Abstract
We describe and compare the baseline rates of victimization and perpetration of three forms of intimate partner violence (IPV)—psychological, physical, and sexual—among sexually active men (n = 1,113) and women (n = 226) enrolled in an ongoing cluster-randomized HIV and gender-based violence prevention trial in Dar es Salaam, Tanzania. IPV was measured using a modified version of the World Health Organization Violence Against Women instrument. We assess the degree to which men and women report overlapping forms of IPV victimization and perpetration. Sociodemographic and other factors associated with increased risk of victimization and perpetration of IPV are examined. Within the last 12 months, 34.8% of men and 35.8% of women reported any form of IPV victimization. Men were more likely than women to report perpetrating IPV (27.6% vs. 14.6%, respectively). We also found high rates of co-occurrence of IPV victimization and perpetration with 69.7% of male perpetrators and 81.8% of female perpetrators also reporting victimization during the last year. Among men, having ever consumed alcohol and experiencing childhood violence were associated with increased risk of most forms of IPV. Younger women were more likely to report perpetrating IPV than older women. We found evidence of gender symmetry with regard to most forms of IPV victimization, but men reported higher rates of IPV perpetration than women. Given the substantial overlap between victimization and perpetration reported, our findings suggest that IPV may be bidirectional within relationships in this setting and warrant further investigation. Implications for interventions are discussed.
Keywords: gender, intimate partner violence (IPV), Tanzania
Introduction
Intimate partner violence (IPV)—which includes physical, sexual, or psychological harm perpetrated by a current or former partner or spouse—is a serious public health problem (Garcia-Moreno, Jansen, Ellsberg, Heise, & Watts, 2006). The World Health Organization (WHO) reports that 30% of ever- partnered women worldwide have experienced IPV in their life (World Health Organization, 2013). The consequences of experiencing IPV among women are severe, including increased risk of depression, post-traumatic stress disorder (PTSD), harmful alcohol use, increased risk of suicide, non-fatal injuries, and fatal injuries (Devries et al., 2013; Maxwell, Devries, Zionts, Alhusen, & Campbell, 2015). Experiencing violence during pregnancy has also been associated with increased risk for low-birth-weight infants, pre-term delivery, induced abortions, and neonatal death (Sarkar, 2008). Studies among women have shown that IPV victimization is prospectively linked to an increased risk of HIV (Li et al., 2014). For men, global prevalence statistics for IPV victimization are not available, though studies are increasingly assessing men’s victimization. For example, a longitudinal panel study in Malawi recently reported that more than 10% of men experienced sexual violence in their lifetimes (Conroy & Chilungo, 2014). Another population-based study in Rwanda found that 7.3% of men experienced psychological IPV, 4.3% experienced physical IPV, and 1.5% experienced sexual IPV in the past year (Umubyeyi, Mogren, Ntaganira, & Krantz, 2014). Consequences of victimization among men include incident depressive symptoms and other mental health issues (Devries et al., 2013; Reid et al., 2008).
There is a large body of research comparing men and women’s victimization and perpetration of violence. Much of this research has been conducted among men and women in high-resource countries and the United States in particular. These studies have mostly found evidence of gender symmetry, defined as equal rates of IPV among men and women, with regard to both victimization and perpetration (Archer, 2000, 2002). A review, including 13 empirical studies and two meta-analyses on gender symmetry in IPV, found that men and women generally exhibited similar rates of IPV when other factors including motivations and consequences were not considered (Chan, 2011). Results from these studies have important implications for prevention efforts. Specifically, by documenting significant levels of IPV victimization among men, providing evidence that women also report perpetrating IPV, and highlighting the bidirectional nature of conflict within relationships (with both partners perpetrating IPV), these studies have encouraged a greater focus on interventions that have a “family violence” or “partner violence” approach rather than interventions focused only on reducing male perpetration. Family violence researchers tend to view IPV as bidirectional within intimate relationships (Winstok, 2011). The growing recognition of gender symmetry in IPV has led to recent calls for prevention efforts to target both genders (O’Leary & Slep, 2012). As a result, recent interventions to prevent dating violence in the United States have been designed to reduce perpetration of partner violence among both girls and boys (Foshee et al., 2012; Wolfe et al., 2009).
The vast majority of research on IPV in sub-Saharan Africa, however, has not examined gender differences or similarities in the victimization or perpetration of IPV. National health surveys in this context do not regularly collect data regarding both men’s and women’s victimization and perpetration of IPV and typically assess only violence victimization among women. A growing number of studies in the region have examined the prevalence and risk factors of men’s perpetration of violence (Fleming et al., 2015; Jewkes, Sikweyiya, Morrell, & Dunkle, 2011; Townsend et al., 2011), though assessments of women’s perpetration have been less common. Studies examining men’s IPV victimization in Africa (Conroy & Chilungo, 2014; Shannon et al., 2012; Umubyeyi et al., 2014) are new, and most of these have been conducted with men who have sex with men (MSM; Stephenson, de Voux, & Sullivan, 2011). A few studies comparing victimization and perpetration among men and women have been performed in sub-Saharan Africa, including Rwanda (Umubyeyi et al., 2014), and an assessment of coercive sex among youth attending schools in 10 southern African countries (Andersson et al., 2012) as well as adolescents in Uganda (Ybarra, Bull, Kiwanuka, Bangsberg, & Korchmaros, 2012). However, many of these studies only assess one form of IPV, limiting our understanding of how psychological, physical, and sexual forms of violence overlap.
