Distribution curve of waist-to-height ratio and its association with blood pressure among children and adolescents: study in a large population in an eastern coastal province, China.

Several studies have suggested that waist-to-height ratio (WHtR) is an accurate and easier index for evaluating abdominal obesity in both children and adults. The present study examined the distribution of WHtR and its association with blood pressure (BP) levels among children and adolescents in a large population in Shandong, China. A total of 38,810 students (19,453 boys and 19,357 girls) aged 7-17 years participated in this study. Height, waist circumference (WC), and BP of all subjects were measured, and WHtR was calculated. Abdominal obesity was defined as WHtR ≥0.5; high BP status was defined as systolic blood pressure (SBP) and/or diastolic blood pressure (DBP) ≥95th percentile for age and gender. Overall, 16.45% (95%CI: 15.93-16.97) and 7.80% (95%CI: 7.42-8.17) of boys and girls had a WHtR ≥0.5. WHtR was positively correlated with SBP and DBP in both boys and girls. The mean values of SBP and DBP for both boys and girls were all significantly higher in the WHtR ≥0.5 group than in the WHtR<0.5 group. Z-scores of BP and the prevalence of high BP increased with WHtR. The prevalence of high BP increased from 10.61 (boys) and 9.64% (girls) in the WHtR <0.34 group to 55.11 (boys) and 51.97% (girls) in the WHtR ≥0.58 group, an increase of 4.2- and 4.4-times. We conclude that children and adolescents with high WHtR might have an increased risk of elevated BP. These findings highlight the importance of the prevention of abdominal obesity in order to prevent future-related problems such as hypertension in children and adolescents.

Secondary structure prediction of interacting RNA molecules.

Computational tools for prediction of the secondary structure of two or more interacting nucleic acid molecules are useful for understanding mechanisms for ribozyme function, determining the affinity of an oligonucleotide primer to its target, and designing good antisense oligonucleotides, novel ribozymes, DNA code words, or nanostructures. Here, we introduce new algorithms for prediction of the minimum free energy pseudoknot-free secondary structure of two or more nucleic acid molecules, and for prediction of alternative low-energy (sub-optimal) secondary structures for two nucleic acid molecules. We provide a comprehensive analysis of our predictions against secondary structures of interacting RNA molecules drawn from the literature. Analysis of our tools on 17 sequences of up to 200 nucleotides that do not form pseudoknots shows that they have 79% accuracy, on average, for the minimum free energy predictions. When the best of 100 sub-optimal foldings is taken, the average accuracy increases to 91%. The accuracy decreases as the sequences increase in length and as the number of pseudoknots and tertiary interactions increases. Our algorithms extend the free energy minimization algorithm of Zuker and Stiegler for secondary structure prediction, and the sub-optimal folding algorithm by Wuchty et al. Implementations of our algorithms are freely available in the package MultiRNAFold.