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1.
J Int Soc Sports Nutr ; 21(1): 2345358, 2024 Dec.
Article En | MEDLINE | ID: mdl-38708971

BACKGROUND: Nutritional intake and sleep, play an important role for recovery and performance in elite sport but little work has been undertaken in archery. The present study aimed to assess energy intake (EI), hydration status, and sleep parameters in world-class male archers over the course of a four-day competition. METHODS: Results, Conclusions Six male, elite-standard archers participated in the study and measurements of hydration status, EI, competition load, and sleep were recorded throughout each day of competition. RESULTS: Daily energy, carbohydrate, and protein intake ranged between 2,563 and 3,986 kcal, 4 and 7.1 g/kg BM, 2.2 and 3.6 g/kg BM per day, respectively. Thus, archers practiced elements of periodized nutrition such that energy and carbohydrate intake was greater on the high-volume competition days (i.e. days 1 and 3; more numbers of arrows, longer duration, and walking distance) in comparison to low-volume days (days 2 and 4) over the tournament (all p > 0.01). Additionally, urine specific gravity was higher after waking, compared to pre- and post-competition, and before bed (all p < 0.05). This indicates that archers were euhydrated pre- and post-competition and before bedtime, while they were slightly hypohydrated after waking up. Sleep data show that disturbances were kept to a minimum. CONCLUSIONS: Collectively, archers appear capable of periodizing their nutritional intake according to daily physical loading during a tournament whilst, staying euhydrated and maintaining sleep quality. In part, such data can help to explain why these archers experience a sustained level of success.


Energy Intake , Sleep , Sports Nutritional Physiological Phenomena , Humans , Male , Sleep/physiology , Energy Intake/physiology , Young Adult , Adult , Competitive Behavior/physiology , Organism Hydration Status/physiology , Dietary Carbohydrates/administration & dosage , Dietary Proteins/administration & dosage , Dehydration , Athletic Performance/physiology
2.
Trop Anim Health Prod ; 56(4): 159, 2024 May 10.
Article En | MEDLINE | ID: mdl-38730223

Cell components soluble in neutral detergent are a diverse group, both compositionally and nutritionally. The present study aimed to evaluate production responses, behavior (eating, ruminating, and idling), and nitrogen balance of dairy goats fed different ratios of neutral detergent-soluble carbohydrate fractions. Five multiparous Alpine does with mean ± SD initial body mass of 49.5 ± 7.9 kg and 60 days of lactation were randomly assigned in a 5 × 5 Latin square design. The treatments were the ratios of starch (starch associated with soluble sugar [StSS]) to neutral detergent-soluble fiber (NDSF) (StSS:NDSF): 0.89, 1.05, 1.24, 1.73, and 2.92. No effect was observed (P > 0.05) of StSS:NDSF on the intakes of neutral detergent fiber (NDF) and NDSC. However, DM intake showed a quadratic behavior (P = 0.049). The ingestive behavior was affected by StSS:NDSF linearly increased (P = 0.002) the feeding efficiency. The increase in StSS:NDSF caused a linear increase in fecal (P = 0.011), urinary (P < 0.001), and milk nitrogen excretion (P = 0.024). The increase in StSS:NDSF affected (P = 0.048) milk yield and net energy lactation (P = 0.036). In conclusion, dairy goats experience reduced dry matter intake and milk yield when subjected to high-NDSC diets, specifically those above 1.24 StSS:NDSF ratio. Elevated NDSC levels in the diets lead to decreased feeding time, whereas rumination remains unaffected. Nitrogen losses in goats increase linearly with high-NDSC diets, and a significant impact on nitrogen balance.


Animal Feed , Animal Nutritional Physiological Phenomena , Diet , Goats , Lactation , Milk , Nitrogen , Animals , Goats/physiology , Female , Nitrogen/metabolism , Nitrogen/analysis , Diet/veterinary , Milk/chemistry , Animal Feed/analysis , Feeding Behavior/drug effects , Random Allocation , Dietary Fiber/analysis , Dietary Fiber/administration & dosage , Dietary Carbohydrates/analysis , Dietary Carbohydrates/administration & dosage
3.
Sci Rep ; 14(1): 10631, 2024 05 09.
Article En | MEDLINE | ID: mdl-38724633

