Objective: To study relationship among ambulatory pulse pressure (PP), pulse pressure index (PPI) and carotid intima-media thickness (IMT) in aged patients with hypertension. Methods: The 24h ambulatory blood pressures of 159 subjects were measured, and their ambulatory PP [(mean systolic blood pressure (SBP) - mean diastolic blood pressure (DBP)] and ambulatory PPI (ambulatory PP/mean SBP) were calculated. Color Doppler ultrasonography was used to measure carotid IMT. Relationship between ambulatory PPI and carotid IMT was analyzed. Results: Pearson correlation analysis indicated that carotid IMT was correlated with age (r=0.353), mean SBP (r=0.594), mean DBP (r=-0.355), ambulatory PP (r=0.855) and ambulatory PPI (r=0.883), P<0.001 all. Multivariant gradual regressive analysis indicated that carotid IMT possessed significant linear correlation with ambulatory PP and ambulatory PPI (R2=0.789), and standardized regression coefficient β of ambulatory PPI (β=0.621) was higher than that of ambulatory PP (β=0.284). Conclusion: Ambulatory pulse pressure index and ambulatory pulse pressure are good indicators for evaluation of carotid arteriosclerosis, and value of ambulatory pulse pressure index is more than.

Objective: To determine the national norm of Chinese questionnaire of quality of life in Chinese patients with cardiovascular diseases (CQQC) according patients with hypertension, coronary artery disease（CAD）, and congestive heart failure（CHF）and to analyze the influence factors. Methods: The quality of life was estimated by CQQC to evaluate 7937 persons normal and with cardiovascular diseases（contain with hypertension, CAD, and CHF ） in 28 hospitals of 19 cities across China. The data were compared in gender, age, exercise, psychologic condition, education, number of family member and medical cost. Results: 1、The mean scores（national norms）of normal persons were （95.74±23.21）; 2、The scores of hypertension patients were （73.75±23.62）, the scores of hypertension stage 3 group （69.06±21.78）were least compared with other stages（P<0.01）; 3、The scores of CAD patients were（64.67±20.59）, the scores of unstable angina group（55.37±18.62）were least compared with other types in CAD patients（P<0.01）; 4、The scores of CHF patients were （40.36±17.24）, it was least compared with those of hypertension and CAD patients （P<0.01）; 5、Influence factor: （1）Sex, age: The mean scores were （71.41±27.8）for 7937 persons, the scores of male persons were significantly higher than those of female (P=0.000). In normal persons, along with age increased, the scores decreased （P<0.05） ; except ≥70 ages group, the scores of male persons were higher than those of female（P<0.05） ; （2）Exercise: The scores of patients participating exercise were significantly higher than those of no participating exercise [（72.64±21.87）vs.（66.91±23.13）, P=0.000]; （3）Psychological condition: The scores of patients with healthy psychological condition were significantly higher than those of with psychologic disorder [（70.13±25.66）vs.（68.91±20.44）, P=0.001]; （4）Other: patients with better education, more than 1 family members and medical insurance or public expense had more scores (P<0.05～0.001). Conclusions： The sample size is large and the datum is reliable for Chinese questionnaire of quality of life in Chinese patients with cardiovascular diseases. It can reflect influence of age, sex, exercise, psychologic condition, family, education background, medical condition and disease, its item is brief, clear, and operation is easy, so it may well be spread.

