Predictive performance of traditional and novel anthropometric indices for diabetes and hypertension.

Objective: To explore the relationship between anthropometric indices and the incident risk of hypertension, compare novel anthropometric indices with traditional indices in hypertension prediction and establish hypertension prediction models among elderly Chinese. Methods: A total of 27 009 retirees from the Dongfeng Motor Corporation were recruited at baseline in 2008 and the first follow-up was conducted in 2013. After the exclusion of participants less than 60 years old, participants with hypertension, coronary heart disease, stroke, cancer, and those with missing data, a total of 6 784 elderly participants were enrolled in this study. A multivariate logistic regression model was used to analyze the relationship between traditional anthropometric indices, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), novel anthropometric indices, visceral adiposity index (VAI), body shape index (ABSI), body roundness index (BRI), and the incident risk of hypertension. Meanwhile, a multivariate logistic regression model was used to establish hypertension prediction models. Receiver operating characteristic (ROC) curve was applied to compare the prediction ability of different models. Results: A total of 1 787 incident cases of hypertension were identified, with the incidence of hypertension about 27.59%. Significant positive associations were detected between BMI, WC, WHtR, VAI, BRI and the incident risk of hypertension after adjusting for potential confounders (all P values<0.05). In men, the OR (95%CI) (upper tertile vs lower tertile) was 1.45 (1.22-1.73) for VAI, and 1.86 (1.55-2.23) for BRI. In women, the OR (95% CI) (upper tertile vs lower tertile) was 1.55 (1.22-1.96) for VAI, and 1.60 (1.27-2.01) for BRI. For ABSI, no significant association was observed in either men (OR (95%CI): 1.07 (0.90-1.28)) or women (OR (95%CI): 1.03 (0.82-1.29), both P values >0.05). The basic hypertension prediction model included age, drinking (only in men), education status (only in men), systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting blood glucose levels. Based on the basic prediction model, BMI (in men: AUC=0.697) and BRI (only in men: AUC=0.696) improved area under ROC curve (AUC) significantly (P<0.05). BMI was the strongest predictor in both men (AUC=0.697) and women (AUC=0.685) in the extended model. Conclusion: Significant positive associations were detected between BMI, WC, WHtR, VAI, BRI and the incident risk of hypertension among elderly Chinese. BMI was the strongest predictor in hypertension prediction model compared with other anthropometric indices.

Background: Measurement of an individual’s anthropometric indices is one of the many methods for determining physical health status. This study was designed to test the reliability of some anthropometric indices in predicting central obesity among undergraduate students in Edo State, Nigeria. Materials and Methods: Random sampling was used in recruiting 843 undergraduate students aged 15–31 years old from Edo State University, Uzairue, Edo State, into this cross-sectional study. Traditional and new Anthropometric indices were determined by standard methods, and the area under the curve (AUC) was calculated. Data were analyzed using Student’s t-test, Chi-square, and Mann–Whitney test, and correlations were determined and were deemed statistically significant at P &lt; 0.05. Results: The majority of males (52.5%) and females (50.7%) were aged 19–22 years. Weight, height, waist circumference (WC), and mid-upper arm circumference (MUAC) were significantly higher in males than females (P &lt; 0.05). Conversely, body mass index (BMI), body roundness index (BRI), and body adiposity index (BAI) were significantly higher in females compared to males (P &lt; 0.05). The female participants had significantly higher pulse rates, oxygen saturation, and pulse pressure than the males (P &lt; 0.05). The AUC constructed showed WC and Waist–height ratio predicted central obesity in both genders (AUC ≥ 0.9). A significant positive correlation of WHtRatio with MUAC was observed in female participants, while a significant inverse correlation was observed between BAI and a body shape index in male participants in this study. Conclusion: Determining cutoff values for these indices, particularly in adolescents in sub-Saharan Africa, is imperative.

