scholarly journals Bioimpedance analysis of body composition in the diagnosis of physical development disorders in children and adolescents

2021 ◽  
Author(s):  
MYu Gavryushin ◽  
OV Sazonova ◽  
DO Gorbachev ◽  
LM Borodina ◽  
OV Frolova ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Physical Development ◽  
The Body ◽  
Excess Body Weight ◽  
Body Fat Percentage ◽  
Bioimpedance Analysis ◽  
Fat Percentage ◽  
Regional Regression

Traditionally, anthropometric method is used in clinical practice for the diagnosis of excess body weight. Obesity is the excess development of primarily visceral and subcutaneous adipose tissue, which can be diagnosed by bioimpedance analysis (BIA). The study was aimed to assess the role of BIA of body composition in the diagnosis of the physical development disorders in children and adolescents. Anthropometric assessment and BIA were performed in 431 Samara school students aged 12–16 of the health status groups I and II (230 boys and 201 girls). The results were analyzed with the use of the regional regression scores, BAZ indices, and the body fat percentage values. The results of estimation using the regression scores showed that 22.61% of boys and 23.43% of girls were overweight, while more than 2/3 of the sample had a normal pattern of physical development. The BAZ indices revealed a significantly higher proportion of overweight children among boys (25.7%), than among girls (11.5%, p < 0.01). The body fat percentage fluctuations based on the BIA data were found not only in children with disharmonious physical development, but also in 60% of children with normal body weight. Moreover, the data of BIA confirmed the body weight fluctuations, revealed with the use of the regression scores, in the significantly larger number of cases compared to the low body weight and excess body weight, diagnosed based on the BAZ indices. Accordingly, anthropometric analysis with the use of the regional regression scores may be used at the baseline for the early diagnosis of the nutritional status disorders in children. To confirm overweight and obesity in children, as well as to provide further treatment, the reliable method for estimation of the body fat content is required, which may be the method of BIA.

scholarly journals Body Composition Changes of United States Smokejumpers during the 2017 Fire Season

Fire ◽  
2018 ◽  
Vol 1 (3) ◽  
pp. 48 ◽  
Author(s):  
Callie Collins ◽  
Randall Brooks ◽  
Benjamin Sturz ◽  
Andrew Nelson ◽  
Robert Keefe
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Test Body ◽  
The Body ◽  
Fire Season ◽  
Physical Work ◽  
Body Fat Percentage ◽  
Percentage Increase ◽  
Fat Percentage

Wildland firefighting is arduous work with extreme physical and nutritional demands that often exceeds those of athletes competing in sports. The intensity and duration of job demands, impacts the amount of calories burned, which can influence body composition. The purpose of this study was to determine if the body composition of nine wildland firefighters working as smokejumpers changed throughout the 2017 fire season. Subjects (n = 9) for the study ranged in age from 24–49 (age 30.1 ± 8.3 y). Height (177 ± 18.8 cm) and weight (81.32 ± 6.39 kg) was recorded during initial body composition testing and body fat percentage was determined pre and post-season using Lange skinfold calipers. Outcomes were evaluated using a paired t-test. Body fat percentage was significantly different between pre and post-season (average body fat percentage increase = 1.31%; t = 2.31, p = 0.04, alpha = 0.05). Body weight increased slightly from pre to post-season (average increase in body weight: 0.17 kg), although the differences were not significant (t = 2.31, p = 0.78). Change in body fat percentage without change in body weight suggest that monitoring of WLFF body composition and fitness may be needed help inform dietary and fitness interventions to insure that nutritional demands of this population are sufficient to support physical work on the fireline.

