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Factors mediating the impacts of child abuse and intimate partner violence on chronic pain: a cross-sectional study

BMC Women's Health volume 18, Article number: 160 (2018) Cite this article

Abstract

Background

Most research on the health impacts of intimate partner violence (IPV) and child abuse has been conducted in Western countries and may not be generalizable to women living in different contexts, such as Saudi Arabia. Chronic pain, a disabling health issue associated with experiences of both child abuse and IPV among women, negatively impacts women’s well-being, quality of life, and level of functioning. Yet, the psychosocial mechanisms that explain how abuse relates to chronic pain are poorly understood. We developed and tested a theoretical model that explains how both IPV and child abuse are related to chronic pain.

Methods

We recruited a convenience sample of 299 Saudi women, who had experienced IPV in the past 12 months, from nine primary health care centers in Saudi Arabia between June and August 2015. Women completed a structured interview comprised of self-report measures of IPV, child abuse, PTSD, depressive symptoms, chronic pain, and social support. Using Structural equation modeling (SEM), we analyzed the proposed model twice with different mental health indicators as mediators: PTSD symptoms (Model 1) and depressive symptoms (Model 2).

Results

Both models were found to fit the data, accounting for 31.6% (Model 1) and 32.4% (Model 2) of the variance in chronic pain severity. In both models, mental health problems (PTSD and depressive symptoms) fully mediated the relationship between severity of IPV and child abuse and chronic pain severity. Perceived family support partially mediated the relationship between abuse severity and depressive symptoms.

Conclusions

These results underscore the significance of considering lifetime abuse, women’s mental health (depressive and PTSD symptoms) and their social resources in chronic pain management and treatment.

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Background

Violence against women is a major social and public health problem worldwide [1]. Women and girls are at increased risk of multiple forms of violence including intimate partner violence (IPV), child abuse, sexual violence during civil conflict, and trafficking [2, 3]. IPV is a pattern of physical, emotional, and/or sexual abuse by a current or former intimate partner in the context of coercive control [4]. IPV has been linked to an extensive array of health problems, including traumatic brain injury, migraines, fatigue, post-traumatic stress disorder (PTSD), and depression [5, 6]. Abused women make more health care system visits than women in the general population [1], resulting in increased costs [7]. There is evidence that experiencing child abuse increases the risk of IPV victimization and perpetration in adulthood [8, 9] and leads to various negative health conditions [10]. Research has highlighted how experiencing both child abuse and IPV leads to poorer health in comparison with experiencing a single form of abuse, providing support for the position that the effects of abuse are cumulative [11, 12]. Yet, women’s health has typically been studied primarily as a consequence of recent IPV experiences without sufficiently considering the interactive effects of previous abuse experiences [13].

Chronic pain, defined as pain that persists for longer than three months or beyond the time of usual healing [14], is a highly disabling health problem that has been linked to both IPV [15, 16] and a history of child abuse [17]. The prevalence of chronic pain among women who have experienced IPV have been found to range from 38 to 94.5% [18,19,20,21]. The negative consequences of living with chronic pain include depleted emotional reserves [22], lower quality of life [23], poorer interpersonal and family functioning [24], and decreased productivity [25]. Disability related to chronic pain is common among abused women and limits their ability to carry out important social roles and lead satisfying lives [20, 26]. At the system level, chronic pain is costly as a result of healthcare utilization [27].

Chronic pain is thought to result from the complex and dynamic interplay of physiological, psychological and social factors [25, 26]. Exposure to chronic stressors or trauma have been found to result in prolonged activation of the stress system leading to allostatic load [27]. A possible consequence of allostatic load is dysfunction of hypothalamic-pituitary-adrenal (HPA) axis [28] which induces alterations in cortisol level [29] and pro-inflammatory cytokine levels [30] and leads to deficiencies in tissue repair, impairment in immune system, atrophy of muscle tissue, and excessive inflammation observed in chronic pain [29, 31]. In the context of IPV, chronic pain can be understood as a biopsychosocial response to abuse. Specifically, among women experiencing IPV, chronic pain may result from neuropathic alterations associated with abuse related-injuries [32] and/or to HPA axis dysfunction [33], abnormal levels of cortisol [34], and alterations in pro-inflammatory cytokine levels [35] previously described that are consequences of living with both trauma and the chronic stress associated with IPV. Research on the physiological origins of chronic pain among IPV survivors has generated important insights, yet the complex psychosocial pathways that connect severity of abuse with chronic pain are still poorly understood. Specifically, knowledge about modifiable psychosocial mediators of the relationship between severity of abuse and chronic pain could inform clinical interventions to better manage chronic pain or reduce its disabling impacts for women. Moreover, most of existing evidence is based on research in Western countries and may not be generalizable to women living in different socio-cultural contexts.

Women’s mental health and access to social support may be important mediators of the relationship between experiences of abuse and severity of chronic pain, yet there are substantial gaps in knowledge about whether and how these factors acts as mediators. Depression and PTSD are common mental health consequences of both IPV and past child abuse experiences [36,37,38]. Research has documented the co-occurrence of chronic pain with both PTSD [39] and depression [40] in various populations, including women with histories of IPV [41, 42]. Depression has been identified as a risk factor for the onset of chronic pain and disability-related to pain [40, 43] such that higher levels of depressive symptoms are associated with more severe chronic pain [44]. Among IPV survivors, PTSD symptoms have been found to predict chronic pain [45] and to mediate the relationships between both a history of child abuse [46] and chronic pain, and IPV and chronic pain [47]. Few studies have examined whether depressive symptoms mediate the impact of IPV on chronic pain, and these studies have produced inconsistent findings. While Wuest and colleagues [48] found that depressive symptoms significantly mediated the relationships between both child abuse and IPV and chronic pain among Canadian women, no evidence of mediation was found between IPV and chronic pain among Chinese women [16].

Whether symptoms of depression and PTSD mediate the impact of abuse on chronic pain in similar or different ways is unclear. Although PTSD and depression often co-occur in people who have experienced trauma [49], they are generally considered to be distinct reactions to traumatic events [50, 51]. However, some have argued that co-occurring PTSD and depression is a single traumatic stress construct [52, 53]. Studies that test whether depressive and PTSD symptoms mediate the relationship between abuse and chronic pain in the same sample, and compare the strength of mediation, could contribute unique evidence to this ongoing debate.

Social support, the perception that emotional support and/or practical assistance is available from family members and friends [44], is an important determinant of health that may also mediate the pathway between abuse and chronic pain. IPV often decreases women’s access to social support because abusive partners intentionally isolate women [54] and women may distance themselves from their social networks due to feelings of shame, humiliation, and guilt [55, 56]. Abused women’s perceptions of social support have been negatively associated with a wide range of health problems, including symptoms of PTSD [57] and depression [58]. A history of child abuse has been associated with poorer perceived social support in adulthood [59] and, consequently to the development of health problems among women [60]. Social support has been found to mediate the relationship between abuse experiences and symptoms of PTSD [61], depression [62, 63], somatic complains [64], and general mental and physical health [65], but some studies have failed to find support for mediation [66, 67]. Whether social support mediates the impact of child abuse and IPV on chronic pain has not been examined. In addition, the distinction between support from family members and friends is considered to be imperative, as different populations depend on different sources of support [68]. For example, in Saudi society, family members are the main providers of social support [69]. Furthermore, the impacts of support from family members versus friends may differ.

Although the body of research on the health consequences of IPV is substantial, it might not applicable to Saudi women. Indeed, whether the health consequences of IPV vary cross-culturally has not been well studied. Given that IPV is shaped by the social context in which it occurs, research must be conducted in ways that take these different contexts into account [70]. The socio-cultural context that shapes child abuse, IPV and women’s health in Saudi Arabia might differ from Western countries, and these differences could lead to variations in health outcomes for women. In the few studies [71,72,73] examining the health outcomes of IPV in Saudi Arabia, researchers have not used well-established measures or tested the mechanisms by which abuse leads to these health issues. In health care settings, there remains a strong focus on treating physical injuries associated with abuse [74] with limited attention given to the broader mental and physical health impacts of abuse as manifestations of trauma and chronic stress. Evidence about the nature and impacts of IPV among women could increase recognition of IPV as a public health matter that needs action on multiple levels. The lack of a comprehensive understanding about IPV and its outcomes in the Saudi context might lead to health services that undermine women’s health.

To address these gaps, the study aimed to identify the direct and indirect pathways linking child abuse and IPV to chronic pain severity among Saudi women experiencing IPV. We developed a conceptual model informed by Pearlin’s Stress Process Model (SPM), a longstanding sociological framework that addresses how chronic stress impacts health and factors that mediate this process [75]. A shown in Fig. 1, we hypothesized that severity of both IPV and child abuse would affect chronic pain severity directly and, indirectly, through their effects on women’s mental health problems (PTSD and depressive symptoms) and perceived family support (mediators in the model). Specifically, we proposed that more severe child abuse and IPV are related to increased mental health problems (PTSD and depressive symptoms), and to lower perceived family support, each of which are related to more severe chronic pain. We also hypothesized that perceived family support would affect chronic pain indirectly through its impact on mental health problems.

