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Background: Handgrip strength (HGS) is an important parameter to assess the upper extremity muscular strength. Aims and Objectives: Aim of the study is to record HGS in healthy young males and to compare with fat mass (FM), fat-free mass, fat-free mass index, and to find out which is better correlated. Materials and Methods: A total of one hundred and fourteen first year male medical students of age between 17 and 22 years were taken as sample. Results: The correlation between fat free mass, fat free mass index with HGS was found to be extremely significant whereas correlation between FAT%, FM with HGS was not significant. Conclusion: Increase in lean body mass increases muscular strength as fat-free mass and fat-free mass index positively and significantly correlated with HGS.
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PURPOSE: An increase in the prevalence of obesity has been observed in children and adolescents. As remarkable changes in body composition occur with growth during the adolescent period, it is important that changes in body composition be monitored. The purpose of this study was to propose reference percentile values for body composition indices including body mass index (BMI) in children and adolescents in Korea. MATERIALS AND METHODS: This study was performed using data from the Fourth and Fifth Korea National Health and Nutrition Examination Surveys. Body composition data were obtained using dual-energy X-ray absorptiometry. The percentile curves of body composition indices were constructed by the LMS method. RESULTS: A total of 2123 children and adolescents between the ages of 10 and 19 years were included in this study. We obtained the percentile curves for BMI and body composition indices. CONCLUSION: The reference values for body composition from this study could help with assessing body composition in Korean adolescents.
Subject(s)
Adolescent , Child , Female , Humans , Male , Adiposity , Body Composition , Body Mass Index , Nutrition Surveys , Reference Values , Republic of KoreaABSTRACT
A la fecha, pocos estudios han evaluado la relación entre las medidas antropométricas y la obsesión por la musculatura (OM). Por lo anterior, el propósito de este estudio fue examinar los correlatos antropométricos de la OM. 76 varones universitarios contestaron la Escala de Obsesión por la Musculatura e individualmente se midió su peso, su talla y cuatro panículos adiposos (biceps, triceps, supraescapular y suprailiaco). No se observaron correlaciones significativas entre la puntuación total de la OM y los indicadores antropométricos (índice de masa corporal, densidad corporal, porcentaje de grasa, índice de masa libre de grasa e índice cintura cadera). Los índices antropométricos no se relacionaron con la OM, lo cual sugiere que la composición corporal actual de los participantes no se relaciona con la OM. El hecho de que el índice de masa libre de grasa no se relacionó con la OM es notable porque se esperaría mayor OM en los hombres con musculatura media. Una posible explicación es que la OM podría asociarse con la figura corporal, más que con la masa muscular corporal. Los hallazgos del presente estudio incrementan nuestro conocimiento de la OM en varones y pueden contribuir en el diseño de intervenciones enfocadas a disminuir la OM.
To date, few studies have assessed the relationship between anthropometric measures and drive for muscularity (DM). Therefore, the purpose of this study was to examine anthropometric correlates of DM. 76 college men answered the Drive for Muscularity Scale, and individually their weight, height and four skinfolds (biceps, triceps, suprascapular, and suprailiac) were measured. There were no significant correlations between DMS total score and anthropometric indicators (body mass index, body density, body-fat percentage, fat-free mass index, and waist to hip ratio). Anthropometric indices were not related to the DM, suggesting that the current body composition of participants was not related to the DM. The fact that the fat-free mass index was not associated with DM is significant because we expect more DM in men with average muscularity. One possible explanation is that the DM could be associated with body shape, rather than lean body mass. The findings of this study increase our understanding of the DM in men and may help in designing interventions to decrease the DM.
