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 < 0.05 to < 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 < 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 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>

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 Frequency of Eating Out at Both Fast-Food and Sit-Down Restaurants Was Associated With High Body Mass Index in Non-Large Metropolitan Communities in Midwest

2016 ◽  
Vol 32 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Surabhi Bhutani ◽  
Dale A. Schoeller ◽  
Matthew C. Walsh ◽  
Christine McWilliams
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fast Food ◽  
Community Education ◽  
High Body Mass Index ◽  
The Body ◽  
Ancillary Data ◽  
Cross Sectional ◽  
Data Set ◽  
Sectional Analysis

Purpose: We investigated the associations between frequency of eating at fast-food, fast-casual, all-you-can-eat, and sit-down restaurants and the body mass index (BMI) in non-large metro Wisconsin communities. To inform prevention efforts, we also analyzed the socioeconomic/environmental and nutrition attitudes/behavior variables that may drive the frequent eating away from home. Design: Cross-sectional analysis of an ancillary data set from the Survey of Health of Wisconsin collected between October 2012 and February 2013. Setting: Six Wisconsin counties: 1 classified as rural, 1 as large fringe metro, and 4 as small metro. Subjects: Adults ≥18 years (N = 1418). Measures: Field staff measured height and weight and administered a survey on the frequency of eating away from home, and socioeconomic and nutritional behavior variables. Analysis: Multivariable regression. Results: The BMI of respondents averaged 29.4 kg/m2 (39% obese). Every 1-meal/week increase in fast-food and sit-down restaurant consumption was associated with an increase in BMI by 0.8 and 0.6 kg/m2, respectively. Unavailability of healthy foods at shopping and eating venues and lack of cooking skills were both positively associated with consumption of fast-food and sit-down meals. Individuals who described their diet as healthy, who avoided high-fat foods, and who believed their diet was keeping their weight controlled did not visit these restaurants frequently. Conclusion: Obesity prevention efforts in non-large metro Wisconsin communities should consider socioeconomic/environmental and nutritional attitudes/behavior of residents when designing restaurant-based or community education interventions.

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