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Objective@#The aim of the study was to investigate the association of outdoor physical activity and insomnia symptoms with depressive symptoms in college students, so as to provide a theoretical basis for preventing and improving depression of the college students.@*Methods@#A sample survey of 9 349 college students from 4 colleges and universities in 3 provinces in Hubei, Jiangxi and Chongqing were conducted from November to December 2021. The Patient Health Questionnaire, Insomnia Severity Index and outdoor physical activity questionnaire were used to evaluate the depressive symptoms, insomnia symptoms and outdoor activities of college students, respectively. The χ 2 test was used to compare the difference of the positive rate of depressive symptoms in college students. Logistic regression analysis was used to analyze the association between outdoor physical activity, insomnia symptoms and depressive symptoms. Generalized linear model was used to analyze the association of interaction effect of outdoor activity and insomnia symptoms with depressive symptoms.@*Results@#The detection rate of depressive symptoms in college students was 37.4%. Significant differences in the detection rate of depressive symptoms were observed among college students with different majors, nationalities,educational backgrounds, family residence, family type, family economic conditions, study burden, number of friends, father s education level,mother s education level( P <0.05). Logistic regression analysis showed that outdoor physical activity ( OR=0.51-0.69, P <0.01) and insomnia symptoms ( OR=6.15-21.30, P <0.01) were associated with depressive symptoms( P <0.01). Generalized linear model showed that insomnia symptoms( B =0.57), outdoor physical activity ( B =-0.15) and their interaction terms ( B =-0.02) were associated with college students depression( P <0.05).@*Conclusion@#This study suggests that insufficient time for outdoor physical activity and insomnia symptoms may increase the risk of depressive symptoms in college students. College students with insufficient time for outdoor physical activity and insomnia have a higher risk of developing depressive symptoms.
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Objective:To explore the value of 5G robotic remote ultrasound in the diagnosis of plateau pulmonary edema(HAPE).Methods:A total of 27 patients who quickly entered Nagqu, Tibet at an altitude of 4 600 m-5 600 m from March to December 2021 and developed one of the clinical symptoms of HAPE were collected. All patients were examined by 5G remote robotic ultrasound and lung CT respectively. Kappa test was used to analyze the consistency of the two diagnostic results, and McNemar test was used to compare the difference in diagnostic results. The ROC curve was used to analyze the sensitivity and specificity of remote lung ultrasound scores in the diagnosis of HAPE.Results:Among the 27 patients, 16 showed thickening of pleural line, increasing of B line, lung consolidation, pleural effusion, etc. Meanwhile, 11 showed no abnormality. Additionally, 8 cases had diffuse pulmonary fluid in both lungs, and 8 cases had localized pulmonary fluid. ROC curve showed that the area under the curve of lung ultrasound score for the diagnosis of HAPE was 0.947 (95% CI=0.78-0.99, P<0.001). The sensitivity and specificity were 0.933 and 0.917, respectively. Lung CT diagnosis was positive in 15 cases. Lung CT showed thickening of lung texture, ground glass, small nodular shadow, fine reticulate shadow, etc. The diagnostic results of the two techniques were in good agreement (Kappa=0.924, P<0.001), and there was no significant difference between the two methods ( P>0.05). Conclusions:5G remote robotic ultrasound has high consistency with CT in the diagnosis of HAPE and is an alternative early diagnosis method for HAPE. It may have clinical application value in scattered medical resources and remote plateau areas.
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A near infrared spectroscopy ( NIRS) method was used for rapid quality evaluation of ferulic acid content in chrysanthemum morifolium cv. ( Chuju) continuous cropping soil. Standard leverage, studentized residual and Mahalanobis distance were calculated to eliminate abnormal samples. After the initial near infrared spectrum was treated by two second derivative and Norris smoothing filter noise, 6000-4000 cm-1 wave number range and 7 factors were chosen for partial least squares ( PLS) calibration model. The results showed that good correlation was presented between the calibration set/validation set and the values determined by high performance liquid chromatography, and the calibration correlation coefficient ( Rc ) and validation correlation coefficient ( Rcv ) were 0. 9914 and 0. 9935, respectively. Root mean square error of calibration (RMSEC), root mean square error of validation (RMSEP) and root mean square error of cross-validation (RMSECV) were 0. 484, 0. 539 and 0. 615, respectively. This method was accurate, reliable, simple, rapid and nondestructive, and could be applied to the fast analysis for ferulic acid in continuous cropping soil.