scholarly journals Influence of Body Fat Content and Distribution on Variation in Metabolic Risk

2006 ◽  
Vol 91 (11) ◽  
pp. 4459-4466 ◽  
Author(s):  
Gloria Lena Vega ◽  
Beverley Adams-Huet ◽  
Ron Peshock ◽  
DuWayne Willett ◽  
Brijen Shah ◽  
...  
Keyword(s):  
Risk Factors ◽  
Waist Circumference ◽  
Body Fat ◽  
Plasma Lipids ◽  
Metabolic Risk ◽  
Lower Body ◽  
Reactive Protein ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Total Body

Abstract Objectives: Several reports indicate that the body fat compartments, especially ip fat, predict metabolic risk better than total body fat. The objective of the study was to determine whether this can be confirmed and generalized throughout the population. Participants: A representative sample of 1934 Black and White women and men of the Dallas Heart Study participated in the study. Design: We measured the fat in total body, trunk, and lower body with dual-energy x-ray absorptiometry and in abdominal compartments (sc, ip, and retroperitoneal) with magnetic resonance imaging. Other measurements included body mass index (BMI), waist circumference, blood pressure, plasma lipids, glucose, insulin (including homeostasis model), and C-reactive protein. Results: In all groups, total body fat correlated positively with key metabolic risk factors, i.e. homeostasis model, triglyceride/high-density lipoprotein-cholesterol ratios, C-reactive protein, and blood pressure; however, it explained less than one third of the variability of all the risk factors. After adjustment for total body fat, truncal fat conferred additional positive correlation with risk factors. Furthermore, with multivariable regression analysis, ip fat conferred independent correlation with plasma lipids beyond a combination of other compartments including truncal fat. Still, except for insulin levels, all combinations including ip fat still explained less than one third of the variability in risk-factor levels. Conversely, lower body fat correlated negatively with risk factors; i.e. lower body fat appeared to offer some protection against risk factors. Conclusions: Body fat distribution has some influence on risk factors beyond total body fat content. Both waist circumference and BMI significantly predicted risk factors after adjustment for total body fat, and for clinical purposes, most of the predictive power for men was contained in waist circumference, whereas for women, BMI and waist circumference were similarly predictive. Finally, even though the correlations between combined body fat parameters and risk factors explained only a portion of the variation in the latter, the average number of categorical metabolic risk factors increased progressively with increasing obesity. Hence, obesity seemingly has more clinical impact than revealed in these correlative studies.

scholarly journals Excess body fat in obese and normal-weight subjects

2012 ◽  
Vol 25 (1) ◽  
pp. 150-161 ◽  
Author(s):  
E. Louise Thomas ◽  
Gary Frost ◽  
Simon D. Taylor-Robinson ◽  
Jimmy D. Bell
Keyword(s):  
Risk Factors ◽  
Body Fat ◽  
Normal Weight ◽  
Ectopic Fat ◽  
Metabolic Risk ◽  
Body Adiposity ◽  
Total Body Fat ◽  
Abdominal Visceral Fat ◽  
Total Body

Excess body adiposity, especially abdominal obesity and ectopic fat accumulation, are key risk factors in the development of a number of chronic diseases. The advent of in vivo imaging methodologies that allow direct assessment of total body fat and its distribution have been pivotal in this process. They have helped to identify a number of sub-phenotypes in the general population whose metabolic risk factors are not commensurate with their BMI. At least two such sub-phenotypes have been identified: subjects with normal BMI, but excess intra-abdominal (visceral) fat (with or without increased ectopic fat) and subjects with elevated BMI (> 25 kg/m2) but low visceral and ectopic fat. The former sub-phenotype is associated with adverse metabolic profiles, while the latter is associated with a metabolically normal phenotype, despite a high BMI. Here, examples of these phenotypes are presented and the value of carrying out enhanced phenotypical characterisation of subjects in interventional studies discussed.

Total body fat content and fat topography are associated differently with in vivo glucose metabolism in nonobese and obese nondiabetic women

Diabetes ◽  
1992 ◽  
Vol 41 (9) ◽  
pp. 1151-1159 ◽  
Author(s):  
E. Bonora ◽  
S. Del Prato ◽  
R. C. Bonadonna ◽  
G. Gulli ◽  
A. Solini ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Body Fat ◽  
Fat Content ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Total Body

scholarly journals Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Middle Aged ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

Oxygen consumption, activity and body fat in normal and hairless mice

1982 ◽  
Vol 16 (2) ◽  
pp. 167-171 ◽  
Author(s):  
H. T. Donnelly
Keyword(s):  
Oxygen Consumption ◽  
Spontaneous Activity ◽  
Body Fat ◽  
Fat Content ◽  
Hairless Mice ◽  
Nmri Mice ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Consumption Activity ◽  
Total Body

