Effects of a short-term overfeeding with fructose or glucose in healthy young males

Consumption of simple carbohydrates has markedly increased over the past decades, and may be involved in the increased prevalence in metabolic diseases. Whether an increased intake of fructose is specifically related to a dysregulation of glucose and lipid metabolism remains controversial. We therefore compared the effects of hypercaloric diets enriched with fructose (HFrD) or glucose (HGlcD) in healthy men. Eleven subjects were studied in a randomised order after 7 d of the following diets: (1) weight maintenance, control diet; (2) HFrD (3·5 g fructose/kg fat-free mass (ffm) per d, +35 % energy intake); (3) HGlcD (3·5 g glucose/kg ffm per d, +35 % energy intake). Fasting hepatic glucose output (HGO) was measured with 6,6-2H2-glucose. Intrahepatocellular lipids (IHCL) and intramyocellular lipids (IMCL) were measured by 1H magnetic resonance spectroscopy. Both fructose and glucose increased fasting VLDL-TAG (HFrD: +59 %, P < 0·05; HGlcD: +31 %, P = 0·11) and IHCL (HFrD: +52 %, P < 0·05; HGlcD: +58 %, P = 0·06). HGO increased after both diets (HFrD: +5 %, P < 0·05; HGlcD: +5 %, P = 0·05). No change was observed in fasting glycaemia, insulin and alanine aminotransferase concentrations. IMCL increased significantly only after the HGlcD (HFrD: +24 %, NS; HGlcD: +59 %, P < 0·05). IHCL and VLDL-TAG were not different between hypercaloric HFrD and HGlcD, but were increased compared to values observed with a weight maintenance diet. However, glucose led to a higher increase in IMCL than fructose.

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Resting Metabolic Rate and Thermic Effect of a Meal in Low- and Adequate-Energy Intake Male Endurance Athletes

International Journal of Sport Nutrition ◽

10.1123/ijsn.3.2.194 ◽

1993 ◽

Vol 3 (2) ◽

pp. 194-206 ◽

Cited By ~ 11

Author(s):

Janice Thompson ◽

Melinda M. Manore ◽

James S. Skinner

Keyword(s):

Metabolic Rate ◽

Energy Intake ◽

Weight Maintenance ◽

Resting Metabolic Rate ◽

Activity Level ◽

Low Energy ◽

Fat Free Mass ◽

Endurance Athletes ◽

Male Athletes ◽

Thermic Effect

The resting metabolic rate (RMR) and thermic effect of a meal (TEM) were determined in 13 low-energy intake (LOW) and 11 adequate-energy intake (ADQ) male endurance athletes. The LOW athletes reported eating 1,490 kcal·day-1less than the ADQ group, while the activity level of both groups was similar. Despite these differences, both groups had a similar fat-free mass (FFM) and had been weight stable for at least 2 years. The RMR was significantly lower (p<0.05) in the LOW group compared to the values of the ADQ group (1.19 vs. 1.29 kcal·FFM-1·hr-l, respectively); this difference represents a lower resting expenditure of 158 kcal·day-1. No differences were found in TEM between the two groups. These results suggest that a lower RMR is one mechanism that contributes to weight maintenance in a group of low- versus adequate-energy intake male athletes.

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A 1-week diet break improves muscle endurance during an intermittent dieting regime in adult athletes: A pre-specified secondary analysis of the ICECAP trial

PLoS ONE ◽

10.1371/journal.pone.0247292 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0247292

Author(s):

Jackson J. Peos ◽

Eric R. Helms ◽

Paul A. Fournier ◽

James Krieger ◽

Amanda Sainsbury

Keyword(s):

