ABSTRACT
Objective: To investigate the epidemiological characteristics of human adenovirus (HADV) 2, 3 and 7 in hospitalized children with respiratory infection. Methods: A total of 25 686 children with respiratory infection hospitalized at Children's Hospital of Hebei Province from January 2018 to December 2020 were retrospectively included.Deep sputum or nasopharyngeal aspirates of those children were collected. Then thirteen common respiratory pathogens were detected by multiplex PCR. 510 HADV positive specimens were randomly selected via random number and classified for type 2, 3 and 7 using a multiplex real-time quantitative PCR. SPSS 21.0 software was used to perform all of the statistical analyses. Enumeration data were expressed by frequency and percentage. χ2 test was used for comparison between groups. Results: The HADV-positive rate was 7.99% (2 052/25 686). Children at age 3-<6 years had the highest HADV-positive rate (11.44%). The HADV-positive rate in 2019 was highest (10.64%). Among the 510 HADV-positive specimens, the proportion of type 3 was the highest (31.16%), followed by type 7 (21.37%) and type 2 (11.18%). The rate of type 2 in 2019 was significantly lower than that in 2018 and 2020 (χ2=8.954 and 16.354; P=0.003 and <0.01), while the rate of type 3 was significantly higher than that in 2018 and 2020 (χ2=5.248 and 4.811; P=0.022 and 0.028). The rate of type 2, type 3 and type 7 were lowest in winter, spring and autumn, respectively. The rate of type 2 increased significantly in autumn and the rate of type 3 and type 7 increased significantly in winter.The co-detection rate of HADV with other respiratory pathogens was 43.33%(221/510). Among, the co-detection rate of type 3 was highest (47.32%), and the co-detection rate of type 2, 3 and 7 was significantly higher than the alone detection rate (χ2=20.438, P<0.01; χ2=42.105, P<0.01; χ2=27.573, P<0.01).The proportion of severe pneumonia in children with type 7 positive (15.89%) was higher than that in children with non-type 7 positive (8.23%) (χ2=5.260, P=0.022). Conclusion: HADV is one of the important pathogens of children with respiratory infection in Children's Hospital of Hebei Province. The susceptible population of HADV is preschool children aged 3 to 6 years. HADV often co-detects with other respiratory pathogens. Type 3 and 7 is likely to be the dominant genotypes in this region, and type 7 may be one of the risk factors of severe pneumonia in children.
Subject(s)
Child, Preschool , Child , Humans , Infant , Adenoviruses, Human/genetics , Child, Hospitalized , Retrospective Studies , Adenovirus Infections, Human/epidemiology , Respiratory Tract Infections/epidemiology , Pneumonia , HospitalsABSTRACT
Objective@#To investigate the association of Internet gaming disorder (IGD) and sleep quality in adolescents of Xi an, thereby providing theoretical evidence for prevention of IGD and improvement of sleep quality of adolescents.@*Methods@#A total of 1 181 adolescents from 3 middle schools of Xi an were randomly selected between August, 2019 and February, 2020. These adolescents were assessed by a series of questionnaires, including basic information questionnaire, IGD and Insomnia Severity Index (ISI). Univariate analysis and multivariate Logistic regression model were used to evaluate the association between IGD and insomnia.@*Results@#Among 929 junior middle school students who participated in online games and the IGD Diagnostic Questionnaire was filled out in the past 12 months, the prevalence of IGD was 20.0%(186). Univariate analyses indicated that gender,whether single family, whether they living with their parents, whether they were addicted to online games, whether they could control the time of online games, and the severity of insomnia influenced IGD ( χ 2=17.11, 8.33, 202.92, 91.23, 29.06, P <0.05). The multivariate Logistic regression of the total population showed that participating in online games was not associated with the severity of insomnia ( OR = 1.62 , 95% CI =0.92-0.85, P >0.05). The people who participated in online games in the past 12 monthsthe severity of insomnia was positively correlated with the risk of IGD ( OR =3.56，95% CI =1.92-6.61, P <0.01).@*Conclusion@#Internet gaming disorder become a severe situation in the middle school students. The severity of insomnia might become the risk factor of IGD, so social should pay more attention to the prevention of internet addiction.
ABSTRACT
Objective@#To investigate the association of Internet gaming disorder (IGD) and sleep quality in adolescents of Xi an, thereby providing theoretical evidence for prevention of IGD and improvement of sleep quality of adolescents.@*Methods@#A total of 1 181 adolescents from 3 middle schools of Xi an were randomly selected between August, 2019 and February, 2020. These adolescents were assessed by a series of questionnaires, including basic information questionnaire, IGD and Insomnia Severity Index (ISI). Univariate analysis and multivariate Logistic regression model were used to evaluate the association between IGD and insomnia.@*Results@#Among 929 junior middle school students who participated in online games and the IGD Diagnostic Questionnaire was filled out in the past 12 months, the prevalence of IGD was 20.0%(186). Univariate analyses indicated that gender,whether single family, whether they living with their parents, whether they were addicted to online games, whether they could control the time of online games, and the severity of insomnia influenced IGD ( χ 2=17.11, 8.33, 202.92, 91.23, 29.06, P <0.05). The multivariate Logistic regression of the total population showed that participating in online games was not associated with the severity of insomnia ( OR = 1.62 , 95% CI =0.92-0.85, P >0.05). The people who participated in online games in the past 12 monthsthe severity of insomnia was positively correlated with the risk of IGD ( OR =3.56，95% CI =1.92-6.61, P <0.01).@*Conclusion@#Internet gaming disorder become a severe situation in the middle school students. The severity of insomnia might become the risk factor of IGD, so social should pay more attention to the prevention of internet addiction.