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 ◽  
...  

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).

Sports ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 85 ◽  
Author(s):  
Jennifer Fields ◽  
Justin Merrigan ◽  
Jason White ◽  
Margaret Jones

The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.


2019 ◽  
Vol 109 (5) ◽  
pp. 1353-1360 ◽  
Author(s):  
Tom Norris ◽  
Sara E Ramel ◽  
Patrick Catalano ◽  
Carol ni Caoimh ◽  
Paola Roggero ◽  
...  

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.


2019 ◽  
Vol 92 (1103) ◽  
pp. 20190300
Author(s):  
Andrew D. Weedall ◽  
Adrian J. Wilson ◽  
Sarah C. Wayte

Objective: To validate MRI fat measurement protocols using purpose built test objects and by comparison with air-displacement plethysmography (ADP) whole-body fat measurements in non-obese subjects. Methods: Test objects of known fat concentration were used to quantify the accuracy of the MRI measurements. 10 participants with a body mass index in the range 18–30 underwent whole-body MRI using two different Dixon-based sequences (LAVA Flex and IDEAL IQ) to obtain an estimate of their whole-body fat mass. The MRI determined fat mass was compared to the fat mass determined by ADP. Results: MRI test object measurements showed a high correlation to expected fat percentage (r > 0.98). The participant MRI and ADP results were highly correlated (r = 0.99) but on average (mean ± standard deviation) MRI determined a higher fat mass than ADP (3.8 ± 3.1 kg for LAVA Flex and 1.9 ± 3.2 kg for IDEAL IQ). There was no trend in the difference between MRI and ADP with total fat mass. Conclusion: The good agreement between MRI and ADP shows that Dixon-based MRI can be used effectively as a tool in physiological research for non-obese adults. Advances in knowledge: This work found that for ten non-obese subjects body mass index had no effect on the MRI determination of whole-body fat mass.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ana Paula dos Santos Rodrigues ◽  
Lorena Pereira Souza Rosa ◽  
Hugo Delleon da Silva ◽  
Elisângela de Paula Silveira-Lacerda ◽  
Erika Aparecida Silveira

Background. ThePPARG2Pro12Ala (rs1801282) andIL6-174G >C (rs1800795) have important function in body weight regulation and a potential role in obesity risk. We aimed to investigate the association betweenPPARG2Pro12Ala andIL6-174G >C variants and the genotypes interaction with body composition, metabolic markers, food consumption, and physical activity in severely obese patients.Methods. 150 severely obese patients (body mass index (BMI) ≥ 35 kg/m2) from Central Brazil were recruited. Body composition, metabolic parameters, physical activity, and dietary intake were measured. The genotype was determined by the qPCR TaqMan Assays System. Multiple linear regression and multiple logistic regression models were fitted adjusting for confounders.Results. Ala carriers of the Pro12Ala polymorphism had higher adiposity measures (BMI:p=0.031, and fat mass:p=0.049) and systolic blood pressure (p=0.026) compared to Pro homozygotes. We found no important associations between the -174G >C polymorphism and obesity phenotypes. When genotypes were combined, individuals with genotypes ProAla + AlaAla and GC + CC presented higher BMI (p=0.029) and higher polyunsaturated fatty acids (PUFAs) consumption (p=0.045) compared to the ones with genotypes ProPro and GG, and individuals carriers of thePPARG2Ala allele only (genotype ProAla + AlaAla and GG) had higher fat mass and systolic and diastolic blood pressure compared to the ones with genotypes ProPro and GG.Conclusions. Severely obese individuals carrying the Ala allele of thePPARG2Pro12Ala polymorphism had higher measures of adiposity and blood pressure, while no important associations were found for theIL6-174G >C polymorphism.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Emily Farina ◽  
Lauren Thompson ◽  
Joseph Knapik ◽  
Stefan Pasiakos ◽  
James McClung ◽  
...  

Abstract Objectives To determine whether usual energy intake and body composition are associated with attrition from an arduous military selection course characterized by energy deficit and strenuous physical events, including fitness tests, loaded road marches, runs, land navigation, and an obstacle course. Methods Energy intake and body composition were assessed in U.S. Army Soldiers (n = 776) at the start of a military assessment and selection course. Usual energy intake (kcal) over the previous year was estimated from a 127-item Block food frequency questionnaire. Body composition measures, including body mass (kg), body mass index (BMI, body mass in kg/height in m2), fat free mass index (FFMI, fat free mass in kg/height in m2), and fat mass index (FMI, fat mass in kg/height in m2) were assessed by calibrated scale and 3-site skinfold caliper measures. Associations between energy intake, body composition, and demographics were determined with analysis of variance. Logistic regression was used to determine likelihood of attrition [odds ratio (OR), 95% confidence interval (CI)] based on quartiles of energy intake and body composition. Models were adjusted for age, education, duration of aerobic exercise, duration of strength training, smoking status, and smokeless tobacco use. Results Soldiers that were younger (18–24 y), engaged in longer duration of aerobic exercise (≥200 min/wk) and strength training (≥400 min/wk), had more education (≥some college), and were smokeless tobacco users had higher energy intakes (P < 0.05). Higher energy intake was associated with higher body mass and FFMI (P < 0.05). After adjustment, Soldiers with higher energy intake, body mass, BMI, and FFMI were less likely to fail the strenuous course (Q1 vs. Q2, Q3, and Q4: OR range = 0.25–0.54; 95% CI lower bound range = 0.15–0.33; 95% CI upper bound range = 0.46–0.87). FMI was not associated with attrition. Conclusions Optimization of body composition by adequate consumption of calories prior to a physically demanding military selection course may be associated with reduced attrition. Funding Sources Supported by U.S. Army Medical Research and Materiel Command. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or reflecting the views of the Army or the Department of Defense. Supporting Tables, Images and/or Graphs


Medicina ◽  
2010 ◽  
Vol 46 (2) ◽  
pp. 129 ◽  
Author(s):  
Arvydas Stasiulis ◽  
Asta Mockienė ◽  
Daiva Vizbaraitė ◽  
Pranas Mockus

The objective of the study was to assess changes in body composition, blood lipid and lipoprotein concentrations in 18–24-year-old women during the period of two-month aerobic cycling training. Material and methods. Young, healthy, nonsmoking women (n=19) volunteered to participate in this study. They were divided in two groups: experimental (E, n=10) and control (C, n=9). The subjects of group E exercised 3 times a week with intensity of the first ventilatory threshold and duration of 60 min. The group C did not exercise regularly over a two-month period of the experiment. The subjects of group E were tested before and after 2, 4, 6 and 8 weeks of the experiment. The participants of group C were tested twice with an eight-week interval. Results. Body weight, body mass index, body fat mass, and triacylglycerol (TAG) concentration decreased and high-density lipoprotein cholesterol (HDL-ch) concentration increased after the 8-week training program in the experimental group (P<0.05). Blood total cholesterol (Tch) and low-density lipoprotein cholesterol (LDL-ch) concentrations did not change significantly. Body weight and body mass index started to decrease after 2 weeks of the experiment, but significant changes were observed only after 6 and 8 weeks. Body fat mass was significantly decreased after 2 and 8 weeks of aerobic training. A significant increase in HDL-ch concentration was observed after 4, 6, and 8 weeks. A significant decrease in TAG concentration was observed after 2-week training. No significant changes in all the parameters except TAG (it was slightly increased) were seen in the control group. Conclusions. The two-month aerobic cycling training (within VT1, 60-min duration, three times a week) may induce significant changes in the parameters of body composition – body weight, body mass index, body fat mass, and blood lipids – in young women. The following significant changes were observed: TAG level decreased after 2 weeks, body mass and body mass index decreased after 6 weeks, body fat mass decreased and HDL-ch level increased after 8 weeks. Peak oxygen uptake increased after 4 weeks.


Retos ◽  
2020 ◽  
pp. 539-546
Author(s):  
Luis Hebert Palma Pulido ◽  
Carlos Hernán Méndez Díaz ◽  
Alfonso Cespedes Manrrique ◽  
Jorge Andrés Castro Mejía ◽  
Alejandro Viveros Restrepo ◽  
...  

