the depressive range of the Beck Depression Inventory (p=0.048). Higher Fat Mass Index was associated with a higher likelihood of having depressive symptoms (OR per 1-SD Fat Mass Index=1.37, 95% CI: 1.13-1.65), whereas higher Lean Mass Index (kg/m2) was associated with a lower likelihood of having depressive symptoms (OR per 1-SD Lean Mass Index=0.76, 95% CI: 0.64-0.91). Participants with an above average Fat Mass Index more frequently had non-melancholic depressive symptoms (p=0.008) regardless of Lean Mass Index levels (p=0.38). There was no difference between the body composition groups in the likelihood of having melancholic depressive symptoms (Fat Mass Index p=0.83, Lean Mass Index p=0.93). The non-melancholic group had higher Fat Mass Index than either of the other groups (p<0.001), and a higher 2-hour glucose concentration than the non-depressed group (p=0.005). Conclusion As hypothesized, non-melancholic depressive symptoms are most closely related to high fat mass index and dysfunctional glucose metabolism.

scholarly journals Fetal and Postnatal Growth and Body Composition at 6 Months of Age

2009 ◽  
Vol 94 (6) ◽  
pp. 2023-2030 ◽  
Author(s):  
Lamise Ay ◽  
Vera A. A. Van Houten ◽  
Eric A. P. Steegers ◽  
Albert Hofman ◽  
Jacqueline C. M. Witteman ◽  
...  
Keyword(s):  
Body Composition ◽  
Fat Mass ◽  
Lean Mass ◽  
Postnatal Growth ◽  
Growth Patterns ◽  
Fetal Life ◽  
Third Trimester ◽  
Fetal Ultrasound ◽  
The Third ◽  
Catch Up

Abstract Objectives: The objectives of the study was to examine which parental, fetal, and postnatal characteristics are associated with fat and lean mass at the age of 6 months and examine the effect of growth (catch-down, catch-up) in fetal life and early infancy on fat and lean mass. Design: This study was embedded in the Generation R Study, a prospective cohort study from early fetal life onward. Body composition was measured by dual-energy X-ray absorptiometry in 252 infants at 6 months. Parental, fetal, and postnatal data were collected by physical and fetal ultrasound examinations and questionnaires. Results: Children with fetal catch-up in weight (gain in weight sd score &gt;0.67) in the second trimester tended to have a higher fat mass percentage [FM(%)] at 6 months of age, whereas children with fetal catch-down in weight had a lower FM(%) compared with nonchangers. In the third trimester, both catch-up and catch-down in weight were associated with an increase in FM(%) at 6 months. Children with catch-down in the third trimester had a greater risk for postnatal catch-up in weight greater than 0.67 sd score. Birth weight and weight at 6 wk were positively associated with fat mass at 6 months. Postnatal catch-up in weight within 6 wk after birth had the highest association with total and truncal FM(%) at 6 months. Total and truncal FM were higher in girls. Conclusion: Catch-down in weight in the third trimester was strongly associated with postnatal catch-up within 6 wk after birth, and both were associated with an increase in fat mass at the age of 6 months. Our study shows that fetal as well as postnatal growth patterns are associated with body composition in early childhood.

Growth patterns in preterm infants born appropriate for gestational age

2008 ◽  
Vol 44 (6) ◽  
pp. 332-337 ◽  
Author(s):  
Pamela Dodrill ◽  
Geoff Cleghorn ◽  
Tim Donovan ◽  
Peter Davies
Keyword(s):  
Preterm Infants ◽  
Gestational Age ◽  
Growth Patterns ◽  
Appropriate For Gestational Age

Associations of Measured Protein and Energy Intakes with Growth and Adiposity in Human Milk-Fed Preterm Infants at Term Postmenstrual Age: A Cohort Study

2018 ◽  
Vol 35 (09) ◽  
pp. 882-891 ◽  
Author(s):  
Luis Pereira-da-Silva ◽  
Manuela Cardoso ◽  
Israel Macedo
Keyword(s):  
Body Composition ◽  
Weight Gain ◽  
Human Milk ◽  
Preterm Infants ◽  
Fat Mass ◽  
Lower Energy ◽  
Nutrient Intakes ◽  
Air Displacement Plethysmography ◽  
Protein Energy ◽  
Postmenstrual Age

Objective To determine the associations of measured protein, energy, and protein-to-energy (PER) intakes with body composition in human milk (HM)-fed preterm infants. Study Design Neonates born at < 33 gestational weeks were eligible. Standard fortification method with modular supplements was used and the HM composition was measured. The weight gain velocity was calculated, and body composition was assessed by air displacement plethysmography at 40 weeks' postmenstrual age (PMA). The fat mass percentage and fat mass index were used as indicators of adiposity, with convenience cut-offs ≤ –1 and ≥ + 1 z-scores for low and high adiposity, respectively. Results Thirty-three infants were included (median [interquartile range] gestational age: 30 [28–31] weeks; birth weight: 1.175 [1.010–1.408] g); 36.4 and 84.8% did not receive the minimum recommended protein and energy intakes, respectively. Weight gain velocity showed positive weak-to-moderate correlations with nutrient intakes. Overall, no correlations between nutrient intakes and body composition were found. Infants with lower adiposity received lower energy, protein, and PER intakes, while those with higher adiposity received lower energy intake but higher PER intake. Conclusion Overall, no correlations of nutrient intakes with body composition were found; however, differences in nutrient intakes were found between infants with lower and higher adiposity at term PMA.

scholarly journals The influence of birth order and number of siblings on adolescent body composition: evidence from a Brazilian birth cohort study

