A Study of the Correlation Between the Severity of Substance Use Disorder and the Intensity of Dependence on Generative Artificial Intelligence
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Correlation coefficient between substance use disorder severity and generative AI dependency
研究概览
简要总结
This bicentric, cross-sectional observational study conducted in France evaluates the relationship between substance use disorder (SUD) severity and generative artificial intelligence dependency among outpatients treated in specialized addiction care centers (CSAPA).
While conversational generative artificial intelligence tools have seen rapid widespread adoption, potential problematic usage and cognitive dependency remain poorly documented in clinical addictology. Outpatients followed for substance use disorders present shared cognitive, reward-processing, and behavioral vulnerabilities that may heighten their susceptibility to emerging digital dependencies.
Eligible adult patients complete a single 15-minute evaluation comprising the Generative Artificial Intelligence Dependency Scale (GAIDS; 11 items rated on a 5-point Likert scale from 1 to 5, total score range: 11 to 55) and the DSM-5 diagnostic criteria checklist for their primary substance of abuse, alongside sociodemographic characteristics. Clinical data, including documented psychiatric comorbidities, are extracted in parallel from electronic health records. Following questionnaire completion, participants receive a dedicated debriefing and clinical restitution interview with an investigator.
The primary objective is to evaluate the linear correlation between SUD severity (number of validated DSM-5 criteria, from 0 to 11) and generative artificial intelligence dependency intensity (total raw GAIDS score). Secondary objectives aim to describe generative artificial intelligence dependency levels across specific primary substance classes (alcohol, tobacco, cannabis, cocaine, opioids, etc.), documented comorbid psychiatric disorders (e.g., mood disorders, ADHD, anxiety, personality disorders), and sociodemographic subgroups (age brackets, sex, education, and occupational status).
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult patient (aged 18 years or older), with or without legal protection measures
- •Actively followed for a substance use disorder (SUD) characterized according to DSM-5 criteria at a participating specialized addiction care center (Nice University Hospital or Sainte-Marie Hospital in Nice, France).
- •Self-reported use of a conversational generative artificial intelligence tool at least once in the past 12 months.
- •Ability to understand, read, and complete a self-administered questionnaire in French.
- •Oral non-opposition obtained from the patient (and from their legal representative if applicable).
- •Affiliated with or beneficiary of a French social security healthcare system.
排除标准
- •Minor patient (< 18 years old).
- •Major neurocognitive disorders, intellectual disability, or acute psychiatric decompensation precluding comprehension or questionnaire completion.
- •Explicit opposition to participate expressed by the patient or their legal representative.
- •Withdrawal of non-opposition during the study.
- •Incomplete questionnaire or clinical record preventing computation of primary scores.
研究组 & 干预措施
CSAPA outpatients using generative AI
干预措施: Questionnaire assessment (Other)
结局指标
主要结局
Correlation coefficient between substance use disorder severity and generative AI dependency
时间窗: Baseline (single cross-sectional assessment, Day 0)
Linear correlation coefficient (Pearson or Spearman, depending on distribution normality) between the number of validated DSM-5 criteria for the primary substance (score ranging from 0 to 11, higher scores indicate greater severity) and the total raw score on the Generative Artificial Intelligence Dependency Scale (GAIDS; 11 items rated on a 5-point Likert scale from 1 to 5; total score range: 11 to 55; higher scores suggest greater dependency).
次要结局
- Generative artificial intelligence dependency score broken down by primary substance(Baseline (Day 0))
- Generative artificial intelligence dependency score broken down by psychiatric comorbidities(Baseline (Day 0))
- Generative artificial intelligence dependency score broken down by sociodemographic characteristics(Baseline (Day 0))