scholarly journals An assesment on the basal metabolic rate according to chosen variablesBazal metabolizma hizinin seçilmiş değişkenlere göre değerlendirilmesi

2018 ◽  
Vol 15 (4) ◽  
pp. 1914 ◽  
Author(s):  
H. Bayram Temur
Keyword(s):  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Mass ◽  
One Way Anova

The purpose of this study was to investigate the relationship between basal metabolic rate (BMR), gender, height, body weight, age, body fat mass, lean body mass, right and left leg soft lean mass in 8-13-year old. A total of 98 people were included in the study, of which 66 were female and 32 were male. Subjects, ages, height lengths, body weights were determined. In addition, BMR, body fat mass (BFM), lean body mass (LBM), and right and left leg soft fat mass (SFM) values of the subjects were determined by Bioelectrical Impedance Analysis (BIA). The statistical analysis of the data was based on the independent sample t test for the comparison of the two groups of data and the one-way ANOVA for the analysis of the groups with more than two samples. As a result of the analysis, changes in some selected variables of Basal Metabolism Rate of the participants were observed and a statistically significant result was determined. As a result, it can be said that BMH is faster in males than females and increases with age. It was also observed that the increase in height, body weight, body fat mass, lean body mass, right and left leg soft lean mass affects BMR positively.Extended English summary is in the end of Full Text PDF (TURKISH) file.ÖzetBu çalışmayla, 8 - 13 yaş arası bireylerde bazal metabolizma hızının(BMH), cinsiyet, boy, vücut ağırlığı, yaş, vücut yağ kütlesi, yağsız vücut kütlesi, sağ ve sol bacak yumuşak yağsız kütle ile ilişkisinin incelenmesi amaçlanmıştır. Araştırmaya 66’sı kadın, 32'si erkek olmak üzere toplam 98 kişi dahil edildi. Deneklerin, yaşları, boy uzunlukları, vücut ağırlıkları belirlendi. Ayrıca deneklerin BMH, Vücut yağ kütlesi (VYK), yağsız vücut kütlesi (YVK) ve sağ ve sol bacak yumuşak yağsız kütle (YYK) değerleri Bioelectrical Impedance Analysis (BIA) cihazı ile saptandı. Verilerin istatistiksel analizin de iki grup olan verilerin karşılaştırılmasında indepentend sample t testi, ikiden fazla olan grupların analizinde ise One-way ANOVA kullanıldı. Analiz sonucunda katılımcıların Bazal Metabolizma Hızının Seçilmiş bazı değişkenler üzerinde değişiklikler görülmüş olup istatiksel olarak anlamlı bir sonuç tespit edilmiştir (p<0,05). Sonuç olarak, BMH' nın erkeklerde kadınlardan daha hızlı olduğunu, yaş ilerledikçe arttığı söylenebilir. Ayrıca boy uzunluğu, vücut ağırlığı, vücut yağ kütlesi, yağsız vücut kütlesi, sağ ve sol bacak yumuşak yağsız kütlesindeki artışın BMH'yi olumlu yönde etkilediği görüldü.

scholarly journals Perbandingan Penghitungan Massa Tubuh Dengan Menggunakan Metode Indeks Massa Tubuh (IMT) dan Bioelectrical Impedance Analysis (BIA)

2020 ◽  
Vol 6 (1) ◽  
pp. 43
Author(s):  
Yonathan Wiranata ◽  
Inayatul Inayah
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Pearson Correlation ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Mass Composition ◽  
Body Fat Mass ◽  
Body Mass Composition

Anthropometric is a method of body mass composition calculation resulting either roughly or directly (detail). BMI is an anthropometric method performed by measuring body weight and height to classify one’s body mass index. BIA is an anthropometric methods used to asses body mass composition, including water mass, musculoskeletal, and mainly body fat mass. The purpose of this study isto find the relationship between the two methods of anthropometry and see the comparasion of body mass composition resulted by the two methods. Study design with descriptive analytics with cross sectional approach, the sampling technique use quota sampling, 41 respondents. Data analysis with analysis of Pearson correlation test (significance level α = 0.05, p – value < α). Results of a normal BMI of 25 respondents (61%), the results of normal BIA 29 respondents (71%) and fat mass between (from 11.00 to 37.30, the average 24.05). obtained a result of a positive relationship between BMI with the composition of body fat (r = 0.708, p <0.000). With it was found that BMI and body fat composition has a significant relationship (p <0.000). It can be cloncuded BMI has strong correlation with body fat mass that were measured by using the BIA method resulted from PSIK student at the University of Muhammadiyah Malang. BIA method is no better than BMI method as a parameter to determine body mass composition.Kata Kunci:  Indeks Massa Tubuh, Bioelectrical Impedance Analysis, Komposisi Tubuh.