 El siguiente estudio, tuvo como finalidad, determinar la correlación entre la composición corporal y la condición física en niños de sexto grado de la Institución Educativa de Tuluá, Colombia. El estudio fue no experimental, descriptivo y de alcance correlacional. La valoración de la composición corporal, se realizó mediante el índice de masa corporal y el porcentaje de grasa (fórmula de Slaughter y Lohmann). La condición física, se determinó por medio de la batería Fitnessgram. La muestra fue de 193 niños y niñas, entre ocho y 12 años. Los resultados se determinaron, por medio de estadísticos descriptivos y correlación de Pearson. Estos resultados, evidenciaron una r=-0,52 y -0,72 para niño y niña respectivamente, entre el porcentaje de grasa y la capacidad cardiovascular. Las correlaciones entre el índice de masa corporal y peso corporal, con el porcentaje de grasa fueron, r=0,59 niña 0,76 y niño y r=0,46 niña y 0,67 niño respectivamente, indicando que, a mayor masa corporal mayor grasa. La correlación entre masa grasa y el test de barra fija fue inversa, pero no alta, r=-0,23 y -0,24, sin embaro, cuando este test se correlacionó con el índice de masa corporal, dicha correlación fue mayor, r=-0,57 y -0,78, reflejando que, la masa corporal, afectó la resistencia en la barra. La flexibilidad y agilidad, no se alteraron por la masa grasa, r < 0,20. Como conclusión, se evidencia que, la masa grasa puede disminuir la capacidad cardiovascular y resistencia a la fuerza, sin embargo, la flexibilidad y la velocidad-agilidad pueden no alterarse.  Abstract. The following study aimed at determining the correlation between body composition and physical condition in sixth grade students from the high school Institución Educativa Moderna in Tuluá, Colombia. It was carried as a non-experimental, descriptive, and correlational study. The assessment of body composition was carried out using the body mass index and the fat percentage based on Slaughter and Lohmann formula. Physical condition was determined by using the Fitnessgram battery. The sample consisted of 193 boys and girls, around eight and 12 years old. The results were determined by means of descriptive statistics and Pearson correlation. These results showed r = -0.52 and -0.72 for boys and girls respectively, after correlating the percentage of fat and cardiovascular capacity. The correlation of their body mass index and their body weight, towards the percentage of fat were: r = 0.59 girl, 0.76 boy and r = 0.46 girl and 0.67 boy respectively, indicating that, the higher the body mass the higher the increase of fat. The correlation between fat mass and the fixed bar test was inverse, but not high: r = -0.23 and -0.24. However, when this test was correlated with the body mass index, that correlation was higher: r = -0.57 and -0.78, reflecting that the body mass affected the resistance at the bar. Flexibility and agility were not altered by fat mass: r <0.20. In conclusion, it is evidenced that fat mass can decrease cardiovascular capacity and resistance to strength, however, flexibility and speed-agility may not be altered.


2003 ◽  
Vol 94 (6) ◽  
pp. 2368-2374 ◽  
Author(s):  
Marjolein Visser ◽  
Marco Pahor ◽  
Frances Tylavsky ◽  
Stephen B. Kritchevsky ◽  
Jane A. Cauley ◽  
...  

Changing body composition has been suggested as a pathway to explain age-related functional decline. No data are available on the expected changes in body composition as measured by dual-energy X-ray absorptiometry (DXA) in a population-based cohort of older persons. Body composition data at baseline, 1-yr follow-up, and 2-yr follow-up was measured by DXA in 2,040 well-functioning black and white men and women aged 70–79 yr, participants of the Health, Aging, and Body Composition Study. After 2 yr, a small decline in total body mass was observed (men: −0.3%, women: −0.4%). Among men, fat-free mass and appendicular lean soft tissue mass (ALST) decreased by −1.1 and −0.8%, respectively, which was masked by a simultaneous increase in total fat mass (+2.0%). Among women, a decline in fat-free mass was observed after 2 yr only (−0.6%) with no change in ALST and body fat mass. After 2 yr, the decline in ALST was greater in blacks than whites. Change in total body mass was associated with change in ALST ( r = +0.58 to +0.70; P < 0.0001). Among participants who lost total body mass, men lost relatively more ALST than women, and blacks lost relatively more ALST than whites. In conclusion, the mean change in body composition after a 1- to 2-yr follow-up was 1–2% with a high interindividual variability. Loss of ALST was greater in men compared with women, and greater in blacks compared with whites, suggesting that men and blacks may be more prone to muscle loss.


