Abstract:Measuring WtHR may be considered in regular health checks of children and adolescents, as it can measure cardiovascular risk regardless of the degree of general obesity.
“…Based on the idea "keep your WC to less than half your height," the cutoff of 0.5 was established [20]. However, different studies have demonstrated that this cutoff point has a low accuracy to diagnose metabolic abnormalities [28]. Based on the data from the NHANES, the cutoff of 0.60 has been proposed as an effective tool for classifying the metabolic risk among obese children and adolescents [26].…”
Section: Discussionmentioning
confidence: 99%
“…Different studies have proposed that WtHR is more sensitive than other anthropometric parameters as an early warning of health risks [11] and seems to be an effective indicator of central adiposity [26]. Children with a high level of WtHR have four times more risk of developing MetS [28]. Moreover, it is simple to measure and calculated because it does not require gender-and age-specific centiles, but the threshold of WtHR ≥ 0.…”
Section: Discussionmentioning
confidence: 99%
“…However, some studies have proposed different cutoff values of WtHR to detect with accuracy children at cardiometabolic risk [26,27], therefore, there is no worldwide consensus about the optimal cutoff of WtHR that should be used to identify children at risk. In addition, it has been proposed that it is advisable to use an alternative cutoff depending on the observed prevalence [28].…”
An excess of fat mass has been associated with adverse cardiometabolic risk factors. Different anthropometric measures have been proposed as alternative non-invasive measures for obesity-related cardiometabolic risk. To evaluate the magnitude of association between waist circumference (WC) and waist-to-height ratio (WtHR) with cardiometabolic risk factors and metabolic syndrome and to determine the WtHR cutoff associated with a more favorable cardiometabolic risk profile in Spanish children, data were taken from a cross-sectional survey conducted in 2010 among 848 schoolchildren aged 8–11 years from 20 public schools in the province of Cuenca (Spain). Anthropometric variables, glucose, insulin, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), systolic (SBP) and diastolic blood pressure (DBP) and metabolic syndrome (MetS) were also analyzed. WtHR and WC had a good accuracy for TG, insulin, and MetS. The diagnostic odds ratio ranged from 2.95 to 9.07 for WtHR and from 5.30 to 27.40 for WC. The main result of the present study suggests that both WtHR and WC could be used as a screening tool to identify children with cardiometabolic abnormalities.
“…Based on the idea "keep your WC to less than half your height," the cutoff of 0.5 was established [20]. However, different studies have demonstrated that this cutoff point has a low accuracy to diagnose metabolic abnormalities [28]. Based on the data from the NHANES, the cutoff of 0.60 has been proposed as an effective tool for classifying the metabolic risk among obese children and adolescents [26].…”
Section: Discussionmentioning
confidence: 99%
“…Different studies have proposed that WtHR is more sensitive than other anthropometric parameters as an early warning of health risks [11] and seems to be an effective indicator of central adiposity [26]. Children with a high level of WtHR have four times more risk of developing MetS [28]. Moreover, it is simple to measure and calculated because it does not require gender-and age-specific centiles, but the threshold of WtHR ≥ 0.…”
Section: Discussionmentioning
confidence: 99%
“…However, some studies have proposed different cutoff values of WtHR to detect with accuracy children at cardiometabolic risk [26,27], therefore, there is no worldwide consensus about the optimal cutoff of WtHR that should be used to identify children at risk. In addition, it has been proposed that it is advisable to use an alternative cutoff depending on the observed prevalence [28].…”
An excess of fat mass has been associated with adverse cardiometabolic risk factors. Different anthropometric measures have been proposed as alternative non-invasive measures for obesity-related cardiometabolic risk. To evaluate the magnitude of association between waist circumference (WC) and waist-to-height ratio (WtHR) with cardiometabolic risk factors and metabolic syndrome and to determine the WtHR cutoff associated with a more favorable cardiometabolic risk profile in Spanish children, data were taken from a cross-sectional survey conducted in 2010 among 848 schoolchildren aged 8–11 years from 20 public schools in the province of Cuenca (Spain). Anthropometric variables, glucose, insulin, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), systolic (SBP) and diastolic blood pressure (DBP) and metabolic syndrome (MetS) were also analyzed. WtHR and WC had a good accuracy for TG, insulin, and MetS. The diagnostic odds ratio ranged from 2.95 to 9.07 for WtHR and from 5.30 to 27.40 for WC. The main result of the present study suggests that both WtHR and WC could be used as a screening tool to identify children with cardiometabolic abnormalities.
