scholarly journals MON-104 The Relationship Between Metabolic Syndrome Indicators and Body Composition Measured by Bioelectrical Impedance Analysis Methods in Obese Children

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Seulki Kim ◽  
Yoonji Lee ◽  
Na-yeong Lee ◽  
Seonhwa Lee ◽  
Yujung Choi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Composition ◽  
Serum Insulin ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Z Score ◽  
Good Tool ◽  
Prepubertal Children ◽  
Composition Data ◽  
The Relationship

Abstract Purpose: This study aimed to compare obesity indices with impedance analyzed body composition data, and to investigate the association between impedance analyzed body composition data and the prevalence of metabolic syndrome. Methods: 123 prepubertal children (49% girls 3-to-8- year-old, 51% boys 3-to-9-year-old) who are below or equal to body mass index (BMI, kg/m2) 85th percentile were retrospectively reviewed. Height, weight, waist circumference, blood pressure, serum lipid profiles, fasting plasma glucose and serum insulin were measured. Body fat percentile (BFP), fat-free mass (FFM) were measured by BIA and fat mass index (FMI), fat-free mass index (FFMI) were calculated. We investigated the relationship between metabolic syndrome indicators and body composition measured by BIA. Metabolic syndrome (MetS) was defined as including more than or equal to three of the metabolic abnormalities according to the modified National Cholesterol Education Program Adult Treatment Panel III. Results: The overall prevalence of MetS was found to be 15.4%(19/123). The prevalence of MetS, MetS indicators, and body composition measured by BIA were not significantly different between males and females. BMI z-score was positively correlated with BFP, FMI and FFMI (r=0.51, P=0.001; r=0.63, P=0.001; r=0.29, P=0.001, respectively), so was waist-to-height ratio (WHR) (r=0.57, P=0.001; r=0.70, P=0.001; r=0.33, P=0.001). Homeostatic model assessment for insulin resistance (HOMA-IR) index was associated to BFP, FFM, FMI, and FFMI (r=0.305, P=0.003; r=0.359, P=0.001; r=0.331, P=0.001; r=0.24, P=0.018, respectively). Regression analysis showed chronological age (CA) and BMI z-score affect HOMA-IR (β=0.61, P=0.001; β=0.93, P=0.002, respectively) and CA was considered as a potential risk factor of MetS (Odd ratio of 3.09 and 95 % confidence interval of 1.25–7.65). Conclusion: BIA seems to be a good tools for measuring obesity but not a good tool for predicting complications of obesity in prepubertal children. Further study is needed on the risk factors for complications of obesity in prepubertal children.

Comparison of energy expenditure, body composition, metabolic disorders, and energy intake between obese children with a history of craniopharyngioma and children with multifactorial obesity

2015 ◽  
Vol 28 (11-12) ◽  
Author(s):  
Ilanit Bomer ◽  
Carola Saure ◽  
Carolina Caminiti ◽  
Javier Gonzales Ramos ◽  
Graciela Zuccaro ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Positive Association ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Control Group ◽  
Model Assessment ◽  
Obese Children ◽  
Mass Percentage

AbstractCraniopharyngioma is a histologically benign brain malformation with a fundamental role in satiety modulation, causing obesity in up to 52% of patients.To evaluate cardiovascular risk factors, body composition, resting energy expenditure (REE), and energy intake in craniopharyngioma patients and to compare the data with those from children with multifactorial obesity.All obese children and adolescents who underwent craniopharyngioma resection and a control group of children with multifactorial obesity in follow-up between May 2012 and April 2013.Anthropometric measurements, bioelectrical impedance, indirect calorimetry, energy intake, homeostatic model assessment insulin resistance (HOMA-IR), and dyslipidemia were evaluated.Twenty-three patients with craniopharyngioma and 43 controls were included. Children with craniopharyngioma-related obesity had a lower fat-free mass percentage (62.4 vs. 67.5; p=0.01) and a higher fat mass percentage (37.5 vs. 32.5; p=0.01) compared to those with multifactorial obesity. A positive association was found between %REE and %fat-free mass in subjects with multifactorial obesity (68±1% in normal REE vs. 62.6±1% in low REE; p=0.04), but not in craniopharyngioma patients (62±2.7 in normal REE vs. 61.2±1.8% in low REE; p=0.8). No differences were found in metabolic involvement or energy intake.REE was lower in craniopharyngioma patients compared to children with multifactorial obesity regardless of the amount of fat-free mass, suggesting that other factors may be responsible for the lower REE.

