2016
DOI: 10.1080/03014460.2016.1224387
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Diagnostic performance of neck circumference to identify overweight and obesity as defined by body mass index in children and adolescents: systematic review and meta-analysis

Abstract: The NC had moderate diagnostic accuracy for identifying overweight and obesity in children and adolescents.

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Cited by 22 publications
(18 citation statements)
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“…The performance of a neck circumference to predict moderate/high CVRs could be explained as the neck circumference is a good predictor of obesity, at least in adolescents 37 38. However, our results were controlled by obesity and the association between cardiometabolic risk factors and neck circumference seems to be independent of the association between cardiometabolic risk factors and BMI and visceral fat, but synergistic with the latter 30…”
Section: Discussionmentioning
confidence: 58%
See 1 more Smart Citation
“…The performance of a neck circumference to predict moderate/high CVRs could be explained as the neck circumference is a good predictor of obesity, at least in adolescents 37 38. However, our results were controlled by obesity and the association between cardiometabolic risk factors and neck circumference seems to be independent of the association between cardiometabolic risk factors and BMI and visceral fat, but synergistic with the latter 30…”
Section: Discussionmentioning
confidence: 58%
“…For example, to predict metabolic syndrome in the Brazilian population the values used were 39.6 cm for men and 36.1 cm for women39 and for the Chinese population of 65 years old and over were 38 cm for men and 35 cm for women 40. There is evidence about a lack of consistency between neck circumference cut-off points in pooled analyses,38 so it is recommendable to use local values. In this study, the cut-off points were based on the best sensitivity and specificity of neck circumference to predict moderate/high CVR in both genders.…”
Section: Discussionmentioning
confidence: 99%
“…Despite tracking a lower percentage of overweight and obesity, NC has a greater capacity to identify risks of diseases resulting from obesity, such as hypertension, 29 dyslipidemia, insulin resistance and other metabolic complications. 30 Its predictive ability is explained by the power to identify the distribution of body fat. In children and adolescents, the distribution of fat is more harmful to health than just excess fat.…”
Section: Discussionmentioning
confidence: 99%
“…It has also been shown as a tool associated with central obesity [ 6 ], hypertension and other components of metabolic syndrome (MetS) [ 7 ]. A recent meta-analysis from six studies in children and adolescents showed that NC was moderately associated with BMI [ 8 ]. To our knowledge, there has been no meta-analysis on sensitivity (SE) and specificity (SP) of NC to identify cardiometabolic risk factors, so far.…”
Section: Introductionmentioning
confidence: 99%