Energy Intake ◽

Weight Maintenance ◽

Secondary Analysis ◽

Resting Energy Expenditure ◽

Energy Restriction ◽

Fat Free Mass ◽

Muscle Endurance ◽

Fat Percentage ◽

Maximum Effort ◽

Prospective Consumption

Athletes undergoing energy restriction for weight/fat reduction sometimes apply ‘diet breaks’ involving increased energy intake, but there is little empirical evidence of effects on outcomes. Twenty-six resistance-trained athletes (11/26 or 42% female) who had completed 12 weeks of intermittent energy restriction participated in this study. Participants had a mean (SD) age of 29.3 (6.4) years, a weight of 72.7 (15.9) kg, and a body fat percentage of 21.3 (7.5) %. During the 1-week diet break, energy intake was increased (by means of increased carbohydrate intake) to predicted weight maintenance requirements. While the 1-week diet break had no significant effect on fat mass, it led to small but significant increases in mean body weight (0.6 kg, P<0.001), fat-free mass (0.7 kg, P<0.001) and in resting energy expenditure, from a mean (and 95% confidence interval) of 7000 (6420 to 7580) kJ/day to 7200 (6620 to 7780) kJ/day (P = 0.026). Overall, muscle endurance in the legs (but not arms) improved after the diet break, including significant increases in the work completed by the quadriceps and hamstrings in a maximum-effort 25-repetition set, with values increasing from 2530 (2170 to 2890) J to 2660 (2310 to 3010) J (P = 0.018) and from 1280 (1130 to 1430) J to 1380 (1220 to 1540) J (P = 0.018) following the diet break, respectively. However, muscle strength did not change. Participants reported significantly lower sensations of hunger (P = 0.017), prospective consumption (P = 0.020) and irritability (P = 0.041) after the diet break, and significantly higher sensations of fullness (P = 0.002), satisfaction (P = 0.002), and alertness (P = 0.003). In summary, a 1-week diet break improved muscle endurance in the legs and increased mental alertness, and reduced appetite and irritability. With this considered, it may be wise for athletes to coordinate diet breaks with training sessions that require muscle endurance of the legs and/or mental focus, as well as in the latter parts of a weight loss phase when increases in appetite might threaten dietary adherence. Trial registration: Australian New Zealand Clinical Trials Registry Reference Number: ACTRN12618000638235 anzctr.org.au.

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Session 3 (Joint with the British Dietetic Association): Management of obesity Weight-loss interventions in the treatment of obesity

Proceedings of The Nutrition Society ◽

10.1017/s0029665109991844 ◽

2009 ◽

Vol 69 (1) ◽

pp. 34-38 ◽

Cited By ~ 11

Author(s):

C. R. Hankey

Keyword(s):

Physical Activity ◽

Weight Loss ◽

Energy Expenditure ◽

Energy Intake ◽

Weight Maintenance ◽

Dietary Advice ◽

Excess Body Weight ◽

Lifestyle Interventions ◽

Post Intervention ◽

Weight Losses

Treatments to induce weight loss for the obese patient centre on the achievement of negative energy balance. This objective can theoretically be attained by interventions designed to achieve a reduction in energy intake and/or an increase in energy expenditure. Such ‘lifestyle interventions’ usually comprise one or more of the following strategies: dietary modification; behaviour change; increases in physical activity. These interventions are advocated as first treatment steps in algorithms recommended by current clinical obesity guidelines. Medication and surgical treatments are potentially available to those unable to implement ‘lifestyle interventions’ effectively by achieving losses of between 5 kg and 10 kg. It is accepted that the minimum of 5% weight loss is required to achieve clinically-meaningful benefits. Dietary treatments differ widely. Successful weight loss is most often associated with quantification of energy intake rather than macronutrient composition. Most dietary intervention studies secure a weight loss of between 5 kg and 10 kg after intervention for 6 months, with gradual weight regain at 1 year where weight changes are 3–4 kg below the starting weight. Some dietary interventions when evaluated at 2 and 4 years post intervention report the effects of weight maintenance rather than weight loss. Specific anti-obesity medications are effective adjuncts to weight loss, in most cases doubling the weight loss of those given dietary advice only. Greater physical activity alone increases energy expenditure by insufficient amounts to facilitate clinically-important weight losses, but is useful for weight maintenance. Weight losses of between half and three-quarters of excess body weight are seen at 10 years post intervention with bariatric surgery, making this arguably the most effective weight-loss treatment.

