scholarly journals Low energy intake plus low energy expenditure (low energy flux), not energy surfeit, predicts future body fat gain

2016 ◽  
Vol 103 (6) ◽  
pp. 1389-1396 ◽  
Author(s):  
David John Hume ◽  
Sonja Yokum ◽  
Eric Stice
Keyword(s):  
Energy Expenditure ◽  
Energy Intake ◽  
Body Fat ◽  
Energy Flux ◽  
Low Energy

Profile of nutritional status, energy availability, haemoglobin levels and bone density in santriwati (Islamic female student) with chronic energy deficiency risk

2021 ◽  
Vol 9 (2) ◽  
pp. 97-104
Author(s):  
Fillah Fithra Dieny ◽  
A Fahmy Arif Tsani ◽  
Umu Faradilla ◽  
Ayu Rahadiyanti
Keyword(s):  
At Risk ◽  
Bone Density ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Body Fat ◽  
Female Student ◽  
Female Students ◽  
Body Fat Percentage ◽  
Energy Availability ◽  
Fat Percentage

Background: Santriwati (Islamic female student), women of reproductive age, were susceptible to experienced Chronic Energi Deficiency (CED). CED reflects the low energy availability of someone who can risk reducing bone density. Objectives: This study aimed to analyze the differences in body mass index, body fat percentage, hemoglobin levels, energy availability, and bone mineral density of female students who experienced CED risk and not experienced CED risk.Materials and Methods: The research design was a cross-sectional study, with 101 female students as subjects who were selected by random sampling. The research was conducted from February to March 2019 at the Kyai Galang Sewu Islamic Boarding School, Semarang. CED risk data was taken using the upper arm circumference measurement. Percent body fat and BMI data were taken using BIA. Energy availability data is obtained from the difference between energy intake (energy intake) and energy output (energy expenditure through physical activity) divided by Fat-Free Mass (FFM). Energy intake data was taken using the SQ-FFQ questionnaire, and energy expenditure was calculated using the 24-hour activity record form. Anemia data were collected using strip hemoglobin measurements. Bone density data were taken using the Osteosys Sonost 3000 densitometer. Bivariate analysis used the Independent T-Test.Results: A total of 57.2% of subjects experienced anemia. Subjects who had underweight nutritional status were 20.8%. Santriwati experienced osteopenia as much as 13.9%. There was no difference in bone density and hemoglobin levels between female students who were at risk of CED and not CED risk (p> 0.05), but there were differences in energy availability, body fat percentage, BMI between those at risk of CED and not CED risk (p <0.05)Conclusion: subjects at risk of CED (Lila <23.5 cm) had lower energy availability, body fat, and BMI than subjects who were not at risk of CED.

scholarly journals Energy Expenditure and Physical Activity in Recovering Malnourished Infants

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Russell Rising ◽  
Gul Tiryaki Sonmez
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Metabolism ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Body Fat ◽  
Respiratory Quotient ◽  
Lower Amount ◽  
Healthy Controls ◽  
Metabolic Data

Background. Malnourished infants are small for age and weight.Objectives. Determine profiles in 24-hour energy metabolism in recovering malnourished infants and compare to similarly aged healthy controls.Methods. 10 malnourished infants (58.1±5.9 cm,7.7±5.6months) were healthy prior to spending 22 hours in the Enhanced Metabolic Testing Activity Chamber for measurement of EE (kcal/min), sleeping metabolic rate (SMR; kcal/min), respiratory quotient (RQ;VCO2/VO2), and physical activity (PA; oscillations in wt/min/kg body weight). Metabolic data were extrapolated to 24 hours (kcal/kg/d). Energy intake (kcal/kg/d) and the proportions (%) of carbohydrate, protein, and fat were calculated. Anthropometrics for malnourished infants were obtained. Statistical differences (P<.05) between groups were determined (SPSS, version 13).Results. In comparison to controls, malnourished infants were lighter (4.1±1.2versus7.3±0.8 kg;P<.05), had less body fat % (10.3±7.6versus25.7±2.5), and lower BMI (12.0±1.7versus15.5±1.5;P<.05). In contrast, they had greater energy intake (142.7±14.6versus85.1±25.8;P<.05) with a greater percentage of carbohydrates (55.1±3.9versus47.2±5.2;P<.05). However, malnourished infants had greater 24-hour EE (101.3±20.1versus78.6±8.4;P<.05), SMR (92.6±17.1versus65.0±3.9;P<.05), and RQ (1.00±0.13versus0.86±0.08;P<.05) along with a lower amount of PA (2.3±0.94versus4.0±1.5;P<.05).Conclusions. Malnourished infants require more energy, possibly for growth.

