Establishment and Evaluation of a Noninvasive Metabolism-Related Fatty Liver Screening and Dynamic Monitoring Model: Cross-Sectional Study.

BACKGROUND: Metabolically associated fatty liver disease (MAFLD) insidiously affects people's health, and many models have been proposed for the evaluation of liver fibrosis. However, there is still a lack of noninvasive and sensitive models to screen MAFLD in high-risk populations. OBJECTIVE: The purpose of this study was to explore a new method for early screening of the public and establish a home-based tool for regular self-assessment and monitoring of MAFLD. METHODS: In this cross-sectional study, there were 1758 eligible participants in the training set and 200 eligible participants in the testing set. Routine blood, blood biochemistry, and FibroScan tests were performed, and body composition was analyzed using a body composition instrument. Additionally, we recorded multiple factors including disease-related risk factors, the Forns index score, the hepatic steatosis index (HSI), the triglyceride glucose index, total body water (TBW), body fat mass (BFM), visceral fat area, waist-height ratio (WHtR), and basal metabolic rate. Binary logistic regression analysis was performed to explore the potential anthropometric indicators that have a predictive ability to screen for MAFLD. A new model, named the MAFLD Screening Index (MFSI), was established using binary logistic regression analysis, and BFM, WHtR, and TBW were included. A simple rating table, named the MAFLD Rating Table (MRT), was also established using these indicators. RESULTS: The performance of the HSI (area under the curve [AUC]=0.873, specificity=76.8%, sensitivity=81.4%), WHtR (AUC=0.866, specificity=79.8%, sensitivity=80.8%), and BFM (AUC=0.842, specificity=76.9%, sensitivity=76.2%) in discriminating between the MAFLD group and non-fatty liver group was evaluated (P<.001). The AUC of the combined model including WHtR, HSI, and BFM values was 0.900 (specificity=81.8%, sensitivity=85.6%; P<.001). The MFSI was established based on better performance at screening MAFLD patients in the training set (AUC=0.896, specificity=83.8%, sensitivity=82.1%) and was confirmed in the testing set (AUC=0.917, specificity=89.8%, sensitivity=84.4%; P<.001). CONCLUSIONS: The novel MFSI model was built using WHtR, BFM, and TBW to screen for early MAFLD. These body parameters can be easily obtained using a body fat scale at home, and the mobile device software can record specific values and perform calculations. MFSI had better performance than other models for early MAFLD screening. The new model showed strong power and stability and shows promise in the area of MAFLD detection and self-assessment. The MRT was a practical tool to assess disease alterations in real time.

Normoglycemia and type 2 diabetes: exploring secreted frizzled-4, insulin resistance, and waist-height ratio.

The current study was planned to compare serum levels of secreted frizzled related protein-4, insulin resistance and waist-to-height ratio in individuals with and without a diabetic background, and to assess the correlation of these markers with family history of diabetes. The cross-sectional comparative study comprised 80 subjects with confirmed normal glucose tolerance values. Parameters assessed included secreted frizzled related protein-4, fasting glucose, random glucose, fasting insulin, homeostasis model of assessment of insulin resistance and waist-toheight ratio values. Those without a diabetic background had significantly higher frizzled related protein-4 levels (p=0.02). Although subjects with family history of diabetes showed higher mean fasting glucose, waist circumference and waist-to-height ratio, these differences were not statistically significant (p>0.05). However, there was a strong positive correlation with waist circumference, waistto- height ratio, fasting insulin and homeostasis model of assessment of insulin resistance (p=0.0001). There was no significant correlation of diabetic background with frizzled related protein-4 SFRP-4, homeostasis model of assessment of insulin resistance and waist-to-height ratio (p>0.05).

Waist-height ratio and body mass index as indicators of obesity and cardiometabolic risk in Korean children and adolescents.

PURPOSE: We assessed the clinical relevance of waist-height ratio (WHtR) as an indicator of cardiometabolic risk and body fat mass measured by dual-energy x-ray absorptiometry (DXA) among Korean children and adolescents. METHODS: Data from 1,661 children and adolescents aged 10-18 years who participated in the Korea National Health and Nutrition Examination Survey were analyzed. Unadjusted Pearson correlation, age- and sex-adjusted Pearson correlation, and multiple linear regression analyses were performed to investigate the relationships between WHtR standard deviation score (SDS) and cardiometabolic risk factors, as well as DXA-assessed parameters. RESULTS: WHtR SDS was correlated with cardiometabolic risk factors, including systolic blood pressure, glucose, total cholesterol, high-density lipoprotein cholesterol, triglyceride, and low-density lipoprotein cholesterol, as well as DXA-assessed parameters such as lean mass SDS, fat mass SDS, and fat mass percentage SDS in both whole body and trunk using an adjusted Pearson correlation analyses among all participants (p<0.001). WHtR SDS was strongly correlated with whole-body fat mass and trunk fat mass (r=0.792, p<0.001 and r=0.801, p<0.001, respectively) whereas WHtR SDS had a low correlation coefficient with whole-body lean mass and trunk lean mass SDS (r=0.512, p<0.001 and r=0.487, p<0.001, respectively). In multiple linear regression analyses, WHtR SDS was significantly associated with whole-body and trunk fat mass after adjustment for confounders. CONCLUSION: Cardiometabolic risk factors and body fat mass assessed by DXA in Korean children and adolescents were highly correlated with WHtR. Additionally, WHtR has an advantage in distinguishing fat-free mass. WHtR can be a useful and convenient clinical indicator of cardiometabolic risk factors.