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Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2015-0479 ◽

2016 ◽

Vol 41 (6) ◽

pp. 611-617 ◽

Cited By ~ 37

Author(s):

Jameason D. Cameron ◽

Ronald J. Sigal ◽

Glen P. Kenny ◽

Angela S. Alberga ◽

Denis Prud’homme ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Body Weight ◽

Muscle Mass ◽

Energy Intake ◽

Skeletal Muscle Mass ◽

Fat Free Mass ◽

Cross Sectional ◽

Percentage Body Fat ◽

Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

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Comparison of energy expenditure, body composition, metabolic disorders, and energy intake between obese children with a history of craniopharyngioma and children with multifactorial obesity

Journal of Pediatric Endocrinology and Metabolism ◽

10.1515/jpem-2015-0167 ◽

2015 ◽

Vol 28 (11-12) ◽

Cited By ~ 6

Author(s):

Ilanit Bomer ◽

Carola Saure ◽

Carolina Caminiti ◽

Javier Gonzales Ramos ◽

Graciela Zuccaro ◽

...

Keyword(s):

Body Composition ◽

Energy Expenditure ◽

Energy Intake ◽

Positive Association ◽

Bioelectrical Impedance ◽

Fat Free Mass ◽

Control Group ◽

Model Assessment ◽

Obese Children ◽

Mass Percentage

AbstractCraniopharyngioma is a histologically benign brain malformation with a fundamental role in satiety modulation, causing obesity in up to 52% of patients.To evaluate cardiovascular risk factors, body composition, resting energy expenditure (REE), and energy intake in craniopharyngioma patients and to compare the data with those from children with multifactorial obesity.All obese children and adolescents who underwent craniopharyngioma resection and a control group of children with multifactorial obesity in follow-up between May 2012 and April 2013.Anthropometric measurements, bioelectrical impedance, indirect calorimetry, energy intake, homeostatic model assessment insulin resistance (HOMA-IR), and dyslipidemia were evaluated.Twenty-three patients with craniopharyngioma and 43 controls were included. Children with craniopharyngioma-related obesity had a lower fat-free mass percentage (62.4 vs. 67.5; p=0.01) and a higher fat mass percentage (37.5 vs. 32.5; p=0.01) compared to those with multifactorial obesity. A positive association was found between %REE and %fat-free mass in subjects with multifactorial obesity (68±1% in normal REE vs. 62.6±1% in low REE; p=0.04), but not in craniopharyngioma patients (62±2.7 in normal REE vs. 61.2±1.8% in low REE; p=0.8). No differences were found in metabolic involvement or energy intake.REE was lower in craniopharyngioma patients compared to children with multifactorial obesity regardless of the amount of fat-free mass, suggesting that other factors may be responsible for the lower REE.

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Energy Balance and Energy Availability During a Selection Course for Belgian Paratroopers

Military Medicine ◽

10.1093/milmed/usab140 ◽

2021 ◽

Author(s):

Patrick Mullie ◽

Pieter Maes ◽

Laurens van Veelen ◽

Damien Van Tiggelen ◽

Peter Clarys

Keyword(s):

