Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

Objective To investigate the effect of triglyceride-glucose index(TyG)on the short-term prognosis of patients with initial acute ischemic stroke.Methods A total of 391 patients with initial acute ischemic stroke who were hospitalized in Kunshan Second People's Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University from Jun.2020 to Jun.2023 were retrospectively included.According to the modified Rankin scale(mRS)scores at 90 d follow-up,they were assigned to good prognosis group(286 cases)or poor prognosis group(105 cases).Logistic regression and receiver operating characteristic(ROC)curve were used to evaluate the effect of TyG on the short-term prognosis of patients with initial acute ischemic stroke.Results Compared with the good prognosis group,the patients of poor prognosis group had older age,higher proportion of atrial fibrillation,higher levels of homocysteine,triglyceride,total cholesterol,low-density lipoprotein,and TyG,and higher National Institutes of Health stroke scale(NIHSS)score(all P＜0.05).Multivariate logistic regression analysis showed that age,homocysteine,TyG and NIHSS score were independent risk factors for poor prognosis in patients with initial acute ischemic stroke(all P＜0.05).ROC curve analysis showed that TyG combined with NIHSS score had good predictive value for poor prognosis of patients with initial acute ischemic stroke,and the area under curve value was 0.795.Conclusion The combination of TyG and NIHSS score is an independent influencing factor for poor short-term prognosis in patients with initial acute ischemic stroke.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

Objective:The Chinese pediatric mesh-type reference phantoms were developed and applied in the dose assessment of X-ray radiography.Methods:The 5- and 10-year-old Chinese pediatric mesh-type reference phantoms were developed based on the CT data. Based on the phantoms, the Monte Carlo method was applied to simulate the X-ray radiography to calculate the organ dose conversion coefficient and the effective dose conversion coefficient in different radiography conditions.Results:The 5- and 10-year-old Chinese pediatric mesh-type reference phantoms were developed, and the physical parameters were consistent with the national standard. The differences of the organ mass between the established phantoms and reference data were within 2%. The database of the pediatric chest posteroanterior projection and abdominal anteroposterior projection, tube voltage 60-90 kVp, total filtration 2.5~4 mmAl were simulated, and the difference between the effective dose conversion factor and the literature result was within 3%.Conclusions:The established Chinese pediatric mesh-type reference phantoms can be applied in the studies of radiation protection and clinical medicine and their result can provide an important reference for the dose assessment of the pediatric X-ray radiography.

Objective To simulate and analyze the CT examination doses to typical patients based on Chinese reference human phantom, and to develop an online software for assessing the organ absorbed dose and effective dose to the examinees undergoing CT examination in order to provide a tool for rapid assessment of radiation dose from CT examination. Methods Based on the Monte Carlo simulation, a GE LightSpeed 16 CT scanner was modeled. The organ doses to Chinese adult male, female and 1 year-old child male from single axial scan were calculated based on the Chinese reference phantoms and an organ dose database was established. A web-based CT dose assessment software was developed to read the data from the organ dose database according to the CT scanning parameters entered by the user and to calculate the organ absorbed dose and effective dose rapidly. Results A new CT dose assessment software was developed, which can be used to assess organ doses to Chinese adult male, female and 1-year-old male for different CT scanner, voltage, current, collimator width and other CT parameters. The organ doses calculated in this work were compared with simulation data in two relevant studies. Dose differences for the organs completely included in the scan range were small, with relative differences less than 15％ and 25％, respectively. Conclusions The CT dose assessment software provides a powerful tool for the simple and rapid assessment of radiation dose to the examinees undergoing CT examinations.