Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  WHR
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
In his textbook titled 'Cultural frameworks of social behaviour'(2009) Paweł Boski severely criticised some of the formulations which I used in my works on the anatomical determinants of attractiveness of the human figure (Szmajke, 2004; 2005). I was accused of 'fable-writing', lack of elementary criticism' and 'impertinence'. In the same book, after analysing the results of one of the criticised experiments (Szmajke, 2004), he stated that they confirmed his own thesis on the femininity of Polish culture, as the one where ‘modelling the shape of the man’s body follows a feminine pattern (in America it would be labelled as ‘effemination’’ (p. 420). In this polemic I prove that Boski's objections are very poorly justified as they originate from his striking difficulty of distinguishing between an 'introduction' and 'conclusions' or 'deductions'. I also demonstrate that nothing but his casualness or reading comprehension problems might have led him to formulate the thesis that the finding of one of my experiments shows that Polish women (as opposed to American ones) are characterized by a 'feminine' and 'effeminate' pattern of the attractiveness of the masculine figure.
PL
Wprowadzenie: Analiza piśmiennictwa wskazuje występowanie ścisłych podobieństw w cechach morfologicznych w odniesieniu do zespołów wykonujących tę samą pracę, uprawiających tę samą dyscyplinę sportową bądź studiujących na tym samym kierunku. W obecnej sytuacji niżu demograficznego i jednocześnie silnej konkurencji na rynku edukacyjnym coraz częściej podnosi się kwestie nie tylko poziomu nauczania, ale również kompetencji i predyspozycji samych studentów. Cel: Za cel pracy przyjęło analizę rozwoju somatycznego mężczyzn studiujących na różnych kierunkach w WWFiS w Białej Podlaskiej Materiał i metody: Materiał do pracy stanowią dane antropometryczne 175 studentów pierwszego roku WWFiS w Białej Podlaskiej. Analizowaną kohortę mężczyzn podzielono na zespoły, uwzględniając profil studiów. Techniką Martina i Sallera wykonano pomiary cech antropometrycznych niezbędnych do obliczenia wskaźnika BMI, WHR i oszacowania składu tkankowego ciała. Do charakterystyki zgromadzonych zmiennych wykorzystano: wielkość próby (n) średnią arytmetyczną (x ~ ) oraz odchylenie standardowe (SD). Różnice w wielkości analizowanych cech pomiędzy wyłonionymi grupami oszacowano z wykorzystaniem testu t-Studenta dla danych niezależnych. Wyniki: Badania własne potwierdziły doniesienia innych autorów podejmujących problematykę analizy związków budowy ciała z profilem kształcenia. Stąd należy uznać, że selekcja związana z naborem na studia wychowania fizycznego w znacznym stopniu determinuje budowę ciała młodzieży. Wnioski: Odnotowane różnice międzygrupowe w wielkości beztłuszczowej masy ciała oraz poziomie otłuszczenia, jak i jego dystrybucji można uznać za efekt różnic w stylu życia badanych mężczyzn wynikających między innymi z profilu kształcenia.
EN
Introduction: The analysis of literature revealed close similarities concerning morphological features in groups of people performing the same work, practising the same sport or studying in the same field of study. In the present situation of the demographic low and strong competition on the educational market, the issues of the level of education as well as competences and predispositions of students are discussed more and more often. Aim: The aim of the work was to analyse somatic development of male students from various fields of study at the Faculty of Physical Education and Sport in Biala Podlaska. Material and methods: The material included anthropometric data of 175 first-year students of the Faculty of Physical Education and Sport in Biala Podlaska. The analysed cohort of men was divided into groups according to the field of study. The measurements of anthropometric features indispensable for calculating BMI, WHR and body composition were madewith the use of Martin and Saller technique. In order to describe the collected variables, sample size (n), arithmetic mean (x ~ ) and standard deviation (SD) were used. Differences between the selected groups concerning the analysed features were estimated with the use of Student’s t-test for independent data. Results: The findings were in line with publications of other authors analysing the correlations between body build and the field of study. Therefore, it should be concluded that the selection for physical education studies to a large extent determines body build of the students. Conclusions: The observed differences between groups concerning fat-free mass and the level of adiposity as well as its distribution may have stemmed from the differences in lifestyle of the examined men that resulted, inter alia, from their field of study.
EN
Measurement of body weight, height, waist and hip circumference is a standard procedure that allows to better define the risk of metabolic syndrome. The aim of the study is to determine the usefulness of anthropometric indicators such as BMI, WC (waist circumference), WHR, WHtR and percentage of body fat to predict the metabolic cardiovascular risk in the adult male population of Krakow, as well as an attempt to determine the metabolic cardiovascular risk with the original anthropometric risk index. The study included 405 men from the population working in the T. Sendzimir Steelworks in Kraków at the age of 30-69 years. Anthropometric measurements: body height measured to the nearest mm, circuits (waist, hips) measured to the nearest centimetre, the percentage of fat (the type of electronic scales Tanita BF 300) measured according to the standard protocol by the same technician and biomedical indicators assessing the functional status of organism, total cholesterol, HDL, LDL, triglycerides, glucose and blood pressure measured with a mercury manometer. As a measure of goodness of fit for the indices of risk (and their components), the AUC method was used for the ROC curves to evaluate the sensitivity and specificity of the diagnostic test. The results show that significant in predicting the risk of metabolic syndrome are not only standard anthropometric measurements specified in the standards of WHO, EGIR, NCEP and IDF. In addition, it is important to take into account the amount of fat and calculate the cumulative risk index based on all relevant measurements and indicators.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.