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Objective:To explore the current situation of college students′ risk behavior and its relationship with alexithymia.Methods:A total of 992 college students from two colleges in Jiangxi Province were investigated with evaluation scale for risk behaviors of teenagers and Toronto alexithymia scale. SPSS 17.0 software was used for descriptive statistics, correlation analysis and regression analysis.Results:Evaluation scale for risk behaviors showed that 15.2% of college students had at least one risk behavior factor scored more than 3, and 1.0% had at least one factor scored more than 4. The scores of bad habits and extroversion behavior question of boys((1.72±0.50), (1.61±0.56)) were significantly higher than those of girls ((1.66±0.38), (1.45±0.40), t=2.205, P=0.028, t=5.020, P<0.01), and the scores of introversion behavior question and academic maladjustment of girls ((2.13±0.56), (2.51±0.53)) were significantly higher than those of boys ((1.97±0.62), (2.39±0.63), t=-4.157, P<0.01, t=-3.282, P=0.001). The four factors of risk behaviors were positively correlated with each other (0.497-0.673), and the risk behaviors of college students were clustered. There were significant differences in the total score of risk behaviors ((2.28±0.43), (1.99±0.37), (1.71±0.36)), introversion behavior question ((2.60±0.54), (2.17±0.49), (1.80±0.50)), bad habits ((1.95±0.49), (1.73±0.38), (1.54±0.36)), academic maladjustment ((2.82±0.52), (2.57±0.50), (2.25±0.54)) and extroversion behavior question ((1.72±0.56), (1.57±0.46), (1.37±0.38)) in alexithymia group, possible alexithymia group and non alexithymia group( F=157.252, 172.027, 75.654, 85.424, 45.604, all P<0.01). Multiple stepwise regression analysis showed that alexithymia could predict college students′ risk behaviors. Conclusion:Taking effective measures to reduce the level of alexithymia can reduce the occurrence of risk behaviors of college students.
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Objective:To predict the sepsis patients with bad outcomes in short term and help clinical physicians to take intervention measures to reduce the mortality.Methods:A total of 900 patients with sepsis who were hospitalized in the Dongyang Peoples’ Hospital between 1st Jan 2013 and 30th Mar 2021 had been involved in this study. Information including gender, age and examination results of first time within 24 hours following hospitalization were collected. Independent risk factors of death in 30 days were screened by logistic regression analysis and further confirmed by stepwise regression analysis. Based on the screened variables, nomogram prediction model was established. Finally, the prediction model was evaluated for its prediction power by the area under the curve of receiver operating characteristic (AUC), calibration accuracy by GiViTI calibration curve and clinical effectiveness by decline curve analysis (DCA). The established prediction model was validated by using bootstrap assay.Results:Stepwise regression analysis results showed that B-type natriuretic peptide, lactic acid, albumin, oxygenation index, mean artery pressure, hematocrit and heart rate within 24 hours after hospitalization were significantly associated with death in 30 days among patients with sepsis. The AUC of prediction model was 0.846, with P of 0.886 in calibration curve, calibration slope of 1.0, R2 of 0.385, brier scaled value of 0.092 and DCA curve above the two extreme curves. In validation using bootstrap, the prediction model owned an AUC of 0.854, a P of 0.994 in calibration curve, a brier scaled value of 0.090, a calibration slope of 1.0 and a R2 of 0.389. Also, its DCA curve was above the two extreme curves. Conclusions:B-type natriuretic peptide, Lactic acid, albumin, oxygenation index, mean artery pressure, hematocrit and heart rate within 24 hours after hospitalization were independent risk factors of death in 30 days among patients with sepsis. The established prediction model in this study owned good prediction power of sepsis patients who owned high risk of death in 30 days.