Fig. 1
figure1

Hypothesized structural equation model derived from the Stress Process Model

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Method

A cross-sectional, predictive observational study was conducted to examine the complex relationships between severity of child abuse, IPV severity, perceived family support, PTSD symptoms, depressive symptoms and chronic pain severity. To test whether PTSD and depressive symptoms are distinct reactions to traumatic events (i.e. child abuse, IPV), the model was analyzed twice with different mental health variables (PTSD symptoms in Model 1, depressive symptoms in Model 2). Symptoms of PTSD and depression were not included as one latent variable because these mental health issues have different profiles [50, 76].

Setting and sample

Between June and August 2015, we recruited a convenience sample of married Saudi women, who were between the ages of 18 and 64 years and had experienced IPV in the past 12 months. We screened 774 women for IPV and 311 (40.2%) of those screened had a positive result. Six of 311 women who screened positive for abuse were not willing to participate, resulting in 305 women (98% of those eligible) who agreed to participate. We excluded six women, four of these with missing data ranging from 20.7 to 71.4% on the main variables and two cases in which women answered ‘never’ to all items on the measure of abuse used in this study, despite having screened positive for IPV. Thus, the total sample for the study was 299 women. The sample size was based on the use of structural equation modeling (SEM) for the statistical analysis. According to Kline [77], a minimum sample of 200 is needed to test simple models using SEM, with more complex models requiring larger samples to produce stable estimate estimates and, therefore, more accurate results [78].

The study took place in nine primary health care centers (PHC) in Saudi Arabia. Eight of these centers were in the Eastern Province and one center was located in the capital city Riyadh. These centers provide free curative, preventive, promotive and rehabilitation services including maternal and child health, immunizations, management of chronic diseases (e.g. hypertension and diabetes), provision of essential drugs, and health education. Women were initially asked about their interested in taking part in a women’s health study by a member of the health care team. A member of the research team screened those who were interested for eligibility in a private clinic room. Exposure to IPV was confirmed using the Abuse Assessment Screen (AAS) [79], which has been widely used and validated in many settings with pregnant and non-pregnant women [65, 80,81,82] and also translated to various languages [83, 84]. In this study, the Arabic version of AAS [85] was used as it has a good evidence of reliability [86, 87], but was adapted to be used with non-pregnant women. It included four items capturing physical abuse, forced sex, fear of partner, and experiences of coercive control. At least one affirmative response to the AAS was considered positive for IPV. Eligible women were provided with a description of the study and invited to participate; ineligible women were thanked for their interest.

Study procedures

Informed written consent was obtained from all participants prior to data collection. The letter of information was read to women who could not read or write, and they were asked to provide a thumb print to indicate consent in lieu of a signature. Data were collected using structured interviews (SI) that consisted of standardized self-reported measures and survey questions designed to elicit information about women’s experiences of IPV, health, resources, and demographic characteristics, which included age, education, employment, income, years of marriage, and number of children. The interviews took, on average, 20 to 40 min to complete and were conducted in a private room at the primary health care center. Safety guidelines were used to guide the process of data collection. To protect women safety, we introduced the study as a women’s health study and we asked the women not to share the nature or the content of the interview with anyone. We did not screen or interview women in front of anyone, including children older than two years of age. Woman who showed signs of distress during the interview, were offered a break and support while maintaining eye contact. At the end of interview, researchers also used a standard debriefing protocol to discuss the signs of a stress reaction and how women could care for themselves if distressed. Women who disclosed suicidal thoughts or behaviors, were assessed using a suicide assessment and if they were at risk of suicide, the attending physician in the center was informed [65]. Some women were linked with the clinic social worker if additional assistance was needed to manage distress or access services. Each woman received a gift certificate of 50 SR from a local grocery store as a token of appreciation. Ethics approval was obtained from the Research Ethics Board at Western University and Institutional Review Board (IRB) for both Ministry of Health and King Abdullah International Medical Research Center (KAIMRC)/MNGHA in Saudi Arabia prior to recruitment.

Measurement

Data were collected using six established self-report measures, each of which has demonstrated reliability and validity, along with survey questions, to gather demographic information. All measures were originally created and tested by English. In this study, Arabic versions of each scale were used; as described below, these Arabic measures were either tested in previous research or in this study with good evidence of reliability and validity.

IPV severity

A 27-item Arabic version of the Composite Abuse Scale [88] was used to measure severity of IPV. The Original 30-item Composite Abuse Scale is a self-report measure of IPV experiences [75] that asks women to rate how often in the past 12 months they experienced abusive actions on a 6-point likert scale ranging from never (0) to daily (5). Responses to individuals items are summed to produce total scores, and scores for four dimensions of abuse: Severe Combined Abuse, Emotional Abuse, Physical Abuse, and Harassment [89]. The total score is a continuous measure of IPV severity, where higher scores indicate more severe IPV. Hegarty et al. suggest the use of a total score ≥ 3 as the cut-off for case finding in general practice, such that women who score 3 and above are considered to be experiencing abuse [75]. The CAS has been used to measure IPV among clinical populations in different countries [90, 91]. The Arabic version of the CAS was adapted and translated from the English version while retaining the same format as the original CAS [92]. In the initial development, 29 of 30 items was included; one sexual abuse item (puts foreign objects in my vagina) was removed because it was seen as inappropriate to the Saudi culture [92]. This and other sexual abuse items have been critique and modified or replaced in other studies conducted in Western contexts [93, 94]. Subsequently, factor analysis of the Arabic CAS revealed that 27 items distinguished four different types of abuse (physical abuse, verbal abuse, sexual abuse and controlling behavior) and demonstrated evidence of validity [88]. Internal consistency reliability of the total score for these 27 items was .903, with subscales demonstrating excellent to good internal consistency (alpha = .78 to .91). Based on these results, the manifest variable severity of IPV was measured in this study using the total score on the 27-item Arabic CAS.

Severity of child abuse

The Arabic version of the Childhood Trauma Questionnaire (CTQ) [95] was used in this study to measure severity of child abuse. The CTQ [96] is a 28-item self-report measure that provides brief screening for histories of child abuse. Participants are asked to indicate the frequency of events in 5 areas (i.e. physical, sexual, and emotional abuse, physical and emotional neglect) on a 5-point likert scale ranging from never (1) to very often true (4). The CTQ has demonstrated strong reliability in different populations [97, 98], including women exposed to IPV [99]. The Arabic version of the CTQ was translated into the Arabic language and pilot tested with a sample of 40 Arab graduate students living in Great Britain by Al-Zahrani [95]. As a result of pilot testing, Al-Zahrani changed the five sexual abuse item to one indirect question (“I was subjected to an immoral situation that has negatively affected my personality”). In this study, the original 5 sexual abuse items were included after translating them to Arabic and conducting a pilot study to test the full scale with a sample of 30 Arab immigrant women living in Canada. In that pilot study, Cronbach’s alpha ranged from 0.87 to 0.92. In this current study, Cronbach’s alpha ranged between 0.78 to 0.85. The latent variable severity of child abuse was constructed using total scores from three CTQ subscales (physical, emotional, and sexual abuse). Items from the 2 neglect subscales were not included because this study is focused on abuse experiences. Neglect is conceptualized as the failure of caretakers to provide for a child’s basic physical and emotional needs (e.g. food, shelter, love, belonging, and support) [100]. However, this failure might not be intentional, but could be link to poverty or other factors that are out of a parent’s control.

PTSD symptoms

The Arabic version of PTSD Checklist-Civilian version (PCL-C) [101] was used to measure PTSD symptoms. The original PCL-C [102] is a 17-item self-report summated rating scale that corresponds to the three DSM-IV symptom clusters of re-experiencing (5 items), avoidance/numbing (7 items), and hyperarousal (5 items). Respondents are asked how much they have been bothered by each PTSD symptom in the past month on a 5-point severity scale ranging from not at all (1) to extremely (5). Responses to all items are summed to yield a continuous measure of PTSD symptom severity (range 17–85) with higher score indicating more severe PTSD symptoms. The PCL-C has proven suitable for use in varied populations who have experienced trauma [103, 104], including women who have experienced IPV [105]. In this study, Cronbach’s alpha was 0.89 for the total score. The manifest variable PTSD symptoms was measured using the total the PCL-C continuous score.

Depressive symptoms

The Arabic version of 20-item Center for Epidemiologic Studies-Depression (CESD) Scale [106] was used. The CESD [107, 108] is a self-report scale designed to measure depressive symptoms in the general population and reflects the DSM-IV criteria for depression. Respondents are asked to rate the frequency of symptoms experienced in the past week on a 4-point likert scale ranging from rarely or none (1) to most of the time (4). The most widely used self-report measure of depressive symptoms, the CESD has established reliability and validity with different populations [65, 109]. The Arabic version of the CESD retains the original format and response options [106] and has demonstrated adequate internal consistency (alpha = .84, .88) in studies of Arabic women [106, 110]. Cronbach’s alpha in this study was 0.86. The manifest variable of depressive symptoms was measured using the total CESD score.

