1.Visuospatial Cognitive Characteristics and Behavior Problem in Children with Nonverbal Learning Disabilities
Qingxiong WANG ; Jin JING ; Xiaomei CAI ; Al ET
Chinese Mental Health Journal 1992;0(01):-
Objective:This investigation examined the relationship between visuospatial cognitive char-acteristics and behavior problems in Chinese children with nonverbal learning disabilities.Methods:Partici-pants (N=120, among 6~12 year-old) included children with NLD (N=40) and children with VLD (N=40), as well as comparison normal children (N=40) with no psychiatric history. Participants were assessed with the following measures: the Wechsler Intelligence Scale for Children (C-WISC), Draw-a-person test and CB-CL. The visuospatial cognitive ability and behavior problems were analyzed.Results:The child with NLD showed abnormality in the aspects of spatial ability, visual-movement coordination and speed, sketch percep-tion, vision memory, nonverbal reasoning and vision combination, compared with the other groups (p
2.Academic procrastination status and related factors of undergraduates from a university in Guangzhou
Xuxiang WANG ; Meixia DAI ; Cuihua GUO ; Meifang LUO ; Xiuhong LI ; Qingxiong WANG ; Jin JING ; Wenhan YANG
Chinese Mental Health Journal 2018;32(4):344-349
Objective:To explore the academic procrastination (AP) status and related factors in college students. Methods: Totally 828 undergraduates (277 male, 551 female, age 18-25 years) from Sun Yat-Sen University were investigated with a self-made questionnaire for basic information and Undergraduate Academic Procrastination Questionnaire (UAPQ) for AP status. UAPQ included overall learning procrastination (OLP), homework procrastination (HP), exam preparing procrastination (EPP) and self-learning procrastination (SLP). Students who scored more than 3 in OLP, HP, EPP, SLP were regarded as procrastinator. Result: The procrastination rates of OLP, HP, EPP, SLP were 40.7%, 29.7%, 41.5%, and 47.6%. Multiple linear regression analysis results showed that bigger (β = 0.32) and normal (β =0.15) influence for academic by mobile-phone, higher level of computer dependence (β =0.15) were positively related with academic procrastination. Higher (β =-0.27) and normal (β =-0.17) levels of grade satisfaction were negatively correlated with academic procrastination. The seniors' academic procrastination levels were lower than those in other grade (β =-0.12). Conclusion: It suggests that undergraduates procrastinate widely in many academic activities. Bigger and normal influence for academic by mobile-phone, higher level of computer dependence may be risk factors of procrastination, while being satisfied with grades and seniors may be protective factors.
3.Distribution and antimicrobial resistance pattern of bacteria isolated from alveolar lavage fluid in pediatric patients with lower respiratory tract infection
He TIAN ; Yibing CHENG ; Qingxiong ZHU ; Shuangjie LI ; Minxia CHEN ; Jianning TONG ; Qingwen SHAN ; Fang WANG ; Mei ZENG
Chinese Journal of Infectious Diseases 2022;40(1):20-27
Objective:To analyze the distribution and antimicrobial resistance pattern of bacteria isolated from alveolar lavage fluid in pediatric patients with lower respiratory tract infection from 2016 to 2018.Methods:The alveolar lavage fluid of pediatric patients aged <18 years old with lower respiratory tract infection in ten hospitals from January 2016 to December 2018 were collected, and the pathogenic bacteria were cultured and isolated. The paper diffusion method or minimum inhibitory concentration method was used to conduct drug susceptibility