The nutritional metabolic risk index as a predictor of all-cause and cardiovascular mortality: A national cohort study.

BACKGROUND: Recent studies show that malnutrition increases all-cause mortality by 1.11 times and cardiovascular mortality by 2.60 times. Similarly, metabolic syndrome raises overall mortality by 40% and cardiovascular mortality by 37%. This research assesses the Nutritional Metabolic Risk Index (NMRI) for predicting these mortality risks. METHODS: We analyzed data from 14,209 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, where the NMRI was calculated based on the ratio of GNRI to TyG-WHtR. The relationship between NMRI and mortality was investigated using Kaplan-Meier methods and Cox regression models, with restricted cubic splines (RCS) employed to examine non-linear associations. The predictive capabilities of NMRI, GNRI, and TyG-WHtR for mortality were assessed using receiver operating characteristic curve (ROC) curve analysis. RESULTS: Over a median follow-up period of 89 months, there were 1358 all-cause deaths and 345 cardiovascular deaths recorded. Cox regression analysis indicated that each unit increase in NMRI was associated with an 8% reduction in all-cause mortality risk and a 15% reduction in cardiovascular mortality risk. RCS analysis found a nonlinear negative correlation between NMRI and both all-cause and cardiovascular mortality. NMRI demonstrated superior predictive accuracy for all-cause mortality (AUC: 0.696, 95% CI: 0.682-0.710) and cardiovascular mortality (AUC: 0.713, 95% CI: 0.689-0.737) compared to GNRI and TyG-WHtR (P < 0.05). CONCLUSIONS: The NMRI is inversely associated with the risk of all-cause and cardiovascular mortality in American adults.

Anthropometric indicators and cardiovascular diseases risk in pre-diabetic and diabetic adults: NHANES 1999-2018 cross-sectional analysis.

BACKGROUND: Since cardiovascular disease (CVD) stands as the primary cause of death in those with diabetes, and given the substantial influence of obesity as a common risk factor for both diabetes and atherosclerotic conditions, this investigation sought to find the relationship between anthropometric indicators and CVD risk within these populations. METHODS: Our study examined 36,329 adults, including those with diagnosed diabetes, pre-diabetes, and without diabetes from National Health and Nutrition Examination Survey (NHANES) data spanning 1999 to 2018. Various anthropometric indicators such as body mass index (BMI), waist circumference, weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), weight, and height were assessed. Baseline characteristics were compared among the three groups after weighting. Participants were then grouped based on anthropometric indicators, and logistic regression models were used to analyze the association between these indicators and CVD risk in the total diabetes group (including diabetic and pre-diabetic individuals). Threshold effect analysis was conducted to explore nonlinear relationships, and mediation analyses assessed whether serum parameters influenced these relationships. RESULTS: This cross-sectional study involved 36,329 participants, weighted to a count of approximately 160.9 million, including over 45.9 million pre-diabetic individuals and around 16.6 million diabetic individuals. Baseline analysis showed significant associations between all six anthropometric indicators and CVD risk across patients with different diabetes statuses. Weighted restricted cubic spline (RCS) curve analysis highlighted increased CVD risk among the total diabetes group for each anthropometric indicator compared to the non-diabetic group. Anthropometric indicators were then divided into quartiles, and after adjusting for confounders, Model 3 revealed that the highest BMI group had a heightened risk of CVD compared to the lowest BMI group. Similar trends were observed in the WWI and WHtR subgroups. Threshold effect analysis of anthropometric indicators unveiled nonlinear associations between waist circumference, height, WWI and CVD risk. Mediation analysis suggested that lipid parameters, especially HDL, significantly mediated these relationships. CONCLUSION: In individuals with diabetes and pre-diabetes, BMI, weight, and WHtR displayed a consistent, linear increase correlation with CVD risk. Conversely, the link between waist circumference, height, and WWI and CVD risk showcased a more complex, nonlinear pattern. Moreover, HDL level emerged as notable mediator in the association between anthropometric indicators and the risk of CVD.

Association between triglyceride glucose-waist height ratio index and cardiovascular disease in middle-aged and older Chinese individuals: a nationwide cohort study.

BACKGROUND: The triglyceride-glucose (TyG) index and its combination with obesity indicators can predict cardiovascular diseases (CVD). However, there is limited research on the relationship between changes in the triglyceride glucose-waist height ratio (TyG-WHtR) and CVD. Our study aims to investigate the relationship between the change in the TyG-WHtR and the risk of CVD. METHODS: Participants were from the China Health and Retirement Longitudinal Study (CHARLS). CVD was defined as self-reporting heart disease and stroke. Participants were divided into three groups based on changes in TyG-WHtR using K-means cluster analysis. Multivariable binary logistic regression analysis was used to examine the association between different groups (based on the change of TyG-WHtR) and CVD. A restricted cubic spline (RCS) regression model was used to explore the potential nonlinear association of the cumulative TyG-WHtR and CVD events. RESULTS: During follow-up between 2015 and 2020, 623 (18.8%) of 3312 participants developed CVD. After adjusting for various potential confounders, compared to the participants with consistently low and stable TyG-WHtR, the risk of CVD was significantly higher in participants with moderate and increasing TyG-WHtR (OR 1.28, 95%CI 1.01-1.63) and participants with high TyG-WHtR with a slowly increasing trend (OR 1.58, 95%CI 1.16-2.15). Higher levels of cumulative TyG-WHtR were independently associated with a higher risk of CVD events (per SD, OR 1.27, 95%CI 1.12-1.43). CONCLUSIONS: For middle-aged and older adults, changes in the TyG-WHtR are independently associated with the risk of CVD. Maintaining a favorable TyG index, effective weight management, and a reasonable waist circumference contribute to preventing CVD.

