scholarly journals Position Specific Changes in Body Composition, Hydration Status and Metabolism During Preseason Training Camp and Nutritional Habits of Division III Football Players

2017 ◽  
Vol 10 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Andrew R. Jagim ◽  
Glenn A. Wright ◽  
Jacob Kisiolek ◽  
Margaret T. Jones ◽  
Jonathan M. Oliver

Background: To what extent pre-season training camp may impact body composition and metabolism in collegiate football players is unknown. Objective: The purpose of this study was to assess changes in body composition, dietary habits and metabolism following pre-season training in Division III American football players. Methods: Seventeen Division III football players (Ht: 1.80±0.6 m; BM: 99.1±60.1 kg; FFM: 79.7±8.6 kg; BF%: 19.3±8.6%) had their body composition and resting energy expenditure (REE) assessed in a fasted state (>12 hr.) before and upon completion of pre-season training. Pre-season training consisted of 14 days of intense training. Results: Linemen had a higher body mass, fat-free mass (FFM), and fat mass likely contributing to the higher REE (p < 0.01). A main effect for time was observed regarding changes in FFM (p<0.001) and body fat % (p = 0.024). A significant interaction was observed for FFM with linemen experiencing a greater reduction in FFM (-1.73±0.37 vs. -0.43±0.74 kg; p<0.001). Linemen (L) experienced a greater reduction in REE compared to non-linemen (NL) (L: -223.0±308.4 vs. NL: 3.27±200.1 kcals; p=0.085) albeit not statistically significant. Non-linemen consumed a higher amount of daily calories (p=0.036), carbohydrates (p=0.046), and protein (p=0.024) when expressed relative to body mass. Conclusion: The greater size in linemen prior to pre-season likely contributed to their higher REE. However, the multiple training bouts appeared to reduce REE in linemen, which may have been driven by the observed losses in FFM and low protein intake. Further, pre-season training increased body fat % in all players.

Author(s):  
Andrew Jagim ◽  
Jennifer B. Fields ◽  
Meghan Magee ◽  
Chad Kerksick ◽  
Joel Luedke ◽  
...  

Sport nutrition knowledge has been shown to influence dietary habits of athletes. The purpose of the current study was to examine relationships between sport nutrition knowledge and body composition and examine potential predictors of body weight goal in collegiate athletes. Participants included National Collegiate Athletic Association Division III women (n=42, height: 169.9 &plusmn; 6.9 cm; body mass: 67.1 &plusmn; 8.6 kg; fat-free mass: 51.3 &plusmn; 6.6 kg; body fat %: 24.2 &plusmn; 5.3%) and men (n=25, height: 180.8 &plusmn; 7.2 cm; body mass: 89.2 &plusmn; 20.5 kg; fat-free mass: 75.9 &plusmn; 12.2 kg; body fat %: 13.5 &plusmn; 8.9%) athletes. Body composition was assessed via air displacement plethysmography. Athletes completed a validated questionnaire designed to assess sport nutrition knowledge and were asked questions about their perceived dietary energy and macronutrient requirements, as well as their body weight goal (i.e. lose, maintain, gain weight). Athletes answered 47.98 &plusmn; 11.29 % of questions correctly on the nutrition questionnaire with no differences observed between sexes (men: 49.52 &plusmn; 11.76% vs. women: 47.03 &plusmn; 11.04%; p=0.40). An inverse relationship between sport nutrition knowledge scores and body fat percentage (r = -0.330; p=0.008), and fat mass (r = -.268; p=0.032) was observed for all athletes. Fat mass (&beta; = 0.224), BF % (&beta; = 0.217), and BMI (&beta; = 0.421) were all significant (p&amp;lt;0.05) predictors of body weight goal in women. All athletes significantly (p&amp;lt;0.001) underestimated daily energy (-1,360 &plusmn; 610.2 kcal/d), carbohydrate (-301.6 &plusmn; 149.2 g/d), and fat (-41.4 &plusmn; 34.5 g/d) requirements. Division III collegiate athletes have a low level of sport nutrition knowledge, which was associated with a higher BF %. Women athletes with a higher body weight, BF % and BMI were more likely to select weight loss as a body weight goal. Athletes also significantly underestimated their energy and carbohydrate requirements based upon the demands of their sport, independent of sex.