Cardiometabolic syndrome (CMS), marked by abdominal obesity and metabolic dysregulation, is associated with a heightened risk of cardiovascular disease (CVD). Compared to the traditional anthropometric predictors represented by body mass index (BMI) and waist circumference (WC), body roundness index (BRI) appears to provide a more accurate reflection of the abdominal fat distribution associated with metabolic diseases. Therefore, this study intends to investigate the association of BRI with the risk of CVD and its components including congestive heart failure (CHF), coronary heart disease (CHD), angina, heart attack, and stroke in patients with CMS. At the same time, we hypothesized that BRI would identify CVD better than BMI or WC. Data from the 2009-2018 National Health and Nutrition Examination Survey (NHANES). Logistic regression models were mainly utilized to evaluate the relationship between BRI and CVD in patients with CMS, including smooth curve analysis, threshold effects analysis, subgroup analysis and multiple imputation. In addition, receiver operating characteristic (ROC) curves were used to assess the ability of BRI to predict CVD. The logistic regression model showed a positive association between the BRI and CVD. The highest quartile of BRI (Q4) showing the strongest association with CVD. The smoothed curve revealed a linear relationship between BRI and CVD, but a U-shaped association between the BRI and CHF. For CVD, stratified analyses did not show significant difference between strata. For CHF, BMI interacted with the association, with BRI being associated with decreased risk of CHF in a subgroup of normal weight subjects and increased risk of CHF in a subgroup of obese subjects. The multiple imputation further confirmed the robustness of these results. Additionally, the ROC curve indicated that BRI, BMI and WC had predictive power for CVD and CHF (AUC > 0.05). BRI has similar predictive power to WC but better than BMI. An elevated BRI is associated with a heightened risk of CVD in patients with CMS. BRI has similar ability to predict CVD and CHF as WC, but superior to BMI.

The association between aging and insulin resistance has been unclear. We evaluated the effects of aging on visceral fat area (VFA) and subcutaneous fat area (SFA) measured by computed tomography, homeostasis model assessment of insulin resistance (HOMA-IR), and homeostasis model assessment of β-cell function (HOMA-β) among participants in a comprehensive health checkup. This study included 1,050 male and 700 female Japanese participants aged 35-84 years in our comprehensive health checkup program during a 2-year period. Participants who were on medication for diabetes mellitus or those who met the pre-determined exclusion criteria were excluded. The participants were divided into five groups according to age. As age increased from Group 1 to Group 5, both VFA and VFA/SFA ratio significantly increased in both male and female participants, whereas log[HOMA-IR] linearly and significantly decreased (p＜0.0001 for each). Body mass index (BMI), waist circumference (WC), and SFA increased with age in female participants but decreased in male participants. Although age was not or only weakly correlated with log[glucose] and log[HbA1c] in both male and female participants, age showed significant negative correlations with log[insulin], log[HOMA-IR], and log[HOMA-β] even after adjusting for BMI and WC (p＜0.0001 for each). Serum high-molecular-weight adiponectin (HMW-ADPN) levels were measured in 114 male and 87 female participants, and log[HMW-ADPN] was negatively correlated with log[HOMA-IR] and positively correlated with age in both male and female participants. In the present study, both male and female participants showed increases in VFA and VFA/SFA ratio and decreases in insulin, HOMA-IR, and HOMA-β with age.

Objective: Body mass index (BMI), the most commonly used body composition assessing indice, has recently been challenged by two novel anthropometric indices, a body shape index (ABSI) and body roundness index (BRI), in arterial stiffness predicting capacity[1,2]. The purpose of this study was to detect and compare the different predictive capacities of the four anthropometric indices (ABSI, BRI, waist-hip ratio (WHR) and BMI) in predicting hypertensive target organ damages (HTODs). Design and method: Overall, 3077 community-dwelling elderly Chinese (age &gt; 65 years, 1329 men and 1748 women) in northern Shanghai were enrolled prospectively from June 2014 to August 2019. ABSI and BRI were calculated with validated formula. HTODs were defined as three levels: (1) left ventricular hypertrophy (LVH), (2) arterial stiffness (AS) and lower limb atherosclerosis (LLA), (3) micro-albuminuria (MAU). Multivariate linear and logistic regression were performed to detect the relations between anthropometric indices and HTODs. Results: Spearman correlation analysis revealed that all anthropometric indices were correlated with HTODs indices (all P &lt; 0.001). In multivariate logistic regression models, compared to the lowest quartiles, participants with the highest quartiles of ABSI, BRI and WHR all exhibited a significantly higher risk of LVH, AS and MAU independent of confounders and BMI (all P for trend &lt; 0.01). Results of receiver operator characteristic (ROC) analysis performed within the female subgroup demonstrated that BRI and WHR were the better anthropometric indices in predicting HTODs compared to BMI. However, similar trend disappeared in the male subgroup. Further comparison analysis about the predictive priorities in the female subgroup were tested with stepwise logistic regression, after all anthropometric indices were put into models, only BRI stayed and was significantly associated higher prevalence of LVH (OR = 1.42, 95%CI 1.30∼1.55) and LLA (OR = 1.48, 95%CI 1.23∼1.77) together with WHR stayed to predict higher risks of AS (OR = 1.30, 95%CI 1.18∼1.43) and MAU (OR = 1.48, 95%CI 1.28∼1.72, all P &lt; 0.01). Conclusions: Novel anthropometric indices, especially BRI and WHR, compared to the conventional indice BMI, have the superior capacities in predicting HTODs in the elderly female Chinese population.

