Objective To understand the basic information and differences in the AIDS-related knowledge ,attitude ,behavior and knowledge acquisition between the medical students and the non-medical students to provide the related basis for formulating the ra-tional health education strategy in the colleges and universities .Methods The questionnaires of the AIDS-related knowledge ,atti-tude ,behavior and knowledge acquisition were used to perform the survey on 440 college students including 220 medical students and 220 non-medical students .The SPSS19 .0 software was adopted to analyze the survey results .Results The statistical differ-ences existed between the the medical students and the non-medical students in the average scores of the AIDS-related knowledge and attitude questionnaires(P<0 .05) .The propability of premarital sexual behavior was 3 .96% in the medical stedents and 7 .62%in the non-medical students .The main routes for obtaining the AIDS knowledge in the medical students and the non-medical students were newspapers ,magazines ,televisions and movies .The most popular routes were televisions and movies .Conclusion Colleges and universities should team up with families for conducting the AIDS education through the way that the college and uni-versity students really enjoy ,especially for the non-medical students on the non-transmission route knowledge ,the attitude towards the patients/infected individuals with AIDS and the prevention knowledge .

The brain-gut axis is an important pathway for the interaction between the central nervous system and the gastrointestinal tract. Ischemic stroke can promote the imbalance and displacement of intestinal flora, and the intestinal flora and its metabolites in turn can affect the occurrence, development and outcome of ischemic stroke. This article reviews the related literature on ischemic stroke and intestinal flora, in order to review the relationship between the two and related mechanisms, and to prospect the stroke treatment of targeting intestinal flora.

Objective To investigate the relationship between osteoprotegerin ( OPG ) gene polymorphisms and susceptibility to large-artery atherosclerotic stroke ( LAA ). Methods A total of 1 010 patients with LAA registered in Nanjing Stroke Registry Program between August 2013 and May 2017 were retrieved, and 1 121 healthy residents were selected as controls. Two single nucleotide polymorphisms of rs2073617 and rs3134069 of OPG gene were genotyped by SNPscan technique. Multivariate logistic regression analysis was used to analyze the relationship between rs2073617/rs3134069 and susceptibility to LAA. Results Multivariate logistic regression analysis indicated that the rs3134069 C allele (odds ratio [OR] 1.39, 95%confidence interval [CI] 1.13-1.71; P=0.002) and its corresponding CC/CA genotype (OR 1.43, 95% CI 1.14-1.80; P=0.002) were the independent risk factors for LAA. Stratification analysis showed that this association was more pronounced in the subgroups of olderly (≥60 years), those with hypertension, smoking or without diabetes and hyperlipidemia. In addition, haplotype analysis showed that G-C haplotype of rs2073617/rs3134069 was also an independent risk factor for LAA onset (OR 1.36, 95% CI 1.10-1.68; P=0.005). Conclusion OPG gene polymorphisms are associated with the susceptibility to LAA.

Objective To study the changes of intracellular calcium ion concentration in pulmonary artery smooth muscle cells (PASMCs) of hypoxic-induced persistent pulmonary hypertension (PPH) induced by calcium-sensitive receptor (CaSR) in a newborn mouse model.Method Ninety-six newbom C57BL/6 mice were randomly divided into control group,PPH group,PPH + agonist group and PPH + inhibitor group,with 24 mice in each group.The PPH model was induced by 12％ oxygen for 14 days.In the beginning,intraperitoneal injection of CaSR agonist (GdCl3) and CaSR inhibitor (NPS2390) were performed to mice in PPH + agonist group and PPH + inhibitor group respectively daily.After 14 days of modeling,pulmonary artery smooth muscle cells (PASMCs) of all four groups were cultured in vitro.Changes of Ca2+ fluorescence intensity in PASMCs of the four groups were detected by laser confocal microscope continuously.Result The ratio of pulmonary small vascular wall thickness to the vascular diameter and right ventricle/left ventricular thickness in PPH group were greater than those in the control group [(21.1％ ±1.8％) vs.(27.0％ ±0.9％),(0.62 ±0.22) vs.(0.83±0.45)],the differences were statistically significant (P ＜ 0.05),which imply that PPH mouse model was constructed successfully.The average Ca2+ fluorescence intensity in PASMCs of control group,PPH group,PPH + agonist group and PPH+ antagonist group were 122.5 ± 3.0,2 058.8 ±46.3,2 286.6 ±51.4 and 1 134.8 ± 8.5,respectively.The average Ca2+ fluorescence intensity in PASMCs of the PPH group,PPH + agonist group and PPH + antagonist group was higher than that of the control group respectively,the average Ca2+ fluorescence intensity in PASMCs of PPH group was higher than that of PPH + antagonist group,the differences were statistically significant (P ＜ 0.05).Whereas the difference of average Ca2 + fluorescence intensity in PASMCs of PPH group and PPH + agonist group was of no statistical significance (P ＞ 0.05).Conclusion CaSR may be involved in the occurrence and development of hypoxic-induced PPH in neonatal mice by affecting the intracellular Ca2+ concentration in pulmonary artery smooth muscle cells.