The purpose of this article is to fill this research gap by describing and comparing the baseline prevalence, overlap, and risk factors of IPV victimization and perpetration among sexually active men (n = 1,113) and women (n = 226) enrolled in an ongoing cluster-randomized HIV and gender-based violence prevention trial in Dar es Salaam, Tanzania. These men and women are members of stable social networks locally referred to as “camps.” Specifically, we aim to describe the prevalence of psychological, physical, and sexual IPV victimization and perpetration within the last 12 months, and compare those findings by gender. We also assess the degree to which men and women report overlapping forms (psychological, physical, and sexual) of IPV when reporting victimization and perpetration. Finally, we examine the co-occurrence of victimization and perpetration for men and women and identify sociodemographic and risk/ protective factors associated with increased risk of victimization and perpetration of the three forms of IPV.
Method
Setting
The setting for this study is Dar es Salaam, the business capital and largest city in Tanzania. More specifically, the trial is conducted within four wards of Kinondoni District, the most populated and impoverished district within Dar es Salaam. HIV prevalence in Dar es Salaam is 6.9%, which is higher than the national average of 5% (Tanzania Commission for AIDS [TACAIDS], 2013).
Data
This study uses baseline data from an ongoing cluster-randomized HIV and gender-based violence prevention trial in Dar es Salaam, Tanzania. The clusters for this trial are comprised of social groups locally referred to as “camps.” Camps were identified in prior research as stable social networks of mostly male members (on average, 80% of camp members are male), with an elected leadership structure (Yamanis, Maman, Mbwambo, Earp, & Kajula, 2010). In this urban setting, many camp members are not formally employed and join these camps to socialize, support one another, and engage in activities such as playing sports or occasionally participating in camp-led business enterprises. Previous research with camps found that some camps prohibited female membership, and that other camps embraced women as members and even as leaders (Yamanis et al., 2010). In some instances, female members were sexual partners of male camp members, and in other instances, women were observed to be working within the vicinity of the camps as tailors or cooks. As such, female camp members may occupy unique social positions as members of these predominantly male social groups.
Prior to the baseline assessment, we enumerated all camps within the study area (n = 294) by conducting a Priorities for Local AIDS Control Efforts (PLACE) assessment (Weir et al., 2003). Of these, 172 were eligible and we randomly selected 60 camps for inclusion in our trial. Next, we attempted to contact all study camp members at least 3 times to assess their individual eligibility for the study. To be eligible for participation in our trial, participants had to be older than 15 years, have been a camp member for more than 3 months, visit the camp at least once a week, plan on residing in Dar es Salaam for the next 30 months, and be willing to provide contact information of a friend or a family member to be used in the event we could not contact the participant for follow-up assessments. Of the 1,836 potentially eligible participants, we collected baseline data from 1,491 eligible participants between October 8, 2013 and March 23, 2014 (response rate = 81.2%). Trained interviewers conducted the behavioral assessments using tablets programmed with a custom-designed CAPI (computer-assisted personal interviewing) instrument. As young men and women who never had sex were mostly single, unmarried individuals who were not involved in relationships in which IPV could occur, we restricted our analytic sample for this study to sexually active men (n = 1,113) and women (n = 226). The demographic characteristics of the men and women included in our sample are presented in Table 1.
Table 1.
Variables | Men % (n) | Women % (n) |
---|---|---|
Age (years) | ||
15-19 | 13.4 (149) | 13.3 (30) |
20-24 | 30.0 (334) | 31.0 (70) |
25-29 | 29.0 (323) | 22.1 (50) |
30+ | 27.6 (307) | 33.6 (76) |
Education | ||
Primary school or less | 58.7 (652) | 60.0 (135) |
Some secondary school | 10.5 (116) | 9.3 (21) |
Secondary school completed or more | 30.8 (342) | 30.7 (69) |
SES | ||
Low | 26.2 (291) | 19.0 (43) |
Medium | 39.1 (435) | 32.3 (73) |
High | 34.7 (386) | 48.7 (110) |
Unemployed | ||
No | 81.5 (907) | 60.2 (136) |
Yes | 18.5 (206) | 39.8 (90) |
Marital history | ||
Never married | 75.1 (833) | 58.9 (133) |
Previously married | 25.0 (277) | 41.2 (93) |
Number of children | ||
0 | 62.8 (699) | 35.8 (81) |
1 | 22.6 (251) | 27.9 (63) |
2+ | 14.7 (163) | 36.3 (82) |
Alcohol use ever | ||
No | 55.1 (613) | 62.8 (142) |
Yes | 44.9 (499) | 37.2 (84) |
Childhood physical violence | ||
No | 94.5 (1,051) | 97.8 (220) |
Yes | 5.5 (61) | 2.2 (5) |
Childhood sexual violence | ||
No | 92.8 (1,033) | 95.5 (214) |
Yes | 7.2 (80) | 4.5 (10) |
Social support: having friend/relative to discuss personal problem | ||
No | 19.4 (216) | 12.8 (29) |
Yes | 80.6 (897) | 87.2 (197) |
Social support: having friend/relative who provided money or other needed items | ||
No | 27.3 (304) | 21.7 (49) |
Yes | 72.7 (809) | 78.3 (177) |
Number of sexual partners in the last year | ||
0 | 13.3 (148) | 11.5 (26) |
1 | 67.3 (897) | 81.4 (184 |
2 + | 19.4 (216) | 7.1 (16) |
All sexual partners in last year were femalea | ||
Yes | 98.5 (1,096) | — |
No | 1.4 (16) | — |
Note. SES = socioeconomic status.