Association of triglyceride glucose-related parameters with all-cause mortality and cardiovascular disease in NAFLD patients: NHANES 1999-2018.

BACKGROUND: The relationship between the triglyceride-glucose (TyG) index and its derived index, the triglyceride glucose-waist height ratio (TyG-WHtR), with mortality and cardiovascular diseases (CVDs) in patients with non-alcoholic fatty liver disease (NAFLD) remains unclear. METHODS: This study enrolled 6627 adults aged 18 and above diagnosed NAFLD from the National Health and Nutrition Examination Survey (NHANES, 1999-2018). Binary weighted logistic regression analyses, cox proportional hazards model and restricted cubic spline (RCS) were used to analyze the relationship between TyG and TyG-WHtR with all-cause mortality, CVD mortality and CVDs. Mediation analysis explored the mediating role of glycohemoglobin, insulin and hypertension in the above relationships. Meanwhile, the incremental predictive value of the TyG index and TyG-WHtR was further assessed. RESULTS: Except for no significant association between the TyG index and both all-cause mortality and chronic heart failure (CHF), both TyG and TyG-WHtR exhibited significant positive correlations or trends of positive correlation with all-cause mortality, CVD mortality, total-CVD, CHF, coronary heart disease (CHD) and angina pectoris. For all-cause mortality, CVD mortality and CHF, TyG-WHtR was a better predictor than TyG (TyG-WHtR: HR 1.31, 95%CI 1.03-1.66; HR 2.22, 95%CI 1.42-3.47; OR 3.99, 95%CI 1.79-8.93). In contrast, TyG index demonstrated a stronger association with total-CVD, CHD and angina pectoris (TyG index: OR 2.00, 95%CI 1.26-3.18; OR 1.85, 95%CI 1.19-2.91; OR 2.93, 95%CI 1.23-7.00). RCS analysis showed that after adjusting for covariates, most of the aforementioned relationships were linear(P overall < 0.0001, P-nonlinear > 0.05), while the associations of the TyG index and TyG-WHtR with all-cause mortality and CHF were non-linear(P overall < 0.0001, P nonlinear < 0.05). The addition of the TyG index and TyG-WHtR to the basic model for outcomes improved the C-statistics, net reclassification improvement value, and integrated discrimination improvement value. CONCLUSIONS: The predictive value of TyG or TyG-WHtR for all-cause mortality and cardiovascular risk in NAFLD patients was significant. The TyG index and TyG-WHtR might be valid predictors of cardiovascular outcomes of patients with NAFLD.

Association of triglyceride-glucose index and its related parameters with atherosclerotic cardiovascular disease: evidence from a 15-year follow-up of Kailuan cohort.

BACKGROUND: Triglyceride glucose (TyG) index and its related parameters have been introduced as cost-effective surrogate indicators of insulin resistance, while prospective evidence of their effects on atherosclerotic cardiovascular disease (ASCVD) remained scattered and inconsistent. We aimed to evaluate the association of TyG and its related parameters with new-onset ASCVD, and the predictive capacity were further compared. METHOD: A total of 95,342 ASCVD-free participants were enrolled from the Kailuan study. TyG and its related parameters were defined by fasting blood glucose, triglyceride, body mass index (BMI), waist circumstance (WC) and waist-to-height ratio (WHtR). The primary outcome was incident ASCVD, comprising myocardial infarction (MI) and ischemic stroke (IS). Cox proportional hazard models and restricted cubic spline (RCS) analyses were adopted to investigate the association between each index and ASCVD. The C-index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were used for comparison of their predictive value for ASCVD. RESULTS: During a median follow-up of 15.0 years, 8,031 new cases of ASCVD were identified. The incidence rate of ASCVD increased along with elevated levels of each index, and the relationships were found to be nonlinear in the RCS analyses. The hazard ratio (HR) and 95% confidence interval (95% CI) for ASCVD was 1.39 (1.35, 1.43), 1.46 (1.41, 1.50), 1.50 (1.46, 1.55), and 1.52 (1.48, 1.57) per 1 IQR increase of baseline TyG, TyG-BMI, TyG-WC, and TyG-WHtR, respectively, and the association were more pronounced for females and younger individuals aged < 60 years (Pfor interaction<0.05). Using the updated mean or time-varying measurements instead of baseline indicators did not significantly alter the primary findings. Additionally, TyG-WC and TyG-WHtR showed better performance in predicting risk of ASCVD than TyG, with the IDI (95% CI) of 0.004 (0.001, 0.004) and 0.004 (0.001, 0.004) and the category-free NRI (95% CI) of 0.120 (0.025, 0.138) and 0.143 (0.032, 0.166), respectively. Similar findings were observed for MI and IS. CONCLUSIONS: Both the TyG index and its related parameters were significantly and positively associated with ASCVD. TyG-WC and TyG-WHtR had better performance in predicting incident ASCVD than TyG, which might be more suitable indices for risk stratification and enhance the primary prevention of ASCVD.

Anthropometric evaluation through images: Findings from the SCANNER software package.