Chronic pain severity

To measure chronic pain severity, the Arabic version of 7-item Chronic Pain Grade (CPG) scale [111] was used after translating it to Arabic and pilot testing it. The CPG scale measures chronic pain in the past six months [112]. Participants are asked to rate their current pain intensity, worst pain intensity, and average pain intensity in past 6 months on scales ranging from 0 (no pain) to 10 (pain as bad as it could be). Participants also rated pain-related interference with daily activities, change in ability to take part in activities, and change in ability to work on scales ranging from 0 (no change) to 10 (extreme change). Using standard scoring, the pain intensity score (0–100) is calculated by multiplying the mean of the three intensity items by 10. Similarly, the pain disability score (0–100) is calculated by multiplying the mean of the three disability items by 10. Four grades of chronic pain can also be derived by combining the number of disability points and pain intensity scores: Grade 0 (pain free); Grade I (low disability, low intensity); Grade II (low disability, high intensity); Grade III (high disability, moderately limiting); Grade IV (high disability, severely limiting). The CPG has demonstrated strong reliability and validity among primary care patients [112], general population [113], and women who have experienced IPV [16, 47]. The pilot testing with Arab immigrant women showed that the internal consistency reliability of CPG was acceptable (.93 for pain intensity and .97 pain disability) [111]. In the current study, internal consistency was 0.87 for the pain intensity scale and 0.91 for the pain disability scale, suggesting adequate internal consistency. In this analysis, the latent variable chronic pain was constructed using the pain intensity and pain-related disability scores to capture the severity of chronic pain.

Perceived family support

The Arabic version of family support subscale of the Multidimensional Scale of Perceived Social Support [114] was used to measure perceived family support. The Multidimensional Scale of Perceived Social Support (MSPSS) [115] is a 12-item summated rating scale that measures of the adequacy of perceived social support from family (4 items), friends (4 items) and a significant other (4 items). All items are rated on a 7-point scale ranging from very strongly disagree (1) to very strongly agree (7). Item responses are summed to produce total and subscale scores, where higher scores indicate greater perceived adequacy of social support. There is evidence of reliability and validity of the MSPSS in different samples [116, 117]. The Arabic version of MSPSS uses a 3-point rating scale (disagree, neutral, agree) instead of 7-point rating scale because researchers and cultural experts agreed that Arabs are less likely to use middle response categories when presented with this many options [114]. In this study, only the family subscale score was used because family relationships are seen to be of greater importance than relationships with friends in the Arab world [69]. Internal consistency of the family support scale was 0.865.

Analysis

Structural equation modeling (SEM) was used to test the hypothesized model. Prior to the main analysis, the extent and magnitude of missing data were explored. Missing data occurred at a low frequency across all scales (range from 0 to 0.7%) and missing completely at random (MCAR, based on a non-significant Little’s test [118]. Therefore, missing values on scales were imputed using the woman’s average score on that scale. This approach is appropriate because people are usually internally consistent across a set of items that form a scale; furthermore, this strategy allowed all cases to be retained for analysis [119].

Descriptive statistics were computed for all manifest variables and indicators of latent variables (Table 1) to assess normality of the distributions. According to Kline [77], data are non-normal if the skewness index (SI) > 3 and kurtosis index (KI) > 10. Descriptive statistics showed that the assumptions of multivariate normality were not met. The correlations among the variables were inspected and suggested no evidence of multicollinearity (Table 2).

Table 1 Descriptive statistics for manifest variables and indicators of latent variables (N = 299)
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Table 2 Pearson Correlation among Measured Variables
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Using MPLUS version 7 [120], the robust maximum likelihood (RML) method was used to correct the standard errors for some non-normality in the data. In the analysis, severity of child abuse and severity of IPV were allowed to correlate. The analysis was run twice with different indicators of mental health problems in each model (i.e. PTSD symptoms in Model 1 and depressive symptoms in Model 2) because PTSD and depressive symptoms are proposed to be distinct reactions to traumatic events and, therefore, might play different mediating roles. The fit indices root-mean-squared error of approximation (RMSEA), standardized root mean squared residual (SRMR), comparative fit index (CFI), Tucker–Lewis Index (TLI), and chi-squared indices were used to assess fit or each model with the data. The critical values for assessing model fit for CFI and TLI are .90 for adequate fit and ≥ .95 for excellent fit. For RMSEA, a value of .08 indicates adequate fit while ≤.06 indicates excellent fit [121]. Standardized path coefficients (β) were examined to enable comparisons of paths within models while unstandardized coefficients (B) were used to compare the strength of paths across the models [77]. The standardized path coefficients reflect the “pure” associations between the variables, controlling for other variables in the model. Given the present sample size and the complexity of the model, women’s demographic characteristics were not controlled for and/or included in the models.

Results

Demographic characteristics of the sample are summarized in Table 3. The mean age of participants was 36.1 years (SD = 10.20, range 18–64), the vast majority of whom (92.3%) were mothers. Women’s educational backgrounds varied widely from those who were unable to read and write (10.9%) to those who had earned a university/college degree. Only 22.7% of women were employed and the mean of their personal income was 1702 Saudi Riyal (SR) per month (SD = 3522 SR). Women’s estimated monthly household incomes ranged from 0 to 53,000 SR with a mean 9455 SR (SD = SR 7324). However, 5.6% of women did not know their husband’s income. Of interest, although all women screened positive for IPV, only 31.4% of women reported that they believed that their husbands were abusive.

Table 3 Profile of Demographic Characteristics of the Sample (N = 299)
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As shown in Tables 1, 96.7% of women met the threshold for IPV on the CAS using Hegarty’s guideline (total score ≥ 3 is the cut-off), while between 30.4 and 45.5% of women had experienced abuse as children. Scores on standardized health measures suggest a profile of substantial health problems. Rates of mental health problems were very high, with 75.6% and 78.6%women reporting symptoms consistent with PTSD and depression, respectively. Almost half of women in this sample were living with high disability chronic pain.

Measurement model

Standardized factor loadings for the latent measures (child abuse and chronic pain) were statistically significant and of substantial magnitude (0.416–0.952) (Figs. 2 and 3), providing support for the measurement model. There were no unreasonable parameter estimates, such as negative variances or correlations greater than one, and all appeared to be in the expected range of values.

Fig. 2
figure2

Structural equation model with manifest variables, latent variables, measures, and standardized (unstandardized) path coefficients (Model 1). *P < 0.05

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Fig. 3
figure3

Structural equation model with manifest variables, latent variables, measures, and standardized path coefficients (Model 2) *P < 0.05

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Model fit

Using SEM, Model 1 (using PTSD symptoms as an indicator of mental health) was found to adequately fit the data, χ2 (13, N = 299) = 37.581 (P = 0.003), CFI = 0.957, TLI = 0.907, RMSEA = 0.080 (90% CI: .051–.110), SRMR = 0.027. Model 2 (using depressive symptoms) was an excellent fit with the data, χ2 (13, N = 299) = 22.653 (P = 0.046), CFI = 0.983, TLI = 0.964, RMSEA = 0.050 (90% CI: .007–.083), SRMR = 0.022. The modification indices for both models were below 4 and theoretically unreasonable. Since both proposed models accounted adequately for the observed co-variances among the variables, they were retained without modification.

Direct versus indirect effects of IPV and child abuse

Model 1 accounted for 27.2% of the variance in PTSD symptoms and 31.6% of the variance in chronic pain severity. Standardized regression coefficients (β) and unstandardized coefficients (B) for each path, along with p values, are shown in Fig. 2 and Table 4. Neither IPV severity nor child abuse severity exerted direct effects on chronic pain. As hypothesized, but both IPV severity (β = 0.360) and child abuse severity (β = 0.223) had significant positive direct effects on PTSD symptoms. Furthermore, PTSD symptoms mediated the effects of both IPV severity (β = 0.175) and child abuse severity (β = 0.108) on chronic pain. In addition, direct negative effects of both IPV severity (β = − 0.208) and child abuse severity (β = − 0.247) on perceived family support were observed, and perceived family support had a negative direct effect on PTSD symptoms (β = − 0.115). However, perceived family support did not mediate the effects of either IPV or child abuse on PTSD symptoms or chronic pain.

Table 4 Effect estimates for Model 1 (with PTSD Symptoms)
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Model 2 accounted for 33.2% of the variance in depressive symptoms and 32.4% of the variance in chronic pain severity. Standardized and unstandardized coefficients for each path, along with p values, are shown in Fig. 3 and Table 5. While direct effects were not observed between either IPV severity or child abuse severity and chronic pain, both of these variables had direct effects on depressive symptoms (β = 0.417, β = 0.132, respectively). In addition, depressive symptoms was mediated the effects of both IPV severity (β = 0.216) and child abuse severity (β = 0.068) on chronic pain. While perceived family support had a direct negative effect on depressive symptoms (β = − 0.216), it was also a significant mediator of the effects of both IPV (β = 0.046) and child abuse (β = 0.053) on depressive symptoms.

Table 5 Effect estimates for Model 2 (with Depressive Symptoms)
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Comparing model 1 and model 2

In comparing the two models using unstandardized coefficients (B), PTSD and depressive symptoms operated in similar ways as mediators, but the magnitude of effects differed. Both PTSD (B = 0.206) and depressive symptoms (B = 0.426) were significant mediators of the effects of IPV severity on chronic pain severity, but depressive symptoms had a stronger mediating effect than PTSD symptoms. Similarly, PTSD (B = 0.800) and depressive symptoms (B = 0.515) mediated the relationship between child abuse severity and chronic pain severity, yet PTSD symptoms had stronger mediating effect than depressive symptoms. The direct effects of PTSD and depressive symptoms on chronic pain were more consistent (B = 0.726; B = 0.882, respectively), although the effect of depressive symptoms was slightly stronger.