The oxygen consumption and spontaneous activity of A2G ( hr/+), A2G ( hr/hr) and NMRI mice in groups of 2, 3, or 5 were measured, and body fat content was also determined. Average rates of oxygen consumption were found to be lowest in the A2G ( hr/+) and highest in the A2G ( hr/hr) mice, and conversely for the proportion of total body fat. There was no difference in activity of A2G ( hr/+) and A2G ( hr/hr), but the NMRI mice were more active.

scholarly journals Rabbit Lines Divergently Selected for Total Body Fat Content: Correlated Responses on Growth Performance and Carcass Traits

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1815
Author(s):  
Rozália Kasza ◽  
Tamás Donkó ◽  
Zsolt Matics ◽  
István Nagy ◽  
Ádám Csóka ◽  
...  
Keyword(s):  
Growth Performance ◽  
Body Fat ◽  
Carcass Traits ◽  
Fat Content ◽  
Wire Mesh ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Lean Line ◽  
Selection For ◽  
Total Body

The aim of this experiment was to study the effect of divergently selected rabbits for total body fat content (fat index) on growth performance and carcass traits. The fat index was determined at 10 weeks of age by computed tomography and lasted for four consecutive generations. The rabbits with the lowest fat index belonged to the lean line and those of the highest values belonged to the fat line. At generation four, 60 rabbits/line were housed in wire-mesh cages and fed with commercial pellet ad libitum from weaning (5 w of age) to slaughtering (11 w of age). Growth performance, dressing out percentage and carcass adiposity were measured. The lean line showed a better feed conversion ratio (p < 0.001) than the fat line. Furthermore, the carcass of the lean rabbits had the highest proportion of fore (p < 0.020) and hind (p < 0.006) parts. On the contrary, rabbits of the fat line had the highest carcass adiposity (p < 0.001). The divergent selection for total body fat content showed to be effective for both lean and fat lines. Selection for lower total body fat content could be useful for terminal male lines, while the selection for higher total body fat content could be an advantage for rabbit does in providing fat (energy) reserves.

scholarly journals Seasonal change in body fat of the Hyrax Procavia capensis (Pallas, 1766) using a body fat ranking index

Koedoe ◽  
1985 ◽  
Vol 28 (1) ◽  
Author(s):  
L.J. Fourie ◽  
M.R. Perrin
Keyword(s):  
Seasonal Change ◽  
Body Fat ◽  
Seasonal Variations ◽  
Physiological Condition ◽  
The Body ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Procavia Capensis ◽  
Total Body ◽  
Ranking Index

Changes in the body fat content of the hyrax Procavia capensis were used as an indicator of physiological condition. Body fat rankings for the different sexes showed seasonal variations related to physiologically stressful periods (rutting, gestation and lactation). The subjective body fat rankings were correlated significantly with total body fat.

Body fatness, insulin sensitivity and muscle oxygen supply in adolescents

2002 ◽  
Vol 103 (4) ◽  
pp. 391-396 ◽  
Author(s):  
Fiona E. ARROWSMITH ◽  
Julie WARD ◽  
Kieron ROONEY ◽  
Adamandia D. KRIKETOS ◽  
Louise A. BAUR ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Body Fat ◽  
Oxygen Supply ◽  
Subcutaneous Fat ◽  
Fat Content ◽  
Body Fatness ◽  
Muscle Oxygen ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Total Body

Muscle blood flow can be reduced in insulin-resistant states. The present study examined the importance of body fatness and insulin sensitivity as variables that may be associated with muscle oxygen supply. We studied 38 adolescents (22 males, 16 females; age 15.3–18.6 years; body mass index 17.7–34.7kg/m2) and used near-IR spectroscopy to measure the muscle re-oxygenation rate after ischaemic finger flexion exercise. Total body fat content was estimated by bioelectrical impedance analysis, and insulin sensitivity was assessed by homoeostasis model assessment. Regional lipid compartments were also assessed for potential associations with muscle oxygen supply. Abdominal adiposity (visceral and subcutaneous) was assessed by magnetic resonance imaging, and soleus intramyocellular lipid levels were determined by magnetic resonance spectroscopy. Total body fat content (r = 0.67, P<0.001), abdominal subcutaneous fat area (r = 0.78, P<0.001), abdominal visceral fat area (r = 0.54, P<0.001) and intramyocellular lipid levels (r = 0.68, P<0.001) were significantly related to forearm re-oxygenation half-time. After adjusting for insulin sensitivity, both total body fat content (r = 0.395, P = 0.02) and abdominal subcutaneous fat area (r = 0.543, P = 0.001) remained positively associated with relatively reduced muscle oxygen supply in adolescent subjects. After adjusting for body fat content, abdominal subcutaneous fat area (r = 0. 511, P = 0.002) was significantly associated with muscle oxygen supply. Thus muscle oxygen supply is associated with body fat content, and certain fat compartments may be more influential than others.

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