ABSTRACT
Objective@#To verify the current cut off points of physical activity intensity for adolescents to assess moderate to vigorous physical activity (MVPA) among overweight or obese adolescents.@*Methods@#The total activity counts, heart rate and steps indicators most commonly used to reflect physical activity intensity were adopted, and a total of 15 MVPA cut off points standards for adolescents were included. Ninety four overweight or obese adolescents were tested for walking and running at 3-7 km/h in a free state, while simultaneously wearing MetaMax 3B gas metabolism analyzer, polar belt and actigraph w-GT3x BT triaxial accelerometer to collect energy consumption and activities count, heart rate and steps. Kappa consistency test and paired χ 2 test were used for statistical analysis.@*Results@#Kappa consistency coefficients (0.27-0.53) <0.60 between all cut off points standards and the "gold standard" and the P <0.01, indicating that the consistency is varied and not strong. In the standard diagnosis of each cut points, low sensitivity (49.11-67.59), high specificity (92.50-97.65), high - LR (0.14-0.52, >0.1) and low DOR (8.26-25.19, <30) indicated high rate of misdiagnosis. Low specificity (36.75-69.41), high sensitivity (84.82-96.36) and low + LR (1.52- 9.83 , <10) indicated a high rate of misdiagnosis; AUC of 0.67-0.80 suggested lower diagnostic performance.@*Conclusion@#Existing physical activity intensity cut off points for overweight or obese adolescents were not consistent with MVPA and have low diagnostic capabilities. The following criteria of MVPA for overweight or obese adolescents are supposed.
ABSTRACT
To identify biomarkers for spleen Qi deficiency by analyzing small molecule metabolites in urine, in order to expound the relationship between biomarkers and metabolic pathways. The spleen Qi deficiency model was established through dietary restriction and overstrain. All of the rats received D-xylose absorption experiment and blood routine test. Urine samples were collected in the next day. The urine samples were analyzed using UPLC-Q-TOF-MS to obtain the dataset of urine metabolic group. Principal component analysis (PCA), orthogonal partialleast squares-discriminant analysis (OPLS-DA) and other multivariate statistical methods were employed to evaluate the quality of the dataset and screen out potential biomarkers of spleen Qi deficiency. The results of D-xylose absorption and blood routine demonstrated that the spleen Qi deficiency model was successfully established. In positive ion mode and negative ion mode, PCA and OPLS-DA score plots could clearly distinguish model group and blank group. According to S-plot of OPLS-DA, VIP value, t-test and area under receiver operating characteristic curve (ROC), 24 biomarkers, including phenylalanine, succinic acid, aconitic acid, isocitrate acid, betaine, kynurenine, indole, creatine, creatinine, orotic acid, xanthine, and xanthurenic acid, were identified as associated with the spleen Qi deficiency, mainly involving energy metabolism, amino acid metabolism, tryptophan metabolism, purine metabolism and pyrimidine metabolism. Urine metabolomics method combined with online software package for data processing and analysis metabolic pathway can provide new methods and ideas for studies for spleen Qi deficiency and other traditional Chinese medicine symptoms.