2019 ◽  
Vol 82 (4) ◽  
pp. 339-347
Author(s):  
Tereza Sofková ◽  
Michaela Hřivnová ◽  
Marie Chrásková

Abstract Appropriate dietary habits and healthy nutrition play a part in weight control. Set positive principles make precondition for satisfactory state of the body and its composition. Body mass index (BMI) is most commonly used to assess optimal body mass in relation to health risks. However, BMI does not enable the representation of individual body components and may lead to misdiagnosis in one person. The aim of our study was to evaluate dietary habits and selected body composition parameters based on BMI. Moreover, we evaluated these parameters in relation to the daily frequency of meals. The research group consisted of 318 female students of pedagogical disciplines of Palacký University in Olomouc, aged between 18 and 30 years. (22.3±2.5 years). The survey was conducted in March 2018 and 2019. Data on dietary habits were acquired through a questionnaire survey that focused on the daily frequency of meals. Multi-frequency bioimpedance analysis using InBody 720 analyser was used to determine body composition parameters. In the normal weight BMI (BMI_N) category, the selected parameters (BFP: body fat percentage, VFA: visceral fat, FFM: fat-free mass) based on general recommendations for body composition are met. In the overweight and obesity (BMI_O) category, the mean BFP values fall, as expected, into the obesity category (≥35%). We may conclude that statistically significantly lower relative risk of damage to health assessed by the body fat and visceral fat (BFM, BFP, VFA, BFMI) was found to be significantly lower in women who consume 5 meals per day compared to women who consume 4 or less daily portions of food. The differences between the BMI categories for individual meals during the day were statistically insignificant for the group we investigated. We evaluate the dietary habits positively based on the low frequency of skipping meals.


Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2239
Author(s):  
Andrew R. Jagim ◽  
Jennifer B. Fields ◽  
Meghan Magee ◽  
Chad Kerksick ◽  
Joel Luedke ◽  
...  

Sport nutrition knowledge has been shown to influence dietary habits of athletes. The purpose of the current study was to examine relationships between sport nutrition knowledge and body composition and examine potential predictors of body weight goals in collegiate athletes. Participants included National Collegiate Athletic Association Division III women (n = 42, height: 169.9 ± 6.9 cm; body mass: 67.1 ± 8.6 kg; fat-free mass: 51.3 ± 6.6 kg; body fat per cent: 24.2 ± 5.3%) and men (n = 25, height: 180.8 ± 7.2 cm; body mass: 89.2 ± 20.5 kg; fat-free mass: 75.9 ± 12.2 kg; body fat per cent: 13.5 ± 8.9%) athletes. Body composition was assessed via air displacement plethysmography. Athletes completed a validated questionnaire designed to assess sport nutrition knowledge and were asked questions about their perceived dietary energy and macronutrient requirements, as well as their body weight goal (i.e., lose, maintain, gain weight). Athletes answered 47.98 ± 11.29% of questions correctly on the nutrition questionnaire with no differences observed between sexes (men: 49.52 ± 11.76% vs. women: 47.03 ± 11.04%; p = 0.40). An inverse relationship between sport nutrition knowledge scores and body fat percentage (BF%) (r = –0.330; p = 0.008), and fat mass (r = –.268; p = 0.032) was observed for all athletes. Fat mass (β = 0.224), BF% (β = 0.217), and body mass index (BMI) (β = 0.421) were all significant (p < 0.05) predictors of body weight goal in women. All athletes significantly (p < 0.001) underestimated daily energy (–1,360 ± 610.2 kcal/day), carbohydrate (–301.6 ± 149.2 grams/day [g/day]), and fat (–41.4 ± 34.5 g/day) requirements. Division III collegiate athletes have a low level of sport nutrition knowledge, which was associated with a higher BF%. Women athletes with a higher body weight, BF% and BMI were more likely to select weight loss as a body weight goal. Athletes also significantly underestimated their energy and carbohydrate requirements based upon the demands of their sport, independent of sex.