Determination of Body Fat Mass: Bioelectrical Impedance Analysis

2015 ◽  
Vol 30 (5) ◽  
pp. 895-896 ◽  
Author(s):  
Umut Safer ◽  
Vildan Binay Safer ◽  
Umit Cintosun
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Mass

Bioelectrical Impedance Analysis and Skinfold Thickness Sum in Assessing Body Fat Mass of Renal Dialysis Patients

2012 ◽  
Vol 22 (4) ◽  
pp. 409-415.e2 ◽  
Author(s):  
Natália Cristina Lima Rodrigues ◽  
Priscila Campos Sala ◽  
Lilian Mika Horie ◽  
Maria Carolina Gonçalves Dias ◽  
Raquel Susana Matos de Miranda Torrinhas ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Renal Dialysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Skinfold Thickness ◽  
Body Fat Mass ◽  
Dialysis Patients

scholarly journals Body Morphometrics in NAFLD Population

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Harkeerat Dhami ◽  
Niharika Samala
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Percent Body Fat ◽  
Composition Analysis ◽  
Processed Meat ◽  
Body Fat Mass ◽  
High Sodium ◽  
Obstructive Sleep

Introduction: NAFLD is one of the common causes of liver disease in the US and is commonly associated with metabolic syndrome. Among obese, prevalence of NAFLD is 7090%. We wanted to determine body morphometrics in NAFLD. Methods: All individuals presenting to Indiana University Hospital with NAFLD were approached to participate in cross-sectional study. All participants were offered beverage, diet (REAP) questionnaires and body composition analysis using InBody 570, which utilizes bioelectrical impedance. Results: Of the 321 NAFLD individuals enrolled, 256 completed body morphometric analysis. Mean age of the cohort was 51.58 ± 13.54, 58% were female, 297 White and had a mean BMI of 35.92. 76% were obese, 48% had type 2 diabetes, 49.2% had hypertension, 38.6% had dyslipidemia, and 20.5% had obstructive sleep apnea. Despite having similar BMI, females had lower lean body mass (51.01 vs 70.51) and skeletal muscle mass (28.05 vs 39.70), higher body fat mass (46.71 vs 41.04) and percent body fat (46.59 vs. 35.7). Regular coffee consumers had lower BMI (35.3 vs 38, p=0.038), but lower body fat mass (39.9 vs 46.2, p=0.01), percent body fat (41.1 vs 44.4, p=0.05) and higher lean body mass % (58.8 vs 55.5, p=0.049). Processed meat consumption was associated with higher BMI (39 vs 35.3, P=0.01), percent body fat (45.5 vs 42, p=0.04), and lower lean body mass percentage (54.5 vs 58.2, P=0.04). Similar trends were seen with consumption of high sodium processed foods and watching television for ≥ 2 hours/day. Conclusion: Among individuals with NAFLD, we saw a higher female preponderance, who were found to have unfavorable body morphometrics despite similar BMI as males. Consumption of high sodium processed food and meat and excess screen time have unfavorable, while regular coffee drinkers have favorable body morphometrics, which offer modifiable measures for risk factors associated with NAFLD.

Appendicular Lean Body Mass: Prediction by Bioelectrical Impedance Analysis

2006 ◽  
Vol 904 (1) ◽  
pp. 218-220 ◽  
Author(s):  
A. TAGLIABUE ◽  
A. ANDREOLI ◽  
S. BERTOLI ◽  
E. PAGLIATO ◽  
M. COMELLI ◽  
...  
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis

scholarly journals Aerobic exercise-induced changes in body composition and blood lipids in young women

Medicina ◽  
2010 ◽  
Vol 46 (2) ◽  
pp. 129 ◽  
Author(s):  
Arvydas Stasiulis ◽  
Asta Mockienė ◽  
Daiva Vizbaraitė ◽  
Pranas Mockus
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Weight ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Blood Lipids ◽  
Density Lipoprotein ◽  
Body Fat Mass ◽  
Cycling Training

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.

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