Using Anthropometric Indicator to Identify Hypertension in Adolescents: A Study in Sarawak, Malaysia

Prevalence of childhood overweight and obesity in Malaysia: a systematic review and meta-analysis

The incidence of childhood obesity is increasing worldwide. National surveys in Malaysia have shown similar trends. This review aimed to increase our understanding of the prevalence and associated factors of childhood overweight, obesity, and excess weight in Malaysia. A systematic review and meta-analysis were conducted of studies reporting the prevalence of overweight and obesity in Malaysian children aged <18 years. Systematic searches were conducted in October 2023 and repeated in March 2024 of the PubMed, Scopus, and Web of Science databases. The grey literature was also included. Study selection, data extraction, and quality assessments were conducted by paired independent researchers. A metaanalysis of prevalence and 95% confidence interval (CI) using a random-effects model and heterogeneity (I2) was calculated. Publication bias was investigated using Egger's test. This review included 33 studies (N=273,710) conducted between 1996 and 2022. Overall, the childhood overweight, obesity and excess weight prevalence was 13.9% (95% CI, 13.0%-14.8%), 11.8% (95% CI, 10.9%-12.8%), and 24.0% (95% CI, 22.3%-25.7%), respectively. Boys had a significantly higher proportion of obesity (12.5% [95% CI, 11.1%-14.1%] vs. 9.1% [95% CI, 8.1%-10.1%]) and excess weight (25.7% [95% CI, 23.5%-28.1%] vs. 20.7% [95% CI, 18.8%-22.8%]) than girls. Sarawak natives had a higher prevalence of obesity (17.7% [95% CI, 16.0%-19.5%]). Annually, the obesity prevalence increased by 0.3% (95% CI, 0.1%-0.6%; P=0.006) and excess weight prevalence increased by 0.6% (95% CI, 0.3%-1.0%; P=0.002). Heterogeneity was high (I2>90%), and publication bias was possible (P<0.001). Variability was not significantly affected by the critical appraisal score or sample size. In conclusion, the prevalence of childhood overweight, obesity, and excess weight in Malaysia doubled over 26 years. Future studies of the prevalence of childhood excess weight should follow a standardized reference for body mass index by age to ease interstudy comparisons.

Relationship between measures of adiposity and hypertension amongst secondary school adolescents in an urban setting in Cameroon

Introduction

measures of obesity such as body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) have been shown to be associated with high blood pressure (BP) in children and adolescents. The purpose of this study was to determine the proportion of secondary school adolescents with elevated BP and high BP in relation to some measures of adiposity (BMI, WC, WHtR) and to examine the association between BP and adiposity indices amongst the children.

Methods

the study was an institutional-based cross-sectional study involving 534 adolescents (mean age 15.1 ± 2.3 years) attending 4 secondary schools (2 public and 2 private) in the Bamenda municipality of the North West Region of Cameroon. Anthropometric and BP measurements were carried out following standard procedures. Diagnosis of hypertension in the children was done by obtaining three elevated systolic or diastolic BP readings (BP ≥ 95th percentile for the child's age, sex and height). Linear regression was used to determine the relationship between BP and some measures of adiposity (BMI, WC, WHtR) amongst the children.

Results

the prevalence of elevated BP and hypertension amongst the study participants was 33.3% and 33.3% in the BMI-obese children, 25.9% and 25.2% in the WC overweight/obese children and 29.4% and 41.2% in the "high risk" (WHtR ≥ 0.5) children respectively. Body mass index-obese, WC overweight/obese and "high risk" (WHtR ≥ 0.5) children had a significantly (p <0.05) higher mean SBP and DBP compared to their healthy weight counterparts. Linear regression indicated a significant association (p <0.001) between WC (β=0.75; 95% CI = 0.57, 0.92), BMI (β=0.88; 95% CI = 0.49, 1.25) and WHtR (β= 67.08; 95% CI = 45.64, 88.51) with systolic BP for the unadjusted analysis. After adjusting for age, gender and school type, only WC (β= 0.66; 95% CI = (0.43, 0.89) showed a positive significant (p <0.001) relationship with systolic BP.

Conclusion

this study has demonstrated that WC is positively associated with high BP in children and adolescents. Thus, WC can be used in predicting children and adolescents with a high risk of developing high BP in our setting.