scholarly journals The experience of life events and body composition in middle childhood: a population-based study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Ivonne P. M. Derks ◽  
Sara Hannani ◽  
Florianne O. L. Vehmeijer ◽  
Henning Tiemeier ◽  
Pauline W. Jansen
Keyword(s):  
Body Composition ◽  
Life Events ◽  
Middle Childhood ◽  
Population Based ◽  
Fat Free Mass ◽  
Structured Interviews ◽  
Population Based Study ◽  
Wide Range ◽  
The Relationship ◽  
Dutch Children

AbstractWhile studies suggest potential influences of childhood adversities on obesity development in adulthood, less is known about the short-term association in children. We examined the association between a wide range of life events experienced in the first ten years of life (including maltreatment and milder adversities) and body composition in 5333 ten-year old Dutch children. In structured interviews, mothers retrospectively reported on their children’s experience of 24 events. BMI was calculated, and fat mass index and fat free mass index were determined by dual-x-ray absorptiometry scanning. Linear regressions showed that, unadjusted, a higher number of life events was associated with higher BMI and body composition. However, associations attenuated to non-significance after adjustment for covariates. Similar findings were observed for maltreatment and milder life events. Thus, the number of experienced life events was not associated with body composition in middle childhood. Rather, other factors, like socioeconomic conditions, accounted for the relationship between life events and weight development in children.

scholarly journals The Relationship between Epicardial Adipose Tissue Thickness and Serum Interleukin-17a Level in Patients with Isolated Metabolic Syndrome

Biomolecules ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 97 ◽  
Author(s):  
Esra Demir ◽  
Nazmiye Harmankaya ◽  
İrem Kıraç Utku ◽  
Gönül Açıksarı ◽  
Turgut Uygun ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Epicardial Adipose Tissue ◽  
Control Group ◽  
Model Assessment ◽  
Tissue Thickness ◽  
The Metabolic Syndrome ◽  
Epicardial Adipose Tissue Thickness ◽  
The Relationship

In this study, it was aimed to investigate the relationship between the epicardial adipose tissue thickness (EATT) and serum IL-17A level insulin resistance in metabolic syndrome patients. This study enrolled a total of 160 subjects, of whom 80 were consecutive patients who applied to our outpatient clinic and were diagnosed with metabolic syndrome, and the other 80 were consecutive patients who were part of the control group with similar age and demographics in whom the metabolic syndrome was excluded. The metabolic syndrome diagnosis was made according to International Diabetes Federation (IDF)-2005 criteria. EATT was measured with transthoracic echocardiography (TTE) in the subjects. IL-17A serum levels were determined using the ELISA method. Fasting blood glucose, HDL, triglyceride, and fasting insulin levels were significantly higher in the metabolic syndrome group compared to the control group. In addition, the metabolic syndrome group had significantly higher high-sensitivity C-reactive protein (hs-CRP) and Homeostatic Model Assessment Insulin Resistance (HOMA-IR) levels than the control group. Similarly, serum IL-17A levels were significantly elevated in the metabolic syndrome group compared to the control group statistically (p < 0.001). As well, EATT was higher in the metabolic syndrome than the control group. Conclusion: By virtue of their proinflammatory properties, EATT and IL-17 may play an important role in the pathogenesis of the metabolic syndrome.