Higher fat-to-muscle mass ratio (FMR) is reported to be a risk factor for various diseases, including type 2 diabetes and cardiovascular diseases, and mortality. Although this association suggests that reducing FMR may help to prevent certain diseases and mortality, the relationship between FMR and lifestyle factors is unclear. Therefore, we performed a cross-sectional study with the aim to elucidate this relationship. This cross-sectional study included 1518 healthy Japanese adults aged 30 to 64 years. We measured FMR in the whole body, arms, legs, and trunk and assessed various lifestyle factors. Then, we performed forced entry multiple regression analyses for FMR with the following variables: sex, age, physical activity, dietary intake, sleep quality, cigarette smoking, stress levels, and body mass index. As a result, whole-body and regional FMRs were correlated with female sex (ß = 0.71); age (ß = 0.06); physical activity (ß = - 0.07); dietary intake of protein (ß = - 0.12), carbohydrate (ß = 0.04), sodium (ß = 0.13), and fiber (ß = - 0.16); and body mass index (ß = 0.70). The results suggest that in the Japanese middle-aged population, low FMR is associated with certain lifestyle factors, i.e. higher physical activity and a diet with higher protein and fiber and lower carbohydrate and sodium, independent of age, sex, and body mass index.


Dietary Carbohydrates , Dietary Fiber , Dietary Proteins , Exercise , Humans , Male , Female , Cross-Sectional Studies , Middle Aged , Adult , Exercise/physiology , Dietary Fiber/administration & dosage , Dietary Proteins/administration & dosage , Dietary Carbohydrates/administration & dosage , Body Mass Index , Japan , Muscle, Skeletal/physiology , Muscle, Skeletal/metabolism , Sodium, Dietary/administration & dosage , Adipose Tissue/metabolism , Body Composition , Life Style
4.
Nutrients ; 16(9)2024 Apr 26.
Article En | MEDLINE | ID: mdl-38732543

This observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) and 14 with normoglycemia (N-GLYC). We hypothesized that a prolonged eating window and late eating occasions (EOs), along with a higher dietary carbohydrate intake, would result in higher glucose levels and glucose variability (GV). General linear models were run with meal timing with time-stamped photographs in real time, and diet composition by dietary recalls, and their variability (SD), as predictors and glucose variables (mean glucose, mean amplitude of glucose excursions [MAGE], largest amplitude of glucose excursions [LAGE] and GV) as dependent variables. After adjusting for calories and nutrients, a later eating midpoint predicted a lower GV (ß = -2.3, SE = 1.0, p = 0.03) in D-GLYC, while a later last EO predicted a higher GV (ß = 1.5, SE = 0.6, p = 0.04) in N-GLYC. A higher carbohydrate intake predicted a higher MAGE (ß = 0.9, SE = 0.4, p = 0.02) and GV (ß = 0.4, SE = 0.2, p = 0.04) in N-GLYC, but not D-GLYC. In summary, our data suggest that meal patterns interact with dietary composition and should be evaluated as potential modifiable determinants of glucose in adults with and without dysglycemia. Future research should evaluate causality with controlled diets.


Blood Glucose , Diabetes Mellitus, Type 2 , Diet , Meals , Prediabetic State , Humans , Pilot Projects , Male , Female , Prediabetic State/blood , Diabetes Mellitus, Type 2/blood , Blood Glucose/metabolism , Adult , Middle Aged , Feeding Behavior , Dietary Carbohydrates/administration & dosage , Aged
5.
Nutrients ; 16(9)2024 Apr 28.
Article En | MEDLINE | ID: mdl-38732572

The effects of gut microbiota on the association between carbohydrate intake during pregnancy and neonatal low birth weight (LBW) were investigated. A prospective cohort study was conducted with 257 singleton-born mother-child pairs in Taiwan, and maternal dietary intake was estimated using a questionnaire, with each macronutrient being classified as low, medium, or high. Maternal fecal samples were collected between 24 and 28 weeks of gestation, and gut microbiota composition and diversity were profiled using 16S rRNA amplicon gene sequencing. Carbohydrates were the major source of total energy (56.61%), followed by fat (27.92%) and protein (15.46%). The rate of infant LBW was 7.8%, which was positively correlated with maternal carbohydrate intake. In the pregnancy gut microbiota, Bacteroides ovatus and Dorea spp. were indirectly and directly negatively associated with fetal growth, respectively; Rosenburia faecis was directly positively associated with neonatal birth weight. Maternal hypertension during pregnancy altered the microbiota features and was associated with poor fetal growth. Microbiota-accessible carbohydrates can modify the composition and function of the pregnancy gut microbiota, thus providing a potential marker to modulate deviations from dietary patterns, particularly in women at risk of hypertension during pregnancy, to prevent neonatal LBW.


