Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation

BACKGROUND

Most forms of obesity are associated with chronic diseases that remain a global public health challenge.

AIMS

Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation.

MATERIALS AND METHODS

This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood.

RESULTS

The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies.

DISCUSSION

The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity.

CONCLUSION

This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.

Evaluation of cardiovascular risk factors in children aged 6-16 years and their evolution in early adulthood in a 10-year follow-up study

OBJECTIVE

Obesity and arterial hypertension (AH) in children represent well-recognized risk factors for cardiovascular (CV) events during adult life. We investigated any changes regarding several CV risk (CVR) factors in children after a 10-year follow-up period.

METHODS

A cohort of 143 healthy children, elementary/high school students, 6-16 years old, was initially evaluated in 2010-2011 regarding CVR factors [obesity, blood pressure (BP), aortic stiffness (PWV), lipid profile] plus food habits/sports activity. At 10-years follow-up (2020-2021), 63/143 (44%) young adults were re-evaluated.

RESULTS

Children with obesity (45%) had increased BP (p < 0.001) and a less favorable LDL-C/triglycerides profile (p = 0.001) compared to overweight/normoweight ones. In a 10-year follow-up, obesity and exercise improved (p < 0.001 and p = 0.005), systolic BP (SBP) (102 ± 13 vs. 118 ± 11 mmHg, p < 0.001) and PWV increased (6.1 ± 1 vs. 7.7 ± 1.1 m/sec, p < 0.001), LDL-C (96 ± 21 vs. 86 ± 24 mg/dl, p = 0.004) and HDL-C + (64 ± 18 vs. 55 ± 10 mg/dl, p < 0.001) decreased, triglycerides increased (62 ± 21 vs. 73 ± 34 mg/dl, p = 0.04), and food approached the western model of nutrition (less fish/fruits). In children/young adults, BMI was associated with age (Beta = 0.47, p < 0.001 and Beta = 0.36, p = 0.004), SBP (Beta = 0.46 and Beta = 0.52, p < 0.001), and LDL-C (Beta = 0.27 and Beta = 0.44, p < 0.001).

CONCLUSIONS

In children with obesity, increased BMI and waist circumference were related to SBP and a less favorable lipid profile. At the 10-year re-evaluation, obesity was partially improved, physical activity was increased, and SBP had reached the high-normal levels in a substantial number of young adults, while lipid profile was less favorable (for HDL-C/triglycerides) compared to baseline evaluation. Our results highlight the evolution of CVR factors from childhood to early adulthood.

Comparison of central obesity prevalence among adults living with and without HIV in Botswana: a cross-sectional study

OBJECTIVES

The aim was to establish the community prevalence of central obesity in Botswana and assess its association with HIV status.

DESIGN

We performed a one-time central obesity assessment nested within a community-based cluster-randomised controlled HIV treatment and prevention trial (Botswana Combination Prevention Project (BCPP)) conducted in Botswana.

SETTING

The BCPP enrolled consenting adults from a random sample of 20% of households in 30 rural/peri-urban communities.

PARTICIPANTS

A subset of participants from 22 communities was selected for a nested central obesity study.

PRIMARY AND SECONDARY OUTCOME MEASURES

Central obesity was defined as a waist-to-hip ratio (WHR)>0.90 for males and >0.85 for females or as a waist circumference (WC) ≥94 cm for males and ≥80 cm for females. A modified Poisson regression model was used to ascertain the association between central obesity and HIV status. Additionally, the same model was used to estimate the adjusted prevalence ratio (aPR) for central obesity among participants with missing waist and hip measurements by applying inverse probability weighting, and then adjusting for sex and age in the final multivariate models.

RESULTS

Of the 3981 adults, 2039 (51%) completed central obesity assessment (67% female, 29% people living with HIV and median age 35.4 years (IQR 26.4-48.3 years). Central obesity prevalence was 43.5% (95% CI 41.4% to 45.7%) and 50.8% (95% CI 48.6% to 52.9%) as defined by WHR and WC, respectively, and was higher among females than males by WHR (46.9% (95% CI 44.2% to 49.5%) vs 36.7% (95% CI 33.1% to 40.4%)) and WC 68.5% ((95% CI 65.9% to 70.9%) vs 15.1% (95% CI 12.4% to 17.8%)) and increased with age. In fully adjusted models, there was no difference in central obesity by HIV status for both WHR and WC, aPR 0.99 (95% CI 0.90 to 1.09), p value 0.88, and 0.93 (95% CI 0.85 to 1.01), p value 0.06, respectively.

CONCLUSION

Over two-thirds of adult females in Botswana had central obesity; however, living with HIV was not consistently associated with central obesity.

TRIAL REGISTERATION NUMBER

NCT01965470.

Inequality of Opportunity in Body Mass: Evidence From Australia

This paper extends current knowledge about inequality of opportunity in body mass in Australia. Drawing on 2013 and 2017 Household, Income, and Labour Dynamics in Australia survey data, our empirical strategy comprises of mean-based and unconditional quantile regression techniques. We find that inequality of opportunity accounts for a non-trivial share of body mass inequality. Our results based on waist-to-height ratio reveal estimates of 10%-14%, which are much larger than previously published estimates based on body mass index (BMI). Our estimates are lower-bound values based on 13 observable circumstance variables. Relaxing the homogeneity assumption, for instance, increases estimates by 1.7-3 percentage points. Applying the Shapley-Shorrocks decomposition procedure, age and parents' socio-economic status are identified as leading circumstance factors. This finding is refined when quantiles of the body mass distribution are evaluated. Age's role is diminished at the clinically risky upper quantiles. By contrast, parents' socio-economic status is the single most important circumstance factor at the upper quantiles. Investigating by gender groups, inequality of opportunity is greater among women than men, with parents' socio-economic status playing a critical role in this disparity. Taking a life course perspective, circumstances' influence shows weakening over time, while effort is more impactful at later life stages. Overall, our findings underscore that anti-obesity campaigns should tackle early life social inequality, in addition to empowering personal responsibility later in life.

Waist-to-Height Ratio, Waist Circumference, and Body Mass Index in Relation to Full Cardiometabolic Risk in an Adult Population from Medellin, Colombia

Background/Objectives: Few studies have compared the associations of different adiposity markers with cardiometabolic risk factors in individuals without diabetes or cardiovascular disease (CVD), particularly in South America. Moreover, the associations with more severe cardiometabolic risk, defined by the simultaneous presence of altered glycemia, blood pressure, and dyslipidemia, remain unknown. We examined whether the waist-to-height ratio (W-HtR), waist circumference (WC), and BMI were independently associated with cardiometabolic risk in a chronic disease prevention program in Medellín, Colombia. Methods: A cross-sectional study was conducted in 29,236 adults (age: 19-121 years) without diabetes or CVD. Exposures included increased W-HtR (>0.5), increased WC (≥80 cm for women, ≥90 cm for men), and overweight/obesity. The outcomes were dyslipidemia, elevated glycemia, high blood pressure, and full cardiometabolic risk (FCMR), defined as the presence of all three factors. Logistic regressions adjusted for sociodemographic and lifestyle covariates and additional adiposity markers were used. Cubic spline analyses examined the shape of associations. Results: Most individuals were over 40 years old (97.6%), only 40 were ≥100 years, and 16.5% (n = 4821) had FCMR. Increased W-HtR tripled the odds of FCMR compared with normal W-HtR (OR: 3.04, 95%CI: 2.45-3.77, p < 0.001). Increased WC doubled the odds of FCMR (p < 0.001). W-HtR remained the strongest predictor after adjusting for WC (OR: 1.99, 95%CI: 1.59-2.50) and BMI (OR: 2.48, 95%CI: 1.99-3.08). Cubic spline analyses showed a linear association between W-HtR and FCMR, whereas the BMI-FCMR association plateaued at approximately 30 kg/m2. Conclusions: In this cross-sectional study of a large middle-to-older-aged cohort, W-HtR was the strongest adiposity marker correlated with cardiometabolic risk.

Evaluation of Waist-Calf Circumference Ratio to Assess Sarcopenia in Older Patients with Chronic Low Back Pain: A Retrospective Observational Study

Purpose

Chronic low back pain is prevalent among older adults, who are at a higher risk for sarcopenia. The waist-to-calf circumference ratio has emerged as a health indicator, reflecting the balance between central adiposity and muscle mass. This study examined the association between waist-to-calf circumference ratio and sarcopenia, as well as factors like muscle mass, strength, and physical performance in older patients with chronic low back pain.

Patients and Methods

Ambulatory patients aged 65 years and older with chronic low back pain were included. Sarcopenia was assessed using the 2019 diagnostic criteria from the Asian Working Group for Sarcopenia. We compared demographic data, pain-related factors, comorbidities, and measurements related to sarcopenia and obesity across quartiles of the waist-to-calf circumference ratio. The prevalence of sarcopenia and severe sarcopenia was investigated, and multivariable analysis was conducted to identify independent factors associated with sarcopenia.

Results

Among 592 patients, 85 had sarcopenia (14.3%), and 71 had severe sarcopenia (11.9%). Patients with a high waist-calf circumference ratio had more comorbidities and longer pain duration. The prevalence of severe sarcopenia increased with higher quartile of waist-calf circumference ratio (Q1=7.9%, Q2=8.6%, Q3=14.8%, Q4=16.9%, P=0.006). When recommended cut-off values for the parameters used to diagnose sarcopenia were applied, the numbers of patients with low grip strength and low physical performance but not low muscle mass were greater among patients with a high waist-calf circumference ratio. Also, a high waist-calf circumference ratio was significantly associated with severe sarcopenia.

Conclusion

In older patients with chronic low back pain, a high waist-calf circumference ratio was associated with severe sarcopenia, characterized by reduced muscle strength and impaired physical performance. The waist-calf circumference ratio might serve as a useful tool for assessing sarcopenia in this population.

American Society for Metabolic and Bariatric Surgery review of the body mass index

The body mass index was first described almost 200 years ago and has since been used as a measure of obesity. This review describes the history, advantages, disadvantages, and alternatives to the body mass index in the care of the metabolic and bariatric surgical patient.

Independent Predictors of Circulating Trimethylamine N-Oxide (TMAO) and Resistin Levels in Subjects with Obesity: Associations with Carotid Intima-Media Thickness and Metabolic Parameters

Background: Obesity contributes to cardiometabolic risk, including subclinical atherosclerosis and insulin resistance. This study examines the predictive roles of trimethylamine N-oxide (TMAO) and resistin in relation to carotid intima-media thickness and metabolic parameters; Methods: Sixty adults (18-71 years) with varying body weights were assessed for body composition, subclinical atherosclerosis, and blood biomarkers, including TMAO and resistin; Results: TMAO correlated strongly with CIMT (r = 0.674, p < 0.001), indicating its role in subclinical atherosclerosis. Logistic regression identified TMAO (threshold 380; AUC = 0.880, accuracy = 91.7%) as a predictor of cardiometabolic risk. Resistin was associated with CIMT, WHR, and total cholesterol, inversely linked to LDL cholesterol (p = 0.003). Less active participants exhibited higher TMAO (p = 0.001) and resistin (p = 0.02). Family histories of obesity and diabetes correlated with elevated TMAO, while resistin linked to shorter sleep duration and diabetes history, highlighting their importance in obesity-related cardiometabolic risks; Conclusions: TMAO is strongly linked to abdominal fat, insulin resistance, and subclinical atherosclerosis, while resistin is associated with lipid metabolism and aging. Their combined assessment enhances the prediction of obesity-related cardiometabolic risk, supporting their role in risk stratification and targeted interventions.

Sedentary work and expanding waistlines: a cross-sectional study on occupational roles and abdominal obesity in India

BACKGROUND

Low- and middle-income countries are undergoing epidemiological and demographic transitions alongside economic growth, contributing to a rise in abdominal obesity. In India, the increase in sedentary occupations and insufficient physical activity are key drivers of this growing health concern. This study investigates the relationship between occupational types and abdominal obesity markers in well-characterised adults, accounting for a wide range of confounders.

METHODS

Using a nationally representative sample of 99,653 women and 91,990 men, occupations were categorised into sedentary work (SW), non-sedentary work (NSW), and not working (NW). Two outcomes were assessed: abdominal obesity, measured via waist-to-hip ratio (WHR) using WHO cutoffs, and a higher-risk threshold of WHR ≥ 1. Bivariate analyses and multivariable logistic regression, adjusted for socioeconomic and demographic factors, were conducted to evaluate the risk of abdominal obesity by occupation type.

RESULTS

Among women, abdominal obesity prevalence based on WHO criteria was 56% (95% CI: 55.60-56.46), highest in NW (57.3%; 95% CI: 56.80-57.83), followed by SW (57.1%; 95% CI: 55.39-58.78) and NSW (51.5%; 95% CI: 50.63-52.43). Among men, prevalence was 48.9% (95% CI: 48.31-49.46), highest in SW (57.8%; 95% CI: 56.51-59.14), followed by NSW (49.9%; 95% CI: 49.15-50.63) and NW (37.3%; 95% CI: 36.14-38.43). Adjusted odds of abdominal obesity were significantly higher for SW compared to NSW (women: aOR 1.08, 95% CI: 1.02-1.14; men: aOR 1.20, 95% CI: 1.16-1.25).

CONCLUSIONS

High prevalence of abdominal obesity among both men and women implies an emerging health risk in India. The findings that contributed to associations between sedentary occupation and abdominal obesity may inform occupation-related health risks and development of interventions to limit daily sitting at work place which may reduce metabolic disease risk.

The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients

Obesity and pre-diabetes are metabolic disorders associated with insulin resistance (IR). Excess epicardial adipose tissue is also associated with increased IR. The triglyceride-glucose index (TyG) has been evaluated as an alternative measure of the IR in a variety of metabolic and cardiovascular disorders. However, its relationship with EAT thickness has not been studied yet. The study included 176 prediabetic and obese patients. EAT thickness was assessed using echocardiography. EAT thickness, TyG index, anthropometric obesity indices (body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR)), homeostatic model assessment (HOMA-IR), and biochemical parameters were compared. The following correlations between EAT thickness and related parameters were observed: WC (r = .529), BMI (r = .514), ALT (r = .358), TyG index (r = .338), and HOMA-IR (r = .322; P < .001 for all). Multiple regression analysis showed that WC (Beta = .428; P = .004), age (Beta = .223; P < .001), BMI (Beta = .196; P = .029), ALT (Beta = .168; P = .012), and TyG index (Beta = .128; P = .049) were the strongest independent variables correlated with EAT thickness. A model based on WC, BMI, age, TyG index, and ALT provided the best R-square (.387) for estimating EAT thickness (P < .001). The TyG index showed a significant and independent relationship with EAT, suggesting that it may be useful as an indicator of EAT thickness.

Weight-adjusted-waist index is associated with increased risk of sleep disturbances in the U.S. adult population: an analysis of NHANES 2007-2012

OBJECTIVE

The weight-adjusted-waist index (WWI) is a novel measure of central adiposity, potentially linked to various sleep disturbances. This study explores the relationship between WWI and sleep outcomes, such as trouble sleeping, sleep disorder, and sleep duration.

METHODS

Data from the National Health and Nutrition Examination Survey 2007-2012 were analyzed, including 13,494 participants. The analysis focused on individuals aged 20 years and older who provided information on WWI and sleep. Sleep status was determined based on responses to the following questions: (1) "How many hours do you sleep?"; (2) if they reported trouble sleeping; and (3) if they had physician-diagnosed sleep disorders. Regression models assessed the association between WWI and sleep outcomes across the entire population and within subgroups. Restricted cubic spline (RCS) analysis was conducted to examine potential non-linear relationships between WWI and sleep outcomes.

RESULTS

A higher WWI was significantly correlated with an increased likelihood of trouble sleeping (OR = 1.26, 95% CI: 1.16, 1.36; p < 0.001) and sleep disorder (OR = 1.71, 95% CI: 1.50, 1.95; p < 0.001) in the overall population. RCS analysis indicated a linear relationship between WWI and these sleep outcomes. Subgroup analysis identified that the connection between WWI and trouble sleeping was most pronounced among Non-Hispanic Blacks and individuals with lower educational levels. For sleep disorder, the association was stronger in males and Non-Hispanic Blacks. A slight negative association between WWI and sleep duration was found, especially among non-drinkers (β = - 0.13, 95% CI: - 0.24, - 0.02; p = 0.028).

CONCLUSION

The findings highlight a significant and linear relationship between elevated WWI and an increased likelihood of experiencing trouble sleeping and sleep disorder, with variations observed across different demographic and lifestyle subgroups. These results imply that central adiposity, as measured by WWI, plays an important role in sleep health.

LEVEL OF EVIDENCE

Level III: Evidence obtained from well-designed cohort or case-control analytic studies.

Metabolic Syndrome in the Amazon: Customizing Diagnostic Methods for Urban Communities

Background/Objectives: Metabolic syndrome is a significant public health issue, particularly in urbanizing regions like the Peruvian Amazon, where lifestyle changes have increased the prevalence of metabolic disorders. This study aimed to develop and validate a simple, cost-effective diagnostic model for early detection of metabolic syndrome in the urban population of San Juan Bautista, Iquitos. Methods: A cross-sectional study was conducted with 251 adults aged over 18 years. Data collection included anthropometric measurements, body composition analysis, and biochemical assessments. Logistic regression analyses identified key predictors of metabolic syndrome, and clinical decision trees were developed to enhance diagnostic accuracy. Results: The prevalence of metabolic syndrome was 47.9%. Systolic blood pressure, triglycerides, and very-low-density lipoprotein cholesterol were the strongest predictors. The most effective diagnostic model, combining very-low-density lipoprotein cholesterol and systolic blood pressure, achieved a sensitivity of 91.6% and a specificity of 78.5%, demonstrating high diagnostic accuracy. Conclusions: The proposed model offers a practical, low-cost tool for early detection of metabolic syndrome in resource-limited urban settings. However, its findings are limited by the small sample size and the lack of external validation, requiring further studies to confirm its generalizability and applicability to other populations. Its implementation in primary healthcare could facilitate timely interventions, reducing the risk of chronic diseases in vulnerable populations.

Influence of Insertion/Deletion Polymorphism of the Angiotensin Converting Enzyme Gene on Adiposity and Cardiac Function in Patients with Heart Failure

BACKGROUND

The angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism (rs4340) is associated with the pathogenesis of heart failure (HF). This polymorphism may contribute to a greater propensity for severe HF and excess weight.

OBJECTIVE

To evaluate adiposity, cardiac function, and their association with ACE I/D polymorphism in HF patients.

METHODS

Cross-sectional study with ambulatory individuals ≥18 years diagnosed with HF. Genetic analysis was performed using polymerase chain reaction followed by agarose gel electrophoresis. Left ventricular ejection fraction (LVEF) was determined by echocardiography. Nutritional status was assessed using body mass index, while adiposity was analyzed using bioelectrical impedance analysis (BIA), waist circumference, waist-to-hip ratio, and waist-to-height ratio. The adopted significance level was 5% (p < 0.05).

RESULTS

Seventy-one individuals were included, with a mean age of 55.8 ± 13.0 years, predominantly male (66.2%), with functional class I and II (90.9%), and a median LVEF of 30% (24-40). The prevalence of overweight was 38%, class I obesity was 23.9%, and class II and III obesity was 12.7%, with 50.7% exhibiting excess adiposity as assessed by BIA. A total of 88 D alleles and 54 I alleles of the ACE gene were identified. Regarding ACE genotypes, 38.1% were DD, 47.8% were ID, and 14.1% were II. In the multivariate analysis, the D allele (DD + ID genotypes versus II) was associated with LVEF (PR 0.995; 95% CI 0.991-1.000; p = 0.048) and with the etiology of HF (dilated cardiomyopathy: PR 1.283; 95% CI 1.039-1.583; p = 0.021). No independent association was found with adiposity.

CONCLUSION

The presence of the D allele of the ACE polymorphism is associated with LVEF and HF etiology. Despite overweight being prevalent in the sample, no independent associations were found.

Chinese Visceral Adiposity Index Trajectory and Stroke in Prediabetes and Diabetes: A Prospective Cohort Study

AIMS

Stroke is a common diabetic complication, by which the Chinese visceral adiposity index (CVAI) is confirmed as a better predictor of visceral fat. However, the relationship between CVAI change and the stroke risk among patients with diabetes and prediabetes remains unclear. Therefore, we aimed to examine the association of CVAI trajectory with the risk of stroke.

MATERIALS AND METHODS

This prospective cohort study included 11,339 patients with prediabetes and diabetes from the Kailuan study. These participants had complete repeated metabolic and body measurements that formed the continuous CVAI records. The stroke cases were identified by medical records. Latent mixture modelling was conducted to fit four groups of CVAI trajectories. Cox proportional hazard regression models were used to examine the associations between CVAI trajectories and the risk of stroke and its subtypes.

RESULTS

Four distinct CVAI trajectories were identified: the low-stable, moderate low-stable, moderate high-stable, and high-increasing groups. Compared with low-stable CVAI, moderate high-stable (HR: 1.50, 95%CI: 1.10-2.04) and high-increasing CVAI (HR: 2.15, 95%CI: 1.49-3.10) were positively associated with the risk of stroke. Similarly, moderate high-stable (HR: 1.70, 95%CI: 1.21-2.39) and high-increasing CVAI trajectory groups (HR: 2.53, 95%CI: 1.71-3.73) had an increased risk of ischaemic stroke compared with the low-stable CVAI group. However, a significant association was not found between CVAI trajectory and risk of haemorrhage stroke.

CONCLUSION

A long-term elevated CVAI is associated with a higher risk of stroke, especially ischaemic stroke. This finding suggests the health benefits of low CVAI levels and the importance of regular surveillance among patients with prediabetes and diabetes.

Ultrasonography-based prediction of carotid artery atherosclerosis using multiple abdominal fat indices

AIM

Abdominal obesity is recognized as the best predictor of cardiovascular disease risk. While body mass index has traditionally been used to measure obesity, recent evidence suggests that visceral adipose tissue may be a better indicator of cardiovascular disease risk. Various surrogate imaging markers of visceral adipose tissue have recently been described, such as posterior right perinephric fat thickness, preperitoneal fat thickness, and the abdominal wall fat index. This study aimed to examine the link between atherosclerosis through measurement of carotid intima-media thickness and markers of abdominal obesity using ultrasonography.

MATERIAL AND METHODS

This was a hospital-based prospective observational study. Patients with a body mass index of 25-40 were included as cases and those with a body mass index 18.0-24.9 as controls. Posterior right perinephric fat thickness, preperitoneal fat thickness, and abdominal wall fat index were measured and compared with carotid intima-media thickness in cases.

RESULTS

A total of 100 cases and 100 age- and sex-matched controls were included. Body mass index did not show any statistically significant correlations with carotid intima-media thickness in this study. Among the visceral adiposity markers, posterior right perinephric fat thickness was the most sensitive and specific predictor of carotid intima-media thickness, while the abdominal wall fat index was the least sensitive and specific.

CONCLUSIONS

Ultrasonographic markers of visceral adipose tissue, especially posterior right perinephric fat thickness and preperitoneal fat thickness, demonstrate a stronger association with carotid atherosclerosis than body mass index, making them useful predictors, particularly in individuals with high body mass index. These markers can be measured during routine abdominal ultrasounds to screen for atherosclerosis risk in patients with abdominal obesity.

The effect of a new developed synbiotic yogurt consumption on metabolic syndrome components in adults with metabolic syndrome: a randomized controlled clinical trial

BACKGROUND

Studies have proposed that probiotic intake may ameliorate some of the clinical components of metabolic syndrome (MetS). This study aimed to determine the effects of a new developed synbiotic yogurt containing Lactobacillus plantarum, Lactobacillus pentosus, and Chloromyces marcosianos yeast on the components of MetS in adults with MetS.

METHODS

In this randomized, placebo-controlled, clinical trial, 44 participants were divided into two groups to receive 300 grams of synbiotic yogurt or regular yogurt daily for 12 weeks. Anthropometric measurements, blood pressure, and biochemical parameters evaluated before and after the intervention.

RESULTS

Daily consumption of synbiotic yogurt containing L. plantarum, L. pentosus, and C. marcosianos yeast in adults with MetS caused a significant decrease in the levels of fasting blood glucose (FBG) (p = 0.005), fasting insulin (p = 0.001), homeostatic model assessment for insulin resistance (HOMA-IR) index (p < 0.001), waist to hip ratio (WHR) (p = 0.02) and systolic blood pressure (p = 0.008) in the intervention group compared to the control group.

CONCLUSIONS

According to the findings of this study, daily consumption of the synbiotic yogurt was associated with improvements in insulin resistance, systolic blood pressure and WHR, which could be beneficial in patients with MetS.

Assessing the prevalence of obesity in a Russian adult population by six indices and their associations with hypertension, diabetes mellitus and hypercholesterolaemia

The anthropometric index that best predicts cardiometabolic risk remains inconclusive. This study therefore assessed the prevalence of obesity using six indices and compared their associations with obesity-related cardiometabolic disorders. We determined obesity prevalence according to body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio (WHtR), body fat percentage and fat mass index (FMI) using data from the Know Your Heart study (n = 4495, 35-69 years). The areas under the receiver operating characteristic curves (AUCs) provided predictive values of each index for detecting the presence of hypertension, hypercholesterolaemia and diabetes. Age-standardised obesity prevalence significantly varied according to anthropometric index: from 17.2% (FMI) to 75.8% (WHtR) among men and from 23.6% (FMI) to 65.0% (WHtR) among women. WHtR had the strongest association with hypertension (AUC = 0.784; p < 0.001) and with a combination of disorders (AUC = 0.779; p < 0.001) in women. In women, WHtR also had the largest AUCs for hypercholesterolaemia, in men - for hypertension, diabetes and a combination of disorders, although not all the differences from other obesity indices were significant. WHtR exhibited the closest association between hypertension and a combination of disorders in women and was non-inferior compared to other indices in men.

Prevalence Rates of Abdominal Obesity, High Waist-to-Height Ratio and Excess Adiposity, and Their Associated Cardio-Kidney-Metabolic Factors: SIMETAP-AO Study

BACKGROUND/OBJECTIVE

In addition to obesity, adiposity and abdominal obesity (AO) are parameters included in the cardiovascular-kidney-metabolic (CKM) syndrome. However, their prevalence and association with the other CKM factors have been less studied. Our study aimed to determine the prevalence rates of AO, high waist-to-height ratio (WtHR), and excess adiposity (EA), and to compare their associations with CKM factors.

METHODS

A cross-sectional observational study was conducted with a random population-based sample of 6,588 study subjects between 18 and 102 years of age. Crude and sex- and age-adjusted prevalence rates of AO, high-WtHR, and EA were calculated, and their associations with CKM variables were assessed by bivariate and multivariate analyses.

RESULTS

The adjusted prevalence rates for AO, high-WtHR, and EA were 39.6% (33.6% in men; 44.9% in women), 30.6% (31.1% in men; 30.6% in women), and 65.6% (65.6% in men; 65.3% in women), respectively, and they increased with age. The main independent factors associated with AO, high-WtHR, and EA were hypertension, diabetes, prediabetes, low HDL-C, hypercholesterolaemia, hypertriglyceridemia, physical inactivity, hyperuricemia, and chronic kidney disease.

CONCLUSIONS

Two-thirds of the adult population have EA, one-third have AO, and one-third have high-WtHR. These findings support that the other factors of CKM syndrome, in addition to hyperuricemia and physical inactivity, show an independent association with these adiposity-related variables.

Associations between various anthropometric indices and hypertension and hyperlipidaemia: a cross-sectional study in China

BACKGROUND

This study aims to explore the association and determine the distinguished potential of anthropometric adiposity indices in screening for hypertension and hyperlipidaemia in the Chinese population.

METHODS

A recent nationwide cross-sectional study, called the Thyroid Disorders, Iodine State, and Diabetes Epidemiological Survey (TIDE 2015-2017), provided the newest data on the relationships between anthropometric adiposity indices and hypertension and hyperlipidaemia and included 65,231 subjects. The area under the curve (AUC) was used to assess the feasibility of using these indices to distinguish hypertension and hyperlipidaemia. After age stratification, a restricted cubic spline (RCS) fitted for generalized linear regression was used to visualize the relationships of the body mass index (BMI), waist circumference (WC), the waist-to-height ratio (WHtR), the body roundness index (BRI), and the "a body shape index" (ABSI) with hypertension and hyperlipidaemia.

RESULTS

The results showed that there were significant differences in the BMI, WC, the WHtR, the BRI, and the ABSI among the different age groups (P < 0.0001). After adjusting for sex, age, education, income, smoking status, urban or rural residence, and ethnicity in model, The WHtR and BRI had greater discriminatory power in identifying hypertension (AUC = 0.665, 95% confidence interval (CI) 0.660-0.671 for both), hypercholesterolaemia (AUC = 0.629, 95% CI 0.624-0.634 for both), and high low-density lipoprotein cholesterol (LDL-C; AUC = 0.659, 95% CI 0.653-0.664 for both) status in the overall population. When distinguishing hypertriglyceridaemia among the general population, the BMI (AUC = 0.711, 95% CI 0.706-0.716) and WC (AUC = 0.715, 95% CI 0.710-0.720) had greater discriminatory ability than the other anthropometric indices did. The BMI (AUC = 0.631, 95% CI 0.625-0.637) had the highest power for low high-density lipoprotein cholesterol (HDL-C) status in the general population.

CONCLUSIONS

Several anthropometric indices show significant correlation with hypertension and hyperlipidaemia. The WHtR and BRI were better in distinguishing hypertension, hypercholesterolaemia and high LDL-C status, while the BMI was better in hypertriglyceridaemia and low HDL-C status. The use of combined indices, such as the BMI, WC, the WHtR and the BRI, can be included in an individual's medical history and can be used as tools for cardiovascular health screening, which may yield superior results for public health.

Associations between anthropometric indices as complementary predictors and incidence of type 2 diabetes; Panasonic Cohort Study 21

AIMS

To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.

METHODS

This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.

RESULTS

8,800 developed type 2 diabetes during the study period. The area under the ROC curve for the WHtR was high (0.717, 95 % confidence interval [CI]: 0.710-0.724), with cut-off value of 0.497 in men, while those for wBMI (0.829, 95 % CI: 0.808-0.848) and WHtR (0.826, 95 % CI: 0.806-0.845) were high in women, with cut-off values of 18.6 kg/m and 0.510, respectively. It was also showed WHtR was the most effective in men, while WHtR and wBMI outperformed WC and were comparable to BMI in women for predicting type 2 diabetes.

CONCLUSIONS

WHtR demonstrated superior effectiveness in predicting type 2 diabetes in men, while both WHtR and wBMI showed higher effectiveness than WC and were almost equivalent to BMI in women.

Investigating the efficiency of novel indicators in predicting risk of metabolic syndrome in the Iranian adult population

BACKGROUND

Whether new anthropometric indicators are superior to conventional anthropometric indicators and whether they can better identify MetS in apparently healthy people needs further research. Thus, this study aimed to estimate the efficiency of novel indicators in predicting the risk of metabolic syndrome (MetS) in the Iranian adult population.

MATERIAL AND METHODS

In this cross-sectional study, 800 subjects were selected by clustered random sampling. The metabolic factors, traditional and novel anthropometric indices, the triglyceride and glucose index (TyG index) and modified TyG indices (TyG-BMI, TyG-WC, TyG-WHR, and TyG-WHtR), and metabolic score for insulin resistance (METS-IR) were evaluated. The MetS was calculated according to the IDF criteria. To investigate the risk of MetS, logistic regression was used along with modeling.

RESULTS

In all three models, all traditional anthropometric indices were associated with MetS (P < 0.001). Regarding novel anthropometric indices, all indices (except for ABSI) significantly predicted the risk of MetS in all participants before and after adjustment (P < 0.001). WTI index presented the highest Odds ratios for MetS (29.50, 95% CI: 15.53-56.03). A positive association was found in all models between TyG and modified TyG indices and METS-IR with MetS (P for all < 0.001). TyG-WHtR index presented the highest Odds ratios for MetS (70.07, 95% CI: 32.42-151.43).

CONCLUSION

A combination of the TyG index and WHtR (TyG-WHtR index) was better than the TyG index alone, with a higher odds ratio in predicting MetS. Due to the simplicity of these indices, cost-effectiveness, and facility at small-scale labs and being predictive of MetS risk it is suggested to include these markers in clinical practice.

Combined oral contraceptive use and obesity in women with polycystic ovary syndrome. A meta-analysis of randomized clinical trials

BACKGROUND

Polycystic ovary syndrome (PCOS) is a heterogenous endocrine condition and combined oral contraceptives (COCs) have been demonstrated to be the first-line treatment to women who do not intend to become pregnant. The combination of COCs and PCOS may or may not amplify the risks of cardiovascular events.

OBJECTIVE

To investigate whether surrogates for obesity may be influenced by the use of COCs containing different formulations in women with PCOS.

METHOD

From January 2024 a literature search was conducted in Google Scholar and Pubmed databases using PCOS, COC, and obesity terms. Hand search of randomized clinical trials in the references of obtained manuscripts was also performed. After the exclusion of reviews and articles that did not fulfill eligibility criteria, compared the results obtained before and after the use of COCs in 13 randomized clinical trials (RCTs). Random-effects model was used to estimate the standardized mean differences (SMD) and standard errors (SE). Risk of bias was examined using the Rob2 tool.

RESULT

Thirteen heterogeneous RCTs reported no difference in waist circumference with the use of different COC formulations (p = 0.714). On the contrary, body fat mass increased with the use of pill (p = 0.013). Waist triglyceride index and lipid accumulation product tended to be higher after the use of COCs (p = 0.073 and p = 0.064, respectively).

CONCLUSION

Combined oral contraceptives with different formulations might increase fat mass accumulation in women with PCOS. Lipids may also be increased in PCOS users. Because some concerns about the quality and heterogeneity identified in various RCTs, caution should be taken before a definitive conclusion regarding the use of COCs and obesity.

Increased central obesity correlates with physical activity and food processing in recently diagnosed multiple sclerosis

BACKGROUND

Environmental and lifestyle factors are associated with an increased risk of Multiple Sclerosis (MS). Metabolic syndrome (MetS) contributes to systemic inflammation, which is associated with poorer MS disease evolution. We compared persons with MS (PwMS) and controls to assess metabolic and lifestyle parameters associated with MS.

METHODS

We pooled data from two prospective observational studies with the same eligibility criteria, matching PwMS and controls (1:2 ratio) by sex, age, and body mass index (BMI). We compared anthropometric, biological and lifestyle parameters, including sleep and physical activity.

RESULTS

We included 53 PwMS and 106 controls with a median age of 35 years and 79% of women. PwMS had low Expanded Disability Status Scale (median 1.5). Compared to controls, PwMS had increased waist-to-hip (p<0.001) and waist-to-height (p=0.007) ratios, and practiced less physical activity (p=0.03). In regression models, lifestyle factors with the strongest factor loadings to predict central obesity were processed food consumption, and vigorous physical activity.

DISCUSSION

Although both groups were matched by age, sex, and BMI, we found increased central obesity in PwMS. Even with minimal neurological impairment, PwMS practiced less physical activity. This suggests that improvement of lifestyle and metabolic parameters should be targeted in MS.

Hyperandrogenism and anthropometric parameters in women with polycystic ovary syndrome

OBJECTIVE

One of the main features of polycystic ovary syndrome (PCOS) is increased adipose tissue, which can result in hormonal disturbances. In the present study, we aimed to investigate which indicator of obesity could better associate with hormonal disturbances in PCOS women.

METHODS

In this cross-sectional analysis, women with PCOS were included according to the Rotterdam criteria. Fasting blood samples were analyzed for biochemical, metabolic, and hormonal parameters. Anthropometric measures comprised body composition indices (assessed by bioelectric impedance analysis [BIA]), waist circumference, body mass index (BMI), and waist-to-height ratio (WHtR). Linear regression modeling was used to assess the association between anthropometric indices and hormonal imbalance, adjusted for age, mensuration status, and the homeostasis model assessment-estimated insulin resistance (HOMA-IR). Receiver operating characteristics (ROC) curves were utilized to ascertain the sensitivity, specificity, and optimal cut-off points of various anthropometric indices in identifying hyperandrogenism.

RESULTS

A total of 129 PCOS women with a median (interquartile range [IQR]) age of 32.0 (23.0-32.0) years and a median BMI of 26.3 (23.00-29.70) kg/m2 were enrolled. In the adjusted linear regression model, BMI (β = 0.053, P < 0.001), waist circumference (β = 0.021, P = 0.001), WHtR (β = 3.325, P = 0.002), total fat mass (β = 0.021, P = 0.002), trunk fat mass (β = 0.038, P = 0.006), and leg fat mass (β = 0.045, P = 0.004) were positively associated with free androgen index (FAI). In addition, BMI (β=-0.017, P = 0.003), waist circumference (β=-0.008, P = 0.002), WHtR (β=-1.167, P = 0.004), total fat mass (β=-0.008, P=0.003), trunk fat mass (β=-0.017, P=0.001), and leg fat mass (β=-0.018, P=0.004) were negatively associated with the serum level of sex hormone binding globulin (SHBG). WHtR showed the greatest area under the curve (AUC) value (AUC = 0.676, P = 0.001) for identifying hyperandrogenism (FAI ≥ 4.97 or total testosterone ≥ 0.7 ng/mL) in PCOS women with corresponding sensitivity of 87.30% and specificity of 39.70%.

CONCLUSIONS

WHtR is related to hyperandrogenism in PCOS better than other anthropometric measures.

The relationship between cardiometabolic index and infertility in American adults: a population-based study

Background

Infertility is a fertility disorder caused by various factors, with lipid metabolism playing a crucial role in its development. The cardiometabolic index (CMI), which combines blood lipids (TG/HDL-C) and obesity-related parameters (WHtR), is a new quantitative indicator. This study used NHANES data to investigate the relationship between CMI and the incidence of infertility.

Methods

We utilized data from women who took part in the National Health and Nutrition Examination Survey (NHANES) from 2015 to March 2020 to calculate the CMI index. Subsequently, we used multivariate logistic regression, smooth curve fitting, and subgroup analysis to investigate the relationship between the CMI index and infertility.

