Roundness Index Research Articles

Association between body roundness index and psoriasis among US adults: a nationwide population-based study.

In clinical practice, psoriasis is a prevalent chronic inflammatory cutaneous disease featured with the development of red plaque with silvery scales, which considerably affects cutaneous health and quality of life of those afflicted. This research aimed to examine the association between the body roundness index (BRI) and psoriasis, using data sourced from the National Health and Nutrition Examination Survey (NHANES). Our study used a cross-sectional design, including 8,479 adults, of whom 234 were diagnosed with psoriasis. Multivariable logistic regression was used to analyze the relationship between BRI and psoriasis, with stepwise adjustments for covariables. Results from multivariable logistic regression analyses indicated a significant positive relationship between BRI and the risk of developing psoriasis; specifically, after comprehensive adjustment for covariables, per 1 unit increase in BRI was linked to an 11% rise in psoriasis risk (OR = 1.11, 95% CI = 1.05-1.17). Furthermore, psoriasis patients exhibited higher average BRI compared to non-psoriasis patients and a greater prevalence of comorbidities such as hypertension and smoking. These findings suggest that higher BRI is positively correlated with the risk of psoriasis in the adult population in the US. BRI could potentially act as a practical anthropometric index for more accurately predicting the risk of developing psoriasis.

Abstract 4142783: Association of Body Roundness Index and Cardiovascular Disease among US Adults

Background: Obesity is one of the major risk factors for cardiovascular disease (CVD), body roundness index (BRI) is more comprehensive in assessing fat distribution than traditional measurements. However, evidence regarding the association between BRI and the risk of CVD was limited, particularly in American people. This current study aimed to investigate the association between BRI and the risk of CVD among US adults. Hypothesis: We hypothesized that higher BRI was associated with a higher risk of CVD. Methods: A total of 21,852 participants were included in the National Health and Nutrition Examination Surveys from 6 survey cycles (2003-2004, 2005-2006, 2007-2008, 2009-2010, 2011-2012, 2013-2014, 2015-2016 and 2017-2018). Weighted multivariate logistic regression was carried out to examine the relationship between BRI and the risk of CVD. Restricted cubic spline (RCS) curves were employed to analyze nonlinear relationships. Results: Among 21,852 US adults, the mean (SD) age was 47.5 (17.3) years, 10,669 (48.8%) were female, and 1886 were diagnosed with CVD. In the weighted multi-variable logistic regression model with adjustment for demographics, lifestyle, economic status and dietary factors, higher BRI was significantly associated with a substantially higher risk of CVD. Compared with the participants in the lowest quartile of BRI, those in the highest quartile of BRI had a higher CVD, with OR and 95%CI of 2.47 (1.92-3.17). Furthermore, the RCS demonstrated a linear dose-response relationship between BRI and CVD (P non-linearity =0.29). Conclusion: This national cohort study found a higher BRI was associated with a higher risk of CVD among US adults. BRI may provide a new perspective for CVD prevention among adults.

Association of body round index with chronic kidney disease: a population-based cross-sectional study from NHANES 1999-2018.

Complex nexuses between obesity and chronic kidney disease (CKD) have been reported. Nevertheless, the link between the body roundness index (BRI), an indicator utilized to measure body fat distribution, and CKD risk has been unexplored. We utilized publicly available data from ten survey cycles (1999-2018) of the National Health and Nutrition Examination Survey (NHANES) in the United States. We examined the association between BRI and CKD risk using multivariable logistic regression, subgroup analysis, interaction tests, and smooth curve fitting. The study ultimately involved 41,953 participants, 3,123 (7.44%) of whom had CKD. Multivariable logistic regression, adjusted for covariates, identified high BRI levels in quartile 4 as a risk factor for CKD (OR = 1.30, 95% CI 1.12-1.50, P = 0.0005). This association remained consistent across subgroups (P for interaction > 0.05). Smoothed curve fitting exhibited a roughly linear positive correlation between BRI and CKD. According to our study, BRI was related to CKD in a roughly linear way, suggesting a novel indicator for improving prevention and treatment for the CKD population. Nevertheless, additional research is needed to identify the association.