Resting Energy Expenditure in Obese Women with Primary Hypothyroidism and Appropriate Levothyroxine Replacement Therapy

2020 ◽  
Vol 105 (4) ◽  
pp. e1741-e1748 ◽  
Author(s):  
Emanuele Muraca ◽  
Stefano Ciardullo ◽  
Alice Oltolini ◽  
Francesca Zerbini ◽  
Eleonora Bianconi ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Replacement Therapy ◽  
Resting Energy Expenditure ◽  
Primary Hypothyroidism ◽  
Normal Serum ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Obese Women ◽  
Resting Energy

Abstract Context Growing evidence suggests that appropriate levothyroxine (LT4) replacement therapy may not correct the full set of metabolic defects afflicting individuals with hypothyroidism. Objective To assess whether obese subjects with primary hypothyroidism are characterized by alterations of the resting energy expenditure (REE). Design Retrospective analysis of a set of data about obese women attending the outpatients service of a single obesity center from January 2013 to July 2019. Patients A total of 649 nondiabetic women with body mass index (BMI) &gt; 30 kg/m2 and thyrotropin (TSH) level 0.4–4.0 mU/L were segregated into 2 groups: patients with primary hypothyroidism taking LT4 therapy (n = 85) and patients with normal thyroid function (n = 564). Main outcomes REE and body composition assessed using indirect calorimetry and bioimpedance. Results REE was reduced in women with hypothyroidism in LT4 therapy when compared with controls (28.59 ± 3.26 vs 29.91 ± 3.59 kcal/kg fat-free mass (FFM)/day), including when adjusted for age, BMI, body composition, and level of physical activity (P = 0.008). This metabolic difference was attenuated only when adjustment for homeostatic model assessment of insulin resistance (HOMA-IR) was performed. Conclusions This study demonstrated that obese hypothyroid women in LT4 therapy, with normal serum TSH level compared with euthyroid controls, are characterized by reduced REE, in line with the hypothesis that standard LT4 replacement therapy may not fully correct metabolic alterations related to hypothyroidism. We are not able to exclude that this feature may be influenced by the modulation of insulin sensitivity at the liver site, induced by LT4 oral administration.

scholarly journals Prepregnancy Fat Free Mass and Associations to Glucose Metabolism Before and During Pregnancy

2018 ◽  
Vol 104 (5) ◽  
pp. 1394-1403 ◽  
Author(s):  
Eva Carolina Diaz ◽  
Elisabet Børsheim ◽  
Kartik Shankar ◽  
Mario Alberto Cleves ◽  
Aline Andres
Keyword(s):  
Body Composition ◽  
Glucose Homeostasis ◽  
Insulin Response ◽  
Fat Free Mass ◽  
Insulin Concentration ◽  
Muscle Quality ◽  
Sensitivity Index ◽  
Second Phase ◽  
Metabolic Clearance ◽  
Model Assessment

Abstract Objective Our aim was to quantify the individual contribution of prepregnancy (PP) fat-free mass (FFM), expressed as [PP-FFM index (PP-FFMI) = FFM (kg)/height (m2)], on markers of glucose homeostasis before and during pregnancy. Methods Body composition was assessed in 43 women before pregnancy using air-displacement plethysmography. Blood was drawn at PP and gestational weeks ∼8 and 30. Relationships between body composition (independent) variables and glucose homeostasis (dependent) variables were assessed using adjusted correlations and simple and multiple linear regression analyses. Results PP-FFMI was the strongest predictor of plasma insulin concentration [squared partial correlation (Pr2) = 17, P = 0.007] and homeostasis model assessment of insulin resistance (HOMA2-IR) (Pr2 = 16, P = 0.010). At gestation week 30, PP-FFMI and gestational weight gain (GWG) were the strongest predictors of insulin concentration (PP-FFMI: Pr2 = 20, P = 0.010; GWG: Pr2 = 12, P = 0.052) and HOMA2-IR (PP-FFMI: Pr2 = 19, P = 0.012; GWG: Pr2 = 13, P = 0.045). After accounting for PP fat mass index (PP-FMI), PP-FFMI and GWG were independently associated with first-phase insulin response (PP-FFMI: Pr2 = 20, P = 0.009; GWG: Pr2 = 15, P = 0.025) and second-phase insulin response (PP-FFMI: Pr2 = 19, P = 0.011; GWG: Pr2 = 17, P = 0.016). PP-FMI was the strongest predictor of an oral glucose tolerance test‒derived estimated metabolic clearance rate of glucose (PP-FMI: Pr2 = 14, P = 0.037) and estimated insulin sensitivity index (PP-FMI: Pr2 = 13, P = 0.047). Conclusions PP-FFMI was a predictor of markers of glucose homeostasis before and during pregnancy. Studies assessing the effect of skeletal muscle quality on metabolic regulation during pregnancy are warranted.

scholarly journals Are Body Composition Parameters Better than Conventional Anthropometric Measures in Predicting Pediatric Hypertension?

