Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome

Supplementation with essential amino acids in the early stage of carbohydrate reintroduction after a very-low energy ketogenic therapy (VLEKT) improves body cell mass, muscle strength and inflammation

BACKGROUND

Although little is yet known about the long-term maintenance of very low-energy ketogenic therapy (VLEKT) effects on body composition, muscle strength and inflammation, it is plausible to assume that changes may occur, particularly during the steps following the ketogenic step, due to the loss of the protective effects of ketones and the concomitant reintroduction of carbohydrates. For this reason, the present study aimed to evaluate the effects of supplementation with 8 g per day of essential amino acids (EAAs) on these parameters.

METHODS

A total of 68 women of reproductive age and with grade I obesity who had completed 45 days of the ketogenic phase with VLEKT (KeNuT protocol) and 40 days of non-ketogenic phase of KeNuT protocol with VLEKT (phase 3, fruit reintroduction) were included in the study. Half of them (n = 34) followed this first step of the re-educational phase of KeNuT protocol with VLEKT with supplementation with EAAs (Aminotrofic®: 4 g twice daily). Anthropometric parameters, body composition via bioelectrical impedance analysis and high-sensitivity C-reactive protein (hs-CRP) levels were assessed at baseline, pre- and post both dietary interventions.

RESULTS

At the end of 45 days of ketogenic phase with VLEKT (before fruit reintroduction and EAA supplementation), the two groups did not differ in any of the parameters assessed. At the end of the fruit reintroduction phase, the supplemented group showed greater magnitudes of reduction in weight, waist circumference, fat mass (FM) and hs-CRP (p < 0.001 for all) and of increase in muscle strength (p < 0.001), phase angle (p < 0.001), body cell mass (BCM) (p = 0.001), and muscle mass (%) (p < 0.001).

CONCLUSION

These results underline the usefulness of supplementation with EAAs during the first transitional phase post VLEKT to improve body composition (specifically reduction in FM and increase in BCM), muscle strength, and inflammatory status.

Association of Short Sleep Duration and Obstructive Sleep Apnea with Central Obesity: A Retrospective Study Utilizing Anthropometric Measures

Background

Central obesity, as measured by examination instruments, has been shown to be associated with both OSA and short sleep duration. However, objective measurement tools like CT, MRI, and DXA are expensive, cause radiation exposure, and have limited availability, especially in resource-limited settings. Thus, this study aimed to demonstrate the relevance of Body Mass Index (BMI) and Waist-to-Height Ratio (WHtR) as surrogate indicators of visceral obesity in the assessment of OSA and short sleep duration. We also intend to evaluate whether WHtR, in combination with BMI, can be a suitable surrogate marker for visceral adiposity.

Methods

We recruited 333 adults with complete polysomnographic (PSG) records retrospectively. Logistic regression helped to assess the association of BMI and WHtR as surrogates for central adiposity with OSA and short sleep duration. Moreover, ROC curve analysis was conducted to evaluate the predictive ability of BMI and WHtR.

Results

Following the relevant adjustments, logistic regression analysis results showed that the combination of WHtR and BMI acting as central obesity surrogates was significantly associated with OSA and short sleep duration (p<0.05). According to univariate regression analysis, sleep latency and wake after sleep onset were independent predictors of the risk of central obesity in patients with short sleep duration and OSA. Additionally, ROC curve analysis demonstrated that the combination of BMI and WHtR provided a better assessment of central adiposity in patients with OSA and short sleep duration, compared to each measure alone.

Conclusion

BMI and WHtR are significantly associated with OSA and short sleep duration, and might serve as a potential surrogate marker for central obesity. Sleep latency and wake after sleep onset can independently predict the risk of central obesity in patients with short sleep time and OSA. Thus, larger prospective studies are needed to verify our findings.

[Visceral adiposity index (VAI) and dysfunctional adiposity index (DAI). Relationship with obesity parameters]

INTRODUCTION

Obesity is a global pandemic with a growing impact on morbidity and mortality. We assessed the associative strength of the Visceral Adiposity Index (VAI) and Dysfunctional Adiposity Index (DAI) in obesity and associated risk using different methods.

MATERIAL AND METHODS

Cross-sectional study in 418 343 workers from different autonomous communities in Spain, estimating prevalence of obesity with: waist circumference, waist/height index, BMI, CUN-BAE, ECORE-BF, RFM, PALAFOLLS, IMG, METS-VF calculated according to their specific formulas. Descriptive analysis of categorical variables and associative strength of VAI and DAI for obesity was performed with ROC curves considering high risk when the AUC value.0.8 and moderate with AUC.0.7 and.0.8. SPSS 27.0 was used, considering statistical significance p.0.05.

RESULTS

The prevalence of obesity varied according to the method used, being high with Palafolls (72.92% in women and 86.98% in men) and low with METS-VF (1.31% in women and 8.54% in men). The mean values of VAI and DAI are always higher in men. The AUC of the ROC curve for VAI was high with METS-VF: in women 0.836 (95%CI 0.829-0.843), in men 0.848 (95%CI 0.845-0.850) and with waist circumference in men: 0.819 (95%CI 0.816-0.822). DAI was high for METS-FV in women: 0.809 (95%CI 0.801-0.817).

CONCLUSIONS

The prevalence of obesity and related risk differs according to the assessment method used. VAI shows high strength of association with obesity and fat mass for METS-VF in both sexes and with waist circumference in men; DAI for METS-VF in women.

Disparities in the prevalence of metabolic syndrome between Iranian industrial workers and university staff

Background

Is there a difference in the prevalence of metabolic syndrome between employee service jobs and industrial jobs in Iran? In this study, we tried to answer this question. For this purpose, we compared the two populations of employees and workers. We compared the staff of the University of Medical Sciences as a service employees population (clinical and office work) to the industrial workers of a large automotive company (often with industrial occupations).

Method

In this cross-sectional study conducted in Tehran in 2020, the prevalence of metabolic syndrome among 4,372 people employed by the university and 3,899 automotive industry employees was examined and compared. The prevalence of metabolic syndrome was assessed based on two criteria, National Cholesterol Education Program Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF).

Results

The results showed that the prevalence of metabolic syndrome among university staff was higher than the automotive industrial workers. According to ATP III criteria, the former and latter showed the prevalence of metabolic syndrome of 13.1% among and 6.1%, respectively among. Also, based on IDF criteria, the prevalence of metabolic syndrome was 23.3% and 12.6% in two groups mentioned.

Conclusion

Based on the findings of this study, the prevalence of metabolic syndrome in university staff was almost double that in industry workers. At first glance, the physical activity of most automotive, industrial workers seems to be the main reason for this difference; however, a prevalence of about twice implies further factors. According to the authors, the legal implementation of monitoring, promotion, and surveillance programs of occupational health, in industrial environments can be a factor accounting for a significant difference in the prevalence of metabolic syndrome between the two populations observed. The authors suggest implementing similar programs for Iranian public sector employees to enhance their health status.

Assessment of metabolic syndrome predictors in relation to inflammation and visceral fat tissue in older adults

The diagnosis of metabolic syndrome (MetS) focuses on the assessment of risk factors such as insulin resistance, dyslipidemia, central adiposity and elevated blood pressure. Evidence suggests that markers of systemic inflammation may also be included in the definition of MetS and play some role in its pathogenesis. The study was designed to evaluate low-grade inflammation status in older adults with MetS in relation to increased body fat tissue and an attempt was made to evaluate new predictors for MetS through the analysis of the ROC Curve. Ninety-six middle-aged (69.2 ± 4.9) individuals from University of Third Age (women n = 75 and men n = 21) were allocated to two groups: without metabolic syndrome (n = 37) and with metabolic syndrome (n = 59) according to International Diabetes Federation criteria in agreement with American Heart Association/National Heart, Lung and Blood Institute 2009. Participants' current health status was assessed using medical records from a routine follow-up visit to a primary care physician. Statistical analysis was performed using R studio software. Depending on the normal distribution, ANOVA or the Kruskal-Wallis test was used. The optimal threshold value for clinical stratification (cut-off value) was obtained by calculating the Youden index. The AUC was observed to be the highest for a new anthropometric index i.e. lipid accumulation product (0.820). Low-grade inflammation dominated in MetS group (BMI 28.0 ± 4.4 kg/m², WHR 0.9 ± 0.1, FM 24.7 ± 7.9 kg) where significantly higher values of TNF-α (p = 0.027) and HGMB-1 protein (p = 0.011) were recorded.The optimal threshold values for immunological indices assessed as new predictors of the metabolic syndrome were: 93.4 for TNF-α, 88.2 for HGMB-1 protein and 1992.75 for ghrelin. High AUC values for these indices additionally confirmed their high diagnostic usefulness in MetS.