Physical Activity ◽

Energy Balance ◽

Energy Expenditure ◽

Metabolic Rate ◽

Energy Intake ◽

Rest Metabolic Rate ◽

Negative Energy ◽

Fat Free Mass ◽

Negative Energy Balance ◽

Energy Availability

ABSTRACT Introduction Adequate energy supply is a prerequisite for optimal performances and recovery. The aims of the present study were to estimate energy balance and energy availability during a selection course for Belgian paratroopers. Methods Energy expenditure by physical activity was measured with accelerometer (ActiGraph GT3X+, ActiGraph LLC, Pensacola, FL, USA) and rest metabolic rate in Cal.d−1 with Tinsley et al.’s equation based on fat-free mass = 25.9 × fat-free mass in kg + 284. Participants had only access to the French individual combat rations of 3,600 Cal.d−1, and body fat mass was measured with quadripolar impedance (Omron BF508, Omron, Osaka, Japan). Energy availability was calculated by the formula: ([energy intake in foods and beverages] − [energy expenditure physical activity])/kg FFM−1.d−1, with FFM = fat-free mass. Results Mean (SD) age of the 35 participants was 25.1 (4.18) years, and mean (SD) percentage fat mass was 12.0% (3.82). Mean (SD) total energy expenditure, i.e., the sum of rest metabolic rate, dietary-induced thermogenesis, and physical activity, was 5,262 Cal.d−1 (621.2), with percentile 25 at 4,791 Cal.d−1 and percentile 75 at 5,647 Cal.d−1, a difference of 856 Cal.d−1. Mean daily energy intake was 3,600 Cal.d−1, giving a negative energy balance of 1,662 (621.2) Cal.d−1. Mean energy availability was 9.3 Cal.kg FFM−1.d−1. Eleven of the 35 participants performed with a negative energy balance of 2,000 Cal.d−1, and only five participants out of 35 participants performed at a less than 1,000 Cal.d−1 negative energy balance level. Conclusions Energy intake is not optimal as indicated by the negative energy balance and the low energy availability, which means that the participants to this selection course had to perform in suboptimal conditions.

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Ethnic differences in sympathetic nervous system-mediated energy expenditure

AJP Endocrinology and Metabolism ◽

10.1152/ajpendo.1991.261.6.e789 ◽

1991 ◽

Vol 261 (6) ◽

pp. E789-E794 ◽

Cited By ~ 2

Author(s):

M. F. Saad ◽

S. A. Alger ◽

F. Zurlo ◽

J. B. Young ◽

C. Bogardus ◽

...

Keyword(s):

Nervous System ◽

Energy Expenditure ◽

Sympathetic Nervous System ◽

Fat Mass ◽

Weight Maintenance ◽

Resting Metabolic Rate ◽

Fat Free Mass ◽

Beta Adrenoceptor ◽

Sympathetic Nervous ◽

The Impact

The impact of sympathetic nervous system (SNS) activity on energy expenditure (EE) was evaluated in nondiabetic Caucasian and Pima Indian men while on a weight-maintenance diet using two approaches as follows. 1) The relationship between 24-h EE, measured in a respiratory chamber, and 24-h urinary norepinephrine was studied in 36 Caucasians [32 +/- 8 (SD) yr, 95 +/- 41 kg, 22 +/- 13% fat] and 33 Pimas (29 +/- 6 yr, 103 +/- 28 kg, 30 +/- 9% fat). There was no difference between the two groups in 24-h EE (2,422 vs. 2,523 kcal/24 h) and in urinary norepinephrine (28 vs. 31 micrograms/24 h), even after adjusting for body size and composition. Twenty-four-hour EE correlated significantly with 24-h urinary norepinephrine in Caucasians (r = 0.78, P less than 0.001) but not in Pimas (r = 0.03), independent of fat-free mass (FFM), fat mass, and age. 2) The effect of beta-adrenoceptor blockade with propranolol (120 micrograms/kg FFM bolus and 1.2 micrograms.kg FFM-1.min-1 for 45 min) on the resting metabolic rate (RMR) was evaluated in 36 Caucasians (30 +/- 6 yr, 103 +/- 36 kg, 25 +/- 11% fat) and 32 Pimas (28 +/- 6 yr, 100 +/- 34 kg, 27 +/- 10% fat). The RMR was similar in the two groups (2,052 vs. 1,973 kcal/24 h) even after adjustment for FFM, fat mass, and age and dropped significantly after propranolol infusion in Caucasians (-3.9%, P less than 0.001) but not in Pimas (-0.8%, P = 0.07).(ABSTRACT TRUNCATED AT 250 WORDS)

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Nutritional status of patients with celiac disease in Oran pediatric clinic

Nutrition & Santé ◽

10.30952/ns.10.1.4 ◽

2021 ◽

Vol 10 (01) ◽

pp. 27-40

Author(s):

Farah KADDOUR ◽

◽

Nadia MAHDAD ◽

Charef LATROCH ◽

Karim BOUZIANE NEDJADI ◽

...