Discussion

The results of this study make a unique contribution to existing knowledge in several ways. First, these results provide the first evidence about the magnitude of mental health problems and chronic pain among Saudi women and the mechanisms by which abuse is related to chronic pain in this context. Specifically, results of this study reinforce the contribution of lifetime abuse (IPV and child abuse) in predicting the mental health of women who have experienced IPV, and, subsequently to severity of chronic pain. Furthermore, to our knowledge, this is the first study to compare how PTSD and depressive symptoms mediate the relationships between both child abuse and IPV, and chronic pain. The finding that both PTSD and depressive symptoms fully mediated the effects of IPV and child abuse severity on chronic pain in similar ways extends current knowledge about the unique contributions of these mental health problems in the development and continuation of chronic pain.

The finding that PTSD and depressive symptoms mediated the relationship between abuse severity and chronic pain is consistent with the existing literature [16, 46,47,48]. The relationship of PTSD and depression with chronic pain could be explained by neuro-hormones, neurotransmitters, and inflammatory changes as well as brain alterations that are involved in PTSD and depression and which also play role in pain pathophysiology [39, 122]. In contrast, Tiwari et al. did not find a mediating effect of depressive symptoms and Humphreys et al. found that only depression, not PTSD, predicted chronic pain, although neither study included child abuse in their analyses. Including cumulative experiences of abuse, such as child abuse with IPV in the multivariate analysis might provide a more complex understanding of the actual pathways explaining how women develop health outcomes as a consequence of experiences of abuse [123] by disentangling the unique causal effect of recent and past abuse experiences on health outcomes.

The finding that IPV exerted stronger effects than child abuse on women’s mental health (PTSD and depressive symptoms) can be understood in several ways. These results can be explained by existing evidence that child abuse results in an intense inflammatory response [124] and hyperactivity of the central nervous system; in adulthood, subsequent stress leads to neurobiological vulnerability for the development of stress-related psychiatric disorders [125]. These findings offer further support to the understanding that both distal and proximal abuse experiences can lead to enduring long-term health issues [11]. Collectively, these findings reinforce the importance of including child abuse when studying the health consequences of IPV, since women often experience different types of abuse over their lifetimes with cumulative impacts [12, 13].

This current study contributes to the body of the literature by assessing whether PTSD and depressive symptoms operate in different or similar ways. While both PTSD and depressive symptoms are separate reactions to traumatic events [51, 76], our findings show that, while they both mediate the relationship between abuse and chronic pain, there were differences in the magnitude of effect for each type of abuse. Depressive symptoms was a stronger mediator of the impact of IPV on chronic pain than was PTSD symptoms. In contrast, PTSD symptoms had stronger mediating effect on the relationship between child abuse severity and chronic pain than did depressive symptoms. These findings are noteworthy because they begin to identify the extent to which PTSD and depressive symptoms uniquely shape chronic pain among survivors of child abuse and IPV. On one hand, these findings highlight the independent effects of PTSD and depressive symptoms on the experience of chronic pain, which contradicts the assumption that PTSD and depressive symptoms are a single traumatic stress construct [52, 53]. On the other hand, 74.2% of women in this sample had symptoms consistent with both PTSD and depression based on standard cut-scores on measures of these mental health problems. In the Saudi context, mental health is seen as a social shame, which could be undiagnosed and untreated [126] and this may partly explain high rates of PTSD and depressive symptoms in this current sample. It is possible that the high comorbidity of PTSD and depression in the study sample may explain why PTSD and depressive symptoms operated in similar ways as mediators. Additional research is needed to more fully examine this issue.

The findings that both IPV severity and child abuse severity had significant direct effects on PTSD and depressive symptoms is consistent with a large body of evidence on the mental health consequences of abuse [36, 127]. However, this study’s findings make a unique contribution to existing evidence because the majority of previous studies have not assessed the pathways between abuse and mental health and have focused on one type of abuse (i.e. IPV or child abuse). Furthermore, the study extends this evidence to be inclusive of Saudi women, a population in which the health consequences of IPV have not been previously studied.

In this study, perceived family support mediated the relationship between abuse and depressive symptoms but did not mediate the effect of abuse on PTSD symptoms. This finding reinforces the idea that women’s social resources are crucial in managing their depressive symptoms. It also suggests that different mechanisms may underlie the direct and indirect impacts of abuse on PTSD symptoms versus depressive symptoms. Specifically, perceived family support may be central to depressive symptoms, but not PTSD symptoms. This could be explained by the fact that PTSD symptoms are linked directly to trauma severity [128, 129], while depressive symptoms can be linked to many factors, including social resources [130]. Moreover, PTSD symptoms often go unrecognized by family members and health care providers [131], whereas depressive symptoms are better recognized by as a legitimate health issue, resulting in greater likelihood that family may offer help and support. For example, 51.6% of Canadian women who left abusive partners had symptoms consistent with PTSD but only 7.1% had a diagnosis [20].

Our results show that abuse severity impacts women’s mental health which, in turn, leads to chronic pain, a finding that supports the interaction among physiologic, psychological, and social factors in the production of chronic pain. These findings highlight the interconnection between mind and body, with important implications for how abuse experiences are treated in the health care system. Specifically, our findings underscore the necessity of health care providers understanding the relationships among the severity of abuse, mental health, and chronic pain as a foundation for providing good clinical care. Assessing for abuse experiences as well as identifying and treating PTSD and depression are important strategies that may decrease experiences of chronic pain among IPV and child abuse survivors.

In this current sample, 75.6% and 78.6% of women has symptoms above the cut-off scores for PTSD and depression measures, respectively. In addition, 48.2% of women were living with highly disabling chronic pain. These findings confirm the high prevalence of mental health and chronic pain issues in the current sample. Since there is limited understandings of IPV health consequences in Saudi society, documenting the physical and mental health outcomes of IPV may be useful in raising awareness of these issues among health professionals. As such, result of this study may contribute to recognizing that violence is a health issue worthy of the time and attention of Saudi health professionals. As recommended by the World Health Organization [132], identification of women who have experienced IPV can be achieved using a case-finding approach in which women who are suspected to be victims of abuse (based on risk factors or presentation) are assessed for these experiences. In the context of IPV, effective case finding requires that health professionals have knowledge about risk factors for IPV and the skills to intervene and address health problems and safety issues in ways that are trauma-informed [133]. Yet, future research should examine the effectiveness of a case-finding approach on women’s health, quality of life, and victimization. Treatments for women’s mental health issues found to be effective in the context of IPV, including psychological support and counselling [134], need to be offered to women in health care settings. The finding support the need for primary prevention of abuse and intervention programs should be designed. Thus, health-based interventions need to draw on women’s social networks to help them manage mental health symptoms. There are some promising interventions in this area. For example, a three-phased intervention program for IPV survivors showed a reduction in psychological symptoms and increasing in perceived social support [135]. Positive effects on social isolation and social networking were also found in a group interventions program for women experiencing IPV that used a cognitive-behavioral approach [136]. Social service providers also need to be aware that abused women might experience mental and physical health issues and be prepared to make referrals for health care.

The results of this study should be considered in light of some limitations. This study relied on retrospective self-reports of child abuse and IPV experiences which may result in bias. Self-report measures are often subject to social desirability and people are more likely to minimize their abuse experiences rather than make them up [137, 138], particularly in a context where IPV is a taboo issue. Given the sample size and the complexity of the model that was tested, important factors, including women’s demographic characteristics, personal resources, medications and/or current medical conditions, which might influence health outcomes, were not included in the tested model. Thus, future research needs to consider including demographic characteristics to these models and testing them with larger samples.

Given that chronic pain is a complex biopsychosocial phenomenon, future research should focus on testing explanations about the development and persistent of chronic pain that integrate both biophysical and psychosocial factors. For example, the inclusion of cortisol, an important biomarker for PTSD [139] and depression [140], would benefit future research. As well, measuring pro-inflammatory cytokine and prostaglandin synthesis could provide objective evidence of experiencing pain because they both influence inflammation [141] and the sensitivity of pain receptors [142]. While the use of retrospective data on women’s experiences of child abuse and IPV strengthens the evidence for causal associations between abuse and health outcomes, the cross-sectional study design limits the ability to infer causation to statistical prediction; longitudinal, predictive models are needed to more fully test these and other models. Although a convenience sampling was used, women were recruited from nine primary health care centers located in different neighborhoods, and serving populations with a range of socioeconomic statuses, allowing for greater generalizability of the study findings.

Conclusion

The finding highlights the significant effects of both IPV and child abuse on women’s mental and physical health. The current study provides evidence through multivariate analysis that both PTSD and depressive symptoms mediate the impacts of IPV severity and child abuse severity on chronic pain severity among women. PTSD and depressive symptoms operate independently as mediators and in similar ways, but with different magnitudes. In addition, perceived family support mediated the relationship between abuse severity and depressive symptoms. These findings underscore the importance of attending to lifetime abuse and depressive and PTSD symptoms, as well as women’s social resources, in chronic pain management and treatment. As well, tailoring health interventions that target women’s social support system and mental health symptoms is important.

Abbreviations

CAS:

Composite Abuse Scale

CESD:

Center for Epidemiologic Studies-Depression

CPG:

Chronic Pain Grade

CTQ:

Childhood Trauma Questionnaire

IPV:

Intimate partner violence

MSPSS:

Multidimensional Scale of Perceived Social Support.

PCL-C:

Posttraumatic stress disorder Checklist-Civilian version

PTSD:

Post-traumatic stress disorder

References

  1. 1.

    García-moreno C, Zimmerman C, Morris-gehring A, Heise L, Amin A, Abrahams N, et al. Addressing violence against women : a call to action. Lancet. 2015;385:1685–95.

