Literature DB >> 29749299

Dyadic Reporting of Intimate Partner Violence Among Male Couples in Three U.S. Cities.

Nicolas A Suarez1,2, Matthew J Mimiaga3,4,5,6, Robert Garofalo7,8, Emily Brown6, Anna Marie Bratcher9, Taylor Wimbly9, Marco A Hidalgo10,11, Samuel Hoehnle7,8, Jennie Thai7, Erin Kahle2,12, Patrick S Sullivan9, Rob Stephenson2,12.   

Abstract

Intimate partner violence (IPV) is a prevalent and pressing public health concern that affects people of all gender and sexual identities. Though studies have identified that male couples may experience IPV at rates as high as or higher than women in heterosexual partnerships, the body of literature addressing this population is still nascent. This study recruited 160 male-male couples in Atlanta, Boston, and Chicago to independently complete individual surveys measuring demographic information, partner violence experience and perpetration, and individual and relationship characteristics that may shape the experience of violence. Forty-six percent of respondents reported experiencing IPV in the past year. Internalized homophobia significantly increased the risk for reporting experiencing, perpetrating, or both for any type of IPV. This study is the first to independently gather data on IPV from both members of male dyads and indicates an association between internalized homophobia and risk for IPV among male couples. The results highlight the unique experiences of IPV in male-male couples and call for further research and programmatic attention to address the exorbitant levels of IPV experienced within some of these partnerships.

Entities:  

Keywords:  Intimate partner violence; internalized homophobia; men who have sex with men

Mesh:

Year:  2018        PMID: 29749299      PMCID: PMC6131425          DOI: 10.1177/1557988318774243

Source DB:  PubMed          Journal:  Am J Mens Health        ISSN: 1557-9883


Intimate partner violence (IPV) is a prevalent public health concern that affects people of all genders and sexual orientations. Though the focus of violence research has typically been on females experiencing violence from male perpetrators in heterosexual couples (Finneran & Stephenson, 2013; Kubicek, McNeeley, & Collins, 2015), recent studies have reported prevalence rates of IPV among men who have sex with men (MSM) comparable to those of heterosexual women (Carvalho, Lewis, Derlega, Winstead, & Viggiano, 2011; Davis et al., 2015; Feldman, Ream, Díaz, & El-Bassel, 2008; Houston & McKirnan, 2007; Stephenson, Rentsch, Salazar, & Sullivan, 2011). IPV refers to emotional, physical, or sexual violence between romantic or sexual partners (Davis et al., 2015; Kubicek et al., 2015) and may extend beyond physical and sexual violence to include monitoring and controlling behaviors (Stephenson & Finneran, 2013). Estimates for IPV prevalence in same-sex male relationships cover a wide range between 12% and 78% (Finneran & Stephenson, 2013; Greenwood et al., 2002; Houston & McKirnan, 2007; Kubicek et al., 2015; Stephenson, Rentsch et al., 2011; Stephenson, Sato, & Finneran, 2013). A study by Stephenson and associates (Stephenson, Rentsch et al., 2011) identified varying rates for specific types of IPV, with 33% of men experiencing emotional IPV, 23% physical IPV, and 10% sexual IPV. Collectively, these findings highlight alarmingly high rates of IPV among male couples and a pressing need for greater research and intervention efforts. There is a wealth of evidence linking dyadic characteristics and relationship factors to the experience of IPV in heterosexual relationships. Partner’s age negatively correlates with prevalence of IPV, while other partner characteristics such as dyadic differences in education level may contribute to increased violence in heterosexual couples (Kim, Laurent, Capaldi, & Feingold, 2008; Rodriguez, Lasch, Chandra, & Lee, 2001; Stephenson et al., 2013). Younger heterosexual couples tend to exhibit higher rates of violence than do older partnerships, an outcome that may have roots in childhood experiences of violence, bullying, and harassment (Capaldi & Langhinrichsen-Rohling, 2012). Only very recently has IPV research begun to examine dyadic and relationship factors as correlates of IPV in same-sex male couples. In recent research among this group, age has been reported to be a significant factor in IPV—with violence decreasing with age and having an older partner reducing the risk of experiencing violence (Stephenson et al., 2013). It has been suggested that for male–male couples, age differences may influence IPV through an older partner’s assertions of dominance and control over the younger partner (Goldenberg, Stephenson, Freeland, Finneran, & Hadley, 2016). Financial stress, depression, and alcohol and drug use in relationships are also correlates of IPV for both heterosexual couples and same-sex male and female couples (Carvalho et al., 2011; Goldenberg et al., 2016; Leone, Crane, Parrott, & Eckhardt, 2016; Stall et al., 2003; Stephenson, Rentsch et al., 2011; Stephenson et al., 2013). Substance use has long been identified to be a significant factor in violence among heterosexual couples (Leone et al., 2016) and more recently in male couples (Goldenberg et al., 2016; Stall et al., 2003; Stults, Javdani, Greenbaum, Kapadia, & Halkitis, 2015). As has been recognized in heterosexual couples, differences in financial wealth and security may result in financial dependence or relational power dynamics that increases the risk of violence among male couples (Goldenberg et al., 2016). Emerging evidence suggests that IPV precipitants specific to male–male couples may include inter-partner differences in degree of “outness” (i.e., public recognition or disclosure of their sexuality), a difference that may precipitate bidirectional violence as well as creating a power imbalance where the “out” partner may threaten to disclose his partner’s sexual orientation and lead to further violence (Goldenberg et al., 2016). IPV is a complex health risk that is affected by myriad individual and demographic characteristics in tandem with partner attributes and relationship quality factors. Studies of IPV among same-sex male couples have generally ignored dyadic factors and examined IPV as a factor associated with sexual risk-taking behaviors and drug use (Chakravarty, Hoff, Neilands, & Darbes, 2012; Davis et al., 2015; Feldman et al., 2008; Stall et al., 2003; Stephenson, de Voux, & Sullivan, 2011; Stults et al., 2015; White & Stephenson, 2016) rather than taking a broader scope to examine factors that affect the risk for IPV. The few studies that have incorporated dyadic data are based on reports from only one partner (Stephenson, Rentsch et al., 2011; Stephenson et al., 2013). The current study aims to fill gaps in the literature (a lack of comprehensive dyadic studies that include reporting from both members) on partner violence among same-sex male couples by examining a wide range of individual and dyadic factors being reported by both members of the couple. Through this analysis, the researchers aim to identify the individual and dyadic factors that influence IPV among male couples.