OBJECTIVE: To compare the waist-to-height ratio (WHtR) agreement between synthetic data and the Smart Computerized Anthropometric NavigatioN and Evaluation Resource (SCANNER) software package. METHODS: One hundred and ten 3D digital humans (55 for each sex) were created to obtain synthetic values. WHtR was obtained through the waist circumference and height division, both in centimeters. These data were programmed and obtained directly from the synthetic models. SCANNER v0.01 was coded by the researchers using Matlab. Differences between the objective WHtR and the one the SCANNER software package estimated were quantified using standard errors, Spearman's correlation and the Bland-Altman plot. RESULTS: Using the Spearman correlation, an agreement level of 0.982 was identified. Using the Bland-Altman plot, the agreement level was high, with a Rho value of 0.983 (95% CI: 0.977-0.988). Finally, when the standard errors were quantified, there was an overall error (between the synthetic data created and the computed one) of 0.49%, being higher in men (0.81%) than in women (0.18%). CONCLUSIONS: The SCANNER software package is a straightforward tool that could facilitate the estimation of WHtR in distance participants or patients.

Anthropometric markers and their cut-off point for the prediction of hypertension with lifestyle as a risk factor among Chiru tribe of North East India.

BACKGROUND: The increased prevalence of obesity, particularly central obesity, is closely associated with many metabolic complexions, including hypertension and diabetes. OBJECTIVES: The present study investigates the cut-off points of some anthropometric measurements such as body mass index [BMI (kg/m2)], waist circumference [WC (cm)], waist-hip ratio (WHR), and waist-height ratio (WHtR) associated with high blood pressure. It determines the risk factors among the Chiru tribe of North East India. METHODS: The cross-sectional study was conducted in four villages in the hilly districts of Manipur. For the present study, 416 Chiru adults (209 males and 207 females) aged 20-79 years were included. Anthropometrics and blood pressure were measured using standard procedures. Statistical methods such as chi-square, Pearson correlation, and multivariate logistic regression were employed. RESULTS: The result indicates that the cut-off values to detect hypertension were 21.83 for BMI, 82.55 for WC, 0.92 for WHR, and 0.53 for WHtR. However, the cut-off values to detect hypertension in females were 23.92 for BMI, 86.48 for WC, 0.94 for WHR, and 0.55 for WHtR. Multivariate logistic regression analysis indicated that hypertension was an independently associated risk factor in both males and females with an age ≥ 50 years (OR = 18.52 and 10.12), physical activity (OR = 0.10 and 0.21), salt intake (OR = 7.81 and 3.36), and smoking (OR = 2.56 and 3.23), respectively. CONCLUSION: It has been concluded that BMI, WC, WHR, and WHtR values can determine hypertension risk in the Chiru population. Age, smoking, physical activity, and salt intake were independent risk factors associated with high blood pressure.

The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003-2018.

BACKGROUND: In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied. METHODS: This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships. RESULTS: In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21-2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66-3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77-3.17), congestive heart failure (OR 2.14, 95% CI 1.31-3.51), and angina pectoris (OR 2.38, 95% CI 1.43-3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45-3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships. CONCLUSIONS: TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification.

Relationship between cardiometabolic index and hyperuricemia in health examination population / 中华健康管理学杂志

Objective:To investigate the relationship between cardiometabolic index (CMI) and hyperuricemia (HUA) in the health examination population.Methods:It was a cross-sectional study. A total of 21 720 individuals who received health examinations in Xiangya hospital, Central South University between 2020 and 2021 were recruited in this study. Multivariate logistic regression analysis was used to determine the independent correlation between CMI and HUA, and stratified analysis was applied to check whether there were population differences. Then the predictive value of CMI for hyperuricemia in the health examination population was evaluated with the area under the receiver operator characteristic (ROC) curve.Results:Among the 21 720 subjects, 4 418 (20.34%) were detected with HUA. In the HUA group, the body mass index (BMI), waist-to-hip ratio, CMI, total cholesterol, triglyceride, systolic blood pressure, diastolic blood pressure, fasting blood glucose, 2-hour postprandial blood glucose, and blood creatinine levels were all significantly higher than those in the normal uric acid group, while high-density lipoprotein and epidermal growth factor receptor (eGFR) were significantly lower (all P<0.05). Multiple logistic regression analysis showed that after adjusting for relevant factors, CMI was significantly positively correlated with HUA ( OR=1.16, 95% CI: 1.129-1.192); and with the increase of CMI, the risk of HUA increased gradually. Stratified analysis and interaction test according to gender, age, BMI, hypertension, abnormal blood glucose and glomerular filtration rate indicated that CMI was positively associated with the occurrence of HUA in all populations. Compared with that in people with abnormal blood glucose, the correlation between CMI and HUA was more obvious in people with normal blood glucose. The area under the ROC curve (AUC) for CMI to predict HUA was 0.723(95% CI: 0.715-0.731), with a specificity of 0.636 and a sensitivity of 0.698, and the cut-point was 0.693. Conclusion:There was a significant positive correlation between CMI and HUA in the health examination population, which has good predictive value for HUA.

