ABSTRACT
OBJECTIVE@#To analyze and summarize ABO and Rh(D) blood group distribution and related indicators of COVID-19 patients, and understand the relationship between blood group and disease course of COVID-19 patients in Xinjiang.@*METHODS@#A total of 831 patients with confirmed or asymptomatic COVID-19 infection treated in People's Hospital of Xinjiang Uygur Autonomous Region from July 2020 to August 2020 were enrolled as study group, and 2 778 healthy people in a third Grade A hospital in the region during the same period were selected as control group. ABO and Rh(D) blood group antigens were identified, and relevant medical data were collected for statistical analysis.@*RESULTS@#The proportion of O-type population and Rh(D) positive population in the study group was 24.79% and 96.27%, which were lower than those in the normal control group (29.73% and 97.73%) (P<0.05). The proportion of AB type and Rh(D) negative population was 14.20% and 3.73%, which was higher than that in control group (10.62% and 2.27%) (P<0.05). The proportion of female patients in Type O group was lower than that in control group. The proportion of female patients in AB group was higher than that in control group (P<0.01), while the proportion of type O patients in the age group less than or equal to 45 years old and greater than 60 years old was lower. Different blood groups of Uygur population showed their own characteristics in different sex, but there was no statistical significance due to the limited sample (P>0.05). Moreover, the course of disease and clinical diagnosis of COVID-19 patients were different among different blood groups (P<0.05).@*CONCLUSION@#This study found that the blood type distribution of COVID-19 patients in Xinjiang has its own characteristics, and the blood type is related to the course and clinical diagnosis of COVID-19. In the future, the data can be widely included in people from different ethnic groups and different regions to improve relevant studies.
Subject(s)
Female , Humans , Middle Aged , ABO Blood-Group System , COVID-19 , Ethnicity , SARS-CoV-2ABSTRACT
We assessed the prevalence of non- communicable diseases (NCDs) risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising a regionally representative sample of 806 healthy adults aged 35 years or older, were obtained to determine the prevalence of five risk factors for NCDs. The prevalence of current smoking, central obesity, impaired fasting glucose, borderline hypertension, and borderline high total cholesterol was 19.97%, 28.29%, 4.47%, 10.55%, and 36.10%, respectively. A total 63.77% of participants had at least one risk factor. Upon examination of risk factor clustering, we observed that 7.57% of participants had at least three risk factors. Using this threshold as a cutoff, clustering of risk factors was associated with sex [odds ratio (OR) = 3.336, 95% confidence interval (CI): 1.782 to 6.246], physical activity (OR = 1.913, 95% CI: 1.009 to 3.628), and BMI (OR = 7.376, 95% CI: 3.812 to 14.270). The prevalence of risk factors for NCDs is fairly high among healthy adults in Shenzhen, with a clustering tendency.