2020 ◽  
Vol 17 (16) ◽  
pp. 5771
Author(s):  
Chih-Yu Hsu ◽  
Rong-Ho Lin ◽  
Yu-Ching Lin ◽  
Jau-Yuan Chen ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Body Composition ◽  
Receiver Operating Characteristic Curve ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Fat Free Mass ◽  
Z Score ◽  
Pediatric Hypertension ◽  
Anthropometric Measures ◽  
Operating Characteristic Curve ◽  
Better Than

Body composition (BC) parameters are associated with cardiometabolic diseases in children; however, the importance of BC parameters for predicting pediatric hypertension is inconclusive. This cross-sectional study aimed to compare the difference in predictive values of BC parameters and conventional anthropometric measures for pediatric hypertension in school-aged children. A total of 340 children (177 girls and 163 boys) with a mean age of 8.8 ± 1.7 years and mean body mass index (BMI) z-score of 0.50 ± 1.24 were enrolled (102 hypertensive children and 238 normotensive children). Significantly higher values of anthropometric measures (BMI, BMI z-score, BMI percentile, waist-to-height ratio) and BC parameters (body-fat percentage, muscle weight, fat mass, fat-free mass) were observed among the hypertensive subgroup compared to their normotensive counterparts. A prediction model combining fat mass ≥ 3.65 kg and fat-free mass ≥ 34.65 kg (area under the receiver operating characteristic curve = 0.688; sensitivity = 66.7%; specificity = 89.9%) performed better than BMI alone (area under the receiver operating characteristic curve = 0.649; sensitivity = 55.9%; specificity = 73.9%) in predicting hypertension. In conclusion, BC parameters are better than anthropometric measures in predicting pediatric hypertension. BC measuring is a reasonable approach for risk stratification in pediatric hypertension.

scholarly journals Socioeconomic, Dietary and Health Determinants of Body Composition in Haitian School Children Aged 3–13 Years (P11-130-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Clive Musonza ◽  
Sherlie Jean-Louis Dulience ◽  
Jacques Raymond Delnatus ◽  
Patricia Wolff ◽  
Aishwarya Nagar ◽  
...  
Keyword(s):  
Body Composition ◽  
School Children ◽  
Fat Free Mass ◽  
Health Determinants ◽  
Thin Body ◽  
Z Score ◽  
Factors Associated ◽  
School Aged Children ◽  
Health Factors ◽  
Maternal Bmi

Abstract Objectives This study aimed to characterize socioeconomic, dietary and health factors associated with body composition of school-aged children in Cap-Haïtien, Haiti. Methods Baseline data from a cluster randomized controlled trial of children aged 3–13 years (n = 1084) to test the effectiveness of lipid-based nutrient supplement on anemia and other nutrition outcomes was used for this analysis. Anthropometric measures of height and weight were collected from the children using standard WHO protocols. Parent surveys provided information on household-level socioeconomic and demographic information and frequency of dietary intakes and infectious disease morbidities of the children. Body composition was determined using bioelectric impedance analysis (BIA). Equations, validated using deuterium dilution method in Gambian school children, were then used to derive fat mass (FM) and fat free mass (FFM). Multiple linear regression modeling identified factors associated with body composition. Results There were 43.7% of children categorized as moderately thin (body mass index (BMI) z score < -1). Mean percentage of FM was 7.8% (SD ± 3.5) and 11.9% (SD ± 4.9) while mean FM (kg) was 1.7kg (SD ± 0.8) and 3.1kg (SD ± 3.5) for thin children and those not thin, respectively. Child's age, ear infection in the last month and bread consumption were negatively associated with FM (%), whereas child's sex, maternal BMI, and toilet type used showed a positive relationship. FM (kg) was positively associated with child's age, sex, height-for-age z score, maternal BMI, house ownership and toilet type used. Models 1, 2, and 3 with BMI z score, FM (%) and FM (kg) as dependent variables respectively showed: [F(6, 773) = 16.2, β = –1.5, P < .001, (Adj. R2 = .11)], [F(6, 747) = 42.2, β = 2.7, P < .001, (Adj. R2 = .25)] and [F(6, 746) = 36.0, β = -2.7, P < .001, (Adj. R2 = .22)]. Conclusions This study provides evidence of socioeconomic, dietary and health factors associated with body composition in Haitian school-aged children, however more research is required to identify additional factors mediating this relationship. Funding Sources Supported by the USDA Foreign Agricultural Service Micronutrient Fortified Food Aid Products program FFE-521-2012/034-00, the Masters Research Fellows Program of the Brown School and E3 Nutrition Lab.