Results

The logistic regression model revealed a significant positive correlation between the CMI index and infertility, even after adjusting for all confounding variables (OR=3.23, 95%CI: 1.55-6.73, p=0.0017). This association remained consistent across all subgroups (p>0.05 for all interactions). Smooth curve fitting demonstrated a positive nonlinear relationship between CMI and infertility. However, the CMI index had limited diagnostic power for infertility (AUC=0.60, 95%CI: 0.56-0.65). However, the CMI-BMI index combined with BMI had good predictive performance (AUC=0.722, 95%CI: 0.676-0.767).

Conclusion

The CMI index shows a positive correlation with infertility, but its diagnostic value is restricted. The combination with BMI has good diagnostic value. Further investigation is required to determine the effectiveness of the CMI index as an early indicator of infertility.

Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward?

PURPOSE OF REVIEW

This review aims to discuss strengths and limitations of body mass index (BMI) in diagnosing obesity, the use of alternative anthropometric measurements, and potential new technology that may change the future of obesity diagnosis and management.

RECENT FINDINGS

The diagnosis of obesity requires the anthropometric assessment of adiposity. In clinical settings, this should include BMI with confirmation that elevated BMI represents excess adiposity and a measure of fat distribution (i.e., waist circumference (WC), waist to height ratio (WHtR), or WC divided by height0.5 (WHR.5R). Digital anthropometry and bioelectric impedance (BIA) can estimate fat distribution and be feasibly employed in the clinic. In addition, the diagnosis should include a clinical component assessing the presence and severity of weight-related complications. As anthropometric measures used in the diagnosis of obesity, BMI is generally sufficient if confirmed to represent excess adiposity, and there are advantages to the use of WHtR over WC to assess fat distribution. BIA and digital anthropometry have the potential to provide accurate measures of fat mass and distribution in clinical settings. There should also be a clinical evaluation for the presence and severity of obesity complications that can be used to stage the disease.

Alcohol Drinking Impacts on Adiposity and Steatotic Liver Disease: Concurrent Effects on Metabolic Pathways and Cardiovascular Risks

PURPOSE OF REVIEW

This integrative search aimed to provide a scoping overview of the relationships between the benefits and harms of alcohol drinking with cardiovascular events as associated to body fat mass and fatty liver diseases, as well as offering critical insights for precision nutrition research and personalized medicine implementation concerning cardiovascular risk management associated to ethanol consumption.

RECENT FINDINGS

Frequent alcohol intake could contribute to a sustained rise in adiposity over time. Body fat distribution patterns (abdominal/gluteus-femoral) and intrahepatic accumulation of lipids have been linked to adverse cardiovascular clinical outcomes depending on ethanol intake. Therefore, there is a need to understand the complex interplay between alcohol consumption, adipose store distribution, metabolic dysfunction-associated steatotic liver disease (MASLD), and cardiovascular events in adult individuals. The current narrative review deals with underconsidered and apparently conflicting benefits concerning the amount of alcohol intake, ranging from abstention to moderation, and highlights the requirements for additional robust methodological studies and trials to interpret undertrained and existing controversies. The conclusion of this review emphasizes the need of newer multifaceted clinical approaches for precision medicine implementation, considering epidemiological strategies and pathophysiological mechanistic. Newer investigations and trials should be derived and performed particularly focusing both on alcohol's objective consequences as putatively mediated by fat deposition, including associated roles in fatty liver disease as well as to differentiate the impact of different levels of alcohol consumption (absence or moderation) concerning cardiovascular risks and accompanying clinical manifestations. Indeed, the threshold for the safe consumption of alcoholic drinks remains to be fully elucidated.

Molecular Aspects in the Development of Type 2 Diabetes and Possible Preventive and Complementary Therapies

The incidence of diabetes, including type 2 diabetes (T2DM), is increasing sharply worldwide. To reverse this, more effective approaches in prevention and treatment are needed. In our review, we sought to summarize normal insulin action and the pathways that primarily influence the development of T2DM. Normal insulin action involves mitogenic and metabolic pathways, as both are important in normal metabolic processes, regeneration, etc. However, through excess energy, both can be hyperactive or attenuated/inactive leading to disturbances in the cellular and systemic regulation with the consequence of cellular stress and systemic inflammation. In this review, we detailed the beneficial molecular changes caused by some important components of nutrition and by exercise, which act in the same molecular targets as the developed drugs, and can revert the damaged pathways. Moreover, these induce entire networks of regulatory mechanisms and proteins to restore unbalanced homeostasis, proving their effectiveness as preventive and complementary therapies. These are the main steps for success in prevention and treatment of developed diseases to rid the body of excess energy, both from stored fats and from overnutrition, while facilitating fat burning with adequate, regular exercise in healthy people, and together with necessary drug treatment as required in patients with insulin resistance and T2DM.

Comparison of waist circumference and waist-to-height ratio as predictors of clustering of cardiovascular risk factors among middle-aged people in rural Khanh Hoa, Vietnam

OBJECTIVE

Given the population-level variation in stature, a universal cut-off for waist circumference (WC) may not be appropriate for some populations. We compared the performance of WC and waist-to-height ratio (WHtR) to detect the clustering of cardiovascular disease (CVD) risk factors in rural Vietnam.

METHODS

We obtained data from a baseline survey of the Khanh Hoa Cardiovascular Study comprising 2942 middle-aged residents (40-60 years). We used areas under the receiver operating characteristics curve (AUROC), net reclassification index (NRI), and integrated discrimination improvement (IDI) to compare the performance of WC and WHtR in predicting CVD risk clustering (≥2 of the following risk factors: hypertension, diabetes, dyslipidemia, and elevated C-reactive protein).

RESULTS

The optimal cut-off values for WC were 81.8 and 80.7 cm for men and women, respectively. Regarding the clustering of CVD risk factors, the AUROC (95% CI) of WC and WHtR were 0.707 (0.676 to 0.739) and 0.719 (0.689 to 0.749) in men, and 0.682 (0.654 to 0.709) and 0.690 (0.663 to 0.717) in women, respectively. Compared with WC, WHtR had a better NRI (0.229; 0.102-0.344) and IDI (0.012; 0.004-0.020) in men and a better NRI (0.154; 0.050-0.257) in women.

CONCLUSIONS

The optimal WC cut-off for Vietnamese men was approximately 10 cm below the recommended Asian cut-off. WHtR might perform slightly better in predicting the clustering of CVD risk factors among the rural population in Vietnam.

Anthropometry for predicting cardiometabolic disease risk factors in adolescents

OBJECTIVE

Early screening prevents chronic diseases by identifying at-risk adolescents through anthropometric measurements, but predictive value in diverse groups is uncertain.

METHODS

A cross-sectional analysis of 12- to 19-year-old individuals from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) assessed the predictive ability of BMI percentile, total body fat percentage, waist circumference (WC), and waist-hip ratio (WHR) for four cardiometabolic risk factors across race and ethnicity groups using receiver operating characteristic curves.

RESULTS

The unweighted sample (N = 1194; 51.2% male individuals; 23.7% Hispanic, 13.2% non-Hispanic Black [NHB], 51.1% non-Hispanic White [NHW], 12.0% other/multirace) had a weighted prevalence of elevated blood pressure of 2.7%, hyperglycemia of 36.8%, hypertriglyceridemia of 4.8%, and low high-density lipoprotein (HDL) cholesterol of 15%. WHR (area under the curve [AUC] = 0.77), WC (AUC = 0.77), and BMI percentile (AUC = 0.73) outperformed total body fat percentage (AUC = 0.56) in predicting elevated blood pressure (p < 0.001 for all). BMI percentile was more accurate than total body fat percentage in predicting hypertriglyceridemia (AUC = 0.70 vs. 0.59; p = 0.02) and low HDL cholesterol (AUC = 0.69 vs. 0.59; p < 0.001). Race and ethnicity-based predictions varied: NHW adolescents had the highest AUC (0.89; p < 0.01) for elevated blood pressure prediction compared with Hispanic and NHB adolescents (AUC = 0.77 for both). Total body fat percentage was more accurate in predicting low HDL cholesterol among Hispanic versus NHW adolescents (AUC = 0.73 vs. 0.58; p = 0.04).

CONCLUSIONS

WHR, WC, and BMI percentile are better predictors of cardiometabolic risk factors in adolescents than total body fat percentage. Predictive abilities differed by race and ethnicity, highlighting the importance of tailored risk assessment strategies.

The Gene Network Correlation Analysis of Obesity to Type 1 Diabetes and Cardiovascular Disorders: An Interactome-Based Bioinformatics Approach

The current study focuses on the importance of Protein-Protein Interactions (PPIs) in biological processes and the potential of targeting PPIs as a new treatment strategy for diseases. Specifically, the study explores the cross-links of PPIs network associated with obesity, type 1 diabetes mellitus (T1DM), and cardiac disease (CD), which is an unexplored area of research. The research aimed to understand the role of highly connected proteins in the network and their potential as drug targets. The methodology for this research involves retrieving genes from the NCBI online gene database, intersecting genes among three diseases (type 1 diabetes, obesity, and cardiovascular) using Interactivenn, determining suitable drug molecules using NetworkAnalyst, and performing various bioinformatics analyses such as Generic Protein-Protein Interactions, topological properties analysis, function enrichment analysis in terms of GO, and Kyoto Encyclopedia of Genes and Genomes (KEGG), gene co-expression network, and protein drug as well as protein chemical interaction network. The study focuses on human subjects. The results of this study identified 12 genes [VEGFA (Vascular Endothelial Growth Factor A), IL6 (Interleukin 6), MTHFR (Methylenetetrahydrofolate reductase), NPPB (Natriuretic Peptide B), RAC1 (Rac Family Small GTPase 1), LMNA (Lamin A/C), UGT1A1 (UDP-glucuronosyltransferase family 1 membrane A1), RETN (Resistin), GCG (Glucagon), NPPA (Natriuretic Peptide A), RYR2 (Ryanodine receptor 2), and PRKAG2 (Protein Kinase AMP-Activated Non-Catalytic Subunit Gamma 2)] that were shared across the three diseases and could be used as key proteins for protein-drug/chemical interaction. Additionally, the study provides an in-depth understanding of the complex molecular and biological relationships between the three diseases and the cellular mechanisms that lead to their development. Potentially significant implications for the therapy and management of various disorders are highlighted by the findings of this study by improving treatment efficacy, simplifying treatment regimens, cost-effectiveness, better understanding of the underlying mechanism of these diseases, early diagnosis, and introducing personalized medicine. In conclusion, the current study provides new insights into the cross-links of PPIs network associated with obesity, T1DM, and CD, and highlights the potential of targeting PPIs as a new treatment strategy for these prevalent diseases.

