Diagnostic performance of Body Mass Index, Waist Circumference and the Waist-to-Height Ratio for identifying cardiometabolic risk in Scottish pre-adolescents

Buchan, Duncan S.; McLellan, Gillian; Donnelly, Samantha; Arthur, Rosemary

doi:10.1080/03014460.2016.1247911

Cited by 13 publications

(10 citation statements)

References 26 publications

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“…The correlation coefficient between the WtHR values and a quantitative MS scale was measured in three studies . The OR of a high WtHR for MS was reported in 12 studies , and the OR adjusted for another measure of obesity in six . Finally, the increase in risk (OR) associated with each unit of increase in WtHR was given in two studies .…”

Section: Resultsmentioning

confidence: 99%

“…The accuracy of WtHR above the cut‐off point to identify the clustering of MS criteria was evaluated in 13 studies, with estimates of sensitivity and specificity . The AUC of the progressive increasing measurements of the WtHR to classify MS was estimated in 18 studies . The correlation coefficient between the WtHR values and a quantitative MS scale was measured in three studies .…”

Section: Resultsmentioning

confidence: 99%

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Waist‐to‐height ratio as a risk marker for metabolic syndrome in childhood. A meta‐analysis

Sangrador

Ochoa-Brezmes

2018

Pediatric Obesity

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Waist‐to‐height ratio as a risk marker for metabolic syndrome in childhood. A meta‐analysis

Sangrador

Ochoa-Brezmes

2018

Pediatric Obesity

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“…[25] For instance, a recent study suggested that combination of BMI with waist circumference may provide an added benefit in the assessment of cardiometabolic risk amongst pre-adolescents. [26] In this present study, insulin had a strong correlation with BMI represents an independent risk factor for cardiovascular and metabolic diseases. [27,28] Other cardiometabolic measures, particularly HDL, triglycerides (significantly associated with BMI) and high blood pressure (high prevalence in children with obesity) are important outcome measures in weight reduction programs in children with obesity.…”

Section: Discussionmentioning

confidence: 49%

Obesity and metabolic syndrome in children in Brazil

Sentalin

Pinheiro²,

Oliveira

et al. 2019

Medicine

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The purpose of this observational study was to examine the prevalence of obesity in children of 6 to 8 years of age from primary public schools over a period of 6 years and the associated environmental and metabolic health risk factors. This was a cohort observational study to investigate the prevalence of obesity in children from 14 state primary schools in Vinhedo, Sao Paulo state. Environmental and metabolic health risk factors for obesity were investigated in a cross-sectional survey. This present study revealed 74.0% of children with obesity consumed fried foods and sweets at school, and 84.0% consumed snacks and soft drinks at home. This cohort reported to have engaged in physical activity for less than 3 hours per week at school (93.0%) and at home (85.0%). There was a high prevalence of increased waist circumference and insulin resistance among children with obesity (84.9% and 84.5%, respectively). The body mass index had a significant Spearman correlation with waist circumference, insulin resistance, and triglycerides. Childhood obesity was associated with a high prevalence of both environmental and metabolic risk factors. Also, the authors conclude that the lack of parents’ awareness of childhood obesity and its risk factors represents a substantial barrier to lifestyle counseling.

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“…HbA1c is a suitable glucose metabolism metric, but improved specificity could result from the addition of a fasting glucose level [ 42 ] in cases selected based on the HbA1c threshold. Selection of BMI is a recognized measure of adiposity in adolescents, but waist circumference and waist to height ratio may provide added information on cardiovascular risk [ 43 ]. Although tobacco smoking is a major cardiovascular risk factor beginning in youth [ 44 ], it has received scant attention as a screening metric and assessment could be improved by including parental smoking, alternative tobacco sources, and grading according to smoking frequency and exposure.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of Ideal Cardiovascular Health Evaluation in a Pediatric Clinic Setting

Blackett

Farrell

Truong

et al. 2018

Advances in Preventive Medicine

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The feasibility of “point-of-care” screening for ideal cardiovascular health was explored in a pediatric specialty clinic setting. Children and adolescents aged 9–18 years (n=91) with treated and stabilized diseases were recruited at a pediatric endocrinology clinic. A table-top device was used to assay fingerstick samples for non-HDL cholesterol (non-HDL-C), which was used to divide participants into two groups based on the non-HDL-C threshold for comparison of the remaining metrics between groups. A significant number of children had low scores, and score frequency distribution was similar to larger retrospective studies, with few participants achieving none or all of the health metrics. Healthy diet was the metric least often achieved. Those with a non-HDL-C above the ideal threshold of 3.1 mmol/L (120 mg/dl) had a higher BMI percentile (p<0.01) and diastolic blood pressure percentile (p<0.05). We conclude that pediatric risk factor screening and scoring can be performed in a specialty clinic with meaningful cardiovascular health scores for patients and providers. Association of abnormal “point-of care” non-HDL-C levels with elevated BMI and blood pressure supports evidence for risk factor clustering and use of the ideal health construct in pediatric clinic settings.

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Diagnostic performance of Body Mass Index, Waist Circumference and the Waist-to-Height Ratio for identifying cardiometabolic risk in Scottish pre-adolescents

Abstract: Findings suggest that the combination of BMI with either WC or WHtR may provide an added benefit in the assessment of cardiometabolic risk amongst pre-adolescents.

Cited by 13 publications

References 26 publications

Waist‐to‐height ratio as a risk marker for metabolic syndrome in childhood. A meta‐analysis

Waist‐to‐height ratio as a risk marker for metabolic syndrome in childhood. A meta‐analysis

Obesity and metabolic syndrome in children in Brazil

Feasibility of Ideal Cardiovascular Health Evaluation in a Pediatric Clinic Setting

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