Metabolic disturbances during treatment with second generation antipsychotics

Second generation antipsychotics (SGA) cause side effects through weight gain, dyslipidemias (cholesterolemia, hypertriglyceridemia) as well as affected glucose homeostasis in terms of hyperglycemia,insulin resistance and the incidence of type 2 diabetes mellitus. The aim of this study was to investigate metabolic changes in patients treated with SGA. Materials and methods: This was a prospective study of 50 patients treated with SGA (olanzapine, clozapine, risperidone, quetiapine, aripiprazole) at the PHI University Clinic of Psychiatry who met the relevant ICD-10 criteria. The following parameters were monitored: history and clinical examination, blood pressure and pulse, height, weight, body mass index (BMI), Brief Psychiatric Rating Scale (BPRS), Clinical Global Impression Scale (CGI-S), dose of prescribed SGA,as well as: fasting glycemia, lipid status, HDL, LDL, glycosylated hemoglobin (HgA1C). The parameters were determined at the beginning and after three months of treatment. Results: The subjects in terms of the criteria of metabolic syndrome were: 64% with a larger waist circumference, 53.2% with an increase in systolic and/or diastolic blood pressure, 31.3% with a BMI>30, and 39% with an increase in glycaemia and reduced HDL values ​​at 23.4%. Also,18% of the respondents met three or more criteria. Statistical analysis of the differences in the analyzed parameters showed statistically significant differences for the CGI-S score (p = 0.00007) and for the diastolic pressure (p = 0.038). Correlation of equivalent doses of SGA with BMI (r = -0.637) was obtained. Discussion: The study confirmed presence of metabolic disorders in patients treated with SGA. Although there was no significant difference of metabolic syndrome parameters in relation to the general population, a correlation with BMI has been established. Conclusion: This study showed that patients treated with second-generation antipsychotics should be monitored during their treatment for the parameters of the metabolic syndrome, particularly BMI.

Metabolic syndrome; Definition, Pathogenesis, Elements, and the Effects of medicinal plants on it's elements

Introduction

Metabolic syndrome (MetS) is a cluster of metabolic risk factors that include central obesity, hypertension, insulin resistance, and atherogenic dyslipidemia and is strongly associated with a greater risk for developing cardiovascular disease and type 2 diabetes mellitus.

Methods

A literature search was conducted using the words metabolic syndrome, definition and pathogenesis in Scopus, and PubMed. The search also extended to cover medicinal plants and their role as a potential treatment of the metabolic syndrome. The search based on studies published in the English language from 1st of January 2000 to 30th of May 2021. The abstracts and the articles were then screened. Articles were scanned and read; further relevant references in the reference lists are also included.

Results

Both lifestyle factors and genetic factors are involved in the pathogenesis of the metabolic syndrome. Recently, MetS have gained significant attention due to the high prevalence of obesity worldwide. Diagnosis of patients with MetS is important to improve the outcomes of the disease by employing lifestyle and risk factors modifications. Currently, there is a rising interest in medicinal plants and their extracts because the medicinal plants have minimal side effects. Here we review the history, definitions, pathogenesis, management of metabolic syndrome and summarize the beneficial effects of some medicinal plants and their extracts on MetS.

Conclusion

Further research and clinical studies are needed to establish whether medicinal plants can be safely given as potential therapy for metabolic syndrome and whether this can be beneficial in low resources setting countries.