Impact of 5' Near Gene Variants of Mannose Binding Lectin (MBL2) on Breast Cancer Risk

The immune system plays a bifaceted role in tumour development through modulation of inflammation. MBL binds to damage-associated molecular patterns and induces inflammation through the activation of complement pathway. Dysregulated inflammation plays a major role in breast cancer pathogenesis, thereby suggesting its contribution towards breast cancer risk. Literature asserts single-nucleotide polymorphisms (SNPs) modulating serum MBL levels. Therefore, studying MBL2 SNPs in breast cancer might provide valuable insight in the disease pathogenesis. The present case-control association study aimed to elucidate the association between MBL2 5' near gene SNPs and breast cancer risk. Breast cancer patients were recruited from Government Medical College, G.N.D. Hospital, Amritsar. The age- and gender-matched genetically unrelated healthy individuals, from adjoining regions, with no history of malignancy up to three generations were recruited as controls. The SNPs of MBL2 from the 5' near gene region with putative functional significance were selected based upon the in silico analysis and literature review. The genotypic, allelic and haplotype frequencies for the studied variants were assessed and compared in the study participants by ARMS-PCR and PCR-RFLP. No difference in allelic, genotypic and haplotype frequencies was reported for rs7096206, rs7084554 and rs11003125 in both the participant groups. rs7084554 (CC) was found to confer risk towards hormone receptor-positive breast cancer. An intermediate LD was observed between rs7084554 and rs11003125. The study reports association between MBL2 variant (rs7084554) and hormone receptor-positive breast cancer risk. Further research in this direction might validate the findings.

Measuring Overweight and Obesity in Persons with Spinal Cord Injury: What Do Health Providers Use and What are the Challenges?

INTRODUCTION

Obesity is a significant health concern for veterans and individuals with spinal cord injury, yet screening for overweight/obesity can be challenging. This study examines how healthcare providers screen for overweight/obesity and the challenges encountered in identifying overweight/obesity in veterans and persons with spinal cord injury.

MATERIALS AND METHODS

Healthcare providers who provide care for persons with spinal cord injury completed a semi-structured interview. The interview explored their perspectives on measuring overweight/obesity in persons with spinal cord injury and the challenges they faced. Thematic analysis was used to identify themes that emerged from the interviews.

RESULTS

Twenty-five providers (88% female with an average experience of 9.6 ± 7.3 years in providing care for spinal cord injury patients) participated in the interviews. The themes described the health indicators and equipment used to assess overweight/obesity, provider concerns regarding measurement, and criteria for classifying overweight/obesity. Body weight and body mass index were the most commonly used indicators. However, concerns were raised regarding accuracy of these measures for spinal cord injury patients, as well as issues related to the accessibility, calibration, and usability of the equipment. Many providers reported using standard body mass index ranges and categories instead of those specific to spinal cord injury.

CONCLUSION

This study identified the most commonly used indicators of weight or body composition in veterans and persons with spinal cord injury and highlighted providers' concerns with these measures. Future research is needed to identify the most feasible, accurate, and appropriate health indicators that could be used in a clinical setting to identify overweight and obesity in this population.

Evidence for central obesity risk-related thresholds for adolescents aged 11 to 18 years in England using the LMS method

INTRODUCTION

Central obesity has been shown to better indicate health risks compared to general obesity. Measures of central obesity include waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and waist circumference (WC). The National Institute of Health and Care Excellence (NICE) recently recommended the use of WHtR alongside body mass index (BMI) to identify risks in adults and children, whilst recognising the need for more evidence relating to WHtR in children. This study explores risk thresholds for central obesity measures throughout adolescence. It compares these with those currently recommended in England and discusses whether these thresholds are age- and sex-specific.

METHODS

Data on adolescents aged 11 to 18 years from the Health Survey for England (HSE) during 2005 to 2014 was used to calculate WHtR, WHR and WC percentiles. Next, smoothed lambda-mu-sigma (LMS) curves were created and the percentiles which align with the adult thresholds at age 18 years identified. This allows the most appropriate risk related thresholds for each measure during adolescence to be determined.

RESULTS

WHtR LMS curves are stable and flat throughout adolescence. WHR decreases in girls and WC increases in both boys and girls, during adolescence. Across all measures, there is slightly more fluctuation in higher percentiles, and in girls' WHR.

DISCUSSION

In practice, WHtR thresholds are simple to use to identify central obesity related risks. In particular, they are recommended because the same thresholds can be used for males and females and for adolescents and adults. The results support NICE guidance to use WHtR thresholds alongside BMI thresholds to identify individual risk.

IMPLICATIONS AND CONTRIBUTION

This study uses central obesity measures, including waist-to-height and waist-to-hip ratios, to investigate risk-related thresholds for adolescents. It is the first to do so using English data. It provides support for current NICE recommendations to use adult waist-to-height thresholds in adults and children, alongside BMI measures in clinical and non-clinical settings.

Associations between waist-to-height ratio and abdominal aortic calcification: A cross-sectional study

Waist-to-height ratio (WtHR) is a validated biomarker of central obesity that appears to be preferable to other body composition measurements in the evaluation of cardiovascular disease. The goal of this research was to explore the connection between WtHR and abdominal aortic calcification (AAC) among adults. On the basis of data from the 2013 to 2014 National Health and Nutrition Examination Survey, multivariate logistic regression, sensitivity analysis, as well as smoothed curve fitting were used to evaluate the connection between WtHR and AAC. Subgroup analyses along with interaction tests were done to see if this link was consistent across populations. Among 3079 participants aged >40 years, there was a negative association between WtHR and ACC. Each 1-unit emergence of WtHR was related to a 2% reduction in the probability of severe AAC in the entirely adjusted model (odds ratio = 0.02, 95% confidence interval: [0.00-0.12]). Participants in the highest WtHR quartile were 39% less likely to acquire severe AAC compared with those in the lowest quartile. (odds ratio = 0.61, 95% confidence interval: [0.37-1.00]). This negative association was more pronounced in the diabetes subgroup. We discovered a reversed U-shaped association between WtHR as well as AAC score utilizing a 2-stage linear regression model, with an intersection point of 0.56. WtHR was negatively associated with AAC among US adults.

Association between cardiometabolic index and erectile dysfunction among US adults: a cross-sectional analysis of the National Health and Nutrition Examination Survey 2001-2004

The aim of this study was to assess the association between a new metabolic index, the cardiometabolic index (CMI) and erectile dysfunction (ED). The data for this study relied on the National Health and Nutrition Examination Survey (NHANES), a cross-sectional database, between 2001 and 2004. The CMI was calculated as the following formula: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDL-C) (mmol/L) ×waist-height ratio (WHtR). The multivariate logistic regression analyses were conducted to assess the association between CMI and ED, supplemented by subgroup analysis and dose-response curves. Finally, a total of 1367 adult male participants were identified, and the mean CMI was 0.83 ± 0.02. Multivariate logistic regression analysis showed that in model 2 controlling for all potential confounders, CMI was significantly associated with ED (OR = 1.49, 95% CI: 1.09, 2.04) (p = 0.017). Subsequently, we convert the CMI from a continuous variable to a categorical variable (Tertiles). The results showed that male participants in CMI Tertile 3 group had a higher risk of ED than those in Tertile 1 group in model 2 (OR = 2.07, 95% CI: 1.12, 3.83, P = 0.024). The subgroup analysis of model 2 demonstrated that CMI was significantly associate with ED in participants aged ≥50 y (OR = 2.31, 95% CI: 1.35, 3.95, P = 0.005), body mass index (BMI) > 30 kg/m2 (OR = 1.78, 95% CI: 1.10, 2.90, P = 0.023), with hypertension (OR = 1.89, 95% CI: 1.63, 3.45, P = 0.020), with diabetes mellitus (OR = 1.67, 95% CI: 1.13, 2.47, P = 0.015), with cardiovascular disease (CVD) (OR = 1.54, 95% CI: 1.12, 2.10, P = 0.011) and smoking (OR = 2.07, 95% CI: 1.26, 3.39, P = 0.007). This study demonstrates a strong association between CMI and ED and an increased risk of ED with higher CMI levels. More prospective studies with large samples and good designs are needed to validate our results in the future.

Waist-to-height ratio and body fat percentage as risk factors for ischemic cardiovascular disease: a prospective cohort study from UK Biobank

BACKGROUND

The independent effect of waist-to-height ratio (WHtR) and body fat percentage (BF%) on ischemic cardiovascular disease (CVD) remains uncertain.

OBJECTIVES

This study aimed to investigate the independent associations of WHtR and BF% with ischemic CVD.

METHODS

This prospective cohort study used data from the UK Biobank. BF% was calculated as fat mass divided by body weight, measured by bioimpedance. Cox models estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for overall and sex-specific associations of BF% and WHtR with risks of ischemic CVD and its main subtypes [myocardial infarction (MI) and ischemic stroke (IS)], adjusted for a range of potential confounders, including mutual adjustment for BF% and WHtR.

