Cross-sectional prevalence survey of intimate partner violence perpetration and victimization in Canadian military personnel
Notice bibliographique
Résumé
BACKGROUND: Intimate partner violence (IPV) is prevalent and is associated with a broad range of adverse consequences. In military organizations, IPV may have special implications, such as the potential of service-related mental disorders to trigger IPV. However, the Canadian Armed Forces (CAF) have limited data to guide their prevention and control efforts. METHODS: Self-reported IPV perpetration, victimization, and their correlates were assessed on a cross-sectional survey of a stratified random sample of currently-serving Canadian Regular Forces personnel (N = 2157). The four primary outcomes were perpetration or victimization of any physical and/or sexual or emotional and/or financial IPV over the lifespan of the current relationship. RESULTS: Among the 81% of the population in a current relationship, perpetration of any physical and/or sexual IPV was reported in 9%; victimization was reported in 15%. Any emotional and/or financial abuse was reported by 19% (perpetration) and 22% (victimization). Less physically injurious forms of abuse predominated. Logistic regression modelling showed that relationship dissatisfaction was independently associated with all four outcomes (OR range = 2.3 to 3.7). Probable depression was associated with all outcomes except physical and/or sexual IPV victimization (OR range = 2.5 - 2.7). PTSD symptoms were only associated with physical and/or sexual IPV perpetration (OR = 3.2, CI = 1.4 to 7.9). High-risk drinking was associated with emotional and/or financial abuse. Risk of IPV was lowest in those who had recent deployment experience; remote deployment experience (vs. never having deployed) was an independent risk factor for all IPV outcomes (OR range = 2.0 - 3.4). CONCLUSIONS: IPV affects an important minority of military families; less severe cases predominate. Mental disorders, high-risk drinking, relationship dissatisfaction, and remote deployment were independently associated with abuse outcomes. The primary limitations of this analysis are its use of self-report data from military personnel (not their intimate partners) and the cross-sectional nature of the survey. Prevention efforts in the CAF need to target the full spectrum of IPV. Mental disorders, high-risk drinking, and relationship dissatisfaction are potential targets for risk reduction. Additional research is needed to understand the association of remote deployment with IPV.
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 | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».