scholarly journals Novel causes and consequences of overtraining syndrome: the EROS-DISRUPTORS study

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Flavio A. Cadegiani ◽  
Claudio E. Kater
Keyword(s):  
Caloric Intake ◽  
Cognitive Effort ◽  
Calorie Intake ◽  
Hydration Status ◽  
Full Data ◽  
Hormonal Responses ◽  
Overtraining Syndrome ◽  
Hormone Responses ◽  
Independent Risk Factors ◽  
Independent Variable

Abstract Background Hormonal physiology in athletes, dysfunctional paths leading to overtraining syndrome (OTS), and clinical and biochemical behaviors that are independently modified by the presence of OTS remain unclear. Although multiple markers of OTS have recently been identified, the independent influence of OTS on hormones and metabolism have not been assessed. Hence, the objective of the present study was to uncover the previously unrecognized independent predictors of OTS and understand how OTS independently modifies the behaviors of clinical and biochemical parameters. Methods In a total of 39 athletes (OTS-affected athletes (OTS) = 14 and healthy athletes (ATL) = 25), we performed two clusters of statistical analyses using the full data of the Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study, in a total of 117 markers. We first used logistic regression to analyze five modifiable parameters (carbohydrate, protein, and overall caloric intake, sleep quality, and concurrent cognitive effort) as potential additional independent risk factors for OTS, and OTS as the outcome. We then used multivariate linear regression to analyze OTS as the independent variable and 38 dependent variables. Training patterns were found to be similar between OTS and ATL, and therefore excessive training was not a risk, and consequently not a predictor, for OTS. Results Each of the three dietary patterns (daily carbohydrate, daily protein, and daily overall calorie intake) were found to be the independent triggers of OTS, while sleeping, social, and training characteristics depended on other factors to induce OTS. Once triggered, OTS independently induced multiple changes, including reductions of cortisol, late growth hormone and adrenocorticotropic hormone responses to stimulations, testosterone-to-estradiol ratio, neutrophils, neutrophil-to-lymphocyte ratio, vigor levels, hydration status, and muscle mass, while increase of tension levels and visceral fat. Conclusions OTS can be independently triggered by eating patterns, regardless of training patterns, while the occurrence of OTS reduced late hormonal responses and the testosterone-to-estradiol ratio, worsened mood, and affected the immunology panel. These novel findings may explain underperformance, which is the key characteristic of OTS.

scholarly journals SAT-LB4 Novel Hormonal and Metabolic Markers of Recovery From Overtraining Syndrome Unveiled by the Longitudinal ARM of the Eros Study - the Eros-Longitudinal Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Flavio Cadegiani ◽  
Pedro Luiz H da Silva ◽  
Tatiana P C Abrao ◽  
Claudio E Kater
Keyword(s):  
Caloric Intake ◽  
Tolerance Test ◽  
Hydration Status ◽  
Cortisol Awakening Response ◽  
Hormonal Responses ◽  
Metabolic Markers ◽  
Urinary Catecholamines ◽  
Overtraining Syndrome ◽  
Insulin Tolerance ◽  
Inadequate Sleep