Keyword(s):

Celiac Disease ◽

Nutritional Status ◽

Energy Intake ◽

Eating Habits ◽

Pediatric Population ◽

Saturated Fatty Acids ◽

Pediatric Clinic ◽

Sugary Drinks ◽

Simple Carbohydrates ◽

24 Hour Recall

Introduction Celiac disease (CD) is an enteropathy that requires a gluten-free diet (GFD), a restriction often generating nutritional imbalances Objective. to assess the nutritional status of a pediatric CD population. Population and methods. Among 84 CD patients recruited, 64 were retained (37 F/27M) and aged 1-<17 years old (1-<5 y (n=24), 5-<10 y (n=17), and 10-<17 y (n=23)). The anthropometric measurements, parents education level and profession were collected. Eating habits, GFD quality, daily energy expenditure (DEE) were evaluated. Food consumption was estimated by a 24 hour recall, followed by a 3 day record. Results were compared to the recommended intakes (RI). Results. Nine % of 1-<5 y CD were thin, and 19% were overweight/obese. Significant improvement of body mass index (BMI) z-score was noted in CD girls (p<0.0001), and boys (p<0.01), after GFD. Non-existent breakfast was noted in 23% of children and 22% of adolescents. Sugary drinks consumption was observed in 38% of 1-<5 y infants, and snacking was found in 79% of them, as well as, in half of 5-<10 y, and 10-<17 y population. Twenty six % of adolescents had GFD voluntary deviations. Energy balance (total energy intake (TEI) - DEE) was positive in 5-<10 y, and negative in 10-<17 y. In all CD population, breakfast energy intake was lower than RI, but was important for snack time, also during morning snack in 1-<5 y and 5-<10 y infants. Simple carbohydrates and saturated fatty acids intakes were higher than RI, and iron and vitamin (Vit.) D deficiency was noted in CD population. Adolescents had low calcium and zinc intakes. Conclusion. The studied CD pediatric population presents some nutritional imbalances, requiring a dietary monitoring.

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Reduced Albumin Concentration Predicts Weight Gain and Higher Ad Libitum Energy Intake in Humans

Frontiers in Endocrinology ◽

10.3389/fendo.2021.642568 ◽

2021 ◽

Vol 12 ◽

Author(s):

Alessio Basolo ◽

Takafumi Ando ◽

Douglas C. Chang ◽

Tim Hollstein ◽

Jonathan Krakoff ◽

...

Keyword(s):

Weight Gain ◽

Energy Expenditure ◽

Energy Intake ◽

Fat Free Mass ◽

Albumin Concentration ◽

Plasma Albumin ◽

Clinical Trial Registration ◽

Ad Libitum ◽

Intake Regulation

ObjectiveCirculating albumin is negatively associated with adiposity but whether it is associated with increased energy intake, lower energy expenditure or weight gain has not been examined.MethodsIn study 1 (n=238; 146 men), we evaluated whether fasting albumin concentration was associated with 24-h energy expenditure and ad libitum energy intake. In study 2 (n=325;167 men), we evaluated the association between plasma albumin and change in weight and body composition.ResultsAfter adjustment for known determinants of energy intake lower plasma albumin concentration was associated with greater total daily energy intake (β= 89.8 kcal/day per 0.1 g/dl difference in plasma albumin, p=0.0047). No associations were observed between plasma albumin concentrations and 24-h energy expenditure or 24-h respiratory quotient (p>0.2). Over 6 years, volunteers gained on average 7.5 ± 11.7 kg (p<0.0001). Lower albumin concentrations were associated with greater weight [β=3.53 kg, p=0.039 (adjusted for age, sex, follow up time), CI 0.16 to 6.21 per 1 g/dl difference albumin concentration] and fat mass (β=2.3 kg, p=0.022), respectively, but not with changes in fat free mass (p=0.06).ConclusionsLower albumin concentrations were associated with increased ad libitum food intake and weight gain, indicating albumin as a marker of energy intake regulation.Clinical Trial RegistrationClinicalTrials.gov, identifiers NCT00340132, NCT00342732.

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