The Relationship Between Reactive Agility and Change of Direction Speed in Professional Female Basketball and Handball Players

Assessing the physical ability of players to perform change of direction and the cognitive and motor abilities revealed in reactive agility (RA) is necessary to understand the physical requirements and capabilities of professional players in handball and basketball. The main aim of this study was to determine the differences between professional female basketball and handball players in terms of anthropometric features, change of direction speed (CODS), and the RA task. Moreover, the relationships among anthropometric features, agility, and parameters of perception were determined. Two scenarios of the Five-Time Shuttle Run to Gates test (planned and unplanned) were used to evaluate the CODS and RA. The response time (RT) was also measured in the unplanned scenario. Additionally, the index of reactivity (REAC-INDEX) was specified as the difference between the RA test result and the measurement of CODS. There was a significant difference found in terms of body height, with basketball players being taller than handball players (p = 0.032). Professional female handball players achieved better results than professional female basketball players with regard to RA tasks (p = 0.01) and CODS (p = 0.041). Significant simple correlations between each anthropometric feature (body height, body mass) and values for CODS and RA were observed (r = 0.49–0.53). Applying partial correlation allowed for the assessment of actual relationships among CODS, RA, RT, and REAC-INDEX, without a confounding variable. Detaching the anthropometric parameters from the rest of the relationships resulted in maintenance or changes in r-values and an increased significance in the relationships between each pair: RA vs. RT, RA vs. REAC-INDEX, and RT vs. REAC-INDEX. The strongest associations were related to RT vs. REAC-INDEX (r = 0.97 at detaching body height or body mass, p < 0.001) and CODS vs. RA (r = 0.66 at detaching body height and r = −0.67 at detaching body mass, p < 0.001). It is recommended to use partial correlations in subsequent studies, as simple correlations are not reliable and may not reveal the apparent relationships between the variables. In addition, when determining the CODS and RA, it is suggested to take anthropometric and perception variables into account, such as reaction time or REAC-INDEX.

Prevalence and risk of spinal pain among physiotherapists in Poland

Background The purpose of this study was to determine the prevalence, symptoms of, and risk factors for spinal pain in physiotherapists, as well as to analyse the correlation between these factors and the nature of the work, anthropometric features of the respondents, and the level of their physical activity. Methods The study was conducted among 240 physiotherapists (71 male and 169 female) with a mean age of 38.7 years. They were divided into three groups: physical therapy (37), kinesitherapy (158) and massage (45). Physiotherapists were evaluated with a specially designed questionnaire, the postural discomfort chart, the Neck Disability Index (NDI) questionnaire, and the Oswestry Disability Index (ODI) questionnaire. Results The analysis showed a 91.7% incidence of spinal pain in physiotherapists (91.1% for kinesitherapy, 97.3% for physical therapy, and 88.9% for massage). The study revealed that 50.2% of physiotherapists indicated one to five pain episodes in their careers. Most respondents reported pain in the lumbosacral spine (82%) and the cervical spine (67%). Most respondents (58.5%) scored the pain as moderate (VAS scale). Carrying (62.6%) and torso bending (37.4%) were indicated as the causes of pain. Conclusions Physiotherapists demonstrate a high prevalence of spinal pain. Physical activity reduces the frequency of pain episodes.

AGE CHARACTERISTICS OF THE FUNCTIONAL STATE OF THE CHECHEN REPUBLIC POPULATION DEPENDING ON THE PLACE OF RESIDENCE

Научная статья посвящена изучению показателей антропометрии, дыхательной и сердечно-сосудистой системы у населения Чеченской Республики, проживающего в условиях равнинной и низкогорной местности и принадлежащего к разновозрастной категории. Проведенное исследование показывает, что уровень соматического здоровья изученного контингента с учетом степени развития основных антропометрических признаков в значительной степени определяется резервными возможностями всех систем органов и достоверно отличается у жителей равнины и низкогорья. Scientific article is devoted to the study of indicators of anthropometry, respiratory and cardiovascular systems in the population of the Chechen Republic living in conditions of lowland and low-mountain terrain and belonging to different age categories. The study shows that the level of somatic health of the studied contingent, taking into account the degree of development of the main anthropometric features, is largely determined by the reserve capabilities of all organ systems and significantly differs among the inhabitants of the plain and low mountains.

