Barros, H.

Cervilla, J.

Costa, D.

Degomme, O.

Hatzidimitriadou, E.

Ioannidi-Kapolou, E.

Lindert, J.

Soares, J.

Sundin, O.

Toth, O.

English

Canterbury Research and Theses Environment

Evidence for a gender effect in the impact of intimate partner violence victimization on health-related quality of life  INTRODUCTION The effect of intimate partner violence (IPV) on Health-related Quality of Life has been extensively studied in female victims. However, though males are also frequent victims of IPV no such information is available. AIM  To test in a sample of the European general population the presence of gender differences on how IPV impacts health-related quality of life.  METHODS Random samples of non-institutionalized adult (18-64 years) men (n=1646) and women (n=2233), residing in  8 European cities (Granada, Gent, Porto, Ostersund, Stuttgart, London, Athens and Budapest) were evaluated. Violent acts assessed by the Revised Conflict Tactics Scales were coded to provide past year prevalence for each type of violence (psychological, physical, sexual coercion and injury). When all items were answered with 0 (“This has never happened”), participants were coded as non-cases, and as a case otherwise. A variable was coded to express the severity level (as described by the original scale author in minor and severe acts) for all types of violent sustained in the past year, and used as independent variable: no violence, minor acts, severe acts. The eight original dimensions of the SF-36 were coded and t-scored to range from 100 to zero (mean=50, standard deviation=10).  The mental (MCS-36) and physical component summary (PCS-36) scores were derived from the eight scales of the SF-36 using principal components analysis with varimax rotation. Higher scores represent better health-related quality-of-life. General linear models were computed to estimate marginal means of summary components extracted from the SF-36 by violence severity and to test sex interactions. Models were adjusted for country, age and education. Differences in the impact of IPV on the SF-36 summary component scores (Mental and Physical) were expressed as unstandardized betas (Standard Error) according to gender. Costa D1,2,  Soares J3,4, Lindert J5,  Hatzidimitriadou E6, Sundin O7, Toth O8, Ioannidi-Kapolo E9, Degomme O10, Cervilla J11, Barros H1,2.  *dmcosta@med.up.pt www.ispup.up.pt  1Dept Clinical Epidemiology, Predictive Medicine and  Public Health University of Porto Medical School, Porto, Portugal 2Institute of Public Health of the University of Porto,  Porto, Portugal 3 Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden  4 Institution for Health Sciences, Department of Public Health Sciences, Mid Sweden University, Sundsvall, Sweden 5 Department of Public Health, Protestant University of Applied Sciences Ludwigsburg, Ludwigsburg, Germany and Department for medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany 6 Faculty of Health and Social Care Sciences, Kingston University and St George's, University of London, London, United Kingdom 7 Division of Psychology, Department of Social Sciences, Mid Sweden University, Östersund, Sweden 8 Institute of Sociology, Hungarian Academy of Sciences, Budapest, Hungary 9 Department of Sociology, National School of Public Health Athens, Athens, Greece 10 International Centre for Reproductive Health (ICRH), Ghent University, Ghent, Belgium 11 Departmental Section of Psychiatry and Psychological Medicine, University of Granada, Granada, Spain  Funding: This work was supported by the Executive Agency for Health and Consumers – European Commission [contract: 20081310] and by the Portuguese Foundation for Science and Technology: SFRH/BD/66388/2009 Porto, 5-8 September 2012  Epidemiology for a  fair and healthy society CONCLUSION Intimate partner violence influences health-related quality of life in men and women, the impact being more pronounced in the Mental Health of women.  General Linear Model for summary components of the SF-36 by violence severity in the past year 5060708090100Physical Function Role Physical Bodily Pain General Health Vitality Social Function Role Emotional Mental Health5060708090100Physical Function Role Physical Bodily Pain General Health Vitality Social Function Role Emotional Mental HealthMental Health p-value  for sex interaction Physical Health p-value  for sex interaction Women Beta (SE) Men Beta (SE) Women Beta (SE) Men Beta (SE) Model 0 No violence Ref Ref <0.001 Ref Ref <0.001 Minor -1.525 (0.49) -1.574 (0.54) 1.146 (0.50) 1.263 (0.53) Severe -5.672 (0.62) -2.994 (0.62) -0.530 (0.62)ns 1.186 (0.62) ns Model 1 No violence Ref Ref <0.001 Ref Ref <0.001 Minor -1.485 (0.50) -1.563 (0.54) 0.940 (0.50) ns 1.199 (0.53) Severe -5.915 (0.63) -3.051 (0.64) -0.567 (0.63) ns 1.193 (0.64) ns Model 2 No violence Ref Ref <0.001 Ref Ref <0.001 Minor -1.210 (0.51) -1.622 (0.54) -0.100 (0.48) ns 0.735 (0.50) ns Severe -5.511 (0.64) -2.924 (0.65) -1.230 (0.61) 0.431 (0.60) ns Model 3 No violence Ref Ref <0.001 Ref Ref <0.001 Minor -1.049 (0.51) -1.293 (0.55) 0.076 (0.50) ns 0.787 (0.52) ns Severe -4.182 (0.66) -1.772 (0.68) -0.917 (0.65) ns 0.732 (0.64) ns Mean score and 95% confidence intervals for the eight SF-36 dimensions according to violence severity among men and women.   ns= non-significant; Model 1: adjusted for country; Model 2: adjusted for country, age and education; Model 3: Adjusted for country, age, education and exposure to child abuse.   Men Women RESULTS European cities represented in the study Sample size:  Granada: 138 Gent: 245 Porto: 632 Ostersund: 594 Stuttgart: 546 London: 571 Athens: 548 Budapest: 604  

Evidence of a gender effect in the impact of Intimate Partner Violence victimisation on health-related quality of life

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Evidence of a gender effect in the impact of Intimate Partner Violence victimisation on health-related quality of life

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