Diagnosis of obesity and evaluation of the risk of premature death (ABSI) based on body mass index and visceral fat area.

Background: Body mass index (BMI) is the most commonly used parameter for identifying obesity. However, it is a tool that can distort the diagnosis as misdiagnose. Objective: The aim of the study was to evaluate the BMI and visceral fat area (VFA) and to determine the presence of obesity in a group of young people and to assess their suitability for use together with other parameters indicating excessive body fat and increased risk of non-communicable disease and premature death. Material and Methods: The study group consisted of 339 university students. We used InBody 720 for diagnosis body composition. The following body composition parameters were measured - BMI, waist circumference (WC), fat-free mass (FFM), VFA, percentage of body fat (PBF). Results: The BMI values by gender indicate overweight in the male group compared to females (25.2 ± 3.1 and 22.2 ± 3.4 kg.m-2, respectively; p<0.001). Women had higher values of VFA than men (70.1 ± 26.4 and 56.2 ± 28.3 cm2, respectively; p<0.001). Although the group of men had an increased average BMI, which allows us to talk about overweight, the risk of premature death was low. In the case of the male group, a high proportion of fat-free mass had a major impact on BMI. Lower values of fat parameters also contributed to the low risk of premature death. We found a nonlinear relationship in the BMI assessment in terms of premature risk of death. Higher values of the premature death risk were found in the subgroups of underweight and obesity. In the case of the VFA and ABSI relationship a linear increase in the curve and the risk of premature death was observed. Conclusions: In order to evaluate the presence of overweight or obesity it is necessary to use not only BMI but other diagnostic elements for this purpose. The components of the body composition need to be evaluated comprehensively. Evidence of this is the risk of premature death, where optimal BMI values may pose an increased risk and vice versa.

Effect of short-term consumption of pork supplemented by organic selenium on selenium concentration, antioxidant status, and lipid parameters of consumers.

The aim of the research was to evaluate the impact of consumption of pork enriched with selenium on selenium concentration, antioxidant status and lipid parameters of consumers. The research involved 59 probands in four experiments from the general population of Slovakia. The probands consumed 200 g of enriched meat with organic selenium from pork fed with selenized yeast three times a week during one month. Probands of exp.1 consumed freshly prepared lunch and probands of exp. 2-4 consumed sterilized meat. During the experiment, three blood collections were carried out. After short-term consumption of enriched pork with selenium, concentration of selenium in the blood serum of probands increased significantly in exp. 1 and 4 (P < 0.05). TAS increased significantly after 28 days in exp. 2, 3 and 4 (P < 0.05 and P < 0.001). The level of T-C and TG significantly decreased in exp. 2 and 4 (P < 0.05). HDL-C levels non-significantly increased (P > 0.05) in exp. 1, 3, and 4. The levels of LDL-C significantly decreased in exp. 2 (P < 0.05). These results demonstrated that pork appears to be a suitable component for increase the selenium intake of consumers.

Obesity, smoking status and their relationships in selected population groups.

