scholarly journals Possible Association of Energy Availability with Transferrin Saturation and Serum Iron during Summer Camp in Male Collegiate Rugby Players

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2963
Author(s):  
Madoka Tokuyama ◽  
Jun Seino ◽  
Keishoku Sakuraba ◽  
Yoshio Suzuki
Keyword(s):  
Energy Balance ◽  
Serum Iron ◽  
Significant Positive Correlation ◽  
Summer Camp ◽  
Transferrin Saturation ◽  
Energy Availability ◽  
Male College ◽  
Additive Factor Method ◽  
Rugby Players ◽  
Low Energy Availability

Low energy availability (LEA) may persist in rugby players. However, timely assessment of energy balance is important but is difficult. Therefore, a practical index that reflects energy availability (EA) is essential. A total of 19 male college rugby players participated in a 2-week pre-season summer camp. Their blood sample was collected after overnight fast prior to (Pre), in the middle (Middle), and after (Post) the camp. Their physical activity in the first half of the camp was calculated using the additive factor method in the forwards (FW; numbers 1–8) and backs (BK; numbers 9–15). The participants were categorized as tight five (T5; numbers 1–5), back row (BR; numbers 6–8), and BK for analysis. All the participants lost weight during the camp (range: from −5.9% to −0.1%). Energy balance in the first half of the camp was negative. Transferrin saturation (TSAT) and serum iron levels significantly decreased to half, or even less, compared with the Pre levels at week 1 and remained low. The changes in TSAT and serum iron levels exhibited a significant positive correlation with the changes in body weight (R = 0.720; R = 0.627) and with energy intake (R = 0.410; R = 461) in T5. LEA occurs in rugby summer camp but is difficult to assess using weight change. Alternately, TSAT and serum iron levels after overnight fast may be better predictors of LEA.

scholarly journals Accuracy of resting metabolic rate prediction equations in female rugby players

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Jack O'Neill ◽  
Ciara Walsh ◽  
Senan McNulty ◽  
Martha Corish ◽  
Hannah Gantly ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Muscle Damage ◽  
Resting Metabolic Rate ◽  
Low Energy ◽  
Strenuous Exercise ◽  
Energy Availability ◽  
Prediction Equations ◽  
Individual Level ◽  
Rugby Players ◽  
Low Energy Availability

AbstractThis study aimed to investigate (1) the accuracy of resting metabolic rate (RMR) prediction equations in female rugby players on a group and individual level; and (2) whether individual differences in the accuracy of prediction equations is associated with muscle damage or energy availability.RMR was assessed in 14 female provincial and club rugby players (Age: 20–34 years, FFM: 47–63 kg, FM: 15–37%) training a minimum of twice per week. Participants attended the laboratory following an overnight fast and having avoided strenuous exercise for 24 hours. RMR was measured over 30 minutes by indirect calorimetry, and taken as the 10 minutes with the lowest variation. Body composition was assessed by air displacement plethysmography, muscle damage indicated by creatine kinase (CK) and risk of low energy availability assessed by the Low Energy Availability in Females Questionnaire. Accuracy of RMR prediction equations relevant to the general population and athletes were assessed including the Harris Benedict (1919), Cunningham (1980) and Ten Haaf FFM (2014) based equations.Measured RMR was 1748 ± 146 kcal/day (range: 1474–2010 kcal/day). Predicted RMR determined by the Harris-Benedict equation (1601 ± 120 kcal/day) was significantly lower than measured RMR (p < 0.001), whereas predicted RMR using the Cunningham (1753 ± 146 kcal/day, p = 0.89) and the Ten Haaf (1781 ± 115 kcal/day, p = 0.33) equations did not differ from measured RMR. On an individual level, 50% (n = 7), 86% (n = 12) and 79% (n = 11) of participants fell within 10% of the measured RMR value when RMR was predicted by Harris-Benedict, Cunningham and Ten Haaf equations respectively. CK values were 182 ± 155U/L (range: 25–490U/L). When correlations of the whole group were studied, the difference between predicted and measured RMR was not associated with CK (r = 0.13). However, in the two individuals who fell outside the 10% range of that predicted by the Cunningham equation, one above and one below, CK values were 428U/L and 166U/L respectively. Muscle damage (as indicated by a high CK value) could therefore be one potential explanation for the higher measured RMR in the individual who was above the Cunningham predicted value.In this cohort of female rugby players, the Cunningham equation showed the best accuracy on a group and individual level, suggesting this may be the most suitable prediction equation for this population. Further studies with larger sample sizes and investigating underlying reasons for why RMR measured values may differ from predicted values are needed.

scholarly journals Markers of Energy Metabolism Affect Lactate Metabolism and Aerobic Performance in Competitive Female Cyclists