Assessment and management of severe obesity in adults

2011 ◽  
pp. 1649-1652
Author(s):  
I. Sadaf Farooqi
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Psychosocial Factors ◽  
Energy Intake ◽  
Severe Obesity ◽  
Caloric Intake ◽  
Excess Energy ◽  
Low Energy ◽  
Lean Tissue ◽  
Nutrient Partitioning

Body weight is determined by an interaction between genetic, environmental, and psychosocial factors acting through the physiological mediators of energy intake and expenditure (1). By definition, obesity results from an imbalance between energy intake and energy expenditure and in any individual, excessive caloric intake or low energy expenditure, or both, may explain the development of obesity. A third factor, nutrient partitioning, a term reflecting the propensity to store excess energy as fat rather than lean tissue, may contribute.

Effects of increased energy intake and/or physical activity on energy expenditure in young healthy men

1994 ◽  
Vol 77 (1) ◽  
pp. 366-372 ◽  
Author(s):  
M. I. Goran ◽  
J. Calles-Escandon ◽  
E. T. Poehlman ◽  
M. O'Connell ◽  
E. Danforth
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Flux ◽  
High Energy ◽  
Negative Energy ◽  
Low Energy ◽  
Positive Energy ◽  
Treatment Groups ◽  
Positive Energy Balance

This study was designed to examine effects of alterations in energy balance on adaptive changes in components of total energy expenditure (TEE). Nineteen young healthy males were studied during a 10-day sedentary energy balance baseline period and then randomly assigned to one of four 10-day treatment groups: 1) no change in energy intake (EI) or physical activity (PA; energy balance at low energy flux), 2) EI increased by 50% with no change in PA (positive energy balance), 3) TEE increased by 50% by increasing PA, matched by a 50% increase in EI (energy balance at high energy flux), and 4) TEE increased by 50% by increasing PA with no change in EI (negative energy balance). TEE was measured with doubly labeled water, resting metabolic rate (RMR) by indirect calorimetry, and thermic response to feeding (TEF) by indirect calorimetry; energy expenditure of physical activity (EEPA) was estimated by subtracting RMR, TEF, and prescribed PA from TEE. TEE was significantly increased by PA (by design) but not EI. There was a significant main effect of intake and a significant intake-by-activity interaction for changes in RMR. In post hoc analysis, RMR was significantly increased during positive energy balance and energy balance at high energy flux relative to change in RMR when energy balance was maintained at low energy flux. A significant increase in RMR was also noted during negative energy balance after adjustment for change in fat-free mass. There was no significant difference in change in RMR among the three treatment groups.(ABSTRACT TRUNCATED AT 250 WORDS)

scholarly journals Mice long-term selected for high body mass are more susceptible to body fat deposition in response to a high fat diet due to insufficient increase in heat production

2012 ◽  
Vol 55 (6) ◽  
pp. 633-646
Author(s):  
M. Derno ◽  
M. Langhammer ◽  
U. Renne ◽  
U. Hennig ◽  
S. Kuhla ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Mrna Expression ◽  
Energy Intake ◽  
Body Mass ◽  
Body Fat ◽  
Fat Oxidation ◽  
Substrate Oxidation ◽  
Fat Deposition ◽  
High Body

Abstract. Using a mouse model long-term selected for high body mass (DU6i), we investigated if their higher degree of body fat as compared to unselected controls (DUKsi) was due to a greater fat accumulation, attributable to differences in substrate oxidation in response to a higher fat intake. We measured energy expenditure (EE) and substrate oxidation by indirect calorimetry at the ages of 42 d and 98 d in response to a fat rich diet compared to a standard diet (F, 20 %; C, 5 % fat) introduced at weaning (21 d). The EE to food energy intake ratio (Q) was calculated and uncoupling protein (UCP1) mRNA expression was analysed in brown adipose tissue in male mice of both strains. The F diet increased body and fat mass in DU6i (P<0.05) but not in DUKsi. Energy intake was not influenced by diet in both strains, but EE was lower in DU6i than in controls (P<0.05). In contrast to DU6i, fat oxidation was higher in DUKsi mice fed the F diet until the age of 42 d (P<0.05). At the age of 42 d, the Q value was lower in DU6i, and higher with F diet irrespective of strain. UCP1 mRNA expression was twice as high in DUKsi as in DU6i (P<0.05). Between 42 d and 98 d of age, DU6i mice were more susceptible to body mass gain and fat deposition in response to the F diet due to insufficient increase in fat oxidation and energy expenditure possibly related to lower UCP1 mRNA expression.

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