Overview
The prevalence of mental disorders and developmental behavioral disorders (such as depressive disorders,anxiety disorders, autism spectrum disorders,attention deficit disorder,ect.)among children and adolescents in China is increasing,leading to difficulty in early identification of children and poor diagnosis and treatment effects,which brings significant financial burden to the families and the country.We will carry out a multi-center epidemiological survey on common mental disorders above among children and adolescents in Sichuan-Chongqing region and clarify the prevalence,geographical distribution and demographic characteristics.A total of more than 12,000 children and adolescents under 18 years old with a diagnosis of depression/anxiety disorders/ASD/ADHD based on DSM-5 criteria is included to build a research platform and database,so that we will formulate intelligence diagnosis and treatment standards.This study will establish the "Children and Adolescents Mental and Developmental Disabilities Innovation Alliance" in Sichuan and Chongqing areas and finally build intelligent early warning,diagnosis and intervention systems for disease in hope that technology transformation to be promoted and applied.
Description
- Procedures. From January 2023 to December 2023,obtain the number of primary school students in the nine economic zones of Sichuan and Chongqing, and calculate the proportion of primary school students in each region. Randomly select 2-3 classes from each school's grade (determined based on the proportion of primary school students in each functional region and class size), and use class clusters as the research object. Establish the "Children and Adolescents Mental and Developmental Disabilities Innovation Alliance" in Sichuan and Chongqing areas.From January 2023 to December 2025,finish collecting the required sample size for four types of mental and psychological disorders. Bring into children and adolescents who meet the standards and build the epidemiological database. Develop and continuously improve different intervention plans for Moca and systematic aerobic exercise training in patients with DD, AD, ASD, and ADHD, and apply neuroregulatory techniques to evaluate and treat the aforementioned diseases.During 2025,build intelligent early warning,diagnosis and intervention systems for disease.Finally promote the application of databases and intelligent diagnosis and treatment systems in multiple institutions in more than 10 districts and counties in Sichuan-Chongqing region,with no less than 500 users per unit.
- Demographic questionnaire and clinical data. The demographic questionnaire is completed by the child's primary caregiver, detailing child's name, gender, date of birth, height, weight, blood pressure, heart rate. Clinical data will be ascertained from the medical records, including information about DSM-5 diagnosis, disease classification, current treatment, and comorbid conditions.
- Sample size.This study is an interventional trial. The total number of samples in the database reached>12000. Among them, the total number of depressive disorders reached>5000, the total number of anxiety disorders reached>5000, the total number of autism spectrum disorders reached>1000, and the total number of attention deficit hyperactivity disorder reached>1000. Children with depressive disorders, anxiety disorders, autism spectrum disorders, and attention deficit hyperactivity disorder are required to complete four years of follow-up and intervention. Blood samples will also need to be collected from each child included in the database. Adopt a set of wearable diagnosis and treatment equipment for common mental, psychological and developmental behavioral disorders in children and adolescents, and establish an auxiliary diagnosis and treatment system through brain imaging, brain function imaging, and neuromodulation technology. At the same time, differentiated intervention is carried out in aerobic exercise, quotient theory, and executive skills training, supplemented by the CCBT theory Moca system, structured psychotherapy and artificial intelligence technology, and combined with the auxiliary diagnosis and treatment system to build an intelligent early warning, diagnosis and intervention system.
- Statistical analysis.All the data are analyzed using SPSS 25.0 or R language,which enters by a dedicated person,and checks by three people to ensure accurate data entry.Statistical analysis is completed under the guidance of professional statistical analysts from the Epidemiology Research Office of the project leader's unit.
- Ethical matters and data protection. Before epidemiological survey,children and guardians participating in the study signed a consent form and schools signed a disclaimer.During the study,medical ethics laws and regulations were strictly observed,and psychiatrists,psychologists and pediatricians participated in the entire process to provide health protection for children.And they protect the privacy of subjects and do not disclose subjects' information.
Eligibility
Inclusion Criteria:
- Depression patients:(1)Diagnose of depression according to DSM-5;Having the ability to act independently;Clear awareness;Able to communicate normally;Consent to the study ; (2)Under 18 years old;
- Anxiety patients: (1)Diagnose of anxiety according to DSM-5;Having the ability to act independently;Clear awareness;Able to communicate normally;Consent to the study ; (2)Under 18 years old;
- ASD patients:(1) Diagnose of ASD according to DSM-5;Do not have other neurological developmental disorders; (2)Under 18 years old;
- ADHD patients: (1) Diagnose of ADHD according to DSM-5;Do not have other neurological developmental disorders; (2)Aged 4-18 years old;
Exclusion Criteria:
- suffering other mental illnesses and neurological disorders now or in the past
- suffering severe physical illnesses now or in the past
- substance or drug abuse now or in the past