scholarly journals Associations between folate intake, body composition, and liver status in healthy adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Monika Młodzik-Czyżewska ◽  
Anna Malinowska ◽  
Agata Chmurzynska
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Fatty Liver ◽  
Body Mass ◽  
Body Fat ◽  
Liver Steatosis ◽  
Folate Intake ◽  
Whole Body ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractA link has recently been underlined between one-carbon metabolism and body weight and body composition, suggesting that folate may account for body mass determination and lipid metabolism. The aim of this study was thus to analyze whether folate intake is associated with body weight, body mass index (BMI), body fat percentage, and liver status.409 subjects aged 20–40 were enrolled in Poznań, Poland from 2016 to 2018. Food intake was assessed using three-day food records. Folate intake was calculated based on food composition tables using the Diet 5.0 program (National Food and Nutrition Institute, Poland). Weight to 0.1 kg and height to 0.01 m were measured using an electronic scale and a stadiometer, respectively. BMI was calculated as body weight in kilograms divided by height in meters squared. Fat mass and lean body mass were determined using whole-body air-displacement plethysmography (BodPod, Cosmed, Italy). Genotyping of rs1801133 (MTHFR) was performed with TaqMan probes. The following biomarkers of liver steatosis were calculated: NAFLD liver fat score (NAFLD-LFS), fatty liver index (FLI), and hepatic steatosis index (HSI). To analyze the associations between folate intake and the measured parameters, we used multiple regression with adjustments for age, sex, and energy intake.The mean body weight was 78.57 ± 18.14 kg, BMI 25.96 ± 5.28 kg/m2, and fat percentage 29.20% ± 10.78%. The median folate intake was 299.3 μg/day. Dietary folate intake was negatively associated with body weight, BMI, and body fat percentage (p < 0.05 for all associations). Folate intake was also associated with fatty liver indices—namely HSI (p < 0.05) and FLI (p < 0.05). There was no association between folate intake and NAFLD-LFS. MTHFR rs1801133 polymorphism was not associated with any of the measured parameters.Our findings suggest that folate intake may affect body weight and composition, as well as liver status. Higher folate intake could have a protective effect against obesity, but further studies are necessary to investigate the mechanism.The authors declare that they have no conflict of interests.This work was supported by the Polish National Science Centre(grants 2014/15/B/NZ9/02134 and 2016/21/N/NZ9/01195).

Effects of Fed- Versus Fasted-State Aerobic Training During Ramadan on Body Composition and Some Metabolic Parameters in Physically Active Men

2012 ◽  
Vol 22 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Khaled Trabelsi ◽  
Kais el Abed ◽  
Stephen R. Stannard ◽  
Kamel Jammoussi ◽  
Khaled M. Zeghal ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Aerobic Training ◽  
Metabolic Parameters ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Physically Active ◽  
Fed State ◽  
Fasted State

The aim of this study was to evaluate the effects of aerobic training in a fasted versus a fed state during Ramadan on body composition and metabolic parameters in physically active men. Nineteen men were allocated to 2 groups: 10 practicing aerobic training in a fasted state (FAST) and 9 training in an acutely fed state (FED) during Ramadan. All subjects visited the laboratory for a total of 4 sessions on the following occasions: 3 days before Ramadan (Bef-R), the 15th day of Ramadan; the 29th day of Ramadan (End-R), and 21 days after Ramadan. During each session, subjects underwent anthropometric measurement, completed a dietary questionnaire, and provided fasting blood and urine samples. Body weight decreased in FAST and FED by 1.9% (p < .001) and 2.6% (p = .046), respectively. Body fat percentage decreased only in FAST by 6.2% (p = .016). FAST experienced an increase in the following parameters from Bef-R to End-R: urine specific gravity (0.64%, p = .012), urea (8.7%, p < .001), creatinine (7.5%, p < .001), uric acid (12.7%, p < .001), sodium (1.9%, p = .003), chloride (2.6%, p < .001), and high-density lipoprotein cholesterol (27.3%, p < .001). Of these parameters, only creatinine increased (5.8%, p = .004) in FED. Creatinine clearance values of FAST decreased by 8.9% (p < .001) and by 7.6% in FED (p = .01) from Bef-R to End-R. The authors conclude that aerobic training in a fasted state lowers body weight and body fat percentage. In contrast, fed aerobic training decreases only body weight. In addition, Ramadan fasting induced change in some metabolic parameters in FAST, but these changes were absent in FED.

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals Associations between choline intake, body composition, lipid profile, and liver status in healthy adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Monika Młodzik-Czyżewska ◽  
Anna Malinowska ◽  
Agata Chmurzyńska
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Ldl Cholesterol ◽  
Liver Steatosis ◽  
Hdl Cholesterol ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Mean ◽  
Choline Intake

