Objective:To evaluate the reliability and validity of the Chinese version of Pittsburgh sleep quality index (PSQI)among the medical students.Methods:A total of 603 undergraduate students were selected from a medical school in Beijing using a stratified-cluster random-sampling strategy,who were assessed by using the Chinese version of PSQI.Then 1 71 subjects were randomly selected to retest about 1 month later,using a variety of psychometric properties to evaluate reliability and validity of the scale. Results:The average of global PSQI scores was 5.38 ±2.34,the overall Cronbach’s αcoefficient of all the scale items was 0.734,the half-split reliability coefficient was 0.655;the test-retest correlation coef-ficient was 0.530 for global PSQI score,and there was no statistically significant difference before and af-ter (P >0.05).As for the construct validity,confirmatory factor analysis results indicated that the two factor model (containing sleep efficiency factor and sleep quality factor)was the optimal model (good-ness-of-fit index 0.949,root of the mean square residual 0.083,comparative fit index 0.699),and the factor loading for “hypnotic drug use”was the lowest.Using subjective sleep quality of the students as the criteria,the global PSQI score was statistically different between the criteria-based groups (P <0.001 ).And the area under the receiver operating characteristics (ROC)curve which was plotted using the global score of PSQI was 0.908 (95%CI:0.880 -0.936).Conclusion:The Chinese version of PSQI has been verified,having good reliability and validity among the medical students,and is an effec-tive tool to investigate and screen the sleep quality of medical students in China.

OBJECTIVETo investigate the sleep quality and related factors among medical students in China, understand the association between dormitory environment and sleep quality, and provide evidence and recommendations for sleep hygiene intervention.

METHODSA total of 555 undergraduate students were selected from a medical school of an university in Beijing through stratified-cluster random-sampling to conduct a questionnaire survey by using Chinese version of Pittsburgh Sleep Quality Index (PSQI) and self-designed questionnaire. Analyses were performed by using multiple logistic regression model as well as multilevel linear regression model.

RESULTSThe prevalence of sleep disorder was 29.1%(149/512), and 39.1%(200/512) of the students reported that the sleep quality was influenced by dormitory environment. PSQI score was negatively correlated with self-reported rating of dormitory environment (γs=-0.310, P<0.001). Logistic regression analysis showed the related factors of sleep disorder included grade, sleep regularity, self-rated health status, pressures of school work and employment, as well as dormitory environment. RESULTS of multilevel regression analysis also indicated that perception on dormitory environment (individual level) was associated with sleep quality with the dormitory level random effects under control (b=-0.619, P<0.001).

CONCLUSIONSThe prevalence of sleep disorder was high in medical students, which was associated with multiple factors. Dormitory environment should be taken into consideration when the interventions are taken to improve the sleep quality of students.

Beijing ; epidemiology ; Housing ; Humans ; Logistic Models ; Prevalence ; Risk Factors ; Schools, Medical ; Self Report ; Sleep Wake Disorders ; epidemiology ; Social Environment ; Students, Medical ; psychology ; statistics & numerical data

Against tumor-dependent metabolic vulnerability is an attractive strategy for tumor-targeted therapy.However,metabolic inhibitors are limited by the drug resistance of cancerous cells due to their metabolic plasticity and heterogeneity.Herein,choline metabolism was discovered by spatially resolved metab-olomics analysis as metabolic vulnerability which is highly active in different cancer types,and a choline-modified strategy for small molecule-drug conjugates(SMDCs)design was developed to fool tumor cells into indiscriminately taking in choline-modified chemotherapy drugs for targeted cancer therapy,instead of directly inhibiting choline metabolism.As a proof-of-concept,choline-modified SMDCs were designed,screened,and investigated for their druggability in vitro and in vivo.This strategy improved tumor targeting,preserved tumor inhibition and reduced toxicity of paclitaxel,through targeted drug delivery to tumor by highly expressed choline transporters,and site-specific release by carboxylesterase.This study expands the strategy of targeting metabolic vulnerability and provides new ideas of devel-oping SMDCs for precise cancer therapy.

Objective: To investigate the self-reported prevalence, clinical characteristics, complications of allergic rhinitis (AR) and the sensitization of outdoor air pollen allergens in children in the Inner mongolia grassland region. Methods: A multistage, stratified and random clustered sampling with a face-to-face interview survey study in children from 0 to 17 years old was performed together with 10 common allergen skin prick tests (SPT) and measurements of the daily pollen count in 6 regions in the Inner mongolia grassland region from May to August of 2015. SAS 9.4 software was used for data analysis. Results: A total of 2 443 subjects completed the study. The self-reported prevalence of AR was 26.6%. The prevalence of boys was higher than that of girls (28.8% vs 24.3%, χ²=6.157, P<0.05). Subjects from urban areas showed higher prevalence than rural areas (34.7% vs 18.8%, χ²=79.107, P<0.05). There was significant regional difference in the prevalence of AR among the six areas investigated (χ²=221.416, P<0.05). The main clinical symptoms of AR were sneezing (88.2%) and nasal congestion (78.6%). Among combined diseases, asthma accounted for 16.5% (107/650), rhinoconjunctivitis accounted for 47.9% (311/650). The peak season of AR was April and July, with the top SPT positive allergens of Artemisia species and chenopodium in this area. Conclusions The prevalence AR in children in the Inner mongolia grassland region is extremely high. Sneezing is the main clinical symptom. Rhinoconjunctivitis is the most common combined disease. High summer and autumn pollen exposure is the main cause of AR.