    PubMed  Article  Google Scholar 

  2. 2.

    Devries KM, Mak JY, Bacchus LJ, Child JC, Falder G, Petzold M, et al. Intimate partner violence and incident depressive symptoms and suicide attempts: a systematic review of longitudinal studies. PLoS Med. 2013;10:3–5.

    Article  Google Scholar 

  3. 3.

    Watts C, Zimmerman C. Violence against women: global scope and magnitude. Lancet. 2002;359:1232–7.

    PubMed  Article  Google Scholar 

  4. 4.

    Tjaden P, Thoennes N. Extent, nature, and consequences of intimate partner violence: findings from the National Violence against Women Survey. Washington, DC: National Institute of Justice; 2000.

    Google Scholar 

  5. 5.

    Dillon G, Hussain R, Loxton D, Rahman S. Mental and physical health and intimate partner violence against women: a review of the literature. Int J Family Med. 2013;2013:1–15.

    Article  Google Scholar 

  6. 6.

    Wong J, Mellor D. Intimate partner violence and women’s health and wellbeing: impacts, risk factors and responses. Contemp Nurse. 2014;46:170–9.

    PubMed  Article  Google Scholar 

  7. 7.

    Varcoe C, Hankivsky O, Ford-gilboe M, Wuest J, Wilk P, Hammerton J, et al. Attributing selected costs to intimate partner violence in a sample of women who have left abusive partner: a social determinants of health. Can. Public Policy. 2011;37:359–80.

    Google Scholar 

  8. 8.

    Thompson RS, Bonomi AE, Anderson M, Reid RJ, Dimer JA, Carrell D, et al. Intimate Partner Violence. Prevalence, Types, and Chronicity in Adult Women. Am J Prev Med. 2006;30:447–57.

    PubMed  Article  Google Scholar 

  9. 9.

    Capaldi DM, Knoble NB, Shortt JW, Kim HK. A systematic review of risk factors for intimate partner violencie. Partner Abuse. 2012;3:231–80.

    PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The adverse childhood experiences (ACE) study. Am J Prev Med. 1998;14:245–58.

    CAS  Article  Google Scholar 

  11. 11.

    Richmond JM, Elliott AN, Pierce TW, Alexander AA. Polyvictimization, childhood victimization, and psychological distress in college women. Child Maltreat. 2009;14:127–47.

    PubMed  Article  Google Scholar 

  12. 12.

    Scott-Storey K. Cumulative abuse: do things add up? An evaluation of the conceptualization, operationalization, and methodological approaches in the study of the phenomenon of cumulative abuse. Trauma Violence Abuse. 2011;12:135–50.

    PubMed  Article  Google Scholar 

  13. 13.

    Davies L, Ford-Gilboe M, Willson A, Varcoe C, Wuest J, Campbell J, et al. Patterns of cumulative abuse among female survivors of intimate partner violence: links to women’s health and socioeconomic status. Violence Against Women. 2015;21:30–48.

    PubMed  Article  Google Scholar 

  14. 14.

    Institute of Medicine (2011). Relieving pain in America A Blueprint for Transforming Prevention, Care, Education, and Research. Washington.

  15. 15.

    Humphreys J, Cooper BA, Miaskowski C. Differences in depression, posttraumatic stress disorder, and lifetime trauma exposure in formerly abused women with mild versus moderate to severe chronic pain. J. Interpers. Violence. 2010;25:2316–38.

    PubMed  Article  Google Scholar 

  16. 16.

    Tiwari A, Fong DYT, Chan C-H, Ho P-C. Factors mediating the relationship between intimate partner violence and chronic pain in Chinese women. J. Interpers. Violence. 2013;28:1067–87.

    PubMed  Article  Google Scholar 

  17. 17.

    Anda R, Tietjen G, Schulman E, Felitti V, Croft J. Adverse childhood experiences and frequent headaches in adults. Headache. 2010;50:1473–81.

    PubMed  Article  Google Scholar 

  18. 18.

    Sutherland CA, Bybee DI, Sullivan CM. Beyond bruises and broken bones: the joint effects of stress and injuries on battered women’s health. Am J Community Psychol. 2002;30:609–36.

    PubMed  Article  Google Scholar 

  19. 19.

    Campbell J, Jones AS, Dienemann J, Kub J, Schollenberger J, O’Campo P, et al. Intimate partner violence and physical health consequences. Arch Intern Med. 2002;162:1157–63.

    PubMed  Article  Google Scholar 

  20. 20.

    Wuest J, Merritt-Gray M, Ford-Gilboe M, Lent B, Varcoe C, Campbell JC. Chronic pain in women survivors of intimate partner violence. J Pain. 2008;9:1049–57.

    PubMed  Article  Google Scholar 

  21. 21.

    Coker AL, Smith PH, Bethea L, King MR, McKeown RE. Physical health consequences of physical and psychological intimate partner violence. Arch Fam Med. 2000;9:451–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  22. 22.

    Snelgrove, S., & Liossi, C. (2013). Living with chronic low back pain: A metasynthesis of qualitative research. Chronic Illness, 9(4), 283–301.

    PubMed  Article  PubMed Central  Google Scholar 

  23. 23.

    Stanos, S., Brodsky, M., Argoff, C.,Clauw, D. J., Arcy, D., Donevan, S., Watt, S. (2016). Rethinking chronic pain in a primary care setting. Postgraduate Medicine, 128(5), 502–515. https://doi.org/10.1080/00325481.2016.1188319

    PubMed  Article  PubMed Central  Google Scholar 

  24. 24.

    Pasquale MK, Dufour R, Schaaf D, Reiners AT, Mardekian J, Joshi AV, et al. Pain conditions ranked by healthcare costs for members of a national health plan. Pain Pract. 2014;14:117–31.

    PubMed  Article  PubMed Central  Google Scholar 

  25. 25.

    Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007;133:581–624.

    PubMed  Article  PubMed Central  Google Scholar 

  26. 26.

    Gatchel RJ. Comorbidity of chronic pain and mental health disorders: the biopsychosocial perspective. Am Psychol. 2004;59:795–805.

    PubMed  Article  PubMed Central  Google Scholar 

  27. 27.

    McEwen BS. Allostasis and allostatic load: implications for neuropsychopharmacology. Neuropsychopharmacology. 2000;22:108–24.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  28. 28.

    Vachon-Presseau E, Roy M, Martel MO, Caron E, Marin MF, Chen J, et al. The stress model of chronic pain: evidence from basal cortisol and hippocampal structure and function in humans. Brain. 2013;136:815–27.

    PubMed  Article  PubMed Central  Google Scholar 

  29. 29.

    Hannibal KE, Bishop MD. Chronic stress, cortisol dysfunction, and pain: a psychoneuroendocrine rationale for stress management in pain rehabilitation. Phys Ther. 2014;94:1816–25.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Stephens MAC, Wand G. Stress and the HPA axis: role of glucocorticoids in alcohol dependence. Alcohol Res. 2012;34:468–83.

    PubMed  PubMed Central  Google Scholar 

  31. 31.

    Heim C, Ehlert U, Hellhammer DH. The potential role of hypocortisolism in the pathophysiology of stress-relatd boldily disorders. Psychoneuroendocrinology. 2000;25:1–35.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  32. 32.

    Woolf CJ, Mannion RJ. Neuropathic pain: aetiology, symptoms, mechanisms, and management. Lancet. 1999;353:1959–64.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  33. 33.

    Heim C, Ehlert U, Hanker JP, Hellhammer DH. Abuse-related posttraumatic stress disorder and alterations of the hypothalamic-pituitary-adrenal axis in women with chronic pelvic pain. Psychosom Med. 1998;60:309–18.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    NA N, Davis MC, Kruszewski D, Zautra AJ. Childhood maltreatment and diurnal cortisol patterns in women with chronic pain. Psychosom Med. 2010;72:471–80.

    Article  Google Scholar 

  35. 35.

    Woods AB, Page GG, O’Campo P, Pugh LC, Ford D, Campbell JC. The mediation effect of posttraumatic stress disorder symptoms on the relationship of intimate partner violence and IFN-γ levels. Am J Community Psychol. 2005;36:159–75.

    PubMed  Article  PubMed Central  Google Scholar 

  36. 36.

    Golding JM. Intimate partner violence as a risk factor for mental disorders: a meta-analysis. J Fam Violence. 1999;14:99–132.

    Article  Google Scholar 

  37. 37.

    Rivera-Vélez GM, González-Viruet M, Martínez-Taboas A, Pérez-Mojica D. Post-traumatic stress disorder, dissociation, and neuropsychological performance in Latina victims of childhood sexual abuse. J Child Sex Abus [Internet]. 2014;23:55–73. Available from: http://www.tandfonline.com/doi/abs/10.1080/10538712.2014.864746

    Article  Google Scholar 

  38. 38.

    Li M, Arcy CD, Meng X. Maltreatment in childhood substantially increases the risk of adult depression and anxiety in prospective cohort studies : systematic review , meta- analysis , and proportional attributable fractions. Psychol Med. 2016;46:717–30.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  39. 39.

    Scioli-Salter ER, Forman DE, Otis JD, Gregor K, Valovski I, Rasmusson AM. The shared neuroanatomy and neurobiology of comorbid chronic pain & PTSD: therapeutic implications. Clin J Pain. 2015;31:363–74.

    PubMed  Article  PubMed Central  Google Scholar 

  40. 40.

