Skip to main content
American Journal of Public Health logoLink to American Journal of Public Health
. 2009 Dec;99(12):2182–2184. doi: 10.2105/AJPH.2008.139535

Comparisons of Intimate Partner Violence Among Partners in Same-Sex and Opposite-Sex Relationships in the United States

John R Blosnich 1,, Robert M Bossarte 1
PMCID: PMC2775776  PMID: 19834003

Abstract

Using 2005–2007 Behavioral Risk Factor Surveillance System data, we examined intimate partner violence (IPV) by same-sex and opposite-sex relationships and by Metropolitan Statistical Area status. Same-sex victims differed from opposite-sex victims in some forms of IPV prevalence, and urban same-sex victims had increased odds of poor self-perceived health status (adjusted odds ratio = 2.41; 95% confidence interval = 1.17, 4.94). Same-sex and opposite-sex victims experienced similar poor health outcomes, underscoring the need both of inclusive service provision and consideration of sexual orientation in population-based research.


Intimate partner violence (IPV) remains a significant public health problem, but IPV in same-sex relationships is not universally acknowledged, thus inhibiting treatment of its victims.1,2 Reasons for this disparate acknowledgment range from lack of statutes in some jurisdictions legitimizing same-sex relationships to perceptions that deemphasize the severity of same-sex IPV.3,4 Previous studies have found higher rates of same-sex IPV than of opposite-sex IPV.5,6 However, few studies have explored whether these higher IPV rates disproportionately affect health outcomes among victims of same-sex IPV. Additionally, research has shown urban–rural differences in the severity of IPV,7,8 but none has examined how these differences affect same-sex IPV victims.

Using population-based data, we examined the prevalence of different forms of IPV among same-sex and opposite-sex victims and differences in health and quality-of-life indicators by place of residence (Metropolitan Statistical Area vs non–Metropolitan Statistical Area, hereafter referred to as urban and rural areas, respectively).

METHODS

We obtained cross-sectional data from the 2005–2007 Behavioral Risk Factor Surveillance System survey, collected annually from a nationally representative sample of adults in US states and territories. The median response rates for the years 2005, 2006, and 2007 were 51.1%, 51.4%, and 50.6%, respectively.9

Data on IPV victimization came from an optional IPV module that was administered in 12 states and territories in 2005, 8 states and territories in 2006, and 4 states and territories in 2007. The analyses presented here included respondents who indicated that they were victims of IPV and identified their relationships with the perpetrators (n = 561 for 2005; n = 5445 for 2006; and n = 1992 for 2007). IPV victimization included lifetime verbal abuse, physical violence, and unwanted sexual intercourse.

In 2005, response options for relationships included boyfriend (current or former), girlfriend (current or former), male (date), female (date), husband or male live-in partner (current or former), and wife or female live-in partner (current or former). In 2006 and 2007, response options for fiancé or fiancée and dating history (currently dating or first date) were added. Same-sex couples were identified by matching the respondent's sex with the identified sex of the IPV perpetrator. Independent samples of male and female victims of same-sex IPV were determined to be too small for analytic purposes and were combined to form a single same-sex category.

Outcome measures included 7 or more days of poor mental health in the past 30 days, fair or poor self-reported health status, and low satisfaction with life. Female victims of opposite-sex IPV were used as the reference category because of their predominance in our sample. Control variables included activity limitations due to health problems, age, race/ethnicity, education, and income. Because of different rates of IPV severity in urban and rural areas, the higher prevalence of female same-sex victimization in urban than in rural areas, and a significant interaction between same-sex IPV victimization and rural residency for poor self-perceived health status identified in preliminary analyses (odds ratio [OR] = 0.27; 95% confidence interval [CI] = 0.09, 0.86), separate regression models were calculated for the full analytic sample, for urban areas, and for rural areas. Final weighted analyses were computed with SAS version 9.13 (SAS Institute Inc, Cary, North Carolina) and SUDAAN version 9.01 (Research Triangle Institute, Research Triangle Park, North Carolina). We managed missing data using listwise deletion.