BACKGROUND: Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health. Obesity is associated with many chronic diseases, including cardiovascular disease and diabetes, and recently the role of overweight and obesity in lung disease has received new interest. Chronic obstructive lung disease is the third-leading cause of death globally, and both obesity and diet appear to play roles in its pathophysiology. Cross-sectional studies have demonstrated an inverse association between obesity and the prevalence of chronic obstructive pulmonary disease (COPD). OBJECTIVE: Objective. This study aims to evaluate the relationship between smoking, lipid profile and obesity (body composition changes) in a selected groups of population (30 non-smokers, 30 smokers and 60 COPD patients). MATERIAL AND METHODS: We evaluated fat mass, fat free mass, body mass index and lipid profile in a group of 120 randomly selected probands (60 COPD patients; 30 smokers without COPD; 30 non-smokers without COPD) to identify possible negative relationships of smoking to body composition. To the measurement of fat mass (FM) and fat free mass (FFM) was used a device Bodystat Quadscan 4000 (Bodystat Ltd, British Isles). The device works by using four-frequency bioelectrical impedance analysis. Laboratory parameters as total cholesterol (T-C), high-density cholesterol (HDL-C), low-density cholesterol (LDL-C) and triacylglycerols (TG) were investigated by automated clinical chemistry analyzer LISA 200th. The measured values were statistically processed and evaluated in a statistical program STATISTICA Cz. Version 7.1. (Kruskall-Wallis test). RESULTS: A comparison of the mean fat mass we found statistically highly significant differences between the group of COPD patients and non-smokers (P <0.001) and insignificant differences (P ≥ 0.05) between the other groups of our experiment. A comparison of the mean fat mass values of all three groups of the experiment shows a steady increase in fat from non-smokers (17.66 ± 10.04 kg) to COPD patients with the highest mean value (25.08 ± 10.14 kg). In the group of COPD patients we recorded the lowest average value of FFM (51.76 ± 13.84 kg), in group of smokers the middle (56.06 ± 10.76 kg) and in non-smokers the highest average value of FFM (59.91 ± 9.90 kg) at relatively the same body weight in the groups. Based on calculated body mass index (BMI), we found in group of COPD patients overweight in 15 cases (25%), obesity in 7 patients (11.67%), severe obesity in 14 patients (23.3%) and morbid obesity in 2 patients (3.33%); in the group of smokers overweight in 16 cases (53.33%), obesity in 5 cases (16.6%) and severe obesity in 1 case (3.33%); in non-smokers we recording overweight in 14 cases (46.67%), obesity in 5 cases (16.67%) and severe obesity in 2 cases (6.67%). In the lipid profile of the monitored groups of probands, we observed statistically significant differences only for LDL cholesterol (LDL-C). There was a statistically significant difference (P <0.001) between the group with COPD and smokers, as well as between the group of smokers and non-smokers (P < 0.05). CONCLUSIONS: In the vast majority of patients with COPD, the lung damage that leads to COPD is caused by long-term cigarette smoking. The presence and absence of risk factors such as smoking, inappropriate lipid profile and obesity (amount of fat mass) in selected population groups were observed. Additional studies to explore both the quantitative and qualitative changes in body composition with disease process of COPD are required.

The relationship between seeds consumption, lipid profile and body mass index among patients with cardiovascular diseases.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death worldwide and largely preventable through improving diet quality and other lifestyle factors. In recent years, dietary recommendations have shifted towards diets high in plant-based foods and low in animal-based foods for the prevention of chronic diseases. OBJECTIVE: This study aims to evaluate the relationship between seeds consumption, lipid profile and body mass index (BMI) in a group of 889 (313 female and 576 male) randomly selected patients hospitalized in the Nitra Cardio Center, Slovakia. MATERIAL AND METHODS: The data necessary for the evaluation the relationship between seeds consumption, lipid profiles and BMI were obtained by a questionnaire method in closed-ended format. Data collection was carried out simultaneously with the anthropometric and biochemical examinations of the respondents ensured by the Nitra Cardio Center. The following parameters were assessed in the blood: total cholesterol (T-C), low-density cholesterol (LDL-C), high-density cholesterol (HDL-C), triglycerides (TG), and glucose (GLU). Comparisons between groups were made utilizing one-way analysis of variance (ANOVA) followed by Tukey's post hoc test. RESULTS: Respondents indicated pumpkin seeds as the most commonly consumed seeds (45.19% of women and 53.06% of men) and their preference did not cause changes in lipid profile. Women who consume seeds 1-2 times/month had significantly lower levels of T-C and LDL-C compared to women non-consuming seeds (P < 0.05). In men, we did not observed any changes in lipid profile. The lowest BMI in women was associated with flaxseed preference and in men with sunflower preference. Increasing frequency of seeds consumption of women and men did not cause changes in BMI. CONCLUSIONS: Based on beneficial effects of seeds on cardiovascular risk factors, it seems that seeds consumption can be considered as a useful therapeutic approach for reducing lipid profile and body mass index.