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. Author manuscript; available in PMC: 2016 May 3.
Published in final edited form as: Violence Vict. 2010;25(5):649–661. doi: 10.1891/0886-6708.25.5.649

Intimate Partner Aggression Perpetration in Primary Care Chronic Pain Patients

Casey Taft 1, Sonia Schwartz 2, Jane M Liebschutz 3
PMCID: PMC4854526  NIHMSID: NIHMS780648  PMID: 21061870

Abstract

This study examined the prevalence and correlates of partner aggression perpetration in 597 primary care chronic pain patients. Approximately 30% of participants reported perpetrating low-level aggression, 12% reported injuring their partner, and 5% reported engaging in sexual coercion. Women reported more low-level aggression perpetration than men, and men reported more engagement in sexual coercion than women. Substance use disorders (SUD) were associated with all outcomes, and both aggression victimization and lifetime ratings of posttraumatic stress disorder (PTSD) were associated with low-level aggression and injuries. In multivariate analyses, gender, aggression victimization, PTSD, and SUD evidenced associations with one or more outcomes. Findings indicate a need for aggression screening in this population and highlight avenues for intervention.

Keywords: chronic pain, aggression, primary health care, substance use, posttraumatic stress disorder


An extensive literature documents the scope and impact of intimate partner aggression victimization among medical populations, including those experiencing chronic pain (Balousek, Plane, & Fleming, 2007). Relative to this research, little work has examined rates of perpetration of partner aggression in primary care medical settings, and none has focused on patients with chronic pain. Therefore, in the current investigation, we set out to examine the prevalence of behaviors reflecting intimate partner aggression perpetration among a sample of chronic pain patients, as well as potential correlates associated with these forms of aggression.

Chronic pain has been linked to psychiatric factors that are characterized by negative affect and impulsive behavior, and that confer risk for aggression. In particular, patients with chronic pain are likely to evidence heightened posttraumatic stress disorder (PTSD), depression, and substance use problems (Larson et al., 2007; Liebschutz et al., 2007; McWilliams, Cox, & Enns, 2003), all of which are strongly linked to relationship aggression perpetration in other populations (Jordan et al., 1992; Stuart, Moore, Gordon, Ramsey, & Kahler, 2006; Taft et al., 2005). Seminal theories of aggression, such as Berkowitz’ cognitive-neoassociationistic model (Berkowitz, 1990), hold that those who experience more frequent and severe negative affect also experience heightened feelings, thoughts, and memories related to anger and have a higher propensity for aggressive behavior. Problematic substance use is further likely to decrease positive communication behaviors and disinhibit aggressive behavior (Leonard & Roberts, 1998), particularly in the presence of anger and heightened negative affect (Eckhardt, 2007).

While no theoretical or empirical models have been developed to explain the possible association of chronic pain with relationship aggression, Fishbain and colleagues (Fishbain, Cutler, Rosomoff, & Steele-Rosomoff, 2000) have developed a clinical model of patient violence toward physicians that describes some potential explanatory mechanisms. Specifically, this model, which has received some recent empirical support (Bruns, Disorbio, & Hanks, 2007), highlights the role of problematic and stressful interpersonal relationships with those involved in the patients’ care, negative affect, physical symptom factors such as level of pain and perceptions of functional health and disability, and potential substance abuse. Analogous processes are likely to occur within the context of an intimate relationship, which has its own set of stressors, such as pain-related occupational and family role changes, financial difficulties, and impaired sexual functioning (Schwartz, Slater, & Birchler, 1996). Such relationship strains are likely to independently or jointly increase risk for aggression along with negative affect and possible substance abuse problems that accompany chronic pain.

We expected that variables reflecting negative affect and behavioral disinhibition would distinguish primary care chronic pain patients who report intimate partner aggression perpetration from their nonaggressive counterparts. Specifically, we examined PTSD, depression, and substance use disorders (SUD) as potential correlates of aggression. Consistent with the Fishbain model (Fishbain et al., 2000), it was also hypothesized that chronic pain severity and indices of physical and mental health disability would be associated with higher relationship aggression. Demographic and background correlates (age, gender, and race/ethnicity) were also explored, and we considered the role of victimization experience since much intimate aggression is bidirectional in community-based samples (Johnson & Ferraro, 2000) and individuals may aggress out of self-defense (White, Smith, Koss, & Figueredo, 2000).

