Search Results

1 - 3 of 3 items

  • Author: Małgorzata Krawczuk x
Clear All Modify Search
Statistical and Multidimensional Body Composition Parameter Analysis in Young Childhood Cancer Survivors

Abstract

This article concerns the problem of assessing selected body compo- sition parameters after completion of antitumor therapy and comparing them with the same parameters of healthy children. A high percentage of overweight and obesity, as well as abnormal fat distribution in convalescents with cancer shows a significant adverse effect of therapy on body composition and suggests the need for early intervention in terms of diet and exercise, which would help patients to quickly achieve the proper parameters of body composition. Two main problems will be mentioned during the presented data analysis. Firstly, in each group there was a small number of observations. Because of this, the real differences between examined subgroups may have been omitted. Secondarily, many variables are correlated and are not normally distributed. Therefore, be- side the standard statistical tests to compare two groups, principal component analysis was applied to reduce the dimensions of the attribute space and to attempt to classify two groups of patients.

Open access
Statistical Methods in the Evaluation of Cardio-Respiratory Parameters in Young Childhood Cancer Survivors and Healthy Peers

Abstract

This study concerns the problem of late complications of antineo-plastic therapy. Reduced parameters of the cardiorespiratory system in childhood may have a tremendous impact on health. In order to assess the selected parameters, to evaluate physical endurance, and compare the results with those obtained for healthy children, a test was carried out on a treadmill, until 80% of maximum pulse rate was reached. To compare the differences between the treatment group and the control group, three approaches were used. The first one was the classical statistical inference, the second consisted in forming a multidimensional normal model and also involved modelling of the correlation between variables. The unstructured type of the working correlation matrix was chosen to obtain the results and correct standard errors. In the last approach, logistic regression was used to model the relationship between binary outcome and covariates, and to differentiate between the groups of patients on the basis of their cardiovascular parameters.

Open access
Summer phytoplankton in selected lakes of the East Suwałki Lakeland in relation to the chemical water parameters

Abstract

The study covered a complex of 16 lakes of the East Suwałki Lakeland, distinguished by high differentiation of morphometric parameters determining their polymictic or dimictic character. In half of the lakes studied, the occurrence of summer water thermal stratification was observed. It strongly influenced the vertical qualitative and quantitative diversification of phytoplankton. The majority of the lakes studied were classified as eutrophic waters. Only lakes Szelment Wielki and Pejcze had the Carlson chlorophyll index at the boundary of mesoeutrophy. In the case of the majority of the lakes, the concordance of all the trophy indices was recorded. In 6 mesoeutrophic lakes, the character of water was only suggested by phytoplankton parameters

Open access