Only men were asked how many of their partners were women and how many were men within the last year.
Measures
Dependent variables
We assessed past-year IPV victimization and perpetration using an adapted version of the WHO Violence Against Women instrument, which was developed for international use (Garcia-Moreno et al., 2006). This tool measures psychological, physical, and sexual IPV victimization and perpetration. Participants were first asked to report on IPV victimization before they were asked about perpetration of IPV. To assess victimization, participants were asked whether a current partner or any other partner had ever done any of 13 behaviorally specific violent acts. The psychological violence items (n = 4) included instances of insulting, belittling or humiliating, scaring or intimidating, or threatening to hurt. Physical violence items (n = 6) included instances of slapping, pushing, hitting, kicking, choking, and threatening with a weapon. Sexual violence items (n = 3) included physically forcing to have sex, using threats to force sex, and sexual acts deemed degrading. For those who said yes to ever having experienced a specific act of violence, they were asked to report how many times they had experienced that act in the last 12 months. Response options included never, once, 2 to 3 times, 4 to 10 times, and more than 10 times. This tool has been used previously to measure young men’s perpetration of IPV in Tanzania (Maman, Yamanis, Kouyoumdjian, Watt, & Mbwambo, 2010) and has also been used with men and women in a number of other African populations (Groves, Kagee, Maman, Moodley, & Rouse, 2012; Jewkes, Dunkle, Nduna, & Shai, 2010). The measure demonstrated acceptable internal consistency for victimization (Cronbach’s α = .76 and .80 for men and women, respectively) and perpetration (Cronbach’s α = .73 and .72 for men and women, respectively) within the current sample. We dichotomized responses to the frequency of psychological, physical, sexual, or any form of IPV victimization within the last 12 months, such that a 0 represented no violence and a 1 represented at least 1 instance of that form of violence within the last 12 months. The same approach was taken to assess perpetration of violence, with participants first being asked whether they had done any of the 13 behaviorally specific violent acts to their current partner or any other partner. For those who said yes to having perpetrated a specific act, they were asked to report the frequency of perpetration in the last 12 months. These responses were also dichotomized to indicate perpetration of violence within the past 12 months.
Independent variables
Demographic variables
Participants’ age was categorized into four categories: 15 to 19, 20 to 24, 25 to 29, and 30 or more years. Each participant was asked to report the highest level of education, and responses were categorized as primary school or less, some secondary school, or secondary school completed or more. We assessed socioeconomic status (SES) using principal components analysis (PCA) to compute a composite score combining participant responses to a wealth index assessing ownership of 10 different household assets (Filmer & Pritchett, 2001). We then categorized the scores for each participant into terciles based on the entire sample of men and women in our baseline dataset (the lowest 33% of participants were classified as low SES, the highest 33% were classified as high SES, and the remainder were classified as medium SES). We determined whether participants were unemployed by asking whether each participant did any work for any type of pay, profit, or barter during the last 7 days, or had a job to which they would eventually return (National Bureau of Statistics (NBS) [Tanzania], 2011). Those who stated that they did not do work in the last 7 days nor had a job to which they would return were considered unemployed. All current students were excluded from the employment measure. We assessed the marital history of all participants by asking them whether they had ever been married. We also assessed the number of children by asking participants how many children they had who were still living. In addition, participants were asked how many sexual partners they had within the last year, and men were asked how many of the partners were men and how many were women.
Risk and protective factors
Alcohol use ever was assessed by asking participants whether they had ever used alcohol in their lifetime. To assess childhood physical violence, participants were asked if they experienced any unwanted physical violence while growing up (before the age of 12 years). Physical violence was defined as being hit, hit with an object, punched, kicked, or beaten up in a way that resulted in injury, severe pain, or other serious harm. To assess childhood sexual violence, participants were also asked if they had experienced any inappropriate touching or unwanted sexual intercourse while growing up (before the age of 12 years). We evaluated social support by asking each participant whether they talked about a personal problem with any of eight distinct groups of people, including specific family members, sexual partners, camp members, and other close friends outside the camp. We created a dichotomous variable by grouping those who spoke about a personal problem with at least one person and comparing them with those who did not speak to anybody about a personal problem. We used the same approach to dichotomize social support with regard to having received money or other needed things from any of the same eight groups of people. Social support has been similarly dichotomized in a recent study examining associations between social support and IPV victimization (Umubyeyi et al., 2014).
Statistical Analyses
We assessed victimization and perpetration of IPV by examining the prevalence (%, n) for each item as well as aggregates of any psychological IPV, any physical IPV, any sexual IPV, and any form of IPV. We visualized overlapping forms of IPV victimization and perpetration by creating proportional Venn diagrams as has been done previously (Umubyeyi et al., 2014) by using SAS and the Visualization Application Program Interface (API) for Google charts. Wald chi-square tests were performed using PROC SURVEYFREQ to compare differences in proportions between men and women for both victimization and perpetration while accounting for the clustered nature of our data, with individuals (Level 1) nested with camps (Level 2). Finally, we examined risk factors for both victimization and perpetration for the three forms of IPV (all modeled as binary outcomes) by estimating multilevel logistic regression models using PROC GLIMMIX to obtain odds ratios (ORs) and corresponding 95% confidence intervals (CIs) while also accounting for our clustered data. We conducted our analyses using SAS software Version 9.4 (SAS Institute, 2011).