Assessment of the Performance of Obesity Measures in the Screening of Hypertension in a South African Adolescent Population

Obesity is known to be one of the most significant risk factors for essential hypertension in childhood. However, whether obesity cut-offs may predict hypertension screening in adolescents remains controversial. This study investigated the performance of obesity cut-off values for the screening of hypertension in a South African adolescent population. In this cross-sectional study, 1144 adolescents aged between 11 and 17 years were recruited from the Eastern Cape Province of South Africa. Anthropometric and blood pressure (BP) parameters including diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR) were measured. Assessment of the sensitivity and specific of obesity cut-off values in predicting hypertension was performed using receiver operating characteristic (ROC) analysis. Obesity was positively associated (p < 0.01) with hypertension. Obese individuals, based on the predicted obesity using BMI percentile cut-off (pBMI85.2%), were more likely to develop hypertension (odds ratio: 2.070; p < 0.001) than their counterparts based on the observed obesity cut-off (pBMI95%) (Odd ratio: 1.748 p = 0.004). The area under the curve (AUC) of BMI percentile and WHtR for screening SBP percentile, and DBP percentile and HR as per ROC analysis, was low (<0.65). Equally, the sensitivity and specificity were low (<0.6) for all BP measures (SBP, DBP, and HR). Furthermore, the cut-off values for blood pressure measures, as established by ROC analysis using anthropometric measures, were far below the recommended cut-off values for hypertension screening. The obesity cut-offs for BMI percentile and WHtR established in this populations showed poor performance in diagnosing hypertension even though they were strong predictors of hypertension.

Anthropometric indices, but not birth weight, are associated with high blood pressure risk among Malay adolescents in Kuala Lumpur

Background

With the high prevalence of hypertension, it is important to determine its predictors early. The aim of this study was to determine the association between blood pressure with anthropometric indices and birth weight among a population of Malay adolescents in Kuala Lumpur.

Design and methods

This cross-sectional study was carried out among 254 primary and secondary school adolescents aged 10 to 16 years. Anthropometric measurements and blood pressure were determined through standardized protocols, while participants' birth weight was obtained from birth certificate. Body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and a body shape index (ABSI) were calculated.

Results

Boys had significantly higher weight, height, WC, WHtR and systolic blood pressure (SBP) than girls (p < 0.05). SBP was moderately correlated with body weight (r = 0.60), WC (r = 0.55), BMI (r = 0.54), height (r = 0.47), WHtR (rs = 0.36) and WHR (r = 0.30). Moderate correlations were found between diastolic blood pressure (DBP) with BMI (r = 0.26), WC (r = 0.23) and body weight (r = 0.20). Participants with BMI > +1SD had higher odds of being prehypertensive or hypertensive (aOR 8.97; 95% CI 3.16, 25.48), followed by participants with WC ≥ 90th percentile (aOR 6.31; 95% CI 2.48, 16.01) and participants with WHtR > 0.5 (aOR 5.10; 95% CI 2.05, 12.69). Multiple linear regression showed BMI was positively associated with both SBP and DBP. No significant association was found between birth weight and BP.

Conclusion

BMI had the best predictive ability for SBP and DBP. These findings strongly emphasize the importance of primary prevention of hypertension in adolescents, especially among those with high BMI.

The Determinants of Undiagnosed Hypertension among Urban Community of Kuala Lumpur, Malaysia

BACKGROUND

The prevalence of undiagnosed hypertension in Malaysia is 17.2%, which is higher compared to the known case of hypertension (13.1%) reported in 2015. For every two people diagnosed with hypertension, there will be three persons with undiagnosed hypertension; the trend has not changed since 2011. This study aimed to determine the determinants of undiagnosed hypertension among urban community of Kuala Lumpur, Malaysia.

METHODS

This was a cross-sectional study conducted among 206 participants in Kuala Lumpur, Malaysia from the ongoing Prospective Urban Rural Epidemiology (PURE) project. The samples with complete variable data were taken from the second year of follow-up, starting Jan 2014 till Dec 2015, through convenience sampling. Data were analyzed using descriptive analysis, simple logistic regression, and multivariable logistic regression.

RESULTS

Multivariable logistic regression showed that only four determinants were associated with undiagnosed hypertension which were the age group of 35 to 49 yr old (aOR: 5.9, 95% CI: 1.8; 19.1), secondary education level (aOR: 2.3, 95% CI: 1.1; 4.6), normal BMI (aOR: 5.1, 95% CI: 1.5; 16.6), and non-diabetes mellitus (aOR: 5.5, 95% CI: 2.5; 12.0).

