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Validity of predictive equations for determining resting energy expenditure
Fabián, Patrik ; Korvas, Pavel (referee) ; Chlíbková, Daniela (advisor)
This bachelor thesis deals with the validation of predictive equations to determine resting metabolic rate. The objective of this bachelor thesis was to compare individual predictive equations for determining resting metabolic rate with self-measurement using indirect caloriemetry and to establish a own procedure for predicting resting metabolic rate. The evaluation of each predictive equation was based on statistical analyses. Based on statistical analyses, it was found that the available predictive equations underestimate resting metabolism by an average of 20 % of kilocalories per day compared to the value measured by indirect calorimetry. Machine learning was used to determine the actual procedure for predicting resting metabolic rate, which was then presented using the user interface. The following testing showed that the neural network for predicting resting metabolic rate provides more accurate results compared to the available predictive equations.
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Thermal comfort and its estimation
Žáková, Monika ; Vondra, Vlastimil (referee) ; Nováková, Zuzana (advisor)
This paper summarizes the problems of human thermoregulation and its measurement, with a focus on the method of indirect calorimetry in resting conditions at different ambient temperatures and during physical activity. It also introduces the issue of human thermal comfort and the methodology of its monitoring using thermal manikin. It describes PowerCube Ergo (Ganshorn, Germany) and Cardiovit AT-104 (Schiller, Switzerland), the diagnostic devices used to spiro-ergometry measurements. It introduces the options to export data. The work proposes the protocol for measuring the thermoregulation of the small group of volunteers, which is realized by the practical part. According to the same protocol is monitored thermal comfort of the thermal manikin. In MATLAB is created the application, allowing clear analysis of measurement records. The data are evaluated and discussed.
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Evaluation of resting energy expenditure and body composition in obese patients
Jílková, Anna ; Matoulek, Martin (advisor) ; Zelinka, Tomáš (referee)
Introduction: The basis of obesity treatment is a conservative regimen based on a reduced diet and physical activity, individually set for each person. As the obese often show extreme deviations in body composition compared to individuals of normal weight, it is often difficult to determine their energy needs or determine their energy expenditure. The gold standard for determining resting energy expenditure (REE) is examination using indirect calorimetry (IC). This method can also detect deviations from the calculations of predictive equations, determine the degree of adaptation of the individual to low energy intake, and thus set the appropriate therapy. Objectives: The main objective of the work is the analysis and description of data on body composition and resting energy expenditure values of selected groups of obese individuals whose REE measurement results using indirect calorimetry reached a level below 95 % of the predicted REE calculated using the Harris Benedict (H-B) equation. The sub-goals are to describe the dependence of the size of some components of body composition on the size of the REE and to find out if the deviations between the number of the total measured REE and the REE calculated using H-B in the adapted group are significant. Methodology: For the research 71 patients of...
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Influence of body composition on metabolic profile in people with spinal cord injury
Křelinová, Iveta ; Vařeková, Jitka (advisor) ; Pavlová, Ilona (referee)
Title: Influence of body composition on metabolic profile in people with spinal cord injury The aim: The aim of this study was to validate the positive relationship between the amount of free fat mass (FFM) and resting metabolic rate (RMR) in subjects with spinal cord lesions. Furthermore, RMR values measured by indirect calorimetry were compared with those predicted by the Harris-Benedict (H-B) equation. Methods: This quantitative research is based on the collaboration between the 3rd Internal Clinic of the 1st Faculty of Medicine, the VFN, the Paraple Centre, o.p.s. and the Faculty of Physical Therapy, Charles University in Prague. The research population consisted of 25 people with spinal cord lesions, clients of the Paraple Centre, 14 men and 11 women. The respondents underwent body composition measurements using the InBody S10 tetrapolar bioimpedance device and resting energy expenditure measurements determined by indirect calorimetry using the Cortex MetaLyzer 3B. The measured RMR values were further compared with the corresponding values calculated using the H-B equation. Data were presented using descriptive statistics methods. Microsoft Excel 2010 and Statistica 12 were used to record and analyze the data and graphs and summary tables were also created. Results: Compared with women, men...
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Validity of commercially available smartwatches when estimating energy expenditure
Kopecký, David ; Pokorný, Jan (referee) ; Řehák Kopečková, Barbora (advisor)
Metabolic rate is an energy quantity. Its value is a key input not only in thermophysiological models, but also in the calculation of heat stress indices or complex models predicting a person's thermal sensation. With the dynamic development of technology, sporttesters are able to estimate energy expenditure, among other things. It is a non-invasive method of estimating energy expenditure, or metabolic rate, using associated body functions to predict it. This work deals with the validity of the accuracy of metabolic rate estimation using the Garmin Fenix 6X Pro sporttester in comparison with indirect calorimetry. The accuracy of the metabolic rate estimation was tested for the activities of lying down, administrative work and cycling with regulated mechanical resistance of 100 and 150 W. 15 male subjects aged 28 ± 5 years, with a weight of 83.2 ± 13.5 kg and a height of 180 ± 7 cm participated in the study. In terms of the results, it is possible to observe a lower accuracy of prediction of metabolic rate for low-intensity activities, with the resulting MAPE being around 19-43 %. On the other hand, for activities with moderate activity, the prediction of the metabolic rate by the used sporttester proved to be sufficiently accurate, with a resulting MAPE in the range of 6–8 %.