Dietary Carbohydrates , Feces , Gastrointestinal Microbiome , Infant, Low Birth Weight , Humans , Female , Gastrointestinal Microbiome/drug effects , Pregnancy , Infant, Newborn , Adult , Prospective Studies , Feces/microbiology , Maternal Nutritional Physiological Phenomena , Taiwan , RNA, Ribosomal, 16S/genetics , Fetal Development
6.
Nutrients ; 16(9)2024 May 02.
Article En | MEDLINE | ID: mdl-38732629

Monitoring glycemic control status is the cornerstone of diabetes management. This study aimed to reveal whether moderate-carbohydrate (CHO) diets increase the risk of free fatty acid (FFA) levels, and it presents the short-term effects of four different diet models on blood sugar, glycemic variability (GV), and FFA levels. This crossover study included 17 patients with type 1 diabetes mellitus to identify the effects of four diets with different CHO contents and glycemic index (GI) on GV and plasma FFA levels. Diet 1 (D1) contained 40% CHO with a low GI, diet 2 (D2) contained 40% CHO with a high GI, diet 3 (D3) contained 60% CHO with a low GI, and diet 4 (D4) contained 60% CHO with a high GI. Interventions were performed with sensor monitoring in four-day periods and completed in four weeks. No statistical difference was observed among the groups in terms of blood glucose area under the curve (p = 0.78), mean blood glucose levels (p = 0.28), GV (p = 0.59), and time in range (p = 0.567). FFA and total triglyceride levels were higher in the D1 group (p < 0.014 and p = 0.002, respectively). Different diets may increase the risk of cardiovascular diseases by affecting GI, FFA, and blood glucose levels.


Blood Glucose , Cross-Over Studies , Diabetes Mellitus, Type 1 , Dietary Carbohydrates , Fatty Acids, Nonesterified , Glycemic Index , Humans , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/diet therapy , Fatty Acids, Nonesterified/blood , Blood Glucose/metabolism , Dietary Carbohydrates/administration & dosage , Male , Female , Adult , Glycemic Control/methods , Middle Aged , Young Adult , Triglycerides/blood
7.
J Clin Invest ; 134(9)2024 May 01.
Article En | MEDLINE | ID: mdl-38690730

The gut microbiota is an integral part of the human metaorganism that is required to shape physiologic host immune responses including host defense against pathogens. Disease-associated gut dysbiosis has been characterized by blooms of pathobionts, which are bacterial species that can drive disease under certain conditions. Pathobionts like Enterobacteriaceae often bloom during flares of inflammatory bowel disease (IBD) and are causally linked with IBD in murine models. In this issue of the JCI, Hecht and colleagues investigated how simple carbohydrates are causally linked to the bloom of the gut pathobiont Klebsiella pneumoniae, which belong to the Enterobacteriaceae family. Notably, the presence of fiber reduced the dissemination of K. pneumoniae into the blood and liver in a colitis model. Their findings provide a diet-related mechanism for gut dysbiosis, which has implications in the management of IBD and other conditions in which gut dysbiosis is an underlying factor.


Dysbiosis , Gastrointestinal Microbiome , Inflammatory Bowel Diseases , Klebsiella pneumoniae , Humans , Animals , Inflammatory Bowel Diseases/microbiology , Mice , Dietary Carbohydrates/adverse effects , Klebsiella Infections , Colitis/chemically induced , Colitis/microbiology , Dietary Fiber
8.
J Diabetes ; 16(5): e13555, 2024 May.
Article En | MEDLINE | ID: mdl-38721664

BACKGROUND: The association between macronutrient intake and diabetes is unclear. We used data from the China Health and Nutrition Survey to explore the association between macronutrient intake trajectories and diabetes risk in this study. METHODS: We included 6755 participants who did not have diabetes at baseline and participated in at least three surveys. The energy supply ratio of carbohydrate, protein, and fat was further calculated from dietary data; different macronutrient trajectories were determined using multitrajectory models; and multiple Cox regression models were used to evaluate the association between these trajectories and diabetes. RESULTS: We found three multitrajectories: decreased low carbohydrate-increased moderate protein-increased high fat (DLC-IMP-IHF), decreased high carbohydrate-moderate protein-increased low fat (DHC-MP-ILF), and balanced-macronutrients (BM). Compared to the BM trajectory, DHC-MP-ILF trajectories were significantly associated with increased risk of diabetes (hazard ratio [HR]: 3.228, 95% confidence interval [CI]: 1.571-6.632), whereas no association between DLC-IMP-IHF trajectories and diabetes was found in our study (HR: 0.699, 95% CI: 0.351-1.392). CONCLUSIONS: The downward trend of high carbohydrate and the increasing trend of low fat increased the risk of diabetes in Chinese adults.


Dietary Carbohydrates , Nutrients , Humans , Female , Male , China/epidemiology , Middle Aged , Adult , Nutrients/analysis , Dietary Carbohydrates/adverse effects , Dietary Carbohydrates/administration & dosage , Risk Factors , Nutrition Surveys , Dietary Fats/adverse effects , Dietary Fats/administration & dosage , Diabetes Mellitus/epidemiology , Energy Intake , Dietary Proteins/administration & dosage , Diet/adverse effects , Diet/statistics & numerical data , East Asian People
9.
Nutrients ; 16(8)2024 Apr 22.
Article En | MEDLINE | ID: mdl-38674938

(1) Background: This study compared the effects of mouth rinsing with a carbohydrate trial (CMR) and a placebo trial (PL) on concentric and eccentric contraction strength in multi-joint resistance exercise performance. (2) Methods: Twenty healthy adult men (age: 22.4 ± 3.7 years, body mass index: 26 ± 3.8, peak power: 378.3 ± 138.7 W) were recruited in this study. Participants were employed in a double-blind, randomized crossover design to divide participants into carbohydrate mouth rinsing trial (CMR) and placebo trial (PL). After warming up, participants used 6.6% maltodextrin (CMR) or mineral water (PL) to rinse their mouth for 20 s. Next, the participants underwent tests of maximum inertial Romanian deadlift resistance exercise comprising five sets of six reps, with 3 min rests between sets. After deducting the first repetition of each set, the mean values from the five sets were analyzed. (3) Results: The concentric peak power of the CMR trial was significantly higher than that of the PL trial (p = 0.001, Cohen's d = 0.46), the eccentric peak power of the CMR trial was significantly higher than that of the PL trial (p = 0.008, Cohen's d = 0.56), and the total work of the CMR trial was significantly higher than that of PL trial (p = 0.002, Cohen's d = 0.51). (4) Conclusions: These findings demonstrate that mouth rinsing with carbohydrates before exercise can improve concentric and eccentric contraction strength in multi-joint resistance exercise performance.


Cross-Over Studies , Dietary Carbohydrates , Mouthwashes , Humans , Male , Young Adult , Double-Blind Method , Mouthwashes/administration & dosage , Adult , Dietary Carbohydrates/administration & dosage , Polysaccharides/administration & dosage , Resistance Training/methods , Muscle Strength , Athletic Performance/physiology , Romania , Exercise/physiology
10.
FP Essent ; 539: 7-12, 2024 Apr.
Article En | MEDLINE | ID: mdl-38648169

Macronutrients are nutrients the body needs in large quantities, such as fats, carbohydrates, fiber, protein, and water. The exact quantity of macronutrients needed for an individual depends on multiple factors such as height, weight, sex, physical activity level, and medical conditions. For adequate intake, the Dietary Guidelines for Americans, 2020-2025 (DGA) recommend an overall healthy eating pattern rather than specific macronutrient amounts. A healthy eating pattern includes consumption of minimally processed, nutrient-dense foods and beverages such as vegetables, fruits, grains, dairy, proteins, and oils. Nutrition labels on food packaging can be used to guide food choices. Healthy dietary patterns have been shown to reduce the risk of diet-related chronic diseases. Consumption of foods containing unsaturated fats, complex carbohydrates, and high levels of fiber is recommended. Protein should be obtained from a variety of sources, particularly plant-based sources. Intake of foods and beverages higher in added sugars, saturated fat, and sodium should be limited. Family physicians should obtain a nutrition history for every patient regardless of body mass index. The evaluation should include a diet assessment questionnaire and information about patient nutrition insight and motivation, dietary intake pattern, metabolic demands, comorbid conditions, and dietary supplement and substance use (eg, caffeine, alcohol). Physicians can counsel patients by sharing current DGA recommendations for following a healthy eating pattern.


