Predictive capacity of anthropometric indicators for dyslipidemia screening in children and adolescents

Abstract

The anthropometric indicators studied had little utility as screening tools for dyslipidemia, especially in children.

Waist‐to‐height ratio, body mass index and waist circumference for screening paediatric cardio‐metabolic risk factors: a meta‐analysis

“…For Jung et al 's study , the AUC values of screening low HDL and high TG were significantly greater than 0.6 using each anthropometric index, but the AUC for screening high LDL was not significantly greater than 0.5. In another study that categorized the results by sexes and age groups , the highest AUC values were observed in the age group of 16–18 years, which were all significantly greater than 0.5. In the same age group, although WHtR did not have a significantly better discriminatory power than BMI and WC, WC did have a higher AUC than BMI when screening dyslipidemia.…”

“…Four included articles were not included in the meta‐analysis, and the results are presented narratively. Three of them did not provide 95% CI ; one article has investigated dyslipidemia , but the outcome was not categorized by the types of biomarkers as other included articles. The authors of one study were contacted and have provided the 95% CI of pre‐hypertensive data but not for the pre‐diabetic data .…”

“…All included papers are cross-sectional studies, being published between 2007 and 2015. Sixteen studies were conducted in the American continent (19,21,(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38), 10 in Europe (39-48), six in Asia (49)(50)(51)(52)(53)(54) and two in Africa (55,56).…”

“…Three studies examined dyslipidemia (32,37,43), where the AUC value for WHtR and BMI to screen for high LDL and low HDL was higher than 0.6 and higher than 0.7 when screening for high TG (32). For Jung et al's study (43), the AUC values of screening low HDL and high TG were significantly greater than 0.6 using each anthropometric index, but the AUC for screening high LDL was not significantly greater than 0.5.…”

Association of change in waist circumference and dyslipidaemia risk: The rural Chinese cohort study

“…9 Body mass index is closely related to body fat 10,11 but cannot accurately reflect the distribution of fat mass in the body. 12 Abdominal visceral fat showed better correlation with dyslipidaemia than total fat mass, [13][14][15][16][17][18] and WC was a good indicator for evaluating abdominal fat accumulation. 19,20 During long-term follow-up of a cohort population, participants with abnormal WC at baseline may show corrected WC, and some with normal WC at baseline may show central obesity because of lifestyle changes.…”