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Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1059-1066, 2021 Sep 06.
Article in Chinese | MEDLINE | ID: covidwho-1463875


Objective: To study the characteristics and risk factors of psychological and behavioral problems of children and adolescents of different ages and genders in long-term home-schooling during the coronavirus disease-2019 pandemic. Further, to provide scientific basis for more targeted psychological intervention and coping strategies in the future. Methods: A cross-sectional survey using an online questionnaire was conducted on students aged 6-16 years old in five representative cities of North (Beijing), East (Shanghai), West (Chongqing), South (Guangzhou) and Middle (Wuhan) in China. In this study, the social behavior and psychological abnormalities which was defined as the positive of any dimension were investigated in multiple dimensions during long-term home-schooling. The influencing factors of psycho-behavioral problems were analyzed by Logistic regression, and the confounding factors were corrected with graded multivariable adjustment. Results: A total of 6 906 valid questionnaires were collected including 3 592 boys and 3 314 girls, of whom 3 626 were children (6-11 years old) and 3 280 were adolescents (12-16 years old). The positive detection rate of psychosocial-behavioral problems were 13.0% (900/6 906) totally, 9.6% (344/3 592) in boys and 16.8% (556/3 314) in girls respectively, and 7.3%(142/1 946) in boys aged 6-11, 14.0%(235/1 680) in girls aged 6-11, 12.3%(202/1 646) in boys aged 12-16, 19.6%(321/1 634) in girls aged 12-16 respectively. There were significant differences between the psychological problems group and the non-psychological problems group in gender, parent-offspring conflict, number of close friends, family income change, sedentary time, homework time, screen exposure time, physical activity, dietary problems (χ²=78.851, 285.264, 52.839, 26.284, 22.778, 11.024, 10.688, 36.814, 70.982, all P<0.01). The most common symptoms in boys aged 6-11 years were compulsive activity, schizoid and depression, in girls aged 6-11 years were schizoid/compulsive activity, hyperactivity and social withdrawal, in boys aged 12-16 years were hyperactivity, compulsive activity and aggressive behavior, and in girls aged 12-16 years were schizoid, anxiety/compulsive activity and depression/withdrawal, respectively. After graded multivariable adjustment, besides the common risk factors, homework time and online study time were the risk factors of 6-11 years old groups [boys OR(95%CI): 1.750 (1.32-2.32), 1.214(1.00-1.47), girls: 1.579(1.25-1.99), 1.222(1.05-1.42), all P<0.05], videogames time were the risk factors of 12-16 years old groups [ boys: 2.237 (1.60-3.13), girls: 1.272 (1.00-1.61), all P<0.05]. Conclusions: Some children and adolescents may have psychological and behavioral problems during long-term home-schooling. The psychological and behavioral manifestations differed in age and gender subgroups, which deserve special attention in each subgroups. Schools, families and specialists should actively provide precise psychological support and comprehensive intervention strategies according to special features and risk factors.

COVID-19 , Adaptation, Psychological , Adolescent , Child , China , Cross-Sectional Studies , Female , Humans , Male , SARS-CoV-2
Chinese Journal of Biologicals ; 33(12):1409-1413+1420, 2020.
Article in Chinese | Scopus | ID: covidwho-1245222