METHODS

Participants

Participants were 597 patients who were 18 to 60 years of age, spoke English, endorsed pain of 3 months or more, reported use of any analgesic medication (over-the-counter or prescription) in the prior month, and had a scheduled primary care appointment. Of the 825 who met eligibility criteria for the study, 597 (76%) agreed to participate. When comparing screening questions responses between those who enrolled and those who declined, enrollees were more likely to be African American (61% vs. 55%, p < .05), less likely to take over-the-counter pain medication (67% vs. 79%, p < .001), and more likely to take opioid pain medication (41% vs. 30%, p < .01). Age and gender were not different. Overall, the sample averaged 45.8 years of age and was 58.6% female, 60.8% African American, 27.8% with less than a high school education, 61.1% with a reported income less than US$20,000, 60.5% unemployed, and the majority experienced high pain limitation.

Trained research interviewers consecutively approached patients in primary care waiting rooms of an academic, urban, safety-net hospital primary care practice. Potential participants were asked to complete a written screening instrument about their pain, analgesia use, and demographic characteristics. Written informed consent was obtained from eligible and interested patients. All study measures were administered via interviews that lasted 45 to 90 min and participants were compensated US$10. Recruitment occurred between February 2005 and August 2006. The Boston University Medical Center Institutional Review Board approved the study, and National Institutes of Health issued a Certificate of Confidentiality.

Measures

Aggression perpetration was assessed with three questions taken from Wave III of the Add Health Home Questionnaire (Carolina Population Center, n.d.; Fang & Corso, 2007). Each question represented separate dependent variables: (1) Low-level aggression: Have you ever threatened your partner with violence, pushed or shoved [him or her], or thrown something at [him or her] that could hurt? (2) Injury: Has your partner ever had an injury, such as a sprain, bruise, or cut because of a fight with you? and (3) Sexual coercion: Have you ever insisted on or made your partner have sexual relations with you when [he or she] didn’t want to? Participants reported on each outcome using a yes/no dichotomous scale. After each positive response, participants were asked the year of the last perpetration behavior. Each perpetrating behavior was analyzed as a separate outcome. Partner aggression perpetration assessed using the Add Health Questionnaire has been shown to be significantly associated with an index of general aggression perpetration in young adulthood, attesting to the construct validity of this outcome measure (Herrera, Wiersma, & Cleveland, 2008). Intimate partner victimization was measured using the same three questions. Any of the three victimization experiences constituted victimization in bivariate and regression analyses.

The Composite International Diagnostic Interview (CIDI; World Health Organization, 1997) was used to measure PTSD ever (lifetime) or in the past year (current). The CIDI has been shown to have good test-retest and interrater reliability and good validity (Andrews & Peters, 1998; Wittchen, 1994).

Major depression was measured using the Patient Health Questionnaire (PHQ) for Depression (Kroenke, 2002). The PHQ is a nine-item measure examining past 2 week major depression with items rated on a 4-point scale and total scores ranging from 9 to 27. The psychometric properties of the measure have been previously demonstrated (Kroenke, 2002).

SUD was defined as meeting DSM-IV criteria for any drug abuse or dependence ever, and/or past year alcohol dependence as measured by the CIDI version 2.1 for drug disorder (World Health Organization, 1997) and Short-Form (SF) for alcohol dependence (World Health Organization, 1997). Past year SUD included active diagnosis in the past 12 months.

Pain-related disability (limiting or nonlimiting) was measured using the Graded Chronic Pain Scale, a seven-item validated measure of pain and disability that includes two subscales: Chronic Pain Intensity and Disability Points (Von Korff, Ormel, Keefe, & Dworkin, 1992). Scoring involves categorizing the participant into one of five pain grades: pain free, low disability-low intensity, low disability-high intensity, high disability-moderately limiting, and high disability-severely limiting.

Health-related quality of life was measured with the SF-12 Mental Health and SF-12 Physical Health composite scores (Ware, Kosinski, & Keller, 1996). This measure is derived from the SF-36 Health Survey and is scored using norm-based scoring. Several studies in both medical and general populations have shown the SF-12 to have good reliability and validity (Gandek et al., 1998; Salyers, Bosworth, Swanson, Lamb-Pagone, & Osher, 2000; Ware et al., 1996).

Analysis

This is a secondary analysis of a cross-sectional study of primary care patients with chronic pain designed to look at correlates of pain, SUD, and violence-related mental health problems. After computing descriptive statistics for the aggression outcomes, bivariate analyses were performed examining differences in characteristics associated with each perpetrating behavior. Logistic regression models were created using those variables found to be significantly associated with aggression perpetration at the bivariate level, as well as victimization for all models.

RESULTS

Descriptive Statistics for Aggression

Descriptive statistics for the study correlates are reported in Table 1. As is shown in Table 2, almost one-third of participants (30%) reported perpetrating low-level aggression toward their partner, and less than half of the sample (44%) reported low-level aggression victimization. The prevalence of injury stemming from intimate partner physical aggression victimization (33%) was approximately 3 times greater than was the prevalence of participants reporting that they injured their partner (12%). Five percent of participants reported engaging in sexual coercion, and 20% of participants indicated that their partners sexually coerced them. Participants reported a mean of about 10 years since the last perpetration behavior (9.9 for low-level aggression and sexual coercion and 13.2 for injuring partner) and 12 years since last victim experience (11.2 for low-level aggression, 12.1 for injury by partner, and 11.8 for sexual coercion).

TABLE 1.

Descriptive Statistics for Study Correlates (N = 597)

Variable N %
Female 350 58.6
Race
 Black 363 60.8
 Hispanic 59 9.9
 White 103 17.3
 Other 70 11.7
Victimization 316 52.9
Current PTSD 123 20.6
Lifetime PTSD 219 36.7
Depression 249 41.7
Current or lifetime SUD 256 42.9
Limiting pain 535 89.6

M SD

Age in years 45.8 9.6
SF-12 physical health 36.5 11.7
SF-12 mental health 42.2 12.7

Note. Victimization includes at least one of the three forms of aggression (i.e., low-level aggression, injury, sexual coercion). PTSD = Posttraumatic Stress Disorder; SUD = Substance Use Disorder; SF-12 = Short Form-12 Physical and Mental Health Related Quality of Life.

TABLE 2.

Intimate Partner Aggression Descriptives (N = 597)

N %
Perpetration
 Low-level aggression 180 30.15
 Injury 74 12.40
 Sexual coercion 30 5.03
 No perpetrator experiences 382 65.64
 Any 1 perpetrator experience 124 20.77
 Any 2 perpetrator experiences 67 11.22
 Any 3 perpetrator experiences 9 1.51

M SD

 Mean number of perpetration behaviors 0.49 0.76

N %

Victimization
 Low-level aggression 262 43.90
 Injury 199 33.34
 Sexual coercion 119 19.93
 No victim experiences 281 48.28
 Any 1 victim experience 96 16.08
 Any 2 victim experiences 125 20.93
 All 3 victim experiences 80 13.40

M SD

 Mean number of victimization experiences 1.01 1.12

We further examined intimate partner aggression prevalence by victim–perpetrator status (victim-only status, perpetrator-only status, or both victim and perpetrator). As Table 3 indicates, most participants who reported aggression perpetration also reported victimization (of any type). For example, 85% of participants who reported low-level intimate partner aggression perpetration also reported victimization. It is not known whether this was bidirectional in the same relationship or victimization and perpetration in different relationships.

TABLE 3.

Intimate Partner Aggression Behavior by Victim–Perpetrator Status

Victim
Perpetrator
Both
N % N % N %
Perpetration
 Low-level aggression 27 15.1 152 84.9
 Injury 9 12.0 66 88.0
 Sexual coercion 10 32.3 21 67.7

M SD M SD M SD

 Mean number of perpetration behaviors 1.31 0.63 1.45 0.57

N % N % N %

Victimization
 Low-level aggression 116 43.9 148 56.1
 Injury 81 40.5 119 59.5
 Sexual coercion 50 40.9 72 59.0

M SD M SD M SD

 Mean number of victimization experiences 1.82 0.76 2.05 0.75

Correlates of Intimate Partner Aggression Perpetration

Several potential correlates were examined as factors that may distinguish those who report intimate partner aggression perpetration versus those who do not. Results from these analyses are presented in Table 4. A gender effect was found, such that women were more likely to report perpetration of low-level aggression, and men were more likely to report sexual coercion of a partner. Partner aggression victimization was strongly associated with both low-level aggression and partner injury, and its association with sexual coercion approached significance. Lifetime PTSD represented a significant correlate of low-level aggression and partner injury, whereas a current diagnosis of PTSD was associated only with low-level aggression. Current major depression, on the other hand, was not significantly associated with any form of aggression, though its association with low-level aggression approached significance. SUD represented a significant correlate for all three outcomes. Mental health–related quality of life score was lower (worse) in perpetrators of low-level aggression but not the other types of aggression.

