The Network Constellation of Personality and Substance Use: Evolution from Early to Late Adolescence
Bibliographic record
Abstract
There is a well–established link between substance use and four personality traits of anxiety–sensitivity, hopelessness, impulsivity, and sensation–seeking. However, construct–level models of personality may conceal indicator–level personality–outcome associations. The current study aims to investigate evolution of the network constellation of personality and cannabis/alcohol use from early to late adolescence. Data comes from the longitudinal Co–Venture cohort (N = 3800). Personality indicators, measured by Substance Use Risk Profile Scale (SURPS) items, and the frequency of cannabis/alcohol use were assessed at four consecutive years (13–17 years old). Network constellations of the SURPS items and cannabis/alcohol use were estimated using Bayesian Gaussian graphical models at four time points. Results highlighted the age–specific associations between personality indicators and substance use. The positive role of the sensation–seeking trait (e.g. attitude towards transgression) was constant, whereas the positive role of hopelessness indicators (e.g. not being enthusiastic about future) and the negative role of anxiety–sensitivity indicators (e.g. fear of having unusual body sensations) were more prominent at early adolescence. The current study provides a novel perspective on the network structure of personality and substance use in adolescence and suggests substance–specific and age–adjusted targets in intervention efforts. © 2020 European Association of Personality Psychology
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".