2018 ◽  
Vol 2 (73) ◽  
Author(s):  
Sandrija Čapkauskienė ◽  
Kristina Visagurskienė ◽  
Rima Bakienė ◽  
Irena Vitkienė ◽  
Daiva Vizbaraitė

Childhood obesity is a key public health issue around the globe in developed and developing countries (Dugan, 2008). The recent worldwide increase in the prevalence of childhood obesity may be due in part to a decrease in children’s physical activity levels (Ball et al., 2001). It is necessary to develop early interventions to improve physical fitness in children and to prevent the increase of childhood obesity (Brunet et al., 2006). So, the aim of this study was to evaluate the body composition and physical fitness of children aged 5—7 years and to estimate the interaction between body composition components and physical fitness tests. Participants: 216 children participated in this study: 104 girls, mean age 5.90 ± 0.63 years and 112 boys — mean age 5.98 ± 0.50 years from Kaunas city (Lithuania) preschools. Methods: all the subjects have been measured for their height, body mass, waist circumference (WC) and skinfolds at 2 different places — triceps and subscapular. Body mass index (BMI) and percentage body fat mass (BFM) were evaluated. All the participants did four physical fitness tests including speed shuttle run, 20 meters distance run, standing long jump and throwing 1 kg ball. General physical fitness level was evaluated based on B. Sekita (1988) methods. Results. Results showed that BMI did not significantly differ between boys and girls, and was evaluated as “optimal” for both groups. BFM was significantly higher in girls (p < 0.001), and WC did not differ between genders. But WC had a tendency to increase with age in both boys and girls. Strong relationship was observed between BMI and BFM (r = 0.660, r = 0.660 respectively; p < 0.01), and between BMI and WC (r = 0.703, r = 0.826 respectively; p < 0.01) for both boys and girls. The results of physical tests showed that boys did all the tests better than girls (p < 0.01). When we evaluated the general physical fitness of each child, the results indicated that their physical fitness waslow, evaluated as “good enough” for most boys and girls. General physical fitness of children negatively but slightly correlated with BFM (r = –0.201; p < 0.001), it indicated that higher BFM determined lower evaluation of general physical fitness.Conclusions. Optimal body weight, according to body mass index, percentage body fat mass and waist circumference, was established for the bigger part of children, aged 5—7 years old. This study shows that physical fitness of children was low — evaluated as “good enough” and negatively correlated with body fat mass, showing that high body fat mass negatively impacted physical fitness.Key words: body mass index, percentage body fat mass, waist circumference, physical fitness.


2019 ◽  
Vol 4 ◽  
pp. 105 ◽  
Author(s):  
Linda M. O'Keeffe ◽  
Abigail Fraser ◽  
Laura D. Howe

Correlations of body composition with height vary by age and sex during childhood. Standard approaches to accounting for height in measures of body composition (dividing by height (in meters)2) do not take this into account. Using measures of total body mass (TBM), fat mass (FM) and fat free mass (FFM) at ages nine, 11, 13, 15 and 18 years from a longitudinal UK cohort study (ALSPAC), we calculated indices of body composition at each age by dividing measures by height (in meters)2. We then produced age-and sex-specific powers of height using allometric regressions and calculated body composition indices by dividing measures by height raised to these powers. TBM, FM and FFM divided by height2 were correlated with height up-to age 11 in females. In males, TBM and FM divided by height2 were correlated with height up-to age 15 years while FM divided by height2 was correlated with height up-to age 11 years. Indices of body composition using age-and sex-specific powers were not correlated with height at any age. In early life, age-and sex-specific powers of height, rather than height in meters2, should be used to adjust body composition for height when measures of adiposity/mass independent of height are required.


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