Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals

Effect and safety of electroacupuncture on weight loss in obese patients with pre-diabetes: study protocol of a randomised controlled trial

INTRODUCTION

Obesity has been identified as a significant risk factor for several chronic conditions, including diabetes, tumours and cardiovascular disease, and has been associated with increased mortality rates. Despite the well-established clinical practice of electroacupuncture (EA) as a potential treatment option for obesity, its efficacy remains questionable, primarily due to the paucity of empirical evidence supporting its therapeutic benefits.

METHODS AND ANALYSIS

The present study aims to investigate the efficacy and safety of EA for weight loss in obese individuals with pre-diabetes, using a randomised, placebo-controlled clinical trial design. A total of 256 eligible patients will be randomly assigned to one of two groups: EA (comprising EA treatment with health education) or superficial acupuncture (SA) (comprising SA treatment with health education). The intervention will be administered three times per week for the initial 12 weeks, two times per week for the subsequent 8 weeks and one time per week for the final 4 weeks, with a 24-week follow-up period. The primary outcome measure will be the percentage of patients who achieve a reduction of 10% or more in their body weight at week 24. Secondary outcome measures will include changes in body weight and body mass index, blood test results, data collected by the body composition analyser, size of adipose tissue scanned by MRI of the abdomen and the Impact of Weight on Quality of Life, the 21-item Three-Factor Eating Questionnaire-Revised and the Food Craving Questionnaire-Trait. The Treatment Emergent Symptom Scale will be employed to monitor every adverse reaction from baseline to follow-up.

ETHICS AND DISSEMINATION

This trial has received ethical clearance from the Ethics Committee of Shanghai Municipal Hospital of Traditional Chinese Medicine under the registration number 2021SHL-KY-74. All participants will provide their written informed consent prior to their enrolment. The findings of this investigation will be disseminated through peer-reviewed publications and scholarly conferences.

TRIAL REGISTRATION NUMBER

NCT05237089.

Comparison of Central Fat Accumulation Indices with Body Mass Index in Women with Polycystic Ovary Syndrome

Background

Polycystic ovary syndrome (PCOS) is an endocrinopathic disorder commonly affecting women in the reproductive age group, predisposing them to risk of metabolic syndrome. Currently, body mass index (BMI) is used as a marker to assess obesity. However, it is the central obesity which is a prevalent characteristic of PCOS which goes undetected in many women who exhibit an apparently lean PCOS. Recently, indices, such as body fat percentage (BFP), visceral adiposity index (VAI) and lipid accumulation product (LAP), have been deemed more effective, as they present formulas, anthropometric indices and biochemical measures. The aim of this study was to compare the other central fat accumulation indices-VAI, LAP and BFP with BMI in women with PCOS.

Methods

The descriptive type of cross-sectional study was conducted in a tertiary care hospital which included 110 women, aged 18-40 year fulfilling the Rotterdam criteria for diagnosis of polycystic ovary syndrome. Height, weight and lipid profile were measured, and BMI, LAP and VAI were calculated. Body fat percentage was measured by the body fat analyser using the bioelectrical impedance method. All indices were then compared.

Results

BMI showed a significant positive correlation with BFP (r = 0.68). VAI and LAP showed significant correlation with each other (p < 0.05). LAP and VAI were found to weakly correlate with BFP. However, lean PCOS also had higher values of visceral adiposity indices and hence did not show strong correlation.

Conclusion

Central fat accumulation indices should be integral in assessing body fat distribution. BFP, VAI and LAP assess fat distribution and function both and, hence, present complete information at low cost.

Changes in Metabolic Health and Sedentary Behavior in Obese Children and Adolescents

