Efremovska, LJudmila
Preferred name
Efremovska, LJudmila
Official Name
Efremovska, LJudmila
Main Affiliation
Email
ljudmila.efremovska@medf.ukim.edu.mk
6 results
Now showing 1 - 6 of 6
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, COMPARISONS AND CORRELATIONS OF THE ELECTROCARDIOGRAPHY CHANGES REGARDING THE FUNCTIONAL FEATURES BEFORE, DURING AND IMMEDIATELY AFTER THE TREADMILL TEST WITH ATHLETES(Faculty of Physical Education, Sport and Health in Skopje, 2019); ; ; ; The need for cardiovascular screening in order to timely detect and diagnose the morphological and functional changes of the heart, which occur as a result of doing sport actively, and thus to avoid the occurrence of sudden cardiac death, is generally accepted. To achieve the objectives of the study, two noninvasive diagnostic methods for cardiovascular evaluation were used: electrocardiography (ECG) and the Bruce protocol test. The purpose of this study was to determine and examine the relationship of ECG changes to functional characteristics before, during, and/or immediately after exercise testing. This crosssectional study conducted during 2016/2017 involved 285 athletes aged 9 to 38, of both sexes. They were all given a 12-channel electrocardiogram (ECG) at rest, after which personal, family and sports history and anamnesis were given, followed by a Bruce protocol test and functional parameters were examined (symptoms, metabolic equivalents, METs, test duration, exercise capacity-VO2 max, rhythm disturbance, heart rate, heart rate reserve and recovery, chronotropic incompetence (CI), systolic and diastolic blood pressure). According to ECG changes and in accordance with international recommendations for its interpretation, athletes were divided into 4 groups: with normal, physiological, borderline or abnormal ECG findings. The results showed a significant positive connection between abnormal ECG and the occurrence of rhythm disturbance during the exercise test (r = 0.119; p = 0.045); Cardiovascular capacity expressed in (METs) compared to respondents with normal ECG was significantly higher in those with physiological ECG changes (p = 0.003), HR reserve percentage was lowest among athletes with abnormal ECG, and CI had the highest percentage. It can be concluded that an athlete with borderline, abnormal, and possibly physiologically assessed ECG should undergo further evaluation. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, THE SIGNIFICANCE OF THE ELECTROCARDIOGRAPHIC SCREENING USED IN PREVENTION AND DETECTION OF PATHOLOGICAL CHANGES IN HEARTS OF ATHLETES(Faculty of Physical Education, Sport and Health, Skopje, Republic of Macedonia, 2022); ; ; ; Abstract Changes in the structure and function of the heart that occur as a result of engaging in professional amateur training can be detected in a timely manner by using 12-channel electrocardiography (ECG) as one of the non-invasive methods used for cardiovascular screening in athletes.. The aim of the study is to promptly detect and diagnose cardiovascular conditions that can cause sudden cardiac death in athletes. In this prospective cross-sectional study conducted during 2016/2017, 285 examinees-athletes aged 9-38 years of both sexes were included (62,1% men and 37,9% women). An ECG was performed on all of them and a personal, sports and family history was taken. According to the ECG changes and in accordance with international recommendations for its interpretation, the examinees were divided into 4 groups. The results showed that physiological changes in the ECG were found in 51,9% of examinees, borderline changes in the ECG in 21,4%, while abnormal in 7,7%. Due to the possibility of timely identification and detection of heart changes due to physical activity or congenital, and could cause sudden cardiac death, the use of 12-channel electrocardiography is necessary in the evaluation of athletes. Key words: electrocardiography, sudden cardiac death, screening for cardiovascular disease, athletes - 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correlation of electrographic changes with sport activity characteristics and certain anthropometric characteristics in athletes.