CONCLUSION

The determinants of undiagnosed hypertension in this study showed that low-risk groups of hypertension were highly underdiagnosed. The low-risk group of hypertension was easily approached at their working place. Thus, routine health screening and awareness campaigns should be emphasized substantially at the working place to detect undiagnosed hypertension. Early detection will be beneficial as early management can be initiated to prevent further complications.

Accuracy of different cutoffs of the waist-to-height ratio as a screening tool for cardiometabolic risk in children and adolescents: A systematic review and meta-analysis of diagnostic test accuracy studies

The present systematic review with meta-analysis sought to estimate the accuracy of different waist-to-height ratio (WHtR) cutoff ranges as risk indicators for cardiometabolic health in different populations of children and adolescents. Systematic searches were undertaken to identify studies in apparently healthy participants aged 3-18 years that conducted receiver operating characteristic curve analysis and reported area under the receiver operating characteristic curves for WHtR with any cardiometabolic biomarker. Forty-one cross-sectional studies were included in the meta-analysis, including 138,561 young individuals (50% girls). Higher area under summary receiver operating characteristic (AUSROC) values were observed in cutoffs between 0.46 and 0.50 (AUSROC = 0.83, 95%CI: 0.80-0.86) and ≥0.51 (AUSROC = 0.87, 95%CI: 0.84-0.90) (p < 0.001 in comparison with cutoffs 0.41 to 0.45), with similar results in both sexes. The AUSROC value increased in the East and Southeast Asian regions using a WHtR cutoff of ≥0.46 (AUSROC = 0.90, 95%CI: 0.87 to 0.92). A cutoff of ≥0.54 was optimal for the Latin American region (AUSROC = 0.96, 95%CI: 0.94-0.97). Our meta-analysis identified optimal cutoff values of WHtR for use in children and adolescents from different regions. Despite the widely accepted WHtR cutoff of 0.50, the present study indicated that a single cutoff value of WHtR may be inappropriate.

Diagnostic accuracy of anthropometric indices for discriminating elevated blood pressure in pediatric population: a systematic review and a meta-analysis

BACKGROUND

Childhood obesity is more likely to increase the chance of many adult health problems. Numerous studies have shown obese children to be more prone to elevated blood pressure (BP) and hypertension. It is important to identify an obesity anthropometric index with good discriminatory power for them in pediatric population.

METHODS

MEDLINE/PubMed, Web of Science, and Cochrane databases were retrieved comprehensively for eligible studies on childhood obesity and hypertension/elevated BP through June 2021. The systematic review and meta-analysis of studies used receiver operating characteristics (ROC) curves for evaluating the discriminatory power of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) in distinguishing children with elevated BP and hypertension.

RESULTS

21 cross-sectional studies involving 177,943 children and 3-19 years of age were included in our study. Meta-analysis showed that the pooled area under the reporting receiver-operating characteristic curves (AUC) and 95% confidence intervals (CIs) for BMI, WC, and WHtR to detect hypertension of boys were 0.68 (0.64, 0.72), 0.69 (0.64, 0.74), 0.67 (0.63, 0.71), for elevated BP, the pooled AUCs and 95% CIs were 0.67 (0.61, 0.73), 0.65 (0.58, 0.73), 0.65 (0.61, 0.71). The pooled AUCs and 95% CIs for BMI, WC and WHtR of predicting hypertension were 0.70 (0.66, 0.75), 0.69 (0.64, 0.75), 0.67 (0.63, 0.72) in girls, the pooled AUCs and 95% CIs of predicting elevated BP were 0.63 (0.61, 0.65), 0.62 (0.60, 0.65), 0.62 (0.60, 0.64) respectively. There was no anthropometric index was statistically superior in identifying hypertension and elevated BP, however, the accuracy of BMI predicting hypertension was significantly higher than elevated BP in girls (P < 0.05). The subgroup analysis for the comparison of BMI, WC and WHtR was performed, no significant difference in predicting hypertension and elevated BP in pediatric population.

CONCLUSIONS

This systematic review showed that no anthropometric index was superior in identifying hypertension and elevated BP in pediatric population. While compared with predicting elevated BP, all the indicators showed superiority in predicting hypertension in children, the difference was especially obvious in girls. A better anthropometric index should be explored to predict children's early blood pressure abnormalities.