2020 ◽  
Vol 10 (21) ◽  
pp. 7563
Author(s):  
Iva Jurov ◽  
Vedran Hadžić ◽  
Samo Rauter
Keyword(s):  
Energy Balance ◽  
Anaerobic Capacity ◽  
Resting Energy Expenditure ◽  
Relative Energy ◽  
Low Energy ◽  
Aerobic Performance ◽  
Energy Availability ◽  
Competitive Cyclists ◽  
Low Energy Availability ◽  
Incremental Testing

(1) Background: Low energy availability (LEA) has negative effects on performance, but mechanisms, timing, and other circumstances of these effects are not yet established. We aim to assess the performance-related effects of low energy availability in competitive female cyclists with a detailed approach to within-day energy availability (WDEB). (2) Methods: Female competitive cyclists (n = 8) completed the measurement of body composition, resting energy expenditure, and incremental testing; they reported diary logs and used accelerometers for energy availability (EA) calculation. Based on the Low Energy Availability in Females (LEAF) questionnaire, performance and energy parameters were compared between cyclists with risk for relative energy deficiency in sport (RED-S; the LEAF+ group) and cyclists without any risk (LEAF−). (3) Results: 87.5% had EA <30 kcal/kg. EA and energy balance in LEAF– were significantly different from LEAF+ cyclists (U = 0.00, z = −2.00, p < 0.05 and U = 0.00, z = −2.00, p < 0.05, respectively). We found significant correlations between WDEB−300 and EA (−0.736, p = 0.037) and energy balance (−0.732, p = 0.039). In addition, relative power output was correlated with mRMR/pRMR (−0.763, p = 0.046). (4) Conclusions: This study is the first to show that WDEB−300 in competitive female cyclists is greater in cyclists with risk for RED-S. Increased time in a catabolic state was correlated to worse anaerobic capacity in incremental testing. Measuring mRMR/pRMR might be useful as it was negatively associated with aerobic performance.

scholarly journals Body Composition, Dietary Intake and the Risk of Low Energy Availability in Elite-Level Competitive Rhythmic Gymnasts

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2083
Author(s):  
María Villa ◽  
José G. Villa-Vicente ◽  
Jesus Seco-Calvo ◽  
Juan Mielgo-Ayuso ◽  
Pilar S. Collado
Keyword(s):  
Body Composition ◽  
Dietary Intake ◽  
Body Fat ◽  
Low Energy ◽  
Energy Availability ◽  
Future Health ◽  
Elite Level ◽  
Low Energy Availability ◽  
Rhythmic Gymnasts ◽  
Recommended Level

The aim of this study was to analyze dietary intake and body composition in a group of elite-level competitive rhythmic gymnasts from Spain. We undertook body composition and nutritional analysis of 30 elite gymnasts, divided into two groups by age: pre-teen (9–12 years) (n = 17) and teen (13–18 years) (n = 13). Measures of height, weight, and bioimpedance were used to calculate body mass index and percent body fat. Energy and nutrient intakes were assessed based on 7-day food records. The two groups had similar percentages of total body fat (pre-teen: 13.99 ± 3.83% vs. teen: 14.33 ± 5.57%; p > 0.05). The energy availability values for pre-teens were above the recommended values (>40 kcal/FFM/day) 69.38 ± 14.47 kcal/FFM/day, while those for the teens were much lower (34.7 ± 7.5 kcal/FFM/day). The distribution of the daily energy intake across the macronutrients indicates that both groups ingested less than the recommended level of carbohydrates and more than the recommended level of fat. Very low intakes of calcium and vitamin D among other micronutrients were also noted. The main finding is that teenage gymnasts do not consume as much energy as they need each day, which explains their weight and development. Moreover, they are at a high risk of developing low energy availability that could negatively impact their performance and future health.

scholarly journals Associations of Human Colorectal Adenoma with Serum Biomarkers of Body Iron Stores, Inflammation and Antioxidant Protein Thiols

Antioxidants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1195
Author(s):  
Ben Schöttker ◽  
Xīn Gào ◽  
Eugène HJM Jansen ◽  
Hermann Brenner
Keyword(s):  
Iron Overload ◽  
Colorectal Adenoma ◽  
Serum Iron ◽  
Transferrin Saturation ◽  
Meat Consumption ◽  
Total Serum ◽  
Processed Meat ◽  
Hs Crp ◽  
Underlying Mechanisms ◽  
Processed Meat Consumption