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Objective To explore the relationship between body composition index and blood pressure of children, and to provide bases for early prevention against adult diseases. Methods A total of 4326 children aged 7-12 participated in this study, with height, weight, skinfold thickness (SFT)and blood pressure(BP)of all subjects measured. Body fat percentage(BF%)were calculated by regression equation, fat mass index(FMI)and fat-free mass index(FFMI)were calculated according to following expressions: FMI(kg/m2)=BF% × weight/height2 and FFMI(kg/m2)=(weight - BF% × weight)/height2. Results Systolic blood pressure(SBP)and diastolic blood pressure(DBP)were positively correlated with FMI and FFMI in both boys and girls. Correlation coefficients between SBP, DBP and FMI were 0.432-0.531, 0.316-0.450 for boys, and 0.413-0.485, 0.345-0.421 for girls respectively and the correlation coefficients between SBP, DBP and FFMI were 0.214-0.366, 0.090-0.250 for boys, and 0.108-0.383, 0.063-0.214 for girls respectively. The coefficient between BP and FMI were larger than those between BP and FFMI. The mean values of FMI and FFMI of children with high BP were significantly higher than those normal children, especially showed in FMI. Conclusion In order to prevent hypertension among children,priority should be comcentrated on controlling body fat and preventing obesity.
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The aim of this study is to obtain body composition parameters for early detection of PEM in non dialysis CKD (ND-CKD) patients. The study was carried out using the cross sectional design. The subjects of the study consist of 45 ND-CKD patients and 45 healthy subjects matched for age, gender, height and body mass index (BMI). The nutritional status of patients and healthy subjects were classified based on BMI (WHO, 1995) into low, normal and high nutritional status groups. Fat free mass (FFM), FFM-index (FFM-I) and percentage of fat mass (FM percentage) in patients measured by anthropometric technique showed no significant difference with healthy subjects. Using the BIA method, FFM and FFM-I were significantly lower in the ND-CKD patients compared to the healthy subjects (p < 0,05). Significant difference in FFM, FFM-I, FM and FM percentage was observed between the patients with different nutritional status. (p < 0,001). Trend analysis statistical test showed that there is linear correlation of FFM, FFM-I and FM with nutritional status classification. FFM, FFM-I, FM and FM percentage in ND-CKD patients were not significantly different between the three stages of CKD. There was an acceptable degree of agreement between BMI with FFM-I for nutritional assessment in ND-CKD patients. The Receiver Operating Curve test showed the cut off points of FFM-I 14.23 kg/m2 to differentiate undernutrition and normal nutritional status in ND-CKD patients. This study showed FFM-I has good correlation with BMI and can be used to differentiate degrees of nutritional status in stage 3, 4 and 5 ND-CKD patients. FFM-I considered predictor parameters for nutritional status screening in ND-CKD patients.
Subject(s)
Nutritional Status , Renal Insufficiency, ChronicABSTRACT
BACKGROUND: Sex specific cross sectional reference values for the lung function indices usually employ a linear model with a term for age and height. The purpose of this study was to determine the effects of the body mass index (BMI), the fat percentage of the body mass and the fat-free mass index (FFMI) on the forced expiratory volume curve. METHOD: Between January 2000 and December 2001, a total of 300 subjects, 150 men and 150 women (mean age : 45+/-13 years), with a normal lung function were enrolled in the study sample. This study measured the FEV1, FVC and FEF25-75% from the forced expiratory volume curve by a spirometer and the body composition by a bioelectrical impedance method in all subjects. Multiple regression analysis was used in order to examine the effects of the body composition on the parameters derived from the forced expiratory volume curve. RESULT: After adjusting for age, the BMI and Fat percentage improved the descriptions of the FVC (p<0.05, r2=0.491) and FEV1 (p<0.05, r2=0.654) in women. In contrast, the FFMI contributed significantly to the FVC (p<0.05, r2=0.432) and FEV1 (p<0.05, r2=0.567) in men. The FEF25-75% correlated with the fat percentage in women (p<0.05, r2=0.337). CONCLUSION: These results suggest that the BMI, the fat percentage and the FFMI are significant determinants of the forced expiratory volume curve. The pulmonary function test, when considering the BMI, the fat percentage and the FFMI, might be useful in clinical applications.