RESUMO
Objective@#To explore the correlation between screen time, exposure time to different screens and psychology behaviors of preschool children.@*Methods@#A total of 2 582 children from kindergartens in urban Xuzhou areas were recruited to perform the physical examination, a cluster sampling method being explored. Parent questionnaires were performed to understand the time of screens and children’s psychology behaviors. Multi-linear regression and Logistic regression models were also used to analyze the correlation between them in preschool children.@*Results@#The prevalence of abnormal internalization behavior of preschool children in Xuzhou City was 3.8%, the detection rate of abnormal externalization behavior was 22.4%, and the detection rate of prosocial behavior abnormality was 20.9%. The time spent by the preschool boys on TV time, learning day screen time and one-week video time is significantly higher than the girls (P<0.05). After adjusting for age and gender, the results of multiple linear regression analysis showed that the longer the average screen time, the more serious the problem of internalizing and externalizing problems; and the longer the average screen time of the weekend and the week, the worse the prosocial behavior of children (P<0.05). After correcting multiple covariates, it was found that the average screen time was positively correlated with children’s internal and external behavioral problems (P<0.05). Logistic regression analysis showed that after adjusting for age and gender, the average screen time of study day, weekend and week was a risk factor for preschool children’s internal and external behavior problems, and the average weekly screen time was a protective factor for prosocial behavior (P<0.05). After adjusting for multiple covariates, the learning day and the average weekly screen time were risk factors for children’s internal and external behavior (P<0.05). In addition, the results of association analysis between different types of video time exposure and psychological behavior showed that after adjusting for age and gender, all types of video exposures affected the internal and external behaviors of patients (P<0.05); after correcting multiple covariates The association was still statistically significant (P<0.05). Logistic regression analysis showed that after adjusting for age and gender, the exposure time of each type of video screen was a risk factor for children’s internal and external behavior problems (P<0.05). After correcting multiple covariates, all types of video exposure were internalized behavior problems. The risk factors, and the video time of other electronic products were risk factors for externalization behavior problems (P<0.05).@*Conclusion@#Average screen time has a significant positive correlation with psychological behavior, and the exposure time of screens such as TV and mobile phone could increase the incidence of psychological behaviors in preschool children.
RESUMO
OBJECTIVE: An elevated red cell distribution width has been recognized as a predictor of various cardiovascular diseases. Slow coronary flow syndrome is an important angiographic clinical entity with an unknown etiology. This study aimed to examine the relationship between red cell distribution width and the presence of slow coronary flow syndrome. METHODS: In total, 185 patients with slow coronary flow syndrome and 183 age- and gender-matched subjects with normal coronary flow (controls) were prospectively enrolled in this study. Red cell distribution width and C-reactive protein were measured upon admission, and the results were compared between the patients with slow coronary flow syndrome and normal controls. RESULTS: Red cell distribution width levels were significantly higher in the patients with slow coronary flow syndrome than the normal controls. Moreover, the data showed that the plasma C-reactive protein levels were also higher in the patients with slow coronary flow syndrome than in the normal controls. In addition, a multivariate analysis indicated that C-reactive protein and red cell distribution width were the independent variables most strongly associated with slow coronary flow syndrome. Finally, the red cell distribution width was positively correlated with C-reactive protein and mean thrombosis in the myocardial infarction frame counts of the patients with slow coronary flow syndrome. CONCLUSION: The data demonstrated that red cell distribution width levels are significantly higher and strongly positively correlated with both C-reactive protein and thrombosis in the myocardial infarction frame counts of patients with slow coronary flow syndrome. These findings suggest that red cell distribution width may be a useful marker for patients with slow coronary flow syndrome. .