Metabolically healthy obesity and health risks - a review of meta-analyses.

OBJECTIVE: This article briefly summarizes the results of existing research on metabolically healthy obesity in the context of health risks. METHODS: The PubMed database was searched for relevant meta-analyses addressing metabolically healthy obesity in the context of health risks. RESULTS: We included a total of 17 relevant meta-analyses in this review. The results of the studied meta-analyses showed that metabolically healthy obesity may be only a transient condition associated with an increased risk of developing metabolic abnormalities in the future. People with obesity without metabolic abnormalities have an increased risk of type 2 diabetes, cardiovascular disease, cancer, chronic kidney disease, and depressive syndrome. In addition, all people with obesity are at risk of pathogenesis resulting from the mechanical stress caused by presence of abnormal adipose tissue, such as sleep apnoea syndrome or skin problems. CONCLUSION: Based on the results of meta-analyses, we recommend motivating all obese patients to change their lifestyle regardless of the presence of metabolic defects.

Changes in Segmental Impedances and Selected Body Composition Parameters Assessed by Multi-Frequency Bioimpedance Analysis after Fluid Consumption in Healthy Young Population.

Objectives: Body composition (BC) analysis is a routine part of comprehensive public health care. Assessment of BC is more important source of information than BMI. Adherence to the standard measurement conditions is essential for the correct results. Our study aimed to examine the effect of acute fluid consumption on measures of body mass (BM), percentage of body fat (%BF), visceral fat (VF), percentage of body water (%BW), and impedance at 100 kHz (I100) and 20 kHz (I20) using segmental multi-frequency bioelectrical impedance analysis (SMF-BIA) in a general healthy population. Methods: 95 consecutive healthy normal-weight adults (42 men; 53 women) were involved in the study (mean ± s.d.; age 23.9±1.6 years; body mass 68.3±14.1 kg). All subjects underwent two separate series of body composition (BC) measurements at 0 (BASELINE), 30, 60, 90 min (POST): the first series after drinking 600 ml of isotonic carbohydrate/electrolyte drink (IST) and the second after no fluid administration (CON). Individual measurements were performed in the morning on two consecutive days. Results: In the IST group, BM, VF (both P<0.001), and %BF (P<0.05) increased significantly at 30 min POST compared to BASELINE. BM and VF remained elevated at 90 min POST (both P<0.001). %BW decreased significantly at 30 min POST (P<0.01) then increased at 60 min (P<0.001) and 90 min (P<0.01) POST. There were no significant changes in I100. I20 increased significantly at 30 min POST (P<0.001) then decreased at 60 min (P<0.001) and 90 min POST (P<0.01) compared to BASELINE. In the CON group, BM and VF decreased below BASELINE at 90 min POST (P<0.001), %BF, %BW and I100 did not change significantly. The difference between IST and CON was statistically significant for all POST measurement times only in BM and VF (both P<0.001). The VF results are also underlined by the detected impedance changes in the trunk area at 20 kHz (B20) and 100 kHz (B100) at 60 min and 90 min (both P<0.001). Conclusions: Our study suggests that segmental impedances and BC measurement in healthy young normal-weight adults requires strict adherence to fluid restriction at least 90 min before the measurement to avoid false impedance values and overestimation of BM and VF.

Factors influencing basal metabolism of Czechs of working age from South Moravia.

OBJECTIVE: Basal metabolic rate (BMR) is the main part of the total body energy expenditure. The value of BMR is individual and depends on a lot of factors. The goal of the research was to discover the influence of anthropometric parameters, age and gender, on changes of the BMR values. METHODS: A total of 177 individuals of Czech Caucasian origin from South Moravia (BMI 27.3 ± 7.88 kg/m2) aged 18-55 (117 women, 60 men) were included in the study. Selected anthropometric characteristics were measured using a stadiometer (SECA 213) and bioelectrical impedance analysis (Inbody 230). BMR was measured by indirect calorimetry (Cortex Metalyzer 3B). The measured values were statistically evaluated by the regression analysis and least square method (LSM). RESULTS: From the following results that the factors that influence the BMR value statistically significantly (p < 0.05) are: age, gender, body mass index, total body water, and percent of body fat. CONCLUSION: Body fat and age have both an indirect impact on the basal metabolic rate of the Czech population in working age. However, BMI and the total body water were discovered to have a direct influence on the BMR.