Appropriate neck circumference and waist-to-height ratio cut-off points as predictors of obesity and cardiovascular risk in adolescents / Pontos de corte da circunferência do pescoço e da relação cintura-estatura como preditores da obesidade e risco cardiovascular em adolescentes

ABSTRACT OBJECTIVE To determine neck circumference (NC) and waist-to-height ratio (WHtR) cut-off points as predictors of obesity and cardiovascular risk in adolescents. METHODS Cross-sectional study developed with a subsample of 634 adolescents aged 18 and 19 years belonging to the third phase of the "RPS" cohort (Ribeirão Preto, Pelotas and São Luís) carried out in 2016. The area under the ROC curve (AUC) was identified to assess the predictive capacity of NC and WHtR in relation to the percentage of body fat (%BF), obtained by air displacement plethysmography (ADP), and the cardiovascular risk estimated by the Pathobiological Determinants of Atherosclerosis in Youth (PDAY). RESULTS The prevalence of obesity by %BF was 7.6% in males and 39.4% in females (p-value <0.001), and the high PDAY risk was 13.8% and 10.9%, respectively. For males, NC cut-off point was 44.0 cm and the AUCs were 0.70 (95%CI 0.58-0.83) to predict obesity and 0.71 (95%CI 0.62-0.80) to predict high cardiovascular risk; for females, NC cut-off point was 40 cm and the AUCs were 0.75 (95%CI 0.69-0.80) and 0.63 (95%CI 0.53-0.73), respectively. WHtR cut-off point was 0.50 for both sexes; for males, the AUCs to predict obesity and high risk according to PDAY were 0.90 (95%CI 0.80-0.99) and 0.73 (95%CI 0.63-0.82), respectively; for females, they were 0.87 (95%CI 0.83-0.90) and 0.55 (95%CI 0.45-0.65), respectively. CONCLUSION WHtR and NC are good discriminators to assess obesity and cardiovascular risk in adolescents, especially in males.

RESUMO OBJETIVO Determinar os pontos de corte da circunferência do pescoço (CP) e da relação cintura-estatura (RCEst) para a predição da obesidade e do risco cardiovascular em adolescentes. MÉTODOS Estudo transversal desenvolvido com uma subamostra de 634 adolescentes de 18 e 19 anos de idade pertencentes à terceira fase da coorte "RPS" (Ribeirão Preto, Pelotas e São Luís) realizada em 2016. Identificou-se a área sob a curva ROC (AUC) para avaliar a capacidade preditiva da CP e RCE em relação ao percentual de gordura corporal (%GC), obtido pela pletismografia por deslocamento de ar (PDA), e do risco cardiovascular estimado pelo Phatobiological Determinants of Atherosclerosis in Youth (PDAY). RESULTADOS A prevalência de obesidade pelo %GC foi de 7,6% no sexo masculino e 39,4% no sexo feminino (p-valor < 0,001) e o alto risco para PDAY foi de 13,8% e 10,9%, respectivamente. Para a CP, o ponto de corte identificado para o sexo masculino foi de 44,0 cm e as AUC foram de 0,70 (IC95% 0,58-0,83) para predição de obesidade e de 0,71 (IC95% 0,62-0,80) para predição do alto risco cardiovascular; e para o sexo feminino foi de 40 cm e as AUC foram de 0,75 (IC95% 0,69-0,80) e de 0,63 (IC95% 0,53-0,73), respectivamente. Para a RCEst, o ponto de corte identificado foi de 0,50 para ambos os sexos e as AUC para a predição da obesidade e do alto risco segundo o PDAY foram de 0,90 (IC95% 0,80-0,99) e 0,73 (IC95% 0,63-0,82), respectivamente, para o sexo masculino; e de 0,87 (IC95% 0,83-0,90) e 0,55 (IC95% 0,45-0,65), respectivamente, para o sexo feminino. CONCLUSÃO RCEst e CP como bons discriminadores para avaliar a obesidade e risco cardiovascular em adolescentes, especialmente no sexo masculino.

Relación inversa entre la altitud y el riesgo cardiometabólico en la población peruana: resultados de una encuesta de base poblacional e importancia de la relación cintura-talla como indicador de riesgo cardiometabólico

Presentación: En el presente artículo exponemos nuestra valoración crítica de un estudio observacional publicado en la revista International Journal of Environmental Research and Public Health el año 2022. Conclusiones del estudio: Se identificó una asociación inversa entre vivir a mayor altura y el nivel de riesgo cardiometabólico en la población adulta peruana. Sin embargo, la prevalencia de riesgo cardiometabólico en las diferentes categorías altitudinales evaluadas se mantiene por encima del 82% (80.9 - 84.6), lo que representa una gran proporción de la población en riesgo en cada altitud. Comentario crítico: El estudio es relevante por el uso de la relación cintura-talla, considerado como un indicador antropométrico con gran precisión para estimar el riesgo cardiometabólico, ser un estudio de bajo riesgo de sesgo y tener representatividad nacional. Por otro lado, es importante porque la relación cintura-talla es económica y fácil de usar, además de ser superior al IMC, ideal para aplicarlo en Perú. Además la conclusión general del estudio es válida, sin embargo, la falta de evaluación de la temporalidad por la misma característica del estudio (tipo transversal) y el sesgo residual que tiene al no evaluar algunas variables, hace necesario que se realicen estudios longitudinales para poder apoyar los resultados del estudio.La presente revisión crítica encuentra validez interna de los resultados del estudio, pero al momento no serían aplicables para generalizarse en toda la población por el sesgo residual.

