Objective To observe the effects of epileptiform discharge and its influence on humpwave sleep spindles after sleep deprivation(SD)in children with epilepsy.Methods Monitoring the wakefulness and sleep EEG of samples of 160 children who were diagnosed epilepsy after SD.Results The detection rate of epileptiform discharge(59.3%)in sleep EEG was higher than that in wakefulness EEG after SD(16.3%)(P

Objective: To investigate the degree and influencing factors of glycosylated hemoglobin ( HbA1c ) control among patients with type 2 diabetes ( T2DM ) living in rural communities of Zhejiang Province, so as to provide the reference for optimizing the management of diabetes patients in rural communities. Methods: Permanent adult patients with T2DM that were registered and received standardized management in all communities of Jiashan County and Suichang County, and 6 communities of Yongkang City, Zhejiang Province in 2016 were recruited, and their demographic characteristics were captured from the health record system and chronic disease management system. The height, body weight, waist circumstance and blood pressure were measured, and HbA1c and blood lipid parameters were detected. The degree of HbA1c control ( <7% ) was analyzed, and its influencing factors were identified using a multivariable logistic regression model. Results: A total of 10 339 patients with T2DM were enrolled, including 4 520 men ( 43.72% ) and 5 819 women ( 56.28% ), with a mean age of ( 63.54±9.78 ) years and the mean course of diabetes of ( 6.36±4.73 ) years. The rate of HbA1c control was 47.89%. Multivariable logistic regression analysis showed that males ( OR=1.123, 95%CI: 1.024-1.233 ), region ( Suichang, OR=2.413, 95%CI: 2.106-2.765; Yongkang, OR=2.460, 95%CI: 2.188-2.767 ), course of disease ( 5-9 years, OR=1.724, 95%CI: 1.504-1.977; 10 years and longer, OR=2.881, 95%CI: 2.477-3.351 ), use of hypoglycemic drugs ( OR=1.203, 95%CI: 1.089-1.329 ), development of chronic complications ( OR=1.190, 95%CI: 1.027-1.379 ), uncontrolled blood pressure ( OR=1.140, 95%CI: 1.030-1.261 ), uncontrolled blood lipid ( OR=1.258, 95%CI: 1.104-1.433 ), and smoking ( OR=1.318, 95%CI: 1.165-1.491 ) were statistically associated with HbA1c control among T2DM patients. Conclusion The rate of HbA1c control was 47.89% among T2DM patients in rural communities of Zhejiang Province. HbA1c control should be given a high priority among men living in low-economic-level regions with long course of disease, use of hypoglycemic drugs, chronic complications, smoking, uncontrolled blood pressure and lipid.

Objective To observe the effect of intelligent trunk intensive training on motor and balance for patients with stroke. Methods 80 stroke patients were divided into treatment group (n=40) and control group (n=40) randomly. Both groups accepted routine rehabilitation,and the treatment group accepted intelligence trunk intensive training in addition for 6 weeks. They were assessed with Rivermead Movement Index (RMI), the Berg Balance Scale (BBS), Sheikh trunk control ability evaluation before and after treatment. Results All the scores improved after treatment in both groups (P<0.001), and improved more in the treatment group than in the control group (P<0.001).The score of trunk control positively correlated with the score of RMI and BBS respectively (r=0.576, r=0.592, P<0.05). Conclusion Intelligent trunk intensive training can further improve the motor and balance of patients with stroke.

Objective: To learn the prevalence of dyslipidemia and its influencing factors among patients with type 2 diabetes mellitus (T2DM) in rural areas of Zhejiang Province, and to provide evidence for dyslipidemia control. Methods: A sample of 10 343 patients with T2DM managed by communities from three counties (Jiashan,Suichang and Yongkang) were recruited. Through the residents’ health record system and specific investigation, demographic features,physical examination results of blood pressure,height, weight, waist circumstance (WC), glycated hemoglobin (HbA1c),total cholesterol (TC),triglyceride (TG),low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were collected to analyze the spectrum of dyslipidemia. A logistic regression model was established to explore the associated factors of dyslipidemia. Results : The prevalence rate of dyslipidemia among the patients with T2DM in rural communities was 66.91%. The prevalence rates of higher level of TC, TG, LDL-C were 41.76%, 41.28%, 15.89%, respectively, while the prevalence rateof lower level of HDL-C was 16.92%. The prevalence rates of purely high TC,high TC with TG and purely high TG were 11.84%,11.75% and 11.47%,respectively. Higher level of TG with lower level of HDL-C was common in males (11.32%) and higher level of TC with TG was common in females (14.60%). The results from multivariate logistic regression analysis indicated that females(OR=1.499,95%CI:1.352-1.663),age(OR=0.992,95%CI:0.988-0.996),poor control of HbA1c(OR=1.241,95%CI:1.141-1.351), abdominal obesity(OR=1.169,95%CI:1.064-1.285),overweight(OR=1.384,95%CI:1.257-1.524)and obesity(OR=1.582,95%CI:1.352-1.852)were associated with dyslipidemia. Conclusions The prevalence of dyslipidemia is relatively higher among the patients with T2DM in rural communities of Zhejiang Province. Higher level of TC and TG contributed to most dyslipidemia. The patients with T2DM who are females,have poor control of plasma glucose and suffer from obesity should be under surveillance.

OBJECTIVETo understand the association between type 2 diabetes and the risk of cancers.

METHODSData related to type 2 diabetes mellitus (T2DM) cases and cancer cases were collected from Zhejiang Chronic Disease Surveillance Information and Management System (CDSIMS) , between January 1, 2007 and December 31, 2013. Cumulative incidence and relative risk (RR) with 95% confidence interval (CI) were calculated.

RESULTSFrom 2007 to 2013, a total of 327 268 T2DM and 7 435 cancer cases were respectively reported and 778 439 person-years completed the followed-up program. Among the T2DM patients, incidence of cancers was 955.12 per 100 000, with standardized incidence as 458.05 per 100 000. Compared with people without T2DM, the risk of cancer incidence increased in T2DM patients (RR=1.68, 95%CI: 1.68-1.70). Risk appeared the highest in 20-39 year age group but decreased when the increase of age. In addition, the increased risk was still significant in T2DM patients aged ≥60 years (RR=1.21, 95%CI: 1.18-1.25).

CONCLUSIONResults from the study suggested that T2DM was associated with the increased risk of cancers, statistically.

Adult ; Age Distribution ; China ; epidemiology ; Cohort Studies ; Diabetes Mellitus, Type 2 ; epidemiology ; Humans ; Incidence ; Middle Aged ; Neoplasms ; epidemiology ; Population Surveillance ; Risk Assessment ; Risk Factors ; Young Adult