Abstracts Health Sciences

Association between cancer, adipose tissue and selected systemic markers : a possible classification according to body shape

by Ilze Lauren Mentoor

ENGLISH ABSTRACT: Background: The metabolic syndrome (MetS) is a cluster of risk factors associated with an increased risk of developing chronic diseases of lifestyle, and has more recently been associated with cancer risk. Currently, the pathophysiology of the MetS and cancer risk is still unknown; however it is proposed to involve several factors. These include the effects of body composition (android and gynoid shapes), and insulin resistance on the bioavailability of growth factors, inflammatory markers and sex hormone profiles. Various anthropometrical measurements have been used to investigate body composition, however, due to their limitations, a new metric namely a body shape index (ABSI) has been proposed to be a better measure of fat distribution and body shape. Aims: To determine the prevalence of the MetS, and the possible risks of developing cancer in relation to metabolic status, body composition, growth factors as well as inflammatory and sex hormone parameters. Methods: Female participants between the ages of 20-60 years were classified according to the International Diabetes Federation’s (IDF) definition of the MetS and according to body shape (android/gynoid) by photoscopic somatotyping. A series of tests and assessments were conducted; such as blood pressure assessments, anthropometric measurements, bioelectrical impedance analyses (BIA) and blood analyses. Blood analysis included fasting glucose, fasting insulin, lipid profile, insulin-like growth factor-1 (IGF-1), inflammatory marker (C-reactive protein (CRP)); and sex hormone parameters (oestrogen, female testosterone, sex hormone binding globulin; and free androgen index). Results: The prevalence of the MetS was found to be 57.5 %; with abdominal obesity (73.8 %), elevated blood pressure (BP, 68.8 %) and low high density lipoprotein-cholesterol (HDL-c) levels (68.8 %) being the more prevalent risk factors. Both metabolic status; and body shape alone were found to be predictors influencing anthropometric, BIA, physiological and biochemical blood parameters. Metabolic status was found to have an effect on several parameters in the gynoid body shape groups, i.e. body mass (BM) (p<0.001), hip circumference (HC) (p<0.01), body mass index (BMI) (p<0.001), fat mass (FM) (%) (p<0.01), fat free mass (FFM) (%) (p<0.01), waist circumference (WC) (p<0.001), HDL-c (p<0.001), triglycerides (TG) (p<0.05), systolic blood pressure (SBP) (p<0.05) and diastolic blood pressure (DBP) (p<0.01), while metabolic status showed an effect on BM (p<0.001), BMI (p<0.01), TG (p<0.05), SBP (p<0.01) and DBP (p<0.01) in the android body shape groups. Both metabolic status and body shape did not show any effect on ABSI, total cholesterol (TC), low density lipoprotein-cholesterol (LDL-c), fasting insulin, CRP and all sex hormone parameters. Correlation analyses revealed significant correlations for several anthropometric, BIA and blood parameters. Conclusion: This study showed that metabolic status, body shape and/or both could predict changes in various body composition,… Advisors/Committee Members: Nell, Theo A., Kruger, Maritza J., Stellenbosch University. Faculty of Science. Dept. of Physiological Sciences..