Presentation: This article presents our critical appraisal of an observational study published in the International Journal of Environmental Research and Public Health in 2022. Conclusions of the Study: An inverse association was identified between living at higher altitudes and the level of cardiometabolic risk in the Peruvian adult population. However, the prevalence of cardiometabolic risk in the different altitude categories evaluated remains above 82% (80.9 - 84.6), which represents a large proportion of the population at risk at every altitude. Critical comment: The study is relevant because of the use of the waist-height ratio, considered an anthropometric indicator with greater precision for estimating cardiometabolic risk, being a study with a low risk of bias, and having national representativity. In addition, it is important because the waist-height ratio is inexpensive and easy to use. It is also superior to BMI and ideal for application in Peru. In addition, the general conclusion of the study is valid; however, the lack of evaluation of temporality due to the same characteristic of the study (cross-sectional study) and the residual bias that it has by not evaluating some variables, makes it necessary to carry out a longitudinal study to be able to support the results of the study. The present critical review finds internal validity in the results of the study, but at the moment they would not be applicable to generalize to the entire population due to the residual bias.

Poor Trunk Flexibility is Associated with Cardiovascular Risk Factors

Abstract Background: Poor flexibility is a predictor of reduced physical activity. The association between trunk flexibility and cardiovascular risk factors (CVRFs) is not well understood. Objective: To identify the prevalence of CVRFs and their association with trunk flexibility in individuals participating in a community-based health education program. Methods: Volunteers (51 men, 48 women) aged 20-85 years old, participants in a community-based health education program in the city of Santo Antônio de Goiás, Brazil, were selected for this study. Anthropometric measures including body mass, height, body mass index (BMI), waist circumference (WC) and waist/height ratio (WHtR) were evaluated. Physical activity level was evaluated based on leisure activity participation, and trunk flexibility was evaluated by the sit and reach test. Data distribution was assessed using the Shapiro-Wilk test; Pearson's chi-square or Fisher's exact and Student t tests were performed for comparisons. To analyze the association between trunk flexibility and concomitant CVRFs, Spearman's correlation test and linear regression were employed. Statistical significance was defined as p < 0.05. Results: 7.2% of the volunteers had no CVRF, 10.3% had only one CVRF and 82.5% had two or more CVRFs, with no differences between sexes. Increased abdominal adiposity, as assessed by WHtR (p = 0.0097), and systemic arterial hypertension (p = 0.0003) were the most prevalent CVRFs, with differences between age groups. A strong negative correlation was found between mean trunk flexibility and the number of concomitant CVRFs (r = -0.96, p < 0.0028). Conclusion: The strong negative correlation between trunk flexibility and concomitant CVRF indicates an increased risk for cardiovascular events. Therefore, trunk flexibility measurement may be an additional tool for health promotion and prevention of cardiovascular and associated diseases in community health programs.

Relación del Índice cintura/talla con la morbilidad y el riesgo cardiometabólico en adultos pinareños / Relation waist-to-height index with morbidity and cardiometabolic risk in the adults from Pinar del Rio province

RESUMEN Introducción: el índice cintura-talla es un indicador antropométrico que ha captado la atención como índice útil para medir la adiposidad central y el riesgo cardiometabólico. Objetivo: mostrar la relación del índice cintura-talla con la morbilidad y el riesgo cardiometabólico en adultos pinareños. Métodos: se realizó una investigación observacional, analítica y transversal en 164 trabajadores de la Universidad de Ciencias Médicas de Pinar del Río y del Policlínico Jesús Lemus Mirabal, entre septiembre de 2018 y febrero de 2019. Se realizaron mediciones antropométricas, de tensión arterial y determinaciones hematológicas además de ultrasonido abdominal. Se utilizaron pruebas no paramétricas U de Mann-Whitney para la comparación de medias. Resultados: la edad promedio de la serie de estudio fue de 48,4±12,58 años. Los indicadores antropométricos circunferencia de la cadera, de la cintura e índice de masa corporal, mostraron valores promedios mayores en el grupo con ICT ≥0,5. En los sujetos que presentaron ICT≥0,5 se encontraron mayores niveles promedios de tensión arterial sistólica, diastólica, glucemia, colesterol, triglicéridos y ácido úrico que los que presentaron ICT aceptables (p<0,05). El ICT mostró correlación positiva y significativa (p<0,05) con los valores de todos los parámetros hematobioquímicos empleados. Los valores anómalos de riesgo cardiometabólico se concentraron entre los que tuvieron ICT≥0,50. Conclusiones: el índice cintura-talla es un índice simple y válido para identificar adultos con mayor riesgo cardiometabólico y morbilidad por enfermedades crónicas no trasmisibles.

ABSTRACT Introduction: waist-to-height index is an anthropometric indicator that has captured interests as useful marker to measure the central adiposity and cardiometabolic risk. Objective: to demonstrate the relation of waist-to-height index with morbidity and cardiometabolic risk in the adults from Pinar del Rio province. Methods: and observational, analytical and cross-sectional research was carried out in 164 workers from Pinar del Rio University of Medical Sciences and Jesus Lemus Mirabal Polyclinic between September 2018 and February 2019. Anthropometric measures, measurement of blood pressure, hematological determination and an abdominal ultrasound were assessed; using the non-parametric tests of U and of Mann-Whitney for the comparison. Results: the average age of the series of study was 48,4±12,58 years old. The anthropometric indicators of hip and waist circumferences and the body mass index [BMI] showed higher average values in the group with BMI ≥0,5. In the subjects who presented BMI ≥0,5 were found higher average levels of systolic and diastolic blood pressure, blood glucose, cholesterol, triglycerides and uric acid, than those who presented acceptable TBI values(p<0,05). The BMI showed positive and significant correlation (p<0,05) with the values of all the hematological-biochemical parameters applied. The anomalous values of cardiometabolic risk were concentrated among those showing BMI ≥0,50. Conclusions: the waist-to-height index is a simple and valid indicator to identify the adults with increased cardiometabolic risk and morbidity from chronic noncommunicable diseases.