Methods

The data reported in this article come from the baseline survey of the project Stronger Together, an ongoing randomized control trial of sero-discordant, same-sex male couples in Atlanta, Boston, and Chicago (ClinicalTrials.org reference # NCT01772992). Self-identified gay or bisexual male (GBM) couples were recruited through online and in-person outreach efforts. Study recruitment was facilitated through the Facebook, Twitter, Scruff, Grindr, and social marketing campaigns of the sites conducting the intervention. Flyers and posters were displayed in the sites and local gay-targeted venues, and information on the study was displayed at the HIV testing check-in at each site. Inclusion criteria were: at least 18 years old; had been in a partnership for at least 1 month; had been residents of metro Atlanta, Boston, or Chicago for at least 3 months; and not in a known sero-concordant positive relationship. Those who presented for participation in the trial completed informed consent documentation before taking the baseline survey. Of the 411 individuals who presented for participation and completed the check-in survey, 398 consented and were eligible to take the baseline survey (96.8%). Of the 398 participants who completed the baseline survey, 78 participants were purposefully excluded from analysis due to missing responses on HIV status, IPV, and demographic characteristics. A total of 320 participants were included in the analysis. Couples presented together, but each member of the couple took the baseline survey independently in separate rooms. Data were analyzed as individuals and compared to the partner’s responses. For example, partner A answered his experience of IPV and perpetration, and these answers were compared to partner B’s answers to the same questions. A description of the protocol for the full study can be found in Stephenson et al. (2017). Approval for this study was obtained from the (University) Institutional Review Boards. Individual characteristics measured included age, race/ethnicity, sexual orientation, HIV status, employment status, education level, arrest history, internalized homophobia, drug and alcohol use, and depression. Controlling for these characteristics, this study analyzed factors associated with IPV. IPV was measured using the IPV among Gay and Bisexual Men (IPV-GBM) scale, a validated scale with high reliability (Cronbach’s α > 0.78) adapted from the Conflict Tactics Scale to more accurately measure IPV among gay and bisexual men (Stephenson & Finneran, 2013). The scale encompasses five types of IPV: physical and sexual (including hitting partner and rape), emotional (such as criticizing clothes), controlling (preventing seeing family or friends), monitoring (reading emails and text messages), and HIV-related IPV (lying about HIV status and intentional transmission of HIV). The scale measured experience of IPV by asking participants to rate how often their partner perpetrated IPV against them, and how often they perpetrated IPV against their partner. Responses to these questions were used to determine prevalence of past-year experience of IPV, perpetration, and both experiencing and perpetrating. The analysis explored individual and dyadic factors that have been identified in partner violence in heterosexual partnerships as well as factors unique to MSM that may be potential correlates of IPV. The survey employed the 20-item subset of the Gay Identity Scale developed by Brady and Busse (1994) to measure the prevalence of internalized homophobia among respondents. This scale has proven reliability with Cronbach’s α of 0.84 (Meyer, Frost, Navarez, & Dietrich, 2006). Responses were translated into continuous total scores on the scale and a binary variable for whether respondents scored in the top 20th percentile to focus on respondents who report