Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort

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.

Waist-to-hip ratio and nonalcoholic fatty liver disease: a clinical observational and Mendelian randomization analysis

Background

Obesity often coincides with non-alcoholic fatty liver disease (NAFLD), yet a significant portion of NAFLD patients exhibit normal body mass index (BMI) but have abdominal obesity. Recognizing this discrepancy, we aimed to delve deeper into this phenomenon through observational studies coupled with two-sample Mendelian randomization (MR) analysis, with waist-to-hip ratio (WHR) serving as the indicator for abdominal obesity. Our objective was to ascertain whether WHR correlates with an increased risk of NAFLD development.

Methods

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 to examine the association between WHR and NAFLD through weighted multivariate logistic regression models. On this basis, subgroup analyses were performed to further explore the correlation between WHR and NAFLD. Subsequently, a two-sample MR analysis was conducted using genome-wide association studies (GWAS) data to investigate the potential causal relationship between WHR and NAFLD. Sensitivity analyses were also employed to ensure the robustness of our findings.

Results

A total of 3,732 eligible participants were included in the analysis. Weighted multivariable-adjusted logistic regression models revealed a positive association between WHR and the risk of NAFLD (Q2vsQ1: OR = 1.94 [95% CI: 1.55-2.44]; Q3vsQ1: OR = 2.08 [95% CI: 1.51-2.85]; Q4vsQ1: OR = 3.70 [95% CI: 2.13-6.43], p < 0.05). The results of the subgroup analysis suggested that there was an interaction in the correlation between WHR and NAFLD in normal weight, overweight, and obese populations (p < 0.05). The RCS curves indicated that there was a nonlinear relationship between WHR and NAFLD in populations with BMI in the normal versus obese categories. Furthermore, MR analysis provided additional support for the causal relationship between WHR and NAFLD. Using inverse variance weighting (IVW), the MR analysis yielded an OR of 2.062 (95% CI: 1.680-2.531, p<0.05). Consistent results were obtained with the other four MR methods, all supporting the same direction of causality. Sensitivity analyses were performed to assess the robustness of the findings (p > 0.5), further reinforcing the reliability of the observed associations.

Conclusion

WHR elevation heightens the susceptibility to NAFLD.

Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China

BACKGROUND

In recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes.

METHODS

Conducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves.

RESULTS

The study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions.

CONCLUSION

This research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.

Measurement of visceral fat for early prediction of prediabetes-Cross-sectional study from Southern India

Objective

Prediabetes is a precursor to type 2 diabetes mellitus and routine screening of prediabetes is crucial. Visceral fat (VF) is associated with prediabetes and insulin resistance. Ethnic and racial differences resulting in different levels of VF in the Indian population necessitates an India-specific study. There is a dearth of literature on the cut-off values of VF measured using a bioelectrical impedance analyzer (BIA) to predict prediabetes in the Indian population. Hence, the main objective of this study was to determine the sex-specific cut-off value of VF on BIA to predict prediabetes in the Indian population.

Methods

Three hundred individuals aged 18-55 years of both sexes were selected for this cross-sectional study. VF was evaluated as a part of body composition analysis using BIA. The body composition variables for the prediction of prediabetes were examined using backward logistic regression. Optimal cut-off levels of VF to predict prediabetes were identified using receiver operator characteristic curve (ROC) analysis.

Results

VF, total fat, and age were found to be associated with prediabetes (p ≤ 0.05). In females, the cut-off value of VF for predicting prediabetes was identified as 8 with 77.8% sensitivity and 69.3% specificity; in males, it was 11 with 84% sensitivity and 62.9% specificity.

Conclusion

This study contributes to the sex-specific cut-off values of VF level on BIA that can be used for predicting prediabetes in the Indian population.

Indicators of Obesity and Cardio-metabolic Risks: Important Consideration in Adults and Children

The prevalence of obesity has dramatically increased all over the world. Body mass index (BMI) has been used as the most common available measure to determining obesity status. While the site of excessive fat mass accumulation is a stronger determinant of cardio-metabolic complication, with respect to systemic and generalized obesity, which is only determined through BMI. So, it is concluded that using traditional anthropometric indices such as BMI for interpreting the obesity status and cardio-metabolic risk has considerable limitations. Thus, the main aims of the present study are to discuss possible drawbacks of anthropometric indices especially BMI, which in epidemiological studies are usually neglected, as well as lend important consideration to using other anthropometric indices such as measurement of obesity and related cardio-metabolic complications with a special emphasis on the use of waist circumference, waist-to-hip ratio and waist-to-height ratio.

Correlation Between Anthropometric Measurements and Non-alcoholic Fatty Liver Disease in Individuals With Obesity Undergoing Bariatric Surgery: Cross-Sectional Study

BACKGROUND

We hypothesize that non-alcoholic fatty liver disease (NAFLD) may be significantly associated with waist circumference (WC), neck circumference (NC), hip circumference (HC), and waist-to-hip ratio (WHR).

OBJECTIVES

To analyze correlations between anthropometric parameters and the occurrence and intensity of NAFLD aspects assessed by histopathological examination in individuals undergoing bariatric surgery.

METHODS

This is a cross-sectional study carried out in a tertiary university hospital. Demographic, clinical, anthropometric, laboratory, and histopathological variables were analyzed; uni- and multivariate analyses were performed. Histopathological variables analyzed were findings of liver biopsies collected during surgical procedures.

RESULTS

Of 119 individuals, 105 (88.2%) were female. The mean age was 38.8 ± 9.3 years and the mean BMI was 37.6 ± 3.1 kg/m². The prevalence of NAFLD histopathological aspects was: steatosis (76.5%), steatohepatitis (49.6%), and fibrosis (51.3%). WC was significantly higher in individuals with steatosis (103.5 ± 9.9 vs. 99.4 ± 8.4; p = 0.03). Individuals with steatohepatitis presented significantly higher BMI (38.2 ± 3.2 vs. 36.7 ± 2.8; p = 0.01), WC (105.3 ± 10.4 vs. 99.6 ± 8.8; p = 0.002), and WHR (1 ± 0.1 vs. 0.9 ± 0.1; p = 0.02). Age (40.6 ± 9.7 vs. 37 ± 8.5; p = 0.03) and hemoglobin A1c (6.5 ± 0.5 vs. 5.6 ± 0.5; p = 0.004) were significantly higher among individuals with fibrosis. A positive correlation was observed between the steatosis intensity and WHR (R = 0.2; p = 0.04). BMI (R = 0.2; p = 0.02) and glucose (R = 0.2; p = 0.009) were independently correlated with the steatohepatitis intensity. Age (R = 0.3; p = 0.04) was independently correlated with the fibrosis intensity.

CONCLUSION

There were significant associations between anthropometric parameters and NAFLD aspects. WC and WHR were associated with steatosis; BMI, WC, and WHR were associated with steatohepatitis. WHR independently correlated with steatosis intensity.