Faculty of Medicine
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Item type:Publication, COMPARISON OF MAXIMAL OXYGEN CONSUMPTION, RESTING METABOLIC RATE AND BODY COMPOSITION ANALYSIS BETWEEN AEROBIC AND ANAEROBIC SPORTS(Faculty of Physical Education, Sport and Health in Skopje, Republic of Macedonia, 2024); ; ; ; Bogdanovska, KThe aim of this study is to compare the values of maximal oxygen consumption (VO2 max), resting metabolic rate (RMR) and body composition between aerobic and anaerobic sports. 90 male subjects (25,34 ±5,6 age; 179,78±6.9 height/cm; 78,66±6,9 weight/kg; 24,34±2,75 BMI; 13,1±5,53 percentage body fat-PBF and 49,7±3,2 % skeletal muscle mass-% SMM) were tested for this study. The subjects were divided in 2 groups, I group- aerobic sports (endurance) (n=63), II group- anaerobic (strength) sports (n=26). Height was measured with stadiometer - СЕКА, body composition with bioelectrical impedance analysis - InBody 720, (Great Britain), RMR with indirect calorimetry- Fit Mate, COSMED, (Italy) and VO2 max with ergometric test Bruce on treadmill (ergo _run medical_α 24). Results showed that anaerobic sports have significantly higher values for weight, BMI and PBF compared to aerobic, while aerobic sports have significantly higher values for % SMM and VO2 max (p<0,05) and higher values for RMR compared to anaerobic sports. SMM has an impact on RMR in athletes. To keep high SMM, endurance athletes need to have higher caloric intake. To achieve higher VO2 max values and better performance athletes tend to have combined submaximal and maximal training sessions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, COMPARISON OF MAXIMAL OXYGEN CONSUMPTION, RESTING METABOLIC RATE AND BODY COMPOSITION ANALYSIS BETWEEN AEROBIC AND ANAEROBIC SPORTS(ANTHROPOLOGICAL SOCIETY OF SERBIA, 2023-09-27); ; ; The aim of this study is to compare the values of maximal oxygen consumption (VO2 max), resting metabolic rate (RMR) and body composition analysis between aerobic and anaerobic sports. 90 male athletes (25,34 ±5,6 age; 179,78±6.9 height/cm; 78,66±6,9 weight/kg and 24,34±2,75 BMI/ kg/m2) were tested for this study. The athletes were divided in 2 groups, I group- aerobic sports (endurance) (n=63), II group- anaerobic sports (strength) (n=26). Height was measured with stadiometer - СЕКА, body composition by means of bioelectrical impedance analysis - InBody 720, (Great Britain), RMR with indirect calorimetry- Fit Mate, COSMED, (Italy) and VO2 max with ergometric test Bruce on treadmill (ergo _run medical_α 24). Results showed that anaerobic athletes have significantly higher values of weight (83 ± 12kg) , BMI (26 ± 3 kg/m2) and body fat percentage-PBF (15 ± 8%), compared to aerobic athletes: weight (76 ±7 kg), BMI (23±1,5 kg/m2) and PBF (12 ±3 %). Aerobic athletes have significantly higher values skeletal muscle mass percentage -SMM (50 ±2%) and VO2 max (50,1 ± 4 ml/kg/min) (p<0,05) and higher values of RMR (2265 ±276 kcal/day) compared to anaerobic athletes: % SMM (48 ± 4%), VO2 max (45,9± 5 ml/kg/min) and RMR (2258 ± 314 kcal/day).Kako bi postigli više vrednosti VO2 max i bolju performasnu sportisti kombinuju submaksimalne i maksimalne trenažne sesije. To keep high SMM, endurance athletes need to have higher calorie intake. To achieve higher VO2 max values and better performance athletes tend to have combined submaximal and maximal training sessions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BODY COMPOSITION AND RESPIRATORY PARAMETER ANALYSIS AT FOOTBALL PLAYERS(ANTHROPOLOGICAL SOCIETY OF SERBIA, 2023-09-27); ; ; ; Pulmonary function tests (PFTs) are commonly used for evaluating respiratory status and managing persons with known pulmonary disease. They have become part of routine health examinations in respiratory, occupational, and sports medicine, and in public-health screening. The results of PFTs are interpreted in relation to normal range reference values, as recommended by the guidelines of the American Thoracic Society (ATS) and the European Community forCoal and Steel (ECCS). Spirometry is a gold standard pulmonary function test that measureshow an individual inhales or exhales volumes of air as a function of time. It is the mostimportant and most frequently performed pulmonary function testing procedure, having becomeindispensable for the prevention, diagnosis, and evaluation of various respiratory impairments. Anumber of 61 football players were divided into 2 groups according to their age, 13 (13.85 ± 3.26) and27 years (23.82 ± 3.32). This study was organized by the Institute of Medical, Experimentaland Applied Physiology and Anthropology, Medical faculty – UKIM, Skopje. The spirometry method was performed with the Spirobank II spirometer (Rome, Italy), for the followingparameters: forced vital capacity (FVC), forced expiratory volume in the first second (FEV1),and the ratio FEV1/FVC ratio.Body composition analyzer InBody 720, Great Britain, was usedto determine body weight (kg), body height (cm), body mass index - BMI weight (kg / m 2 ),skeletal muscle mass SMM (kg) and the amount of proteins (kg) and minerals (kg). We did notfind any statistically significant differences for forced vital capacity (FVC), forced expiratoryvolume in the first second (FEV1), and the ratio FEV1/FVC ratio. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BODY COMPOSITION RELATED TO BODY MASS INDEX AMONG YOUNG ELITE FOOTBALL PLAYERS(Medical faculty, Ss Cyril and Methodius University in Skopje, 2017); ; ; ; Abstract Introduction. Body composition is extremely important for athletes’ performance, thus assessment tools may be used to clarify their sports condition. The aim of the study was to investigate body composition measurements and maximal oxygen consumption related to body mass index (BMI) in young elite football players. Material and methods. A total of 29 young football players were divided into 3 groups related to the value of BMI: I group (n=8); II group (n=13); and III group (n=8). The subjects were submitted to the sub-maximal pulse approach on treadmill method (SchillerAg, MTM-1500 Bear, Switzerland) to measure VO 2max (ml/kg/min). A body composition analyzer (InBody720, Biospace Co, Seoul, Korea) was used to determine the body fat - BF (%), skeletal muscle - SM (%) and total body water – TW(L) including intracellular body water – ICW(L) and extracellular body water – ECW(L). For the statistical analysis, a t-test was performed upon which the significance for p<0.05 was considered. Results. The football players showed the highest VO 2 max value in the II group (p<0.05). BF showed increased value in the III group (p<0.02). SM did not show any significant difference between the groups. Body water composition showed no statistical significance. Conclusion. Due to our results, we may conclude that certain parameters may determine the condition of young athletes in order to select appropriate training procedures, proper diet, and personalized performance. Key words: football; body mass index; body composition. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Age increase and weight reduction effects on bone mineral density and content(2019); Dual energy x-ray absorptiometry (DXA) scan is considered to be the gold standard for diagnosing and monitoring bone loss and evaluating the degree of osteoporosis. The DXA scan calculates bone density based on the amount of radiation absorbed by the bone, and compares patient’s bone strength and bone density to that of young adults with normal bone density and to other persons of the same age. DXA evaluates total body bone mineral density (BMD) expressed in grams (gr) and bone mineral content (BMC) expressed in gr/cm2 , as well as regional BMD and BMC values for the arms, legs, hips, head and trunk (which includes ribs, pelvis, thoracic spine, and lumbar spine). BMD is typically expressed in T-scores. Normal BMD T-score is greater than -1, and in osteoporosis BMD is characterized with T-score below -2.5. This study evaluated lumbar spine and hip bone lost for a period of 12 years, where in the last three years there was a reduction of the total body mass for mean 14 kg and evaluation was performed on total and regional BMC and BMD values. Mean value L1-L4 vertebra BMD 1.13±0.06 kg/m2 reduced to 1.05±0.04 kg/m2 (p<0.001) and mean value L1-L4 vertebra BMC 55.12±5.89 gr reduced to 54.25±6.2 gr (p<0.001) for 12 years period. Last 3 years change of spine BMD was associated with reduction of the mean L4 lumbal vertebra T-score from -0.7 to -1.7 indicating developed osteopenia on this vertebra. Also the highest reduction of BMC of mean 22.08% was detected on L4. Neck mean BMD basal value was 0.88±0.08 kg/m2 and reduced significantly for 12 years to 0.74±0.07 kg/m2 (p<0.001). Trochanter mean BMD basal value was 0.71±0.08 kg/m2 and reduced significantly in 12 years to 0.64±0.03 kg/m2 (p<0.02). Total hip mean BMD basal value was 0.89±0.08 kg/m2 and reduced to 0.74±0.09 kg/m2 (p<0.001). Total hip mean BMC 25.34±4.62 gr reduced to 22.16±2.92 gr (p<0.46). Total hip mean BMD lowered for mean value of 13.71%, BMC lowered for 13.61% and % of BMD reduction was 13.48%. The last three years regional BMD values were with T-score in normal range and reduced to osteopenic levels with significance of p<0.014 for arms BMD change, p<0.01 for trunk, p<0.033 for pelvis, p<0.027 for ribs, and p<0.05 for total BMD change. Legs BMD values stayed in normal range. It can be concluded that age, as well as the weight reduction influenced negatively on hip, spine and regional BMD and lowered it significantly from the normal values to osteopenic values, indicating the need of bone BMC and BMD reduction prevention. Bone densitometry is a very safe, painless and quick test that can measure bone strength and predict fracture risk before the patient develops osteoporosis and hence effective preventive therapy can be started. Bone density tests are also used to monitor the response to particular medications. Our experiences in body composition and osteoporosis DXA assessment were evaluated in this study - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BIOELECTRICAL IMPEDANCE ANALYSIS IN KARATE ATHLETES: BIA PARAMETERS OBTAINED WITH INBODY720 REGARDING THE AGE(Faculty of Physical Education, Sport and Health in Skopje, 2016); ; ; ; The basic purpose of this paper is to make recognizable analysis of body