the highest degrees of internalized homophobia. Depression was measured using the short form Center for Epidemiologic Studies – Depression (CES-D) 11 Iowa depression scale, a validated scale derived from the original 20-item CES-D scale (Cronbach’s α = 0.81; Carpenter et al., 1998; Kohout, Berkman, Evans, & Cornoni-Huntley, 1993). Responses were analyzed as continuous variables of the total score and as a binary whether or not participants presented symptoms of clinical depression (defined as scoring 8 or higher on the scale; Carpenter, Fowler, Maxwell, & Andersen, 2010). Poly-drug use and binge drinking behavior (i.e., having more than six drinks on one occasion) were measured using behavioral self-reports in response to questions asking about past-year binge-drinking frequency (Peacock, Andrinopoulos, & Hembling, 2015; Rowe, Liou, Vittinghoff, Coffin, & Santos, 2016; Santos, Jin, & Raymond, 2015) and use of various club drugs, injection drugs, inhalants, and hallucinogens. For analysis, binge drinking was restricted to at least once a month, and poly-drug use was coded as a binary of using at least three of the drugs listed (Daskalopoulou et al., 2014; Yu, Wall, Chiasson, & Hirshfield, 2015). The Communications Patterns Questionnaire short form assessed the degree to which participants use constructive communication behaviors when a problem with their partner arises (Heavey, Larson, Zumtobel, & Christensen, 1996). Responses were analyzed categorically in reference to the partner; looking at who scored higher on the scale (i.e., who more frequently used constructive communication behaviors). This scale has demonstrated reliability with Cronbach’s α > 0.81 (Heavey et al., 1996). Perceptions of love within the relationship were measured through a 19-item validated scale examining intimacy, passion, and commitment (Lemieux & Hale, 1999). Dyadic trust was assessed using an 8-item validated scale developed by Larzelere and Huston (1980). Results for both love and trust scales were analyzed for differences between partner’s responses (i.e., respondent scores higher than partner). Both the love and trust scales have demonstrated reliability with Cronbach’s α > 0.78 for both scales. In order to assess dyadic quality, the survey included the 32-item validated Dyadic Adjustment Scale examining dyadic satisfaction, dyadic cohesion, dyadic consensus, and affectional expression wherein higher scores indicate higher degrees of these characteristics (Spanier, 1976). This scale has demonstrated reliability with Cronbach’s α = 0.96 (Spanier, 1976). Scores were interpreted as differences between partners’ responses. Additional variables of interest included age (continuous and comparatively between partners), race (White, Black, multiracial/other, and being in an interracial relationship), sexual orientation (partners have concordant or discordant orientations), highest education level (high school, some college, college or higher), employment status, arrest history, HIV status, and cohabitation. Prevalence ratios with 95% confidence interval for past-year experience of IPV, perpetration of IPV, and both experience and perpetration were calculated with a Poisson model using Generalized Estimated Equations (GEE), with a robust standard error via the GENMOD procedure in SAS 9.4 (Barros & Hirakata, 2003; Zou, 2004). Unadjusted prevalence ratios of any type of IPV were investigated in Table 4. This model underwent stepwise regression to adjust for confounding variables, and a final, reduced model with adjusted prevalence ratios (PRs) was generated (Table 5).
Table 4.

Poisson General Estimated Equations With Unadjusted Prevalence Ratios (PRs) and 95% Confidence Intervals (CIs) of Any Type of IPV in the Past Year of a Sample of Male Couples (n = 320 Individuals) Recruited From Atlanta, Boston, and Chicago.