    Carroll LJ, Cassidy JD, Côté P. Depression as a risk factor for onset of an episode of troublesome neck and low back pain. Pain. 2004;107:134–9.

    PubMed  Article  Google Scholar 

  41. 41.

    Wilson JS, West JF, Messing JT, Brown S, Patchell B, Campbell JC. Factors related to posttraumatic stress symptoms in women experiencing police-involved intimate partner violence. ANS Adv Nurs Sci. 2011;34:E14–28.

    PubMed  Article  Google Scholar 

  42. 42.

    Cerulli C, Poleshuck E, Raimondi C, Veale S, Chin N. “What fresh hell is this?” victims of intimate partner violence describe their experiences of abuse, pain, and depression. J Fam Violence. 2012;27:773–81.

    PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Bair Robinson R, Katon W, Kroenke KM. Depression and pain comorbidity. Arch Inteern Med. 2003;163:2433–45.

    Article  Google Scholar 

  44. 44.

    Barrera M. Distinctions between social support concepts, measures, and models. Am J Community Psychol. 1986;14:413–45.

    Article  Google Scholar 

  45. 45.

    Woods SJ, Hall RJ, Campbell JC, Angott DM. Physical health and posttraumatic stress disorder symptoms in women experiencing intimate partner violence. J Midwifery Womens Health Elsevier Inc. 2008;53:538–46.

    Article  Google Scholar 

  46. 46.

    Powers A, Fani N, Pallos A, Stevens J, Ressler KJ, Bradley B. Childhood abuse and the experience of pain in adulthood: the mediating effects of PTSD and emotion dysregulation on pain levels and pain-related functional impairment. Psychosomatics. 2014;55:400–91.

    Article  Google Scholar 

  47. 47.

    Wuest J, Ford-Gilboe M, Merritt-Gray M, Varcoe C, Lent B, Wilk P, et al. Abuse-related injury and symptoms of posttraumatic stress disorder as mechanisms of chronic pain in survivors of intimate partner violence. Pain Med. 2009;10:739–47.

    PubMed  Article  PubMed Central  Google Scholar 

  48. 48.

    Wuest J, Ford-Gilboe M, Merritt-Gray M, Wilk P, Campbell JC, Lent B, et al. Pathways of chronic pain in survivors of intimate partner violence. J women’s Heal. 2010;19:1665–74.

    Article  Google Scholar 

  49. 49.

    Lagdon S, Armour C, Stringer M. Adult experience of mental health outcomes as a result of intimate partner violence victimisation: a systematic review. Eur J Psychotraumatol. 2014;5:1–12.

    Article  Google Scholar 

  50. 50.

    Chiu S, Niles JK, Webber MP, Zeig-Owens R, Gustave J, Lee R, et al. Evaluating risk factors and possible mediation effects in posttraumatic depression and posttraumatic stress disorder comorbidity. Public Health Rep. 2011;126:201–9.

    PubMed  PubMed Central  Article  Google Scholar 

  51. 51.

    Michael GM, Adnan Lufti S, Evmorfia K. Posttraumatic stress disorders comorbid with major depression in West Bank, Palestine: a general population cross sectional study. Eur J Psychiatry. 2011;25:19.

    Google Scholar 

  52. 52.

    Elhai JD, de Francisco Carvalho L, Miguel FK, Palmieri PA, Primi R, Christopher Frueh B. Testing whether posttraumatic stress disorder and major depressive disorder are similar or unique constructs. J Anxiety Disord Elsevier Ltd. 2011;25:404–10.

    Article  Google Scholar 

  53. 53.

    O’Donnell ML, Creamer M, Pattison P. Posttraumatic stress disorder and depression following trauma: understanding comorbidity. Am J Psychiatry. 2004;161:1390–6.

    PubMed  Article  Google Scholar 

  54. 54.

    Refaeli T, Levy D, Ben-Porat A, Dekel R, Itzhaky H. Personal and environmental predictors of depression among victims of intimate partner violence: comparison of immigrant and Israeli-born women. J Interpers Violence. 2016:1–25.

  55. 55.

    Constantino R, Bricker P. Social support, stress, and depression among battered women in the judicial setting. J Am Psychiatr Nurses Assoc. 1997;3:81–8.

    Google Scholar 

  56. 56.

    LaViolette AD, Barnett OW. It could happen to anyone: why battered women stay. Thousand Oaks: SAGE Publications; 2000.

  57. 57.

    Samuels-Dennis J, Bailey A, Killian K, Ray SL. The mediating effects of empowerment, interpersonal conflict, and social support on the violence–PTSD process among single mothers. Can J Community Ment Heal. 2013;32:109–24.

    Article  Google Scholar 

  58. 58.

    Ridings LE, Beasley LO, Bohora SB, Daer JL, Owora A, Silovsky J. Longitudinal investigation of depression, intimate partner violence, and supports among vulnerable families. J. Interpers. Violence. 2016. p. 1–23. https://doi.org/10.1177/0886260516639262.

  59. 59.

    Seeds PM, Harkness KL, Quilty LC. Parental maltreatment, bullying, and adolescent depression: evidence for the mediating role of perceived social support. J Clin Child Adolesc Psychol. 2010;39:681–92.

    PubMed  Article  Google Scholar 

  60. 60.

    Schumm JA, Briggs-Phillips M, Hobfoll SE. Cumulative interpersonal traumas and social support as risk and resiliency factors in predicting PTSD and depression among inner-city women. J Trauma Stress. 2006;19:825–36.

    PubMed  Article  Google Scholar 

  61. 61.

    Glass N, Perrin N, Campbell JC, Soeken K. The protective role of tangible support on posttraumatic stress disorder symptoms in urban women survivors of violence. Res Nurs Health. 2007;30:558–68.

    PubMed  Article  Google Scholar 

  62. 62.

    Beeble ML, Bybee D, Sullivan CM, Adams AE. Main, mediating, and moderating effects of social support on the well-being of survivors of intimate partner violence across 2 years. J Consult Clin Psychol American Psychological Association. 2009;77:718–29.

    Article  Google Scholar 

  63. 63.

    Sperry DM, Widom CS. Child abuse and neglect, social support, and psychopathology in adulthood: a prospective investigation. Child Abus Negl Elsevier Ltd. 2013;37:415–25.

    Article  Google Scholar 

  64. 64.

    Herrenkohl TI, Jung H, Klika JB, Mason WA, Brown EC, Leeb RT, et al. Mediating and moderating effects of social support in the study of child abuse and adult physical and mental health. Am J Orthop. 2016;86:573–83.

    Article  Google Scholar 

  65. 65.

    Ford-Gilboe M, Wuest J, Varcoe C, Davies L, Merritt-Gray M, Campbell J, et al. Modelling the effects of intimate partner violence and access to resources on women’s health in the early years after leaving an abusive partner. Soc Sci Med. 2009;68:1021–9.

    PubMed  Article  Google Scholar 

  66. 66.

    Lee J, Pomeroy EC, Bohman TM. Intimate partner violence and psychological health in a sample of Asian and Caucasian women: the roles of social support and coping. J Fam Violence. 2007;22:709–20.

    Article  Google Scholar 

  67. 67.

    Guruge S, Ford-Gilboe M, Varcoe S-C, Dennis J, Wilk P, Wuest J. Rethinking social support and conflict: lessons from a study of women who have separated from abusive partners. Nurs Res Pract. 2012;2012:738905.

    PubMed  PubMed Central  Google Scholar 

  68. 68.

    Procidano ME, Heller K. Measures of perceived social support from friends and from family: three validation studies. Am J Community Psychol. 1983;11:1–24.

    CAS  PubMed  Article  Google Scholar 

  69. 69.

    Harb C. The Arab region: cultures, values, and identities. In: Amer MM, Awad GH, editors. Handb. Arab Am. Psychol. New York: Routledge; 2015.

    Google Scholar 

  70. 70.

    Jewkes R. Violence against women III Intimate partner violence : causes and prevention. Lancet 2002;359:1423–1429.

  71. 71.

    AboulAzm S, Hashem WE, Elebiary HALY. Impact of domestic violence against Saudi Arabian married women on their reproductive health outcomes. Med J Cairo Univ. 2009;77:485–94.

    Google Scholar 

  72. 72.

    Eldoseri HM, Tufts KA, Zhang Q, Fish JN. Adverse health effects of spousal violence among women attending Saudi Arabian primary health-care clinics. East Mediterr Heal J. 2014;20:717–25.

    CAS  Article  Google Scholar 

  73. 73.

    Rachana C, Suraiya K, Hisham AS, Abdulaziz AM, Hai A. Prevalence and complications of physical violence during pregnancy. Eur J Obstet Gynecol Reprod Biol. 2002;103:26–9.

    PubMed  Article  Google Scholar 

  74. 74.

    Zuhur S. Middle East in focus Saudi Arabia. California: ABC-CLIO, LLC; 2011.

    Google Scholar 

  75. 75.

    Hegarty K, Bush R, Sheehan M. The composite abuse scale: further development and assessment of reliability and validity of a multidimensional partner abuse measure in clinical settings. Violence Vict. 2005;20:529–47.

    PubMed  Article  Google Scholar 

  76. 76.

    Post LM, Feeny NC, Zoellner LA, Connell AM. Post-traumatic stress disorder and depression co-occurrence: structural relations among disorder constructs and trait and symptom dimensions. Psychol Psychother Theory Res Pract. 2016:418–34.