AbstractCholine is an essential nutrient involved in several processes, including the export of lipids from the liver. Recent studies have underlined that low choline intake may be linked to greater body weight and liver dysfunction. The aim of this study was thus to determine whether choline intake is associated with body weight, body mass index (BMI), body composition, lipid profile, or liver steatosis indices.407 healthy subjects aged 20–40 were enrolled in Poznań, Poland from 2016 to 2018. Food intake was assessed using three-day food records. Choline intake was analyzed using the USDA Database for the Choline Content of Common Foods, which summarizes the levels of choline found in a range of food items. Weight to 0.1 kg and height to 0.01 m were measured using an electronic scale and a stadiometer, respectively. BMI was calculated as body weight in kilograms divided by height in meters squared. Fat mass and lean body mass were determined using whole-body air-displacement plethysmography. Waist and hip circumferences were measured to 0.5 cm using nonelastic tape. Total cholesterol, LDL cholesterol, HDL cholesterol, and triglyceride levels in serum were determined using a biochemical analyzer. The following biomarkers of liver steatosis were calculated: NAFLD liver fat score (NAFLD-LFS), fatty liver index (FLI), and hepatic steatosis index (HSI). To analyze associations between choline intake and these parameters, we used multiple regression with adjustments for age, sex, and energy intake.The mean BMI was 25.9 ± 5.28 kg/m2, the mean body weight was 78.39 ± 18.03 kg, the mean body fat percentage was 29.1 ± 10.79%, and the mean choline intake was 447.93 ± 235 mg/day. Choline intake was negatively associated with body weight, body fat percentage, waist circumference, and FLI index (p < 0.05 for all associations) and positively associated with HDL cholesterol (p < 0.05). There were no associations between choline intake and BMI, hip circumference, total cholesterol, LDL cholesterol, and the following fatty liver indexes: HSI and NAFLD-LFS.Our study suggests that higher choline intake is associated with favorable body composition and may have a protective role on liver status. However, additional studies are needed to understand the effect of choline on these parameters.The authors declare that they have no conflict of interests.This work was supported by the Polish National Science Centre (grants 2014/15/B/NZ9/02134 and 2016/21/N/NZ9/01195).

Cocoa-rich chocolate and body composition in postmenopausal women: a randomised clinical trial

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Irene A. Garcia-Yu ◽  
Luis Garcia-Ortiz ◽  
Manuel A. Gomez-Marcos ◽  
Emiliano Rodriguez-Sanchez ◽  
Cristina Lugones-Sanchez ◽  
...  
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Fat Percentage ◽  
Habitual Diet

Abstract During menopause, women undergo a series of physiological changes that include a redistribution of fat tissue. This study was designed to investigate the effect of adding 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women daily on body composition. We conducted a 6-month, two-arm randomised, controlled trial. Postmenopausal women (57·2 (sd 3·6) years, n 132) were recruited in primary care clinics. Participants in the control group (CG) did not receive any intervention. Those of the intervention group (IG) received 10 g daily of 99 % cocoa chocolate in addition to their habitual diet for 6 months. This quantity comprises 247 kJ (59 kcal) and 65·4 mg of polyphenols. The primary outcomes were the between-group differences in body composition variables, measured by impendancemetry at the end of the study. The main effect of the intervention showed a favourable reduction in the IG with respect to the CG in body fat mass (–0·63 kg (95 % CI –1·15, –0·11), P = 0·019; Cohen’s d = –0·450) and body fat percentage (–0·79 % (95 % CI –1·31, –0·26), P = 0·004; Cohen’s d = –0·539). A non-significant decrease was also observed in BMI (–0·20 kg/m2 (95 % CI –0·44, 0·03), P = 0·092; Cohen’s d = –0·345). Both the body fat mass and the body fat percentage showed a decrease in the IG for the three body segments analysed (trunk, arms and legs). Daily addition of 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women reduces their body fat mass and body fat percentage without modifying their weight.

scholarly journals Somatic maturation and body composition in female healthy adolescents with or without adjustment for body fat

2014 ◽  
Vol 32 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Valter Paulo N. Miranda ◽  
Franciane Rocha de Faria ◽  
Eliane Rodrigues de Faria ◽  
Silvia Eloiza Priore
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Body ◽  
The Body ◽  
Female Adolescents ◽  
Height Velocity ◽  
Average Score ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Peak Height Velocity

Objective: To evaluate the relationship between the stages of somatic maturation and body composition in eutrophic female adolescents with or without excessive body fat. Methods: Cross-sectional study of 118 female adolescents, from 14 to 19 years-old, in Viçosa, Minas Gerais, Southeast Brazil. The adolescents were divided in two groups: Group 1 (G1), eutrophic with adequate body fat percentage, and Group 2 (G2), eutrophic with high body fat percentage. The somatic maturation was assessed by the formula for estimating the Peak Height Velocity (PHV). Results: The PHV had higher average score in G1 adolescents compared to G2 (0.26 versus 0.05; p=0.032). There was an association between G1, G2 and the somatic maturation (p=0.049). The female adolescents before and during PHV presented higher values of fat body BMI (p=0.034) and percentage of central fat (p=0.039) compared to the adolescents after PHV. There was a correspondence between before PHV stage and the excess of body fat (α=0.751). Conclusions: There was an association between somatic maturation and body composition in eutrophic female adolescents. Length, BMI and fat percentage were different among the somatic maturation stages. It is relevant to evaluate the somatic maturation and the changes occurring in the body composition during adolescence in order to better evaluate and manage the nutritional status and the body fat excess.

scholarly journals Assessment of the Body Composition and Parameters of the Cardiovascular Risk in Juvenile Idiopathic Arthritis

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ewa Jednacz ◽  
Lidia Rutkowska-Sak
Keyword(s):  
Body Composition ◽  
Juvenile Idiopathic Arthritis ◽  
Cardiovascular Risk ◽  
Lipid Profile ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Fat Percentage

The study was aimed to evaluate cardiovascular risk parameters, body mass index (BMI) centiles for sex and age, and body fat percentage using the electric bioimpedance method in children with juvenile idiopathic arthritis (JIA). 30 children with JIA participated in the study. A control group included 20 children. Patients were well matched for the age and sex. The body mass and body fat percentage were determined using the segmental body composition analyser; the BMI centiles were determined. All patients had the following parameters determined: lipid profile, hsCRP, homocysteine, and IL-6. The intima media thickness (IMT) was measured. Patients with JIA had significantly lower body weight, BMI, and the BMI centile compared to the control group. The IL-6 levels were significantly higher in patients with JIA compared to the control group. There were no differences between two groups with regard to the lipid profile, % content of the fat tissue, homocysteine levels, hsCRP, and IMT. Further studies are necessary to search for reasons for lower BMI and BMI centile in children with JIA and to attempt to answer the question of whether lower BMI increases the cardiovascular risk in these patients, similarly as in patients with rheumatoid arthritis (RA).

Effects of weight loss using supplementation with Lactobacillus strains on body fat and medium-chain acylcarnitines in overweight individuals

2017 ◽  
Vol 8 (1) ◽  
pp. 250-261 ◽  
Author(s):  
Minkyung Kim ◽  
Minjoo Kim ◽  
Miso Kang ◽  
Hye Jin Yoo ◽  
Min Sun Kim ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Fat ◽  
Subcutaneous Fat ◽  
The Body ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Fat Percentage ◽  
Probiotic Supplementation ◽  
Percentage Body Fat

Probiotic supplementation increased the levels of C8:1, C14:1, C10, and C12:1 acylcarnitines, and these increases were correlated with a decrease in the body weight, body fat percentage, body fat mass and L1 subcutaneous fat area.

scholarly journals Equation to Fat Percentage Estimation in Women with Reduced Bone Mineral Density

2017 ◽  
Vol 10 (1) ◽  
pp. 251-256
Author(s):  
Cristiane da Silva Oselame ◽  
Gleidson Brandão Oselame ◽  
Oslei de Matos ◽  
Eduardo Borba Neves
Keyword(s):  
Bone Mineral Density ◽  
Body Composition ◽  
Body Fat ◽  
Bone Mineral ◽  
The Body ◽  
World Health ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Mineral Density ◽  
Postmenopausal Period

Introduction: The measurement of body fat is a way to obtain information about the characteristics that can lead to a framework of certain diseases. Thus, women in postmenopausal period experience significant variations in the body composition and fat distribution. Objective: To develop an equation to estimation of the body fat percentage in women with osteopenia / osteoporosis based on anthropometric measurements easily obtainable. Methods: The sample consisted of 74 women participating in the study group of the Physical Exercise Program for Osteoporosis Federal Technological University of Paraná, all in postmenopausal period and with osteopenia or osteoporosis. It evaluated body composition and bone mineral density by absorptiometry Radiological Dual Energy (DXA), anthropometry and body circumferences (waist, abdomen and hips), and nutritional status by the Body Mass Index (BMI) as the World Health Organization classification. Results: The sample can be characterized by the following average data: age of 59.32 ± 6.96, 27.14 ± 3 BMI 90, Waist Hip Ratio of 0.85 ± 0.08 and Body fat percentage 40.35 ± 4.04. The proposed equation was Body Fat Percentage (BFP) = 14,419 + (0.405 x BMI) + (0.147 x HC) using only two predictor variables, BMI and hip circumference (PQ). Conclusion: The standard error of estimate of the proposed equation was 2.89 (R2 = 0.501) can be considered low average values for the percentage of fat in this population, suggesting that the equation can be used to estimate the percentage of body fat in postmenopausal women.

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