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This study is the first to report BMP prevalence in mainland China. Our results indicate that a simple pre-treatment interview could provide data allowing the dentist to identify children with special dental behavioural needs.

Objective We aimed to investigate the association between the ABO blood groups and the risk of coronary artery disease (CAD) and myocardial infartion (MI) in a young Taiwanese population. Methods We retrospectively recruited 277 consecutive subjects (men younger than 45 years and women younger than 55 years) who underwent coronary angiography (136 with documented CAD and 129 without CAD) at our center, between 2005 and 2008. Their ABO blood groups were determined using standard agglutination techniques. Results Patients with CAD showed a significantly different blood group distribution (O, 30.1%; A, 39.7%; B, 26.5%; AB, 3.7%) than that shown by the controls (O, 42.6%; A, 24.0%; B, 27.1%; AB, 6.2%; p=0.032). Patients with blood group A had a greater risk of CAD and MI than those with non-A blood groups (OR= 2.08, 95% CI=1.23-3.54; OR=2.21, 95% CI=1.19-4.09, respectively). After adjustment for common cardiovascular risk factors such as age, gender, hypertension, cigarette smoking, diabetes mellitus, body mass index, family history of CAD, and lipid profiles; blood group A remained significantly associated with an increased risk of CAD and MI (OR=2.61, 95% CI 1.11-6.14, p=0.028; OR=3.53, 95% CI=1.21-10.29, p= 0.021, respectively). Conclusion Our findings suggest that blood group A is an independent risk factor for CAD and MI in young people in Taiwan.

This study aimed to identify circulating influenza virus strains and vulnerable population groups and investigate the distribution and seasonality of influenza viruses in Ningbo, China. Then, an autoregressive integrated moving average (ARIMA) model for prediction was established. Influenza surveillance data for 2006–2014 were obtained for cases of influenza-like illness (ILI) (n = 129,528) from the municipal Centers for Disease Control and virus surveillance systems of Ningbo, China. The ARIMA model was proposed to predict the expected morbidity cases from January 2015 to December 2015. Of the 13,294 specimens, influenza virus was detected in 1148 (8.64%) samples, including 951 (82.84%) influenza type A and 197 (17.16%) influenza type B viruses; the influenza virus isolation rate was strongly correlated with the rate of ILI during the overall study period (r = 0.20, p < 0.05). The ARIMA (1, 1, 1) (1, 1, 0)12 model could be used to predict the ILI incidence in Ningbo. The seasonal pattern of influenza activity in Ningbo tended to peak during the rainy season and winter. Given those results, the model we established could effectively predict the trend of influenza-related morbidity, providing a methodological basis for future influenza monitoring and control strategies in the study area.