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The purpose of this study was to investigate the effect of key physical properties of hawthorn leaf granule on its dissolution behavior. Hawthorn leaves extract was utilized as a model drug. The extract was mixed with microcrystalline cellulose or starch with the same ratio by using different methods. Appropriate amount of lubricant and disintegrating agent was added into part of the mixed powder, and then the granules were prepared by using extrusion granulation and high shear granulation. The granules dissolution behavior was evaluated by using equilibrium dissolution quantity and dissolution rate constant of the hypericin as the indicators. Then the effect of physical properties on dissolution behavior was analyzed through the stepwise regression analysis method. The equilibrium dissolution quantity of hypericin and adsorption heat constant in hawthorn leaves were positively correlated with the monolayer adsorption capacity and negatively correlated with the moisture absorption rate constant. The dissolution rate constants were decreased with the increase of Hausner rate, monolayer adsorption capacity and adsorption heat constant, and were increased with the increase of Carr index and specific surface area. Adsorption heat constant, monolayer adsorption capacity, moisture absorption rate constant, Carr index and specific surface area were the key physical properties of hawthorn leaf granule to affect its dissolution behavior.
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RESUMO:A predição de valores de área foliar (AF) sem a destruição de plantas é de grande interesse nas pesquisas agronômicas. Neste trabalho, foram desenvolvidos e testados três modelos de predição de AF, utilizando-se a largura (L), o comprimento (C) ou em ambas as dimensões da folha de pessegueiro 'BRS Kampai'. Testou-se também um modelo genérico de DEMIRSOY et al. (2004), proposto para determinar AF em pessegueiro e desenvolvido nas condições de cultivo da Turquia. O uso de apenas uma dimensão, visando a reduzir a onerosidade nas avaliações, não permite predições adequadas e podem levar a erros estatísticos por alterar a variabilidade dos dados em relação às AF reais. O modelo não destrutivo proposto neste trabalho foi "AF=6,852+0,823L*C-0,691L2-1,614C/L", que pode ser indicado para estimar satisfatoriamente a AF em substituição à análise destrutiva e apresentou ganhos de estimação, quando comparado ao modelo genérico de DEMIRSOY et al. (2004).
ABSTRACT:The prediction of leaf area (LA) without causing damage to the plant is a subject of great interest in agricultural research. In this study, it was developed and tested three models based on the length (L), width (W) or both of these leaf dimensions of 'BRS Kampai' peach trees. Further to this, a DEMIRSOY et al. (2004) generic model proposed to determine leaf area in peach trees growing in Turkey was also tested. The use of only one dimension, which aims to reduce the effort required by the assessor, does not permit adequate predictions and may lead to statistical errors by changing the variability of the original LA data. The model proposed in this study was "LA=6.852+0.823L*W-0.691W2-1.614L/W", this model can be used to satisfactorily estimate the LA, replacing the destructive analysis, and provided a better prediction than the generic model proposed by DEMIRSOY et al. (2004).
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Objective To study the factors affecting the activities of daily life (AOL) of patients after the first stroke of cerebral infarction in order to formulate the intervention strategy for improving the capability of ADL of patients. Method A total of 149 patients with the first stroke of cerebral infarction admitted from Oct. 2008 to Dec.2008 were enrolled in this study. The demographics of patients, cerebral infarction risk factors, apopletic score as per National Institute of Health stroke scale (NIHSS), white blood cell count (WBC) and plasma glucose (PG) were recorded on the first day of admission, and many other laboratory examinations were done on the next morning. The occurrences of infection in lung and urinary tract, and atrial fibrillation were recorded during hospi-talization. The NIHSS score and score of Glasgow Coma Scale (GCS) were taken within 24 hours after admission, on the 14th day and at the end of the third month after cerebral infarction respectively. Barthel index (BI) was taken in the second week as well as at the end of third month by follow-up in the OPD or by telephone. The correlation analysis and multiple linear stepwise regression analysis were used to find the risk factors. Results The PG level, WBC count and NIHSS score were independently associated with ADL in the second week as well as at the end of the third month after cerebral infarction. Besides, the urinary tract infection during hospital stay was also independently associated with ADL at the end of the third month after cerebral infarction. Conclusions The plasma glucose level, WBC count, NIHSS score and urinary tract infection are the risk factors. Positive measures should be taken to control these risk factors so as to improve the capability of ADL of the patients after cerebral infarction.
