Hubungan Indeks Massa Tubuh dan Massa Lemak dengan Densitas Tulang pada Mahasiswa Fakultas Kedokteran Universitas Jendral Soedirman

2017 ◽  
Vol 19 (2) ◽  
pp. 79-83
Author(s):  
Irbath Hamdanie ◽  
Agus Prastowo ◽  
Indah Rahmawati
Keyword(s):  
Body Mass Index ◽  
College Student ◽  
Bone Density ◽  
Body Mass ◽  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Bivariate Analysis ◽  
Student Body ◽  
Cross Sectional ◽  
Bioelectrical Impedance Analyzer

Background : Osteoporosis is associated with decreased bone density. Osteoporosis needs serious handling because of the high prevalence and impact is quite severe. There are several factors that may affect bone density, there are body mass index and fat mass. Medical student are candidates for health professional who are required to have high criteria so that the health of medical students need to be considered. Objective : To determine the correlation between body mass index and fat mass with bone density in college student Medical Faculty of Jenderal Soedirman University. Methods : This was an analytic observational study with cross sectional approach. Total research subject were 36 college student. Body mass index data was obtained from rasio of weight in kg and quadrate from height in meter. Fat mass data was measured with Bioelectrical Impedance Analyzer (BIA). Bone density data was measured with densitometry. Bivariate analysis using pearson. Result : Value of body mass index in subject had a mean 24,91 ± 4,59. Value of fat mass in subject had a mean 21,95 ± 5,14%. Value of bone density in subject had a mean -0,28 ± 0,79. Pearson test’s result were p = 0,001 for body mass index (r=0,697) and p = 0,001 for fat mass (r=0,665), show there were statistically significant correlation (p<0,05) between body mass index and fat mass with bone density. Conclusion : There were significant correlation between body mass index and fat mass with bone density in college student Medical Faculty of Jenderal Soedirman University.   Keywords : body mass index, fat mass, bone density, college student

Hubungan Indeks Massa Tubuh dan Massa Lemak dengan Densitas Tulang pada Mahasiswa Fakultas Kedokteran Universitas Jendral Soedirman

2017 ◽  
Vol 19 (2) ◽  
pp. 79
Author(s):  
Irbath Hamdanie ◽  
Agus Prastowo ◽  
Indah Rahmawati
Keyword(s):  
Body Mass Index ◽  
College Student ◽  
Bone Density ◽  
Body Mass ◽  
Fat Mass ◽  
Bivariate Analysis ◽  
Research Subject ◽  
Cross Sectional ◽  
Density Data ◽  
Impedance Analyzer

Background : Osteoporosis is associated with decreased bone density. Osteoporosis needs serious handling because of the highprevalence and impact is quite severe. There are several factors that may affect bone density, there are body mass index and fat mass.Medical student are candidates for health professional who are required to have high criteria so that the health of medical studentsneed to be considered.Objective : To determine the correlation between body mass index and fat mass with bone density in college student Medical Facultyof Jenderal Soedirman University.Methods : This was an analytic observational study with cross sectional approach. Total research subject were 36 college student.Body mass index data was obtained from rasio of weight in kg and quadrate from height in meter. Fat mass data was measured withBioelectrical Impedance Analyzer (BIA). Bone density data was measured with densitometry. Bivariate analysis using pearson.Result : Value of body mass index in subject had a mean 24,91 ± 4,59. Value of fat mass in subject had a mean 21,95 ± 5,14%. Valueof bone density in subject had a mean -0,28 ± 0,79. Pearson test’s result were p = 0,001 for body mass index (r=0,697) and p = 0,001for fat mass (r=0,665), show there were statistically significant correlation (p<0,05) between body mass index and fat mass with bonedensity.Conclusion : There were significant correlation between body mass index and fat mass with bone density in college student MedicalFaculty of Jenderal Soedirman University.

scholarly journals Endocrine and Clinical Correlates of Myostatin Serum Concentration in Men—the STRAMBO Study

2012 ◽  
Vol 97 (10) ◽  
pp. 3700-3708 ◽  
Author(s):  
Pawel Szulc ◽  
Michael Schoppet ◽  
Claudia Goettsch ◽  
Martina Rauner ◽  
Thomas Dschietzig ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fat Mass ◽  
Insurance Coverage ◽  
Muscle Growth ◽  
Serum Levels ◽  
Health Insurance Coverage ◽  
Cross Sectional ◽  
17Β Estradiol ◽  
Sectional Analysis