RESULTS

Although male victims of same-sex IPV reported more verbal abuse than male victims of opposite-sex IPV (χ2 = 4.75; P = .03), they did not differ significantly regarding physical abuse (χ2 = 1.27; P = .26) or sexual abuse (χ2 = 3.52; P = .06). Female victims of same-sex IPV and opposite-sex IPV did not differ by type of IPV, but differences between female victims of same-sex IPV and male victims of opposite-sex IPV were identified (Table 1).

TABLE 1.

Prevalence of Intimate Partner Violence (IPV) in Same-Sex and Opposite-Sex Relationships: Behavioral Risk Factor Surveillance System, 2005–2007

Victims of Male Perpetrators
Victims of Female Perpetrators
Men (n = 88), No. (%) Women (n = 6139), No. (%) Men (n = 1686), No. (%) Women (n = 85), No. (%)
Type of IPV
    Verbal 67 (81.2) 4817 (77.4) 1038 (63.4) 67 (86.5)*
    Physical 80 (89.9) 5524 (88.8) 1619 (97.2) 78 (89.1)
    Sexual 25 (31.4) 2694 (45.5) 179 (12.1) 40 (51.6)*
Living in rural area 44 (26.7) 2600 (27.9) 714 (23.9) 24 (12.1)*
*

P < .05 for χ2 comparisons between male and female victims in perpetrator category.

Overall, there were no differences in health and quality-of-life outcomes between same-sex and opposite-sex IPV victims; in urban areas, however, same-sex victims were more than twice as likely as were female opposite-sex victims to report poor self-perceived health status (Table 2). Male opposite-sex IPV victims were less likely to report more than 7 days of poor mental health in the past 30 days than female opposite-sex IPV victims, although this could be an artifact of underreporting by males.10

TABLE 2.

Health Indicators Among Victims of Same-Sex and Opposite-Sex Intimate Partner Violence, by Residency: Behavioral Risk Factor Surveillance System, 2005–2007

Overall
Urban Residency
Rural Residency
Intimate Partner Violence % AOR (95% CI) % AOR (95% CI) % AOR (95% CI)
More than 7 d of poor mental health in past 30 d
Same sex 44.6 1.68 (0.93, 3.05) 43.8 1.85 (0.89, 3.87) 47.6 1.24 (0.61, 2.56)
Male victim, female perpetrator 23.3 0.61* (0.47, 0.81) 22.5 0.62* (0.43, 0.87) 25.1 0.61* (0.42, 0.87)
Female victim, male perpetrator (Ref) 33.7 1.00 32.5 1.00 36.8 1.00
Poor self-perceived health status
Same sex 79.0 1.46 (0.82, 2.59) 84.1a 2.41* (1.17, 4.94) 58.3 0.59 (0.23, 1.53)
Male victim, female perpetrator 83.5 1.34 (0.90, 1.99) 84.2 1.32 (0.79, 2.19) 81.8 1.39 (0.97, 1.99)
Female victim, male perpetrator (Ref) 77.0 1.00 78.4b 1.00 73.5 1.00
Low satisfaction with life
Same sex 85.0 1.32 (0.60, 2.92) 85.8 1.27 (0.44, 3.70) 81.7 1.20 (0.39, 3.63)
Male victim, female perpetrator 85.6 0.91 (0.66, 1.26) 86.2 0.92 (0.60, 1.41) 85.0 0.95 (0.64, 1.42)
Female victim, male perpetrator (Ref) 85.8 1.00 86.6 1.00 83.9 1.00

Note. AOR = adjusted odds ratio; CI = confidence interval. Data are adjusted for age, race/ethnicity (White, African American, Hispanic, multiple race, and other), education, income, and activity limitations because of health problems. “Urban residency” and “rural residency” are defined as living inside and outside of a Metropolitan Statistical Area, respectively.

a

χ2 = 3.42; P = .064 (compared with rural residency).

b

χ2 = 7.86; P = .005 (compared with rural residency).

*

P < .05.

DISCUSSION

Unlike Tjaden et al.,5 we found no differences among females in type of victimization between same-sex and opposite-sex IPV, and no differences in physical and sexual abuse for male same-sex and opposite-sex victims; detection of the latter may have been affected by small sample sizes. When examined across perpetrator categories (Table 1), female victims of same-sex IPV reported higher percentages of verbal and sexual abuse than male victims of opposite-sex IPV; however, the small sample of victims of same-sex IPV limited the ability to make detailed comparisons.

We note important limitations. First, because of small sample sizes, male and female victims of same-sex IPV were combined, which precluded exploration of potential differences. Future studies should include male and female categories of same-sex IPV. Second, the small 2005 sample could be a result of survey procedures in which only participants who reported being a victim of IPV in the past 12 months were asked to identify their relationships with the perpetrators; in 2006 and 2007, all respondents to the IPV module were given an opportunity to do so. Additionally, this analysis used a behaviorally deduced measure of sexual orientation; participants did not report their sexual identity. Finally, the delicacy of self-reported violence victimization presents potential underreporting and selection bias.

Although similar patterns of victimization were reported, victims of same-sex IPV and of opposite-sex IPV differed by some types of IPV. However, the lesbian, gay, bisexual, transgender, and transsexual community may still face service-related and legal challenges that limit recognition of IPV victimization.1,2 Location-associated effects on health outcomes among victims of same-sex IPV warrant further research, particularly among rural victims. Moreover, the differences in prevalence of types of IPV among same-sex and opposite-sex victims call for consideration of sexual orientation in population-based research to better explore these nuances. Finally, similarities in health outcomes among victims of same-sex and opposite-sex IPV underscore the importance of providing inclusive victims' services.

Acknowledgments

This study was supported by the Injury Control Research Center at West Virginia University (Centers for Disease Control and Prevention grant 5R49CE001170-02). R. M. Bossarte was also supported by the American Foundation for Suicide Prevention.

We thank Ekta Choudhary for her statistical and editorial assistance.

Human Participant Protection

No protocol approval was needed for this study.

References

  • 1.Leventhal B, Lundy SE. Same-Sex Domestic Violence: Strategies for Change Thousand Oaks, CA: Sage Publications Inc; 1999 [Google Scholar]
  • 2.Potoczniak MJ, Mourot JE, Crosbie-Burnett M, Potoczniak DJ. Legal and psychological perspectives on same-sex domestic violence: a multisystemic approach. J Fam Psychol 2003;17(2):252–259 [DOI] [PubMed] [Google Scholar]
  • 3.Burke LK, Follingstad DR. Violence in lesbian and gay relationships: theory, prevalence, and correlational factors. Clin Psychol Rev 1999;19(5):487–512 [DOI] [PubMed] [Google Scholar]
  • 4.Merrill GS. Ruling the exceptions: same-sex battering and domestic violence theory. : Renzetti CM, Miley CH, Violence in Gay and Lesbian Domestic Partnerships New York, NY: Haworth Press; 1996:9–22 [Google Scholar]
  • 5.Tjaden P, Thoennes N, Allison CJ. Comparing violence over the life span in samples of same-sex and opposite-sex cohabitants. Violence Vict 1999;14(4):413–425 [PubMed] [Google Scholar]
  • 6.Greenwood GL, Relf MV, Huang B, Pollack LM, Canchola JA, Catania JA. Battering victimization among a probability-based sample of men who have sex with men. Am J Public Health 2002;92(12):1964–1969 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Catalano S; Bureau of Justice Statistics Intimate partner violence in the United States. Available at: http://www.ojp.usdoj.gov/bjs/intimate/ipv.htm. Accessed January 14, 2009
  • 8.Gallup-Black A. Twenty years of rural and urban trends in family and intimate partner homicide: does place matter? Homicide Stud 2005;9(2):149–173 [Google Scholar]
  • 9.Centers for Disease Control and Prevention. About the BRFSS. Available at: http://www.cdc.gov/brfss/about.htm. Accessed September 15, 2008.
  • 10.Courtenay WH. Key determinants of the health and well-being of men and boys. Int J Mens Health 2003;2(1):1–30 [Google Scholar]

Articles from American Journal of Public Health are provided here courtesy of American Public Health Association

RESOURCES