Attention deficit hyperactivity disorder symptoms and risky sexual behaviours in university students:the i-Share study
Bibliographic record
Abstract
BACKGROUND: Risky sexual behaviours (RSB) and attention deficit hyperactivity disorder (ADHD) are both major concerns among university students. However, their association remains insufficiently understood. This study aimed to evaluate the relationship between ADHD symptoms and a broad range of RSB in university students. METHODS: A total of 13 085 French students enrolled in the i-Share (Internet-based Students' Health Research Enterprise study (mean age: 20.6 years, SD=2.4) completed self-reported questionnaires assessing ADHD symptoms (Adult Self-Report Scale V.1.1), RSB, sociodemographic characteristics and alcohol and cannabis use. Logistic regression models were used to examine the cross-sectional associations between ADHD symptoms and RSB, adjusting for relevant confounders. RESULTS: A high level of ADHD symptoms was observed in 5.3% of students. In multivariate models, ADHD symptoms were associated with a wide range of RSB, including early first sexual intercourse (adjusted OR (aOR) 1.26; 95% CI 1.06 to 1.51), inconsistent condom use in the last 12 months (aOR 1.26; 95% CI 1.05 to 1.51), diagnosis of a sexually transmitted infection in the last 12 months (aOR 1.60; 95% CI 1.16 to 2.22) and having had multiple sexual partners in the last 12 months (adjusted incidence rate ratio 1.20; 95% CI 1.14 to 1.27). Among female students, ADHD symptoms were associated with lower current use of any form of contraception (aOR 0.59; 95% CI 0.48 to 0.71), and higher odds of having ever used emergency contraception (aOR 1.22; 95% CI 1.02 to 1.47), and having ever had an abortion (aOR 1.77; 95% CI 1.21 to 2.58). CONCLUSIONS: University students with a high level of ADHD symptoms are at increased risk of engaging in a wide range of RSB. Targeted preventive strategies may be particularly beneficial for this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".