Ethical Review
The study procedures and instruments were approved by the University of North Carolina at Chapel Hill Institutional Review Board as well as by the Muhimbili University of Health and Allied Sciences (MUHAS) Senate Research and Publications Committee.
Results
IPV Victimization
Within the last 12 months, 34.8% of men and 35.8% of women reported any form of IPV victimization. Men and women also reported similar prevalence of psychological and sexual victimization. However, more women reported physical IPV victimization than men. The Wald χ2 tests comparing proportions between men and women are presented in Table 2. Men and women reported similar patterns of overlapping forms of IPV victimization (see Figure 1). For both genders, most individuals who reported IPV victimization reported only psychological IPV victimization within the last 12 months. Most men and women who experienced either physical or sexual IPV victimization also experienced psychological violence.
Table 2.
Victimization |
Perpetration |
|||
---|---|---|---|---|
Men |
Women |
Men |
Women |
|
Forms of Violence | % (n) | % (n) | % (n) | % (n) |
Psychological | ||||
Insulted | 26.5 (295) | 30.1 (68) | 17.6 (196) | 11.5 (26)* |
Belittled or humiliated | 5.1 (57) | 5.3 (12) | 2.4 (27) | 3.1 (7) |
Scared or intimidated | 4.9 (54) | 6.2 (14) | 3.1 (34) | 1.3 (3) |
Threatened to hurt | 4.0 (44) | 6.6 (15) | 3.6 (40) | 1.8 (4) |
Any psychological IPV | 29.2 (325) | 31.0 (70) | 19.7 (219) | 12.8 (29)* |
Physical | ||||
Slapped or thrown something | 4.0 (44) | 6.2 (14) | 10.2 (113) | 3.5 (8)* |
Pushed or shoved | 4.8 (53) | 5.8 (13) | 3.4 (38) | 2.7 (6) |
Hit with first or something else | 2.9 (32) | 8.4 (19)* | 2.9 (32) | 1.3 (3) |
Kicked dragged or beaten | 0.7 (8) | 3.5 (8)* | 2.2 (24) | 0.9 (2) |
Choked or burnt | 1.1 (12) | 1.3 (3) | 0.4 (4) | 0.4 (1) |
Threatened or used a weapon | 1.4 (15) | 1.8 (4) | 0.3 (3) | 0 (0) |
Any physical IPV | 8.4 (93) | 13.3 (30) * | 13.2 (147) | 4.9 (11)* |
Sexual | ||||
Physically forced to have sex | 10.2 (113) | 9.3 (21) | 6.1 (68) | 2.7 (6)* |
Threats to make partner have sex | 1.1 (12) | 3.1 (7) | 1.7 (19) | 0 (0) |
Forced to do something degrading | 1.6 (18) | 2.7 (6) | 0.4 (4) | 0 (0) |
Any sexual IPV | 11.1 (123) | 9.7 (22) | 6.7 (75) | 2.7 (6)* |
Any IPV | 34.8 (387) | 35.8 (81) | 27.6 (307) | 14.6 (33)* |
Note. IPV = intimate partner violence.
p < .05 for Wald χ2 test comparing proportions between men and women (df = 1).
Perpetration of IPV
Greater proportions of men compared with women reported perpetrating all three forms of IPV (see Table 2). There were both similarities and differences in the patterns of overlapping forms of IPV perpetrated by men compared with women (see Figure 2). The most common form of violence perpetrated among both male and female perpetrators was psychological IPV. However, while more than half of female perpetrators reported perpetrating only psychological IPV, just over one third of all male perpetrators reported only perpetrating psychological IPV.
Co-Occurrence of Victimization and Perpetration
Among those who reported any form of IPV victimization within the last year, 55.3% of men and 33.3% of women reported perpetrating IPV within the same time period. When restricting this subanalysis to physical IPV, we found that 48.4% of men and 20.0% of women who reported physical IPV victimization also reported perpetrating physical IPV. Among those who had perpetrated IPV in the last year, the vast majority of men (69.7%) and women (81.8%) also reported IPV victimization (of any form) within the same period. When this analysis is restricted to those who perpetrated physical IPV within the last year, we find that 30.6% of male perpetrators and 54.6% of female perpetrators also reported physical IPV victimization.
Associations With Sociodemographic and Psychosocial Factors
IPV victimization
We present ORs for sociodemographic and risk/protective factors and IPV victimization within the last 12 months for men and women in Table 3. Statistically significant results (α = .05 )are bolded in the table. For example, compared with never-married men, previously married men were significantly less likely to report physical IPV victimization. Having ever consumed alcohol was associated with increased risk of all forms of IPV victimization among men. Experiencing childhood physical or sexual violence was also associated with increased risk of psychological and physical IPV victimization for men. Contrary to what we expected, having somebody to discuss a personal problem with was associated with increased likelihood of reporting psychological victimization and having somebody who provided money or other items for support was associated with increased likelihood of reporting sexual victimization among men.
Table 3.