    Article  Google Scholar 

  77. 77.

    Kline RB. Principles and practice of structural equation modeling. 3rd ed. New York: Guilford Press; 2011.

    Google Scholar 

  78. 78.

    Ullman JB. Structural equation modeling: reviewing the basics and moving forward. J Pers Assess. 2006;87:35–50.

    PubMed  Article  Google Scholar 

  79. 79.

    Parker B, McFarlane J. Nursing assessment of the battered pregnant woman. Am J Matern Child Nurs. 1991;16:161–4.

    CAS  Article  Google Scholar 

  80. 80.

    Beydoun HA, Beydoun MA, Kaufman JS, Lo B, Zonderman AB. Intimate partner violence against adult women and its association with major depressive disorder, depressive symptoms and postpartum depression: a systematic review and meta-analysis. Soc Sience Med. 2012;75:959–75.

    Article  Google Scholar 

  81. 81.

    Rabin RF, Jennings JM, Campbell JC, Bair-Merritt MH. Intimate partner violence screening tools. Am J Prev Med. 2009;36:439–45.

    PubMed  PubMed Central  Article  Google Scholar 

  82. 82.

    Reichenheim ME, Moraes CL. Comparison between the abuse assessment screen and the revised conflict tactics scales for measuring physical violence during pregnancy. J Epidemiol Community Heal. 2004;58:523–7.

    CAS  Article  Google Scholar 

  83. 83.

    Tiwari A, Fong DYT, Chan KL, Leung WC, Parker B, Ho PC. Identifying intimate partner violence: comparing the Chinese abuse assessment screen with the Chinese revised conflict tactics scales. BJOG An Int J Obstet Gynaecol. 2007;114:1065–71.

    CAS  Article  Google Scholar 

  84. 84.

    Antoniou E, Ioannidi-Kapolou E, Daglas M, Vivilaki V, Karamitros D, Dafermos G, et al. Abuse assessment screen (AAS) questionnaire: the Greek validation. Clin Exp Obstet Gynecol. 2010;37:313.

    CAS  PubMed  Google Scholar 

  85. 85.

    Hammoury N, Khawaja M. Screening for domestic violence during pregnancy in an antenatal clinic in Lebanon. Eur J Public Heal. 2007;17:605–6.

    Article  Google Scholar 

  86. 86.

    Hammoury N, Khawaja M, Mahfoud Z, Afifi R a, Madi H. Domestic violence against women during pregnancy: the case of Palestinian refugees attending an antenatal clinic in Lebanon. J Women's Health (Larchmt). 2009;18:337–45.

    CAS  Article  Google Scholar 

  87. 87.

    Khawaja M, Hammoury N. Coerced sexual intercourse within marriage: a clinic-based study of pregnant Palestinian refugees in Lebanon. J Midwifery Women’s Heal. 2008;53:150–4.

    Article  Google Scholar 

  88. 88.

    Alhalal E, Ford-gilboe M, Wong C, AlBuhairan FS. The reliability and validity of the Arabic version of composite abuse scale. Violence Vict.

  89. 89.

    Hegarty K, Sheehan M, Schonfeld C. A multidimensional definition of partner abuse: development and preliminary validation of the composite abuse scale. J Fam Violence. 1999;14:399–415.

    Article  Google Scholar 

  90. 90.

    Gartland D, Hemphill SA, Hegarty K, Brown SJ. Intimate partner violence during pregnancy and the first year postpartum in an Australian pregnancy cohort study. Matern Child Heal J. 2011;15:570–8.

    CAS  Article  Google Scholar 

  91. 91.

    Prosman GJ, Jansen SJ, Lo Fo Wong SH, Lagro-Janssen AL. Prevalence of intimate partner violence among migrant and native women attending general practice and the association between intimate partner violence and depression. Fam Pract. 2011;28:267–71.

    PubMed  Article  PubMed Central  Google Scholar 

  92. 92.

    Alhabib S, Feder G, Horwood J. English to Arabic translation of the composite abuse scale (CAS): a multi-method approach. PLoS One. 2013;8:1–6.

    Article  CAS  Google Scholar 

  93. 93.

    Loxton D, Powers J, Fitzgerald D, Forder P, Anderson A, Taft A, et al. The community composite abuse scale: reliability and validity of a measure of intimate partner violence in a community survey from the ALSWH. Women’s Heal Issues Care. 2013;2:1–7.

    Google Scholar 

  94. 94.

    Ford-Gilboe M, Wathen N, Varcoe C, MacMillan HL, Scott-Storey K, Mantler T, et al. Development of a brief measure of intimate partner violence experiences: the composite abuse scale (revised)-short form (CASR-SF). BMJ Open British Medical Journal Publishing Group. 2016;6:e012824.

    PubMed  PubMed Central  Article  Google Scholar 

  95. 95.

    Al-Zahrani A. Child abuse & neglect its forms, causes and consequences in the Kingdom of Saudi Arabia. 2003.

    Google Scholar 

  96. 96.

    Bernstein DP, Fink L. Childhood trauma questionnaire: a retrospective self-report. New York: The Psychological Corporation; 1998.

    Google Scholar 

  97. 97.

    Heim C, Bradley E, Mletzko TC, Deveau TC, Musselman DL, Nemeroff CB, et al. Effect of childhood trauma on adult depression and neuroendocrine function: sex-specific moderation by CRH receptor 1 gene. Front Behav Neurosci. 2009;3:41.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  98. 98.

    Forde DR, Baron SW, Scher CD, Stein MB. Factor structure and reliability of the childhood trauma questionnaire and prevalence estimates of trauma for male and female street youth. J. Interpers. Violence. 2012;27:364–79.

    PubMed  Article  Google Scholar 

  99. 99.

    Lang AJ, Stein MB, Kennedy CM, Foy DW. Adult psychopathology and intimate partner violence among survivors of childhood maltreatment. J Interpers Violence. 2004;19:1102–18.

    PubMed  Article  Google Scholar 

  100. 100.

    Bernstein DP, Stein JA, Newcomb MD, Walker E, Pogge D, Ahluvalia T, et al. Development and validation of a brief screening version of the childhood trauma questionnaire. Child Abus. Negl. 2003;27:169–90.

    Article  Google Scholar 

  101. 101.

    Alhalal E, Ford‐Gilboe M, Wong C, AlBuhairan F. Reliability and validity of the Arabic PTSD checklist civilian version (PCL‐C) in women survivors of intimate partner violence. Res Nurs Health. 2017;40(6):575–85.

    Article  Google Scholar 

  102. 102.

    Weathers FW, Litz BT, Huska JA, Keane TM. PTSD checklist—civilian version. Boston: National Center for PTSD, Behavioral Science Division; 1994.

    Google Scholar 

  103. 103.

    Harrington T, Newman E. The psychometric utility of two self-report measures of PTSD among women substance users. Addict Behav. 2007;32:2788–98.

    PubMed  Article  Google Scholar 

  104. 104.

    Balsam KF, Levahot K, Beadnell B, Circo E. Childhood abuse and mental health indicators among ethnically diverse lesbian, gay, and bisexual adults. J Consult Clin Psychol. 2010;78:459–68.

    PubMed  PubMed Central  Article  Google Scholar 

  105. 105.

    Kelly U. Symptoms of PTSD and major depression in Latinas who have experienced intimate partner violence. Issues Ment. Health Nurs. 2010;31:119–27.

    PubMed  Article  PubMed Central  Google Scholar 

  106. 106.

    Ghubash R, Daradkeh TK, Al Naseri KS, Al Bloushi NBA, Al Daheri AM. The performance of the Center for Epidemiologic Study Depression Scale (CES-D) in an Arab female community. Int J Soc Psychiatry. 2000;46:241–9.

    CAS  PubMed  Article  Google Scholar 

  107. 107.

    Comstock GW, Helsing KJ. Symptoms of depression in two communities. Psychol Med. 1977;6:551–63.

    Article  Google Scholar 

  108. 108.

    Radloff LS. The CES-D scale a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.

    Article  Google Scholar 

  109. 109.

    Jarvis KL, Gordon EE, Novaco RW. Psychological distress of children and mothers in domestic violence emergency shelters. J Fam Violence. 2005;20:309–402.

    Article  Google Scholar 

  110. 110.

    Kazarian SS, Taher D. Validation of the Arabic center for epidemiological studies depression (CES-D) scale in a Lebanese community sample. Eur Hournal Psychol Assess. 2010;26:68–73.

    Article  Google Scholar 

  111. 111.

    Alhalal E, Aboshaiqah A, Jackson KT. Psychometric properties of the Arabic chronic pain grade (CPG) scale version among women in primary health care centers. Under Rev.

  112. 112.

    von Korff M, Ormel J, Keefe FJ, Dworkin SF. Grading the severity of chronic pain. Pain. 1992;50:133–49.

    CAS  PubMed  Article  Google Scholar 

  113. 113.

    Mallen C, Peat G, Thomas E, Croft P. Severe disabling chronic pain in young adults: prevalence from a population based postal survey in north Staffordshire. BMC Musculoskelet Disord. 2005;6:1.

    Article  Google Scholar 

  114. 114.

    Ramaswamy V, Aroian KJ, Templin T. Adaptation and psychometric evaluation of the multidimensional scale of perceived social support for Arab American adolescents. Am J Community Psychol. 2009;43:49–56.

    PubMed  Article  Google Scholar 

  115. 115.

    Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52:30–41.