Nutrients , Humans , Diet, Healthy , Dietary Fats , Dietary Proteins/administration & dosage , Dietary Fiber/administration & dosage , Nutrition Policy , Nutrition Assessment , Dietary Carbohydrates/administration & dosage
11.
Neotrop Entomol ; 53(3): 578-595, 2024 Jun.
Article En | MEDLINE | ID: mdl-38687423

The ability of an organism to respond to nutritional stress can be a plastic character under the action of natural selection, affecting several characteristics, including life history and energy storage. The genus Drosophila (Diptera; Drosophilidae) presents high variability regarding natural resource exploration. However, most works on this theme have studied the model species D. melanogaster Meigen, 1830 and little is known about Neotropical drosophilids. Here we evaluate the effects of three diets, with different carbohydrate-to-protein ratios, on life history (viability and development time) and metabolic pools (triglycerides, glycogen, and total soluble protein contents) of three Neotropical species of Drosophila: D. maculifrons Duda, 1927; D. ornatifrons Duda, 1927, both of the subgenus Drosophila Sturtevant, 1939, and D. willistoni Sturtevant, 1916 of the subgenus Sophophora Sturtevant, 1939. Our results showed that only D. willistoni was viable on all diets, D. maculifrons was not viable on the sugary diet, while D. ornatifrons was barely viable on this diet. The sugary diet increased the development time of D. willistoni and D. ornatifrons, and D. willistoni glycogen content. Thus, the viability of D. maculifrons and D. ornatifrons seems to depend on a certain amount of protein and/or a low concentration of carbohydrate in the diet. A more evident effect of the diets on triglyceride and protein pools was detected in D. ornatifrons, which could be related to the adult attraction to dung and carrion baited pitfall as food resource tested in nature. Our results demonstrated that the evolutionary history and differential adaptations to natural macronutrient resources are important to define the amplitude of response that a species can present when faced with dietary variation.


Diet , Drosophila , Life History Traits , Animals , Drosophila/physiology , Energy Metabolism , Female , Male , Glycogen/metabolism , Dietary Proteins , Dietary Carbohydrates
13.
Wei Sheng Yan Jiu ; 53(2): 189-208, 2024 Mar.
Article Zh | MEDLINE | ID: mdl-38604952

OBJECTIVE: To explore the relationship between the percentage of energy intake from macronutrients and obesity in Chinese adult residents, and analyze the cut-off values of macronutrients for predicting obesity. METHODS: Data was collected in China Health and Nutrition Survey(CHNS)in 1991-2018. Adults who participated in at least two waves of the surveys and were not obese at baseline were selected as the study subjects. Obesity was defined as body mass index(BMI)≥28.0 kg/m~2. Generalized estimating equation was used to analyze the relationship between the percentage of energy intake from macronutrients and BMI and obesity, and receiver operating characteristic curve(ROC) was used to analyze the cut-off values of percentage of energy intake from macronutrients to predict obesity. RESULTS: The percentage of energy intake from protein and fat of adult residents in 15 provinces(autonomous regions and municipalities) in China showed an increasing trend(P<0.01), and the percentage of energy intake from carbohydrate showed a decreasing trend(P<0.01) between 1991 and 2018. After adjusting for covariates, the group of percentage of energy intake from fat in 20%~30%(ß=0.05, 95%CI 0.01-0.08)and ≥30%(ß=0.15, 95%CI 0.11-0.18)were positively correlated with BMI compared with the group of percentage of energy intake from fat <20%, and the risk of obesity in 20%-30% and ≥ 30% was increased by 17%(OR=1.17, 95%CI 1.04-1.31)and 6%(OR=1.06, 95%CI 1.24-1.56), respectively. Compared with the group of the percentage of energy intake from carbohydrate < 50%, the group of 50% to 65%(ß=-0.08, 95% CI-0.11--0.05) and ≥ 65%(ß=-0.17, 95%CI-0.20--0.13) was negatively correlated with BMI, and the percentage of energy intake from carbohydrate ≥ 65% reduced the risk of obesity(OR=0.71, 95%CI 0.63-0.80). CONCLUSION: Carbohydrate intake was inversely correlated with the risk of obesity, and fat intake was positively correlated with the risk of obesity. Moderate intake of carbohydrates and reduced fat intake can prevent obesity.


Energy Intake , Obesity , Adult , Humans , Obesity/epidemiology , Nutrients , Body Mass Index , Dietary Carbohydrates , China/epidemiology
15.
Clin Nutr ; 43(5): 1117-1124, 2024 May.
Article En | MEDLINE | ID: mdl-38582014