Men (n = 1,116) |
Women (n = 226) |
|||||
---|---|---|---|---|---|---|
12-Month Psychological |
12-Month Physical |
12-Month Sexual |
12-Month Psychological |
12-Month Physical |
12-Month Sexual |
|
Forms of Violence | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] |
Age (years) | ||||||
15-19 | 0.95 [0.57, 1.59] | 0.81 [0.36, 1.83] | 1.57 [0.88, 2.79] | 2.51 [0.89, 7.06] | 1.8 [0.46, 6.94] | 1.82 [0.42, 7.96] |
20-24 | 1.52 [1.04, 2.21] | 1.1 [0.61, 2.00] | 0.76 [0.44, 1.29] | 2.34 [1.07, 5.13] | 3.18 [1.15, 8.80] | 1.87 [0.58, 5.99] |
25-29 | 1.39 [0.96, 2.01] | 1.47 [0.84, 2.59] | 1.25 [0.76, 2.04] | 1.56 [0.66, 3.69] | 1.3 [0.37, 4.54] | 0.5 [0.09, 2.71] |
30+ (ref) | — | — | — | — | — | — |
Education | ||||||
Primary school or less |
0.89 [0.56, 1.41] | 0.70 [0.36, 1.34] | 0.77 [0.41, 1.42] | 1.06 [0.36, 3.16] | 0.86 [0.23, 3.28] | 0.24 [0.06, 0.94] |
Some secondary school |
1.17 [0.72, 1.90] | 0.67 [0.33, 1.35] | 1.16 [0.61, 2.20] | 1.44 [0.46, 4.55] | 1.02 [0.25, 4.14] | 0.32 [0.08, 1.36] |
Secondary school completed + (ref) |
— | — | — | — | — | — |
SES | ||||||
Low | 1.09 [0.75, 1.57] | 0.71 [0.39, 1.29] | 1.33 [0.81, 2.18] | 1.54 [0.66, 3.57] | 0.60 [0.19, 1.93] | 1.33 [0.34, 5.15] |
Medium | 0.92 [0.67, 1.26] | 1.01 [0.62, 1.65] | 1.32 [0.84, 2.07] | 1.02 [0.51, 2.05] | 0.93 [0.40, 2.20] | 1.70 [0.58, 4.96] |
High (ref) | — | — | — | — | — | — |
Unemployed | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.25 [0.87, 1.80] | 0.99 [0.57, 1.74] | 1.37 [0.81, 2.31] | 1.52 [0.81, 2.84] | 1.64 [0.71, 3.79] | 1.40 [0.51, 3.86] |
Marital history | ||||||
Never married (ref) |
— | — | — | — | — | — |
Previously married |
1.10 [0.79, 1.52] | 0.61 [0.38, 0.97] | 1.50 [0.93, 2.40] | 1.37 [0.73, 2.58] | 0.90 [0.41, 1.97] | 0.69 [0.25, 1.87] |
Alcohol use ever | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.90 [1.44, 2.51] | 1.86 [1.20, 2.89] | 2.16 [1.47, 3.18] | 1.22 [0.66, 2.28] | 1.58 [0.72, 3.43] | 0.84 [0.30, 2.33] |
Childhood physical violence | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 3.06 [1.76, 5.32] | 2.84 [1.43, 5.63] | 1.64 [0.81, 3.33] | 1.34 [0.19, 9.52] | 1.65 [0.18, 15.48] | 22.78 [2.41, 215.58] |
Childhood sexual violence | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 2.99 [1.83, 4.87] | 3.41 [1.87, 6.22] | 1.63 [0.87, 3.05] | 2.51 [0.64, 9.79] | 4.82 [1.26, 18.39] | 4.75 [0.95, 23.86] |
Social support: friend/relative to discuss personal problem | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.68 [1.16, 2.45] | 1.04 [0.60, 1.82] | 1.69 [0.98, 2.93] | 1.95 [0.72, 5.28] | 1.38 [0.39, 4.90] | 1.39 [0.28, 6.76] |
Social support: friend/relative who provided money or other items | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.26 [0.92, 1.73] | 0.80 [0.50, 1.27] | 1.72 [1.07, 2.77] | 1.02 [0.50, 2.11] | 1.12 [0.43, 2.94] | 1.19 [0.35, 3.99] |
Note. IPV = intimate partner violence; OR = odds ratios accounting for clustered nature of data; CI = confidence interval; SES = socioeconomic status.
Bolded values are statistically significant (α = .50)
Women between the ages of 20 and 24 years were more likely to have experienced psychological and physical IPV than their 30 years or older counterparts. Women with less than primary school education were less likely to have experienced sexual IPV victimization compared with women who completed secondary school or more. Experiencing physical violence as a child also significantly increased risk of sexual IPV victimization, and experiencing sexual violence as a child was associated with increased risk of physical IPV victimization among women.
IPV perpetration
The ORs for sociodemographic and risk/protective factors and IPV perpetration for men and women are presented in Table 4. Unemployed men were significantly more likely to report perpetrating psychological IPV than employed men, and having ever consumed alcohol was strongly associated with increased risk of perpetrating all forms of IPV among men. Experiencing childhood physical violence was associated with increased risk of perpetrating both psychological and physical violence, and experiencing sexual violence as a child increased men’s risk of perpetrating all forms of IPV. Interestingly, the presence of social support was associated with increased likelihood of reporting IPV perpetration among men.
Table 4.