Abstract Background: Overtraining Syndrome (OTS) is an unexplained underperformance syndrome triggered by excessive training, insufficient caloric intake, inadequate sleep, and excessive cognitive and social demands. Investigations of markers of the challenging recovery from OTS have not been reported to date. The objective of the present study is to describe novel markers, and biochemical and clinical behaviors during the restoration process of OTS.Design: A 12-week interventional protocol in 12 athletes affected by OTS was conducted, including increased food intake, transitory interruption of the trainings, improvement of sleep quality, and management of stress.Methods: We assessed 50 parameters, including hormonal responses to an insulin tolerance test (ITT), basal hormonal and non-hormonal biochemical markers, body metabolism and composition. Results: In response to an ITT, early cortisol (p = 0.026), early GH (p = 0.004), and late GH (p = 0.037) improved significantly. Basal estradiol (p = 0.0002) and nocturnal urinary catecholamines, (p = 0.043) reduced, while testosterone (p = 0.014), testosterone:estradiol (T:E) ratio (p = 0.0005), freeT3 (p = 0.043), IGF-1 (p = 0.003), and cortisol awakening response (CAR) (p = 0.001) increased significantly. All basal parameters and early responses to ITT normalized, when compared to healthy athletes. Basal metabolic rate, fat oxidation, body fat, muscle mass, and hydration status had partial but non-significant improvements. Conclusion: After 12 weeks, athletes affected by actual OTS demonstrated substantial improvements, remarkably IGF-1, freeT3, CAR, testosterone, estradiol testosterone:estradiol ratio, CK and catecholamines, and early cortisol, early prolactin, and overall GH responses to stimulations.

Novel Markers of Recovery From Overtraining Syndrome: The EROS-LONGITUDINAL Study

2020 ◽  
pp. 1-10
Author(s):  
Flavio A. Cadegiani ◽  
Pedro Henrique L. Silva ◽  
Tatiana C.P. Abrao ◽  
Claudio E. Kater
Keyword(s):  
Caloric Intake ◽  
Recovery Process ◽  
Tolerance Test ◽  
Hormonal Responses ◽  
Urinary Catecholamines ◽  
Overtraining Syndrome ◽  
Recovery Processes ◽  
Insulin Tolerance ◽  
Inadequate Sleep ◽  
Late Growth

Purposes: Overtraining syndrome (OTS) is an unexplained underperformance syndrome triggered by excessive training, insufficient caloric intake, inadequate sleep, and excessive cognitive and social demands. Investigation of the recovery process from OTS has not been reported to date. The objective was to unveil novel markers and biochemical and clinical behaviors during the restoration process of OTS. Methods: This was a 12-week interventional protocol in 12 athletes affected by OTS, including increase of caloric intake, transitory interruption of training, improvement of sleep quality, and management of stress, followed by the assessment of 50 parameters including basal and hormonal responses to an insulin tolerance test and nonhormonal biochemical markers, and body metabolism and composition. Results: Early cortisol (P = .023), late ACTH (adrenocorticotrophic hormone) (P = .024), and early and late growth hormone (P = .005 and P = .038, respectively) responses, basal testosterone (P = .038), testosterone:estradiol ratio (P = .0005), insulinlike growth factor 1 (P = .004), cortisol awakening response (P = .001), and free thyronine (P = .069) increased, while basal estradiol (P = .033), nocturnal urinary catecholamines (P = .038), and creatine kinase (P = .071) reduced. Conversely, markers of body metabolism and composition had slight nonsignificant improvements. Conclusion: After a 12-week intervention, athletes affected by actual OTS disclosed a mix of non-, partial, and full recovery processes, demonstrating that remission of OTS is as complex as its occurrence.

scholarly journals Modeling the Effect of High Calorie Diet on the Interplay between Adipose Tissue, Inflammation, and Diabetes

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
V. Prana ◽  
P. Tieri ◽  
M.C. Palumbo ◽  
E. Mancini ◽  
F. Castiglione
Keyword(s):  
Adipose Tissue ◽  
Chronic Inflammation ◽  
Blood Glucose Concentration ◽  
Caloric Intake ◽  
Direct Consequence ◽  
Calorie Intake ◽  
Human Organism ◽  
Inflammatory State ◽  
Set Up ◽  
High Calorie

Background. Type 2 diabetes (T2D) is a chronic metabolic disease potentially leading to serious widespread tissue damage. Human organism develops T2D when the glucose-insulin control is broken for reasons that are not fully understood but have been demonstrated to be linked to the emergence of a chronic inflammation. Indeed such low-level chronic inflammation affects the pancreatic production of insulin and triggers the development of insulin resistance, eventually leading to an impaired control of the blood glucose concentration. On the contrary, it is well-known that obesity and inflammation are strongly correlated. Aim. In this study, we investigate in silico the effect of overfeeding on the adipose tissue and the consequent set up of an inflammatory state. We model the emergence of the inflammation as the result of adipose mass increase which, in turn, is a direct consequence of a prolonged excess of high calorie intake. Results. The model reproduces the fat accumulation due to excessive caloric intake observed in two clinical studies. Moreover, while showing consistent weight gains over long periods of time, it reveals a drift of the macrophage population toward the proinflammatory phenotype, thus confirming its association with fatness.

scholarly journals Comparable Postprandial Amino Acid and Gastrointestinal Hormone Responses to Beef Steak Cooked Using Different Methods: A Randomised Crossover Trial

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 380 ◽  
Author(s):  
Utpal K. Prodhan ◽  
Shikha Pundir ◽  
Vic S.-C. Chiang ◽  
Amber M. Milan ◽  
Matthew P. G. Barnett ◽  
...  
Keyword(s):  
Cooking Methods ◽  
Gastrointestinal Hormone ◽  
Hormonal Responses ◽  
Flow Cytometric ◽  
Beef Steak ◽  
Hormone Responses ◽  
Glucagon Like Peptide 1 ◽  
Ultrahigh Performance Liquid Chromatography ◽  
Branched Chain ◽  
Insulinotropic Peptide

Cooking changes the texture and tenderness of red meat, which may influence its digestibility, circulatory amino acids (AA) and gastrointestinal (GI) hormonal responses in consumers. In a randomised crossover intervention, healthy males (n = 12) consumed a beef steak sandwich, in which the beef was cooked by either a pan-fried (PF) or sous-vide (SV) method. Plasma AA were measured by ultrahigh performance liquid chromatography (UPLC), while plasma GI hormones were measured using a flow cytometric multiplex array. Following meat ingestion, the circulatory concentrations of some of the essential AA (all the branched-chain AA: leucine, isoleucine and valine; and threonine), some of the nonessential AA (glycine, alanine, tyrosine and proline) and some of the nonproteogenic AA (taurine, citrulline and ornithine) were increased from fasting levels by 120 or 180 min (p < 0.05). There were no differences in circulating AA concentrations between cooking methods. Likewise, of the measured GI hormones, glucose-dependent insulinotropic peptide (GIP) and glucagon-like peptide-1 (GLP-1) concentrations increased from fasting levels after consumption of the steak sandwich (p < 0.05), with no differences between the cooking methods. In the healthy male adults, protein digestion and circulating GI hormone responses to a beef-steak breakfast were unaltered by the different cooking methods.

Do Youth Consume More Calories than they Expended in Youth Sports Leagues? An Observational Study of Physical Activity, Snacks, and Beverages

2020 ◽  
Vol 44 (2) ◽  
pp. 180-187
Author(s):  
Natalie Bennion ◽  
Lori Andersen Spruance ◽  
Jay E. Maddock
Keyword(s):  
Physical Activity ◽  
Energy Consumption ◽  
Youth Sports ◽  
Caloric Intake ◽  
Average Energy ◽  
Cross Sectional Study ◽  
Calorie Intake ◽  
Caloric Content ◽  
Separate Analysis ◽  
Cross Sectional

Objectives: Childhood obesity rates remain high. The youth sports environment is an opportunity to combat obesity. The purpose of this study was to determine the types of beverages/ snacks provided at youth sports and determine associations between energy consumption and expenditure. Methods: This cross-sectional study observed 4 different sports in a youth sports league (N = 189). The System for Observing Fitness Instruction Time (SOFIT) was used to quantify physical activity. Food environmental scans were used to quantify caloric intake. A t-test was conducted to examine differences between energy consumption and expenditure. We conducted a separate analysis for games that did not offer snacks/beverages. Results: The average energy expenditure was 170.3 calories per game; males were more physically active than females. The average caloric content was 213.3 calories for games that did not offer snacks/beverages and average sugar provided was 26.4 grams per game. The majority of sugar came from sugar-sweetened beverages. Conclusions: Calorie intake was higher than expenditure. Children were consuming more sugar in one game than daily recommendations. Youth sports would benefit from an intervention aimed at the food environment.

scholarly journals Consumption Uncertainty Reduction Among Sweet Potato Smallholder Farmers in Tanzania

2019 ◽  
Vol 11 (1-2) ◽  
pp. 132-147 ◽  
Author(s):  
Fulgence Dominick Waryoba ◽  
Li Jing
Keyword(s):  
Sweet Potato ◽  
Food Consumption ◽  
Smallholder Farmers ◽  
Caloric Intake ◽  
Crop Productivity ◽  
Calorie Intake ◽  
Productivity Improvement ◽  
Lactating Mothers ◽  
Production And Consumption ◽  
Almost All

This study examines food production and consumption among smallholder sweet potato farmers in the selected districts of Tanzania, namely Kishapu and Mvomero. Inter-cropping is commonly practiced among smallholder farmers in the study area to shield against harvest failure due to unpredictable weather change. Crop productivity in the study area was low for almost all staples selected for the analysis, leading to low food consumption among smallholder farmers and their household members in the study area. Most smallholder farmers’ food consumption in the study area was below the minimum standard. Some households failed to provide three meals for their family members, including children, pregnant mothers, and lactating mothers. Some farmers could only afford one meal. The calorie intake analysis indicated that more than half of the households surveyed had less than minimum caloric intake in both the pre- and post-harvest period. Due to food consumption uncertainty, smallholder farmers hardly changed their consumption level as their income changed. Even though consumption was inelastic, consumption inequality closely followed income inequality among smallholder farmers in the study area. Food crop productivity improvement was vital in reducing food consumption uncertainty among smallholder farmers in the study area.

scholarly journals Az energiamentes édesítőszerek hatása az egyes anyagcsere-paraméterekre

2016 ◽  
Vol 157 (Supplement 1) ◽  
pp. 8-13
Author(s):  
Tibor Hidvégi
Keyword(s):  
Body Weight ◽  
Caloric Intake ◽  
Postprandial Blood Glucose ◽  
Calorie Intake ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Randomized Controlled Studies ◽  
Total Calorie ◽  
Scientific Statement ◽  
Total Calorie Intake

Nonnutritive sweeteners can be found in many other foods apart from soft drinks. Producers of foodstuffs often use a combination of several sweeteners or sweetener and sugar mixes in a single product mainly to achieve a sweeter taste with a lower calorie count. According to the 2012 Scientific Statement of the American Heart and Diabetes Association, reduction of sugar intake plays an important role in establishing an optimal diet and the maintenance of an appropriate body weight. Controlled intervention studies show that during use of calorie-free sweeteners body weight did not change, moreover, in some cases weight even fell. This was also demonstrated in a recently published summary study of randomized controlled studies, according to which calorie-free sweeteners contributed to both loss and maintenance of body weight. According to the summary of the American Dietetic Association, the use of calorie-free sweeteners does not influence the glycemic response and does not increase postprandial blood glucose levels in diabetics. The results thus far, then, show that the use of nonnutritive sweeteners can reduce the consumption of carbohydrates, by which total calorie intake can also be lowered. Their use can promote weight loss and maintenance as well as can help to improve the values of other metabolic parameters (eg. blood sugar, triglycerides). In addition to this, it is important to note that these benefits will not fully materialize if consumption of nonnutritive sweeteners is accompanied by an increase in compensatory caloric intake. Orv. Hetil., 2016, 157(Suppl. 1), 8–13.

scholarly journals Reproducibility of Acute Steroid Hormone Responses in Men to Short-Duration Running