TABLE 4.

Bivariate Correlates of Perpetration Behaviors

Variable Low-Level Aggression Perpetration
p Value Injury Perpetration
p Value Sexual Coercion Perpetration
p Value
Yes (n = 179)
No (n = 403)
Yes (n = 75)
No (n = 507)
Yes (n = 31)
No (n = 550)
n % n % n % n % n % n %
Gender
 Male 56 31.4 185 45.9 .001 26 34.7 215 42.4 .20 23 74.2 218 39.6 .0001
 Female 123 68.7 218 54.1 49 65.3 292 57.6 8 25.8 332 60.4
Race
 Black 108 60.3 246 61.4 .96 45 60.0 309 61.2 .94 20 64.5 333 60.8 .80
 White 32 17.9 68 16.9 14 18.7 86 17.0 4 12.9 96 17.5
 Other 39 21.8 87 21.7 16 21.3 110 21.8 7 22.6 119 21.7
Victimization
 Yes 152 84.9 149 36.9 <.0001 66 88.0 235 46.4 <.0001 21 67.7 280 50.9 .07
 No 27 15.1 254 63.0 9 12.0 272 53.6 10 32.3 270 49.1
Current PTSD
 Yes 55 30.8 67 16.6 .0001 17 22.7 105 20.7 .69 10 32.3 112 20.4 .11
 No 124 69.3 336 83.4 58 77.3 402 79.3 21 67.7 438 79.6
Lifetime PTSD
 Yes 100 55.9 116 28.9 <.0001 49 52.0 177 34.9 .004 12 38.7 204 37.1 .86
 No 79 44.1 287 71.2 36 48.0 330 65.1 19 61.3 346 62.9
Major depression
 Yes 74 41.3 134 33.3 .06 30 40.0 178 35.1 .41 11 35.5 197 35.5 .97
 No 105 58.7 269 66.8 45 60.0 329 64.9 20 64.5 353 64.2
Substance use disorder
 Past year 55 30.7 64 15.9 <.0001 22 29.3 97 19.1 <.0001 12 38.7 107 19.5 .02
 Prior to past year 47 26.3 80 19.9 28 37.3 99 29.5 8 25.8 119 21.6
 No lifetime SUD 77 43.0 259 64.3 25 33.3 311 61.3 11 35.5 324 58.9
Limiting pain
 Yes 164 91.6 358 88.8 .31 67 89.3 455 89.7 .91 27 87.1 494 99.8 .55
 No 15 8.4 45 11.2 8 10.7 52 10.3 4 12.9 56 10.2

M SD M SD p Value M SD M SD p Value M SD M SD p Value

Age in years 46.43 8.93 45.51 9.94 .29 46.56 9.1 45.7 9.7 .5 45.1 10.2 45.8 9.6 .87
SF-12 physical health score 36.17 11.22 36.70 11.80 .6 35.74 12.2 36.7 11.5 .5 37.3 11.6 36.5 11.4 .69
SF-12 mental health score 40.28 13.14 42.84 12.36 .02 40.49 12.6 42.3 12.9 .3 42.92 11.5 41.9 12.7 .69

Note. Victimization includes at least one of the three forms of aggression (i.e., low-level aggression, injury, sexual coercion). PTSD = Posttraumatic Stress Disorder; SUD = Substance Use Disorder; SF-12 = Short Form-12 Physical and Mental Health–Related Quality of Life.

Regression Analyses

Table 5 reports the outcomes of regression models predicting the three outcomes. In Model 1, female gender, any victimization, lifetime PTSD, and SUD were associated with low-level aggression perpetration, whereas mental health–related quality of life was not. When we substituted current PTSD for lifetime PTSD, it was not statistically significant (data not shown). For Model 2, any victimization and SUD were associated with higher infliction of injury, whereas lifetime PTSD was not. For Model 3, female gender was associated with less sexual coercion, while any victimization experience was associated with more sexual coercion and SUD was not associated with this outcome.

TABLE 5.