Men (n = 1,116) |
Women (n = 226) |
|||||
---|---|---|---|---|---|---|
12-Month Psychological |
12-Month Physical |
12-Month Sexual |
12-Month Psychological |
12-Month Physical |
12-Month Sexual |
|
Forms of Violence | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] |
Age (years) | ||||||
15-19 | 0.95 [0.54, 1.66] | 0.88 [0.45, 1.73] | 0.92 [0.41, 2.08] | 8.85 [2.14, 36.58] | 11.83 [1.19, 117.74] | — |
20-24 | 1.03 [0.67, 1.58] | 1.22 [0.75, 1.99] | 0.91 [0.48, 1.74] | 4.06 [1.06, 15.54] | 2.09 [0.18, 24.85] | — |
25-29 | 1.59 [1.06, 2.37] | 1.33 [0.83, 2.13] | 1.26 [0.69, 2.30] | 4.64 [1.16, 18.6] | 6.60 [0.69, 63.30] | — |
30+ (ref) | — | — | — | — | — | — |
Education | ||||||
Primary school or less |
0.87 [0.52, 1.44] | 1.21 [0.8, 1.83] | 0.78 [0.37, 1.65] | 0.31 [0.10, 1.01] | 0.95 [0.10, 8.81] | 0.61 [0.06, 5.83] |
Some secondary school |
1.01 [0.59, 1.72] | 1.33 [0.71, 2.49] | 0.95 [0.43, 2.08] | 0.67 [0.21, 2.21] | 1.21 [0.12, 12.15] | 0.29 [0.02, 5.01] |
Secondary school completed + (ref) |
— | — | — | — | — | — |
SES | ||||||
Low | 0.59 [0.39, 0.90] | 0.85 [0.53, 1.38] | 0.62 [0.33, 1.18] | 1.11 [0.40, 3.13] | 0.41 [0.05, 3.65] | — |
Medium | 0.67 [0.47, 0.95] | 0.75 [0.50, 1.14] | 0.82 [0.48, 1.39] | 0.96 [0.39, 2.37] | 0.99 [0.26, 3.81] | — |
High (ref) | — | — | — | — | — | — |
Unemployed | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.94 [1.23, 3.06] | 1.23 [0.76, 1.99] | 1.35 [0.70, 2.60] | 0.93 [0.42, 2.06] | 0.75 [0.21, 2.65] | 3.40 [0.39, 29.99] |
Marital history | ||||||
Never married (ref) |
— | — | — | — | — | — |
Previously married | 0.88 [0.62, 1.26] | 0.72 [0.49, 1.08] | 1.24 [0.70, 2.20] | 1.38 [0.61, 3.15] | 1.98 [0.49, 8.03] | 1.41 [0.25, 7.96] |
Alcohol use ever | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 2.28 [1.67, 3.12] | 2.24 [1.55, 3.24] | 1.71 [1.07, 2.75] | 0.88 [0.38, 1.99] | 0.64 [0.16, 2.62] | 1.72 [0.34, 8.80] |
Childhood physical violence | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.99 [1.11, 3.57] | 2.74 [1.48, 5.06] | 1.90 [0.83, 4.35] | 11.19 [1.76, 71.01] | 19.68 [1.86, 208.16] | — |
Childhood sexual violence | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 3.28 [2.00, 5.37] | 4.05 [2.42, 6.81] | 3.04 [1.59, 5.81] | 5.04 [1.32, 19.27] | 5.81 [0.99, 34.18] | — |
Social support: friend/relative to discuss personal problem | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.63 [1.06, 2.49] | 1.65 [0.98, 2.77] | 1.83 [0.90, 3.73] | 1.32 [0.37, 4.71] | — | — |
Social support: friend/relative who provided money or other items | ||||||
No (ref) | — | — | — | — | — | — |
Yes | 1.51 [1.05, 2.17] | 1.66 [1.06, 2.58] | 1.86 [1.01, 3.43] | 1.85 [0.61, 5.64] |
Note. IPV = intimate partner violence; OR = odds ratios accounting for clustered nature of data; CI = confidence interval; SES = socioeconomic status.
Bolded values are statistically significant (α = .05)
Younger women were significantly more likely than older women to report perpetrating both psychological and physical IPV. Having experienced childhood physical violence was associated with increased risk of perpetrating both psychological and physical violence for women. Experiencing sexual violence as a child similarly increased risk of perpetrating psychological IPV for women.
Discussion
We set out to describe and compare the baseline prevalence, overlap, and risk factors of psychological, physical, and sexual IPV victimization and perpetration among sexually active men and women from an ongoing HIV and gender-based violence prevention study in Dar es Salaam, Tanzania. We found greater prevalence of male victimization and female perpetration of IPV in this population than we anticipated as interventions in the region mostly target men as perpetrators and women as victims. While we did not ask about the sexual orientation of our study participants, almost all of the men in our study reported having only female sexual partners within the last year. Thus, we documented high rates of IPV victimization among a predominately heterosexual population of males who are enrolled in an ongoing cluster-randomized HIV prevention trial in Dar es Salaam. More than 11% of men in our sample reported sexual IPV victimization within the last year. This finding is consistent with the study from Malawi that found more than 10% of men experienced sexual coercion (Conroy & Chilungo, 2014). Notably, that study also found that men who had experienced sexual coercion had 7.2 times greater odds of being HIV positive than men who had not experienced sexual coercion. Future longitudinal studies are needed to better understand consequences of IPV victimization for men.