Abstract Context: Myostatin is expressed mainly in skeletal muscle cells and acts as an inhibitor of muscle growth and differentiation. However, data on the determinants of serum myostatin concentrations in humans are limited. Objective: The aim of the study was to assess the correlates of serum myostatin concentrations in men. Design: We conducted a cross-sectional analysis of the STRAMBO cohort. Setting: Men holding private health insurance coverage with Mutuelle de Travailleurs de la Région Lyonnaise were included in the study. Participants: A total of 1121 male volunteers aged 20–87 yr participated in the study. Interventions: Nonfasting blood samples were collected. Main Outcome Measures: We measured the association of the investigated variables with circulating myostatin levels. Results: Serum myostatin levels increased slightly with age until 57 yr and then decreased. Circulating myostatin levels showed circannual variation, with the highest concentration in spring. In men older than 57 yr, serum myostatin levels decreased across increasing quartiles of body mass index and of total central and peripheral fat mass (P &lt; 0.05 to &lt; 0.001). Serum myostatin levels were positively correlated with serum levels of 25-hydroxycholecalciferol (25OHD), even after adjustment for season. Average myostatin levels were 0.47 sd higher in men with 25OHD above 40 ng/ml, compared with those with 25OHD below 20 ng/ml (P &lt; 0.05). Current smokers had lower myostatin concentration. Neither current physical activity nor serum levels of PTH, testosterone, and 17β-estradiol were associated with myostatin concentrations. Conclusions: In men, circulating myostatin levels show seasonal changes and are associated with age, body mass index, fat mass, smoking, and 25OHD levels.

scholarly journals Relationship between ultrasound bone parameters, lung function, and body mass index in healthy student population

2017 ◽  
Vol 68 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Selma Cvijetić ◽  
Ivana Sabolić Pipinić ◽  
Veda Maria Varnai ◽  
Jelena Macan
Keyword(s):  
Body Mass Index ◽  
Bone Density ◽  
Lung Function ◽  
University Students ◽  
Body Mass ◽  
Broadband Ultrasound Attenuation ◽  
Mineral Density ◽  
Cross Sectional ◽  
Bone Parameters ◽  
Ultrasound Bone

Abstract Low bone mineral density has been reported in paediatric and adult patients with different lung diseases, but limited data are available on the association between lung function and bone density in a healthy young population. We explored the predictors of association between bone mass and pulmonary function in healthy first-year university students, focusing on body mass index (BMI). In this cross-sectional study we measured bone density with ultrasound and lung function with spirometry in 370 university students (271 girls and 99 boys). Information on lifestyle habits, such as physical activity, smoking, and alcohol consumption were obtained with a questionnaire. All lung function and bone parameters were significantly higher in boys than in girls (P<0.001). Underweight students had a significantly lower forced vital capacity (FVC%) (P=0.001 girls; P=0.012 boys), while overweight students had a significantly higher FVC% than normal weight students (P=0.024 girls; P=0.001 boys). BMI significantly correlated with FVC% (P=0.001) and forced expiratory volume in 1 second (FEV1 %) in both genders (P=0.001 girls; P=0.018 boys) and with broadband ultrasound attenuation (BUA) in boys. There were no significant associations between any of the bone and lung function parameters either in boys or girls. The most important determinant of lung function and ultrasound bone parameters in our study population was body mass index, with no direct association between bone density and lung function.

scholarly journals The Correlation Between Low Body Mass Index (underweight) With Bone Strength On Eldery Women

2020 ◽  
Vol 16 (1) ◽  
pp. 14
Author(s):  
Shafira Dwi Resnasari
Keyword(s):  
Body Mass Index ◽  
Bone Density ◽  
Bone Strength ◽  
Body Mass ◽  
Elderly Women ◽  
P Value ◽  
Mineral Density ◽  
Elderly Age ◽  
Cross Sectional ◽  
Low Body Mass Index

Background : Osteoporosis is a degenerative disease that often happend at women in elderly age with low body mass index. Standard examination for osteoporosis is bone density examination also known as Bone Mineral Density (BMD). This tool can interpret the patient’s bone strengthObjective : This research aims to identify the correlation between low body mass index (underweight) with bone strength on elderly women.Method : This is an observational analytic research which used cross sectional design. The sample consist of 65 respondents. The data were analyzed by using Chi-square test.Result : The result shows a large group of respondents aged 60-65 years old with a percentage of 18.5% suffers from osteopenia and a percentage of 47.7% suffers from osteoporosis. Furthermore, a percentage of 13.8% in underweight respondents suffers from osteopenia and a percentage of 47.7 % suffers from osteoporosis.Conclusion : This research proves that there is a correlation between low body mass index with bone strength on elderly women with P-value amounting to 0.022 (P < 0.05) for variable relationships between elderly age with bone strength and P-value of 0.002 (P < 0.05) for variable relationships between low body mass index with bone strength.Keyword : Osteoporosis, Body Mass Index, Bone Density

scholarly journals Indeks Massa Tubuh (IMT) Dan Rasio Lingkar Pinggang Dan Panggul (RLPP) Sebagai Prediktor

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Yuriza Agustiningrum ◽  
Nur Lathifah Mardiyanti
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Risk Factor ◽  
Body Mass ◽  
The Elderly ◽  
Bivariate Analysis ◽  
Research Subjects ◽  
Cross Sectional ◽  
Regression Test ◽  
Logistic Regression Test

Abstract: Elderly, Hypertension, Body Mass Index, Waist Circumference and Hip. The problem of hypertension is one of the most common diseases in elderly people. Risk factors that can cause hypertension are obesity and central obesity. That is caused by the lack of appropriateness of eating intake with activity in the elderly are declining. So there is a possibility of normal BMI and RLPP will reduce the risk of hypertension. This study aims to determine IMT and RLPP measurements as a predictor of hypertension. This type of research is observational with cross-sectional design and the number of research subjects is 71 elderly who suffer from hypertension and not hypertension. Sampling using total sampling method. Data analysis was done by univariate and bivariate analysis using chi-square test and logistic regression test. The result of statistic test showed that there was a correlation between body mass index with hypertension 0,002 (p <0,002) and BMI was risk factor proved by RR 2,228 (CI 1,3333,723). There is a relationship between RLPP with hypertension 0.000 (p <0.000) and RLPP is hypertension risk factor with RR value 4,340 (CI 1,896-9,933). The result of BMT logistic regression test is not a predictor of hypertension, but RLPP is a predictor to determine hypertension with the formula Y = -3,614 + 2,285X1. It is advisable for the elderly to maintain normal RLPP in order to reduce the risk of hypertension.

scholarly journals Indeks Massa Tubuh dengan Keseimbangan Statis Pengguna Transtibial Prosthesis

2017 ◽  
Vol 8 (3) ◽  
pp. 425
Author(s):  
Nur Rachmat ◽  
Muhammad Syaifudin ◽  
Hanifah Hanifah
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fat Mass ◽  
Quantitative Research ◽  
The Body ◽  
Static Balance ◽  
Normal Body Mass Index ◽  
Cross Sectional ◽  
Transtibial Prosthesis ◽  
Highly Correlated

<p>The balance of a person's body is affected by the Body Mass Index. Body Mass Index is the easiest way to estimate obesity as well as to be highly correlated with body fat mass, but it is also important to identify obese patients who have a risk of medical complications. Purpose of this study was to know correlation body mass index with the static balance of transtibial prosthesis user. The study was a quantitative research with a cross-sectional design. Location research in BBRSBD Prof. Dr. Soeharso Surakarta with sample were patients with post-amputation of transtibial as many as 15 people. Analysis of data was used correlation Pearson test. There was a correlation between body mass index with the static balance of transtibial prosthesis user, the coefficient correlation of -0.646 with significant and levels of correlation moderate. The value of normal body mass index has the highest static balance than lean body mass index and fat. Mass Index of the skinny body has a moderate static balance. Obese body mass index has the lowest static balance of body mass index thin and normal. </p>

scholarly journals An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 701 ◽  
Author(s):  
Laurence Genton ◽  
Julie Mareschal ◽  
Véronique L. Karsegard ◽  
Najate Achamrah ◽  
Marta Delsoglio ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Running Speed ◽  
Fat Mass Index ◽  
Running Performance

A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the “Course de l’Escalade”, taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß −0.31; 95% CI −0.35 to −0.27, p < 0.001. men: ß −0.43; 95% CI −0.48 to −0.39, p < 0.001) and a reduction of FFMI in men (ß −0.20; 95% CI −0.26 to −0.15, p < 0.001). Adjusted for body composition, the decline in running performance occurred from 50 years onward, but appeared earlier with a body mass, FFMI or FMI above the median value at baseline. Changes of running speed are determined mostly by changes in FMI. The decline in running performance occurs from 50 years onward but appears earlier in people with a high body mass index, FFMI or FMI at baseline.

scholarly journals Correlation between dietary fat consumption with body mass index and body composition (a preliminary study in community based)

2019 ◽  
Vol 10 (2) ◽  
pp. 128-131
Author(s):  
Amelya Augusthina Ayusari ◽  
Budiyanti Wiboworini ◽  
Kusmadewi Eka Damayanti ◽  
Dwi Rahayu ◽  
Widardo Widardo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Total Cholesterol ◽  
Body Mass ◽  
Fat Mass ◽  
Health Science ◽  
Cross Sectional ◽  
Fat Consumption ◽  
Total Fat ◽  
Total P