Objective To find out the differences in regional characteristics of heat vulnerability between people living in urban centers and urban-fringe areas of Jinan city so as to provide basis for the development of adaptation measures to heat. Methods A cross-sectional survey on heat vulnerability was conducted in urban center and urban-fringe areas of Jinan city,using a self-designed questionnaire among 801 residents at the age of 16 years or older in August 2013. Data of 23 indicators related to heat vulnerability were collected and aggregated to 7 dimensions:health and medical insurance,social networks,heat perception and adaptive behavior,economic status,resources, living environment and working environment. An index score was calculated using a balanced weighted average approach for each dimension,ranging from 0 to 1,with the closer to 1 as greater vulnerability. Results The scores on heat perception and adaptive behavior,economic status, resources and working environment dimensions for urban-fringe areas were 0.42,0.63,0.55 and 0.62, statistically significantly higher than the urban center area of 0.41,0.51,0.26 and 0.41. Scores of living environment,social networks and health/medical insurance dimensions for urban center area were 0.57,0.49 and 0.31,which were all higher than the urban-fringe areas of 0.50,0.46 and 0.25, with differences statistically significant. Conclusion Residents living in the urban center might be more vulnerable to heat in terms of living environment,health/medical insurance and social networks while residents living in the urban-fringe areas might more be vulnerable in terms of heat perception and adaptive behavior,economic status,life resources and working environment. These facts indicated that heat vulnerability among residents could be quite different,even at a fine geographic sale. We would thus suggest that intervention strategies on protecting people from heat,should be more targeted.

Objective:The study aimed to investigate the association between lesion location and post-stroke depression (PSD) in acute ischemic stroke patients.Methods:In this case-control study, acute ischemic stroke patients were recruited from the Department of Neurology, First Affiliated Hospital of the University of Science and Technology of China (USTC), between September 2020 and June 2021. According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria, the patients were divided into the PSD and non-PSD groups. The 24-item Hamilton Rating Scale (HAMD) was used to evaluate the severity of depression. The Student′s t-test, Mann-Whitney test, and Chi-square test were used to compare the clinical baseline characteristics of PSD and non-PSD groups. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and depression occurrence and severity. Results:A total of 70 and 173 patients were admitted to the PSD and non-PSD groups, respectively. The mean age of patients was 59 years (23-86). There were 153 males and 90 females. Univariate analysis showed a significant difference only in Hamilton Anxiety ( P=0.025) and Depression ( P<0.001) scores between the PSD and non-PSD groups. VLSM analysis identified clusters within the anterior cingulate gyrus ( Z=-3.05, P<0.001), left hippocampus ( Z=-3.15, P<0.001), and left lingual lobe ( Z=-3.08, P<0.001) where lesions were significantly associated with PSD. Additionally, the severity of PSD was associated with damage in the anterior cingulate gyrus ( Z=-3.64, P<0.001), left hippocampus ( Z=-3.51, P<0.001), left lingual lobe ( Z=-4.18, P<0.001), and pericalcarine cortex ( Z=-3.65, P<0.001). Conclusion:VLSM demonstrated that lesion location could be used to predict the occurrence of PSD in patients with acute ischemic stroke.

OBJECTIVETo find out the differences in regional characteristics of heat vulnerability between people living in urban centers and urban-fringe areas of Jinan city so as to provide basis for the development of adaptation measures to heat.

METHODSA cross-sectional survey on heat vulnerability was conducted in urban center and urban-fringe areas of Jinan city, using a self-designed questionnaire among 801 residents at the age of 16 years or older in August 2013. Data of 23 indicators related to heat vulnerability were collected and aggregated to 7 dimensions:health and medical insurance, social networks, heat perception and adaptive behavior, economic status, resources, living environment and working environment. An index score was calculated using a balanced weighted average approach for each dimension, ranging from 0 to 1, with the closer to 1 as greater vulnerability.

RESULTSThe scores on heat perception and adaptive behavior, economic status, resources and working environment dimensions for urban-fringe areas were 0.42,0.63,0.55 and 0.62, statistically significantly higher than the urban center area of 0.41,0.51,0.26 and 0.41. Scores of living environment, social networks and health/medical insurance dimensions for urban center area were 0.57,0.49 and 0.31, which were all higher than the urban-fringe areas of 0.50,0.46 and 0.25, with differences statistically significant.

CONCLUSIONResidents living in the urban center might be more vulnerable to heat in terms of living environment, health/medical insurance and social networks while residents living in the urban-fringe areas might more be vulnerable in terms of heat perception and adaptive behavior, economic status, life resources and working environment. These facts indicated that heat vulnerability among residents could be quite different, even at a fine geographic sale. We would thus suggest that intervention strategies on protecting people from heat, should be more targeted.

Adolescent ; Adult ; Aged ; China ; Cross-Sectional Studies ; Female ; Health Status ; Hot Temperature ; Humans ; Male ; Middle Aged ; Surveys and Questionnaires ; Urban Population ; statistics & numerical data ; Young Adult

Objective To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. Methods Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. Results A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). Conclusions Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.