Obesity is becoming more common among children and adolescents. As in adults, obesity in the pediatric population is associated with an increased risk of metabolic disorders and diseases. In the related literature, little attention has been devoted to evaluating how metabolic health and sedentary behavior change in the obese pediatric population. Therefore, this study aimed to assess changes in metabolic health and sedentary behavior in obese children aged 7-12 and adolescents aged 13-17. For this single-center hospital-based prospective observational study, we included 202 Polish children and adolescents aged 7-17 years. We performed blood pressure measurements and collected blood samples to assess metabolic health markers. Based on the performed measurements, we also calculated additional indexes and ratios: BMI, WHtR, ABSI, VAI, and HOMA-IR. The analysis of the results showed clear and significant differences between the study groups. The older boys and girls were identified with higher values of anthropometric ratios, blood pressure, time spent sitting, and lower HDL cholesterol values (p < 0.05). The analysis also revealed a strong-to-moderate correlation between age and anthropometric ratios, blood pressure, HDL cholesterol, and sitting time (p < 0.05). Obese children and adolescents included in this study represent poor metabolic health and are at great risk of developing other metabolic diseases such as type 2 diabetes, hypertension, or metabolic syndrome. This risk increases with age; therefore, a number of preventive and therapeutic actions should be taken in overweight and obese children and adolescents to avoid further metabolic complications.

Sarcopenic obesity in free-living older adults detected by the ESPEN-EASO consensus diagnostic algorithm: Validation in an Italian cohort and predictive value of insulin resistance and altered plasma ghrelin profile

Aging and obesity are synergistic sarcopenia risk factors (RF). Their association in sarcopenic obesity (SO) enhances morbidity and mortality, but consensus on SO diagnostic criteria is limited. ESPEN and EASO issued a consensus algorithm for SO screening (obesity and clinical SO suspicion) and diagnosis [low muscle strength by hand-grip (HGS) and low muscle mass by BIA], and we investigated its implementation in older adults (>65-years), as well as SO-associated metabolic RF [insulin resistance (IR: HOMA) and plasma acylated (AG) and unacylated (UnAG) ghrelin, with predictive value also assessed from 5-year-prior observations]. Older adults with obesity from the Italian MoMa study on metabolic syndrome in primary care (n = 76) were studied. 7 of 61 individuals with positive screening had SO (SO+; 9 % of cohort). No individuals with negative screening had SO. SO+ had higher IR, AG and plasma AG/UnAG ratio (p < 0.05 vs negative screening and SO-), and both IR and ghrelin profile predicted 5-year SO risk independent of age, sex and BMI. The current results provide the first ESPEN-EASO algorithm-based investigation of SO in free-living older adults, with 9 % prevalence in those with obesity and 100 % algorithm sensitivity, and they support IR and plasma ghrelin profile as SO risk factors in this setting.

Cardiometabolic Index (CMI) and Visceral Adiposity Index (VAI) Highlight a Higher Risk of Metabolic Syndrome in Women with Severe Obesity

Recent evidence shows that simple and inexpensive anthropometric measurements can be used to identify, at an early stage, women with obesity at increased risk of developing metabolic syndrome (MetS). Thus, the aim of this study was to compare the accuracy of five different indexes of adiposity and/or body composition in identifying MetS in a group of 876 women (mean age ± SD: 52.1 ± 13.8 years; body mass index (BMI): 43.6 ± 6.1 kg m^-2). The following indexes were determined for each subject: waist-to-hip ratio (WHR), waist-to-height ratio (WtHR), body mass fat index (BMFI), visceral adiposity index (VAI), and cardiometabolic index (CMI). Overall, the presence of MetS was detected in 544 patients (62%). Pearson correlation coefficients were calculated to evaluate the relationships between body composition indexes and metabolic characteristics of the women. Receiver operating characteristic (ROC) analysis was used to determine the best predictor for each adiposity index among metabolic risk factors. The ROC analysis showed VAI (AUC = 0.84) and CMI (AUC = 0.86) showed the best performance in predicting MetS. Differences were found between the ROC area of CMI and VAI with all other indexes (p < 0.05). The optimal cutoff point for early diagnosis of MetS was >0.92 for WHR, >0.76 for WtHR, >30.1 kg m^-1 for BMFI, >1.94 for VAI, and >0.84 for CMI. In addition, VAI and CMI were the most sensitive and specific indexes compared with other indexes. In conclusion, VAI and CMI represent the most useful and reliable indexes to be used for detecting MetS in women suffering from obesity in clinical practice.

Nutritional management of individuals with obesity and COVID-19: ESPEN expert statements and practical guidance

The COVID-19 pandemics has created unprecedented challenges and threats to patients and healthcare systems worldwide. Acute respiratory complications that require intensive care unit (ICU) management are a major cause of morbidity and mortality in COVID-19 patients. Among other important risk factors for severe COVID-19 outcomes, obesity has emerged along with undernutrition-malnutrition as a strong predictor of disease risk and severity. Obesity-related excessive body fat may lead to respiratory, metabolic and immune derangements potentially favoring the onset of COVID-19 complications. In addition, patients with obesity may be at risk for loss of skeletal muscle mass, reflecting a state of hidden malnutrition with a strong negative health impact in all clinical settings. Also importantly, obesity is commonly associated with micronutrient deficiencies that directly influence immune function and infection risk. Finally, the pandemic-related lockdown, deleterious lifestyle changes and other numerous psychosocial consequences may worsen eating behaviors, sedentarity, body weight regulation, ultimately leading to further increments of obesity-associated metabolic complications with loss of skeletal muscle mass and higher non-communicable disease risk. Therefore, prevention, diagnosis and treatment of malnutrition and micronutrient deficiencies should be routinely included in the management of COVID-19 patients in the presence of obesity; lockdown-induced health risks should also be specifically monitored and prevented in this population. In the current document, the European Society for Clinical Nutrition and Metabolism (ESPEN) aims at providing clinical practice guidance for nutritional management of COVID-19 patients with obesity in various clinical settings.

Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers

Background

Detecting the early onset of metabolic syndrome (MetS) allows for quick intervention which may slow progression to a variety of health consequences, hence, determining the best measurement to detect MetS is essential.

Aim

This research aimed at examining the MetS predictive power of anthropometric indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body shape index (ABSI), body roundness index (BRI), percentage body fat (%BF), conicity index (CI), and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE) to determine the cut-off points to identify male South African taxi drivers with MetS.

Method

A cross-sectional study was conducted among 185 male taxi drivers. Their weight, height, WC, blood lipid profile were measured. International Diabetes Federation (IDF) definition was used to define MetS. Receiver Operating Characteristic (ROC) curves were used to compare the predictive ability of Anthropometric indices to detect MetS.

Results

The mean age of the participants was 39.84 years. Overall, 41.6% (N = 77) of the participants presented with MetS. The mean values for BMI, WC, WHtR, %BF, BRI, CUN-BAE, ABSI and CI were 28.60 ± 6.20 kg/m², 99.13 ± 17.59 cm, 0.58 ± 0.10, 27.28 ± 8.28%, 5.09 ± 2.33, 27.78 ± 8.34, 0.08 ± 0.01 and 1.70 ± 0.19, respectively. The mean values for these indices were significantly (p < 0.001) higher in participants with MetS. The highest area under the curve (AUC) outcomes for screening MetS were for the %BF and CUN-BAE, followed by the BMI and WHtR, and lastly the BRI. All these anthropometric indices had outstanding discriminatory powers for predicting MetS with AUCs and sensitivity values above 80%. The BMI, WHtR, %BF, BRI, and CUN-BAE, had cut-off points for detection of metS in South African men at 28.25 kg/m², 0.55, 25.29%, 4.55, and 27.10, respectively. Based on the logistic regression models abnormal BMI, WHtR, %BF, BRI, CUN-BAE, TG, FBG, systolic BP, diastolic BP and WC showed increased risk of MetS.

Conclusion

While the %BF, CUN-BAE, BMI, WC, WHtR, BRI, CI and CUN-BAE could predict MetS among South African male taxi drivers, these indices were less effective in predicting the individual MetS risk factors such as TG, BP, and FBG.

High visceral adiposity index is associated with female orgasmic disorder in premenopausal women: a cross-sectional study

This study aimed to evaluate the association between the visceral adiposity index (VAI) and female sexual dysfunction (FSD). This cross-sectional study included 165 premenopausal, sexually active women admitted to the gynaecology outpatient clinic between January 2021 and April 2021. Female Sexual Function Index (FSFI) was used to assess the sexual function of the women. After measuring body mass index (BMI) and waist circumference (WC), biochemical serum analysis was performed. The VAI was calculated for all participants. The relationship between VAI and total FSFI and subdomain scores was investigated. Of the participants, FSD was detected in 65.5%. There was no relationship between the total FSFI scores and age, BMI, WC and VAI (p = .126, p = .675, p = .790, p = .220, respectively). Increased VAI levels were associated with dysfunction in orgasm (p = .008). Although VAI seems not to be directly related to FSD, it may predict the orgasmic disorder in women.Impact StatementWhat is already known on this subject? Obesity and female sexual dysfunction (FSD) are common health problems which adversely affect the biopsychosocial well-being. Although the relationship between FSD and obesity, body mass index (BMI) and waist circumference (WC) has been widely discussed in the literature to date, there is not enough evidence for the link between FSD and visceral adiposity index (VAI) which is a reliable indicator of visceral fat dysfunction.What do the results of this study add?The results of this study showed that none of the factors indicating obesity such as BMI, WC and VAI were correlated with the total FSFI scores. However, a significant positive correlation was found between the VAI and female orgasmic disorder (FOD).What are the implications of these findings for clinical practice and/or further research? The VAI may be a useful tool for detecting FOD patients. Diagnosis and treatment of orgasmic disorder would significantly improve the patient's quality of life and general well-being. Further large-scale and high-evidence studies are needed to clarify the impact of obesity on FSD and the relationship between VAI and FOD.

Visceral Adiposity Index Plays an Important Role in Prognostic Prediction in Patients With Non-ST-Segment Elevation Acute Coronary Syndrome and Type 2 Diabetes Mellitus Undergoing Percutaneous Coronary Intervention

Background: Visceral adiposity index (VAI), a surrogate marker of adiposity and insulin resistance, has been demonstrated to be significantly related to cardiovascular disease. It remains indistinct whether VAI predicts adverse prognosis after percutaneous coronary intervention (PCI) for patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and type 2 diabetes mellitus (T2DM). Methods: A total of 798 participants who met the enrollment criteria were finally brought into this study. VAI was determined by waist circumference, body mass index, fasting triglyceride, and high-density lipoprotein cholesterol as previously reported. Adverse prognosis included all-cause death, non-fatal myocardial infarction, non-fatal ischemic stroke, and ischemia-driven revascularization, the composite of which was defined as the primary endpoint. Results: Higher VAI maintained as a significant and independent risk predictor for the primary endpoint, regardless of the adjustment for the various multivariate models [hazard ratio (95% CI) for fully adjusted model: 2.72 (2.02-3.68), p < 0.001]. The predictive value of VAI was further confirmed in sensitivity analysis where VAI was taken as a continuous variate. There was a dose-response relationship of VAI with the risk of the primary endpoint (p for overall association < 0.001). Moreover, the ability of VAI on the prediction of the primary endpoint was consistent between subgroups stratified by potential confounding factors (all p for interaction > 0.05). VAI exhibited a significant incremental effect on risk stratification for the primary endpoint beyond existing risk scores, expressed as increased Harrell's C-index, significant continuous net reclassification improvement, and significant integrated discrimination improvement. Conclusion: VAI is a significant indicator for predicting worse prognosis and plays an important role in risk stratification among patients with NSTE-ACS and T2DM undergoing elective PCI. The present findings require further large-scale, prospective studies to confirm.

Associations between traditional and non-traditional anthropometric indices and cardiometabolic risk factors among inpatients with type 2 diabetes mellitus: a cross-sectional study

Objective

We aimed to evaluate whether traditional and non-traditional adiposity indicators are associated with cardiometabolic risk factors among adult patients with type 2 diabetes mellitus (DM).

Methods

In this cross-sectional study among 240 inpatients with type 2 DM, we determined traditional anthropometric indicators including body mass index, waist circumference, hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio, and non-traditional anthropometric indicators including lipid accumulation product (LAP), visceral adiposity index (VAI), deep abdominal adipose tissue (DAAT), and Després indices. Lipid profile, fasting blood glucose, glycated hemoglobin (HbA1c), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were measured to evaluate cardiometabolic parameters.

Results

In overweight patients, DAAT was positively correlated with total triglycerides. LAP was negatively correlated with serum HDL-C levels. WHR and DAAT were associated with total triglycerides, HbA1c, total cholesterol, total cholesterol/HDL-C, and total triglycerides/HDL-C, after adjustment for age and duration of disease. VAI, DAAT, LAP, and Després index were significant determinants of lipid profile and SBP.

Conclusion

Traditional and non-traditional anthropometric indices are associated with cardiometabolic risk factors in patients with type 2 DM.

The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis

BACKGROUND AND AIMS

Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis.

METHODS AND RESULTS

We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients.

CONCLUSIONS

VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.

Chinese visceral adiposity index: A reliable indicator of visceral fat function associated with risk of type 2 diabetes

BACKGROUND

The evidence of the association between Chinese visceral adiposity index (CVAI) and risk of type 2 diabetes mellitus (T2DM) is limited. We explored the association of CVAI with T2DM and directly compared with the predictive power of CVAI with other visceral obesity indices (visceral adiposity index, waist to height ratio, waist circumference and body mass index) based on a large prospective study.

METHODS

We conducted a population-based study of 12 237 Chinese participants. Cox proportional-hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between CVAI and T2DM.

RESULTS

During follow-up (median: 6.01 years), the incidence of T2DM was 3.29, 7.34, 12.37 and 23.72 per 1000 person-years for quartiles 1, 2, 3 and 4 of CVAI, respectively. The risk of T2DM was increased with quartiles 2, 3 and 4 vs quartile 1 of CVAI (HR 2.12 [95% CI 1.50-3.00], 2.94 [2.10-4.13] and 5.01 [3.57-7.04], P_trend  < 0.001). Per-SD increase in CVAI was associated with a 72% increased risk of T2DM (HR 1.72 [95% CI 1.56-1.88]). Sensitivity analyses did not alter the association. The area under receiver operating characteristic curve was significantly higher for CVAI than other visceral obesity indices (all P <.001). Similar results were observed in stratified analyses by sex.

CONCLUSIONS

Our findings show a positive association between CVAI and risk of T2DM. CVAI has the best performance in predicting incident T2DM, so the index might be a reliable and applicable indicator identifying people at high risk of T2DM.

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

OBJECTIVES

We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height ^0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).

DESIGN

Cross-sectional study.

SETTING

Ningxia, China.

PARTICIPANTS

A total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.

METHODS

ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.

RESULTS

The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.

CONCLUSIONS

BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

OBJECTIVE

Cardiometabolic risk prediction algorithms are common in clinical practice. Young people with psychosis are at high risk for developing cardiometabolic disorders. We aimed to examine whether existing cardiometabolic risk prediction algorithms are suitable for young people with psychosis.

METHODS

We conducted a systematic review and narrative synthesis of studies reporting the development and validation of cardiometabolic risk prediction algorithms for general or psychiatric populations. Furthermore, we used data from 505 participants with or at risk of psychosis at age 18 years in the ALSPAC birth cohort, to explore the performance of three algorithms (QDiabetes, QRISK3 and PRIMROSE) highlighted as potentially suitable. We repeated analyses after artificially increasing participant age to the mean age of the original algorithm studies to examine the impact of age on predictive performance.

RESULTS

We screened 7820 results, including 110 studies. All algorithms were developed in relatively older participants, and most were at high risk of bias. Three studies (QDiabetes, QRISK3 and PRIMROSE) featured psychiatric predictors. Age was more strongly weighted than other risk factors in each algorithm. In our exploratory analysis, calibration plots for all three algorithms implied a consistent systematic underprediction of cardiometabolic risk in the younger sample. After increasing participant age, calibration plots were markedly improved.

CONCLUSION

Existing cardiometabolic risk prediction algorithms cannot be recommended for young people with or at risk of psychosis. Existing algorithms may underpredict risk in young people, even in the face of other high-risk features. Recalibration of existing algorithms or a new tailored algorithm for the population is required.

Can High Visceral Adiposity Index Be a Risk Factor for Sexual Dysfunction in Sexually Active Men?

BACKGROUND

To our knowledge, there is no study in the literature that has investigated a cutoff value of the visceral adiposity index (VAI) for erectile dysfunction (ED) in men.

AIM

To show a possible relationship between ED and VAI levels representing adipose tissue dysfunction and to identify a cutoff value of the VAI for ED.

METHODS

This prospective cross-sectional study included 276 participants in 5 groups: non-ED, mild ED, mild-moderate ED, moderate ED, and severe ED. The VAI was calculated. Fasting glucose, triglyceride, high-density lipoprotein, testosterone (T), prolactin, and estradiol were measured. Erectile function, sexual satisfaction, orgasm, desire, and general satisfaction scores were recorded using the International Index of Erectile Dysfunction 1-15 questionnaire. The participants were divided into BMI1 (<25.0), BMI2 (25-29.9), and BMI3 (>30.0) categories based on body mass index (BMI) and WC1 (<94 cm), WC2 (94-102 cm), and WC3 (>102 cm) categories based on waist circumference (WC).

OUTCOMES

The VAI was investigated as an independent risk factor for ED, compared with BMI and WC.

RESULTS

The median VAI progressively increased, but a marked increase was recorded in groups 4 and 5 (P = .001). A significant increase in ED was observed for a VAI score higher than 4.33 (P = .001). Each integer increase of the VAI was associated with a 1.3-fold increased risk of ED. The odds ratio of ED for the VAI = 4.33 was 4.4 (P < .001). The WC and BMI significantly increased as the degree of ED increased (P = .001), but statistical analysis showed a significant decrease only in moderate and severe ED groups (P < .05). Starting from non-ED patients, serum triglyceride increased and high-density lipoprotein decreased progressively in all ED groups (P = .001). T/E₂ slightly reduced as the severity of ED increased (P > .05). T decreased in ED groups (P = .022). Regardless of the ED level, other sexual subdomains decreased in ED patients (P = .001). The ED rates in 3 increasing BMI and WC categories were similar (P > .05). For VAI = 4.33, BMI ≥ 30.0 kg/m², and WC > 102 cm, sensitivity and specificity were 61.2% and 73.8%, 31.6% and 90.5%, and 54.3% and 69.0%, respectively.

CLINICAL IMPLICATIONS

The VAI should be considered as a reliable independent risk factor for ED as a predictor of visceral adipose dysfunction.

STRENGTHS & LIMITATIONS

The main strength is that this is the first study to investigate the association between the VAI and sexual dysfunction in men. The low number of participants is the limiting factor.

CONCLUSION

The findings suggest that the VAI can be used as a reliable independent risk factor marker for ED as a predictor of visceral adipose dysfunction. Bolat MS, Kocamanoglu F, Ozbek ML, et al. Can High Visceral Adiposity Index Be a Risk Factor for Sexual Dysfunction in Sexually Active Men? J Sex Med 2020;17:1926-1933.

Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis

Body roundness index (BRI) is a new anthropometric index developed to predict both body fat and the percentage of visceral adipose tissue. Our aim was to investigate whether BRI is superior to traditional anthropometric indices in predicting metabolic syndrome (MetS). This systematic review and meta-analysis was conducted using Pubmed, Scopus and Web of Sciences databases. The estimated pooled areas under curve (AUCs) for BRI predicting MetS was higher than body mass index (BMI), waist-to-hip ratio (WHR), body shape index (ABSI) and body adiposity index (BAI), similar to waist circumference (WC) and lower than waist-to-height ratio (WHtR). However, the difference between BRI and BMI, WC and WHtR predicting MetS was statistically non-significant. Similar results were found with the summary receiver operating characteristic curve (AUC-SROC). In addition, the non-Chinese population had pooled AUCs greater than the Chinese population for all indices. Pooled ORs showed that BRI is associated with an increased MetS risk. In conclusion, BRI had good discriminatory power for MetS in adults of both sexes from diverse populations (AUC > 0.7; AUC-SROC>0.7). However, WC and WHtR offer the best performance when screening for MetS, and non-significant differences were found with BRI. In contrast, BRI was superior to BMI, WHR, ABSI and BAI in predicting MetS.

Accuracy of Different Indexes of Body Composition and Adiposity in Identifying Metabolic Syndrome in Adult Subjects with Prader-Willi Syndrome

(1) Objective: To compare the accuracy of different indexes of adiposity and/or body composition in identifying metabolic syndrome (MetS) in adult patients suffering from Prader‒Willi syndrome (PWS). (2) Study Design: One hundred and twenty PWS patients (69 females and 51 males), aged 29.1 ± 9.4 years, body mass index (BMI) 36.7 ± 9.9, were evaluated. The following indexes were assessed in each subject: body mass index (BMI), fat-free mass index (FFMI), fat mass index (FMI), tri-ponderal mass index (TMI), waist-to-height ratio (WtHR) and the body mass fat index (BMFI), which adjusts the BMI for the percentage of body fat and waist circumference. Thereafter, a threshold value adjusted for age and sex, which could identify MetS, was calculated for each index. (3) Results: A significant correlation was found among all indexes (p < 0.0001 for all). However, when the area under the curve (AUC) was compared, BMFI performed better than FMI (p < 0.05) and BMI better than TMI (p < 0.05), but only in females. (4) Conclusions: Besides small differences, all the indexes taken into consideration seem to have the same ability to identify MetS in adults with PWS. Consequently, the most easily calculated index, i.e., BMI, should be considered as the best choice. The use of thresholds appropriate for sex and age can further improve its accuracy.

Association between coronary atherosclerosis and visceral adiposity index

BACKGROUND AND AIMS

Visceral obesity is a marker of dysfunctional adipose tissue and ectopic fat infiltration. Many studies have shown that visceral fat dysfunction has a close relationship with cardiovascular disease. For a better identification of visceral adiposity dysfunction, the visceral adiposity index (VAI) is used. Coronary artery calcium score (CACS) is known to have a strong correlation with the total plaque burden therefore provides information about the severity of the coronary atherosclerosis. CACS is a strong predictor of cardiac events and it refines cardiovascular risk assessment beyond conventional risk factors. Our aim was to evaluate the association between VAI and CACS in an asymptomatic Caucasian population.

METHODS AND RESULTS

Computed tomography scans of 460 participants were analyzed in a cross-sectional, voluntary screening program. A health questionnaire, physical examination and laboratory tests were also performed. Participants with a history of cardiovascular disease were excluded from the analysis. Mean VAI was 1.41 ± 0.07 in men and 2.00 ± 0.15 in women. VAI showed a positive correlation with total coronary calcium score (r = 0.242) in males but not in females. VAI was stratified into tertiles by gender. In males, third VAI tertile was independently associated with CACS>100 (OR: 3.21, p = 0.02) but not with CACS>0 after the effects of conventional risk factors were eliminated.

CONCLUSION

VAI tertiles were associated with calcium scores and the highest VAI tertile was an independent predictor for the presence of CACS>100 in males but not in females.

Predicting Metabolic Syndrome by Visceral Adiposity Index, Body Roundness Index and a Body Shape Index in Adults: A Cross-Sectional Study from the Iranian RaNCD Cohort Data

BACKGROUND

The use of anthropometric indices is one of the new and low-cost diagnostic methods of metabolic syndrome (MetS). The present study aimed to determine optimal cutoff points for the visceral adiposity index (VAI), body roundness index (BRI), and a body shape index (ABSI) in the prediction of MetS.

METHODS

This cross-sectional study was performed on 10,000 individuals aged from 35 to 65 years, recruited in Ravansar Non-Communicable Diseases (RaNCD) cohort study, in the west region of Iran, in 2019. MetS was defined according to International Diabetes Federation (IDF) criteria. The receiver operating characteristic (ROC) curve analysis was used to assess predictive anthropometric indices and determine optimal cutoff values.

RESULTS

The optimal cutoff points for VAI were 4.11 (AUC: 0.82; 95% CI: 0.81-0.84) in men and 4.28 (AUC: 0.86; 95% CI: 0.85-0.87) in women to prediction of MetS. The optimal cutoff points for BRI were 4.75 (AUC: 0.75; 95% CI: 0.74-0.77) in men and 6.17 (AUC: 0.62; 95% CI: 0.61-0.64) in women to prediction of MetS. The optimal cutoff points for ABSI were 0.12 (AUC: 0.49; 95% CI: 0.47-0.51) in men and 0.13 (AUC: 0.49; 95% CI: 0.47-0.51) in women to prediction of MetS. The risk of MetS in men and women with a VAI higher than the optimal cutoff point was, respectively, 9.82 and 11.44 times higher than that in those with a VAI lower than the cutoff point.

CONCLUSION

Although VAI might not be very cost-beneficial compared to IDF, our study showed VAI is a better predictor of MetS than BRI in adults. ABSI was not a suitable predictor for MetS.

Abundance of Gut Microbiota, Concentration of Short-Chain Fatty Acids, and Inflammatory Markers Associated with Elevated Body Fat, Overweight, and Obesity in Female Adolescents

BACKGROUND AND AIMS

Overweight is ever more prevalent in the pediatric population, and this cardiometabolic factor can be associated with inflammatory markers, gut microbiota composition, and short-chain fatty acid (SCFA) concentrations. The aim of this study is to evaluate to what extent the abundance of gut microbiota phyla, SCFA concentrations, and inflammatory markers are associated with elevated body fat percentage (BF%), overweight, and obesity in female adolescents.

METHODS

An experimental and comparative study was conducted with 96 girls 14 to 19 years old. They were divided into 3 groups: G1-eutrophic (EUT) and adequate BF%; G2-EUT and high BF%; and G3-overweight (OW) or obese (OB) and high BF%. Waist circumference (WC), waist to height ratio (WtHR), and neck circumference (NC) were analyzed as indicators of central visceral adiposity. The BF% was evaluated by DEXA equipment. A food frequency questionnaire was used to evaluate the main types of food consumed in a week. The abundance of the Firmicutes, Bacteroidetes, and Proteobacteria phyla was measured by real-time polymerase chain reaction (RT-qPCR), and the SFCA concentrations (acetic, butyric, and propionic) were determined by high-performance liquid chromatography (HPLC). The inflammatory markers leptin, tumor necrosis factor-alpha, interleukin-6, and high-sensitivity C-reactive protein (hs-CRP) were assessed.

RESULTS

Female adolescents in groups G2 and G3 had greater central visceral adiposity and leptin concentration than those in group G1. No association was found between gut microbiota phyla abundance and SFCA concentrations in any of the groups. WC and frequency of consumption of oily and fatty foods were associated with Firmicutes abundance and SFCA concentrations. Girls with high WC also had the greatest leptin (p < 0.001) and hs-CRP (p = 0.035) concentrations.

CONCLUSIONS

Inflammatory markers showed association with increased BMI and high BF% in female adolescents. The abundance of Firmicutes was associated with WC and NC, but not with BMI classification or BF%. Specifically, WC and the consumption of oils and fats showed correlation with SCFA concentrations. Different anthropometric indicators, such as NC and WC, should be incorporated into the clinical evaluation of the nutritional status of individuals in the adolescent population.

Ghrelin forms in the modulation of energy balance and metabolism

Ghrelin is a gastric hormone circulating in acylated (AG) and unacylated (UnAG) forms. This narrative review aims at presenting current emerging knowledge on the impact of ghrelin forms on energy balance and metabolism. AG represents ~ 10% of total plasma ghrelin, has an appetite-stimulating effect and is the only form for which a receptor has been identified. Moreover, other metabolic AG-induced effects have been reported, including the modulation of glucose homeostasis with stimulation of liver gluconeogenesis, the increase of fat mass and the improvement of skeletal muscle mitochondrial function. On the other hand, UnAG has no orexigenic effects, however recent reports have shown that it is directly involved in the modulation of skeletal muscle energy metabolism by improving a cluster of interlinked functions including mitochondrial redox activities, tissue inflammation and insulin signalling and action. These findings are in agreement with human studies which show that UnAG circulating levels are positively associated with insulin sensitivity both in metabolic syndrome patients and in a large cohort from the general population. Moreover, ghrelin acylation is regulated by a nutrient sensor mechanism, specifically set on fatty acids availability. These recent findings consistently point towards a novel independent role of UnAG as a regulator of muscle metabolic pathways maintaining energy status and tissue anabolism. While a specific receptor for UnAG still needs to be identified, recent evidence strongly supports the hypothesis that the modulation of ghrelin-related molecular pathways, including those involved in its acylation, may be a potential novel target in the treatment of metabolic derangements in disease states characterized by metabolic and nutritional complications.Level of evidence Level V, narrative review.

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m². The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

Relationship between body-roundness index and metabolic syndrome in type 2 diabetes

Background: The present study evaluated the relationship between body-roundness index (BRI) and metabolic syndrome (MetS) in type 2 diabetes. Methods: A cross-sectional study was conducted on 585 type 2 diabetes in Qinhuangdao. MetS was defined as per the Chinese Diabetes Society. Results: The BRI was strongly associated with the odds of having MetS in both males and females after adjustment for age, history of diabetes, and body-mass index (P<0.05). AUC of the BRI were 0.824 for males and 0.775 for females (P<0.001). The optimal cutoff points for the BRI were 3.85 in males (sensitivity 76.5%, specificity 82.1%) and 4.05 in females (sensitivity 76.4%, specificity 70.3%). Conclusion: The BRI was correlated with MetS and was an effective indicator for the screening of MetS in type 2 diabetes.