Changes of body composition among university students depending on the consumption frequency of selected bakery products.

Background. Bakery products such as bread, rolls, croissants and others are an important part of eating habits. Recently, their consumption has been associated with an undesirable increase and prevalence of overweight or obesity.Objective. The aim of the work was to analyze the influence of the consumption frequency of selected types of bread / bakery products on anthropometric parameters in a group of university students.Material and Methods. The group was composed of 120 volunteers consuming different types of bread / bakery products with different consumption frequencies during the week. The anthropometric parameters were measured by InBody 720. To obtain information on the frequency of consumption we used the questionnaire method.Results. The results suggest that in most cases it is not the type of product that is decisive, but its quantity consumed and frequency of consumption supported by low daily physical activity, resp. sedentary lifestyle. We found similar results of the influence of the consumption frequency on anthropometric parameters for all types of bread. Low levels of physical activity, basal metabolism and consumption of selected types of bakery products (wheat bread, wheat rolls, sweet pastries and gluten-free variants) can cause an increase in visceral as well as total body fat, weight gain, BMI, at the expense of fat-free mass. Our results showed that the groups of participants who did not consume a certain type of bread at all, rarely or 1 to 3 times a week, showed higher values of the examined parameters (BMI, body weight, body fat percentage, WHR) compared to the group which consumed a particular type of bakery products on average 4 to 7 times a week. The parameter´s values were largely influenced by the levels of physical activity.Conclusions. Based on the results it is possible to assume that if the bakery products are the part of a balanced diet with regard to the individual energy needs, it should not be the main cause of overweight / obesity in humans.

Association between Selected Dietary Habits and Lipid Profiles of Patients with Cardiovascular Disease.

This study evaluated the associations between selected dietary habits and lipid profiles in a group of 800 randomly selected patients hospitalized in the Nitra Cardio Center, Slovakia. Patients were aged 20-101 years (only men, the average age was 61.13 ± 10.47 years). The data necessary for the detection of dietary habits were obtained by a questionnaire method in closed-ended format. Data collection was carried out simultaneously with the somatometric and biochemical examinations of the respondents ensured by the Nitra Cardio Center. The following parameters were evaluated: total cholesterol (T-C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and blood glucose. Statistical comparisons between groups were performed using one-way analysis of variance (one-way ANOVA), followed by Tukey's post hoc test. We detected significant differences (p < 0.05) in the influence of the number of daily meals on T-C and LDL-C, which were higher in men who consumed 1-2 meals compared with 3-4 or 5-6 meals. In the consumption of meat, eggs, and fish, there was no significant effect on the biochemical parameters of blood (p > 0.05). We recorded a significant effect (p < 0.001) on T-C and LDL-C levels between low-fat and whole-fat milk consumption. Except for the impact of fruit consumption on the HDL-C level (p < 0.001), the different frequencies of fruit consumption showed non-significant changes for the lipid profile levels. We detected a significant effect (p = 0.017) of the consumption of vegetables 1-2 times/week on LDL-C in favor of daily consumption. Our results support that monitoring the lipid profile is an important determinant in the prevention and treatment of cardiovascular disease. The conducted research emphasizes the importance of diet dependence on the improvement of the quality of treatment and nutrition of people with this type of disease.

Uric acid alterations by consumption of gluten-free bakery products in relation to cardiovascular and metabolic syndrome risk factors.

BACKGROUND: Serum uric acid (UA) levels are one of the determinants of the cardiovascular disease and metabolic syndrome but none of criteria for that syndrome include serum UA. Consumption of bakery products (with or without gluten) is associated with an increasing prevalence of overweight/obesity and hyperuricemia frequently occurs in subjects with overweight and obesity. OBJECTIVE: The aim of the study was to find out how 6-weeks consumption of gluten-free bakery products can affect risk factors for cardiovascular disease and metabolic syndrome, and especially uric acid levels. MATERIAL AND METHODS: The group was composed of 27 female volunteers consuming gluten-free bakery products during 6-week period. The biochemical parameters levels were measured by Biolis 24i Premium, the anthropometric parameters by InBody 720 and blood pressure by OMRON Microlife. RESULTS: We found a non-significant increase in total cholesterol and decrease in triglycerides, in the case of LDL cholesterol a significant reduction in values and increase of HDL cholesterol. Glucose level increased significantly, but uric acid has not changed significantly. We found the highest total cholesterol, triglyceride, and LDL concentrations in the third UA quartile. The highest glucose concentrations were found in the lower UA quartiles, while the lowest in the highest quartiles. Linear increases in UA concentrations were not observed in any of the parameters. Evaluation of the anthropometric parameters showed that while values of BMI, VFA, fat mass and waist circumference were the highest at the beginning of the study in the second quartile, after intervention the highest values were shifted to the third quartile. CONCLUSIONS: Due to the consumption of gluten-free bakery products the risk values of the monitored parameters shifted to higher UA quartiles.