Characteristics Associated With Intimate Partner Aggression Perpetration

Model Odds Ratio (95% CI)
1. Low-level aggression
 Female vs. Male 1.97 (1.25–3.11)
 Any victimization—Yes vs. No 7.18 (4.45–11.59)
 Lifetime PTSD—Yes vs. No 1.81 (1.18–2.77)
 Any SUD—Yes vs. No 2.23 (1.43–3.47)
 SF-12 mental health score 1.01 (0.99–1.02)
2. Injury
 Any victimization—Yes vs. No 7.12 (3.40–14.90)
 Lifetime PTSD—Yes vs. No 1.12 (0.66–1.89)
 Current/lifetime SUD—Yes vs. No 2.42 (1.42–4.13)
3. Sexual coercion
 Female vs. Male 0.22 (0.09–0.53)
 Any victimization—Yes vs. No 2.34 (1.04–5.30)
 Current/lifetime SUD—Yes vs. No 1.54 (0.68–3.47)

Note. Victimization includes at least one of the three forms of aggression (i.e., low-level aggression, injury, sexual coercion). PTSD = Posttraumatic Stress Disorder; SUD = Substance Use Disorder; SF-12 = Short Form-12 Physical and Mental Health–Related Quality of Life.

DISCUSSION

High rates of intimate partner aggression perpetration and victimization were reported in this sample of primary care patients with chronic pain recruited from an urban academic practice, with almost one-third reporting perpetration of low-level aggression and almost one half of the sample reporting low-level aggression victimization. More than 12% of the sample reported the infliction of injuries on their partner, and rates of injury victimization were almost 3 times higher. Approximately 5% of this sample reported engaging in sexual coercion, while rates of sexual coercion victimization were 4 times higher. Considering data on relationship aggression rates obtained from representative sample studies of the general population (Coker et al., 2002), and being mindful of the use of different aggression measures across studies, current findings suggest elevated rates of aggression occurring in the intimate relationships of patients experiencing chronic pain.

Reports of higher rates of intimate partner aggression victimization than perpetration are consistent with the focus of the broader literature that has emphasized associations between abuse victimization experiences and chronic pain (Bailey, Freedenfeld, Kiser, & Gatchel, 2003; Balousek et al., 2007; Walsh, Jamieson, Macmillan, & Boyle, 2007). It is important to note, however, that individuals tend to underreport their intimate relationship perpetration behavior relative to their victimization due to social desirability and other biases ( Moffitt et al., 1997). Thus, perpetration reports in this study are likely to represent underestimates, and the true rates of aggression victimization and perpetration are likely to be more comparable than current study findings indicate. In addition, study findings indicate that a number of correlates were associated with intimate relationship aggression perpetration in this sample, even when controlling for victimization experiences, suggesting that aggression perpetrated in this sample was not exclusively due to acts of self-defense or bidirectional aggression.

Consistent with the Fishbain model (Fishbain et al., 2000) adapted for intimate partner aggression, it was predicted that variables reflecting negative affect and behavioral disinhibition, as well as chronic pain severity and disability would emerge as significant correlates of aggression perpetration. Among these predictors, SUD generally emerged as the strongest relative predictor. This correlate was associated with each of the three aggression perpetration outcomes at the bivariate level and both measures reflecting nonsexual aggression when statistically accounting for the other significant correlates. Problematic substance use leads to disinhibition of aggressive impulses (Eckhardt, 2007; Leonard & Roberts, 1998), and previous research indicates that substance abuse is associated with violent ideation in this population (Bruns et al., 2007). Substance use may be particularly problematic in the context of PTSD and poor mental health functioning, which were also associated with aggression perpetration at the bivariate level. PTSD and not poor mental health functioning was associated with low-level aggression perpetration in the context of the other significant correlates.

Women appeared to report more low-level aggression than men, while men reported more engagement in sexual coercion behavior. These findings are generally consistent with the broader literature on intimate partner aggression perpetration. A meta-analysis by Archer (2000) indicated that women engage in slightly higher rates of noninjurious intimate aggression than men, particularly in community-based samples ( Archer, 2000 ). Men’s aggression is more likely to lead to victim injury, though current study findings did not find such gender differences. Regarding differences in sexual coercion, previous research indicates that men engage in higher levels of sexual coercion or sexual aggression than women ( Hartwick, Desmarais, & Hennig, 2007; Stets & Pirog-Good, 1987).