Anthropometric indices for predicting incident cardiovascular disease: a 13-year follow-up study in a Japanese population.

This study investigates the extent and speed of dynamic adjustment of labour supply to changes in labour demand, government policies and autonomous trends. We estimate error-correction models (ECMs) for male and female participation rates in the Netherlands between 1969 and 2004. The results show significant short and long-run effects of labour demand as well as a negative autonomous trend for male participation. In contrast, we find no significant long-run labour-demand effects and a very strong positive autonomous trend for female participation. Including female and male participation as additional explanatory variables in the male and female ECMs, respectively, reveals significant substitution effects between female and male participation. For male participation the substitution effects from female participation account for the negative trend in the basic ECM, while for female participation the substitution effects from male participation counterbalance labour demand effects that are now significant. In addition, we find very significant breakpoints in male and female participation at 1994, which indicate the effects of exogenous participation-promoting policies by the Dutch governments after 1994. The adjustments of the participation rates to changes in labour demand, government policies and autonomous trends are moderately fast.

Male and Female Labour Force Participation: The Role of Dynamic Adjustments to Changes in Labour Demand, Government Policies and Autonomous Trends

BackgroundThis study aimed to assess the relationship of a new anthropometric index with left ventricular hypertrophy (LVH) in hypertensive patients among the Han Chinese.MethodsThe study is a community-based cross-sectional study that included 4639 patients with hypertension and integrated clinical and echocardiographic data. Left ventricular (LV) mass was measured by transthoracic echocardiography. LVH was diagnosed by using the criteria of left ventricular mass indexed (LVMI) over 49.2 g/m2.7 for men and 46.7 g/m2.7 for women. Quartiles of a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) were used regarding LVH prevalence. The logistic regression model was used to determine the odds ratio (OR) and 95% confidence intervals (CI) of the new anthropometric index and LVH. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of the obesity indices for LVH risk.ResultsThe prevalence of LVH increased across quartiles for ABSI, BRI, BMI, and WC. Comparing the lowest with the highest quartile, adjusted OR (95% CI) for LVH were significantly different for BRI 3.86 (3.12–4.77), BMI 3.54 (2.90–4.31), and WC 2.29 (1.88–2.78). No association was observed for ABSI. According to ROC analysis, the area under the curve (AUC) of BRI was (AUC: 0.653, 95% CI 0.637–0.669), BMI (AUC: 0.628, 95% CI 0.612–0.644), WC (AUC: 0.576, 95% CI 0.559–0.593), ABSI (AUC: 0.499, 95% CI 0.482–0.516).ConclusionsThis study shows that LVH prevalence increased per quartile across the Han Chinese population with hypertension for ABSI, BRI, BMI, and WC. There is a significant association between BRI and LVH in hypertensive people, while ABSI was not. BRI showed potential for use as an alternative obesity measure in the assessment of LVH.

Background and aimsControversy remains regarding the prediction effects of different adiposity measure indicators for the risk of cardiovascular disease (CVD). Our study aimed to assess the associations of three traditional anthropometric indicators, namely, waist circumference (WC), waist-to-height ratio (WHtR), and body mass index (BMI) as well as three non-traditional anthropometric indicators, namely, the Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), and body shape index (ABSI), with the risk of CVD among Southwest Chinese population.MethodsOur study was based on the Guizhou Population Health Cohort Study (GPHCS) conducted from 2010 to 2020. A total of 9,280 participants were recruited from 12 areas in Guizhou Province, China, from November 2010 to December 2012, and followed up for major chronic diseases until December 2020. A total of 7,837 individuals with valid data were included in this analysis. The gender-specific associations of WC, WHtR, BMI, CVAI, LAP, and ABSI with CVD were evaluated using Cox proportional hazards models. Receiver operating characteristic (ROC) curve analysis was used to estimate the prediction powers of different indicators for CVD.ResultsNo association of six indicators with CVD was observed among male participants. Female participants with either WC-based central obesity (HR: 1.82, 95% CI: 1.12–2.97) or WHtR-based central obesity (HR: 1.68, 95% CI: 1.07–2.64) had a higher risk of CVD, after adjusted for age, area, ethnic group, smoking, alcohol drinking, MET, previous history of diabetes, hypertension and dyslipidemia, medication use, and nutraceutical intake. Compared with female participants in the lowest quartile (Q1), those in the highest quartile (Q4) of WHtR (HR: 2.24, 95% CI: 1.17–4.27), CVAI (HR: 3.98, 95% CI: 1.87–8.49), and ABSI (HR: 1.94, 95% CI: 1.06–3.52) had an increased risk for incident CVD. CAVI showed the maximum predictive power of CVD with the biggest AUC of 0.687 (95% CI: 0.654–0.720) compared to other indicators in female participants.ConclusionsVisceral adiposity measures, especially CVAI, are stronger predictive indicators of CVD among female and not male participants in Southwest China. Different anthropometric indexes need to be combined to comprehensively assess health risks.

BackgroundThe Body Mass Index (BMI) and Waist Circumference (WC) are well-used anthropometric predictors for cardiovascular diseases (CVD), but their validity is regularly questioned. Recently, A Body Shape Index (ABSI) and Body Roundness Index (BRI) were introduced as alternative anthropometric indices that may better reflect health status.ObjectiveThis study assessed the capacity of ABSI and BRI in identifying cardiovascular diseases and cardiovascular disease risk factors and determined whether they are superior to BMI and WC.Design and Methods4627 Participants (54±12 years) of the Nijmegen Exercise Study completed an online questionnaire concerning CVD health status (defined as history of CVD or CVD risk factors) and anthropometric characteristics. Quintiles of ABSI, BRI, BMI, and WC were used regarding CVD prevalence. Odds ratios (OR), adjusted for age, sex, and smoking, were calculated per anthropometric index.Results1332 participants (27.7%) reported presence of CVD or CVD risk factors. The prevalence of CVD increased across quintiles for BMI, ABSI, BRI, and WC. Comparing the lowest with the highest quintile, adjusted OR (95% CI) for CVD were significantly different for BRI 3.2 (1.4–7.2), BMI 2.4 (1.9–3.1), and WC 3.0 (1.6–5.6). The adjusted OR (95% CI) for CVD risk factors was for BRI 2.5 (2.0–3.3), BMI 3.3 (1.6–6.8), and WC 2.0 (1.6–2.5). No association was observed for ABSI in both groups.ConclusionsBRI, BMI, and WC are able to determine CVD presence, while ABSI is not capable. Nevertheless, the capacity of BRI as a novel body index to identify CVD was not superior compared to established anthropometric indices like BMI and WC.

Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40–74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data

BackgroundMetabolic syndrome (MetS), a condition of metabolic disorders, is now causing large disease burden around the world. This study aimed to update the prevalence of MetS in Jiangsu Province of China and evaluate the predicting value of five anthropometric measures including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI) and body roundness index (BRI) in MetS.Methods8040 participants from 12 survey sites were enrolled into this cross-sectional study by multi-stage stratified cluster random sampling method from 2014 nutrition and diet investigation project in Jiangsu Province. The transformation of sex-specific z-score made the comparison meaningful when conducting the logistic analysis between anthropometric indices and MetS. The abilities of anthropometric indices to predict MetS were evaluated by the receiver operating characteristic curve (ROC). Delong test was applied to compare area under different ROC curves.ResultsThe prevalence of MetS in Jiangsu Province was 35.2% and the standardized prevalence was 34.8%. WC, BMI, WHtR, ABSI and BRI z-scores were positively related to MetS and its components. WC, WHtR and BRI z-score had stronger associations with MetS than BMI and ABSI in both male and female population. WC, WHtR and BRI had larger area under ROC curve than BMI and ABSI in male and female. WC in men had the largest area under the ROC curve, significantly higher than the other four measures of BMI, WHtR, ABSI and BRI (Z value = 9.08, 2.88, 16.73, 2.75 respectively). Among women, WC, WHtR and BRI had larger area under the ROC curve than BMI and ABSI, but the area under the WC, WHtR and BRI curve were not significantly different after the pairwise comparison by the Delong test. The optimal cut-off values of WC, WHtR and BRI for predicting MetS was 85.25 cm, 0.52 and 3.61 in male, 80.05 cm, 0.51 and 3.83 in female.ConclusionMetS has become one of the major chronic diseases in Jiangsu Province. WC was better than other four indices in predicting MetS among male population in Jiangsu. WC, WHtR and BRI had superior abilities than BMI/ABSI in predicting MetS among female population.