An Intraoperative Ultrasound Evaluation of Axillary Lymph Nodes: Cassandra Predictive Models in Patients with Breast Cancer—A Multicentric Study

Background and Objectives: Axillary lymph node (ALN) staging is crucial for the management of invasive breast cancer (BC). Although various radiological investigations are available, ultrasound (US) is the preferred tool for evaluating ALNs. Despite its immediacy, widespread use, and good predictive value, US is limited by intra- and inter-operator variability. This study aims to evaluate US and Elastosonography Shear Wave (SW-ES) parameters for ALN staging to develop a predictive model, named the Cassandra score (CS), to improve the interpretation of findings and standardize staging. Materials and Methods: Sixty-three women diagnosed with BC and treated at two Italian hospitals were enrolled in the study. A total of 529 lymph nodes were surgically removed, underwent intraoperative US examination, and were individually sent for a final histological analysis. The study aimed to establish a direct correlation between eight US-SWES features (margins, vascularity, roundness index (RI), loss of hilum fat, cortical thickness, shear-wave elastography hardness (SWEH), peripheral infiltration (PI), and hypoechoic appearance) and the histological outcome (benign vs. malignant). Results: Several statistical models were compared. PI was strongly correlated with malignant ALNs. An ROC analysis for Model A revealed an impressive AUC of 0.978 (S.E. = 0.007, p < 0.001), while in Model B, the cut-offs of SWEH and RI were modified to minimize the risk of false negatives (AUC of 0.973, S.E. = 0.009, p < 0.001). Model C used the same cut-offs as Model B, but excluded SWEH from the formula, to make the Cassandra model usable even if the US machine does not have SW-ES capability (AUC of 0.940, S.E. = 0.015, p < 0.001). A two-tiered model was finally set up, leveraging the strong predictive capabilities of SWEH and RI. In the first tier, only SWES and RI were evaluated: a positive result was predicted if both hardness and roundness were present (SWES > 137 kPa and RI < 1.55), and conversely, a negative result was predicted if both were absent (SWES < 137 kPa and RI > 1.55). In the second tier, if there was a mix of the results (SWES > 137 kPa and RI > 1.55 or SWES < 137 kPa and RI < 1.55), the algorithm in Model B was applied. The model demonstrated an overall prediction accuracy of 90.2% in the training set, 87.5% in the validation set, and 88.9% across the entire dataset. The NPV was notably high at 99.2% in the validation set. This model was named the Cassandra score (CS) and is proposed for the clinical management of BC patients. Conclusion: CS is a simple, non-invasive, fast, and reliable method that showed a PPV of 99.1% in the malignancy prediction of ALNs, potentially being also well suited for young sonographers.

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

BackgroundThis 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.MethodsA 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.ResultsThe 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.ConclusionsSeveral 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 Chinese Visceral Adiposity Index and incident stroke among community populations in Pudong New Area, Shanghai

BackgroundTo analyze the relationship between Chinese Visceral Adiposity Index (CVAI) and stroke in Pudong New Area, and to provide a scientific basis for the prevention and treatment of this condition. Materials and MethodsBased on the Follow-up Cohort Program of Chronic Disease Risk Factors in Pudong New Area, a total of 7,194 residents from 12 townships and 35 village committees or neighborhood committees were selected. The cohort data in 2016 served as the baseline, and a follow-up was conducted on 5462 individuals from 2019 to 2020. ResultsIn the analysis of stroke incidence, 5,462 subjects were included, with 616 stroke events recorded. The incidence density of stroke was 33.41 per 1000 person-years, while the China standard rate and the world standard rate were 13.78 and 12.52 per 1000 person-years, respectively. The incidence density of stroke rose with increasing quartiles of CVAI. After adjusting for potential confounders, the risk of stroke for males and females with CVAI ≥ 132.11 was 2.492 times (95% CI: 1.457 ∼ 4.260) and 1.759 times (95% CI: 1.070-2.891), respectively, compared to the groups with CVAI < 81.91. Among the eight obesity indicators, including CVAI, Visceral Adiposity Index (VAI), Body Mass Index (BMI), Waist Circumference (WC), Waist Hip Ratio (WHR), Waist Height Ratio (WHtR), Body Adiposity Index (BAI), A Body Shape Index (ABSI),and Body Roundness Index (BRI), CVAI has the highest diagnostic accuracy for female stroke using Receiver Operator Characteristic (ROC) curves (the Area under the ROC curve/AUC = 0.619). Subgroup analysis showed that smoking and dyslipidemia significantly modified the association between CVAI and stroke risk in females (interaction P < 0.05). ConclusionsCVAI is identified as a significant risk factor for stroke and serves as a valuable predictor of stroke, particularly in females.

Association between body roundness index and osteoarthritis: a cross-sectional analysis of NHANES 2011-2018.

The objective of this study was to investigate the potential association between body roundness index (BRI) and the risk of osteoarthritis (OA) in US adults. A cross-sectional analysis consisting of 20,232 participants was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Participants (≥20 years of age) were included and divided into OA and non-OA groups. Then, the demographics and characteristics of the participants were compared between the two groups. The relationship between BRI and OA was assessed using a multivariate logistic regression model with fitted smoothed curve techniques. Additionally, subgroup analyses on the correlation between BRI and OA were performed. The BRI scores in OA group were significantly higher than in the non-OA group (6.60 ± 2.62 vs. 5.46 ± 2.34, p < 0.001). Multivariate logistic analysis revealed that a significantly positive association between BRI and OA (OR = 1.12, 95% CI: 1.09-1.14, p < 0.001). In the subgroup analysis, only the race subgroup showed a significant difference between BRI and OA (p < 0.001). Our findings highlight a significantly positive association between BRI and OA prevalence in the general US population.

Association of body roundness index with female infertility: 2013-2018 NHANES.

This study aims to understand the association between body roundness index (BRI) and female infertility prevalence. Infertility is a public health concern with significant implications for individuals' well-being and rights. All individuals who completed the National Health and Nutrition Examination Survey (NHANES) between 2013 and 2018 were initially included in this cross-sectional study. Following the screening, 2,777 eligible participants were selected for analysis from the original pool of 10,375 participants. Trained operators conducted anthropometric measurements, including height, weight, and waist circumference. The BRI was then calculated based on established research. Data from infertility status questionnaires were gathered from the NHANES database for all participants, with self-reported infertility serving as the study outcome. Multivariable logistic regression and restricted cubic splines (RCS) were employed to investigate the relationship between BRI and infertility. Subgroup analyses were also conducted to further explore the association between BRI and infertility. Upon analyzing the baseline characteristics of all women in the study, notable distinctions were identified in the clinical and demographic features between fertile and infertile women. Our investigation revealed a positive correlation between BRI and the likelihood of infertility in both weighted and unweighted multiple logistic regression models. Additionally, BRI exhibited a significant association with infertility in both continuous and categorical forms. Utilizing RCS curves, we noted a linear escalation in the prevalence of infertility with rising BRI values. Subgroup analyses provided further clarity on these observations. Our study demonstrates a statistically significant positive correlation between BRI and the prevalence of infertility across diverse populations, suggesting potential implications for infertility prevention and treatment. Future prospective cohort studies will explore this association and understand the underlying mechanisms.

Obesity paradox, weight-free anthropometric measures, and major adverse cardiovascular events in the elderly: Insight from the Northern Shanghai Study

Abstract Aims Many studies have investigated the obesity paradox in the elderly. However, besides body mass index (BMI), many other anthropometric measures, such as the waist-to-hip ratio (WHR), provide a better indication of body fat distribution and may be more useful in a geriatric population. Methods 3285 participants aged over 65 years old from the Northern Shanghai Study were included in this analysis. Eight anthropometric measures, including weight-related measures (BMI, weight-adjusted-waist index, body shape index and body surface area) and weight-free measures (WHR, waist-to-height ratio, body roundness index, relative fat mass) were measured and calculated with standard methods. Major adverse cardiovascular events (MACEs) included the non-fatal myocardial infarction, non-fatal stroke or cardiovascular death. Results Participants had an average age of 71.4 years and 1428 (43.47%) were men. The median follow-up was 5.4 years (IQR, 4.4-7.3 years) and 218 events occurred. Participants with obesity (BMI ≥ 28 kg/m2) were associated with a higher risk of MACEs compared with the normal (adjusted Hazard ratio = 1.54, 95% confidence interval (CI): 1.07-2.22, P=0.020). Restricted cubic splines also highlighted the robust correlation between high BMI and high MACEs risk (Pfor overall=0.025, Pfor nonlinear=0.339). Similarly, the aHR for the incidence of MACEs in WHR quartile 4 versus quartile 1 was 1.96 (95% CI: 1.26-3.05, P=0.003). When WHR was examined as a continuous variable, the result remained unaltered (Pfor overall=0.020, Pfor nonlinear=0.353). In adjusted model, all four weight-free measures were significantly associated with increased risk of MACEs (all P&amp;lt;0.05), while only two weight-related measures were related to the risk of MACEs. Conclusion In the elderly, BMI and alternative anthropometric measures showed no evidence of an "obesity paradox". Weight-free measures were more relevant to a risk of MACEs.Take home message

Association between renal function impairment and body roundness index (BRI) in elderly hypertensive patients

Abstract Objective The purpose of this study was to explore the associations of renal function impairment and body roundness index (BRI) in elderly hypertensive patients. Methods This is a community-based observational and cross-sectional study.A total of 1482 elderly hypertensive patients from our center in 2021 were enrolled. Waist-to-hip ratio(WHR) , Body mass index(BMI) and BRI were calculated with validated formulas. According to tri quantile method of BRI level , the patients were divided into low , medium and high BRI groups. The incidence of renal function impairment in the three groups was compared to explore the associations of renal function impairment and BRI in elderly hypertensive patients. Result According to the estimated glomerular filtration rate (eGFR) level, the patients were divided into two groups: impaired renal function group and non impaired renal function group. 133 cases were included in the group with impaired renal function, and 1349 cases were included in the group without impaired renal function. The proportion of patients with impaired renal function was 8%, 497 were in the low BRI group, 491 in the medium BRI group, and 494 in the high BRI group. Comparing the incidence of renal function impairment in patients with different BRI levels, the results showed that the incidence of renal function impairment in patients with high BRI was higher than that in patients with low BRI (7.0%vs.11.5%,p=0.015). The results of binary logistic regression analysis showed that the risk of renal function impairment increased by 19% for each unit of BRI increase (95%CI 1.037-1.122,P=0.024). After adjusting for age, gender, blood lipid, smoking and drinking history, years of hypertension, diabetes, years of diabetes,and random blood glucose levels, the risk of renal function impairment in high BRI group was still significantly higher than low BRI group (OR=1.697,95%CI 1.031-2.794,P=0.038),shows that BRI is an independent risk factor for renal function impairment in elderly hypertension patients. The receiver operating characteristic curve (ROC) results show that the prediction ability of BRI in the whole population is better than that of BMI and waist circumference (WC), and the prediction ability of BRI in elderly female population is the best (AUC=0.569). Conclusion Increasing of BRI is correlated with the occurrence of renal function impairment in elderly hypertension patients, and has the best predictive value for renal function impairment in elderly women with hypertension.

Body shape index (ABSI), body roundness index (BRI) and risk factors of metabolic syndrome among overweight and obese adults: a cross-sectional study

Body shape index (ABSI), body roundness index (BRI) and risk factors of metabolic syndrome among overweight and obese adults: a cross-sectional study

The relationship between dietary phytochemical index and novel anthropometric indices and the severity of diabetic foot ulcers in adults with type 2 diabetes: a cross-sectional study

