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1.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-862586

ABSTRACT

Objective@#To investigate the association between mental sub-health and physical fitness of Chinese adolescents, to provide a reference for promoting the physical and mental health of Chinese adolescents.@*Methods@#A total of 16 545 adolescents (13-22 years) were selected by random cluster sampling in six major administrative regions in China. The psychological part of the Multidimensional Sub-health Questionnaire of Adolescents (MSQA) and the physical fitness index test were used to assess mental sub-health and physical fitness, respectively. The chi-square test and Logistic regression analysis were used to analyze and compare the relationships between different levels of physical fitness and mental sub-health.@*Results@#The overall detection rate of mental sub-health status among high-grade physical fitness index adolescents was 11.9%, and the detection rate among low-grade physical fitness index youths was 26.0%, and the difference was statistically significant (χ2=970.73,P<0.05). The overall detection rate among high-grade physical fitness index boys was 11.1%, and that of low-grade physical fitness index boys was 24.4%. The difference was statistically significant (χ2=566.12,P<0.05). The overall detection rate of mental sub-health status among high-level physical fitness index girls was 12.8%, and that among low-level physical fitness index girls was 27.6%, and the difference was statistically significant (χ2=412.25,P<0.05). After adjusting for gender, age, BMI, and region in the Logistic regression model, the detection rate of mental sub-health status of adolescents with low-grade physical fitness index was 2.35 times higher than that of high-grade physical fitness index adolescents(95%CI=2.12-2.61).@*Conclusion@#Adolescents with poor physical fitness have a higher risk of mental sub-health.Attention should be paid to adolescent physical fitness development to comprehensively improve physical and mental health development.

2.
Chinese Journal of School Health ; (12): 1831-1834, 2020.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-862209

ABSTRACT

Objective@#To understand the mental sub-health status of Chinese adolescents and its correlation with muscle strength index, and to provide information for relevant research in mental health and muscle strength development of Chinese adolescents.@*Methods@#A total of 16 545 adolescents aged 13-22 year-old in six administrative regions of China were administered with the Adolescent Sub-Health Multidimensional Assessment Questionnaire (MSQA). Muscle strength indicatros were tested and its relations with mental sub-health were analyzed.@*Results@#The detection rates of Chinese adolescents emotional problems, character problems, social adjustment difficulties, and mental sub-health status were 25.5%, 25.0%, 16.0%, and 19.7%, respectively. The detection rates of mental sub-health status of adolescents in the group of muscle index <P25, P25-P75, >P75 were 30.3%, 19.0%, and 10.4%, respectively, and the difference was statistically significant(χ2=522.03, P<0.01). Logistic regression analysis showed that junior high school(OR=2.55), high school(OR=2.27), male students(OR=1.15), muscle index <P25 (OR=3.81), P25-P75 (OR=2.03) group were positively correlated with mental sub-health(P<0.01).@*Conclusion@#There is a correlation between the mental sub-health of Chinese adolescents and the muscle strength index. The higher the muscle strength index, the lower detection rate of mental sub-health.

3.
Molecules ; 24(21)2019 Oct 31.
Article in English | MEDLINE | ID: mdl-31683708

ABSTRACT

As a novel monoterpenoid indole alkaloid, gardneramine has been confirmed to possess excellent nervous depressive effects. However, there have been no reports about the measurement of gardneramine in vitro and in vivo. The motivation of this study was to establish and validate a specific, sensitive, and robust analytical method based on UHPLC-MS/MS for quantification of gardneramine in rat plasma and various tissues after intravenous administration. The analyte was extracted from plasma and tissue samples by protein precipitation with methanol using theophylline as an internal standard (I.S.). The analytes were separated on an Agilent ZORBAX Eclipse Plus C18 column using a gradient elution of acetonitrile and 0.1% formic acid in water at a flow rate of 0.3 mL/min. Gardneramine and I.S. were detected and quantified using positive electrospray ionization in multiple reaction monitoring (MRM) mode with transitions of m/z 413.1→217.9 for gardneramine and m/z 181.2→124.1 for I.S.. Perfect linearity range was 1-2000 ng/mL with a correlation coefficient (r2) of ≥0.990. The lower limit of quantification (LLOQ) of 1.0 ng/mL was adequate for application to different preclinical studies. The method was successfully applied for determination of gardneramine in bio-samples.


Subject(s)
Alkaloids/blood , Alkaloids/pharmacokinetics , Chromatography, High Pressure Liquid/methods , Tandem Mass Spectrometry/methods , Alkaloids/administration & dosage , Animals , Injections, Intravenous , Rats, Sprague-Dawley , Reference Standards , Reproducibility of Results , Theophylline/blood , Tissue Distribution
4.
J Pharm Biomed Anal ; 169: 208-214, 2019 May 30.
Article in English | MEDLINE | ID: mdl-30877932

ABSTRACT

As a novel alkaloid, trolline is a potential methionine aminopeptidase Ⅱ inhibitor. However, up to now, no informations about the quantification of trolline were available in biosamples. In this study, a simple, specific and sensitive analytical method based on UHPLC-MS/MS method has been established and validated for determination of trolline in rat plasma and tissues after intravenous administration. Sample preparation was carried out by a simple liquid-liquid extraction and carbamazepine was used as internal standard (I.S.). Chromatographic separation was achieved by using a Waters BEH C18 column and involving the optimized mobile phase of 0.1% formic acid aqueous solution and acetonitrile with gradient elution flow of 0.20 ml/min. Trolline and I.S. were detected by multiple reaction monitoring (MRM) modes with positive electrospray ionization and transitions at m/z 220.0→136.8 for trolline and m/z 237.0→193.9 for carbamazepine (I.S.). Good linearity was ranged from 10.0 ng/ml to 4000 ng/ml for trolline both in plasma and various tissues. The lower limit of quantification (LLOQ) was 10 ng/ml in all samples. The intra- and inter-day precision (RSD%) were below 11.3% and the accuracy (RE%) was ranged from -10.2% to 12.3%. The validated method was successfully applied to the pharmacokinetics and tissue distribution study of trolline after intravenous administration.


Subject(s)
Alkaloids/chemistry , Alkaloids/pharmacokinetics , Chromatography, High Pressure Liquid/methods , Tandem Mass Spectrometry/methods , Administration, Intravenous/methods , Animals , Rats , Rats, Sprague-Dawley , Reproducibility of Results , Tissue Distribution
5.
Neural Netw ; 24(7): 717-25, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21612889

ABSTRACT

This paper presents a flexible structure Radial Basis Function (RBF) neural network (FS-RBFNN) and its application to water quality prediction. The FS-RBFNN can vary its structure dynamically in order to maintain the prediction accuracy. The hidden neurons in the RBF neural network can be added or removed online based on the neuron activity and mutual information (MI), to achieve the appropriate network complexity and maintain overall computational efficiency. The convergence of the algorithm is analyzed in both the dynamic process phase and the phase following the modification of the structure. The proposed FS-RBFNN has been tested and compared to other algorithms by applying it to the problem of identifying a nonlinear dynamic system. Experimental results show that the FS-RBFNN can be used to design an RBF structure which has fewer hidden neurons; the training time is also much faster. The algorithm is applied for predicting water quality in the wastewater treatment process. The results demonstrate its effectiveness.


Subject(s)
Neural Networks, Computer , Water Quality , Algorithms , Nonlinear Dynamics
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