BACKGROUND & AIMS: The relationship between diet and health, particularly the role of carbohydrates, has been extensively studied. However, carbohydrate intake based on individual health conditions remains unclear. Here, we aimed to investigate whether the association between carbohydrate intake and all-cause mortality varied between individuals with and without diabetes mellitus (DM). METHODS: This prospective cohort study used data from the Korean Genome and Epidemiology Study (KoGES). Overall, 143,050 participants were included, with 10.1% having DM. Dietary intake was assessed using a semiquantitative food frequency questionnaire. Cox proportional hazards regression models were used to assess the association between carbohydrate intake and mortality after adjusting for confounders. RESULTS: The study showed that 5436 deaths occurred during the median follow-up period of 10.1 years. A significant interaction between carbohydrate intake and DM was observed in the study population (interaction p = 0.061). Higher carbohydrate intake proportion was associated with an increased risk of all-cause mortality among individuals with DM (adjusted hazard ratio [HR], p-value = 1.10 [1.01-1.20], p = 0.032). Conversely, no association was observed between the proportion of carbohydrate intake and all-cause mortality in participants without DM. Additionally, both total sugar and added sugar intakes were associated with an increased risk of all-cause mortality in participants with DM (adjusted HR, p-value = 1.02 [1.01-1.04], p < 0.001 and 1.18 [1.13-1.24], p < 0.001). CONCLUSIONS: High carbohydrate (%) and added sugar intake were associated with an increased mortality risk in individuals with DM. Reducing carbohydrate intake and opting for healthy carbohydrates to mitigate mortality risk may be beneficial for individuals with DM, particularly when compared with the general population.


Diabetes Mellitus , Dietary Carbohydrates , Humans , Prospective Studies , Male , Female , Middle Aged , Dietary Carbohydrates/administration & dosage , Republic of Korea/epidemiology , Diabetes Mellitus/mortality , Diabetes Mellitus/epidemiology , Aged , Proportional Hazards Models , Risk Factors , Diet/statistics & numerical data , Cause of Death
16.
Obesity (Silver Spring) ; 32(5): 949-958, 2024 May.
Article En | MEDLINE | ID: mdl-38650517

OBJECTIVE: We investigated how changes in 24-h respiratory exchange ratio (RER) and substrate oxidation during fasting versus an energy balance condition influence subsequent ad libitum food intake. METHODS: Forty-four healthy, weight-stable volunteers (30 male and 14 female; mean [SD], age 39.3 [11.0] years; BMI 31.7 [8.3] kg/m2) underwent 24-h energy expenditure measurements in a respiratory chamber during energy balance (50% carbohydrate, 30% fat, and 20% protein) and 24-h fasting. Immediately after each chamber stay, participants were allowed 24-h ad libitum food intake from computerized vending machines. RESULTS: Twenty-four-hour RER decreased by 9.4% (95% CI: -10.4% to -8.5%; p < 0.0001) during fasting compared to energy balance, reflecting a decrease in carbohydrate oxidation (mean [SD], -2.6 [0.8] MJ/day; p < 0.0001) and an increase in lipid oxidation (2.3 [0.9] MJ/day; p < 0.0001). Changes in 24-h RER and carbohydrate oxidation in response to fasting were correlated with the subsequent energy intake such that smaller decreases in fasting 24-h RER and carbohydrate oxidation, but not lipid oxidation, were associated with greater energy intake after fasting (r = 0.31, p = 0.04; r = 0.40, p = 0.007; and r = -0.27, p = 0.07, respectively). CONCLUSIONS: Impaired metabolic flexibility to fasting, reflected by an inability to transition away from carbohydrate oxidation, is linked with increased energy intake.


Energy Intake , Energy Metabolism , Fasting , Humans , Female , Male , Adult , Energy Metabolism/physiology , Middle Aged , Healthy Volunteers , Oxidation-Reduction , Dietary Carbohydrates/administration & dosage , Dietary Carbohydrates/metabolism , Lipid Metabolism/physiology , Eating/physiology , Body Mass Index
17.
BMC Pediatr ; 24(1): 267, 2024 Apr 24.
Article En | MEDLINE | ID: mdl-38658854