composition with bioelectrical impedance analyzer, (especially with InBody 720) to the sports scientific public. To fulfill this assignment we would like to present numerous parameters of body composition obtained with InBody 720, in subjects younger than 18 years and older than 18 years, because of fact that this BIA device gives different final result sheets regarding the age limit of 18 years. We investigated 21 karate athletes, members of karate national team of Republic Macedonia, age span from 15 to 22 years. They were divided in two age different groups, up to 18 (U18) and over 18 years old (18+). The final result sheets for person younger than 18 years consists considerably less parameters than for subjects older than 18 years. Comparison of parameters common for both groups showed that U18 karate athletes had significantly lower mean values for following parameters: height (176.8 4.26cm vs. 179.8 5.35cm), body weight (69.05 7.4 kg vs. 77.43 8.71 kg), skeletal muscle mass (35.38 4.43 kg vs. 38.34 2.97 kg) and body mass index, BMI (21.8 1.31 kg/m2 vs. 23.97 2.26 kg/m2) than 18+ karate athletes. Younger athletes also had significantly lower parameters of obesity diagnose: body fat mass (6.73 1.98 kg vs 10.31 5.02 kg) and body fat percent (9.8 2.65% vs. 12.91 5.14%). The data from this paper could allow the health professionals, sport scientists, sport expert and athletes to get useful information about plenty of parameters of body mass analysis obtained with bioelectrical impedance analyzer. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BIOELECTRICAL IMPEDANCE ANALYSIS OF BODY COMPOSITION IN KARATE ATHLETES REGARDING THE PREPARATORY PERIOD(Paneuropean University, APEIRON, Banja Luka, BiH, 2016-12); ; ; ; Zarko KostovskiThe aim of the paper was to asses changes in body composition using bioelectrical impedance analysis (BIA) methodology in members of national karate team after teen week preparatory training period. The investigation was carried out on 11 male karate contestants, aged 18 to 28 years mean age (21.82 3.58). The body composition was analyzed with In Body 720. The BIA outcomes were divided in 3 group of variables: body fl uid and body composition variables, obesity diagnose variables and segmental analysis variables. All BIA variables were insignifi cantly higher at second measuring (p>005). Only Body mass index (BMI=24.1 vs 24.55); mineral (4.69 kg vs 4.77 kg) and osseous (3.85 kg vs 3.92 kg), were signifi - cantly higher (p≤0.05) after preparatory period. Body fat mass (BFM=10.34 kg vs 10.75 kg, p=0.329) and body fat percent (BF%= 12.73 vs13.22%) insignifi - cantly increased after preparatory period. The skeletal mass has changed from 40.03kg to 40.55kg (p=0.276). Body composition analysis, changes in weight, BMI and body fl uids are essential for weight categories dependent sports such as karate. Positive changes in body components and in body fl uids suggest that the training process during the preparatory period did not show negative effects on body components and the hydration of the karate athletes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, CORRELATIONS BETWEEN RED BLOOD CELLS’ VARIABLES, CARDIO-PHYSIOLOGICAL AND ANTHROPOLOGICAL VARIABLES IN YOUNG ATHLETES(Macedonian Academy of Sciences and Arts / Sciendo, 2020-06); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Red blood cell variables, their inter-correlations and correlations with body mass components in boys aged 10-17 years(Turkish National Pediatric Society, 2020-01); ; ; Daniela Shukova StojmanovskaObjective of this study was to analyze the hematological parameters, their inter-correlation and their correlation with body composition components in young male adolescent subjects.One hundred and ninety (190) physically active male subjects, aged 10 to 17 years, mean age 13.37 4.5 years, were included in the study. Capillary blood was taken from all subjects and the following hematological parameters were measured: red blood cell count (RBC); hematocrit (Ht); hemoglobin mass (Hb) and hematological indices (MCV,MCH, MCHC).The body components derived from Matiegka anthropometric method were assessed: muscular mass (MM%), bone mass (BM%), body fat mass (BF%). The mean values (SD) for hematological parameters were RBC= 5.070.41 x 1012/l,Hb=14.241.24 g/dl, Hct=43.833.8%. Anthropometric characteristics were as follows: BMI was 20.26 3.27 kg /m2, relative muscular mass (MM%) was 53.18 3.19 %, bone mass (BM%) was 18.83 2.4% and body fat percent (BF%) was 15.19 2.64 %. Correlation’s analysis between hematological parameters and body composition showed moderate to strong correlation between RBC, Hb and Hctand all body components. The strongest correlations were found between Hb and Hct and the muscular mass (r= 0.60; r= 0.61) and the lean body mass (r= 0.59).The hematological parameters are positively associated with all body mass components, while the strongest correlations were found between hemoglobin levels and hematocrit and skeletal muscle mass and lean body mass. The knowing and understanding of the relationship between RBC variables and body composition parameters could be important in healthcare planning for children.