Objective To explore the prevalence and epidemic characteristics of overweight, obesity, and central obesity in Shanghai Pudong New Area. Methods Multi-stage stratified random sampling method was conducted in Pudong New Area in 2013. Residents over 15 years old were randomly selected from 13 communities and participated in the cross-sectional study. A structured questionnaire was used to collect the information and physical examination, biochemical assays were also conducted. SPSS 20. 0 was used to analyze the results. Results The averagebodymassindexofparticipantswas(25.04±3.79)kg/m2andtheaveragewaistcircumferencewas(82.44± 9. 51) cm. The prevalences of overweight, obesity, and central obesity were 41. 67%, 17. 70%, and 31. 32%respectively. Standardized prevalences of overweight, obesity, and central obesity were 34. 39%, 16. 96%, and 25. 66% respectively, according to 2010 national age composition of population. Statistically significant sex differences were found among the prevalence of overweight, obesity, and central obesity groups(all P<0. 05). The prevalence of central obesity in female was raised by increasing age. Residents with hypertension, hyperglycemia, dyslipidemia, and metabolic disorders had higher prevalences in overweight, obesity, and central obesity ( all P<0. 05). Conclusion The prevalences of overweight, obesity, and central obesity among the residents in Shanghai Pudong New Area were relatively high. Relevant risk factors should be explored to promote health education that may enhance people′s awareness of weight management.

Objective To characterize the temporal dynamics of endophytic community and key metabolites during the growth developmental stages of Artemisia indica and to explore the effects of endophytes on the medicinal material quality of A.indica from the perspective of microorganism combined with the correlation analysis.Methods In this study,high-throughput sequencing was performed to obtain the temporal dynamics of diversity and composition of endophytic community during the growth stages of A.indica.Key metabolites quantitative analysis were performed using high-performance liquid chromatography and ultraviolet spectrophotometry.Spearman's correlation analysis was further conducted to identify the endophytic communities that were significantly correlated with metabolites.Results There were significant differences in the diversity and composition of endophytic communities during the growth stages of A.indica.Linear discriminant analysis efect size(LEfSe)analyses identified some potential microbial biomarkers,such as Firmicutes,Massilia,Pantoea,Alternaria,Didymella,and Trichomerium.The abundances of some genera were significantly and positively correlated with the content of total polyphenols and total flavonoids(P<0.05),such as Curtobacterium,Pantoea,Tilletiopsis,and Dissoconium.The abundances of Pseudozyma,Ralstonia,and Pleospora were significantly and positively correlated with Chlorogenic acid,Isochlorogenic acid B,Isochlorogenic acid A,and Isochlorogenic acid C(P<0.05).Conclusion This work described the distribution of endophytes and key metabolites during the development stages of A.indica.Some endophytic communities with significant correlation of key metabolites were identified,which provided valuable information to guide the isolation of endophytic strains related to key metabolites and improve the quality of A.indica.