BACKGROUND: The school-age is a crucial period of physical and cognitive growth, which requires an assessment of dietary intake and its influence on body weight and height. This study aims to determine the association between the quality and quantity of carbohydrate intake with selected anthropometric indices in primary school girls in Kerman City, Iran. METHODS: This cross-sectional study was conducted on 330 primary school girls ages 6-12 years in Kerman. We used a validated and reliable dish-based 185-item food frequency questionnaire to evaluate people's food intake. We assessed the amount of carbohydrates in children's diets as the percentage of daily calories and grams per day. We used dietary fiber intake (grams/day), the glycemic load, the ratio of whole grain to total grain, and the ratio of solid carbohydrates to total carbohydrates to assess carbohydrate quality. Height, weight, and arm circumference were measured. We calculated body mass index (BMI) by dividing the weight in kilograms by the height in centimeters squared. We used the World Health Organization z-scores charts for girls 5 to 19 years old to assess z-scores for BMI-for-age (BAZ), height-for-age (HAZ), and weight-for-age (WAZ). Socioeconomic status and physical activity were assessed. We used ANOVA and ANCOVA statistical tests to assess the association between anthropometric indices and carbohydrate quantity and quality parameters. RESULTS: Participants with the highest amount of carbohydrate intake had significantly higher anthropometric indices, including arm circumference, BMI-for-age z score (BAZ), and Height-for-age z score (HAZ) (p < 0.001, p < 0.001, and p = 0.009, respectively). With the increase in glycemic load (GL) and dietary fiber intake, anthropometric indices including arm circumference (GL: p < 0.001, Fiber: p < 0.001), BAZ (GL: p < 0.001, Fiber: P < 0.001), and HAZ (GL: P = 0.009, Fiber: p < 0.001) increased significantly. CONCLUSIONS: We concluded that there was a positive association between the amount of carbohydrate intake and anthropometric indices (MUAC, BAZ, and HAZ). Also, with the increase in glycemic load and dietary fiber intake, the anthropometric indices including MUAC, BAZ, and HAZ increased.


Dietary Carbohydrates , Humans , Female , Cross-Sectional Studies , Iran , Child , Dietary Carbohydrates/administration & dosage , Anthropometry , Body Mass Index , Body Weight , Dietary Fiber/administration & dosage , Body Height
18.
J Anim Sci ; 1022024 Jan 03.
Article En | MEDLINE | ID: mdl-38581217

Pelleted total mixed ration (P-TMR) feeding, which has become a common practice in providing nutrition for fattening sheep, requires careful consideration of the balance between forage neutral detergent fiber (FNDF) and rumen degradable starch (RDS) to maintain proper rumen functions. The present study aimed to investigate the effects of the dietary FNDF/RDS ratio (FRR) on chewing activity, ruminal fermentation, ruminal microbes, and nutrient digestibility in Hu sheep fed a P-TMR diet. This study utilized eight ruminally cannulated male Hu sheep, following a 4 × 4 Latin square design with 31 d each period. Diets consisted of four FRR levels: 1.0 (high FNDF/RDS ratio, HFRR), 0.8 (middle high FNDF/RDS ratio, MHFRR), 0.6 (middle low FNDF/RDS ratio, MLFRR), and 0.4 (low FNDF/RDS ratio, LFRR). Reducing the dietary FRR levels resulted in a linear decrease in ruminal minimum pH and mean pH, while linearly increasing the duration and area of pH below 5.8 and 5.6, as well as the acidosis index. Sheep in the HFRR and MHFRR groups did not experience subacute ruminal acidosis (SARA), whereas sheep in another two groups did. The concentration of total volatile fatty acid and the molar ratios of propionate and valerate, as well as the concentrate of lactate in the rumen linearly increased with reducing dietary FRR, while the molar ratio of acetate and acetate to propionate ratio linearly decreased. The degradability of NDF and ADF for alfalfa hay has a quadratic response with reducing the dietary FRR. The apparent digestibility of dry matter, organic matter, neutral detergent fiber, and acid detergent fiber linearly decreased when the dietary FRR was reduced. In addition, reducing the dietary FRR caused a linear decrease in OTUs, Chao1, and Ace index of ruminal microflora. Reducing FRR in the diet increased the percentage of reads assigned as Firmicutes, but it decreased the percentage of reads assigned as Bacteroidetes in the rumen. At genus level, the percentage of reads assigned as Prevotella, Ruminococcus, Succinivibrio, and Butyrivibrio linearly decreased when the dietary FRR was reduced. The results of this study demonstrate that the dietary FRR of 0.8 is crucial in preventing the onset of SARA and promotes an enhanced richness of ruminal microbes and also improves fiber digestibility, which is a recommended dietary FRR reference when formulating P-TMR diets for sheep.


Forage neutral detergent fiber (FNDF) and rumen degradable starch (RDS) are key components of carbohydrates in the diet for ruminants, which would reflect saliva secretion and the acid production potential of feed. However, appropriate FNDF to RDS ratios (FRR) applicable to ruminants under the condition of pelleted total mixed ration (P-TMR) feeding have not been reported. In this study, we investigated the effects of the dietary FRR on chewing activity, ruminal fermentation, ruminal microbial communities, and nutrient digestibility of Hu sheep under P-TMR feeding. The results indicate that reducing dietary FRR levels would induce acidosis in sheep, which negatively affected fiber utilization and ruminal bacterial communities. The FRR of 0.8 was a recommended dietary FRR when formulating a P-TMR diet for fattening sheep, as indicated by decreased ruminal acidosis risk and increased richness of ruminal microbes in the rumen as well as nutrient digestibility.