Objective: To understand the latent categories of sleep disturbances among children and adolescents with neurodevelopmental disorders (NDDs) in Tianjin and their relationship with behavioral and social issues, so as to provide a basis for preventing and improving sleep disturbances in the population. Methods: From September 2021 to June 2024, 272 children and adolescents aged 2-23 years with neurodevelopmental disorders were recruited from special education schools and designated rehabilitation institutions in Tianjin. Sleep disturbances were assessed using the Children s Sleep Habits Questionnaire (CSHQ). Behavioral and social issues and severity were evaluated using the Autism Behavior Checklist (ABC) and Childhood Autism Rating Scale (CARS). Latent class analysis (LCA) was employed to categorize the subjects into different sleep disturbances categories. Cochran- Armitage test was used to analyze the trend of detection rate of sleep disturbances in different age groups. Spearman rank correlation was used to analyze the correlation between the scores of each scale. The generalized linear model was used to analyze the influence of CARS and ABC scale scores. Covariance analysis was used to examine differences in behavioral and social issues among the different categories. Results: Among 272 survey respondents, a total of 197(72.4%) children and adolescents with NDDs were identified with sleep disturbances. The detection rates of sleep disturbances were 88.9% for those aged 2-6 years, 70.6% for aged 7-12, 66.7% for aged 13-18 and 50.0% for 19-23 years old, which was decreased across age group ( Z =3.58, P <0.01). There was a positive correlation between the total CSHQ score and the total ABC score ( r=0.16, P =0.01). The generalized linear model analysis showed that after adjusting age, gender, parents education level and family monthly income, bedtime habit ( β =3.60) and sleeping latency disorder ( β =3.36) were positively correlated with CARS scores, while the bedtime habit ( β =16.73) and waking up at night ( β =17.46) were positively correlated with ABC scores ( P <0.05). LCA revealed that sleep disturbances in children and adolescents with NDDs could be classified into four categories. The covariance analysis results showed that there were statistically significant differences in the average scores of CSHQ (70.84±9.05, 50.96±6.64, 50.33±5.82, 43.84±5.44) and ABC (49.44± 39.34 , 53.04±39.75, 63.51±40.31, 38.14±34.23) among different categories of all partipants ( F=92.09, 3.95, P <0.05). Conclusion Sleep disturbances in children and adolescents with NDDs are severe and exhibit distinct categorical characteristics.

Objective: To investigate the association of physical activity and screen time with overweight and obesity among children and adolescents with special needs in Tianjin, so as to provide scientific evidence for childhood obesity prevention and intervention measures in the population. Methods: From January 2022 to June 2024, 296 children and adolescents with intellectual disabilities and autism spectrum disorders aged 2-18 years were recruited from special education schools and institutions in Tianjin. Height and weight were measured, and a standardized questionnaire was used to assess physical activity and screen time. Binary Logistic regression analysis was carried out to investigate the association of physical activity and screen time with overweight and obesity. Results: The prevalence of overweight and obesity among children and adolescents with special needs in Tianjin were 17.2% and 21.6%, respectively, and the combined prevalence of overweight and obesity was 38.9%. The median of moderatetovigorous physical activity (MVPA) time was 0.20 h/d, and physical activity sufficiency rate was 7.8%. The median of screen time was 1.79 h/d, and the screen time compliance rate was 68.2%. The binary Logistic regression results showed that lower levels of MVPA time and increased screen time were associated with a higher risk of overweight and obesity among children and adolescents with special needs [OR(95%CI)=1.80(1.06-3.07), 2.40(1.42-4.07),P<0.05]. Conclusions Insufficient physical activity and excessive screen time are associated with an increased risk of overweight and obesity among children and adolescents with special needs. Therefore, comprehensive intervention measures should be implemented as early as possible to prevent and reduce the incidence of overweight and obesity in this population.

Depression is one of the most common mental disorders in adolescents, with high recurrence rate and high suicide rate, seriously endangering the physical and mental health development of adolescents. Adolescent depression animal models can mimic the human depression phenotype, which can help to study the disease pathogenesis, find effective therapeutic targets, and develop new antidepressant drugs. Therefore, in order to screen animal models that better meet the experimental requirements, this paper reviews the articles on animal models of adolescent depression, comprehensively summarises and analyses the modelling methods and principles, strengths and weaknesses, and behavioural evaluations of the commonly used animal models of adolescent depression (stress models, genetic models, chemically-induced models, surgical injury models and composite models), and look forward to the development direction of animal models of depression in adolescence. It also looks forward to the development direction of adolescent depression animal models, aiming to better simulate the development of the disease, provide a variety of animal models for adolescent depression animal model related research, and lay the foundation for subsequent research.

Purpose/Significance The recent applications of machine learning in epilepsy seizure prediction,diagnosis prediction,seizure detection,efficacy prediction of antiepileptic drugs,and epilepsy surgery prediction are summarized and analyzed.Method/Processs Literatures are searched through PubMed to summarize the performance of each machine learning model and the challenges exist-ing in machine learning technology.Result/Conclusion Machine learning plays an important role in the diagnosis and treatment of epi-lepsy,and can provide reference for clinical doctors'diagnosis and treatment work.