3% in view of health-related skill subscale. In addition, older age (P = .001), male (P  less then  .001), decreased education level (P  less then  .001), lower annual household income (P  less then  .001), and location at rural area (P  less then  .001) associated with increased risk of low health literacy.  https://www.selleckchem.com/products/cytidine-5-triphosphate-disodium-salt.html  Moreover, multivariate logistic regression revealed that male, lower education level, and location at rural area were independent risk factors of low health literacy (all P  less then  .05).The prevalence of low health literacy is high in residents of Anhui province, and male, lower education level, as well as location at rural area are independent risk factors of low health literacy.Paper-based clinical outcome data collection methods have practical limitations when used in clinical settings, as the data are often not summarized in time to facilitate patient-physician communications and therefore cannot be used in clinical decision making. This study aimed to develop a computerized clinical outcome assessment tool (COAT) and evaluate its acceptability, feasibility, and potential clinical applications during clinical encounters for patients with head and neck cancer (HNC).The traditional Chinese (TChi) character version of the Functional Assessment of Cancer Therapy-Head and Neck (FACT-H&N) questionnaire was first transcribed and implemented into a touch-screen computerized administration and reporting system (COAT-HNC for short). Each HNC patient was invited to complete the COAT-HNC during their scheduled clinic visits as part of their clinical care. Upon completion, a structured summary report was generated, and subsequently used for treatment evaluation and planning.A cohort of 385 HNC patients were enrolled. Each scale of the computerized TChi FACT-H&N questionnaire demonstrated acceptable internal consistency, with Cronbach coefficient alpha ranging from 0.74 to 0.90. The touch-screen-based and audio-capable COAT-HNC was reported to be easy to use. Patients and physicians were able to utilize the summary report during their clinical encounters to discuss treatment progress and to plan care.It is practically feasible to design, develop, and implement the COAT-HNC system in routine HNC care. The COAT-HNC has the potential to become a valuable tool for data collection and management of clinical outcomes, and appears useful for HNC patients. However, larger studies to demonstrate its clinical usefulness are still needed.
  The results from previous studies on association between prostaglandin E receptor 4 (PTGER4) polymorphisms and inflammatory bowel disease (IBD) risk in Caucasian were conflict. The present study aimed to investigate the genetic association by conducting a meta-analysis.
 
  Systematic literature search was conducted through Wiley Online Library, Chinese National Knowledge Infrastructure (CNKI), and PubMed databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to investigate the associations between rs4613763 T/C, 17234657T/G polymorphisms, and IBD risk in Caucasian.
 
  Twenty case-control studies consisting of 18,495 Crohn disease (CD) patients and 4203 ulcerative colitis (UC) patients, as well as 26,063 controls were included in this meta-analysis. The rs4613763T/C polymorphism had obvious influence on CD, UC risk in Caucasian. However, rs17234657T/G polymorphism had obvious influence on CD but not UC in Caucasian.
 
  This meta-analysis suggested that both the rs4613763 T/C, rs17234657T/G polymorphisms had obvious influence on risk of CD in Caucasian. In addition, rs4613763 T/C, polymorphism had obvious influence on risk of UC in Caucasian.
 This meta-analysis suggested that both the rs4613763 T/C, rs17234657T/G polymorphisms had obvious influence on risk of CD in Caucasian. In addition, rs4613763 T/C, polymorphism had obvious influence on risk of UC in Caucasian.A wide variety of micropollutants (MP) of diverse origins is present in waste and surface waters without knowing the effect of their combination on ecosystems and human. The impact of chemical mixtures is poorly documented and often limited to binary mixtures using MP of the same category. Knowing that it is not realistic to test every possible combination found in mixtures, we aimed to develop a new method helping to predict cocktail effects. Six chemicals of agriculture, industry or pharmaceutical origin were selected cyproconazole, diuron, terbutryn, bisphenol A, diclofenac and tramadol. Individual MP were first used in vitro to determine the concentration at which 10% (Effective Concentration EC10) or 25% (EC25) of their maximal effect on human cytotoxicity was observed. Using an Orthogonal Array Composite Design (OACD), relevant complex mixtures were then tested. Multiple linear regression was applied for response surface modeling in order to evaluate and visualize the influence of the different MP in mixtures and their potential interactions. The comparison of the predicted values obtained using the response surface model with those obtained with the model of independent effects, evidenced that the hypothesis of independence was unjustified. The cocktail effect was further investigated by considering micropollutant response surfaces pairwise. It was deduced that there was a neutralizing effect between bisphenol A and tramadol. In conclusion, we propose a new method to predict within a complex mixture of MP the combinations likely involved in cocktail effects. The proposed methodology coupling experimental data acquisition and mathematical modeling can be applied to all kind of relevant bioassays using lower concentrations of MP. Situations at high ecological risk and potentially hazardous for humans will then be identified, which will allow to improve legislation and policies.
  To provide estimates of the relative rate of COVID-19 death in people <65 years old versus older individuals in the general population, the absolute risk of COVID-19 death at the population level during the first epidemic wave, and the proportion of COVID-19 deaths in non-elderly people without underlying diseases in epicenters of the pandemic.
 
  Cross-sectional survey of countries and US states with at least 800 COVID-19 deaths as of April 24, 2020 and with information on the number of deaths in people with age <65. Data were available for 14 countries (Belgium, Canada, France, Germany, India, Ireland, Italy, Mexico, Netherlands, Portugal, Spain, Sweden, Switzerland, UK) and 13 US states (California, Connecticut, Florida, Georgia, Illinois, Indiana, Louisiana, Maryland, Massachusetts, Michigan, New Jersey, New York, Pennsylvania). We also examined available data on COVID-19 deaths in people with age <65 and no underlying diseases.
 
  Proportion of COVID-19 deaths in people <65 years old; relative mortality rate of COVID-19 death in people <65 versus ≥65 years old; absolute risk of COVID-19 death in people <65 and in those ≥80 years old in the general population as of June 17, 2020; absolute COVID-19 mortality rate expressed as equivalent of mortality rate from driving a motor vehicle.