Índice cintura-talla e índice de masa corporal como predictores de riesgo cardiometabólico en niños y adolescentes / Waist size index and body mass index as predictors of cardiometabolic risk in children and adolescents

Objetivo: comparar la utilidad del índice cintura-talla y el índice de masa corporal para detectar factores de riesgo cardiometabólicos en niños de 5-18 años, atendidos en la consulta externa del Hospital Infantil Regional Universitario Doctor Arturo Grullón en el período octubre-diciembre del año 2016. Método: se realizó un estudio observacional, comparativo, de corte transversal y fuente primaria, con una muestra de 118 pacientes. Se midieron las variables sociodemográficas (edad y sexo), antropométricas (peso, talla, IMC, ICT, PC, TA), y laboratorios (glicemia, ALT, colesterol, triglicéridos, HDL, LDL). Para el análisis cuantitativo se calculó el promedio y la desviación estándar, para el análisis cualitativo se utilizó la prueba estadística chi-cuadrado. Resultados: tanto el ICT como el IMC detectan de manera similar las alteraciones de la presión arterial sistólica (ICT=15.9 %, IMC=15 %), diastólica (ICT=20.4 %, IMC= 21.8 %), obesidad (ICT=69.5 %, IMC=73.7 %), HDL (ICT=6.8 %, IMC=5.6 %). En relación a la evaluación de la obesidad ambos índices arrojaron resultados afines, 69.5 % para ICT y 73.7 % el IMC. En la valoración de los niveles altos de ALT se obtuvieron resultados similares, presentando el ICT un 8.1 % y el IMC un 8.9 %. Conclusión: se demostró que tanto el ICT como el IMC son buenos predictores de factores de riesgos cardiometabólicos.

Objective: To compare the utility of the WSI and BMI in detecting cardiometabolic risks on children between 5-18 years, during external consult in Hospital Infantil Regional Universitario Dr. Arturo Grullón in the period of October-December 2016. Methods: A cross-sectional, primary source, observational design study was conducted with a sample of 118 patients. The variables measured for this study included sociodemographic (age and sex), anthropometric (weight, height, BMI, ICT, PC), and laboratories (glycemia, ALT, cholesterol, triglycerides, HDL, LDL). The quantitative analysis was carried out by calculating the average and the standard deviation. As for the qualitative analysis, the statistical test χ² was used. Results: Both the WSI and the BMI proved to be effective in detecting changes in Systolic (WSI = 15.9%, BMI = 18.4%) and Diastolic Blood Pressure (WSI = 20.4%, BMI = 18.6%), obesity (WSI = 69.5%, BMI = 73.7%), HDL (WSI = 29.3%, BMI = 29.9%). Regarding the detection of obesity, both rates showed similar results, 69.5% for ICT, and 73.7% for BMI. Comparable results were obtained in the assessment of high levels of ALT, with the ICT at 8.1% and the BMI at 8.9%. Conclusions: WSI and BMI are both useful to detect cardiometabolic risk factors.

Relationship between body mass index and waist-to-height ratio in childhood

SUMMARY OBJECTIVE: To evaluate whether there is an association between the body mass index z-score and waist-to-height ratio of children and adolescents. METHODS: This was a cross-sectional study conducted in a school in Santo André, SP, between June and August 2019. Body mass index was measured for all participants, adopting the z-score cutoff of +2 recommended by the World Health Organization. The waist-to-height ratio was determined in children over two years of age and considered abnormal when ≥0.5. The qualitative variables are presented as absolute numbers and percentages. To compare qualitative data, we used the χ2 test or Fisher's exact test. Pearson's test was applied to assess the correlation between BMI and waist-to-height ratio. The level of significance adopted was 5%. RESULTS: The body mass index was calculated for 518 children and the waist-to-height ratio for 473 children. Regarding body mass index, 60.6% of the participants had normal weight, 3.1% were underweight, and 36.3% were overweight. overweight (24.7%) and obesity (22.7%) were more prevalent in adolescents. The waist-to-height ratio was abnormal in 50.5% of the sample. There was an increasing association between body mass index and waist-to-height ratio with age, according to the Pearson correlation coefficients for the age groups <5 years (r=0.459; p<0.001), 5 to 10 years (r=0.687; p<0.001) and >10 years (r=0.805; p<0.001). CONCLUSION: There was a significant correlation between body mass index and waist-to-height ratio. This association was higher in adolescents. The waist-to-height ratio is easy to apply and may be useful as a predictor of cardiometabolic risk.

Predicting Metabolic Syndrome Using Anthropometric Indices among Chinese Adolescents with Different Nutritional Status: A Multicenter Cross-sectional Study / 生物医学与环境科学（英文）

Objective@#To evaluate the predictive performance of anthropometric indices for metabolic syndrome (MetS) among Chinese adolescents with different nutritional status.@*Methods@#We recruited 9,513 adolescents aged 10-18 years from seven provinces in China during September 2014. Anthropometric indices and blood pressure were measured at recruitment, and blood samples were collected for determining fasting plasma glucose and lipid profile. Receiver operating characteristic (ROC) analyses were used to assess the predictive performance of anthropometric indices, including body mass index (BMI) percentile, waist circumference percentile, waist-height ratio, and waist-hip ratio.@*Results@#Overall, the four anthropometric indices showed good accuracy for predicting MetS with areas under ROC curves (AUCs) ranging from 0.86 to 0.94; similar AUCs ranging from 0.73 to 0.99 were observed for participants with normal weight. The performance of all four indices was poor in overweight and obese participants, with AUCs ranging from 0.66 to 0.77 and from 0.60 to 0.67, respectively. Waist circumference showed relatively better performance in all the subgroup analyses.@*Conclusions@#We suggest using anthropometric indices with the cutoff values presented here for predicting MetS in the overall and normal-weight adolescent population, but not in the overweight and obese adolescent population where more specific screening tests are required.

