EFFECT OF EXERCISE AND GLYCEMIC INDEX OF CARBOHYDRATE FEEDING ON POSTPRANDIAL CHOLESTEROL, LDL, HDL, AND ENERGY EXPENDITURE RATE

2015 ◽  
Vol 31 (10) ◽  
pp. S301
Author(s):  
M. Kaviani ◽  
P. Chilibeck ◽  
P. Yee ◽  
G. Zello
2015 ◽  
Vol 47 ◽  
pp. 489
Author(s):  
Mojtaba Kaviani ◽  
Philip David Chilibeck ◽  
Peter Yee ◽  
Gordon Zello

2008 ◽  
Vol 295 (5) ◽  
pp. E1126-E1131 ◽  
Author(s):  
Kelly B. Scribner ◽  
Dorota B. Pawlak ◽  
Cristin M. Aubin ◽  
Joseph A. Majzoub ◽  
David S. Ludwig

A high-glycemic index (GI) diet has been shown to increase adiposity in rodents; however, the long-term metabolic effects of a low- and high-GI diet have not been examined. In this study, a total of 48 male 129SvPas mice were fed diets high in either rapidly absorbed carbohydrate (RAC; high GI) or slowly absorbed carbohydrate (SAC; low GI) for up to 40 wk. Diets were controlled for macronutrient and micronutrient content, differing only in starch type. Body composition and insulin sensitivity were measured longitudinally by DEXA scan and oral glucose tolerance test, respectively. Food intake, respiratory quotient, physical activity, and energy expenditure were assessed using metabolic cages. Despite having similar mean body weights, mice fed the RAC diet had 40% greater body fat by the end of the study and a mean 2.2-fold greater insulin resistance compared with mice fed the SAC diet. Respiratory quotient was higher in the RAC group, indicating comparatively less fat oxidation. Although no differences in energy expenditure were observed throughout the study, total physical activity was 45% higher for the SAC-fed mice after 38 wk of feeding. We conclude that, in this animal model, 1) the effect of GI on body composition is mediated by changes in substrate oxidation, not energy intake; 2) a high-GI diet causes insulin resistance; and 3) dietary composition can affect physical activity level.


2021 ◽  
Vol 12 (5) ◽  
pp. 490-495
Author(s):  
Sathish Akki ◽  
◽  
Nirmala Bangi ◽  
Suresh Batta ◽  
Nagaraj Basani ◽  
...  

A study was conducted to ease the fodder cutting operations a commercially available hand chaff cutter (Sokhiya Agricultural Industries, Jaipur, India) during 2019–20 in the Department of Farm Machinery and Power Engineering at College of Agricultural Engineering, Sangareddy, Telangana, India. The assessment was done using with 3 different age group female workers who regularly feed to the animals to assess its suitability for workers of the southern region of India. The parameters used for the Ergonomical evaluation include machine operation at different forces are heart rate, pulse rate, oxygen consumption rate, and energy expenditure rate. The average heart rate for female subjects of P1, P2 and P3 was recorded before the operation is 79, 76 and 81 beats min-1 and after the operation is 109, 108 and 113 beats min-1 for various fodders. The average pulse rate for female subjects of P1, P2, and P3 was recorded before the operation is 62, 68, and 63 beats min-1 and after the operation is 80, 80, and 82 beats min-1 for various fodders. The average oxygen consumption rate and energy expenditure rate of female subjects of P1, P2 and P3 were found to be 0.61, 0.59 and 0.66 liter min-1, and 12.68, 12.36 and 13.74 KJ min-1 respectively after operation of chaff cutter. The physiological parameters are heart rate, pulse rate, oxygen consumption rate, and energy consumption rate increased more rapidly for all age group female workers after operation of chaff cutter with 3 various fodders.


Author(s):  
Robert B. Andrews

Different bases upon which linear regression equations can be constructed for estimating values of energy expenditure rate from observed values of heart rate are examined. Approximately 100 different regression equations corresponding to different bases were developed from 510 observations made of 11 different tasks. The regression equations constructed on the various bases are compared with one another and with respiratory calorimetry in terms of the experimental error which each introduces into the estimation of energy expenditure. The results suggest that for certain kinds of investigations the regression method can be substituted fruitfully for respiratory calorimetry.


Author(s):  
Vincenzo De Geronimo ◽  
Rossella Cannarella ◽  
Sandro La Vignera

Background: Thyroid disease and obesity are very common clinical conditions in the general population. They can occur together in the same subject, but their relationship does not seem to be exclusively stochastic. Aim: We critically reviewed the evidence of the literature in the attempt to provide explanation for this association, in order to understand the possible benefits of levothyroxine therapy in euthyroid obese patients. Results: A low energy expenditure rate can lead to obesity. Maintaining Basal Metabolic Rate (BMR) is the main cause of energy expenditure for the body, which is regulated by thermogenesis. Thyroid hormone receptors (TR) play different roles in the induction of thermogenetic mechanisms: TRα is fundamental to induce thermogenesis, TRβ triggers the expression of uncoupling protein 1(UCP1). Despite such mechanisms, there is not currently evidence to treat subjects suffering from obesity with thyroid hormones. Conclusion: Replacement therapy should be reserved to patients with obvious signs of subclinical or clinical hypothyroidism. Definitions: Basal metabolic rate (BMR) or basal energy expenditure (BEE): measurement obtained under total inactivity and controlled research conditions; resting energy expenditure (REE): measurement obtained when an individual is sitting quietly (is mildly higher than BMR/BEE).


Author(s):  
Robert B. Andrews

The canon of work design that the two hands (arms) should work together was investigated for several levels of a dynamic task and of a static task. A comparison of one-armed and two-armed work was made in terms of the increase in energy expenditure rate required to accomplish the same external result. The findings showed that only at low levels of the dynamic task does the one-armed method possess an energistic advantage. At higher levels of the dynamic task and at all levels of static task, the increase in energy expenditure rate was lower for the two-armed method.


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