RESULTS

In total, 468,333 participants without existing CVD were included in the analysis. During 12 y of follow-up, 20,151 ischemic CVD events, 13,604 MIs, and 6681 ISs were recorded. WHtR was linearly associated with ischemic CVD, MI, and IS, with an HR per 5% increase of 1.23 (95% CI: 1.20, 1.25), 1.24 (95% CI: 1.21, 1.27), and 1.22 (95% CI: 1.18, 1.26), respectively, independent of BF%. A stronger association between WHtR and MI was seen in females than in males. The association of BF% with these outcomes was substantially attenuated in both sexes after adjustment for WHtR. For example, in females, the HR (highest compared with lowest fifth) was reduced from 1.94 (95% CI: 1.76, 2.15) to 1.04 (95% CI: 0.90, 1.01) for ischemic CVD, from 2.04 (95% CI: 1.79, 2.32) to 0.97 (95% CI: 0.81, 1.16) for MI, and from 1.81 (95% CI: 1.54, 2.13) to 1.07 (95% CI: 0.85, 1.33) for IS.

CONCLUSIONS

WHtR, when used as a proxy measure for central obesity, is linearly associated with ischemic CVD in both sexes, which is independent of BF%. In contrast, the relationship of BF% with these health outcomes is predominantly driven by its correlation with WHtR.

Unravelling the obesity maze in diabetic patients: A comparative analysis of classification methods

Background

Obesity is a significant health concern among individuals with type 2 diabetes mellitus (T2DM). Emerging evidence suggests that alternative measures, such as abdominal girth (AG) and body fat percentage (BF%), can provide a more accurate reflection of obesity-related metabolic risks in diabetic populations. This study aimed to compare the accuracy of different obesity classification methods, including BMI, AG, and BF%, among individuals with T2DM.

Methodology

This was an observational cross-sectional study conducted among T2DM patients who came to the non-communicable diseases clinic of GG Govt Hospital, Jamnagar, Gujarat during the period of March-April 2023. Demographic and anthropometric information was collected. Body fat analysis was done using a validated Omron fat analyzer.

Results

The study found the sensitivity of BMI in males and females as 41.6% and 45% against BF%, respectively. It also showed that the sensitivity of BMI in males and females was 38% and 40.7%, respectively, against AG. The present study also found a moderate positive correlation (r = 0.575) between AG and BF% in individuals with T2DM.

Conclusion

The findings indicate that BF% and AG provide valuable insights into adiposity, surpassing the limitations of BMI as a measure of body composition. BF% is an indicator of body fat content, whereas AG serves as a proxy for central adiposity. The correlations between BF% and AG suggest that excess abdominal fat accumulation signifies increased body fat. By incorporating measures such as BF% and AG alongside BMI, clinicians can obtain a more comprehensive understanding of body composition and its relationship with metabolic abnormalities.

TyG index is positively associated with HOMA-IR in cholelithiasis patients with insulin resistance: Based on a retrospective observational study

BACKGROUND/OBJECTIVE

Cholelithiasis is a common disease but pose significant global health and financial burdens. Mechanisms of the disease are associated with insulin resistance (IR), obesity, metabolic syndrome, and type 2 diabetes. Insulin resistance is commonly observed in cholelithiasis patients. More recently, the triglyceride-glucose (TyG) index has been proposed as an alternative marker of insulin resistance. In our study we aimed to understand whether the TyG index is correlated with HOMA-IR in cholelithiasis patients. And also we aimed the predict a cutoff value for determining insulin resistance in cholelithiasis patients.

METHODS

A total of 184 cholelithiasis patients were matched in terms of age, gender, and BMI. They were divided into two groups based on their Homa IR levels (IR and Non-IR group). This study was a retrospective, observational study and clinical data was obtained from electronic medical records. Cutoff value for Tyg index was established through ROC Analysis. Binary Logistic Regression was used to identify factors affecting insulin resistance.

RESULTS

A significant cutoff value was found for the TyG index in determining the presence of insulin resistance. Having a TyG index of ≥8.71 indicates the presence of insulin resistance. The sensitivity was 68.48%, the specificity was 58.70%. Binary Logistic Regression analyses showed that an increase in Tyg Index, waist circumference and waist-to-height ratio values increases the risk of insulin resistance by 2.705 (p = 0.001), 1.032 (p = 0.029), and 334.057 (p = 0.012) times respectively.

CONCLUSION

Our study indicated that TyG index is positively correlated with HOMA-IR. TyG index was found as a risk factor for insulin resistance.

Anthrometric dimensions and their impact on cardiovascular risk factors

Central obesity is an important risk factor for cardiovascular disease. The abdominal subcutaneous adipose tissue thickness (ASATT) can be used to evaluate central obesity. The objective of this study was to compare ASATT with cardiovascular risk factors and other anthropometric parameters to show that ASATT can be a useful tool for the early assessment of heart disease risk. In this observational cross-sectional study, anthropometric measurements of 100 autopsied decedents, including waist circumference, hip circumference, waist/height and waist/hip ratio, aortic outlet and coronary artery atheroma plaque densities, heart weight, ventricular wall thickness, and ASATT, were assessed. The research data were evaluated using the Statistical Package for the Social Sciences for Windows 25.0. The average ASATT of the male group was 40.36 mm (SD: 11.00), and the average of female cases was 46.34 mm (SD: 18.12). There was no statistically significant difference between the sexes and both age groups in terms of the ASATT score (P > .05). There was a positive correlation between ASATT and waist circumference, hip circumference, and waist/height ratio in both sexes (P < .05). While ASATT was not related to atheroma density in the coronary arteries of men (P > .05), it was correlated with atheroma density in all 3 coronary arteries of women (P < .05). In the male group, the aortic inner surface atheroma density was positively correlated with ASATT (P < .05). In both sexes, there was a positive correlation (P < .05) between ASATT and heart weight; however, no such correlation was observed with right and left ventricular wall thickness (P > .05). ASATT is related to other anthropometric measurements, atherosclerosis of critical vessels, and heart weight, and can be used to scan the patient population for heart disease risk assessment with noninvasive methods.

Resveratrol Effects on Metabolic Syndrome Features: A Systematic Review and Meta-Analysis

Resveratrol is a natural polyphenol with important anti-inflammatory and antioxidant properties for treating cardiometabolic disorders. Therefore, the present meta-analysis aimed to review and investigate the oral resveratrol supplementation effects on metabolic syndrome (MetS) components. The bibliographic search was carried out in 2023 in the following databases: PubMed, Web of Science, and Scopus. Studies that investigated the oral resveratrol effects on the MetS parameters were included. Statistical analyses were performed using RevMan Software V.5.3. The main findings showed that resveratrol significantly decreased systolic and diastolic blood pressure while having no significant effects on waist circumference and high-density lipoprotein levels. In addition, glucose level was significantly decreased in the subgroup of studies reporting change from baseline means, although the overall effect was not statistically significant (p = 0.81), while triglyceride levels were increased after the treatment period. In conclusion, the present meta-analysis evidenced the potential therapeutic effect of resveratrol on improving some MetS features, especially regarding systolic blood pressure, diastolic blood pressure, and glucose reduction; however, the results are still borderline and sometimes controversial, which might be justified by the methodological and statistical heterogeneity of the studies, with the latter varying from 17 to 57%.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review

BACKGROUND

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

METHODS

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

RESULTS

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

LIMITATIONS

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

CONCLUSIONS

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Obesity, body fat distribution and eye diseases

BACKGROUND

The prevalence of obesity, a chronic disease, is increasing, and obesity is now considered a global epidemic. Eye diseases are also increasing worldwide and have serious repercussions on quality of life as well as increasingly high costs for the community. The relationships between obesity and ocular pathologies are not yet well clarified and are not pathologically homogeneous: they seem to be somehow linked to excess body fat, especially to the distribution of adipose tissue and its ectopic deposits.

PURPOSE

Our objective was to examine the associations between obesity and anthropometric indices, including body mass index (BMI), waist circumference (WC), and the waist/hip ratio (WHR), and the risk of most widespread eye diseases, with particular attention given to the most significant metabolic mechanisms.

METHODS

This article provides a narrative overview of the effect of obesity and anthropometric measurements of body fat on prevalent eye diseases. We used the MEDLINE/PubMed, CINAHL, EMBASE, and Cochrane Library databases from 1984 to 2024. In addition, we hand-searched references from the retrieved articles and explored a number of related websites. A total of 153 publications were considered.

RESULTS

There is significant evidence that obesity is associated with several eye diseases. Waist circumference (WC) and the waist/hip ratio (WHR) have been observed to have stronger positive associations with eye diseases than BMI.

CONCLUSIONS

Obesity must be considered a significant risk factor for eye diseases; hence, a multidisciplinary and multidimensional approach to treating obesity, which also affects ocular health, is important. In the prevention and treatment of eye diseases related to obesity, lifestyle factors, especially diet and physical activity, as well as weight changes, both weight loss and weight gain, should not be overlooked.

LEVEL OF EVIDENCE

Level V narrative review.

Usefulness of New Criteria for Metabolic Syndrome Optimized for Prediction of Cardiovascular Diseases in Japanese

AIMS

We attempted to clarify whether the multiple criteria for metabolic syndrome (MetS) can sufficiently predict cardiovascular disease, whether waist circumference (WC) should be required, and whether sex-specific thresholds for each component are necessary. Only a few large-scale studies among East Asians have addressed the ability of MetS to predict cardiovascular disease.

METHODS

We analyzed the data of 330,051 men and 235,028 women aged 18-74 years with no history of coronary artery disease (CAD) or cerebrovascular disease (CVD) from a nationwide Japanese claims database accumulated during 2008-2016. The association of each MetS component with CAD or CVD (CAD/CVD), MetS associated with CAD/CVD according to various criteria, and utility of modified criteria with more specific optimal values for each component were examined using multivariate Cox regression and receiver operating characteristic (ROC) analysis.

