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Roczniki Panstwowego Zakladu Higieny 2019The somatic features of the athletes’ bodies partially determine their sporting level and are conditioned to a large extent by the state of nutrition.
BACKGROUND
The somatic features of the athletes’ bodies partially determine their sporting level and are conditioned to a large extent by the state of nutrition.
OBJECTIVE
The aim of this paper is to present nutritional status and its correlation with the somatic determinants of training athletes and physical education students.
MATERIAL AND METHODS
This study involved 12 weightlifting players (subgroup-WL), 15 soccer players (subgroup-SP), 12 table tennis players (subgroup-TT) and 12 female students of physical education (subgroup-C). In all subjects, the age and somatic variables were recorded and the daily intake of energy, water, proteins, fats and carbohydrates was determined by 24-h dietary recalls.
RESULTS
Although the analysis of variance did not show significant differences in somatic variables and nutrition data, post hoc analysis showed significant differences between some subgroups in terms of age, BMI, fat content (BF), fat-free mass (FFM) and the amount of water, protein and carbohydrates consumed during the day. It was also shown that somatic variables correlated with relatively expressed amounts of energy, proteins and carbohydrates consumed in individual subgroups, as well as in the whole group formed from all subgroups of studied women. In addition, there were significant correlations between somatic variables and the total amount of water consumed in the whole group and the total amount of protein consumed in subgroup C (p<0.05), as well as the total amount of fat consumed in subgroup WL.
CONCLUSIONS
In summary, it was found that the examined women used an abnormal hypoenergetic diet with too low carbohydrate content in which were more useful relative than absolute amounts of consumed proteins, fats and carbohydrates. In this unfavorable situation, dietary education of the respondents seems to be necessary.
Topics: Adult; Athletes; Body Composition; Body Mass Index; Female; Humans; Nutritional Status; Poland; Sports; Young Adult
PubMed: 31515983
DOI: 10.32394/rpzh.2019.0074 -
Nutrients Dec 2018With over two-thirds (71.6%) of the US adult population either overweight or obese, many strategies have been suggested for weight loss. While many are successful, the... (Review)
Review
With over two-thirds (71.6%) of the US adult population either overweight or obese, many strategies have been suggested for weight loss. While many are successful, the weight loss is often accompanied by a loss in lean body mass. This loss in lean body mass has multiple negative health implications. Therefore, weight loss strategies that protect lean body mass are of value. It is challenging to consume a significant caloric deficit while maintaining lean body mass regardless of macronutrient distribution. Therefore, the efficacy of various dietary supplements on body weight and body composition have been a topic of research interest. Chromium picolinate has been shown to improve body composition by maintaining lean body mass. In this paper we review some common weight loss strategies and dietary supplements with a focus on their impact on body composition and compare them to the effect of chromium picolinate.
Topics: Body Composition; Diet, Reducing; Humans; Iron Chelating Agents; Picolinic Acids; Weight Loss
PubMed: 30513859
DOI: 10.3390/nu10121876 -
The Indian Journal of Medical Research Nov 2018Body composition is known to be associated with several diseases, such as cardiovascular disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition... (Review)
Review
Body composition is known to be associated with several diseases, such as cardiovascular disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition measurements are useful in assessing the effectiveness of nutritional interventions and monitoring the changes associated with growth and disease conditions. Changes in body composition occur when there is a mismatch between nutrient intake and requirement. Altered body composition is observed in conditions such as wasting and stunting when the nutritional intake may be inadequate. Overnutrition on the other hand leads to obesity. Many techniques are available for body composition assessment, which range from simple indirect measures to more sophisticated direct volumetric measurements. Some of the methods that are used today include anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis. The methods vary in their precision and accuracy. Imaging techniques such as nuclear magnetic resonance imaging and computed tomography have become powerful tools due to their ability of visualizing and quantifying tissues, organs, or constituents such as muscle and adipose tissue. However, these methods are still considered to be research tools due to their cost and complexity of use. This review was aimed to describe the commonly used methods for body composition analysis and provide a brief introduction on the latest techniques available.
Topics: Anthropometry; Body Composition; Body Weights and Measures; Dimensional Measurement Accuracy; Humans; Obesity
PubMed: 30666990
DOI: 10.4103/ijmr.IJMR_1777_18 -
Journal of Investigative Medicine : the... Jun 2018This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method... (Review)
Review
This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.
Topics: Adipose Tissue; Adiposity; Body Composition; Body Mass Index; Humans; Magnetic Resonance Imaging
PubMed: 29581385
DOI: 10.1136/jim-2018-000722 -
Bone Nov 2017Body composition measurements from DXA have been available since DXA technology was developed 30years ago, but are historically underutilized. Recently, there have been...