(Faculty of Medicine, University, Ss. Cyril and Methodius in Skopje, 2019); ; ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, NEW DXA DIAGNOSTIC INDEXES OF ABDOMINAL OBESITY(Macedonian Academy of sciences and Arts, 2021-02); ; ; ; Aim: Cushing’s syndrome (CS) is associated with weight gain and extreme central, visceral, abdominal obesity which is confirmed with dual-energy X-rays absorptiometric (DXA) diagnostic cut-off point (CP) values of central obesity indexes (COI), determined as an android to gynoid tissue and fat mass ratios. These best differentiate CS from non-CS obese women matched with CS according to their age and BMI. The aim of this study was to determine the CP values of new DXA indexes of central, abdominal obesity as a ratio of android and trunk to legs as well as trunk and legs to total tissue and fat mass that best differentiate CS and matched non-CS obese women in order to confirm central abdominal obesity, and to determine their normal CP values that best differentiate healthy non-obese women from CS and non-CS obese women, and to exclude abdominal obesity completely. Material and Methods: DXA indexes of abdominal obesity, calculated as а ratio of regional body fat and tissue mass compartments android to legs (A/L), trunk to legs (Tr/L), trunk to total (Tr/To) and legs to total (L/To) values were determined among 4 groups. Each group consisted of 18 women: 1st group of CS, 2nd group of obese women (O1) not different according to their age and BMI from CS, 3rd group of obese women (O2) with higher BMI of 35 ± 1.2 kg and a 4th group of non-obese, healthy women (C) with a normal BMI. Diagnostic accuracy (DG) of CP values of DXA indexes of abdominal obesity and indexes of normal body fat distribution (BFD) were determined. Results: A/L, Tr/L, Tr/To, and L/To DXA indexes were significantly different between CS and O1 as well as between non-CS women O2 compared to O1 and C. These indexes had a highly significant correlation among each other and also in relation to their BMI (p < 0.0001). A/L-Tm CP value of 0.3 best differentiated the CS from group O1, with the highest DG of 100 % and an A/L-Fm CP value of 0.26 differentiated them with a DG of 94.44% and sensitivity of 100 %. An A/L-Tn CP value of 0.23 and an A/L-Fn CP value of 0.25 best differentiated CS and C as well as O2 and C for the highest DG of 100 %. Conclusions: DXA indexes A/L, Tr/L, Tr/To and L/To values were significantly different among the four groups. These values correlated significantly among them and with their BMI in non-CS groups, thus confirming a BMI increase association with a more pronounced abdominal BFD. An A/L-Tm CP value of 0.3 and an A/L-Fm CP value of 0.26 were discovered as the best DXA diagnostic indexes of extreme abdominal obesity in CS and these could also be used in discovering abdominal BFD in non-CS obese women with metabolic syndrome (MS). An A/L-Tn CP value of 0.23 and an A/L-Fn CP value of 0.25 were discovered as the best DXA diagnostic indexes of normal BFD which completely excluded abdominal obesity. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ANALYSIS OF SEGMENTAL BODY COMPOSITION WITH BIOELECTRICAL IMPEDANCE IN ATHLETES AGED FROM 15 TO 18 YEARS(Anthropological Society of Serbia / Antropolos ko drus tvo Srbije, 2025); ; ; Introduction. In North Macedonia (NM), there are no published data on segmental body composition in young athletes. The aim of this study was to analyze the segmental body composition in young athletes depending on age. Materials and Methods. The sample comprised 140 male athletes from school leagues in NM, divided in 4 age categories between the ages of 15 and 18. Segmental body composition was analyzed with bioelectrical impedance on InBody 720 analyzer. Segmental fat and skeletal muscle mass in kg (FM and SMM) and percents (%FM and %SMM), were performed on: right arm (RA), left arm (LA), trunk (TR), right leg (RL) and left leg (LL). Results. Significant differences on the trunk were shown for FM (F = 3.644183, p 0.05) and % FM (F = 2.83637, p 0.05) and those variables were higher in 15 years old athletes (3.29 0.86 kg and 74.37 32.12 %), compared to 18 years old athletes (4.59 1.31 kg and 100.83 42.76 %, respectively). Conclusion. In young athletes from NM the age differences in segmental fat mass are better expressed, especially on the trunk, compared to muscle mass.