Socio-contextual factors and adverse childhood experiences as determinants of substance use disorder among individuals between ages 18-40 years in Kano, Nigeria
Bibliographic record
Abstract
Background There is a paucity of literature on the connection between Adverse Childhood Experiences (ACEs), certain socio-contextual factors, and substance use disorder (SUD). Therefore, this study aimed at investigating the socio-contextual factors (gender, age range, educational levels, and types of settlement) and ACEs as determinants of SUD among individuals between the ages of 18-40 years in Kano, Nigeria.Methods This study used a pack questionnaire containing socio-contextual information, a 10-item Revised Inventory of Adverse Childhood Experiences, and Drug Abuse Screening Test-20 to collect data from 599-participant.Results Findings showed a high (55.3%) severe SUD (addiction problem) among the participants. Individuals with a history of ACEs (parental neglect, sexual abuse, physical abuse, and emotional abuse) scored more on SUD compared with their other counterparts. Moreover, male respondents scored higher on SUD than their female counterparts. Participants with a low level of education scored higher on SUD compared with secondary and tertiary certificate holders. However, types of settlement were not related to SUD.Conclusions Gender, age-range, educational levels, and ACEs are determinants of SUD among participants. Policymakers should organize programs that could ameliorate ACEs and low education. Also, emerging adults and males should be psycho-educated and trained to reduce substance use problems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".