Association between "a body shape index" and mortality: Bambuí Cohort Study of Aging, Brazil / Associação entre "a body shape index" e mortalidade: o Estudo de Coorte de Idosos de Bambuí, Brasil / Asociación entre "a body shape index" y mortalidad: estudio de una Cohorte Ancianos de Bambuí, Brasil

This article aims to evaluate the joint and separate association between abdominal and general adiposity indicators and mortality. Data was collected from 1,366 older adults in the Bambuí Cohort Study of Aging with complete information for all variables of interest. The outcome variable was all-cause time until death; exposure variables were a body shape index (ABSI), waist circumference (WC), waist-to-height ratio (WHtR) and body mass index (BMI), assessed at the beginning of the study, and at the 3rd, 5th and 11th year of follow-up. Association between the quartiles of anthropometric indicators and mortality was calculated using an extended Cox proportional hazards model and adjusted for socioeconomic and behavioral confounding factors. Older adults in the 4th ABSI quartile had a higher risk of mortality regardless of BMI (1.27; 95%CI: 1.01-1.58), but this association was not observed in sensitivity analyses. Older adults in the 2nd, 3rd and 4th BMI quartiles had a lower risk of mortality, even when adjusted for WC or ABSI. WC and WHtR showed no association consistent with all-cause mortality after adjustment for confounding factors. Considering the loss of significance in the sensitivity analyses, ABSI's predictive capacity for mortality is still weak. Thus, adopting ABSI in clinical practice or in epidemiological surveys, in conjunction or replacing BMI and WC, requires more in-depth studies.

O estudo teve como objetivo avaliar a associação isolada e independente entre indicadores de adiposidade abdominal e índice de massa corporal (IMC) e mortalidade. O estudo usou dados de 1.366 idosos que tinham informações completos para todas as variáveis independentes no Estudo de Coorte de Idosos de Bambuí, Brasil. A variável dependente foi o tempo até o óbito por todas as causas, e as variáveis de exposição foram o índice de forma corporal (a body shape index - ABSI), circunferência de cintura (CC), razão cintura/estatura (RCE) e IMC, medidos na linha de base e aos 3º, 5º e 11º anos de seguimento. A associação entre os quartis de indicadores antropométricos e a mortalidade foi investigada usando um modelo estendido de riscos proporcionais de Cox ajustado por fatores de confusão socioeconômicos e comportamentais. Os idosos do 4º quartil do ABSI mostraram maior risco de mortalidade, independentemente de IMC (1,27; IC95%: 1,01-1,58), mas a associação não foi mantida nas análises de sensibilidade. Os idosos do 2º, 3º e 4º quartis de IMC mostraram risco menor de mortalidade, associação esta que foi mantida após ajustar para CC ou ABSI. Por outro lado, a CC e a RCE não mostraram associações consistentes com a mortalidade geral depois de ajustar para fatores de confusão. As análises mostraram que a capacidade preditiva do ABSI para mortalidade ainda é fraca, considerando a perda de significância nas análises de sensibilidade. Portanto, a possibilidade de adoção do ABSI na prática clínica ou em inquéritos epidemiológicos para complementar ou substituir o IMC e CC ainda precisa ser explorada com maior profundidade em estudos futuros.

El objetivo de este artículo es evaluar la asociación conjunta y separada entre los indicadores de adiposidad abdominal y general, y la mortalidad. Los datos se recogieron de 1.366 adultos mayores en el estudio de Cohorte Ancianos de Bambuí, Brasil, con información completa para todas las variables de interés. El resultado de la variable fue por cualquier causa hasta la muerte; las variables de exposición fueron índice de forma corporal (a body shape index - ABSI por sus siglas en inglés), circunferencia de cintura (WC), proporción cintura-altura (WHtR) e índice de masa corporal (BMI), evaluados al principio del estudio, y en el 3º, 5º y 11º año de seguimiento. Se calculó la asociación entre los cuartiles de indicadores antropométricos y mortalidad, usando un modelo extendido de Cox de riesgos proporcionales, y ajustado por factores de confusión socioeconómicos y comportamentales. Los adultos más viejos en el 4º cuartil ABSI tuvieron un riesgo mayor de mortalidad, independientemente del BMI (1,27; 95%CI: 1,01-1,58), pero esta asociación no fue observada en los análisis de sensibilidad. Los adultos más viejos en los 2º, 3º y 4º cuartiles de BMI tuvieron un riesgo más bajo de mortalidad, incluso cuando fue ajustado por WC o ABSI. WC y WHtR no mostraron asociación consistente con todas las causas de mortalidad tras el ajuste para factores de confusión. Considerando la pérdida de significación en los análisis de sensibilidad, la capacidad predictiva de ABSI para la mortalidad es todavía débil. De este modo, adoptar ABSI en la práctica clínica o en encuestas epidemiológicas, en conjunción o reemplazando BMI y WC, requiere más estudios en profundidad.