2019 ◽  
Vol 14 (10) ◽  
pp. 1430-1437
Author(s):  
Diogo V. Leal ◽  
Lee Taylor ◽  
John Hough
Keyword(s):  
Perceived Exertion ◽  
A Priori ◽  
Venous Blood ◽  
The Body ◽  
Rating Of Perceived Exertion ◽  
Physiological Strain ◽  
Overtraining Syndrome ◽  
Coefficients Of Variation ◽  
Sensitive Tool ◽  
Hormone Responses

Purpose: Progressively overloading the body to improve physical performance may lead to detrimental states of overreaching/overtraining syndrome. Blunted cycling-induced cortisol and testosterone concentrations have been suggested to indicate overreaching after intensified training periods. However, a running-based protocol is yet to be developed or demonstrated as reproducible. This study developed two 30-min running protocols, (1) 50/70 (based on individualized physical capacity) and (2) RPETP (self-paced), and measured the reproducibility of plasma cortisol and testosterone responses. Methods: Thirteen recreationally active, healthy men completed each protocol (50/70 and RPETP) on 3 occasions. Venous blood was drawn preexercise, postexercise, and 30 min postexercise. Results: Cortisol was unaffected (both P > .05; 50/70,  = .090; RPETP,  = .252), while testosterone was elevated (both P < .05; 50/70, 35%,  = .714; RPETP, 42%,  = .892) with low intraindividual coefficients of variation (CVi) as mean (SD) (50/70, 7% [5%]; RPETP, 12% [9%]). Heart rate (50/70, effect size [ES] = 0.39; RPETP, ES = −0.03), speed (RPETP, ES = −0.09), and rating of perceived exertion (50/70 ES = −0.06) were unchanged across trials (all CVi < 5%, P < .05). RPETP showed greater physiological strain (P < .01). Conclusions: Both tests elicited reproducible physiological and testosterone responses, but RPETP induced greater testosterone changes (likely due to increased physiological strain) and could therefore be considered a more sensitive tool to potentially detect overtraining syndrome. Advantageously for the practitioner, RPETP does not require a priori exercise-intensity determination, unlike the 50/70, enhancing its integration into practice.

scholarly journals SUN-542 The Effect of Energy Deprivation on Metabolic Hormone Responses to Meals

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Skand Shekhar ◽  
Helen Leka ◽  
Anne Kim ◽  
Bona Purse ◽  
Katie R Hersch ◽  
...  
Keyword(s):  
Caloric Restriction ◽  
Fat Mass ◽  
Caloric Intake ◽  
Insulin Response ◽  
Least Square ◽  
Orexin A ◽  
Glucose Ratio ◽  
Hormone Responses ◽  
Energy Deprivation ◽  
Metabolic Hormone

Abstract Background: Intermittent caloric restriction (ICR) has recently gained popularity as a weight-loss strategy; however, fasting metabolic hormones and dynamic meal-related responses, are not well-established in this setting. Methods: We measured metabolic hormone responses to 5-days of neutral or decreased energy availability (NEA, 45 kcal/kg LBM*d vs DEA, 20 kcal/kg LBM*d) in the early follicular phase (EFP) in 19 regularly-cycling, sedentary, women (age 23.36± 2.08 yr; mean±SD). Hunger was assessed using a visual analogue scale on the 5th day of each condition. Scheduled breakfast and lunch were administered according to assigned caloric intake, while an afternoon snack based on NEA was provided on both occasions. Blood was sampled for leptin, insulin, glucose, and GH at 10-min intervals and cortisol was measured at 30-min intervals over eight hours starting at 0800 h, while Orexin A and adiponectin were measured in fasting samples. AUC for each hormone for every meal and diet condition were analyzed using linear mixed models. Insulin and insulin/glucose ratio (I/G) were also adjusted for meal calories. Percentage body fat mass was measured every visit using air displacement plethysmography (BodPod®). Results are presented as least square mean ± sem. Results: There were no differences in body mass index or % fat mass after NEA vs DEA although there was a significant increase in hunger with DEA (p=0.002). Fasting levels of glucose and insulin were unchanged while leptin decreased with DEA (1.27±0.07 and 1.04±0.07 ng/mL, NEA and DEA respectively; p&lt;0.0001), and Orexin A increased (0.55±0.04 and 0.60±0.04 ng/mL; p=0.04). The AUC for glucose was lower with DEA across all meals (p&lt;0.0001). Insulin, I/G and I/G normalized for ingested calories (nI/G) decreased in response to DEA (p&lt;0.005, p&lt;0.05 and p&lt;0.0001). The slope of the increase in leptin across the day was not different between NEA and DEA (p=0.20). Adiponectin, GH and cortisol were unaffected by DEA. Conclusion: These studies indicate that although fasting glucose and insulin are unaffected by short-term caloric restriction, the insulin response to glucose is attenuated even when adjusting for meal-related calories. Orexin A increased and leptin decreased with reduced caloric intake, acting, at least in part, to stimulate appetite. Taken together, these hormonal responses, directed at preserving energy homeostasis, have important implications for understanding the potential efficacy of intermittent caloric restriction.

