Literature DB >> 30993376

Pre-marital predictors of marital violence in the WHO World Mental Health (WMH) Surveys.

Cara M Stokes1,2,3,4, Jordi Alonso5,6,7, Laura Helena Andrade8, Lukoye Atwoli9,10, Graça Cardoso11, Wai Tat Chiu12, Rumyana V Dinolova13, Oye Gureje14, Aimee N Karam15, Elie G Karam15,16,17, Ronald C Kessler12, Somnath Chatterji18, Andrew King12, Sing Lee19, Zeina Mneimneh20, Bibilola D Oladeji21,22, Maria Petukhova12, Charlene Rapsey23, Nancy A Sampson12, Kate Scott23, Amy Street24, Maria Carmen Viana25, Michelle A Williams26, Robert M Bossarte27,28,29.   

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.

Entities:  

Keywords:  Epidemiology; International; Intimate partner violence; Mental health; Predictive modeling

Mesh:

Year:  2019        PMID: 30993376      PMCID: PMC7410347          DOI: 10.1007/s00127-019-01703-z

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  20 in total

1.  Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys.

Authors:  Ronald C Kessler; Katie A McLaughlin; Jennifer Greif Green; Michael J Gruber; Nancy A Sampson; Alan M Zaslavsky; Sergio Aguilar-Gaxiola; Ali Obaid Alhamzawi; Jordi Alonso; Matthias Angermeyer; Corina Benjet; Evelyn Bromet; Somnath Chatterji; Giovanni de Girolamo; Koen Demyttenaere; John Fayyad; Silvia Florescu; Gilad Gal; Oye Gureje; Josep Maria Haro; Chi-Yi Hu; Elie G Karam; Norito Kawakami; Sing Lee; Jean-Pierre Lépine; Johan Ormel; José Posada-Villa; Rajesh Sagar; Adley Tsang; T Bedirhan Ustün; Svetlozar Vassilev; Maria Carmen Viana; David R Williams
Journal:  Br J Psychiatry       Date:  2010-11       Impact factor: 9.319

2.  Global health. The global prevalence of intimate partner violence against women.

Authors:  K M Devries; J Y T Mak; C García-Moreno; M Petzold; J C Child; G Falder; S Lim; L J Bacchus; R E Engell; L Rosenfeld; C Pallitto; T Vos; N Abrahams; C H Watts
Journal:  Science       Date:  2013-06-20       Impact factor: 47.728

3.  Prevalence of intimate partner violence: findings from the WHO multi-country study on women's health and domestic violence.

Authors:  Claudia Garcia-Moreno; Henrica A F M Jansen; Mary Ellsberg; Lori Heise; Charlotte H Watts
Journal:  Lancet       Date:  2006-10-07       Impact factor: 79.321

4.  Witness of intimate partner violence in childhood and perpetration of intimate partner violence in adulthood.

Authors:  Andrea L Roberts; Stephen E Gilman; Garrett Fitzmaurice; Michele R Decker; Karestan C Koenen
Journal:  Epidemiology       Date:  2010-11       Impact factor: 4.822

Review 5.  Violence against women: global scope and magnitude.

Authors:  Charlotte Watts; Cathy Zimmerman
Journal:  Lancet       Date:  2002-04-06       Impact factor: 79.321

6.  A Systematic Review of Risk Factors for Intimate Partner Violence.

Authors:  Deborah M Capaldi; Naomi B Knoble; Joann Wu Shortt; Hyoun K Kim
Journal:  Partner Abuse       Date:  2012-04

7.  Mental disorders and termination of education in high-income and low- and middle-income countries: epidemiological study.

Authors:  S Lee; A Tsang; J Breslau; S Aguilar-Gaxiola; M Angermeyer; G Borges; E Bromet; R Bruffaerts; G de Girolamo; J Fayyad; O Gureje; J M Haro; N Kawakami; D Levinson; M A Oakley Browne; J Ormel; J Posada-Villa; D R Williams; R C Kessler
Journal:  Br J Psychiatry       Date:  2009-05       Impact factor: 9.319

8.  Prevalence of and factors associated with male perpetration of intimate partner violence: findings from the UN Multi-country Cross-sectional Study on Men and Violence in Asia and the Pacific.

Authors:  Emma Fulu; Rachel Jewkes; Tim Roselli; Claudia Garcia-Moreno
Journal:  Lancet Glob Health       Date:  2013-09-10       Impact factor: 26.763

9.  Men's Aggression Toward Women: A 10-Year Panel Study.

Authors:  Hyoun K Kim; Heidemarie K Laurent; Deborah M Capaldi; Alan Feingold
Journal:  J Marriage Fam       Date:  2008-12

10.  Childhood adversities and first onset of psychiatric disorders in a national sample of US adolescents.

Authors:  Katie A McLaughlin; Jennifer Greif Green; Michael J Gruber; Nancy A Sampson; Alan M Zaslavsky; Ronald C Kessler
Journal:  Arch Gen Psychiatry       Date:  2012-11
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  1 in total

1.  Association of prior depressive symptoms and suicide attempts with subsequent victimization: analysis of population-based data from the Adult Psychiatric Morbidity Survey.

Authors:  Vishal Bhavsar; Stephani L Hatch; Kimberlie Dean; Sally McManus
Journal:  Eur Psychiatry       Date:  2020-05-20       Impact factor: 5.361

  1 in total

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