Overweight and Obesity, Body Fat, Waist Circumference, and Anemia in Peruvian University Students: A Cross-Sectional Study

The university represents a critical space for students in terms of prevalence of malnutrition. The objective of this study was to determine the body mass index (BMI), body fat percentage (% BF), waist circumference (WC), and anemia in university students. A cross-sectional study was carried out in 2,285 university students from Lima, Peru. The sample was selected by nonprobability convenience sampling. Anthropometric data and hemoglobin levels were measured. The Chi-square test was used. The analysis of the associated factors was done using binary logistic regression. A significance level of 5% was considered. There were no significant differences between men and women in BMI (p > 0.05). The men presented significantly high and very high levels of % BF (p < 0.001). The proportion of women who presented anemia and high and very high WC was significantly higher compared to men (p < 0.001). Being older than 27 years (OR_B = 2.07; 95% CI = 1.19–3.6), being male (OR_B = 2.68; 95% CI = 2.02–3.55), studying at the engineering faculty (OR_B = 1.39; 95% CI = 1.09–1.79), having excess body fat (OR_B = 8.17; 95% CI = 6.13–10.87), and having an elevated WC (OR_B = 35.51; 95% CI = 25.06–50.33) significantly predicted overweight/obesity. The findings of this study suggest that college students, especially males and those who are not enrolled in health sciences colleges, should be a priority in healthy lifestyle interventions, particularly nutritional education programs, to reduce the prevalence of overweight and obesity.

A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia

This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional research study in Sarawak, Malaysia. Among the 2,461 data collected, 741 were hypertensive (30.1%) and 1720 were normal (69.9%). During the data gathering process, eleven anthropometric measurements and sociodemographic data were collected. The variable selection procedure in the methodology proposed selected five parameters: weight, weight-to-height ratio (WHtR), age, sex, and ethnicity, as the input of the network model. The developed MLP model with a single hidden layer of 50 hidden neurons managed to achieve a sensitivity of 0.41, specificity of 0.91, precision of 0.65, F-score of 0.50, accuracy of 0.76, and Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of 0.75 using the imbalanced data set. Analyzing the performance metrics obtained from the training, validation and testing data sets show that the developed network model is well-generalized. Using Bayes' Theorem, an adolescent classified as hypertensive using this created model has a 66.2% likelihood of having hypertension in the Sarawak adolescent population, which has a hypertension prevalence of 30.1%. When the prevalence of hypertension in the Sarawak population was increased to 50%, the developed model could predict an adolescent having hypertension with an 82.0% chance, whereas when the prevalence of hypertension was reduced to 10%, the developed model could only predict true positive hypertension with a 33.6% chance. With the sensitivity of the model increasing to 65% and 90% while retaining a specificity of 91%, the true positivity of an adolescent being hypertension would be 75.7% and 81.2%, respectively, according to Bayes' Theorem. The findings show that simple anthropometric measurements paired with sociodemographic data are feasible to be used to classify hypertension in adolescents using the developed MLP model in Sarawak adolescent population with modest hypertension prevalence. However, a model with higher sensitivity and specificity is required for better positive hypertension predictive value when the prevalence is low. We conclude that the developed classification model could serve as a quick and easy preliminary warning tool for screening high-risk adolescents of developing hypertension.

Anthropometric indices of obesity as predictors of high blood pressure among school children

BACKGROUND

Hypertension is related to increased body fat, which can be evaluated by anthropometric indicators. The aim of this study was to determine the predictive power of anthropometric indicators and to establish their cutoff points as discriminators of high blood pressure.

METHODS

A cross-sectional study was conducted on 793 schoolchildren aged 10-14 years. Six anthropometric indices were used: body mass index-z-score (BMI-z-score), waist circumference (WC), waist-toheight ratio (WHtR), a body shape index (ABSI), body roundness index (BRI) and conicity index (CI). Elevated blood pressure (EBP) and hypertension (HTN) were characterized by values ≥ 90th and <95th percentile and ≥ 95th percentile for systolic and/or diastolic blood pressure, respectively. The predictive power of anthropometric indices was analyzed by sex using the receiver operating characteristic curve (ROC).

RESULTS

The prevalence of EBP and HTN was 11.0% and 14.8%, respectively. According to the analyses of the ROC curve, WC provided the largest area under the curve (AUC) value, while CI showed the lowest AUC value in predicting elevated blood pressure in the total sample. The BMI z-score provided the largest area under the curve (AUC) value (0.722), followed by WHtR (0.709) and BRI (0.709), in predicting hypertension in boys.

CONCLUSIONS

BMI z-score and WC may be the best predictors of EBP and BMI z-score for HTN among Jordanian schoolchildren.

Body adiposity measures and risk of adolescent hypertension among the postpubescents Northeast India

OBJECTIVES

The present study attempts to associate and predict adolescent hypertension in Northeast India through body adiposity measures.

METHOD

A total of 728 adolescents aged 15 years and above were included in the present study after consent. Blood pressure and related anthropometric data were collected. The prevalence rate was calculated. Significant tests and correlation analyses were conducted between the blood pressure parameters and anthropometric body adiposity measures. The odds ratio (OR) was also calculated to assess the likelihood of risks. The receiver operating characteristic (ROC) curve analysis was performed to find the measured parameters' predictive cut-off values.

RESULTS

The prevalence of adolescent hypertension is 29.12%, and elevated blood pressure is 20.47%. Boys are more hypertensive than girls. Obese adolescents are more prone to hypertension. Overweight, obese, and abdominal volume index (AVI) has 2.31, 5.15, and 3.41 OR to develop hypertension significantly, irrespective of gender. Among the boys, waist circumference (WC), AVI, and waist to height ratio (WHtR) significantly correlate with hypertension at adjusted for age; they are better predictors with area under curve (AUC) value reach 0.7. Among the females, the BMI reaches AUC 0.7, making it a better assessment for hypertension.

CONCLUSION

The study highlights the concerns of adolescent hypertension among Northeast Indian adolescents, which needs attention. More studies in different regions must be conducted to understand the problem's crux to enable health policymakers to promote adolescent health.

Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis

OBJECTIVE

To provide the latest evidence of performance and robustness of waist-to-height ratio (WHtR) in discriminating clusters of cardiometabolic risk factors (CMRs) and promote WHtR in routine primary health care practice in children, a meta-analysis was used.

METHODS

Searches was performed in eight databases from inception to July 03, 2020. Inclusion criteria were: (1) observational study, (2) children and adolescents, (3) provided WHtR measurements, (4) had CMRs as outcomes, and (5) diagnostic studies. Exclusion criteria were: (1) non-original articles, (2) unable to extract 2 × 2 contingency tables, (3) not in English or Chinese language, (4) populations comprising clinical patients, or (5) duplicate articles. WHtR cutoff points, 2 × 2 contingency tables were extracted from published reports. Outcomes included: CMR clusters of at least three CMRs (CMR₃), two (CMR₂), one (CMR₁), and CMR components. Bivariate mixed-effects models were performed to estimate the summarised area under the curves (AUSROC) with 95% CIs and related indexes. We conducted subgroup analyses by sex and East Asian ethnicity.

RESULTS

Fifty-three observational studies were included. The AUSROC reached 0.91 (95% CI: 0.88-0.93), 0.85 (95% CI: 0.81, 0.88) and 0.75 (95% CI: 0.71, 0.79) for CMR₃, CMR₂, and CMR₁, respectively. The pooled sensitivity and specificity for CMR₃ reached 0.84 and exceeded 0.75 for CMR₂. For CMR₁, the sensitivity achieved 0.55 with 0.84 for specificity. We had similar findings for our subgroup and sensitivity analyses.

CONCLUSIONS

WHtR shows good and robust performance in identifying CMRs clustering across racial populations, suggesting its promising utility in public health practice globally.

Association of adiposity indicators with hypertension among Chinese adults

BACKGROUND AND AIMS

Obesity has been linked to the development of hypertension, but the comparison of relationships between different obesity parameters with hypertension are scarcely studied with nationally representative Chinese adults samples. We sought to compare the predictive strengths of different obesity indicators to hypertension.

METHODS AND RESULTS

Data in this study were obtained from the Chinese National Stroke Prevention Project with a nationally representative sample of Chinese aged 40 years and older. A total of 162,880 individuals were included. Multi-level analyses and Receiver Operating Characteristic (ROC) curves were used to examine the risk of hypertension in relation to different obesity parameters, including body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI). As results, the BMI, WC, LAP, VAI, and BAI were positively associated with the risk of hypertension (P < 0.001). In total, BMI had the strongest association with hypertension when compared with other obesity indicators, and one SD up of BMI would increase the risk of hypertension by 53.9% (95% CI: 1.514-1.566). For men, WC was most associated with hypertension, and one SD up of WC would increase the risk of hypertension by 73.3% (95% CI: 1.685-1.782). For women, BMI showed the strongest predictive power, one SD up of BMI would increase the risk of hypertension by 51.0% (95% CI: 1.479-1.543).