Key CovariatesIPV VictimizationPR [95% CI]IPV PerpetrationPR [95% CI]Both Victim and Perpetrator of IPVPR [95% CI]
Age
 Respondent’s age.99 [.98, 1] .99 [.97, 1.0][a] * .98 [.96, .99]a***
 Respondent is older than partner.7 [.48, 1.01].8 [.58, 1.11] .61 [.38, .98]a*
 Partner is older than respondent.86 [.62, 1.18].74 [.52, 1.04].69 [.44, 1.07]
Race/ethnicity
 Black/African American.76 [.49, 1.18].73 [.47, 1.13].74 [.42, 1.3]
 Multiracial/other.96 [.65, 1.43].86 [.57, 1.31]1.05 [.65, 1.7]
 In an interracial relationship.93 [.71, 1.22].99 [.77, 1.29]1.03 [.73, 1.44]
Sexual orientation
 Discordant orientation.91 [.65, 1.29] .66 [.44, .99]a* .83 [.53, 1.31]
Highest education level
 High school or less1.55 [.99, 2.41]1.14 [.68, 1.9]1.69 [.91, 3.12]
 College or higher1.25 [.91, 1.72]1.22 [.9, 1.66]1.46 [.95, 2.24]
Employment status
 Employed or student1.24 [.78, 1.97]1.08 [.72, 1.63]1.22 [.69, 2.18]
Arrest history
 Ever arrested1.19 [.93, 1.53]1.15 [.9, 1.47]1.18 [.85, 1.63]
HIV status
 Respondent only is positive.94 [.67, 1.32].82 [.58, 1.16].8 [.5, 1.25]
 Partner only is positive.9 [.63, 1.28] .62 [.41, .95]a* .53 [.3, .95]a*
Drug use
 Both partners use 1.43 [1.02, 2.01]* 1.39 [.99, 1.94] 1.6 [1.04, 2.45]a*
 Respondent only uses1.09 [.73, 1.62]1.06 [.71, 1.57]1.1 [.66, 1.84]
 Partner only uses1.16 [.8, 1.69]1.2 [.84, 1.71]1.2 [.74, 1.95]
Binge drinking
 Both binge drink1.11 [.73, 1.67].83 [.57, 1.21].81 [.49, 1.33]
 Neither partner binge drinks1.02 [.7, 1.5].9 [.65, 1.23].85 [.55, 1.31]
 Partner only binge drinks1.4 [.93, 2.11].92 [.62, 1.37]1.11 [.68, 1.82]
Depression
 Score on CES-D Scale1.02 [1.0, 1.05]1.02 [1.0, 1.05]1.03 [.99, 1.06]
Internalized homophobia
 Individual score on IH scale1.01 [1.0, 1.02]1.01 [1.0, 1.02]1.01 [1.0, 1.03]
 Both in top 20%.65 [.42, 1.02].68 [.43, 1.07].71 [.41, 1.22]
 Neither partner in top 20% .59 [.46, .77]a*** .62 [.47, .8]a*** .54 [.38, .76]a***
 Partner only in top 20% .56 [.36, .87]a*** .77 [.5, 1.11] .57 [.33, .99]a*
Cohabitation
 Respondents are not cohabitating .63 [.45, .89]a*** .67 [.48, .93]a* .74 [.49, 1.1]
Love scale
 No difference in love score.82 [.45, 1.5] .44 [.2, .98]a* .52 [.21, 1.32]
 Partner reports higher love 1.3 [1.01, 1.67]* 1.07 [.85, 1.35]1.21 [.89, 1.66]
Trust scale
 No difference in trust score.85 [.49, 1.48]1.17 [.76, 1.83].92 [.47, 1.79]
 Partner reports higher trust1.11 [.87, 1.42]1.19 [.93, 1.52]1.15 [.84, 1.58]
Communication patterns scale
 No difference in score1.08 [.66, 1.76]1.06 [.65, 1.73]1.01 [.52, 1.94]
 Partner scores higher1.16 [.9, 1.49]1.19 [.93, 1.51]1.15 [.84, 1.58]
Dyadic adjustment scale
 No difference in score.76 [.34, 1.73].34 [.09, 1.21].47 [.13, 1.69]
 Partner scores higher1.12 [.88, 1.42].95 [.75, 1.2].93 [.68, 1.27]

Note. Level of significance α = .05.

Values in bold are significant at the 5% level.

p < .05. ***p < .01.

denotes negative relationship.

Table 5.

Poisson General Estimated Equations With Adjusted Prevalence Ratios (PRs) and 95% Confidence Intervals (CIs) of Any Type of IPV in the Past Year of a Sample of Male Couples (n = 320 Individuals) Recruited From Atlanta, Boston, and Chicago.

Key CovariatesIPV VictimizationPR [95% CI]IPV PerpetrationPR [95% CI]Both Victim and Perpetrator of IPVPR [95% CI]
Age
 Respondent’s age .99 [.98, 1.0]a* .98 [.97, .99]a*** .97 [.96, .99]a***
Internalized homophobia
 Both in top 20%1.26 [.82, 1.94]1,27 [.86, 1.9]1.58 [.98, 2.53]
 Respondent only in top 20% 1.67 [1.31, 2.14]*** 1.59 [1.23 2.06]*** 1.79 [1.27, 2.51]***
 Partner only in top 20%.9 [.6, 1.35]1.17 [.85, 1.63].97, [.59, 1.57]
Cohabitation
 Respondents are cohabiting 1.74 [1.23, 2.45]*** 1.68 [1.21, 2.33]*** 1.64 [1.1, 2.45]*

Note. Level of significance α = .05.

