AbstractBackground:Many studies have reported the association between body mass index (BMI) and fasting lipid profiles in children. However, little information exists about the screening of dyslipidemia in the non-fasted state. This study assessed whether BMI can predict non-fasting lipid abnormalities in children.Methods:Using gender-separated analysis, 3895 boys and 3866 girls (aged 11–12 years) were investigated. Total cholesterol (TC), triglyceride (TG) and HDL-cholesterol (HDL-C) were measured, and non-HDL-C (=TC−[HDL-C]) was calculated. A BMI z-score was employed as the weight status. Gender-specific 95th percentiles of TC, TG and non-HDL-C were defined as “elevated”, with the 5th percentiles of HDL-C defined as “reduced”.Results:TG and non-HDL-C were positively, and HDL-C was negatively correlated with the BMI z-score in both genders. Both obese (2<BMI z-score) and overweight (1<BMI z-score≤2) were associated with the risks of elevated TG, non-HDL-C and reduced HDL-C. In both genders, a receiver operating characteristic curve demonstrated that the utility of predicting the above lipid abnormalities was moderate; the areas under the curve ranged from 0.60 to 0.70. The optimal cut-off for the BMI z-score for predicting elevated TG, non-HDL-C and reduced HDL-C were 0.52, 0.55 and 0.51 in boys and 0.34, 0.38 and 0.35 in girls, respectively.Conclusions:The BMI could be an indicator of abnormalities of non-fasting TG, non-HDL-C and HDL-C in both genders.
Journal of Pediatric Endocrinology and Metabolism – de Gruyter
Published: Mar 28, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera