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.
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Bacha F. & Gidding S. S. (2016). Cardiac abnormalities in youth with obesity and type 2 diabetes. Current Diabetes Reports16(7): 62. doi: 10.1007/s11892-016-0750-6
Beck A. R. (2016). Psychosocial aspects of obesity. NASN School Nurse31(1) 23–27. doi: 10.1177/1942602X15619756
Cote A. T. Harris K. C. Panagiotopoulos C. Sandor G. G. & Devlin A. M. (2013). Childhood obesity and cardiovascular dysfunction. Journal of the American College of Cardiology62(15) 1309–1319. doi: 10.1016/j.jacc.2013.07.042
Dietz W. H. (1998). Health Consequences of Obesity in Youth: Childhood Predictors of Adult Disease. Pediatrics101 (Suppl. 2) 518–525.
Jetté M. Sidney K. & Blümchen M. (1990). Metabolic Equivalents (METS) in Exercise Testing Exercise Prescription and Evaluation of Functional Capacity. Clinical Cardiology13(8) 555–565. doi: 10.1002/clc.4960130809
Lauer R. M. & Clark W. R. (1989). Childhood Risk Factors for High Adult Blood Pressure: The Muscatine Study. Pediatrics84(4) 633–641.
Leiba A. Kark J. D. Afek A. Levi Z. Barchana M. Tzur D. Derazne E. et al. (2012). Overweight in Adolescence is Related to Increased Risk of Future Urothelial Cancer. Obesity20(12) 2445–2450. doi: 10.1038/oby.2012.83
Lloyd L. J. Langley-Evans S. C. & McMullen S. (2012). Childhood obesity and risk of the adult metabolic syndrome: a systematic review. International Journal of Obesity (Lond) 36 1–11. doi: 10.1038/ijo.2011.186
McCrindle B. W. (2015). Cardiovascular Consequences of Childhood Obesity. Canadian Journal of Cardiology31(2) 124–130. doi: 10.1016/j.cjca.2014.08.017
Mohanan S. Tapp H. McWilliams A. & Dulin M. (2014). Obesity and asthma: Pathophysiology and implications for diagnosis and management in primary care. Experimental Biology and Medicine (Maywood) 239(11) 1531–1540. doi: 10.1177/1535370214525302
Morrison K. M. Shin S. Tarnopolsky M. & Taylor V. H. (2015). Association of depression and health related quality of life with body composition in children and youth with obesity. Journal of Affective Disorders172 18–23. doi: 10.1016/j.jad.2014.09.014
Narang I. & Mathew J. L. (2012). Childhood Obesity and Obstructive Sleep Apnea. Journal of Nutrition and Metabolism2012: 134202. doi: 10.1155/2012/134202
Pollock N. K. (2015). Childhood obesity bone development and cardiometabolic risk factors. Molecular and Celularl Endocrinology410 52–63. doi: 10.1016/j.mce.2015.03.016
Topczewska M. Sawicka-Żukowska M. & Krawczuk-Rybak M. (2014). Statistical and Multidimensional Body Composition Parameter Analysis in Young Childhood Cancer Survivors. Studies in Logic Grammar and Rhetoric. Logical Statistical and Computer Methods in Medicine39(52) 25–42. doi: 10.2478/slgr-2014-0051