CONCLUSIONS

BMI, WC, LAP, VAI, and BAI are all positively corrected to hypertension, but gender disparities should be considered in predicting hypertension by obesity indicators.

Predictive capacity of obesity indices for high blood pressure among southern Ethiopian adult population: a WHO STEPS survey

BACKGROUND

World Health Organization (WHO) consultation experts recommend countries to have guidance to identify public health action points suitable for their country. The objective of the study was to evaluate different obesity indices to predict high blood pressure and its optimal cutoff values among the adult population.

METHOD

A total of 3368 individuals age from 25 to 64 years were included in this study. Data was collected based on the WHO Stepwise approach. Body mass index (BMI), waist circumference (WstC), waist to hip ratio (WHpR) and waist to height ratio (WHtR) were measured and calculated. High blood pressure was considered for those with systolic blood pressure above 135 mmHg, diastolic blood pressure above 85 mmHg or taking antihypertensive medications. To generate cutoff values, the receiver operator characteristic curve was generated with the maximum Youden index.

RESULT

Women had a significantly higher hip circumference (P = 0.003), BMI (P = 0.036) and WHtR (P < 0.001) than men. Men had significantly higher WHpR (P = 0.027) than women. There were significantly higher BMI, WstC, WHpR, and WHtR among those with high blood pressure. The cutoff values for BMI, WstC, WHpR and WHtR were 22.86 kg/m2, 84.05 cm, 0.91 and 0.50 for men and 24.02 kg/m2, 79.50 cm, 0.91 and 0.51 for women, respectively.

CONCLUSION

BMI, WstC, WHpR, and WHtR are a useful predictor of high blood pressure among adults' rural residents of southern Ethiopia. As the sensitivity for the cutoff values of most of indices were low, further surveys in different settings may need to be done before a conclusion can be drawn on whether or not to review the anthropometric cut offs for high blood pressure in Ethiopia.

Association Between Abdominal Waist Circumference and Blood Pressure In Brazilian Adolescents With Normal Body Mass Index: Waist circumference and blood pressure in Adolescents

Obesity is the most common chronic disease in adolescents. In adults, waist circumference (WC) is associated with the presence of cardiovascular risk factors and is also a better predictor of cardiovascular (CV) risk than body mass index (BMI). The association between WC and CV risk factors in adolescents has been poorly explored so far, mainly in those within the normal BMI range.

The utility of anthopometric indicators to identify cardiovascular risk factors in Vietnamese children

BMI, waist circumference (WC) and waist-to-height ratio (WHtR) can be used for discriminating children and adolescents at risk of CVD. However, consensus on how to use these anthropometric indicators is lacking for children and adolescents in Asia. Discrete criteria are promoted internationally, but continuous variables could be used. Data from a survey of 10 949 Vietnamese school-aged children (6-18 years) were used to evaluate the performance of anthropometric indicators to identify elevated blood pressure (BP), dyslipidaemia or at least three cardiovascular risk factors (CVRF). Weight, height, WC and BP were measured using standardised protocols; 1009 participants who had blood lipids were analysed. AUC was used to assess the performance, and the Youden index to identify optimal cut-offs. The prevalence of elevated BP, dyslipidaemia and CVRF was 26·5, 49·3 and 12·2 %, respectively. BMI, WC and WHtR had low capacity to identify elevated BP and dyslipidaemia (AUC range 0·61-0·66) but moderate capacity to identify CVRF (0·72-0·74). Optimal BMIZ cut-offs to identify elevated BP, dyslipidaemia and CVRF were 0·40, 1·01 and 1·1 sd; for WC z-score, they were 0·06, 0·49 and 0·62 sd; for WHtR, optimal cut-offs were close to 0·5. A BMIZ cut-off of 1·0 sd and a WHtR cut-off of 0·5 would, therefore, be useful criteria to identify Vietnamese children who are likely to have CVRF. However, further validation of these criteria in other studies of Asian children and adolescents is needed.