The prevalence of IPV victimization among women in our study was slightly lower than in previous studies in the region as well as the 2010 Demographic and Health Survey (DHS) in Tanzania (National Bureau of Statistics (NBS) [Tanzania] and ICF Macro, 2011). A study examining women’s victimization and men’s perpetration of IPV in Uganda found that 57% of women reported victimization and 40% of men reported perpetration (Speizer, 2010), though this study was performed with married men and women, thus the results are not exactly comparable. The Tanzanian DHS found that 31.8% of women in Dar es Salaam reported experiencing physical violence in their lifetimes, and 23.8% of women in Dar es Salaam reported experiencing physical violence often or sometimes within the last 12 months (National Bureau of Statistics (NBS) [Tanzania] and ICF Macro, 2011). In comparison, 13.3% of women in our study reported physical IPV victimization within the last 12 months. This may be explained by the fact that women in our sample were largely unmarried young women and may also reflect the unique position of women who are members of predominantly male camps in Dar es Salaam. The prevalence of men’s IPV perpetration in our study was also slightly lower than prevalence documented in previous research. For example, while our study found that 13.3% of men reported perpetrating physical IPV in the last year, another study in Dar es Salaam found that 29.2% of men reported physical IPV perpetration against a partner (Maman et al., 2010). That study was conducted with a smaller sample of men (n = 360) between the ages of 16 and 24 years who had had sex within the past 6 months; thus, our results are not comparable.
When comparing prevalence of IPV victimization across genders, we found evidence of gender symmetry with regard to experiencing any form of IPV, psychological, and sexual victimization. However, women were more likely to report physical IPV victimization than men. While these findings are consistent with a large body of literature, mostly from high-resource countries (Chan, 2011), these findings do differ from some of the studies that have examined men’s and women’s IPV victimization in sub-Saharan Africa. For example, the study in Rwanda found that women reported greater levels of physical, sexual, and psychological IPV victimization than men (Umubyeyi et al., 2014). Adolescent females were more likely to report experiencing coercive sex than males (66% vs. 56%) among sexually active secondary school students in Uganda (Ybarra et al., 2012). One study in the region did find symmetry in victimization across genders, though it was restricted to forced or coerced sex among youth attending schools in 10 southern African countries. That study found an overall prevalence of 19.6% among female students and 21.2% among male students (Andersson et al., 2012). This symmetry is similar to our findings regarding sexual IPV victimization among men and women. Our study also examined the overlap of different forms of IPV and found that men and women reported similar patterns of psychological, physical, and sexual IPV victimization.
We did not find evidence of gender symmetry when looking at perpetration of IPV. Men were more likely to report all forms of IPV perpetration compared with women. Male perpetrators also reported perpetrating different patterns of overlapping forms of IPV when compared with female perpetrators, who predominantly reported perpetrating psychological IPV. It may be that men in this context are more sanctioned to enact different types of violence and, as a result, are more likely to use a range of forms of IPV in response to conflict. Women, however, may feel comfortable using only psychological violence. Previous research suggests that men’s perpetration of IPV may be enabled by a social environment that condones violence and allows IPV. Prior qualitative research in Tanzania provides evidence of such an enabling environment. One study conducted with male and female community members in several regions of Tanzania found that both men and women suggested that it was common for women to be beaten by their husbands for disobeying them (McCleary-Sills et al., 2013).
We documented high rates of co-occurrence of IPV victimization and perpetration among both men and women. Rates of IPV victimization among perpetrators were remarkably high; almost 70% of male perpetrators and more than 80% of female perpetrators also reported IPV victimization within the last year. While our study cannot ascertain whether victimization and perpetration occurred within the same relationship, this high degree of overlap in victimization and perpetration occurring within the last year suggests that IPV may be bidirectional with males and females concurrently engaging in conflict in their relationships. These findings warrant further longitudinal investigation to prospectively examine the causes and consequences of IPV within couples. In addition, the fact that the majority of perpetrators are also being victimized should be taken into account in the design of interventions to reduce IPV in this setting. Specifically, researchers and interventionists should consider broader “family violence” or “partner violence” approaches that aim to reduce violence perpetrated by both genders.
We also examined risk factors associated with increased risk of IPV victimization and perpetration. Having ever consumed alcohol and experiencing childhood physical and sexual violence was associated with increased risk of victimization and perpetration of most forms of IPV among men. Interestingly, younger women were much more likely than older women to report perpetrating IPV, suggesting that there may be more conflict in younger relationships or that perpetrating IPV may be more acceptable to younger generations of women. This increasing use of violence among young couples has been documented elsewhere (Archer, 2000). Additionally, a qualitative study, based on focus-group discussions with men and women from Dar es Salaam, found that some young women reported coping mechanisms, including seeking revenge and fighting back after experiencing IPV (Laisser, Nystrom, Lugina, & Emmelin, 2011). Contrary to what we expected, having social support was associated with increased reports of both IPV victimization and perpetration among men. It is possible that the presence of social support may have increased men’s comfort in disclosing their experiences of IPV, thus resulting in a higher prevalence of IPV among those with social support compared with those without social support. Our analysis of social support, however, did not take into account the breadth of the individual’s social support network. Future research should examine the ways in which various forms of social support longitudinally shape risk of IPV victimization and perpetration.
Our findings should be considered in light of their limitations. First of all, our sample is comprised of men and women who are members of social networks locally referred to as “camps” in Dar es Salaam. These camps have been previously described as informal socialization sites for young people living in these wards. Camp members often join these camps to engage with and support one another and play sports or participate in camp-led businesses (Yamanis et al., 2010). As such, our sample may not be representative of all men and women in Dar es Salaam, and thus our findings may not generalize to all men and women in Dar es Salaam or other urban East African cities. In addition, camps are comprised mainly of young men (Yamanis et al., 2010), so female members of these predominantly male social groups may be particularly unique in the ways in which they socialize with other men compared with women in the general population. Furthermore, some of these camps explicitly prohibit women from being members, which may influence men’s attitudes toward gender roles and their perpetration of violence. Relatedly, our sample of men was also much larger than the sample of women, primarily because these camps are comprised of mostly male members. As a result of the small sample size of women, many of the associations between demographic and risk/protective factors with women’s IPV victimization and perpetration did not reach significance. It is also important to note that the men and women in our sample were generally not couples, and it is not possible to know whether the victimization and perpetration occurred within the same relationship. For example, an individual may have perpetrated IPV against one partner and been victimized by another partner within the same period of time. However, as the majority of men and women reported having only one sexual partner within the last year, we can assume that many participants reported victimization and perpetration within the same relationship. While it is ideal to include the male and female partners of the same relationships in studies of IPV across genders (Straus, 2006), that was not feasible in this study. We also acknowledge that we assessed mostly heterosexual couples and that the proportion of men who have sex may have been underestimated, given the high levels of stigma associated with MSM in the region. In addition, the data used in this analysis were collected using self-reported behavior. While we attempted to limit biases by using behaviorally specific violent acts to assess both victimization and perpetration, social desirability and other recall or reporting biases may have led to underreporting of violent behaviors. Most previous studies, however, have highlighted the similarity of underreporting in both men’s and women’s self-reports of IPV (Chan, 2011). Furthermore, we did not assess the motives, intentions, consequences, or context in which IPV occurred. Specifically, we are not able to assess whether the perpetration of IPV, particularly among women, was in self-defense. Research from developed countries suggests that motives may in fact be similar to that of men, namely jealousy, anger, or punishing misbehavior (O’Leary, Smith Slep, & O’Leary, 2007), though we cannot speculate on the motivations for IPV perpetration in our sample. In addition, we did not assess controlling behaviors or coercive control, which are thought to characterize more severe acts of IPV referred to as “intimate terrorism” (Johnson, 1995). IPV scholars in the United States posit that less severe forms of violence, referred to as “situational couples violence,” are not characterized by coercive control and are more likely to be reciprocated or bidirectional within relationships (Johnson, 2006). As a result, the degree of coercive control may have implications for the likelihood that violence is reciprocated within relationships and therefore symmetrical between genders. Finally, we acknowledge that individuals experiencing the most severe forms of IPV (which may be less likely to be directional within relationships) may not have been willing to participate in our survey because they might fear their partners’ reactions. Further research is needed to better understand the motivations, intentions, and contexts of IPV in this setting.
We believe that our findings have implications for interventions. Many of the IPV prevention programs in sub-Saharan Africa address men’s perpetration of violence without acknowledging that violence may be bidirectional and occurring concurrently between men and women in sexual relationships. By only working to reduce one aspect (namely male-to-female violence) of a potentially larger and more complex problem, the effectiveness of our violence prevention efforts may be limited. While our study cannot ascertain whether victimization and perpetration occurred within the same partnerships, the high levels of victimization reported by men and the extent of overlap between victimization and perpetration reported by both males and females suggest that IPV may be bidirectional with both partners engaging in conflict. Incorporating a broader “family violence” or “partner violence” approach into our intervention efforts that aims to reduce violence perpetrated by both genders is warranted. Intervention programs may be more effective if they take into consideration the bidirectional nature of IPV that may be occurring within these relationships.
Acknowledgments
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health under Award Numbers R01MH 098690 and F31MH103062.
Author Biographies
Marta Mulawa, MHS, is a doctoral candidate in health behavior at the University of North Carolina (UNC) Gillings School of Global Public Health. She holds a Master of Health Science in International Health from the Johns Hopkins Bloomberg School of Public Health.
Lusajo J. Kajula, MPhil, is an assistant lecturer at the Muhimbili University of Health and Allied Sciences in Dar es Salaam, Tanzania. She has led a number of international research collaborations that address violence, HIV, and other sexually transmitted diseases among young men and women in sub-Saharan Africa.
Thespina J. Yamanis, MPH, PhD, is an assistant professor in the School of International Service at American University. She has conducted several studies on the young men’s camps in Dar es Salaam. She holds an MPH and PhD from the UNC Gillings School of Global Public Health.
Peter Balvanz, MPH, is the U.S.-based project coordinator for the National Institutes of Mental Health (NIMH)–funded trial reported in this article. He received his master’s degree in the Department of Health Behavior from the UNC Gillings School of Global Public Health.
Mrema N. Kilonzo, MS, is the Tanzania-based project coordinator for the NIMH-funded trial reported in this article. He received his master’s degree in clinical psychology from the Muhimbili University of Health and Allied Sciences.
Suzanne Maman, MPH, PhD, is an associate professor of health behavior at the UNC Gillings School of Global Public Health. She is the principal investigator of the trial reported in this article.
Footnotes
Authors’ Note
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We wish to acknowledge the work and dedication of our research team .We would also like to thank the anonymous reviewers and the participants of our study for their contributions.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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