Values in bold are significant at the 5% level.

p < .05. ***p < .01.

denotes negative relationship.

Results

Respondents’ individual and relationship characteristics are summarized in Table 1, and dyadic differences are reported in Table 3. The mean age of this sample was 35.9 years (19–69 years). The sample majority (77.5%) was White (248/320), with 12.2% Black (39/320), and 10.3% multiracial (33/320) or other. Less than a third of the sample (28.13%) was in an interracial relationship (90/320), and 39.4% was in an age-discordant relationship (126/320). This sample was mostly highly educated with 68.4% reporting having a college degree or higher (219/320), 24.1% with some college education (77/320), and 7.5% with a high school education or less (24/320). Of the 320 participants, 9.6% reported being unemployed or retired (36/320) and 27.2% reported having been arrested (87/320). Most of the participants self-identified as homosexual or gay (287/320, 89.7%) and 15.6% reported being HIV positive (50/320). Relationship quality measures are noted in Table 2. In the past year, 45.6% of participants reported experiencing IPV of any kind (146/320), with 9.7% reporting physical IPV (31/320); 6.8%, controlling IPV (22/320); 20.3%, monitoring IPV (65/320); and 33.6%, emotional IPV (108/320). All violence reported here is with the respondent’s current intimate partner.
Table 1.

Demographic Characteristics of a Sample of Male Couples (n = 320 individuals) Recruited From Atlanta, Boston, and Chicago.

Individual Respondent DemographicsN (%)
Age
 18–2446 (14.4)
 25–34126 (39.4)
 35–4469 (21.6)
 45+79 (24.7)
Race/ethnicity
 White (Latino & non-Latino)248 (77.5)
 Black/African American (Latino & non-Latino)39 (12.2)
 Multiracial/Other (Latino & non-Latino)33 (10.3)
Sexual orientation
 Homosexual/gay287 (89.7)
 Other33 (10.3)
HIV status
 Negative270 (84.4)
 Positive50 (15.6)
Employment status
 Employed/student338 (90.4)
 Unemployed/retired36 (9.6)
Education level
 High school or less24 (7.5)
 Some college77 (24.1)
 College or higher219 (68.4)
Arrest history
 Ever arrested87 (27.2)
 Never arrested233 (72.8)
Internalized homophobia
 Above 80th percentile66 (20.6)
 Below 80th percentile254 (79.4)
Polydrug use
 Yes58 (18.1)
 No262 (81.9)
Binge drinking
 Yes71 (22.2)
 No249 (77.8)
M (range) SD
Internalized homophobia32.8 (20, 75)9.6
Depression (CES-D scale)5.2 (0, 21)4.4
Relationship logistics N (%)
Relationship length
 Less than 1 year80 (25)
 1–2 years97 (30.3)
 3–5 years57 (17.8)
 6+ years86 (26.9)
Cohabitating276 (73.8)
Sexual agreement type
 No sex with outside partners118 (36.9)
 Sex with outside partners (with restrictions)120 (37.5)
 Sex with outside partners (no restrictions)14 (4.4)
 No agreement68 (21.3)
Table 3.

Dyadic Differences in Individual Characteristics and Demographics of a Sample of Male Couples (n = 160) Recruited From Atlanta, Boston, and Chicago.

Dyadic DifferencesN (%)
Age
 Age concordant97 (60.6)
 Age discordant63 (39.4)
Race
 Not interracial dyad115 (71.9)
 Interracial dyad45 (28.1)
HIV status
 Sero-concordant110 (68.8)
 Sero-discordant50 (31.2)
Sexual orientation
 Concordant orientations134 (83.8)
 Discordant orientations26 (16.2)
Employment status
 Concordant employment status130 (81.3)
 Discordant employment status30 (18.8)
Highest education level
 Concordant education level59 (36.9)
 Discordant education levels101 (63.2)
Arrest history (ever arrested)
 Neither arrested89 (55.6)
 Both arrested16 (10)
 Discordant arrest history55 (34.4)
Sexual agreement description
 Concordant sexual agreement102 (63.8)
 Discordant sexual agreement58 (36.3)
Internalized homophobia
 Both above 80th percentile14 (8.8)
 Neither above 80th percentile108 (67.5)
 Discordant internalized homophobia38 (23.8)
Depression
 Both have symptoms of clinical depression9 (5.6)
 Neither have symptoms of clinical depression91 (56.9)
 Discordant symptoms of clinical depression60 (37.5)
Polydrug use
 Neither use115 (71.9)
 Both use12 (8.1)
 Discordant polydrug use32 (20)
Binge drinking
 Neither binge drinks74 (46.3)
 Both binge drink38 (23.8)
 Discordant binge drinking48 (30)
IPV
 No IPV66 (41.3)
 Unidirectional IPV40 (25)
 Bidirectional IPV54 (33.8)

Note. IPV = intimate partner violence.

Table 2.

Descriptive Statistics of Respondents’ Average Relationship Quality Scores of a Sample of Male Couples (n = 320 individuals) Recruited From Atlanta, Boston, and Chicago.

Relationship Quality ScalesIndividual (respondent) Scores
N (%)
IPV (experience last 12 months)
 Physical/sexual IPV31 (9.7)
 Emotional IPV108 (33.6)
 Controlling IPV22 (6.8)
 Monitoring IPV65 (20.3)
 Any form IPV146 (45.6)
M (range) SD
Happiness scale4.94 (1, 7)1.50
Love scale75.66 (0, 95)14.70
Trust scale33.46 (0, 40)5.80
Communications patterns scale35.08 (0, 45)6.61
Dyadic adjustment scale79.10 (0, 98)19.04

Note. IPV = intimate partner violence.

Demographic Characteristics of a Sample of Male Couples (n = 320 individuals) Recruited From Atlanta, Boston, and Chicago. Descriptive Statistics of Respondents’ Average Relationship Quality Scores of a Sample of Male Couples (n = 320 individuals) Recruited From Atlanta, Boston, and Chicago. Note. IPV = intimate partner violence. Dyadic Differences in Individual Characteristics and Demographics of a Sample of Male Couples (n = 160) Recruited From Atlanta, Boston, and Chicago. Note. IPV = intimate partner violence. The unadjusted Poisson GEE model (Table 4) displays variables significantly correlated with the three IPV outcomes (experience, perpetration, and both). Age and age difference, sero-discordant partnerships, discordance in sexual orientation, lower degrees of internalized homophobia, couples not cohabitating, and equal scores on the love scale were all negatively associated with the IPV outcomes. Differences in the love scale and differences in reports of internalized homophobia, however, had a positive relationship with the IPV outcomes, as well as both partners reporting polydrug use. Poisson General Estimated Equations With Unadjusted Prevalence Ratios (PRs) and 95% Confidence Intervals (CIs) of Any Type of IPV in the Past Year of a Sample of Male Couples (n = 320 Individuals) Recruited From Atlanta, Boston, and Chicago. Note. Level of significance α = .05. Values in bold are significant at the 5% level. p < .05. ***p < .01. denotes negative relationship. The adjusted Poisson GEE model summarized in Table 5 indicates that the respondent’s age was negatively correlated with experiencing any type of IPV, perpetrating IPV, and both experiencing and perpetrating IPV (prevalence ratio [PR]: .99, 95% CI [.98, 1.0]; PR: .98, 95% CI [.97, .99]; PR: .97, 95% CI [.96, .99]). A respondent scoring in the top 20% on the internalized homophobia scale was positively associated with them reporting experiencing, perpetrating, and both experience and perpetration of IPV in their current relationship (PR: 1.67, 95% CI [1.31, 2.14]; PR: 1.59, 95% CI [1.23, 2.06]; PR: 1.79, 95% CI [1.27, 2.51]). Cohabitation was positively correlated with any type of victimization, perpetration, and both (PR: 1.74, 95% CI [1.23, 2.45]; PR: 1.68, 95% CI [1.21, 2.33]; PR: 1.64, 95% CI [1.1, 2.45]). Poisson General Estimated Equations With Adjusted Prevalence Ratios (PRs) and 95% Confidence Intervals (CIs) of Any Type of IPV in the Past Year of a Sample of Male Couples (n = 320 Individuals) Recruited From Atlanta, Boston, and Chicago. Note. Level of significance α = .05. Values in bold are significant at the 5% level. p < .05. ***p < .01. denotes negative relationship.

Discussion

The results of this study highlight individual and dyadic factors associated with minority stress as potential correlates of IPV in same-sex male couples. This study is among the first studies of same-sex male dyads to examine violence where both partners of the dyad are independently asked about IPV victimization and perpetration. This method of inquiry allows researchers to gather a more complete assessment of violence in these partnerships. These results inform the authors of the effects various individual and dyadic factors may have on IPV in male couples and provide direction for future research and prevention interventions. With respect to IPV, an alarmingly high rate of couples reported experiencing any form of IPV (nearly one in every two couples), with experiencing emotional IPV being especially high. This high prevalence is consistent with reports from other studies (Stephenson, Rentsch et al., 2011; Stephenson et al., 2013), emphasizing the continued need for developing and testing culturally sensitive violence prevention programming. Similar to previous studies were perpetration rates of physical, emotional, and controlling IPV (Stephenson, Rentsch et al., 2011; Stephenson et al., 2013), with higher rates of monitoring IPV reported in this study sample. Minority stress theory postulates that negative societal attitudes toward social minority groups, such as MSM, contribute to social stressors among these groups (Hatzenbuehler, Nolen-Hoeksema, & Erickson, 2008; Meyer, 1995). The effects of minority stress on MSM in particular may include experiences of discrimination, internalized homophobia, and expectations of rejection, all of which have been associated with poor physical and behavioral health outcomes, including increased substance use disorders (Hatzenbuehler et al., 2008). Internalized homophobia, a measure of internalized stigma and a factor in minority stress (Edwards & Sylaska, 2013; Hatzenbuehler et al., 2008), was reported by respondents in this study at both the individual and dyadic levels and appeared to play an important role in understanding the high prevalence of violence observed in this sample. The stress created by this internalized stigma, coupled with other behaviors such as drug and alcohol use (which may also be exacerbated by minority stress factors), may have significant effects on IPV risk. Factors associated with minority stress and dyadic power struggles were among precipitants of IPV in a recent qualitative study of male couples (Goldenberg et al., 2016). Findings revealed that IPV was more common among partners who had experienced homophobic violence and who had traditionally hegemonic views of masculinity that they had difficulty negotiating, referred to as “struggling to be the alpha” (Goldenberg et al., 2016). Sexual risk behaviors, specifically condomless anal intercourse and stimulant use during sex, have been reported to co-occur with experiencing IPV (Chakravarty et al., 2012; Kubicek et al., 2015; Meyer, 1995; Stall et al., 2003; Stephenson, Rentsch et al., 2011; Stephenson et al., 2013). Results highlight the effects internalized homophobia and other relationship level and individual factors may have on violence prevalence. First, age had a negative effect on experience, perpetration, and both of any form of IPV, a finding mirrored in previous MSM violence studies (Greenwood et al., 2002; Stephenson et al., 2013). Older men may positively influence their partner and connect them to support networks, as well as be more understanding and supportive partners by way of their lifetime experiences. Cohabiting partners were at an increased risk of all IPV outcome categories (experience, perpetration, or both of any type of partner violence), which may be due to increased contact and possibility for violence when living together. This could also be tied to financial concerns and differences in home lifestyles that become more prevalent when a couple decides to live together, which may cause internal stress in the relationship that could lead to violence (Stephenson, Rentsch et al., 2011). Although few studies have explored the relationship between internalized homophobia and violence and yielded similar results (Edwards & Sylaska, 2013; Finneran, Chard, Sineath, Sullivan, & Stephenson, 2012), these results do suggest a possible link between negative feelings of self and the prevalence of any form of violence which is especially pertinent to minority stress theory. The results of this analysis highlight that these covariates influence the presence of violence in a relationship, and this violence may often be mutually perpetrated within a partnership. This study’s main limitations are in its sample size and the cross-sectional nature of the survey. The final included sample, comprised 160 male couples (320 individuals), was by no means a wholly representative sample of all male same-sex couples. Latino participants and those of other races were too few to be included in analysis and were thus grouped together as “multiracial/other,” though this may obscure possible unique relationships faced by those of non-White or non-Black racial backgrounds.

Public Health Implications

IPV among male–male couples has several implications on health, especially with behaviors associated with the risk of HIV transmission or acquisition, indicating a need for developing and testing culturally sensitive prevention intervention programs. This study is one of the first to independently gather data from both members of the dyad regarding partner violence and the first to do so while taking into account such a wide range of individual- and dyad-level characteristics. This study demonstrates a high prevalence of violence among male same-sex couples and, despite its limitations, highlights an important connection between internalized homophobia and violence reporting among couples. Future dyad studies should incorporate mixed-methods approaches and repeated assessments in order to better understand factors that are causally related to IPV as possible intervention targets for this group.
  35 in total

1.  The perpetration of intimate partner violence among LGBTQ college youth: the role of minority stress.

Authors:  Katie M Edwards; Kateryna M Sylaska
Journal:  J Youth Adolesc       Date:  2012-12-12

2.  The Gay Identity Questionnaire: a brief measure of Homosexual Identity Formation.

Authors:  S Brady; W J Busse
Journal:  J Homosex       Date:  1994

3.  Recreational drug use, polydrug use, and sexual behaviour in HIV-diagnosed men who have sex with men in the UK: results from the cross-sectional ASTRA study.

Authors:  Marina Daskalopoulou; Alison Rodger; Andrew N Phillips; Lorraine Sherr; Andrew Speakman; Simon Collins; Jonathan Elford; Margaret A Johnson; Richard Gilson; Martin Fisher; Ed Wilkins; Jane Anderson; Jeffrey McDonnell; Simon Edwards; Nicky Perry; Rebecca O'Connell; Monica Lascar; Martin Jones; Anne M Johnson; Graham Hart; Alec Miners; Anna-Maria Geretti; William J Burman; Fiona C Lampe
Journal:  Lancet HIV       Date:  2014-09-07       Impact factor: 12.767

4.  Correlates of Perceived HIV Prevalence and Associations With HIV Testing Behavior Among Men Who Have Sex With Men in the United States.

Authors:  Darcy White; Rob Stephenson
Journal:  Am J Mens Health       Date:  2014-11-11

5.  Binge Drinking among Men Who Have Sex with Men and Transgender Women in San Salvador: Correlates and Sexual Health Implications.

Authors:  Erin Peacock; Katherine Andrinopoulos; John Hembling
Journal:  J Urban Health       Date:  2015-08       Impact factor: 3.671

6.  Direct and buffering effects of social support among gynecologic cancer survivors.

Authors:  Kristen M Carpenter; Jeffrey M Fowler; G Larry Maxwell; Barbara L Andersen
Journal:  Ann Behav Med       Date:  2010-02

7.  Intimate Partner Violence and Correlates With Risk Behaviors and HIV/STI Diagnoses Among Men Who Have Sex With Men and Men Who Have Sex With Men and Women in China: A Hidden Epidemic.

Authors:  Alissa Davis; John Best; Chongyi Wei; Juhua Luo; Barbara Van Der Pol; Beth Meyerson; Brian Dodge; Matthew Aalsma; Joseph Tucker
Journal:  Sex Transm Dis       Date:  2015-07       Impact factor: 2.830

8.  Minority stress and mental health in gay men.

Authors:  I H Meyer
Journal:  J Health Soc Behav       Date:  1995-03

9.  Intimate Partner Violence and Social Pressure among Gay Men in Six Countries.

Authors:  Catherine Finneran; Anna Chard; Craig Sineath; Patrick Sullivan; Rob Stephenson
Journal:  West J Emerg Med       Date:  2012-08

10.  Project Stronger Together: Protocol to Test a Dyadic Intervention to Improve Engagement in HIV Care Among Sero-Discordant Male Couples in Three US Cities.

Authors:  Rob Stephenson; Nicolas A Suarez; Robert Garofalo; Marco A Hidalgo; Samuel Hoehnle; Jennie Thai; Matthew J Mimiaga; Emily Brown; Anna Bratcher; Taylor Wimbly; Patrick Sullivan
Journal:  JMIR Res Protoc       Date:  2017-08-31
View more
  5 in total

1.  Intimate Partner Violence Perpetration Among Sexual Minority People and Associated Factors: A Systematic Review of Quantitative Studies.

Authors:  Tommaso Trombetta; Luca Rollè
Journal:  Sex Res Social Policy       Date:  2022-09-08

2.  Psychometric validation of the identity abuse scale among LGBTQ individuals.

Authors:  Jillian R Scheer; Julie M Woulfe; Lisa A Goodman
Journal:  J Community Psychol       Date:  2018-09-12

3.  Gaps in science and evidence-based interventions to respond to Intimate Partner Violence among Black gay and bisexual men in the U.S.: A Call for An Intersectional Social Justice Approach.

Authors:  Durryle Brooks; Andrea Wirtz; David Celentano; Chris Beyrer; Renata Arrington-Sanders; Kimberly Hailey-Fair
Journal:  Sex Cult       Date:  2020-06-21

4.  Romantic Attachment, Internalized Homonegativity, and Same-Sex Intimate Partner Violence Perpetration Among Lesbian Women in Italy.

Authors:  Giacomo Tognasso; Tommaso Trombetta; Laura Gorla; Shulamit Ramon; Alessandra Santona; Luca Rollè
Journal:  Front Psychol       Date:  2022-04-07

5.  Relationship Power and Intimate Partner Violence in Sexual Minority Male Couples.

Authors:  Stephen C Bosco; Gabriel Robles; Rob Stephenson; Tyrel J Starks
Journal:  J Interpers Violence       Date:  2020-08-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.