Clinical trial NCT05958641: Construction of Early Warning Model for the New Psychoactive Substances Using in Adolescents
Official title: Early Warning Model Construction on Cognition, Resistance and Using Risk of the New Psychoactive Substances in Adolescents Based on Behavioral Expression of Addiction Susceptibility Genes and Adverse Childhood Experience
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Drug Addiction
Keywords: risk prediction model
NPS
addiction susceptibility genes
adverse childhood experience
adolescents
Lead sponsor: Sun Yat-sen University
Sponsor class: OTHER
First posted: 2023-07-24
Enrollment: 200
Sex: ALL
Minimum age (years): 14
Maximum age (years): 35
Standard ages: CHILD
ADULT
Accepts healthy volunteers: yes
Observational model: OTHER
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: General adolescents between 14-35 years old

Brief summary: Based on the biological-psychology-sociological medicine pattern, this study aims to construction an early warning model of the New Psychoactive Substances (NPS) using for adolescents aged 14-35 years old. This study intends to obtain the data related to the behavioral expression of addiction susceptibility genes, adverse childhood experience, cognition, resistance and the use of NPS in adolescents by questionnaire survey (sample size: 200), and then use logistic regression and machine learning to construct an early warning model.

Detailed description: Based on the biological-psychology-sociological medicine pattern, this study aims to construction an early warning model on the use of the New Psychoactive Substances using for adolescents aged 14-35 years old. This study intends to conduct a questionnaire survey (sample size 200) to obtain data related to the behavioral expression of addiction susceptibility genes, childhood adversity experience, cognition, resistance and the use of NPS in adolescents from different regions and different populations. Through data analysis, this study aims to get the weight of different risk factors on NPS use, and then use logistic regression and machine learning to construct an early warning model, so as to screen out high-risk groups. At the same time, the expert group was consulted to establish a risk early warning system to provide a basis for intervention.

Eligibility criteria: Inclusion Criteria:

* Adolescents aged 14-35 (including 14,35 years old)
* Agree to participate in the studies

Exclusion Criteria:

* Be diagnosed with psychological or mental illness
* People that are unconscious, emotionally unstable, or unable to communicate normally
* Patients with severe diseases

Primary outcomes:
measure: the cognition of NPS
timeFrame: Baseline
measure: the resistance of NPS
timeFrame: Baseline
measure: the use of NPS
timeFrame: Baseline
measure: Adverse Childhood Experience
timeFrame: Baseline
measure: hedonic hunger
timeFrame: Baseline
measure: sensation seeking personality
timeFrame: Baseline
measure: prosocial behavior
timeFrame: Baseline
measure: externalizing behavior
timeFrame: Baseline
measure: sleep quality
timeFrame: Baseline
Secondary outcomes:
Other outcomes:
Locations:
city: Guangzhou
country: China
facility: Sun Yat-sen University
state: Guangdong
Study officials:
affiliation: Sun Yat-sen University
name: Wei Xia, PhD
role: PRINCIPAL_INVESTIGATOR
References: