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1.
J Affect Disord ; 294: 128-136, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1317696

ABSTRACT

BACKGROUND: We aimed to explore the risk profiles attributable to psychosocial and behavioural problems during the coronavirus disease 2019 pandemic. To this end, we created a risk-prediction nomogram model. METHODS: A national multicentre study was conducted through an online questionnaire involving 12,186 children (6-11 years old) and adolescents (12-16 years old). Respondents' psychosocial and behavioural functioning were assessed using the Achenbach Child Behaviour Checklist (CBCL). Data were analysed using STATA software and R-language. RESULTS: The positive detection rate of psychological problems within Wuhan was greater than that outside Wuhan for schizoid (P = 0.005), and depression (P = 0.030) in children, and for somatic complaints (P = 0.048), immaturity (P = 0.023), and delinquent behaviour (P = 0.046) in adolescents. After graded multivariable adjustment, seven factors associated with psychological problems in children and adolescents outside Wuhan were parent-child conflict (odds ratio (OR): 4.94, 95% confidence interval (95% CI): 4.27-5.72), sleep problems (OR: 4.05, 95% CI: 3.77-4.36), online study time (OR: 0.41, 95% CI: 0.37-0.47), physical activity time (OR: 0.510, 95% CI: 0.44-0.59), number of close friends (OR: 0.51, 95% CI: 0.44-0.6), time spent playing videogames (OR: 2.26, 95% CI: 1.90-2.69) and eating disorders (OR: 2.71, 95% CI: 2.35-3.11) (all P < 0.001). Contrastingly, within Wuhan, only the first four factors, namely, parent-child conflict (5.95, 2.82-12.57), sleep problems (4.47, 3.06-6.54), online study time (0.37, 0.22-0.64), and physical activity time (0.42, 0.22-0.80) were identified (all P < 0.01). Accordingly, nomogram models were created with significant attributes and had decent prediction performance with C-indexes over 80%. LIMITATION: A cross-sectional study and self-reported measures. CONCLUSIONS: Besides the four significant risk factors within and outside Wuhan, the three additional factors outside Wuhan deserve special attention. The prediction nomogram models constructed in this study have important clinical and public health implications for psychosocial and behavioural assessment.


Subject(s)
COVID-19 , Problem Behavior , Adolescent , Child , Cross-Sectional Studies , Humans , Nomograms , Pandemics , Risk Factors , SARS-CoV-2
2.
Transl Psychiatry ; 11(1): 342, 2021 06 03.
Article in English | MEDLINE | ID: covidwho-1258580

ABSTRACT

This study aims to explore the psychosocial and behavioral problems of children and adolescents in the early stage of reopening schools. In this national cross-sectional study, a total of 11072 students from China were naturally divided into two groups based on their schooling status: reopened schools (RS) and home schooling (HS) group. The psychosocial and behavioral functioning were measured by Achenbach Child Behaviour Checklist (CBCL) and compared in these two groups. Multivariable logistic regression analyses were conducted to explore the independent predictors associated with the psychosocial and behavioral problems. Our results showed that the students in the RS group had more adverse behaviors than that of HS group. The RS group had the higher rates of parent-offspring conflict, prolonged homework time, increased sedentary time and sleep problems (all p < 0.001). When separate analyses were conducted in boys and girls, the RS group had the higher scores for (1) overall behavioral problems (p = 0.02 and p = 0.01), internalizing (p = 0.02 and p = 0.02) and externalizing (p = 0.02 and p = 0.004) behaviors in the 6-11 age group; (2) externalizing (p = 0.049 and p = 0.006) behaviors in the 12-16 age group. Multivariable regression showed parent-offspring conflict and increased sedentary time were the most common risk factors, while physical activity and number of close friends were protective factors for behavior problems in RS students (p < 0.01 or 0.05). The present study revealed that students' psychosocial and behavioral problems increased in the early stage of schools reopened unexpectedly. These findings suggest that close attention must be paid and holistic strategies employed in the school reopening process of post-COVID-19 period.


Subject(s)
COVID-19 , Problem Behavior , Adolescent , Child , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Pandemics , SARS-CoV-2 , Schools
3.
Anal Chem ; 92(14): 9699-9705, 2020 07 21.
Article in English | MEDLINE | ID: covidwho-342681

ABSTRACT

A novel coronavirus (SARS-CoV-2) was recently identified in patients with acute respiratory disease and spread quickly worldwide. A specific and rapid diagnostic method is important for early identification. The reverse-transcription recombinase-aided amplification (RT-RAA) assay is a rapid detection method for several pathogens. Assays were performed within 5-15 min as a one-step single tube reaction at 39 °C. In this study, we established two RT-RAA assays for the S and orf1ab gene of SARS-CoV-2 using clinical specimens for validation. The analytical sensitivity of the RT-RAA assay was 10 copies for the S and one copy for the orf1ab gene per reaction. Cross-reactions were not observed with any of the other respiratory pathogens. A 100% agreement between the RT-RAA and real-time PCR assays was accomplished after testing 120 respiratory specimens. These results demonstrate that the proposed RT-RAA assay will be beneficial as it is a faster, more sensitive, and more specific tool for the detection of SARS-CoV-2.


Subject(s)
Betacoronavirus/chemistry , Betacoronavirus/genetics , Coronavirus Infections/diagnosis , Nucleic Acid Amplification Techniques/methods , Pneumonia, Viral/diagnosis , Polymerase Chain Reaction/methods , Bacteria/chemistry , Bacteria/genetics , COVID-19 , Cross Reactions , DNA Probes , Genes, Viral , Humans , Pandemics , Plasmids , Polyproteins , Respiratory Tract Infections/microbiology , Respiratory Tract Infections/virology , SARS-CoV-2 , Sensitivity and Specificity , Viral Proteins/genetics , Viruses/chemistry , Viruses/genetics
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