Glucose ingestion affects cardiac ANS in healthy subjects with different amounts of body fat.

1997 ◽  
Vol 273 (3) ◽  
pp. E471 ◽  
Author(s):  
G Paolisso ◽  
D Manzella ◽  
N Ferrara ◽  
A Gambardella ◽  
P Abete ◽  
...  

Low-to-high frequency ratio (LF/HF) is an indirect index of sympathovagal balance derived by heart rate spectral analysis. We investigated the effect of glucose ingestion on LF/HF in 17 healthy, normotensive young subjects (9 male, 8 female) with a wide body fat content range (body fat = 29 +/- 5.9%; range = 19-42%) and a normal thyroid hormone status. Before and after an oral glucose tolerance test (OGTT), the Holter technique and indirect calorimetry allowed us to determine heart rate and substrate oxidation in all subjects. At baseline, LF/HF correlated with body fat (r = 0.60, P < 0.005), waist-to-hip ratio (r = 0.57, P < 0.01), fasting plasma insulin (r = 0.55, P < 0.04), leptin (r = 0.56, P < 0.01), and norepinephrine (r = 0.58, P < 0.009) concentrations. Age-, body fat-, content-, and fat-free mass-adjusted respiratory quotient (r = 0.59, P < 0.007) and basal metabolic rate (r = 0.61, P < 0.001) were also correlated with basal LF/HF. Along with OGTT plasma glucose, insulin and norepinephrine concentrations and basal LF/HF significantly rose at 60 min and then declined throughout the test. Area under the curve (AUC) for LF/HF correlated with body fat (r = -0.66, P < 0.004), fasting plasma leptin concentration (r = -0.57, P < 0.01), glucose induced thermogenesis (r = 0.62, P < 0.001), glucose uptake (r = 0.59, P < 0.007), and AUC for plasma norepinephrine concentration (r = 0.63, P < 0.001). Water instead of glucose ingestion does not significantly affect LF/HF (n = 8). In conclusion, our study supports the hypothesis that glucose ingestion affects LF/HF and that such change is related to the amount of body fat.

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

animal ◽  
2020 ◽  
pp. 100096
Author(s):  
Z. Matics ◽  
Z. Gerencsér ◽  
R. Kasza ◽  
K. Terhes ◽  
I. Nagy ◽  
...  

2013 ◽  
Vol 73 ◽  
pp. 56-80 ◽  
Author(s):  
E.L. Thomas ◽  
J.A. Fitzpatrick ◽  
S.J. Malik ◽  
S.D. Taylor-Robinson ◽  
J.D. Bell

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Elisabet Forsum ◽  
Eva Flinke Carlsson ◽  
Hanna Henriksson ◽  
Pontus Henriksson ◽  
Marie Löf

Childhood overweight and obesity, a worldwide problem, is generally identified using BMI (body mass index). However, this application of BMI has been little investigated in children below 5 years of age due to a lack of appropriate methods to assess body composition. Therefore, we used air displacement plethysmography (ADP) to study 4.4-year old boys and girls since this method is accurate in young children if they accept the requirements of the measurement. The purpose was to analyze the relationship between BMI and body fat in these children. Body composition was assessed in 76 (43 boys, 33 girls) of the 84 children brought to the measurement session. Boys and girls contained25.2±4.7and26.8±4.0% body fat, respectively. BMI-based cut-offs for overweight could not effectively identify children with a high body fat content. There was a significant (P<0.001) but weak (r=0.39) correlation between BMI and body fat (%). In conclusion, requirements associated with a successful assessment of body composition by means of ADP were accepted by most 4-year-olds. Furthermore, BMI-based cut-offs for overweight did not effectively identify children with a high body fatness and BMI explained only a small proportion of the variation in body fat (%) in this age group.


1980 ◽  
Vol 77 (2) ◽  
pp. 149-152 ◽  
Author(s):  
SHARLEEN MATTER ◽  
ARTHUR WELTMAN ◽  
BRYANT A. STAMFORD

2016 ◽  
Vol 34 (2) ◽  
pp. 153 ◽  
Author(s):  
Jonguk Choi ◽  
Sunghoon Kim ◽  
Sunghoon Hur ◽  
Jongsam Lee

1995 ◽  
Vol 79 (3) ◽  
pp. 818-823 ◽  
Author(s):  
A. S. Ryan ◽  
R. E. Pratley ◽  
D. Elahi ◽  
A. P. Goldberg

Percent body fat increases with age and is often accompanied by a loss in muscle mass, strength, and energy expenditure. The effects of 16 wk of resistive training (RT) alone or with weight loss (RTWL) on strength (isokinetic dynamometer), body composition (dual-energy X-ray absorptiometry), resting metabolic rate (RMR) (indirect calorimetry), and sympathetic nervous system activity (catecholamines) were examined in 15 postmenopausal women (50–69 yr). RT resulted in significant improvements in upper and lower body strength in both groups (P < 0.01). The nonobese women in the RT group (n = 8) did not change their body weight or fat mass with training. In the obese RTWL group (n = 7), body weight, fat mass, and percent body fat were significantly decreased (P < 0.001). Fat-free mass and RMR significantly increased with training in both groups combined (P < 0.05). There were no significant changes in resting arterialized plasma norepinephrine or epinephrine levels in either group with training. RT increases strength with and without weight loss. Furthermore, RT and RTWL increase fat-free mass and RMR and decrease percent fat in postmenopausal women. Thus, RT may be a valuable component of an integrated weight management program in postmenopausal women.


2020 ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He

Abstract Background: This study compared the relationship between thyroid hormones and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus (T2DM) in China. Methods: A total of 64 male patients who were diagnosed as T2DM and 64 non-diabetic males who underwent health examination were matched according to age at a 1:1 ratio. Results: The 32 subjects in each sub-group showed differences in age, body mass index (BMI), mean arterial pressure, waist circumference, visceral fat content, body fat percentage, HbA1c, HOMA-IR, FT3, TSH, HDL-c, adiponectin, leptin, visfatin and TNF-α (all P < 0.05). In the overall population, FT3 was positively correlated with body fat percentage (r=0.21, P=0.02), and negatively correlated with HOMA-IR (r=-0.18, P=0.04) and visfatin (r=-0.47, P <0.01); TSH was positively correlated with body fat percentage (r=0.23, P=0.01). In the T2DM-OB group FT3 was positively correlated with BMI (r=0.45, P <0.05), visceral fat content (r=0.50, P <0.05), and body fat percentage (r=0.44, P <0.05); FT4 was positively correlated with visceral fat content (r=0.38, P <0.05); and TSH was positively correlated with HOMA-IR (r=0.39, P <0.05). Conclusion: TSH increased in obese people and FT3 was lower in patients with T2DM.


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