Objective: To systematically analyze the 670 convalescent plasma (CP) samples from patients with coro-navirus disease 2019 (COVID-19). Methods: The plasma samples were analyzed and evaluated for routine test items including hepatitis B virus surface antigen (HBsAg), hepatitis C virus (HCV) antibody, human immunodeficiency virus (HIV)-l/HI V-2 antibody, Treponema pallidum (TP) and alanine aminotransferase (ALT) as well as blood group, nucleic acid of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), IgG antibody, methylene blue residue and sterility. Results: A total of 121 substandard plasma samples were detected from 670 convalescent plasma samples, of which substandard IgG antibody titer accounted for the highest proportion of 7. 91%. In the turn of proportions, the blood groups were A (32. 52%), B (29. 94%), 0 (28. 886%) and AB (8. 66%). Ml the test results of nucleic acids of SARS-CoV-2 were negative. A total of 485 samples were from Wuhan, of which the highest proportion (21. 95%) were from the donors at ages of > 30 ∼ 35 years, including 264 males and 221 females. Of the high titer plasma, those at titers of not less than 1: 640 accounted for the highest proportion (77. 43%). Most of the IgG titers in plasma of common patients were not less than 1: 640 > 10 - 20 d, while were less than 1: 160 3 ∼ 10 d, after hospitalization. However, 35 plasma samples were negative for IgG antibody (at titers of less than 1: 80), in 9 of which other pathogens were detected. Conclusion: Unqualified IgG titer was the main reason for unqualified CP. The proportion of CP of group O was lower than that of the group in healthy population. The highest proportion of plasma donors in Wuhan was in the populations at ages of > 30 ∼ 35 years, which was higher in males than in females. Satisfactory immune responses were induced in most of patients in convalescence period, which removed the virus in vivo effectively. High antibody titers were induced > 10 ~ 20 d after hospitalization, making the common cases were not easy to change into severe ones. It was speculated that patients negative for IgG antibody might be infected with other pathogens. © 2020 Changchun Institute of Biological Products. All rights reserved.

Clin Microbiol Infect ; 26(9): 1242-1247, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-637775


OBJECTIVES: Since December 2019, the novel coronavirus disease 2019 (COVID-19) that emerged in Wuhan city has spread rapidly around the world. The risk for poor outcome dramatically increases once a patient progresses to the severe or critical stage. The present study aims to investigate the risk factors for disease progression in individuals with mild to moderate COVID-19. METHODS: We conducted a cohort study that included 1007 individuals with mild to moderate COVID-19 from three hospitals in Wuhan. Clinical characteristics and baseline laboratory findings were collected. Patients were followed up for 28 days for observation of disease progression. The end point was the progression to a more severe disease stage. RESULTS: During a follow up of 28 days, 720 patients (71.50%) had recovered or were symptomatically stable, 222 patients (22.05%) had progressed to severe disease, 22 patients (2.18%) had progressed to the critically ill stage and 43 patients (4.27%) had died. Multivariate Cox proportional hazards models identified that increased age (hazard ratio (HR) 2.56, 95% CI 1.97-3.33), male sex (HR 1.79, 95% CI 1.41-2.28), presence of hypertension (HR 1.44, 95% CI 1.11-1.88), diabetes (HR 1.82, 95% CI 1.35-2.44), chronic obstructive pulmonary disease (HR 2.01, 95% CI 1.38-2.93) and coronary artery disease (HR 1.83, 95% CI 1.26-2.66) were risk factors for disease progression. History of smoking was protective against disease progression (HR 0.56, 95% CI 0.34-0.91). Elevated procalcitonin (HR 1.72, 95% CI 1.02-2.90), urea nitrogen (HR 1.72, 95% CI 1.21-2.43), α-hydroxybutyrate dehydrogenase (HR 3.02, 95% CI 1.26-7.21) and D-dimer (HR 2.01, 95% CI 1.12-3.58) at baseline were also associated with risk for disease progression. CONCLUSIONS: This study identified a panel of risk factors for disease progression in individuals with mild to moderate COVID-19.

COVID-19/diagnosis , Disease Progression , Adolescent , Adult , Age Factors , Aged , Blood Urea Nitrogen , COVID-19/physiopathology , Child , Child, Preschool , China , Comorbidity , Coronary Artery Disease , Diabetes Mellitus , Female , Fibrin Fibrinogen Degradation Products/analysis , Humans , Hydroxybutyrate Dehydrogenase/blood , Hypertension , Infant , Infant, Newborn , Male , Middle Aged , Procalcitonin/blood , Proportional Hazards Models , Pulmonary Disease, Chronic Obstructive , Risk Factors , Sex Factors , Smoking , Young Adult