Pendahuluan: Sejumlah penelitian menunjukkan hubungan antara konsumsi lemak dengan indeks massa tubuh dan komposisi tubuh. Penelitian ini bertujuan untuk mengetahui hubungan antara konsumsi harian lemak total, asam lemak tak jenuh ganda (PUFA) dan kolesterol total dengan beberapa paramater gizi. Metode: Penelitian ini merupakan studi cross-sectional, dengan 102 subjek. Pemeriksaan yang dilakukan adalah tinggi badan, berat badan, indeks massa tubuh dan pengukuran komposisi tubuh menggunakan timbangan komposisi tubuh Omron® HBF-212. Analisis konsumsi lemak total, asam lemak tak jenuh ganda dan kolesterol total menggunakan Software nutrisurvey 2007. Uji korelasi yang digunakan adalah Spearman Rho dengan menggunakan SpSS 21. Hasil: Konsumsi lemak total tidak berhubungan dengan indeks massa tubuh, massa lemak total, dan massa lemak visceral. Konsumsi PUFA berhubungan secara negatif dengan indeks massa tubuh (p <0,014, -0,24) dan massa lemak total (p <0,001, -0,326), sedangkan konsumsi total kolesterol total berhubugan secara negatif dengan indeks massa tubuh (p <0,019, -0,23), dan massa lemak total (p <0,001, -0,337). Kesimpulan: Ada hubungan antara konsumsi lemak dengan indeks massa tubuh dan komposisi tubuh. (Health Science Journal of Indonesia 2019;10(2):128-31) Kata kunci: konsumsi lemak; indeks massa tubuh; komposisi tubuh   Abstract Introduction: Studies showed some relation between fat consumption with body mass index and body composition. We conducted a study to investigate relationships between daily consumption of total fat, polyunsaturated fatty acid (PUFA) and total cholesterol with some nutritional parameters. Methods: This was cross-sectional study, with 102 subjects. The study was examined height, body weight, body mass index and body composition measurements using the Omron® HBF-212 body composition monitor. There was nutrisurvey 2007 to measure total fat, polyunsaturated fatty acid and total cholesterol consumption. We analyzed the correlation by using SpSS 21 (Spearman Rho) Results: Total fat consumption was not related to body mass index, total fat mass, and visceral fat mass. PUFA consumption was negatively associated with body mass index (p <0.014, -0.24) and total fat mass (p <0.001, -0.326), while consumption of total cholesterol was negatively associated with body mass index (p <0.019, -0.23), and total fat mass (p <0.001, -0.337) Conclusion: There was a relation between fat consumption with body mass index and body composition.(Health Science Journal of Indonesia 2019;10(2):128-31). Keywords: fat consumption; body mass index; body composition

scholarly journals Long term effects of a ketogenic diet with Mav Ketofast pro supplements in obese postmenopausal women

2017 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
Maria Vranceanu
Keyword(s):  
Body Mass Index ◽  
Bone Density ◽  
Total Cholesterol ◽  
Postmenopausal Women ◽  
Ketogenic Diet ◽  
Body Mass ◽  
Fat Mass ◽  
Hdl Cholesterol ◽  
Before And After ◽  
Fat Mass Loss

Background: The aim of this study was to determine the effects of a 24 weeks    ketogenic diet with MaV Ketofast pro supplement in obese postmenopausal women. Methods: In the present study, 22 obese postmenopausal women with a body mass index greater than 35 kg/m2 and high glucose, high cholesterol and high       triglycerides levels were selected. Anthropometric measurements evaluated were: height, weight, BMI, waist circumferences and FM (fat mass) baseline and after 12 weeks and 24 weeks. Total cholesterol, high density lipoprotein (HDL) cholesterol, triglycerides and fasting blood sugar were determined before and after the       administration of the ketogenic diet. The bone density score before and after    treatment has been evaluated. The patients ages varied from 52 to 68 years (with a mean age of 60.04 years). The average weight at the start of treatment for all patients was 105.27 kg. The initial BMI average was 39.2 kg/m2, initial FM=48.7% and waist circumference 130.04 cm. Results After 24 weeks of a ketogenic diet with MaV   Ketofast pro supplement the group lost an average of 19.87 kg. Fat mass loss was 10.8% and waist circumference decreased 22.04 cm. Body mass index of the patients decreased significantly. The level of total cholesterol decreased from week 1 to week 24, HDL cholesterol levels significantly increased and the level of triglycerides   decreased significantly following 24 weeks of treatment. The level of blood glucose significantly decreased. The changes in the level of bone density were not statistically significant. Conclusions: The present study demonstrates the beneficial effects of a long-term ketogenic diet in obese postmenopausal women. The KD (ketogenic diet) with Mav ketofast pro supplement significantly reduced the body weight and body mass index of the patients and increased the fat mass loss. Furthermore, it decreased the level of triglycerides, total cholesterol and blood glucose, and increased the level of HDL cholesterol. Administering a ketogenic diet for a relatively longer period of time did not produce any significant side effects in the patients. The bone density didn’t change during the ketogenic diet that means the diet it is safe and helpful for postmenopausal women.

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