Sports ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 85 ◽  
Author(s):  
Jennifer Fields ◽  
Justin Merrigan ◽  
Jason White ◽  
Margaret Jones

The purpose of this study was to assess the body composition of male and female basketball athletes (n = 323) across season, year, and sport-position using air displacement plethysmography. An independent sample t-test assessed sport-position differences. An analysis of variance was used to assess within-subjects across season (pre-season, in-season, and off-season), and academic year (freshman, sophomore, and junior). For both men and women basketball (MBB, WBB) athletes, guards had the lowest body fat, fat mass, fat free mass, and body mass. No seasonal differences were observed in MBB, but following in-season play for WBB, a reduction of (p = 0.03) in fat free mass (FFM) was observed. Across years, MBB showed an increase in FFM from freshman to sophomore year, yet remained unchanged through junior year. For WBB across years, no differences occurred for body mass (BM), body fat (BF%), and fat mass (FM), yet FFM increased from sophomore to junior year (p = 0.009). Sport-position differences exist in MBB and WBB: Guards were found to be smaller and leaner than forwards. Due to the importance of body composition (BC) on athletic performance, along with seasonal and longitudinal shifts in BC, strength and conditioning practitioners should periodically assess athletes BC to ensure preservation of FFM. Training and nutrition programming can then be adjusted in response to changes in BC.


2015 ◽  
Vol 45 (1) ◽  
pp. 187-195 ◽  
Author(s):  
Petr Kutáč ◽  
Martin Sigmund

Abstract The goals of this study were to evaluate the basic morphological variables of contemporary elite ice hockey players, compare the parameters of players in the top Russian ice hockey league (KHL) with those of the top Czech ice hockey league (ELH), and to evaluate the parameters of players according to their position in the game. The research participants included 30 KHL players (mean age: 27.1 ± 5.1 years) and 25 ELH players (mean age: 26.4 ± 5.8 years). We determined body height, body mass, and body composition (body fat, fat-free mass, segmental fat analysis). All measurements were performed at the end of preseason training. The KHL players had the following anthropometric characteristics: body height 182.97 ± 5.61 cm (forward) and 185.72 ± 3.57 cm (defenseman), body mass 89.70 ± 5.28 kg (forward) and 92.52 ± 4.01 kg (defenseman), body fat 10.76 ± 0.63 kg (forward) and 11.10 ± 0.48 kg (defenseman), fatfree mass 78.94 ± 4.65 kg (forward) and 81.42 ± 3.52 kg (defenseman). The values for ELH players were as follows: body height 182.06 ± 5.93 cm (forward) and 185.88 ± 7.13 cm (defenseman), body mass 88.47 ± 7.06 kg (forward) and 89.36 ± 10.91 kg (defenseman), body fat 12.57 ± 2.89 kg (forward) and 11.91 ± 3.10 kg (defenseman), fat-free mass 75.93 ± 6.54 kg (forward) and 77.46 ± 7.89 kg (defenseman). The results indicate that it is beneficial to ice hockey players to have increased body mass and lower body fat, which leads to higher muscle mass, thus enabling a player to perform at the highest level and meet the specific challenges of the game.


1999 ◽  
Vol 9 (2) ◽  
pp. 146-165 ◽  
Author(s):  
Michael H. Stone ◽  
Kimberly Sanborn ◽  
Lucille L. Smith ◽  
Harold S. O'Bryant ◽  
Tommy Hoke ◽  
...  

The purpose of this investigation was to study the efficacy of two dietary supplements on measures of body mass, body composition, and performance in 42 American football players. Group CM (n = 9) received creatine monohy-drate, Group P (n = 11) received calcium pyruvate. Group COM (n = 11) received a combination of calcium pyruvate (60%) and creatine (40%), and Group PL received a placebo. Tests were performed before (Tl) and after (T2) the 5-week supplementation period, during which the subjects continued their normal training schedules. Compared to P and PL. CM and COM showed significantly greater increases for body mass, lean body mass, 1 repetition maximum (RM) bench press, combined 1 RM squat and bench press, and static vertical jump (SVJ) power output. Peak rate of force development for SVJ was significantly greater for CM compared to P and PL. Creatine and the combination supplement enhanced training adaptations associated with body mass/composition, maximum strength, and SVJ; however, pyruvate supplementation alone was ineffective.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 11597-11597
Author(s):  
Paolo Pedrazzoli ◽  
Riccardo Caccialanza ◽  
Nicole Stobäus ◽  
Annalisa Turri ◽  
Catherine Klersy ◽  
...  

11597 Background: In cancer patients protein-calorie imbalances are responsible for decreased lean body mass and, in turn, for worse clinical outcome. We evaluated the prognostic value of a new body composition parameter (creatinine height index [CHI]) obtained from bioimpedance vectorial analysis-derived body cell mass and its association with nutritional and functional status. Methods: Data from Italian and German cancer patients based on information from previous prospective cohort studies were used. Multivariable models (adjusted for age, gender, hydration status, performance status, and disease stage) were built in both cohorts to assess the association between body composition outcome parameters (low fat-free mass [FFM], <15 [females] and <17 [males] kg/m2; low standardized phase angle [SPA], <-1.65; low CHI, <510 [females] and <660 [males] mg/24h/m) and 1-year all-cause mortality, low body mass index (BMI; <20 [<70 years] and <22 [>/=70 years] kg/m2), clinically significant weight loss (WL; >/=10% in 6 months) and low handgrip strength (HG; <20 [females] and <30 [males] kg). Results: Overall, 1084 cancer patients were included (Italians, N=454; Germans, N=630). Low CHI was independently associated with mortality in both Italian and German cohorts (Table). Low FFMI and low SPA did not predict survival in the German cohort. In patients with low CHI, worse nutritional and functional status were observed in both study populations. Performance of models addressing the study endpoints showed substantial consistency with both cohorts, particularly of those including low CHI. Conclusions: We validated a new prognostic body composition parameter, which is easier to interpret than standard nutritional parameters and may be useful for identifying cancer patients at nutritional risk, requiring early nutritional support. [Table: see text]


2020 ◽  
Vol 5 (5) ◽  
pp. 313-318
Author(s):  
N. Vdovenko ◽  
◽  
E. Maydaniuk ◽  
M. Imas ◽  
S. Sharafytdinova ◽  
...  

The compositional content of the body of athletes is one of the factors that can affect the effectiveness of sports activity, being an important component of the training process of football players. In turn, the composition of the body depends on the orientation, intensity and volume of training loads. Physical activity and exercise are known to lead to a decrease in body fat and an increase in lean body mass. The purpose of the study was to determine the significance of body composition for functional readiness of football players. Material and methods. The research involved 81 football players (Ukrainian Premier League), aged 20-30 years. During the research, the following methods were used: chronometry, ergometry, spirometry, gas analysis, heart rate monitoring, anthropometry and impedance measurement, biochemical research methods, and mathematical statistics methods. Results and discussion. As a result of the study, we established the influence of the body composition, in particular the percentage of body fat, on the level of functional readiness of football players. The probable correlations between the values of the level of functional readiness and indicators of the composition of the body were revealed. We found probable correlation between lean body mass and absolute power (r = 0.90; p ≤ 0.05), lean mass and VO2max (r = 0.44; p ≤ 0.05). A probable correlation between the percentage of fat and specific power (r = - 0.45; p ≤ 0.05), the percentage of fat and speed (r = - 0.50; p ≤ .05) was also revealed. An increase in body fat mass can negatively affect the specific power, speed and aerobic capabilities of athletes; it manifests itself in a decrease in the VO2max, speed and power of football players with an increase in body weight due to the fat component. Conclusion. The highest values of maximum power and VO2max were achieved by football players with adipose tissue content in the range from 9.0 to 16.0%. An increase in the level of functional readiness of football players is possible by optimizing the compositional composition of the body of athletes, namely, the percentage of body fat


Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Pablo Galan-Lopez ◽  
Antonio J. Sanchez-Oliver ◽  
Maret Pihu ◽  
Thórdís Gísladóttír ◽  
Raúl Domínguez ◽  
...  

Obesity, low levels of physical fitness, and unhealthy eating patterns are responsible for part of the health problems of adolescents today. The current study aimed at examining the association between the adherence to the Mediterranean diet (MD), through each answer to the items of the Adherence to the MD Questionnaire (KIDMED), and physical fitness with body composition parameters (body mass index (BMI), percentage of body fat, and waist circumference) in 1717 European adolescents (N = 900 boys, N = 817 girls). Data of body composition, physical fitness results, and the answers to KIDMED were analyzed by the Student’s t-test. Additionally, the effect size (ES) was calculated and a Chi-square test analyzed the proportion of participants with and without over waist circumference, overfat, and overweight in each KIDMED question. The relative risk of suffering over waist circumference, overfat and overweight in relation to the responses was calculated by Odd-Ratio. Adherence to the MD did not influence the condition of over waist circumference, overfat and overweight, although certain dietary habits were identified as risk factors for their development. Over waist circumference, overfat, and overweight boys and girls presented higher levels of body mass, waist circumference, body fat percentage, and BMI (p < 0.001; ES = 1.73–3.38), as well as lower levels of all the parameters of the physical fitness analyzed (p < 0.001; ES = 0.45–1.08), except the handgrip test. A direct relationship between fitness and over waist circumference, overfat, and overweight was found.


2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.


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