The relationship between body mass index and body cell mass in African-American, Asian, and Caucasian adults

2003 ◽  
Vol 40 (S1) ◽  
pp. s305-s308 ◽  
Author(s):  
J. Wang ◽  
J. C. Thornton ◽  
S. B. Heymsfield ◽  
R. N. Pierson
2004 ◽  
Vol 52 (6) ◽  
pp. 886-891 ◽  
Author(s):  
Stefano Volpato ◽  
Franco Romagnoni ◽  
Lucia Soattin ◽  
Alessandro Blè ◽  
Vincenzo Leoci ◽  
...  

Nephrology ◽  
2019 ◽  
Author(s):  
Ana Valente ◽  
Cristina Caetano ◽  
Telma Oliveira ◽  
Cristina Garagarza

2018 ◽  
Vol 37 (3) ◽  
pp. 934-939 ◽  
Author(s):  
Mariangela Rondanelli ◽  
Jacopo Talluri ◽  
Gabriella Peroni ◽  
Chiara Donelli ◽  
Fabio Guerriero ◽  
...  

1983 ◽  
Vol 244 (3) ◽  
pp. E305-E310 ◽  
Author(s):  
S. H. Cohn ◽  
D. Vartsky ◽  
S. Yasumura ◽  
A. N. Vaswani ◽  
K. J. Ellis

In vivo neutron activation has provided investigators with a powerful tool for research on body composition. Total-body nitrogen (TBN), total-body potassium (TBK), and total-body water (TBW) were measured in 133 normal subjects. TBN, measured by neutron activation, is a measure of total-body protein, an index of body cell mass. TBK, also measured by a nuclear reaction, is an index of body cell mass as well as lean body mass. The mass and protein content of two compartments, muscle and nonmuscle lean tissue, were determined from the combined TBN-TBK data by compartmental analysis. In this study, nitrogen was separated into the actively metabolizing body cell mass component and the slowly metabolizing structural component. The TBK, which is 95% intracellular, was found to be more closely related to the actively metabolizing nitrogen than to TBN. The relationship of body cell mass, a concept originally proposed by Moore, to lean body mass, is shown through the relationship of TBN and TBK. The clinical significance of this study, is that TBK is the more sensitive and reliable indicator of changes in body cell mass. Maximum information on body composition, however, is obtained by the measurement of both TBK and TBN.


1973 ◽  
Vol 142 (1) ◽  
pp. 175-180 ◽  
Author(s):  
H.-P. Sheng ◽  
R. A. Huggins

1996 ◽  
Vol 4 (5) ◽  
pp. 451-456 ◽  
Author(s):  
Lucile L. Adams-Campbell ◽  
Kyung Sook Kim ◽  
Georgia Dunston ◽  
Amelia E. Laing ◽  
George Bonney ◽  
...  

2017 ◽  
Vol 1 (2) ◽  
pp. 108
Author(s):  
Taufiq Taufiq ◽  
Ari Fahrial Syam ◽  
C Rinaldi Lesmana ◽  
Suhendro Suwarto

Pendahuluan. Bioelectric Impedance Analysis (BIA) mulai banyak digunakan dalam mengevaluasi status nutrisi. Belum ada data penelitian nutrisi di Indonesia yang menggunakan BIA. Penelitian ini dilakukan untuk mengetahui perbedaan rerata hasil pemeriksaan BIA antara status nutrisi baik dan malnutrisi pada penderita penyakit gastrointestinal dan hati yang dirawat inap. Metode. Penelitian potong lintang retrospektif terhadap penderita yang dirawat inap di ruang perawatan interna RSCM periode 1 Juni-31 Desember 2013, untuk mengetahui perbedaan rerata hasil pemeriksaan BIA penderita status nutrisi baik dan malnutrisi pada penyakit gastrointestinal dan hati yang dirawat inap.Hasil. Dari 28 penderita dengan status nutrisi baik, 71,57% laki-laki, dan 21,47% wanita. Dari 28 penderita malnutrisi, 53,60% laki-laki, dan 46,40% wanita. Rerata hasil pemeriksaan BIA antara penderita nutrisi baik dan malnutrisi adalah: lean body mass,  49,5 ± 8,59 v s39,68 ± 6,28kg, p<0,001; body cell mass, 32,19 (20,49-40,95) vs 25,23 (17,83-31,64) kg, p=0,003; total body water, 35,69±1,17 vs 28,58±0,85 kg, p<0,001; dan phase angle 6,18◦(3,73-10,11)◦ vs 3,46◦ (0,40-6,51)◦; , p<0,001. Simpulan. Pada penderita penyakit gastrointestinal dan hati yang dirawat inap dengan status nutrisi baik, memiliki nilai body mass, body cell mass,total body water dan phase angle hasil pemeriksaan BIA yang lebih tinggi dibandingkan dengan penderita malnutrisi. 


2015 ◽  
Vol 100 (4) ◽  
pp. 1551-1560 ◽  
Author(s):  
Sani M. Roy ◽  
Alessandra Chesi ◽  
Frank Mentch ◽  
Rui Xiao ◽  
Rosetta Chiavacci ◽  
...  

Context: No consensus definition exists for excess adiposity during infancy. After age 2 years, high body mass index (BMI) is related to adverse cardiometabolic outcomes. Before age 2 years, the utility of BMI as a metric of excess adiposity is unknown. Objectives: The objective of the study was to characterize infant BMI trajectories in a diverse, longitudinal cohort and investigate the relationship between the infancy BMI trajectory and childhood obesity. Subjects: Healthy, nonpreterm infants (n = 2114) in the Genetic Causes for Complex Pediatric Disorders study (The Children's Hospital of Philadelphia) with six or more BMI measurements in the first 13.5 months participated in the study. Design: For each infant, the BMI trajectory was modeled using polynomial regression. Independent effects of clinical factors on magnitude and timing of peak BMI were assessed. The relationship between infancy BMI and early childhood BMI (age 4 y) was examined (n = 1075). Results: The cohort was 53% male and 61% African-American. Peak BMI was 18.6 ± 1.7 kg/m2 and occurred at 8.6 ± 1.4 months. In multivariate analysis, boys had a higher (0.50 kg/m2, P &lt; .001) peak BMI than girls. The peak was higher (0.53 kg/m2, P ≤ .001) and occurred earlier (by 12 d, P &lt; .001) in African-American vs white children. The odds of obesity at age 4 years increased among children with higher (odds ratio 2.02; P &lt; .001) and later (odds ratio 1.26; P = .02) infancy peak BMI. Conclusions: We demonstrate sex- and ancestry-specific differences in infancy BMI and an association of infancy peak BMI with childhood BMI. These findings support the potential utility of infancy BMI to identify children younger than age 2 years with increased risk for later obesity.


Sign in / Sign up

Export Citation Format

Share Document