Assessment and relation of total and regional fat mass with bone mineral content among Indian urban adolescents

Author(s):  
Raman K. Marwaha ◽  
M.K. Garg ◽  
Kuntal Bhadra ◽  
Namita Mahalle ◽  
Ambrish Mithal ◽  
...  

AbstractFat mass (FM) has been shown to have an effect on bone mass accrual. Though gender and ethnic differences in body composition and bone accrual during puberty have been reported, there are limited data available for Indian children and adolescents.To generate age and gender based percentile charts of FM among urban Indian children and adolescents and to evaluate the relationship with pubertal status and bone mineral content (BMC).There were 1403 children and adolescents (boys: 826; girls: 577) in the study.Total and regional FM, BMC, and pubertal staging were assessed. Fat mass index (FMI), FM/height ratio and BMC/FM ratio, were calculated.The age of the study population ranged from 5 to 18 years, with a mean age of 13.2±2.7 years (boys: 13.0±2.7; girls: 13.4±2.8 years). Total and regional FM as well as FMI increased with increasing age in both genders. The highest percent increase in mean total FM occurred in the age group >8–11 years and decreased thereafter. The total and regional FM was higher in more advanced stages of pubertal maturation. There was no difference in total and regional FM between genders in prepubertal group. The age and pubertal associated increase in FM was significantly higher in girls than boys (p<0.0001). Total as well as regional FM and FMI were positively correlated with age, body mass index, total lean mass, and BMC even after adjusting for age, lean mass, and biochemical parameters.Total and regional FM increased with age and pubertal maturation in both genders. FM was positively correlated with BMC.

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S439
Author(s):  
Gunnhildur Hinriksdóttir ◽  
Sigurbjörn Á. Arngrímsson ◽  
Mark M. Misic ◽  
Daina M. Mallard ◽  
Ellen M. Evans

2002 ◽  
Vol 10 (1) ◽  
pp. 56-60 ◽  
Author(s):  
Angelo Pietrobelli ◽  
Myles S. Faith ◽  
Jack Wang ◽  
Paolo Brambilla ◽  
Giuseppe Chiumello ◽  
...  

2018 ◽  
Vol 45 (2) ◽  
pp. 5-11
Author(s):  
M. G. Nikolova ◽  
A. B. Penkov ◽  
M. A. Boyanov

Abstract Obesity has been linked with vitamin D deficiency in a number of cross-sectional studies, reviews and meta-analyses. The aim of the present study was to assess the correlations of plasma 25(OH) vitamin D levels with indices of body composition examined by DXA with an emphasis on lean and bone mass as well as on indices such as android/gynoid fat, appendicular lean mass, fat-mass indexes (FMI) and fat-free mass indexes (FFMI). 62 adult subjects consented to participate – 27 men (43.5%) and 35 women (56.5%). Their mean age was 45.3 ± 9.5 years. Fan-beam dual-energy X-ray (DXA) body composition analysis was performed on a Lunar Prodigy Pro bone densitometer with software version 12.30. Vitamin D was measured by electro-hemi-luminescent detection as 25(OH) D Total (ECLIA, Elecsys 2010 analyzer, Roche Diagnostics). Statistical analyses were done using the SPSS 23.0 statistical package. The serum 25(OH)D level was correlated significantly only to the whole body bone mineral content, the appendicular lean mass index (ALMI) and the ALM-to-BMI index, underlining a predominant role for lean and fat-free mass. Vitamin D showed a very weak correlation to % Body Fat and the Fat Mass Index (FMI) in men only. Moreover, the multiple regression equation including the associated parameters could explain only 7% of the variation in the serum 25(OH) D levels. Our conclusion was, that there are differences in the associations of the vitamin D levels with the different body composition indices, but these associations are generally very weak and therefore – negligible.


1996 ◽  
Vol 14 (3) ◽  
pp. 167-170 ◽  
Author(s):  
Gwy Suk Seo ◽  
Masataka Shiraki ◽  
Jun Aoki ◽  
Osamu Karakida ◽  
Choju Aoki

2001 ◽  
Vol 20 (5) ◽  
pp. 502-509 ◽  
Author(s):  
Lisa M. Carter ◽  
Susan J. Whiting ◽  
Donald T. Drinkwater ◽  
Gordon A. Zello ◽  
Robert A. Faulkner ◽  
...  

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Laura M Castelli ◽  
Paula M Miotto ◽  
Rebecca EK MacPherson ◽  
Bryan D Johnston ◽  
Paul J LeBlanc ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Hiroshi Ogawa ◽  
Toshimitsu Koga ◽  
Daisuke Fuwa ◽  
Hirofumi Tamaki ◽  
Takayuki Nanbu ◽  
...  

Abstract Background and Aims Patients on hemodialysis are prone to undernutrition, malnutrition-inflammation-atherosclerosis (MIA) syndrome, and protein-energy wasting (PEW). One of the major adipocytokines adiponectin (ADPN) is involved in anti-arteriosclerotic and anti-inflammatory processes. However, ADPN is implicated in muscle weakness and loss of muscle mass in the elderly in addition to sarcopenia. At the 2019 ERA-EDTA Congress, we announced that total plasma ADPN levels in patients on hemodialysis (HD) showed a significant inverse correlation with BMI, body fat in percentage, mass and estimated skeletal muscle mass, and ADPN may be involved in sarcopenia in patients on HD. Herein, we investigated the association of ADPN level with sarcopenia in patients on HD using a method different from the one used in our previous study. We examined the relationship between total plasma ADPN level and the rate of change in estimated skeletal muscle mass, bone mineral content, and body fat mass over 5 years after the plasma ADPN measurement. Furthermore, we analyzed whether an elevated ADPN level was predictive of a subsequent decline in these parameters. Method Total plasma ADPN levels were measured using ELISA (Bio Vendor-Laboratorni Medicina a.s., Czech Republic) in 42 male patients on HD (age: 51.1 ± 9.0 years, dialysis vintage: 144.8 ± 99.2 months, BMI: 21.8 ± 3.2, dry BW: 62.0 ± 10.9 kg, dialysis time: 15.6 ± 3.1 hours/week). The estimates of skeletal muscle mass, bone mineral content, and body fat mass were made using multi-frequency bioelectrical impedance analysis (MFBIA) within the same year when total plasma ADPN level were first measured in 2011 as well as in 2016. We then calculated the rates of change in the estimated skeletal muscle mass, bone mineral content, and body fat mass over the 5 years and correlated these parameters with the total plasma ADPN measurements. Results Conclusion Total plasma ADPN levels inversely correlate with larger rates of decrease in estimated skeletal muscle mass and bone mineral content in patients on HD. This suggests that ADPN may play a role in the decline in skeletal muscle mass and bone mineral content over time in patients on HD.


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