THEORY OF OBJECTIVE FORMATION IN DESIGN PRODUCTS SEWING VIROBIV

Theory of objective shaping in the design of garments. Modern methods of designing garments are considered. It is determined that the current areas are: particular features of modeling, which take into account the dynamics of dimensional features; methods of two- and three-dimensional design with an attempt to take into account anthropometric features and features of sewing materials. The disadvantages of the subjective approach according to the methods of approximate design are pointed out The new scientific direction of objective shaping in clothing design with the corresponding theory with criterion complex dependences which allow to carry out objective controllability of process of shaping and the forecast of qualitative indicators is proved. An example of shells with pre-deformed and bent section and their criterion dependence is given.

Blockchain-based Learning for Health Screening with Digital Anthropometry from Body Images

Anthropoid images encode reliable biometric information in abundance. Recent research on image-based screening drives this effort to investigate the feasibility of interpreting the inherent nutritional state from multidimensional human body images. However, anthropometric databases are becoming increasingly essential and grow in parallel to achieve efficient system designs. This paper presents a novel imaging-based strategy in an augmented environment to quantify the human anthropometric features with blockchain-based learning to generate a diagnosis report. It includes evaluating the attributes such as height, weight, forearm, wrist, waist, Mid-Upper Arm Circumference (MUAC), Knee, Feet, head length from an image using the Augmented Reality and Blockchain-based Transfer Learning for diagnostic accuracy. We developed a novel skeleton known as FETTLE to determine the role of body measures for assessing nutritional conditions and body weight from human body images. It forms an instantly applicable technique aimed at evaluating children’s growth patterns all through their initial ages. FETTLE app can also be operated on bedridden people as a screening mechanism to spot their risk of pressure ulcers and undernutrition, followed by a more structured examination. Our approach is superior in accuracy measures with consortium blockchain-based learning context with privacy-preserved medical data sharing and high-end user experience and interaction. Our framework is proved to gain about 97.26% validation accuracy on anthropoid images.

Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness

Background: The apnea/hypopnea index (AHI) is the primary outcome of a polysomnography assessment (PSG) for determining obstructive sleep apnea (OSA) severity. However, other OSA severity parameters (i.e., total arousal index, mean oxygen saturation (SpO2%), etc.) are crucial for a full diagnosis of OSA and deciding on a treatment option. PSG assessments and home sleep tests measure these parameters, but there is no screening tool to estimate or predict the OSA severity parameters other than the AHI. In this study, we investigated whether a combination of breathing sounds recorded during wakefulness and anthropometric features could be predictive of PSG parameters. Methods: Anthropometric information and five tracheal breathing sound cycles were recorded during wakefulness from 145 individuals referred to an overnight PSG study. The dataset was divided into training, validation, and blind testing datasets. Spectral and bispectral features of the sounds were evaluated to run correlation and classification analyses with the PSG parameters collected from the PSG sleep reports. Results: Many sound and anthropometric features had significant correlations (up to 0.56) with PSG parameters. Using combinations of sound and anthropometric features in a bilinear model for each PSG parameter resulted in correlation coefficients up to 0.84. Using the evaluated models for classification with a two-class random-forest classifier resulted in a blind testing classification accuracy up to 88.8% for predicting the key PSG parameters such as arousal index. Conclusions: These results add new value to the current OSA screening tools and provide a new promising possibility for predicting PSG parameters using only a few seconds of breathing sounds recorded during wakefulness without conducting an overnight PSG study.

Status of Certain Anthropometric Parameters of Males of Sasaram, India and Its Variation Due to Soybean Added Diet

The anthropometric parameters are regarded as sensitive indicators. The core elements of anthropometric parameters are bodyweight, height and body mass index. To assess certain anthropometric features of males of Sasaram in respect to the standards and the variations in these features due to 60 days feeding of soybean added diet was the purpose of the work. Experimental studies indicate that soybean added diet might facilitate loss of bodyweight. All subjects were observed for anthropometric measurements after feeding of routine diet and soybean added diet. The average bodyweight was 63.65±8.97kg of volunteers aged 20-59 years with a height of 162.0+6.0cm in controlled condition among 2127 males. The average height of volunteers of 162.0+6.0cm was found less than the present standard of the Bihar, India as well as the world. On the other hand, the average of body mass index was 24.88±3.01 kg/m2 among the volunteers of the above age group and was found less than the present standard of the world but more than the standard of India. Consumption of soybean added diet was related to a moderately significant decreased weight (p<0.01) and body mass index. The study helps in establishing the anthropometric features of people of this area in comparison to the standard of the state and the country. Key words: Bodyweight, Body mass index, Males, Sasaram, Soybean diet.