RESULTS

During the study, 3,934 men (1.19%) and 893 women (0.38%) developed CAD/CVD. For each current MetS criteria, there was a 1.3- to 2.9-fold increased risk of CAD/CVD. Optimal thresholds for predicting CAD/CVD were WCs of 83 and 77 cm, triglycerides levels of 130 and 90 mg/dl, high-density lipoprotein cholesterol levels of 50 and 65 mg/dl, blood pressures of 130/80 and 120/80 mmHg, and fasting plasma glucose levels of 100 and 90 mg/dl for men and women, respectively. The existing MetS criteria and modified criteria were not significantly different in predicting CAD/CVD, but using the modified criteria markedly increased the prevalence of MetS and percentage of people with MetS developing CAD/CVD.

CONCLUSIONS

Although various criteria for MetS similarly predicted CAD/CVD, the new criteria greatly reduced the number of high-risk individuals, especially women, overlooked by the current criteria.

Steatotic liver disease predicts cardiovascular disease and advanced liver fibrosis: A community-dwelling cohort study with 20-year follow-up

BACKGROUND

Steatotic liver disease (SLD) has emerged as new nomenclature to increase awareness and reflect the pathophysiology of the disease better. We investigated the risk of advanced fibrosis and cardiovascular disease (CVD) in SLD using data derived from a Korean prospective cohort.

METHODS

We defined SLD using the fatty liver index (FLI) and identified advanced fibrosis with the age-adjusted Fibrosis-4 Index. SLD was further subcategorized into metabolic dysfunction-associated SLD (MASLD), MASLD with increased alcohol intake (MetALD), and alcohol-associated liver disease (ALD).

FINDINGS

The Ansung-Ansan cohort of the Korean Genome and Epidemiology study, following 9497 participants from 2002 to 2020, included 3642 (38.3%) with MASLD, 424 (4.5%) with MetALD, and 207 (2.1%) with ALD. During the median follow-up of 17.5 years, CVD risk was higher in those with MASLD (hazard ratio [HR], 1.27; 95% confidence interval [CI], 1.12-1.45; P < 0.001), MetALD (HR, 1.88; 95% CI, 1.33-2.65; P < 0.001), and ALD (HR, 1.95; 95% CI, 1.01-3.77; P < 0.001) than in those without SLD, after adjusting for conventional risk factors. Notably, CVD risk was higher in the MetALD than in the MASLD group (P = 0.027). In the MASLD group, the number of cardiometabolic risk factors (CMRFs) correlated positively with CVD risk (HR, 1.34; 95% CI, 1.24-1.45; P < 0.001 for trend). Among the CMRFs, hypertension (HR, 1.94; 95% CI, 1.63-2.31; P < 0.001) was the predominant contributor to CVD. The MASLD (HR, 1.39; 95% CI, 1.25-1.55; P < 0.001), MetALD (HR, 1.75; 95% CI, 1.38-2.23; P < 0.001), and ALD (HR, 2.00; 95% CI, 1.30-3.07; P = 0.002) groups had a higher risk of advanced fibrosis than did the non-SLD group (P < 0.001 for trend).

INTERPRETATION

Our study provides new insight into hepatic and cardiovascular outcomes related to SLD subtypes. The risk of CVD increased in the order of no SLD, MASLD, and MetALD. The SLD subcategories, considering CMRFs and alcohol intake, outperformed traditional fatty liver categorizations in predicting CVD risk. The proposed SLD terminology could impact clinical practice, warranting further exploration of the heterogeneity of clinical outcomes among SLD subtypes.

Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in Canada

BACKGROUND

Adolescents who experience overweight or obesity commonly persist in these conditions into adulthood, thereby elevating their vulnerability to health issues. The focus of this study is on health risk markers such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body surface area (BSA), and cardiorespiratory fitness (CRF). The objectives include updating normative values for BMI, WC, WHtR, and BSA in Canadian adolescents, establishing cardiometabolic risk zones, and developing a composite score considering both anthropometric and CRF markers.

METHODS

Involving 1864 adolescents, the study used the LMS method to generate percentile norms, stratified by age and sex. Cardiometabolic risk zones were established for each marker based on Z-scores, and a composite score was created.

RESULTS

An increase in WC of 5.8 and 7.4 cm for boys and girls, respectively, was observed since 1981. Forward multiple regression analyses were conducted to assess the robustness and validity of the proposed model. The results indicated that the model explained nearly 90% (R2 = 0.890) of the common variance between the composite score and the retained independent variables. Moreover, the model demonstrated a mean absolute error (MAE) of approximately 6 percentiles, confirming its high precision. Furthermore, these analyses yielded key thresholds for identifying adolescents at risk: the 70th percentile for high cardiometabolic risk and the 85th percentile for very-high risk.

CONCLUSIONS

Individually, WC or WHtR seem to be better markers for evaluating cardiometabolic risk than BMI during adolescence. However, CRF showed comparable importance to anthropometric markers in determining cardiometabolic risk. The simultaneous inclusion of anthropometric and CRF markers provides a better picture of the global cardiometabolic risk in adolescents.

The Role of Peptides in Asthma-Obesity Phenotype

The co-occurrence of asthma and obesity is becoming an increasingly common health problem. It became clear that both diseases are closely related, since overweight/obesity are associated with an increased risk of asthma development, and more than half of the subjects with severe or difficult-to-treat asthma are obese. Currently, there are no specific guidelines for the treatment of this group of patients. The mechanisms involved in the asthma-obesity phenotype include low-grade chronic inflammation and changes in pulmonary physiology. However, genetic predispositions, gender differences, comorbid conditions, and gut microbiota also seem to be important. Regulatory peptides affect many processes related to the functioning of the respiratory tract and adipose tissue. Adipokines such as leptin, adiponectin, resistin, and the less studied omentin, chemerin, and visfatin, as well as the gastrointestinal hormones ghrelin, cholecystokinin, glucagon-like peptide-1, and neuropeptides, including substance P or neuropeptide Y, can play a significant role in asthma with obesity. The aim of this article is to provide a concise review of the contribution of particular peptides in inflammatory reactions, obesity, asthma, and a combination of both diseases, as well as emphasize their potential role in the effective treatment of the asthma-obesity phenotype in the future.

Predictive ability of the Chinese visceral adiposity index for incident hypertension in working-aged Koreans

OBJECTIVES

The Chinese visceral adiposity index (CVAI) was developed to assess visceral adipose tissue in the Asian population. This study evaluated the predictive ability of the CVAI for incident hypertension in Korean adults.

METHODS

The study participants included 128,577 Koreans without hypertension. They were grouped in quartiles according to body mass index (BMI), waist circumference (WC), visceral adipose index (VAI), and CVAI values. The Cox proportional hazard assumption was used to evaluate the hazard ratio (HR) and 95% confidence interval (CI) for incident hypertension (adjusted HR [95% CI]) according to quartile level across a follow-up period of 6.9 years. Subgroup analyses were conducted by gender and obesity. The area under the curve was calculated to compare the predictive abilities of all indices (BMI, WC, VAI, and CVAI) for incident hypertension.

RESULTS

The CVAI was proportionally associated with the risk of hypertension in all participants (quartile 1: reference; quartile 2: 1.71 [95% CI, 1.59 to 1.82]; quartile 3: 2.41 [95% CI, 2.25 to 2.58]; and quartile 4: 3.46 [95% CI, 3.23 to 3.71]). Time dependent receiver operating characteristic curve analysis indicated that the CVAI was superior to BMI, WC, and VAI in predicting hypertension at the 2-year, 4-year, 6-year, and 8-year follow-ups. This finding was also observed in the gender and obesity subgroups. The predictive ability of the CVAI was greater in the women and non-obese subgroups than in the men and obese subgroups.

CONCLUSIONS

The CVAI was a stronger predictor of hypertension than BMI, WC, and VAI.

Nutrition and Health in Arab Adolescents (NaHAR): Study protocol for the determination of ethnic-specific body fat and anthropometric cut-offs to identify metabolic syndrome

The prevalence of adolescent obesity in the Middle-East is considered among the highest in the world. Obesity in adolescents is associated with several cardiometabolic abnormalities, the constellation of which is referred to as the metabolic syndrome (MetS). This multi-country cross-sectional study aims to determine the optimal cut-off values for body fat (BF); body mass index (BMI) z-score; waist circumference (WC) percentile, and mid-upper arm circumference (MUAC) for the prediction of MetS among adolescents from Kingdom of Saudi-Arabia (KSA), Kuwait, Jordan, Lebanon and Syria. A secondary objective is to examine the validity of Bioelectrical Impendence Vector Analysis (BIVA) in estimating BF against the deuterium dilution technique (DDL). In each country, a sample of 210 adolescents will be recruited. Data collection will include demographics, socioeconomic, lifestyle and dietary data using a multi-component questionnaire; anthropometric measurements will be obtained and body composition will be assessed using the DDL and BIVA; blood pressure and biochemical assessment will be performed for the identification of the MetS. Receiver operating characteristic analyses will be undertaken to determine optimal cut-off values of BMI, WC, MUAC and BF in identifying those with MetS. Odds ratios (OR) and their respective 95% confidence interval (CI) for the association of the anthropometric measurements with MetS will be computed based on multiple logistic regression analysis models. The Bland and Altman approach will be adopted to compare BIVA against the reference DDL method for the determination of body composition parameters. This study responds to the need for ethnic-specific anthropometric cut-offs for the identification of excess adiposity and associated cardiometabolic risks in the adolescent population. The adoption of the generated cut-offs may assist policy makers, public health professionals and clinical practitioners in providing ethnic-specific preventive and curative strategies tailored to adolescents in the region.