Objective: To explore the therapeutic effect of psychological intervention on cerebral infarction in rehabilitation period.Methods:A total of 64 patients with cerebral infarction in rehabilitation period hospitalized in our hospital from Jan 2012 to Dec 2013 were randomly selected and divided into routine nursing group (n=32,re-ceived routine nursing care)and psychological intervention group (n=32,received psychological intervention based on routine nursing care)according to number table method.Therapeutic effect was observed and compare between two groups.Results:There were no significant difference in scores of national institutes of health stroke score (NIHSS)and Bathel index between two groups before treatment,P >0.05. After treatment,scores of NIHSS and Bathel index significantly increased in both groups,and those of psychological intervention group were significantly higher than those of routine nursing group [NIHSS: (70.52 ± 5.79)scores vs.(42.61 ± 3.17)scores,Bathel index:(62.62±20.53)vs.(43.24±17.91)],P <0.01 both.Conclusion:Psychological intervention possesses sig-nificant therapeutic effect in patients with cerebral infarction during rehabilitation period,which is worth extending in clinic.

Objective To explore the motor development and how it is influenced by gestational age and birth weight in children with autism,and provide evidence for the applications of motor development in the early diagnosis of autism. Methods A 1 ∶ 1 matched case-control study was conducted between 2012 and 2014. A total of 396 children under 5 years old with autism were enrolled in this study,their counterparts were healthy children 3 month younger/ older and with the same gender and residence. Guardians of partici-pants were investigated using self-designed childhood psychological and behavioral development and related factors questionnaire. EpiData 3. 0 software was used to establish the data base and SAS 9. 4 software was used for data analysis. Results 396 pairs were enrolled in this study which including 342 pairs of boys (86. 3%) and 54 pairs of girls(13. 7%),the gender ratio was 6. 33 ∶ 1; The average month age of case group was (39. 44±11. 99) months and (39. 96±12. 24) months for the control group. There was no signifi-cant difference observed in the distribution of birth weight(χ2=3. 888,P=0. 140) and gestational age specif-ic birth weight(χ2=0. 462,P=0. 794)between two groups. But the distribution of gestational age was signifi-cantly different(χ2=9. 476,P=0. 009) . Children with autism have significant delaying in motor develop-ment compared with healthy children at same age,which including head lifting(3. 50(1. 00) month),rolling (6. 00(3. 50)month),sitting(8. 00(2. 50)month),etc. Preterm birth could have an effect on head lifting, rolling and sitting in children with autism,and also was the risk factor of delaying occurrence of head lifting (OR=2. 911,95%CI=1. 491-5. 681);Small for gestational age( SGA) was also a risk factor of delaying in walking(OR=1. 703,95%CI=1. 053-2. 754). Conclusion Evident delaying of motor development is ob-served among children with autism. Both preterm and SGA are risk factors for delayed motor development. Thus,early recognization of abnormities in motor development should raise awareness among caregivers and children care workers and assist in early diagnosis of children with autism.

Objective: To analyze the allocation of human resources for chronic disease prevention and control of district/county-level centers for disease control and prevention(CDC) in China in 2020. Methods: Survey subjects were from National Chronic Noncommunicable Disease and Risk Factor Surveillance Sites and National Demonstration Areas for Chronic Noncommunicable Disease Prevention and Control (demonstration areas). A survey examining the allocation of human resources for chronic disease prevention and control at district/county-level CDC was conducted in December 2021 through the National Demonstration Areas Management Information System. The number and rate of allocation of human resources for chronic disease prevention and control in district/county-level CDC were analyzed and the Wilcoxon rank sum test was used to compare the difference between demonstration and non-demonstration areas and between urban and rural areas. The Kruskal-Wallis H test was used to compare the difference in east, central and west regions. The Gini coefficient and Theil index were used to evaluate the balance of human resource for chronic disease prevention and control. Results: A total of 678 districts/counties were investigated, and 664 districts/counties responded effectively, with an effective response rate of 97.9%. The establishment rate of district/county-level CDC was 98.34% (653/664), and the establishment rate of chronic disease prevention and control departments of district/county-level CDC was 96.02% (627/653). In 627 district/county-level CDC with departments for chronic disease prevention and control, the median number of full-time technical personnel for chronic disease prevention and control was 4, the median number of full-time technical personnel in demonstration areas (4 persons) was higher than in non-demonstration areas (3 persons), highest in the east region (5 persons) than in the middle region (4 persons) and the west region (4 persons), higher in urban areas (4 persons) than in rural areas (4 persons) (all P values<0.05). The allocation rate was 0.71 people/100 000, which was higher in demonstration areas (0.73 people/100 000) than in non-demonstration areas (0.67 people/100 000), highest in the west region (0.82 people/100 000) than in the middle region (0.71 people/100 000) and east region (0.67 people/100 000), higher in rural areas (0.77 people/100 000) than in urban areas (0.68 people/100 000) (all P values<0.05). The Gini coefficient for the allocation by population size was 0.352 9. The total Theil index for demonstration and non-demonstration areas, different regions, and urban-rural areas were 0.067 8, 0.076 3, and 0.000 2, with the intra-group contribution of 97.35%, 99.52%, and 98.80%, respectively. Conclusion: In 2020, the allocation of human resources for chronic disease prevention and control in district/county-level CDC is relatively balanced. The variation in the allocation of human resources for chronic disease prevention and control exist between demonstration and non-demonstration areas, urban and rural areas, and across regions.
Humans ; Noncommunicable Diseases/prevention & control* ; Workforce ; China ; Risk Factors ; Chronic Disease

Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ²=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
Adolescent ; Brain Abscess ; Child ; Child, Preschool ; Escherichia coli ; Female ; Humans ; Hydrocephalus ; Infant ; Infant, Newborn ; Male ; Meningitis, Bacterial/epidemiology* ; Retrospective Studies ; Streptococcus agalactiae ; Streptococcus pneumoniae ; Subdural Effusion ; beta-Lactamases