Gender Differences in Prevalence of Substance Use Disorders among Individuals with Lifetime Exposure to Substances: Results from a Large Representative Sample
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Research regarding substance use and substance use disorders (SUDs) shows significant gender differences in prevalence of substance use and dependence. Though lifetime exposure to substances is higher among males, previous reports have not regarded gender differences in prevalence of SUDs among individuals formerly exposed to substances. In addition, though substance abuse is particularly important when exploring gender differences, previous reports have largely focused on rates of transition to substance dependence alone. In this study, we explored gender differences in prevalence of SUDs among individuals with lifetime exposure to substances using a single diagnostic category (abuse or dependence). METHODS: We analyzed 11 different categories of substances: heroin, cocaine, cannabis, nicotine, alcohol, hallucinogens, inhalants, sedatives, tranquilizers, opioids, and amphetamines. Data were derived from the National Epidemiologic Survey on Alcohol and Related Conditions (Wave 1, n = 43,093). The impact of gender on prevalence of SUDs among individuals with lifetime exposure to substances was assessed with odds ratios (ORs) using logistic regressions and adjusted for socio-demographic factors. RESULTS: Our results show that among individuals with lifetime exposure to substances, males had a significantly higher prevalence of alcohol (OR = 2.95), sedatives (OR = 2.00), cannabis (OR = 1.93), tranquilizers (OR = 1.64), opioids (OR = 1.54), hallucinogens (OR = 1.31), and cocaine (OR = 1.26) use disorders compared with females. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Using a single broad diagnostic category highlights gender differences in the prevalence of SUDs among individuals with former exposure to substances. Specifically, the significant gender differences found for alcohol, sedatives, and cannabis use disorders may be important for tailoring preventive measures targeted at reducing rates of SUDs among males using these substances.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it