Prevalence and determinants of recreational drug use and related health effects among youths
Notice bibliographique
Résumé
Background Recreational drug use among youths has emerged as a significant public health concern, particularly in Nigeria's South-South Geopolitical Zone. This study assessed the prevalence and determinants of the use of recreational drugs among youths in Abraka, Delta State. Methods A cross-sectional study was conducted over a period of approximately 4 months, from January 2024 to April 2024, involving 470 youths residing in Abraka, selected through a multistage sampling. Data were collected using a validated structured self-administered questionnaire, while data management and statistical analysis were performed using Microsoft Excel and SPSS version 25, employing descriptive statistics, Chi-square tests, and multivariable logistic regression to identify predictors of drug use. Results The respondents were 64.5% male, 66.8% aged 21–30, 75.1% single, 56.2% had secondary education, 45.5% were skilled workers, 94.5% Christians, and 42.1% had a family history of drug use. Regarding knowledge, 82.6% recognized the risk of long-term dependence, 88.9% acknowledged marijuana's short-term effects, 89.4% understood the risk of kidney and liver damage, and 79.1% were aware of suicidal tendencies associated with severe drug use. Knowledge was rated good in 63.2%, fair in 31.3%, and poor in 5.5%. Attitudes varied: 47.0% strongly disagreed with drug use, 46.6% did not view drugs as harmful, 65.1% agreed that illegal drug possession leads to arrest, and 81.1% had a positive attitude toward drug use. Awareness was high (98.7%), particularly for codeine (85.0%), alcohol (82.9%), and cannabis (76.2%). The prevalence of drug use was 41.9%, with alcohol (59.1%), tobacco (35.1%), and marijuana (22.3%) being the most commonly used substances. Married individuals were 1.6 times more likely to use drugs compared to singles (AOR = 1.6, 95% CI: 1.0–2.6, p = 0.030), and those with tertiary education were 2.1 times more likely to use drugs than those with secondary education or less (AOR = 2.1, 95% CI: 1.5–3.1, p < 0.001). These associations were statistically significant, indicating that marital status and educational level are important socio-demographic predictors of recreational drug use Conclusion The study stresses the need for drug education addressing health risks and social factors. Targeted interventions, including peer-influenced education and community support, are essential to reduce drug use among youths in Abraka. Nonetheless, future studies should address some limitations, such as examining the prevalence and predictors of recreational drug use in a more diverse demographic, including various age groups and gender representations, and reducing reliance on self-reported data regarding drug use behaviors and related health issues.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».