“…WHtR is regarded as one of the most potent markers of cardiometabolic risk in children and adolescents. In fact, Ochoa‐Sangrador and Ochoa‐Brezmes concluded that WHtR should be measured in regular health checks in this population, as it can measure cardiovascular risk regardless of the degree of general obesity. In their meta‐analysis if 31 studies, these authors showed a pooled AUC of 0.76 for boys and girls for MetS, which is slightly lower that the AUC observed in the present study.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, WC has been questioned for not considering height and hip circumference, and thus, the waist‐to‐hip ratio (WHR) and waist‐to‐height ratio (WHtR) emerged as parameters of clinical interest to evaluate adiposity and predict the cardiovascular risk. However, whereas WHtR has revealed as a potent marker of MetS in childhood, inconclusive results were obtained for WHR …”
Background
Waist circumference has been suggested as predictor for metabolic syndrome (MetS) in adolescents but it has not been compared with newly proposed anthropometric indexes. This study aimed to disclose the capacity of ten classic and novel anthropometric indexes to discriminate by the presence of MetS in this young population.
Materials and methods
A cross‐sectional study was performed on 981 adolescents (13.2 ± 1.2 years) randomly recruited from eighteen schools in south‐east Spain. Body fat percentage (BF%), abdominal volume index (AVI), body roundness index (BRI), body mass index (BMI), body adiposity index (BAI), body adiposity index for paediatrics (BAIp), conicity index (C‐Index), waist circumference (WC), waist‐to‐hip ratio (WHR), waist‐to‐height ratio (WHtR) and body shape index (ABSI) were measured and calculated. Receiver‐operator curves (ROC) were created to determine the discriminatory capacity of these anthropometric parameters for MetS.
Results
The prevalence of MetS was 7.0% for boys and 6.1% in girls. Participants with MetS had significantly higher levels of blood pressure and plasma levels of lipids, glucose and insulin. All anthropometric indexes were elevated in MetS individuals compared to the non‐MetS group. AVI and WC showed the highest AUC values (0.83 for boys and 0.86 for girls). In contrast, according to ROC analyses, no anthropometric index was capable of discriminating the components of MetS (hypertension, hypertriglyceridemia, hyperglycaemia and low‐HDL levels), except for abdominal obesity.
Conclusion
We suggest the use of WC and AVI, with the cut‐off points presented herein, for the discrimination between adolescents with or without MetS.
Metabolic syndrome (MetS) is known as a risk factor in cardiometabolic morbidity but there is no consensus on its definition for teenagers. We aimed to identify cardiometabolic health profiles and which parameters best discriminate them. K-means partitioning identified cardiometabolic profiles by sex using data on health measurements of 530 adolescents from the PARIS birth cohort. A discriminant analysis was performed. Cardiometabolic risk score and handgrip strength were also measured. Depending on definitions, MetS prevalence ranged from 0.2% to 1.3%. Two profiles were identified for the entire group and by sex: “healthy” and “at cardiometabolic risk.” Weight and waist-to-height ratio or waist circumference explained more than 87% of the variance in the profile differentiation. The “at cardiometabolic risk” profiles included adolescents with overweight, a waist-to-height ratio over 0.5, and prehypertension. They had higher cardiometabolic risk scores and parents who were more likely to be overweight and have cardiometabolic diseases themselves. They also had higher birthweights, earlier adiposity-rebound and puberty ages, and lower relative handgrip strength. Conclusion: The two profiles identified, based on cardiometabolic health, were associated with early indicators and handgrip strength. Results suggest that the waist-to-height ratio is a useful clinical tool for screening individuals at cardiometabolic risk and who therefore require clinical follow-up.
What is Known:• Although there is a need for tools to assess cardiometabolic health during adolescence, there is no consensus on the definition of metabolic syndrome for this age group.
What is Knew:• The findings suggest that waist-to-height ratio can serve as a simple and valuable clinical tool for screening individuals at cardiometabolic risk who may require clinical monitoring for early prevention of cardiovascular diseases.
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