Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5479
Title: Pre-marital predictors of marital violence in the WHO World Mental Health (WMH) Surveys
Authors: Stokes, Cara M
Alonso, Jordi
Andrade, Laura Helena
Atwoli, Lukoye
Cardoso, Graça
Chiu, Wai Tat
Dinolova, Rumyana V
Gureje, Oye
Karam, Aimee N
Karam, Elie G
Kessler, Ronald C
Chatterji, Somnath
King, Andrew
Lee, Sing
Mneimneh, Zeina
Oladeji, Bibilola D
Petukhova, Maria
Rapsey, Charlene
Sampson, Nancy A
Scott, Kate
Street, Amy
Viana, Maria Carmen
Williams, Michelle A
Bossarte, Robert M
Affiliations: Faculty of Medicine 
Keywords: Epidemiology
International
Intimate partner violence
Mental health
Predictive modeling
Issue Date: 2020
Publisher: National Library of Medicine
Part of: Social Psychiatry and Psychiatric Epidemiology
Volume: 55
Issue: 3
Start page: 393
End page: 405
Abstract: 
Purpose
Intimate partner violence (IPV) is a pervasive public health problem. Existing research has focused on reports from victims and few studies have considered pre-marital factors. The main objective of this study was to identify pre-marital predictors of IPV in the current marriage using information obtained from husbands and wives.

Methods
Data from were obtained from married heterosexual couples in six countries. Potential predictors included demographic and relationship characteristics, adverse childhood experiences, dating violence, and psychiatric disorders. Reports of IPV and other characteristics from husbands and wives were considered independently and in relation to spousal reports.

Results
Overall, 14.4% of women were victims of IPV in the current marriage. Analyses identified ten significant variables including age at first marriage (husband), education, relative number of previous marriages (wife), history of one or more categories of childhood adversity (husband or wife), history of dating violence (husband or wife), early initiation of sexual intercourse (husband or wife), and four combinations of internalizing and externalizing disorders. The final model was moderately predictive of marital violence, with the 5% of women accounting for 18.6% of all cases of marital IPV.

Conclusions
Results from this study advance understanding of pre-marital predictors of IPV within current marriages, including the importance of considering differences in the experiences of partners prior to marriage and may provide a foundation for more targeted primary prevention efforts.
URI: https://scholarhub.balamand.edu.lb/handle/uob/5479
ISSN: 09337954
DOI: 10.1007/s00127-019-01703-z
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Faculty of Medicine

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