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Energy consumption of manual wheat grinding
Mařík, Vojtěch ; Hora, Martin (advisor) ; Sládek, Vladimír (referee)
In this thesis, the energy consumption during manual wheat grinding was investigated using two historically widespread and important technologies for grain grinding, namely the saddle quern and the rotary quern. This energy consumption was also compared to some anthropometric parameters of the grinding human. The method of indirect calorimetry using Cosmed K5 was used to measure energy expenditure. Bioimpedance scale InBody270 and basic anthropometric tools such as anthropometer and pelvimeter were used to determine selected body parameters.. The energy expenditure of grinding by the rotary quern was also measured by different movement patterns, namely unimanual clockwise and counter-clockwise rotation and bimanual counter-clockwise rotation. Energy expenditure was sampled on 30 women. It was found that although grinding on a saddle quern is an energetically less demanding activity compared to grinding on a rotary quern, significantly more energy is required to grind the same amount of cereal grains (297 kcal/kg grain vs. 109 kcal/kg grain). Clockwise milling was found to be the most energy-efficient variant of milling, while counter-clockwise milling was more energy demanding (clockwise milling 5.48 1.13 kcal/min vs. counter-clockwise milling 6.21 0.87 kcal/min). Anthropometric parameters...
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Determinating basal metabolic rate by indirect calorimetry method
POSTL, Roman
The topic of the bachelor thesis is "Determination of resting energy expenditure by indirect calorimetry". The method of indirect calorimetry is considered the gold standard for determining resting energy expenditure, which can further serve as a basis for setting optimal energy intake for the design of therapeutic diets, and is often compared with predictive equations, with which the determination of resting energy expenditure is simpler and less time-consuming. Data collection was performed by quantitative methods by measuring on indirect calorimetry, assessing dietary records and completed questionnaires, and obtaining anthropometric data. The research population consisted of 10 respondents approached through mass email correspondence or in person. The main aim of the study is to compare the results of the indirect calorimetry method with the recalculated results of the Harris-Benedict predictive equation on resting energy expenditure values. A sub-objective is to map the differences in measurement results based on the diet composition of the respondents. Together with this objective, the dissimilarity of energy intake versus calculated energy requirement is mapped, and lastly, the dissimilarity of measurement results due to respondents' body composition is mapped. As a result of the research, the deviation of +-10% between the measured and calculated values of resting energy expenditure is confirmed, which is also reported by authors of publications on a similar topic. Furthermore, the research shows a deviation of 18.34% between the recorded energy intake and energy requirement with a tendency to underestimate dietary intake. The study also shows relationships between the measurement results and the percentage of diet and body composition of the respondents. The relationships are based on linear trend lines, which indicate, first - an increase in measured values with a higher proportion of protein and carbohydrate in the diet and a higher proportion of lean body mass, and second - a decrease in measured values with a higher proportion of fat in the diet and a higher proportion of adipose tissue in the body.
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Comparison of methods of basal metabolism determination
Kosková, Martina ; Coufalová, Klára (advisor) ; Hráský, Pavel (referee)
Title: Comparison of individual methods of basal metabolism determination Objectives: The aim of the work is to compare the individual methods of basal metabolism. These values were measured by indirect calorimetry, plethysmography, bioelectric impedance and predictive equations. Methods: The research was attended by 31 people, including eight men and twenty-three women. All participants of my research were aged 21-30 years. None of the participants was a professional athlete, they were all healthy and none of the women were pregnant or had menstruation. The indirect calorimetry, bioelectronics impedance device Tanita MC - 980 and BOD POD were used to collect the data. Basal metabolic rates were calculated from the prediction equations by Harris & Benedict, Fleisch's equation and Schofield's equation using measured anthropometric values. Results: The results of the methods that have been used for this group of people vary, but the difference is not significant. If we choose as a reference method indirect calorimetry, we can't replace it by any other method. The results for other methods are not significantly different, so we can replace one method with another, except indirect calorimetry. From calculations, we also found out that fat free mass greatly influences the results of basal metabolic rate...
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Energy expenditure in Zumba
Řehořková, Michaela ; Baláš, Jiří (advisor) ; Bunc, Václav (referee)
The main objective of this study was to assess the energy demand of Zumba. The energy demand was determined by the indirect calorimetry. Four middle-ages women experienced in zumba participated in the study. A walking test untill the individual maximal exhaustion was performed on a treadmill to determine the relationship between heart rate, pulmonary ventilation and oxygen consumption. The energy expenditure of zumba was undertaken during 3 lessons, which took place at intervals of 3-5 days. We found an average oxygen consumption of 25,73 ± 0,95 ml.min-1 .kg-1 , which corresponded to the energy expenditure of 0,55 ± 0,03 kJ.min-1 .kg-1 . Therefore, we consider Zumba as the activity with high energy demand.
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