tests for the isolated strains.The distribution of pathogenic bacteria and the source department of the strains were analyzed.Chi-sqare test was used for statistical analysis.Results:Of 1 271 isolates, 606 strains (47.7%) were gram-negative bacteria, 628 strains (49.4%) were gram-positive bacteria, and 37 strains (2.9%) were fungi. The common pathogens were Streptococcus pneumoniae (36.7%, 466/1 271), Acinetobacter baumannii (16.8%, 214/1 271), Staphylococcus aureus (12.7%, 162/1 271), Klebsiella pneumoniae (8.3%, 105/1 271), Haemophilus influenzae (7.4%, 94/1 271), Pseudomonas aeruginosa (6.2%, 79/1 271), Burkholderia cepacia (5.3%, 67/1 271) and Escherichia coli (3.7%, 47/1 271). The main pathogens in the intensive care unit (ICU) were gram-negative bacteria (80.1%, 428/534), among which Acinetobacter baumannii was the most common (3.7%, 199/534). The main pathogens in the non-ICU were gram-positive bacteria (70.8%, 522/737). The detection rates of methicillin-resistant Staphylococcus aureus (MRSA) were 45.1%(23/51) in the ICU and 43.2% (48/111) in the non-ICU, respectively. The detection rates of penicillin-resistant Streptococcus pneumoniae (PRSP) were 10.9%(6/55) in the ICU and 18.5% (76/411) in the non-ICU, respectively. The detection rates of carbapenem-resistant Klebsiella pneumoniae (CRKP) were 57.3%(43/75) in the ICU and 33.3%(10/30) in the non-ICU, respectively. The detection rate of carbapenem-resistant Pseudomonas aeruginosa (CRPA) in the ICU was higher than that in the non-ICU (49.1%(27/55) vs 25.0%(6/24)), and the difference was statistically significant ( χ2=3.98, P=0.046). Eight strains (17.0%) of carbapenem-resistant Escherichia coli were detected, and 164 strains(76.6%) of carbapenem-resistant Acinetobacter baumannii were detected. Seventy-eight Haemophilus influenzae isolates were isolated from non-ICU, and the resistance rate to ampicillin was 57.4%(54/94). Burkholderia cepacia isolates were all isolated from ICU, and the resistance rates to piperacillin-tazobactam, levofloxacin, ciprofloxacin and compound sulfamethoxazole were 13.4%(9/67), 3.0%(2/67), 0(0/67) and 9.0%(6/67), respectively. Conclusions:Streptococcus pneumoniae is still the most common pathogen in pediatric patients with lower respiratory tract infection. Gram-negative bacilli are the main pathogens in pediatric patients with lower respiratory tract infection in the ICU. The dection rates of MRSA, PRSP and carbopenem-resistant gram-negative bacilli are high. And the resistance rate of Haemophilus influenzae to ampicillin is also high. The clinical empirical treatment should be determined according to different clinical background.
4. A multicenter clinical study on 1 138 cases of invasive pneumococcal disease in children from 2012 to 2017
Liang ZHU ; Wenhui LI ; Xinhong WANG ; Kun TAN ; Qingfeng FANG ; Qingxiong ZHU ; Kangkang WU ; Qiaozhi YANG ; Aiwei LIN ; Huiling DENG ; Jing BI ; Jing LIU ; Shiyong ZHAO ; Yun LIU ; Shujun JING ; Yumin WANG ; Lianmei LI ; Qing ZHAO ; Kaihu YAO ; Xi WANG ; Li JIA ; Fang WANG ; Jikui DENG ; Jing SUN ; Chunhui ZHU ; Kai ZHOU ; Jun LIANG ; Xiuzhen NIE ; Sancheng CAO ; Dongmeng WANG ; Shuangjie LI ; Xuexia CHEN ; Juan LI ; Yi WANG ; Lan YE ; Yanhong ZHANG ; Fang DONG ; Zhi LI ; Yonghong YANG ; Gang LIU
Chinese Journal of Pediatrics 2018;56(12):915-922
Objective:
To explore the clinical features, the serotype distribution and drug resistance of the isolates in patient with invasive pneumococcal disease (IPD).
Methods:
By retrieving the laboratory information system in 18 children′s hospitals from 2012 to 2017, the children with IPD were enrolled.