BackgroundResearch on the relationship between dietary phytochemical intake and the anthropometric indices as well as the diabetic foot ulcers (DFUs) remains inconsistent. We aimed to investigate the associations of dietary phytochemical index (DPI) with the novel anthropometric indices and the severity of DFUs.MethodsThis cross-sectional study was conducted on 339 adults with type 2 diabetes. Dietary intake was assessed using three 24-hour dietary recalls. To quantify the phytochemical content of the diet, the DPI estimation was done through an equation proposed by McCarty. The International Working Group on the Diabetic Foot (IWGDF) criteria and Wagner classification system were applied to assess DFUs. New anthropometric indices including a body shape index (ABSI), body roundness index (BRI) and abdominal volume index (AVI) were calculated based on formulas. We employed analysis of variance (ANOVA), analysis of covariance (ANCOVA) and logistic regression to explore associations between DPI and the anthropometric indices and DFU variables.ResultsOur results revealed no significant association between DPI and the foot ulcer indices, following adjusting for the possible covariates. Furthermore, we also examined the relationship between diabetic neuropathy, as measured by monofilament score, and the DPI. Similarly, we did not find any substantial relationship between the DPI and monofilament score (OR: 1.18; 95% CI: 0.66–2.09; Ptrend = 0.56), as well as biochemical indices. Our analysis did not reveal any significant associations between the DPI and ABSI (OR: 0.70; 95% CI: 0.35–1.38; Ptrend = 0.30), BRI (OR: 0.80; 95% CI: 0.33–1.95; Ptrend = 0.59), and AVI (OR: 1.99; 95% CI: 0.92–4.33; Ptrend = 0.08).ConclusionsOur study revealed no significant links between the DPI and foot ulcer indices, neuropathy measures, and anthropometric indices. These findings imply that factors beyond dietary phytochemical intake may exert greater influence on the development of foot ulcers in diabetes.

Association of ultra-processed food consumption with cardiovascular risk factors among patients with type-2 diabetes mellitus

BackgroundUltra-processed foods mainly have high energy content and density and low nutrients. Unhealthy lifestyles mainly develop cardiovascular diseases and, as a result, unhealthy food patterns.ObjectiveThis study aimed to investigate the relationship between the consumption of ultra-processed foods (UPFs) and the risk of novel cardiovascular disease (CVDs) in type-2 diabetes mellitus patients (T2DM).MethodThis is a cross-sectional study that was conducted on 490 type-2 diabetes mellitus patients. A validated 168-item food frequency questionnaire evaluated food intake. Ultra-processed foods were assessed according to NOVA classification. Cardiovascular risk factors such as Castelli risk index 1 and 2 (CRI-I and II), atherogenic index of plasma (AIP), lipid accumulation product (LAP), and cholesterol index (CI) were assessed by traditional CVD risk factors. The anthropometric indices predicting CVD, such as a body shape index (ABSI), body roundness index (BRI), and abdominal volume index (AVI), were assessed.ResultsEach 20-gram increase in UPF consumption was associated with a significant elevation in serum level of TC [B (SE): 1.214 (0.537); 95% CI: 0.159–2.269] and lower HDL serum concentration [B (SE): −0.371 (0.155); 95% CI: −0.675 to −0.067]. The crude model for CRI 1 [B (SE): 0.032 (0.012); 95% CI: 0.009–0.056], CRI 2 [B (SE): 0.022 (0.009); 95% CI: 0.004–0.040], and AIP [B (SE): 0.006 (0.003); 95% CI: 0.000–0.012] showed significant adverse effects.ConclusionsOur study showed that higher consumption of UPFs is associated with higher chances of developing cardiovascular diseases in T2DM patients.

Association between body roundness index and risk of osteoarthritis: a cross-sectional study