The purpose of this study is to determine whether target games have a significant effect on the accuracy of smash and lob shots among male and female participants in the Badminton Club at Yogyakarta State University. This study used an experimental method. The subjects of this research were 16 male and female participants in the Badminton Club at Yogyakarta State University. The data analysis technique employed was a t-test with a 5% significance level. The results showed that the calculated t-value (14.669) &gt; t-table (2.36). Thus, it can be concluded that target games have a significant effect on the accuracy of smash shots among male participants in the Badminton Club at Yogyakarta State University. The results also showed that the calculated t-value (32.524) &gt; t-table (2.36), indicating that target games have a significant effect on the accuracy of smash shots among female participants in the Badminton Club at Yogyakarta State University. The results further revealed that the calculated t-value (5.061) &gt; t-table (2.36), which concludes that target games have a significant effect on the accuracy of lob shots among male participants in the Badminton Club at Yogyakarta State University. The results also showed that the calculated t-value (7.754) &gt; t-table (2.36), indicating that target games have a significant effect on the accuracy of lob shots among female participants in the Badminton Club at Yogyakarta State University. The results showed that the calculated t-value (2.332) &gt; t-table (2.144), concluding that there is a difference in the effect of target games on the accuracy of smash shots between male and female participants in the Badminton Club at Yogyakarta State University. The results also indicated that the calculated t-value (2.586) &gt; t-table (2.144), concluding that there is a difference in the effect of target games on the accuracy of lob shots between male and female participants in the Badminton Club at Yogyakarta State University.

No existing reports demonstrate the association between anthropometric indices (body mass index, waist circumference, body roundness index, a body shape index) and hypertension according to sex and age in the general Japanese population. This retrospective analysis involved individuals aged 30-69 years who underwent annual medical checkups at Kagoshima Koseiren Hospital in 2005-2019, and who did not meet hypertension criteria at baseline. The outcome was hypertension incidence after 5 years, and its association with baseline anthropometric indices was evaluated using multivariable logistic regression analysis by sex and age. In 41,902 participants (age 52.3 ± 10.2 years, 47.7% men), 7622 individuals (18.2%) developed hypertension after 5 years. Body mass index, waist circumference, and body roundness index were significantly associated with the development of hypertension in both men and women across all age categories from 30 s to 60 s. In the population with a body mass index <25 kg/m2, waist circumference and body roundness index were significantly associated with hypertension after 5 years. A body shape index was significantly associated with the development of hypertension in men in their 40 s and 50 s but not in women of any age group. The area under the curve values were lower for a body shape index than for body mass index, waist circumference, and body roundness index in both men and women of all age groups. A body shape index was not a stronger indicator for 5-year hypertension incidence than body mass index, waist circumference, or body roundness index in both men and women across age groups from their 30s-60 s. The results of this study will help to more efficiently identify populations at high risk of developing hypertension and provide preventive interventions. A total of 41,902 participants from health checkup programs were stratified by gender and age to investigate the association between baseline anthropometric indices and hypertension incidence over a 5-year period. BMI, WC, and BRI were almost equally effective and showed a better association with risk of developing hypertension in women and young adults compared to men and old adults. Conversely, ABSI showed no greater association than BMI or WC in any age group in both men and women. ABSI, a body shape index; AUC, area under the curve from receiver operating characteristic curve analysis; BMI, body mass index; BRI, body roundness index; WC, waist circumference.