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Objective To establish an equation between canine and other permanent teeth,and probe a new method to predict the sum of the mesiodistal diameters of unerupted permanent canines.Methods Samples consisted of 118 dental casts were obtained from Chinese patients(50 males,68 females,respectively).Mesiodistal tooth diameters were measured by a vernier caliper.GAS was used to establish the equation between canine and other permanent teeth,and compared with stepwise regression analysis.Those were modelling samples that optimized equations coefficient(112 samples).Others were inspection samples(6 samples).Results The equation between canine and other permanent teeth was established.MU=0.0511U1+0.2164U2+0.2780U4+0.0407U5+0.2853U6+0.8321①;ML=0.2998U1+0.1294U2+0.3912U4+0.0088U5+0.0791U6+0.9839②;FU=0.1419U1+0.1741U2+0.3258U4+0.0412U5+0.093U6+1.7355③;FL=0.2796U1+0.3750U2+0.2968U4+0.0268U5+0.0043U6+0.6030④.Compared with stepwise regression analysis,the mean error of precision by GAS was less(P
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Objective:To explore the influence of background data in multinutrient treatment for neonate with infection pneumonia. To study the relative risk factors in VA nutritional state. Methods:the orally vitamin A and vitamin E,zinc, selenite daily in 111 neonates in the randomized,double-blind, placebo-controlled,clinical Trial for 7 days treatment. We investigated and analyze the relevant biochemical,immune evidence, clinic data and background data, with multivariate stepwise regression analysis. Results:Mother’s age, parity,gestation age and birth weight play positive influence to clinical restoring. Neonate’s age and birth weight play a positive role to serum IgM in early stage of pneumonia,but mother’ s age is negativity. Neonate’s age is positivity in enhancing serum VA,and is negativity in advancing serum IgM. Mother’s age play a negative role to heighten serum RBP. Conclusion:Mother’s age,parity,gestation age and neonate’s age is important factors to influence the clinical treatment effect. Great age and many parity mother’s neonate,earlier period and large for date infant are more possible to VAD during sick period,and are more slow to recover. So they need the nutritional intervention all the better.
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Objective: To analyze the effect of different treating factors on cure depths of light curing composite resin, and discuss the relationship between different treating factors and cure depths. Methods:192 samples were designed with factorial experiment. The whole samples were scanned by Planmeca ProMax panoramic X-ray unit and cure depths were measured. The data was statistically analyzed by SPSS 11.5 software package for t test and stepwise regression analysis. Results:There were significant differences among different light curing units, irradiation distances and cure time(P
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AIM: To optimize the extraction process for coumarins in Angelica Dahurica by supercritical CO 2 as guided by the contents of oxyimperatorin, imperatorin and the total coumarins in the extract. METHODS: HPLC was applied to determine the contents of oxyimperatorin and imperatorin. orthogonal design was applied to optimize SFE process. Range and variance analysis as well as stepwise nonlinear regression analysis were applied to deal with experimental results. RESULTS: The optimum process was established as following: 21MPa as extracting pressure, 50℃ as extracting temperature, 3.5h as extracting time, 20 mesh as pulverized degree and 6.5MPa as separating pressure. The relative error between experimental data and calculated value was less than 5%. CONCLUSION: Changes in extracting pressure, temperature, time, pulverized degree would affect the extracting results remarkably. Some factors had interactions on the extraction of coumarins in Angelica Dahurica . Regression equation was reasonable and could forecast results precisely.
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Objective To build a regression equation which can indicate the relationship between pH value of Chinese youth' arterial blood and geographical factors in China.Methods We collected pH value of young and geographical factors in China,and studied the relationship between them.Results We worked out a regression equation which could indicate the relationship between the pH value of Chinese youth' arterial blood and the geographical indicators.Conclusion If knowing the geographical indicators of each area in China,we can estimate the pH reference value of young people's arterial blood by using the equation.