Zoonotic transmissions of emerging pathogens from wildlife to human have shaped the history of mankind. These events have also highlighted our poor understanding of microorganisms circulated in wild animals. Coronaviruses and astroviruses, which can be found from a wide range of mammals, were recently detected in bats. Strikingly, these bat viruses are genetically highly diverse and these interesting findings might help to better understand the evolution and ecology of these viruses. The discoveries of these novel bats viruses not only suggested that bats are important hosts for these virus families, but also reiterated the role of bats as a reservoir of viruses that might pose a zoonotic threat to human health.

INTRODUCTION: This study examined maternal, delivery and infant factors associated with cord thyroid-stimulating hormone (TSH) concentrations in an Asian population. METHODS: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study is a mother-offspring birth cohort from 2 major hospitals in Singapore. Cord serum TSH was measured using the Abbott ARCHITECT TSH Chemiluminescent Microparticle Immunoassay and the ADVIA Centaur TSH-3 Immunoassay. After excluding infants with a maternal history of thyroid disease, screening cord TSH results from 604 infants were available for multivariable regression analysis in relation to the factors of interest. RESULTS: Babies born by vaginal delivery had significantly higher cord serum TSH concentrations than babies born by caesarean section. Cord serum TSH concentrations differed significantly by measurement method. There was no association of cord TSH concentrations with ethnicity, sex, birth weight, gestational age, maternal body mass index, gestational weight gain, gestational diabetes mellitus status and other maternal, delivery and infant factors studied. CONCLUSION Interpretation of cord serum TSH results may need to take into account mode of delivery and measurement method.

Objective: To understand the prevalence and distribution of hypertension in population aged 15 years and over in Guizhou province and provide evidence for the prevention and management of hypertension. Methods: Face to face interviews using national standard questionnaire were conducted among the study subjects selected in Guizhou through multi-stage random sampling. Blood pressure measurement for them was done with Omron HEM-1300 professional portable blood pressure monitor. SPSS 19.0 software was used for statistical analysis. The ratio was compared by the χ(2) test. The influencing factors of hypertension was analyzed by multivariate logistic regression analysis. Results: A total of 13 480 participants were investigated, including 5 509 (40.8%) men and 7 971 (59.2%) women; 6 558 (48.6%) urban residents and 6 922 (51.4%) rural residents. Among the subjects surveyed, 3 232 (23.9%) were smokers, 2 412 (17.9%) were alcoholic and 4 859 (36.0%) were obese or overweight. A total of 3 937 (29.2%) hypertension patients were found. The prevalence of hypertension was 29.2%. The standardized prevalence of hypertension were 18.97% (compared with national population composition) and 21.16% (compared with Guizhou province population composition), respectively. The hypertension prevalence in men and women were 29.8% and 28.8%, respectively. The hypertension prevalence in rural population (35.8%) was higher than that in urban population (22.2%). The difference was statistically significant (P<0.001). The hypertension prevalence in people aged 65 years and over was 56.2%. The prevalence of hypertension were 34.3% and 27.6% in smokers and non-smokers, 39.2% and 27.0% in alcoholic and non-alcoholic and 40.7% and 22.7% in obese or overweight group and normal or less weight group, respectively. There were significant statistical differences in prevalence of hypertension among the population in urban area and rural area, with different age, education levels, smoking status, drinking status and BMI (P<0.001). Conclusions: The prevalence of hypertension in Guizhou was at a high level. The hypertension prevalence in rural area was higher than that in urban area. Hypertension prevalence increased significantly with age. The prevalence of hypertension was negatively associated with the education level of the people. Older age, living in rural area, smoking, drinking, obesity were the risk factors for hypertension.
Adolescent ; Adult ; Aged ; Blood Pressure/physiology* ; Body Weight ; China/epidemiology* ; Female ; Humans ; Hypertension/epidemiology* ; Life Style/ethnology* ; Male ; Middle Aged ; Prevalence ; Risk Factors ; Rural Population ; Surveys and Questionnaires ; Urban Population ; Young Adult

Objective: To investigate the risks of pre-pregnancy overweight, excessive gestational weight gain on macrosomia. Methods: We conducted one hospital-based cohort study, focusing on pregnant women from January 2015. All pregnant women attending to this hospital for maternal check-ups, were included in our cohort and followed to the time of delivery. Data related to general demographic characteristics, pregnancy and health status of those pregnant women, was collected and maternal pre-pregnant BMI and maternal weight gain were calculated. Logistic regression was used to explore the risk difference of pre-pregnancy BMI, excessive gestational weight gain on macrosomia. Results: The overall incidence of macrosomia in our cohort appeared as 6.6% (149/2 243). After adjusting the confounding factors including age and histories on pregnancy, pre-pregnancy overweight/obesity was associated with higher risks of macrosomia (OR=3.12, 95%CI: 1.35-7.22, P=0.008; OR=2.99, 95%CI: 1.17-7.63, P=0.022) when comparing to those with normal pre-pregnancy weight. Cesarean delivery and sex of the offspring were associated with higher risk of macrosomia, while excessive gestational weight gain showed no significant difference (OR=1.41, 95%CI: 0.96-2.09, P=0.084). Our data showed that Macrosomia was statistically associated with gestational weight gain (P=0.002). After controlling parameters as age, history of pregnancy and related complications of the pregnant women, results from the logistic regression showed that women with gestational inadequate weight gain having reduced risks to deliver macrosomia, when compared to those pregnant women with adequate weight gain (OR=0.52, 95%CI: 0.30-0.90, P=0.019). Conclusion: Pre-pregnancy overweight and obesity were on higher risks to macrosomia.
Body Mass Index ; Cesarean Section/statistics & numerical data* ; China/epidemiology* ; Female ; Fetal Macrosomia/epidemiology* ; Humans ; Incidence ; Logistic Models ; Obesity/epidemiology* ; Overweight/epidemiology* ; Pregnancy ; Pregnancy Complications/epidemiology* ; Prospective Studies ; Weight Gain