The current investigation has some important clinical implications. Intimate partner aggression victimization as well as perpetration appears to be heightened in the chronic pain population, suggesting that increased screening, prevention, and intervention efforts focused on partner aggression are warranted for these individuals. Such efforts should target both men and women, as current study findings suggest that although some gender differences were noted, both genders may engage in or experience intimate partner aggression. It appears that interventions that target SUD in particular, as well as symptoms of PTSD, may be especially effective in reducing aggression. Couples-based interventions also appear warranted for this population, as the aggression reported in this study suggests that it may frequently be bidirectional in nature, and victimization was a robust predictor of perpetration. Previous work indicates that the response of the intimate partner to a patient’s negative pain behaviors can serve as powerful determinants of adjustment and the maintenance of such behaviors, lending further support for couples-based intervention approaches (Burns, Johnson, Mahoney, Devine, & Pawl, 1996; Cano, Gillis, Heinz, Geisser, & Foran, 2004; Cano & Leonard, 2006; Newton-John & Williams, 2006; Romano et al., 1992; Schwartz et al., 1996). However, couples therapy may be contraindicated in cases of moderate- to severe-aggression or in the presence of a pattern of coercive control in the relationship.

The cross-sectional nature of this study precludes us from drawing firm conclusions regarding the directionality of obtained associations. Findings that much of the aggression may have occurred several years prior to study participation (taking into account the previously described possible deflated self-reported rates of aggression) suggest that aggression victimization led to the experience of chronic pain in this sample. Moreover, aggression perpetration may also lead to higher levels of chronic pain because anger expression may alienate patients from their partners and other sources of support (Burns et al., 1996), and several other psychological, biological, and genetic mechanisms have been proposed for this relationship ( Bruehl, Chung, & Burns, 2006 ). Prospective designs are needed to more fully examine the directionality of associations among the variables investigated in the current study. It is perhaps most likely that associations among chronic pain, aggression victimization and perpetration, and the correlates of interest are bidirectional in nature. Future research in this area should also utilize more comprehensive measures of different forms of physical, psychological, and sexual intimate partner aggression and should obtain reports from both members of the couple. Finally, sampling was limited to one primary care setting in one locale. It is possible that findings would not generalize to other settings or study sites.

Despite these limitations, this study represents an initial attempt to examine reports of intimate relationship aggression perpetration in a sample of chronic pain patients, including correlates of such aggression. Findings suggest relatively high rates of aggression perpetration and victimization in this sample and highlight the role of substance use problems in particular as a correlate of perpetration. Additional work is needed to better understand the nature and scope of the relationship aggression problem in patients experiencing chronic pain and to ultimately reduce aggression and enhance intimate relationships in this population.

Acknowledgments

The authors thank Denis Rybin, MSc, for his assistance on data analysis. Funding for this study was provided by K23 DA016665 from the National Institute on Drug Abuse and K24 AA015674 from the National Institute on Alcohol Abuse and Alcoholism.

Contributor Information

Casey Taft, VA Boston Healthcare System, and Boston University School of Medicine.

Sonia Schwartz, Boston Medical Center, and Boston University School of Medicine.

Jane M. Liebschutz, Boston Medical Center, Boston University School of Medicine, and Boston University School of Public Health.

References

  1. Andrews G, Peters L. The psychometric properties of the composite international diagnostic interview. Social Psychiatry and Psychiatric Epidemiology. 1998;33(2):80–88. doi: 10.1007/s001270050026. [DOI] [PubMed] [Google Scholar]
  2. Archer J. Sex differences in aggression between heterosexual partners: A meta-analytic review. Psychological Bulletin. 2000;126:651–680. doi: 10.1037/0033-2909.126.5.651. [DOI] [PubMed] [Google Scholar]
  3. Bailey BE, Freedenfeld RN, Kiser RS, Gatchel RJ. Lifetime physical and sexual abuse in chronic pain patients: Psychosocial correlates and treatment outcomes. Disability and Rehabilitation. 2003;25:331–342. doi: 10.1080/0963828021000056866. [DOI] [PubMed] [Google Scholar]
  4. Balousek S, Plane MB, Fleming M. Prevalence of interpersonal abuse in primary care patients prescribed opioids for chronic pain. Journal of General Internal Medicine. 2007;22:1268–1273. doi: 10.1007/s11606-007-0257-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Berkowitz L. On the formation and regulation of anger and aggression: A cognitive-neoassociationistic analysis. American Psychologist. 1990;45:494–503. doi: 10.1037//0003-066x.45.4.494. [DOI] [PubMed] [Google Scholar]
  6. Bruehl S, Chung OY, Burns JW. Anger expression and pain: An overview of findings and possible mechanisms. Journal of Behavioral Medicine. 2006;29:593–606. doi: 10.1007/s10865-006-9060-9. [DOI] [PubMed] [Google Scholar]
  7. Bruns D, Disorbio JM, Hanks R. Chronic pain and violent ideation: Testing a model of patient violence. Pain Medicine. 2007;8:207–215. doi: 10.1111/j.1526-4637.2006.00248.x. [DOI] [PubMed] [Google Scholar]
  8. Burns JW, Johnson BJ, Mahoney N, Devine J, Pawl R. Anger management style, hostility and spouse responses: Gender differences in predictors of adjustment among chronic pain patients. Pain. 1996;64:445–453. doi: 10.1016/0304-3959(95)00169-7. [DOI] [PubMed] [Google Scholar]
  9. Cano A, Gillis M, Heinz W, Geisser M, Foran H. Marital functioning, chronic pain, and psychological distress. Pain. 2004;107:99–106. doi: 10.1016/j.pain.2003.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Cano A, Leonard M. Integrative behavioral couple therapy for chronic pain: Promoting behavior change and emotional acceptance. Journal of Clinical Psychology. 2006;62:1409–1418. doi: 10.1002/jclp.20320. [DOI] [PubMed] [Google Scholar]
  11. Carolina Population Center. The National Longitudinal Study of Adolescent Health. Chapel Hill: University of North Carolina; n.d. Add Health Questionnaire: Wave III—In Home Questionnaire Code Book. [Google Scholar]
  12. Coker AL, Davis KE, Arias I, Desai S, Sanderson M, Brandt HM, et al. Physical and mental health effects of intimate partner violence for men and women. American Journal of Preventive Medicine. 2002;23:260–268. doi: 10.1016/s0749-3797(02)00514-7. [DOI] [PubMed] [Google Scholar]
  13. Eckhardt CI. Effects of alcohol intoxication on anger experience and expression among partner assaultive men. Journal of Consulting and Clinical Psychology. 2007;75(1):61–71. doi: 10.1037/0022-006X.75.1.61. [DOI] [PubMed] [Google Scholar]
  14. Fang X, Corso PS. Child maltreatment, youth violence, and intimate partner violence: Developmental relationships. American Journal of Preventive Medicine. 2007;33:281–290. doi: 10.1016/j.amepre.2007.06.003. [DOI] [PubMed] [Google Scholar]
  15. Fishbain DA, Cutler RB, Rosomoff HL, Steele-Rosomoff R. Risk for violent behavior in patients with chronic pain: Evaluation and management in the pain facility setting. Pain Medicine. 2000;1(2):140–155. doi: 10.1046/j.1526-4637.2000.00013.x. [DOI] [PubMed] [Google Scholar]
  16. Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: Results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology. 1998;51:1171–1178. doi: 10.1016/s0895-4356(98)00109-7. [DOI] [PubMed] [Google Scholar]
  17. Hartwick C, Desmarais S, Hennig K. Characteristics of male and female victims of sexual coercion. Canadian Journal of Human Sexuality. 2007;16:31–44. [Google Scholar]
  18. Herrera V, Wiersma J, Cleveland H. The influence of individual and partner characteristics on the perpetration of intimate partner violence in young adult relationships. Journal of Youth and Adolescence. 2008;37:284–296. [Google Scholar]
  19. Johnson M, Ferraro K. Research on domestic violence in the 1990s: Making distinctions. Journal of Marriage and the Family. 2000;62:948–963. [Google Scholar]
  20. Jordan BK, Marmar CR, Fairbank JA, Schlenger WE, Kulka RA, Hough RL, et al. Problems in families of male Vietnam veterans with posttraumatic stress disorder. Journal of Consulting and Clinical Psychology. 1992;60:916–926. doi: 10.1037//0022-006x.60.6.916. [DOI] [PubMed] [Google Scholar]
  21. Kroenke K. The PHQ-9: A new depression and diagnostic severity measure. Psychiatric Annals. 2002;32:509–521. [Google Scholar]
  22. Larson MJ, Paasche-Orlow M, Cheng DM, Lloyd-Travaglini C, Saitz R, Samet JH. Persistent pain is associated with substance use after detoxification: A prospective cohort analysis. Addiction. 2007;102:752–760. doi: 10.1111/j.1360-0443.2007.01759.x. [DOI] [PubMed] [Google Scholar]
  23. Leonard KE, Roberts LJ. The effects of alcohol on the marital interactions of aggressive and nonaggressive husbands and their wives. Journal of Abnormal Psychology. 1998;107:602–615. doi: 10.1037//0021-843x.107.4.602. [DOI] [PubMed] [Google Scholar]
  24. Liebschutz J, Saitz R, Brower V, Keane TM, Lloyd-Travaglini C, Averbuch T, et al. PTSD in urban primary care: High prevalence and low physician recognition. Journal of General Internal Medicine. 2007;22:719–726. doi: 10.1007/s11606-007-0161-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. McWilliams LA, Cox BJ, Enns MW. Mood and anxiety disorders associated with chronic pain: An examination in a nationally representative sample. Pain. 2003;106:127–133. doi: 10.1016/s0304-3959(03)00301-4. [DOI] [PubMed] [Google Scholar]
  26. Moffitt T, Caspi A, Krueger RML, Margolin G, Silva P, Sydney R. Do partners agree about abuse in their relationship? A psychometric evaluation of interpartner aggression. Psychological Assessment. 1997;47:47–56. [Google Scholar]
  27. Newton-John TR, Williams AC. Chronic pain couples: Perceived marital interactions and pain behaviours. Pain. 2006;123:53–63. doi: 10.1016/j.pain.2006.02.009. [DOI] [PubMed] [Google Scholar]
  28. Romano JM, Turner JA, Friedman LS, Bulcroft RA, Jensen MP, Hops H, et al. Sequential analysis of chronic pain behaviors and spouse responses. Journal of Consulting and Clinical Psychology. 1992;60:777–782. doi: 10.1037//0022-006x.60.5.777. [DOI] [PubMed] [Google Scholar]
  29. Salyers MP, Bosworth HB, Swanson JW, Lamb-Pagone J, Osher FC. Reliability and validity of the SF-12 health survey among people with severe mental illness. Medical Care. 2000;38:1141–1150. doi: 10.1097/00005650-200011000-00008. [DOI] [PubMed] [Google Scholar]
  30. Schwartz L, Slater MA, Birchler GR. The role of pain behaviors in the modulation of marital conflict in chronic pain couples. Pain. 1996;65:227–233. doi: 10.1016/0304-3959(95)00211-1. [DOI] [PubMed] [Google Scholar]
  31. Stets J, Pirog-Good M. Violence in dating relationships. Social Psychology Quarterly. 1987;50:237–246. [Google Scholar]
  32. Stuart GL, Moore TM, Gordon KC, Ramsey SE, Kahler CW. Psychopathology in women arrested for domestic violence. Journal of Interpersonal Violence. 2006;21:376–389. doi: 10.1177/0886260505282888. [DOI] [PubMed] [Google Scholar]
  33. Taft CT, Pless AP, Stalans LJ, Koenen KC, King LA, King DW. Risk factors for partner violence among a national sample of combat veterans. Journal of Consulting and Clinical Psychology. 2005;73:151–159. doi: 10.1037/0022-006X.73.1.151. [DOI] [PubMed] [Google Scholar]
  34. Von Korff M, Ormel J, Keefe FJ, Dworkin SF. Grading the severity of chronic pain. Pain. 1992;50:133–149. doi: 10.1016/0304-3959(92)90154-4. [DOI] [PubMed] [Google Scholar]
  35. Walsh CA, Jamieson E, Macmillan H, Boyle M. Child abuse and chronic pain in a community survey of women. Journal of Interpersonal Violence. 2007;22:1536–1554. doi: 10.1177/0886260507306484. [DOI] [PubMed] [Google Scholar]
  36. Ware J, Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Medical Care. 1996;34:220–233. doi: 10.1097/00005650-199603000-00003. [DOI] [PubMed] [Google Scholar]
  37. White JW, Smith PH, Koss MP, Figueredo AJ. Intimate partner aggression—what have we learned? Comment on Archer (2000) Psychological Bulletin. 2000;126:690–696. doi: 10.1037/0033-2909.126.5.690. [DOI] [PubMed] [Google Scholar]
  38. Wittchen HU. Reliability and validity studies of the WHO-Composite International Diagnostic Interview (CIDI): A critical review. Journal of Psychiatric Research. 1994;28(1):57–84. doi: 10.1016/0022-3956(94)90036-1. [DOI] [PubMed] [Google Scholar]
  39. World Health Organization. Composite International Diagnostic Interview (CIDI): Version 2.1. Geneva, Switzerland: Author; 1997. [Google Scholar]

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