2015 ◽  
Vol 114 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Fernanda de Oliveira Meller ◽  
M. C. F. Assunção ◽  
A. A. Schäfer ◽  
C. L. de Mola ◽  
A. J. D. Barros ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Birth Order ◽  
Birth Cohort ◽  
Fat Mass ◽  
Perinatal Period ◽  
Fat Free Mass ◽  
Birth Cohort Study ◽  
Fat Mass Index ◽  
Air Displacement Plethysmography

The aim of this study was to estimate the association between birth order and number of siblings with body composition in adolescents. Data are from a birth cohort study conducted in Pelotas, Brazil. At the age of 18 years, 4563 adolescents were located, of whom 4106 were interviewed (follow-up rate 81·3 %). Of these, 3974 had complete data and were thus included in our analysis. The variables used in the analysis were measured during the perinatal period, or at 11, 15 and/or 18 years of age. Body composition at 18 years was collected by air displacement plethysmography (BOD POD®). Crude and adjusted analyses of the association between birth order and number of siblings with body composition were performed using linear regression. All analyses were stratified by the adolescent sex. The means of BMI, fat mass index and fat-free mass index among adolescents were 23·4 (sd 4·5) kg/m2, 6·1 (sd 3·9) kg/m2 and 17·3 (sd 2·5) kg/m2, respectively. In adjusted models, the total siblings remained inversely associated with fat mass index (β = − 0·37 z-scores, 95 % CI − 0·52, − 0·23) and BMI in boys (β = − 0·39 z-scores, 95 % CI − 0·55, − 0·22). Fat-free mass index was related to the total siblings in girls (β = 0·06 z-scores, 95 % CI − 0·04, 0·17). This research has found that number of total siblings, and not birth order, is related to the fat mass index, fat-free mass index and BMI in adolescents. It suggests the need for early prevention of obesity or fat mass accumulation in only children.

scholarly journals Differential Effect of Growth on Development between AGA and SGA Preterm Infants

2020 ◽  
Vol 17 (9) ◽  
pp. 3022
Author(s):  
In Gyu Song ◽  
Ee-Kyung Kim ◽  
Hannah Cho ◽  
Seung Han Shin ◽  
Jin A. Sohn ◽  
...  
Keyword(s):  
Preterm Infants ◽  
Gestational Age ◽  
Physical Growth ◽  
Growth Spurt ◽  
Z Score ◽  
Neurodevelopmental Outcomes ◽  
Important Indicator ◽  
Very Preterm Infants ◽  
Growth Measurement ◽  
Appropriate For Gestational Age

Predicting developmental outcomes with growth measurement would be beneficial for primary healthcare or in developing countries with low medical resources. This study aimed to identify physical growth measures that indicate neurodevelopment in very preterm infants. Preterm infants, born at <32 weeks’ gestation or weighing <1500 g, were included. We calculated the changes in z-score of weight, length, and head circumference (HC) at different time points: birth, postmenstrual age (PMA) 35 weeks, and 4 and 18 months corrected age (CA). We examined the relationship between growth and Bayley-III scores using linear regression. Among 122 infants, HC at 4 months CA and HC growth between PMA 35 weeks and 4 months CA showed a positive correlation with Bayley-III scores in appropriate-for-gestational-age infants (AGAs). Weight and length increases between birth and 18 months CA were also associated with AGAs’ development. In small-for-gestational-age infants (SGAs), only birthweight’s z-score was associated with improved neurodevelopmental outcomes. HC at 4 months CA was an important indicator of favorable neurodevelopmental outcomes, and head growth spurt between PMA 35 weeks and 4 months CA contributed to this benefit in preterm AGAs. The period and indices should be monitored differently for SGAs and AGAs.

scholarly journals Neonatal body composition: crossectional study in healthy term singletons in Germany

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Cornelia Wiechers ◽  
Sara Kirchhof ◽  
Lena Balles ◽  
Vanessa Avelina ◽  
Romy Weber ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Gestational Age ◽  
Total Body Mass ◽  
Air Displacement Plethysmography ◽  
Neonatal Body Composition ◽  
Gestational Age At Birth ◽  
Age At Birth

Abstract Background During pregnancy, a variety of factors can influence fetal growth and development. Intrauterine growth may impact on later life and health. Neonatal body composition may be a more sensitive marker for the intrauterine environment than established anthropometric parameters at birth. Methods To study neonatal body composition determined by air displacement plethysmography in healthy, term singletons as national reference data, and to establish factors impacting on neonatal body composition in this population. This prospective cross-sectional observational study included 271 healthy, full-term, singletons born between June 2014 and July 2015. Body composition was measured within 96 h of birth using air displacement plethysmography. Results Median (Q1, Q2) fat mass / total body mass (BF%) in German singletons was 10.8% (7.7–13.4) and fat free mass (FFM) 2843 g (2606–3099). Female infants had significantly increased BF% compared to male infants (11.2% (8.7–14.0) vs. 9.6% (7.2–12.1)). On multiple regression analysis, BF% and fat mass increased with female gender, maternal pre-pregnancy body mass index, non-smoking mother and parity, whereas FFM increased with male gender and increasing gestational age at birth. Gestational weight gain category, birth mode, and postnatal age at measurement were not associated with BF%, FFM or fat mass. Conclusions We generated BF% and FFM centiles for healthy, term, singletons born in Germany; these are similar to those found in other European countries. Infant body composition at birth was associated with modifiable (pre-pregnancy body mass index, smoking), and given factors (gender, gestational age at birth, parity).

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