A Multicountry Study of the Violence-Related Risk Factors for Early Sexual Debut and Risky Sexual Behavior in Adolescents
Notice bibliographique
Résumé
Globally, the prevalence of adolescent sexual intercourse and violence is high. However, to date, no study has investigated the association between violence and sexual behavior in a large representative sample of adolescents, while multicountry studies are also lacking. The objective was thus to examine the relationship between being physically attacked and physical fighting with sexual intercourse, multiple sexual partners, and non-condom use among adolescents aged 12 to 15 years from 43 low- and middle-income countries. Cross-sectional data from 127,513 adolescents participating in the Global School-based Student Health Survey 2003-2016 were analyzed. Data on being physically attacked and physical fighting were assessed through self-report. Data on sexual behavior were collected as follows: (a) ever having had intercourse; among those who reported having had intercourse, (b) multiple (≥2) lifetime sexual partners, and (c) condom use in last sexual intercourse. Data were analyzed using multivariable logistic regression analysis with violence as the exposure and sexual behavior as the outcome, with odds ratios being estimated. Physical attack was dose-dependently and significantly associated with all three sexual behavior outcomes with it being associated with 1.42 (95% confidence interval [CI] = [1.16, 1.74]), 2.13 (95% CI = [1.39, 3.27]), and 1.48 (95% CI = [1.10, 2.00]) times higher odds for sexual intercourse, condom non-use, and multiple sex partners, respectively, when the highest category was compared with the lowest (i.e., ≥4 times vs. 0 times). As for physical fights, compared with not being in a fight in the past 12 months, being in a fight ≥4 times was associated with 2.34 (95% CI = [2.03, 2.70]) and 1.98 (95% CI = [1.56, 2.52]) times higher odds for sexual intercourse and multiple sex partners, respectively. In conclusion, in a large global sample of adolescents, physical attack and physical fight were associated with greater risk of engaging in sexual behavior. Multidimensional government programs and policies addressing violence in young adolescents may lead to reduction in early sexual debut and other risky sexual behavior.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 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 | 0,002 |
| 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 ».