scholarly journals Ethnic differences in the relationship between body mass index and percentage body fat among Asian children from different backgrounds

2011 ◽  
Vol 106 (9) ◽  
pp. 1390-1397 ◽  
Author(s):  
Ailing Liu ◽  
Nuala M. Byrne ◽  
Masaharu Kagawa ◽  
Guansheng Ma ◽  
Bee Koon Poh ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Ethnic Differences ◽  
Task Force ◽  
The Philippines ◽  
Overweight And Obesity ◽  
Fat Free Mass ◽  
Percentage Body Fat ◽  
Asian Children ◽  
The Relationship

Overweight and obesity in Asian children are increasing at an alarming rate; therefore a better understanding of the relationship between BMI and percentage body fat (%BF) in this population is important. A total of 1039 children aged 8–10 years, encompassing a wide BMI range, were recruited from China, Lebanon, Malaysia, The Philippines and Thailand. Body composition was determined using the 2H dilution technique to quantify total body water and subsequently fat mass, fat-free mass and %BF. Ethnic differences in the BMI–%BF relationship were found; for example, %BF in Filipino boys was approximately 2 % lower than in their Thai and Malay counterparts. In contrast, Thai girls had approximately 2·0 % higher %BF values than in their Chinese, Lebanese, Filipino and Malay counterparts at a given BMI. However, the ethnic difference in the BMI–%BF relationship varied by BMI. Compared with Caucasian children of the same age, Asian children had 3–6 units lower BMI at a given %BF. Approximately one-third of the obese Asian children (%BF above 25 % for boys and above 30 % for girls) in the study were not identified using the WHO classification and more than half using the International Obesity Task Force classification. Use of the Chinese classification increased the sensitivity. Results confirmed the necessity to consider ethnic differences in body composition when developing BMI cut-points and other obesity criteria in Asian children.

scholarly journals The Relationship between Selected Body Composition Components and Cardiopulmonary Resuscitation Parameters in Nurses: An Observational Simulation Study

2021 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Paweł Więch ◽  
Marek Muster ◽  
Łukasz Godek ◽  
Izabela Sałacińska ◽  
Edyta Guty ◽  
...  
Keyword(s):  
Body Composition ◽  
Cardiopulmonary Resuscitation ◽  
Simulation Study ◽  
Medical Staff ◽  
Bioelectrical Impedance ◽  
Face Mask ◽  
The Body ◽  
Fat Free Mass ◽  
Physical Parameters ◽  
The Relationship

The provision of cardiopulmonary resuscitation (CPR) may be related to the physical parameters of the medical personnel, including fat mass (FM) and fat-free mass (FFM) components. In this study, we aimed to assess the relationship between selected body composition components and chest compression and ventilation parameters provided by medical staff. An observational simulation study was undertaken between December 2017 and January 2019 at the Center for Innovative Research in Medical and Natural Sciences of Rzeszów. In all participants (505 nurses, 37.71 y ± 12.16), the body weight and height were measured and the body mass index (BMI) was calculated. The body composition indicators were obtained using a bioelectrical impedance device, AKERN BIA 101. Afterwards, all participants performed CPR sequences (30 chest compressions and rescue for 2 breaths) for 2 min on a Laerdal Resusci Anne simulator placed on an examination couch with a self-inflating bag and a face mask. Our observations proved that high values of the anthropometric, nutritional and body composition parameters of the medical staff demonstrated a positive significant correlation with the depth and rate chest parameters and were inversely related to the chest adequate recoil. No statistically significant differences were found between the FM or FFM components and ventilation parameters. This study showed that nutritional status and body composition components may be important factors affecting the quality of CPR.

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