Body composition measurements from DXA have been available since DXA technology was developed 30years ago, but are historically underutilized. Recently, there have been rapid developments in body composition assessment including the analysis and publication of representative data for the US, official usage guidance from the International Society for Clinical Densitometry, and development of regional body composition measures with clinical utility. DXA body composition is much more than whole body percent fat. In this paper celebrating 30years of DXA for body composition, we will review the principles of DXA soft tissue analysis, practical clinical and research applications, and what to look for in the future.
Topics: Absorptiometry, Photon; Bariatrics; Body Composition; Body Size; Humans; Osteoporosis
PubMed: 28625918
DOI: 10.1016/j.bone.2017.06.010 -
European Journal of Clinical Nutrition Sep 2018Activity-induced energy expenditure, as determined by the activity pattern including exercise, is the most variable component of daily energy expenditure. Here, the... (Review)
Review
Activity-induced energy expenditure, as determined by the activity pattern including exercise, is the most variable component of daily energy expenditure. Here, the focus is on effects of exercise training on energy balance and body composition in subjects with a sedentary or light-active lifestyle. Then, exercise training induces an energy imbalance consistently lower than prescribed energy expenditure from exercise. Additionally, individual responses are highly variable and decrease in time. Combining the results from 23 exercise training studies in normal-weight, overweight, and obese subjects, varying in duration from 2 to 64 weeks, showed an average initial energy imbalance of about 2 MJ/day with an exponential decline to nearly zero after about 1 year. A compensatory increase in energy intake is the most likely explanation for the lower than expected effect of exercise on energy balance. Overall, exercise training results in a healthier body composition as reflected by a reduction of body fat, especially in overweight and obese subjects, with little or no long-term effect on body weight.
Topics: Body Composition; Energy Metabolism; Exercise; Humans; Nutritional Physiological Phenomena
PubMed: 30185845
DOI: 10.1038/s41430-018-0180-4 -
Journal of Strength and Conditioning... Jul 2020Bernal-Orozco, MF, Posada-Falomir, M, Quiñónez-Gastélum, CM, Plascencia-Aguilera, LP, Arana-Nuño, JR, Badillo-Camacho, N, Márquez-Sandoval, F, Holway, FE, and...
Bernal-Orozco, MF, Posada-Falomir, M, Quiñónez-Gastélum, CM, Plascencia-Aguilera, LP, Arana-Nuño, JR, Badillo-Camacho, N, Márquez-Sandoval, F, Holway, FE, and Vizmanos-Lamotte, B. Anthropometric and body composition profile of young professional soccer players. J Strength Cond Res 34(7): 1911-1923, 2020-The purpose was to describe the anthropometric and body composition profile of young professional soccer players and to compare the players profiles between different competitive divisions and playing positions. A retrospective cross-sectional study was carried out with anthropometric data obtained from the records of soccer players of Club Deportivo Guadalajara, S.A. de C.V. (Mexico) in the under-17, under-20, second, third, and fourth division categories. Body mass, height, sitting-height, skinfolds, girths, and bone breadths were measured by certified anthropometrists from September 2011 to March 2015, following the procedures recommended by the International Society for the Advancement of Kinanthropometry. Body composition was determined using the 5-way fractionation method. Comparisons between playing positions in each division and between divisions were performed using analysis of variance, and Bonferroni's post-hoc analyses (SPSS version 22 for Windows, p < 0.05 considered as significant). Data from 755 subjects were analyzed. The mean age was 18.1 ± 1.7 years old (minimum 14.8, maximum 23.2). The under-20 division registered higher anthropometric and body composition values than all other competitive divisions. In addition, goalkeepers were taller, heavier, and obtained the highest values for adipose mass, whereas forwards presented higher percentages of muscle mass. These tables can be used during nutritional assessment and nutritional monitoring of players to establish body composition goals. In addition, the strength and conditioning practitioner may also use these data to design effective and specific training programs most suitable to the anthropometric and body composition profile of each player, taking into consideration his competitive division and playing position.
Topics: Adiposity; Adolescent; Body Composition; Body Mass Index; Body Weights and Measures; Cross-Sectional Studies; Humans; Male; Retrospective Studies; Soccer; Young Adult
PubMed: 32058363
DOI: 10.1519/JSC.0000000000003416 -
Nutrients Aug 2019Anthropometry (from the Greek : human, and : measure) refers to the systematic collection and correlation of measurements of human individuals, including the systematic...
Anthropometry (from the Greek : human, and : measure) refers to the systematic collection and correlation of measurements of human individuals, including the systematic measurement of the physical characteristics of the human body, primarily body weight, body size, and shape [...].