Acidosis , Sheep Diseases , Male , Female , Animals , Sheep , Milk/metabolism , Mastication/physiology , Starch/metabolism , Lactation/physiology , Detergents/metabolism , Silage/analysis , Propionates/metabolism , Fermentation , Rumen/metabolism , Dietary Fiber/metabolism , Dietary Carbohydrates/metabolism , Diet/veterinary , Nutrients , Acetates/metabolism , Acidosis/veterinary , Digestion/physiology
19.
J Sports Sci ; 42(4): 313-322, 2024 Feb.
Article En | MEDLINE | ID: mdl-38478743

In contrast to male football players, research on the nutritional requirements of female football players is limited. This study aimed to assess total daily energy expenditure (TDEE) in professional female football players, along with body composition, physical activity and dietary intake. This observational study included 15 professional football players playing in the highest Dutch Women's League. TDEE was assessed by doubly labelled water over 14 days, along with resting metabolic rate (RMR; ventilated hood), fat-free mass (FFM; dual-energy x-ray absorptiometry), and dietary intake (24-h recalls). Physical activity energy expenditure (PAEE) was derived from subtracting RMR and estimated diet-induced thermogenesis (10%) from TDEE. TDEE was 2882 ± 278 kcal/day (58 ± 5 kcal/kg FFM) and significantly (p < 0.05) correlated with FFM (r = 0.62). PAEE was 1207 ± 213 kcal/d. Weighted energy intake was 2344 kcal [2023-2589]. Carbohydrate intakes were 3.2 ± 0.7, 4.4 ± 1.1 and 5.3 ± 1.9 g/kg body mass for rest, training and match days, respectively, while weighted mean protein intake was 1.9 ± 0.4 g/kg body mass. In conclusion, the energy requirements of professional female football players are moderate to high and can be explained by the substantial PAEE. To fuel these requirements, sports nutritionists should consider shifting the players' focus towards prioritizing adequate carbohydrate intakes, rather than emphasizing high protein consumption.


Basal Metabolism , Body Composition , Dietary Proteins , Energy Intake , Energy Metabolism , Soccer , Humans , Female , Energy Metabolism/physiology , Energy Intake/physiology , Soccer/physiology , Young Adult , Adult , Dietary Proteins/administration & dosage , Basal Metabolism/physiology , Netherlands , Dietary Carbohydrates/administration & dosage , Nutritional Requirements , Sports Nutritional Physiological Phenomena , Exercise/physiology , Thermogenesis/physiology , Diet
20.
J Clin Invest ; 134(9)2024 Mar 21.
Article En | MEDLINE | ID: mdl-38512401

Bacterial translocation from the gut microbiota is a source of sepsis in susceptible patients. Previous work suggests that overgrowth of gut pathobionts, including Klebsiella pneumoniae, increases the risk of disseminated infection. Our data from a human dietary intervention study found that, in the absence of fiber, K. pneumoniae bloomed during microbiota recovery from antibiotic treatment. We thus hypothesized that dietary nutrients directly support or suppress colonization of this gut pathobiont in the microbiota. Consistent with our study in humans, complex carbohydrates in dietary fiber suppressed the colonization of K. pneumoniae and allowed for recovery of competing commensals in mouse models. In contrast, through ex vivo and in vivo modeling, we identified simple carbohydrates as a limiting resource for K. pneumoniae in the gut. As proof of principle, supplementation with lactulose, a nonabsorbed simple carbohydrate and an FDA-approved therapy, increased colonization of K. pneumoniae. Disruption of the intestinal epithelium led to dissemination of K. pneumoniae into the bloodstream and liver, which was prevented by dietary fiber. Our results show that dietary simple and complex carbohydrates were critical not only in the regulation of pathobiont colonization but also disseminated infection, suggesting that targeted dietary interventions may offer a preventative strategy in high-risk patients.


Dietary Carbohydrates , Gastrointestinal Microbiome , Klebsiella Infections , Klebsiella pneumoniae , Klebsiella pneumoniae/metabolism , Humans , Mice , Animals , Klebsiella Infections/microbiology , Klebsiella Infections/prevention & control , Dietary Carbohydrates/metabolism , Female , Male , Dietary Fiber/metabolism , Intestinal Mucosa/microbiology , Intestinal Mucosa/metabolism , Intestines/microbiology
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