Red and processed meat consumption and obesity are established risk factors for colorectal adenoma (CRA). Adverse changes in biomarkers of body iron stores (total serum iron, ferritin, transferrin and transferrin saturation), inflammation (high-sensitivity C-reactive protein [hs-CRP]) and anti-oxidative capacity (total of thiol groups (-S-H) of proteins [SHP]) might reflect underlying mechanisms that could explain the association of red/processed meat consumption and obesity with CRA. Overall, 100 CRA cases (including 71 advanced cases) and 100 CRA-free controls were frequency-matched on age and sex and were selected from a colonoscopy screening cohort. Odds ratios (OR) and 95% confidence intervals (95%CI) for comparisons of top and bottom biomarker tertiles were derived from multivariable logistic regression models. Ferritin levels were significantly positively associated with red/processed meat consumption and hs-CRP levels with obesity. SHP levels were significantly inversely associated with obesity. Transferrin saturation was strongly positively associated with overall and advanced CRA (ORs [95%CIs]: 3.05 [1.30–7.19] and 2.71 [1.03–7.13], respectively). Due to the high correlation with transferrin saturation, results for total serum iron concentration were similar (but not statistically significant). Furthermore, SHP concentration was significantly inversely associated with advanced CRA (OR [95%CI]: 0.29 [0.10–0.84]) but not with overall CRA (OR [95%CI]: 0.65 [0.27–1.56]). Ferritin, transferrin, and hs-CRP levels were not associated with CRA. Conclusions: High transferrin saturation as a sign of iron overload and a low SHP concentration as a sign of redox imbalance in obese patients might reflect underlying mechanisms that could in part explain the associations of iron overload and obesity with CRA.

scholarly journals The EnergyKids Pilot Study: Comparing Energy Balance of Primary School Children during School and Summer Camp

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 92
Author(s):  
Cinzia Franchini ◽  
Alice Rosi ◽  
Cristian Ricci ◽  
Francesca Scazzina
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Weight Status ◽  
Summer Camp ◽  
Negative Energy ◽  
Primary School Children ◽  
Food Diary ◽  
Activity Tracker ◽  
School Time ◽  
Study Participants

Children’s energy requirements may vary during school and summer camp days. To evaluate energy balance during these two periods, seventy-eight children (45% females, 8–10 years) living in Parma, Italy, were enrolled in this observational study. Participants completed a 3-day food diary and wore an activity tracker for three consecutive days during a school- and a summer camp-week to estimate energy intake (EI) and energy expenditure (TEE). Height and body weight were measured at the beginning of each period to define children’s weight status. BMI and EI (school: 1692 ± 265 kcal/day; summer camp: 1738 ± 262 kcal/day) were similar during both periods. Both physical activity and TEE (summer camp: 1948 ± 312; school: 1704 ± 263 kcal/day) were higher during summer camp compared to school time. Therefore, energy balance was more negative during summer camp (−209 ± 366 kcal/day) compared to school time (−12 ± 331 kcal/day). Similar results were observed when males and females were analyzed separately but, comparing the sexes, males had a higher TEE and a more negative energy balance than females, during both periods. The results strongly suggest that an accurate evaluation of children’s energy balance, that considers both diet and physical activity, is needed when planning adequate diets for different situations.

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

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.

Correlation of Iron Profile with Different Stages of Chronic Kidney Disease in Children Presenting at a Tertiary Care Hospital

2021 ◽  
Vol 15 (8) ◽  
pp. 2013-2016
Author(s):  
Shahid Ishaq ◽  
Muhammad Imran ◽  
Hashim Raza ◽  
Khuram Rashid ◽  
Muhammad Imran Ashraf ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Iron Overload ◽  
Serum Ferritin ◽  
Serum Iron ◽  
Tertiary Care ◽  
Transferrin Saturation ◽  
Maintenance Hemodialysis ◽  
Care Hospital ◽  
Iron Profile

Aim: To determine correlation of iron profile in children with different stages of chronic kidney disease (CKD) presenting to tertiary care hospital. Methodology: A total of 81 children with chronic kidney disease stage having glomerular filtration rate (GFR) less than 90 (ml/min/m2) aged 1 – 14 years of either sex were included. Three ml serum sample was taken in vial by hospital duty doctor for serum ferritin level, serum iron, transferrin saturation and total iron binding capacity. The sample was sent to hospital laboratory for reporting. Iron profiling was done evaluating hemoglobin (g/dl), serum iron (ug/dl), serum ferritin (ng/ml), transferrin saturation (%) and total iron binding capacity (ug/dl) while iron load was defined as serum ferritin levels above 300 ng/ml. Correlation of iron profile with different stages of CKD was determined applying one-way analysis of variance (ANOVA). Results: In a total 81 children, 46 (56.8%) were boys while overall mean age was 7.79±2.30 years. Mean duration on hemodialysis was 11.52 ± 9.97 months. Iron overload was observed in 26 (32.1%) children. Significant association of age above 7 years (p=0.031) and residential status as rural (p=0.017) was noted with iron overload whereas iron overload was increasing with increase in stages of CKD (p=0.002). Hemoglobin levels decreased significantly with increase in stages of CKD (p<0.001). Serum iron levels increased significantly with increase in the CKD stages (p=0.039). Serum ferritin levels were increasing significantly with the increase in CKD stages (p=0.031). Transferrin saturation also increased significant with increase in CKD stages (p=0.027). Conclusion: High frequency of iron overload was noted in children with CKD on maintenance hemodialysis and there was linear relationship with stages of CKD and iron overload. Significant correlation of hemoglobin, serum iron, serum ferritin and transferrin saturation was observed with different stages of CKD. Keywords: Iron overload, maintenance hemodialysis, ferritin level.

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