Topics: Adiposity; Anthropometry; Basal Metabolism; Body Composition; Body Mass Index; Humans; Predictive Value of Tests; Reproducibility of Results
PubMed: 31416130
DOI: 10.3390/nu11081891 -
Reviews in Endocrine & Metabolic... Jun 2023Bioelectrical impedance analysis (BIA) is the most widely used technique in body composition analysis. When we focus the use of phase sensitive BIA on its raw parameters... (Review)
Review
Bioelectrical impedance analysis (BIA) is the most widely used technique in body composition analysis. When we focus the use of phase sensitive BIA on its raw parameters Resistance (R), Reactance (Xc) and Phase Angle (PhA), we eliminate the bias of using predictive equations based on reference models. In particular PhA, have demonstrated their prognostic utility in multiple aspects of health and disease. In recent years, as a strong association between prognostic and diagnostic factors has been observed, scientific interest in the utility of PhA has increased. In the different fields of knowledge in biomedical research, there are different ways of assessing the impact of a scientific-technical aspect such as PhA. Single frequency with phase detection bioimpedance analysis (SF-BIA) using a 50 kHz single frequency device and tetrapolar wrist-ankle electrode placement is the most widely used bioimpedance approach for characterization of whole-body composition. However, the incorporation of vector representation of raw bioelectrical parameters and direct mathematical calculations without the need for regression equations for the analysis of body compartments has been one of the most important aspects for the development of research in this area. These results provide new evidence for the validity of phase-sensitive bioelectrical measurements as biomarkers of fluid and nutritional status. To enable the development of clinical research that provides consistent results, it is essential to establish appropriate standardization of PhA measurement techniques. Standardization of test protocols will facilitate the diagnosis and assessment of the risk associated with reduced PhA and the evaluation of changes in response to therapeutic interventions. In this paper, we describe and overview the value of PhA in biomedical research, technical and instrumental aspects of PhA research, analysis of Areas of clinical research (cancer patients, digestive and liver diseases, critical and surgical patients, Respiratory, infectious, and COVID-19, obesity and metabolic diseases, Heart and kidney failure, Malnutrition and sarcopenia), characterisation of the different research outcomes, Morphofunctional assessment in disease-related malnutrition and other metabolic disorders: validation of PhA with reference clinical practice techniques, strengths and limitations. Based on the detailed study of the measurement technique, some of the key issues to be considered in future PhA research. On the other hand, it is important to assess the clinical conditions and the phenotype of the patients, as well as to establish a disease-specific clinical profile. The appropriate selection of the most critical outcomes is another fundamental aspect of research.
Topics: Humans; COVID-19; Body Composition; Nutritional Status; Malnutrition; Biomarkers; Electric Impedance
PubMed: 37043140
DOI: 10.1007/s11154-023-09803-7 -
Nutricion Hospitalaria Feb 2015The energetic expense daily total of an individual (EEDT) represents the energy that the organism consumes. It is constituted by the sum of: metabolic basal rate (MBR),... (Review)
Review
UNLABELLED
The energetic expense daily total of an individual (EEDT) represents the energy that the organism consumes. It is constituted by the sum of: metabolic basal rate (MBR), termogenesis endogenous (TE) and energetic expense linked to the physical activity (EEPA). The determination of the EEDT considering the physical activity and the state of health of a person, it is very important to fit the calculation of the nutritional need for every individual. The MBR is the minimal quantity of energy that an organism needs to be alive. It constitutes a from 60 to 70 % of the EEPA in the majority of the sedentary adults, while, in the physically very active individuals it is of approximately 50 %. It changes depending on the corporal composition, specially on the corporal lean mass. The basal metabolism expressed as MRB, it is different from the metabolic rate in rest (MRR) or Resting energy expenditure (REE); the latter is obtained when the determination is done in rest and in the conditions described for the MRB but not in fasting, including therefore the energy used for the biological utilization of the food. Habitually, the REE decides by means of different technologies as the indirect calorimetry, the electrical bioimpedancy, the doubly marked water, the predictive equations, between others. These methods are used in the clinical practice and in scientific studies. Nevertheless, due to the inconsistency of the results of these researches, still there is no a consensus with regard to his applicability though the evidence indicates that the measurement of the consumption of oxygen, it is the method of major precision.
AIMS
This review has as aim expose the components of the energetic expense in rest, as well as the technologies for its determination and estimation, indicating its advantages, limitations and practical applications.
RESULTS
Part of the technologies of evaluation of the energetic expense described in this review, they remain relegated, for its complexity and cost to the area of the investigation. For a long time the indirect calorimetry, she remained also restricted to this field. Nevertheless, the technological advances have allowed the development of precise light and attainable equipments that allow that at present it should be a very useful method in the clinical space of the determination of the REE.
Topics: Basal Metabolism; Body Composition; Energy Metabolism; Exercise; Humans; Rest
PubMed: 25719792
DOI: 10.3305/nh.2015.31.sup3.8772