Obesity diagnosis and mortality risk based on a body shape index (ABSI) and other indices and anthropometric parameters in university students

Background: Obesity is a global epidemic and belongs to major risk factors for the most prevalent diseases. Anthropometric measures are simple, inexpensive, non-invasive tools to diagnosis obesity and to assess the risk of morbidity and mortality. The most widely used are body mass index (BMI), waist circumference (WC), waist-to-hip (WHR) and waist-to-height ratios, visceral fat area (VFA), body fat (BFP) and a new body shape index (ABSI). Objective: The aim of this study was to examine the usefulness of the ABSI in obesity diagnosis compared with other anthropometric parameters like WC, WHR, BMI, VFA, and BFP. We also compared the predictability between ABSI and above mentioned common anthropometric indices. Material and methods: The study group was composed of 236 university students. Body height, weight, WC was measured and BMI, WHR, ABSI and ABSI z-score were calculated. The anthropometric measurements were made by using InBody 720 (Biospace Co. Ltd., Seoul, Republic of Korea). Body composition, especially VFA, BFP, FFM was diagnosed by multifrequency bioelectrical impedance analysis. We evaluated the collected data statistically and graphically in Microsoft Office Excel 2010 (Los Angeles, CA, USA). Statistical analyses were performed using the program STATISTICA Cz version 10. Results: The diagnosis of obesity among participants according to anthropometric measures and indices showed considerable differences. We found that obesity was diagnosed according to waist circumference in 31% of participants. According to BMI 20.3% of subjects were overweight and 5.1% obese. With increasing BMI values, the values of WC, WHR and VFA also increased linearly. According to visceral fat area 11.4% of participants were in the risk obese group and by ABSI mortality risk there were 22% of subjects with high risk (4.8% and 28.3% for men and women, respectively) and 19.1% with very high risk (11.1% and 22% for men and women, respectively). VFA and BFP values increased with increasing risk of mortality, and in men also waist circumference values. When evaluating the ABSI in relation to BMI, the U-shaped curve was confirmed and in the case of WC the J-shaped curve. The FFM evaluation showed that the very low ABSI mortality risk group reached the highest values of this parameter and the lowest values showed the average mortality risk group, not only in the study group but also in male and female groups. Conclusions: Our findings suggest the relevance of ABSI to screen at-risk population.

Comparison of selected parameters of body composition in a group of sporting and non-sporting women

Background: Physical activity is bodily movement produced by skeletal muscle that requires energy expenditure and promotes health benefits. Appropriate physical activity is important in the prevention of cardiovascular disease, coronary heart disease, type 2 diabetes mellitus, obesity, metabolic syndrome, breast cancer, and others. Objective: The aim of the study was to compare the body composition of the selected group of women in relation to physical activity (group of sporting women (S) versus group of non-sporting women (N-S) using an InBody 230 instrument based on the principle of bioelectric impedance. Material and Methods: The group consisted of 140 women (nS = 70 vs nN-S = 70) aged 20-63 years (the average age of women doing sport was 41.1 ± 11.9 and 42.3 ± 10.87 for non-sporting women). Anthropometric measurements were made using the InBody 230 (Biospace Co. Ltd., Seoul, Republic of Korea). The Lookin'Body 3.0 software to process the results was used. The collected data concerning the anthropometric measurements were evaluated statistically and graphically in Microsoft Office Excel 2010 (Los Angeles, CA, USA). Results: The average value of BMI (Body Mass Index) of sporting women was 24.20 ± 3.54 kg.m-2 and non-sporting women 27.30 ± 5.97 kg.m-2 (P<0.5). Average values of WHR (Waist hip ratio) were higher than 0.85 for both groups. Average BMR (Basal metabolic rate) values of women doing sport ranged from 1364-1585 kcal. The higher percentage of TBW (Total body water), ICW (Intracellular water) and ECW (Extracellular water) from the average body weight was achieved by the group of women doing sport, where the average TBW was 51.51% of body weight, ICW 31.93% and ECW 19.58% of body weight. Higher values of FFM (Fat free mass) were achieved by a group of sporting women. The average BFM in the group of women doing sport was 20.10 ± 6.73 kg, in the non-sporting group 27.60 ± 12.73 kg. The minimum PBF in the sporting group of women was 16.40% and a maximum of 43.30%; the minimum value in the group of women doing not sport was 19.30% and a maximum of 50.40% (p <0.01). The average VFA (Visceral fat area) in the group of women doing sport was 86.70 ± 28.79 cm2 and in the group of non-sporting women 113.90 ± 44.95 cm2 (p<0.01). Conclusions: The results of the measurements show the positive influence of physical activity on components of body composition in all age categories. Physical activity, along with rational nutrition, should be part of a healthy lifestyle for each individual.