    Article  Google Scholar 

  116. 116.

    Bradley R, Schwartz AC, Kaslow NJ. Posttraumatic stress disorder symptoms among low-income, African American women with a history of intimate partner violence and suicidal behaviors: self-esteem, social support, and religious coping. J Trauma Stress. 2005;18:685–96.

    PubMed  Article  Google Scholar 

  117. 117.

    Ponizovsky AM, Ritsner MS. Patterns of loneliness in an immigrant population. Compr Psychiatry. 2004;45:408–14.

    PubMed  Article  Google Scholar 

  118. 118.

    Little RJ. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83:1198–202.

    Article  Google Scholar 

  119. 119.

    Polit DF. Statistics and data analysis for nursing research. New Jersey: Pearson Education Inc; 2010.

    Google Scholar 

  120. 120.

    Muthén LK, Muthén BO. Mplus user’s guide. Los Angeles: Muthén & Muthén; 2012.

    Google Scholar 

  121. 121.

    Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model A Multidiscip J. 1999;6:1–55.

    Article  Google Scholar 

  122. 122.

    Sachs-Ericsson N, Kendall-Tackett K, Hernandez A. Childhood abuse, chronic pain, and depression in the National Comorbidity Survey. Child Abus Negl. 2007;31:531–47.

    Article  Google Scholar 

  123. 123.

    Campbell R, Greeson MR, Bybee D, Raja S. The co-occurrence of childhood sexual abuse, adult sexual assault, intimate partner violence, and sexual harassment: a mediational model of posttraumatic stress disorder and physical health outcomes. J Consult Clin Psychol. 2008;76:194–207.

    PubMed  Article  Google Scholar 

  124. 124.

    Gouin JP, Glaser R, Malarkey WB, Beversdorf D, Kiecolt-Glaser JK. Childhood abuse and inflammatory responses to daily stressors. Ann Behav Med. 2012;44:287–92.

    PubMed  PubMed Central  Article  Google Scholar 

  125. 125.

    Heim C, Newport DJ, Heit S, Graham YP, Wilcox M, Bonsall R, et al. Pituitary-adrenal and autonomic responses to stress in women after sexual and physical abuse in childhood. J Am Med Assoc. 2000;284:592–7.

    CAS  Article  Google Scholar 

  126. 126.

    Koenig HG, Al ZF, Sehlo MG, Khalifa DA, Al AMS, Qureshi NA, et al. Mental health care in Saudi Arabia: past, present and future. Open J Psychiatry. 2014;4:113–30.

    Article  Google Scholar 

  127. 127.

    Burns EE, Jackson JL, Harding HG. Child maltreatment, emotion regulation, and posttraumatic stress: the impact of emotional abuse. J Aggress Maltreat Trauma. 2010;19:801–19.

    Article  Google Scholar 

  128. 128.

    Feder A, Ahmad S, Lee EJ, Morgan JE, Singh R, Smith BW, et al. Coping and PTSD symptoms in Pakistani earthquake survivors: purpose in life, religious coping and social support. J Affect Disord Elsevier. 2013;147:156–63.

    Article  Google Scholar 

  129. 129.

    Gold PB, Engdahl BE, Eberly RE, Blake RJ, Page WF, Frueh BC. Trauma exposure, resilience, social support, and PTSD construct validity among former prisoners of war. Soc Psychiatry Psychiatr Epidemiol. 2000;35:36–42.

    CAS  PubMed  Article  Google Scholar 

  130. 130.

    Lakey B, Orehek E. Relational regulation theory: a new approach to explain the link between perceived social support and mental health. Am Psychol Assoc. 2011;118:482.

    Google Scholar 

  131. 131.

    Bonugli R, Brackley MH, Williams GB, Lesser J. Sexual abuse and posttraumatic stress disorder in adult women with severe mental illness: a pilot study. Issues Ment Health Nurs. 2010;31:456–60.

    PubMed  Article  Google Scholar 

  132. 132.

    World Health Organization. Responding to intimate partner violence and sexual violence against women. 2013.

    Google Scholar 

  133. 133.

    Ford-Gilboe M, Varcoe C, Wuest J, Merritt-Gray M. Family violence and nursing practice. In: Humphreys J, Campbell JC, editors. Fam. Violence Nurs. Pract; 2010.

    Google Scholar 

  134. 134.

    Hegarty K, O’Doherty L, Taft A, Chondros P, Brown S, Valpied J, et al. Screening and counselling in the primary care setting for women who have experienced intimate partner violence (WEAVE): A cluster randomised controlled trial. Lancet. Elsevier Ltd; 2013;382:249–58. Available from: https://doi.org/10.1016/S0140-6736(13)60052-5.

    Article  Google Scholar 

  135. 135.

    Hansen NB, Eriksen SB, Elklit A. Effects of an intervention program for female victims of intimate partner violence on psychological symptoms and perceived social support. Eur J Psychotraumatol. 2014;5:24797–10.

    Article  Google Scholar 

  136. 136.

    Santos A, Matos M, Machado A. Effectiveness of a Group Intervention Program for Female Victims of Intimate Partner Violence. Small Gr. Res. [Internet]. 2014;48:34–61. Available from: doi:https://doi.org/10.1177/1046496416675226

    Article  Google Scholar 

  137. 137.

    Brewin CR, Andrews B, Gotlib IH. Psychopathology and early experience: a reappraisal of retrospective reports. Psychol Bull. 1993;113:82–98.

    CAS  PubMed  Article  Google Scholar 

  138. 138.

    Heim C, Newport DJ, Mletzko T, Miller AH, Nemeroff CB. The link between childhood trauma and depression: Insights from HPA axis studies in humans. Psychoneuroendocrinology. 2008;33:693–710.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  139. 139.

    Yehuda R, Bierer LM, Sarapas C, Makotkine I, Andrew R, Seckl JR. Cortisol metabolic predictors of response to psychotherapy for symptoms of PTSD in survivors of the world trade center attacks on September 11, 2001. Psychoneuroendocrinology. 2009;34:1304–13.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  140. 140.

    Plenis A, Konieczna L, Oledzka I, Kowalski P, Baczek T. Simultaneous determination of urinary cortisol, cortisone and corticosterone in parachutists, depressed patients and healthy controls in view of biomedical and pharmacokinetic studies. Mol BioSyst. 2011;7:1487–500.

    CAS  PubMed  Article  Google Scholar 

  141. 141.

    Ricciotti E, FitzGerald GA. Prostaglandins and inflammation. Arterioscler Thromb Vasc Biol. 2011;31:986–1000.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  142. 142.

    Kirkby Shaw K, Rausch-Derra LC, Rhodes L. Grapiprant: an EP4 prostaglandin receptor antagonist and novel therapy for pain and inflammation. Vet Med Sci. 2016;2:3–9.

    CAS  PubMed  Article  Google Scholar 

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Acknowledgments

The authors would like to thank the women who participated in the study.

Funding

Dr. E. Alhalal was funded by the Research Center of the Female Scientific and Medical Colleges, Deanship of Scientific Research, King Saud University.

Availability of data and materials

Data and materials supporting our findings in the manuscript will not be shared as additional analyses are in process. Data are only available from the corresponding author on reasonable request.

Author information

Affiliations

  1. Nursing College, King Saud University, Riyadh, Saudi Arabia

    Eman Alhalal

  2. Arthur Labatt Family School of Nursing, Western University, London, ON, Canada

    Marilyn Ford-Gilboe & Carol Wong

  3. Department of Pediatrics and Adolescent Medicine, AlDara Hospital and Medical Center, Riyadh, Saudi Arabia

    Fadia AlBuhairan

  4. Department of Population, Family, and Reproductive Health Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA

    Fadia AlBuhairan

Authors
  1. Eman Alhalal
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  2. Marilyn Ford-Gilboe
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  3. Carol Wong
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  4. Fadia AlBuhairan
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Contributions

EA, MFG, CW, and FA designed the study. EA and MFG chose the study measures and drafted the manuscript. EA recruited and interviewed the participants as well as analyzed the data. MFG and CW provided extensive guidance in the analysis and interpretation of results. FA provided advice and feedback on the conduct of the study in the Saudi context. All authors critically reviewed the manuscript and provided substantive feedback to finalize it prior to submission. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Eman Alhalal.

Ethics declarations

Ethics approval and consent to participate

Approval to conduct the study was obtained from the Research Ethics Board at Western University and Institutional Review Boards (IRB) for both Ministry of Health and King Abdullah International Medical Research Center (KAIMRC)/MNGHA in Saudi Arabia. All participants gave their written informed consent, then they took part in the study right away. Women who could not read or write, the letter of information was read to them and then they were asked to provide a thumb print to indicate consent in lieu of a signature. All data records were de-identified and women were assigned a unique ID number to ensure that data are anonymous and confidential.

Consent for publication

Not applicable, as no personal data have been included in this manuscript.

Competing interests

The authors declare that they have no competing interests.

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Alhalal, E., Ford-Gilboe, M., Wong, C. et al. Factors mediating the impacts of child abuse and intimate partner violence on chronic pain: a cross-sectional study. BMC Women's Health 18, 160 (2018). https://doi.org/10.1186/s12905-018-0642-9

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Keywords

  • Intimate partner violence
  • Child abuse
  • Depressive symptoms
  • Post-traumatic stress disorder symptoms
  • Chronic pain
  • And social support

BMC Women's Health

ISSN: 1472-6874

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