BackgroundThe link between body roundness index (BRI) and osteoarthritis (OA) has yet to be validated. Our aim was to explore this connection between BRI and OA risk.MethodsThis cross-sectional study utilized the 1999–2018 National Health and Nutrition Examination Survey retrieved data. To assess the association between BRI and OA risk, we performed weighted multivariable regression analysis (MVRA), with smooth curve fitting for potential nonlinear association and subgroup analysis and interaction tests for relationships in specific subgroups. A 7:3 ratio was adopted for the random division of the acquired data into training and validation sets. Subsequently, least absolute shrinkage and selection operator regression, along with MVRA, were conducted for the training set to isolate variables for a prediction model. This model was visualized using the nomogram and was followed by evaluation. Finally, the validation set was utilized to validate the model.ResultsThis study enrolled 12,946 individuals. Following the adjustment for all covariables, OA risk increased by 18% with every unit rise in BRI (odd ratio [OR] = 1.18; 95% confidence interval [CI]: 1.13–1.23; P < 0.0001). Upon regarding BRI as a categorical variable, it was divided into quartiles for subsequent analysis. In comparison to quartile 1, the risk of OA was increased in quartile 2 (OR = 1.58; 95% CI: 1.22–2.03; P = 0.0006), quartile 3 (OR = 1.83; 95% CI: 1.40–2.40; P < 0.0001) and quartile 4 (OR = 2.70; 95% CI: 1.99–3.66; P < 0.0001). Smooth curve fitting revealed no non-linear relationships. None of the subgroups showed a statistically significant interaction (all P > 0.05). After selecting the variables, a prediction model was developed. The prediction model exhibited favorable discriminatory power, high accuracy, and potential clinical benefits in training and validation sets.ConclusionsThe BRI was positively associated with OA risk. Our predictive model demonstrated that combining BRI with other easily accessible factors was helpful in assessing and managing high-risk OA groups.

The association between food insecurity and obesity, a body shape index and body roundness index among US adults

Research has established a positive association between food insecurity and obesity, typically assessed by body mass index (BMI); However, studies examining the relationship between food insecurity and measures of body fat content and distribution are lacking. The aim of this study was to examine the association between food insecurity and obesity ([BMI] ≥ 30 kg/m2) and body fat indicators assessed by body roundness index ([BRI] > 6.72) and a body shape index ([ABSI] > 0.08). This is a cross-sectional study using NHANES data 2007–2020. Household food security was assessed by U.S. Food Security Survey Module questionnaire. Multivariable-adjusted binary logistic regression analyses were used to calculate odds ratios and 95% CIs. Compared to those with full food security, the adjusted ORs for obesity were 1.28 (95% CI:1.18, 1.39), 1.40 (95% CI:1.28, 1.53), and 1.43 (95% CI:1.30, 1.57) for those with marginal, low and very low food security, respectively. The corresponding ORs for high BRI were, respectively, 1.39 (95% CI:1.26, 1.52), 1.50 (95% CI:1.36, 1.66), and 1.60 (95% CI:1.43, 1.78). Similar results were observed for ABSI. The analyses of BMI suggested a potential sex difference, as significant associations were found in women, but not in men. This study confirms previous evidence of the positive association between food insecurity and obesity among US adults.

The joint effect of cumulative metabolic parameters on the risk of type 2 diabetes: a population-based cohort study

Background and aimsThis study aimed to examine the cumulative effects of body mass index (BMI), body roundness index (BRI), pulse pressure (PP), triglycerides (TG), high-density lipoprotein cholesterol (HDL) and fasting plasma glucose (FPG) on Type 2 diabetes (T2D) morbidity.MethodsA total of 78,456 participants aged older than 45 years were extracted from basic public health services in China. During the 2-year follow-up, 6,942 individuals had developed T2D. The binary logistic regression models and multinomial logistic regression models were conducted to investigate the effects of cumulative metabolic parameters on incident T2D, prediabetes regression and progression.ResultsWe found statistically deleterious impacts of exposure to high cumulative BMI, BRI, PP, TG and low cumulative HDL on T2D morbidity and prediabetes progression. Compared to the group with low cumulative of all five parameters, the adjusted ORs for new-onset T2D for participants presenting with 1–2, 3, and 4–5 elevated metabolic parameters were 1.41(1.31,1.52), 1.93(1.74,2.13) and 2.21(1.94,2.51), respectively. There was additive interaction between FPG level and cumulative metabolic parameters with T2D. Compared with participants with the lowest quartile of FPG and low cumulative of all 5 parameters, those with the highest quartile of FPG and high cumulative of 4–5 parameters had a 14.63 [95% CI (12.27, 17.42)] higher risk of incident T2D.ConclusionsParticipants with more numbers of high-cumulative metabolic parameters were associated with a higher risk of incident T2D and prediabetes progression. A high level of normal FPG could enhance these risks.

Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study.

We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes. This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices. From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627). Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes.

Examining Variations in Central Adiposity Between US-Born and Foreign-Born Black People Using the Body Roundness Index: Analysis of the National Health and Nutrition Examination Survey, 2011-2018

Examining Variations in Central Adiposity Between US-Born and Foreign-Born Black People Using the Body Roundness Index: Analysis of the National Health and Nutrition Examination Survey, 2011-2018

Clinical utility of novel anthropometric indices in identifying type 2 diabetes mellitus among South African adult females.

To assess the clinical utility of novel anthropometric indices and other traditional anthropometric indices in identifying the risk of type 2 diabetes mellitus (T2D) among South African adult females. In the first South African National Health and Nutrition Examination Survey (SANHANES-1), traditional [body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] and novel [a-body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), conicity index (CI), and Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE)] anthropometric indices were assessed. T2D was diagnosed using glycated haemoglobin (HbA1c) ≥ 6.5% among participants without known T2D. Basic statistics and multiple regression analyses were explored the association between anthropometric indices and newly diagnosed T2D. Receiver operating characteristic (ROC) curve analysis was used to measure the predictive ability of both traditional and novel indices. Among 2 623 participants, 384 (14.6%) had newly diagnosed T2D. All anthropometric indices mean values were significantly higher among participants with T2D (most p < 0.001). Higher mean values increased T2D odds e.g., in the model adjusted for age, employment, residence, and population group, odds ratio (OR) and 95% confidence interval (CI) for T2D with some of anthropometric indices were: 1.86 (1.60-2.15) for WC, 1.84 (1.59-2.13) for WHtR, 1.73 (1.51-1.99) for AVI, 1.71 (1.49-1.96) for BRI and 1.86 (1.57-2.20) for CUN-BAE. The top quartile for all indices had the highest T2D odds (p < 0.05). These outcomes were the highest for WC, AVI, and CUN-BAE and remained so even after removing the confounding effects of age, employment, population group, and residence. Based on the ROC analysis, none of the anthropometrical indices performed excellently (i.e., had an area under the curve [AUC] > 0.80). The WC, WHtR, AVI, BRI, and CUN-BAE, however, performed acceptably (AUCs 0.70-0.79), while also exhibiting corresponding cutoff values of 86.65cm, 0.57, 15.52, 3.83, and 38.35, respectively. The data shows that traditional and novel anthropometric indices similarly identifying newly diagnosed T2D among adult South African females. We recommend the continuing the use of traditional indices, as they are affordable and easy to use in our setting.

Partial replacement of sand by fine-grained crushed waste glass along with fly ash stabilization for geotechnical applications in pavement

Natural sand (NS) is one of the most used engineering materials in almost all types of construction worldwide. Considering environmental sustainability, the replacement of natural sand with crushed glass waste (CWG) can provide a solution for both geo-environmental problems of natural sand depletion and waste glass disposal at a time, since sand and glass share almost similar chemical components. This research aimed to investigate the mechanical behaviors of natural sand replaced with fine CWG particles by 5 %, 10 %, 15 %, 20 %, 25 %, 30 %, and 35 % of dry weight. NS-CWG optimum composition was then stabilized by adding Class C fly ash (FA) from 5 to 35 % of NS-CWG to find out the optimum FA content to stabilize NS-CWG. The effects were analyzed through compaction, direct shear, and California Bearing Ratio (CBR) tests. Test results showed that maximum dry density increased, and optimum moisture content decreased due to adding CWG, and a contrasting effect was found after adding FA. 25 % FA significantly stabilized the NS-CWG mixture's strength parameters, such as increased cohesion, angle of internal friction, improved shear strength by 55.67 %, and increased CBR by 44 %. The decreased roundness index and scanning electronic microscopy (SEM) test results further evaluated and supported the improved geotechnical properties of NS + CWG + FA. The findings of the study can be useful in producing recycled materials for constructing road pavements of sustainable transport network development.