scholarly journals Sugars and Sweet Taste: Addictive or Rewarding?

2021 ◽  
Vol 18 (18) ◽  
pp. 9791
Author(s):  
Danielle Greenberg ◽  
John V. St. Peter
Keyword(s):  
Drugs Of Abuse ◽  
Caloric Intake ◽  
Sweet Taste ◽  
Conclusive Evidence ◽  
Narrative Review ◽  
Calorie Intake ◽  
Addictive Behaviors ◽  
Sweet Food ◽  
Reward Value ◽  
Sugar Addiction

The notion of food “addiction” often focuses on the overconsumption of sweet tasting foods or so-called sugar “addiction”. In the extreme, some have suggested that sugar and sweet tastes elicit neural and behavioral responses analogous to those observed with drugs of abuse. These concepts are complicated by the decades long uncertainty surrounding the validity and reproducibility of functional magnetic resonance imaging (fMRI) methodologies used to characterize neurobiological pathways related to sugar and sweet taste stimuli. There are also questions of whether sweet taste or post-ingestion metabolic consequences of sugar intake would lead to addiction or excessive caloric intake. Here, we present a focused narrative review of literature related to the reward value of sweet taste which suggests that reward value can be confounded with the construct of “addictive potential”. Our review seeks to clarify some key distinctions between these constructs and questions the applicability of the addiction construct to human over-eating behaviors. To adequately frame this broad discussion requires the flexibility offered by the narrative review paradigm. We present selected literature on: techniques used to link sugar and sweet tastes to addiction neurobiology and behaviors; sugar and sweet taste “addiction”; the relationship of low calorie sweetener (LCS) intake to addictive behaviors and total calorie intake. Finally, we examined the reward value of sweet tastes and contrasted that with the literature describing addiction. The lack of reproducibility of fMRI data remains problematic for attributing a common neurobiological pathway activation of drugs and foods as conclusive evidence for sugar or sweet taste “addiction”. Moreover, the complicated hedonics of sweet taste and reward value are suggested by validated population-level data which demonstrate that the consumption of sweet taste in the absence of calories does not increase total caloric intake. We believe the neurobiologies of reward value and addiction to be distinct and disagree with application of the addiction model to sweet food overconsumption. Most hypotheses of sugar “addiction” attribute the hedonics of sweet foods as the equivalent of “addiction”. Further, when addictive behaviors and biology are critically examined in totality, they contrast dramatically from those associated with the desire for sweet taste. Finally, the evidence is strong that responses to the palatability of sweets rather than their metabolic consequences are the salient features for reward value. Thus, given the complexity of the controls of food intake in humans, we question the usefulness of the “addiction” model in dissecting the causes and effects of sweet food over-consumption.

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