Non-offending caregivers (NOCs) of children who have endured one or more potentially traumatic events (PTEs) must process their children’s disclosures and cope with the physical, emotional, and behavioral changes that often follow. In doing so, NOCs may develop secondary traumatic stress symptomatology (STS; Arzi et al., 2000; Banyard et al., 2001; Eriksson et al., 2001; Goff & Smith, 2005; Landolt et al., 2003; Lind, 2000; Lugris, 2000). This research defines STS as a set of psychological symptoms that mimic posttraumatic stress disorder (PTSD) that are present in NOCs following children’s disclosures of PTEs (Baird & Kracen, 2006; Bramsen et al., 2002; Coughlan & Parkin, 1987; Lind, 2000; Lugris, 2000; Nelson & Wright, 1996; Pearlman & MacIan, 1995).

Clinical evidence indicates that traumatic stress symptomatology can negatively impact NOCs’ functioning, ability to parent effectively, and ability to be sensitive to their children’s needs (Barker-Collo & Read, 2003; Breslau, 2009; Elliott & Carnes, 2001; Kouyoumdjian et al., 2005; Lovett, 2004; Plummer, 2006; Saywitz et al., 2000; Vogt et al., 2007). Because a lack of caregiver support, nurturing, and affection are associated with increased traumatic stress symptomatology in children (Lipton, 1997), it is imperative that NOCs who are exhibiting STS receive their own trauma-informed, evidence-based services.

Previous research on STS in NOCs of children with trauma histories focuses nearly entirely on NOC demographics as moderators of STS. These demographics include age (Adams et al., 2001; Resick, 2000), gender (Corcoran, 2004), education and socio-economic status (Resick, 2000), style of coping (Shalev & Ursano, 2003), and previous psychological well-being (Brewin et al., 2000; Resick, 2000). The purpose of this research was to expand upon previous research and examine additional factors that may influence levels of STS in NOCs of children with trauma histories. These factors included the nature of the abuse, NOCs’ relationships with the initiators of the abuse, children’s ages and genders, NOCs’ trauma histories, and the elapsed time between children’s disclosures of abuse and their trauma assessments. As a secondary objective, this research examined the interactions between children’s self-reports of their own posttraumatic stress disorder (PTSD) symptomatology, NOCs’ estimates of their children’s PTSD symptomatology, and NOCs’ self-reports of their own STS symptomatology.

Factors Influencing Levels of Secondary Traumatic Stress in Non-Offending Caregivers

Type of Abuse

Considerable evidence demonstrates that non-offending caregivers (NOCs) of sexually abused children experience significant distress following their children’s disclosures of sexual abuse (Knott & Fabre, 2014; Myrick & Green, 2013; Runyon et al., 2014; Trickett et al., 2011; van Toledo & Seymour, 2013). Multiple empirical studies (Jobe-Shields et al., 2016) have documented clinically significant trauma symptomatology in NOCs following children’s disclosures of sexual abuse. However, there are no known studies that exclusively examine NOCs’ adjustment following children’s disclosures of physical abuse. The present study examined whether trauma symptomatology was significantly higher in NOCs of children who experienced sexual abuse as opposed to physical abuse.

Non-Offending Caregivers’ Relationships with the Initiators of Abuse

Non-offending mothers have been found to be less supportive of their children when the initiators of abuse were current romantic partners (Everson et al., 1989; Faller, 1988; Pintello & Zuravin, 2001). The more the allegations of abuse affect non-offending mothers’ lifestyles and overall senses of self, the less likely mothers are to believe their children (Elliot & Briere, 1994; Gomes-Schwartz et al., 1990; Lawson & Chaffin, 1992; Sirles & Franke, 1989). Non-offending mothers also have more difficulty believing allegations against current partners when they have new, intense feelings for their partners or rely on their partners financially (Elliot & Briere, 1994; Everson et al., 1989; Faller, 1984; Gomes-Schwartz et al., 1990; Leifer et al., 2001; Sirles & Franke, 1989). Regarding symptoms of secondary traumatic stress (STS), non-offending mothers experience high Intrusion and Avoidance symptomatology following their children’s disclosures of abuse when the initiators of the abuse are outside of their immediate families (Manion et al., 1996). The present study examined whether trauma symptomatology was significantly higher between NOCs who were in romantic relationships with the initiators of their children's abuse as opposed to NOCs who were not in romantic relationships with the initiators of their children's abuse.

Non-Offending Caregivers’ Personal Trauma Histories

A multitude of researchers have reported that maternal responses to disclosures of sexual abuse are not associated with their own childhood trauma histories (Deblinger et al., 1994; Heriot, 1996; Hubbard, 1989; Leifer et al., 2001; Salt et al., 1990). Other research has demonstrated that individuals’ trauma histories often affect their current levels of distress beyond what is accounted for by the current stressors (Ensel & Lin, 1998). Some individuals have been found to have more severe anxiety symptoms than those without adverse childhood experiences after experiencing potentially traumatic events in adulthood (Brewin et al., 2000; Pierce, 2000; Resick, 2000). Trauma histories are also indicators of traumatic stress symptomatology even when individuals only experience a traumatic event vicariously (Marmar et al., 1996; Resick, 2000; Van der Kolk et al., 1996). The present study examined whether levels of STS in NOCs significantly differed among NOCs with trauma histories congruent with their children’s trauma histories (e.g., NOCs and their children each experienced childhood sexual abuse), NOCs with trauma histories incongruent with their children’s trauma histories (i.e., NOCs who experienced domestic violence as adults), and NOCs without trauma histories. It was predicted that NOCs who experienced domestic violence as adults would experience significantly higher STS symptomatology compared to NOCs in the other two groups.

Children’s Ages and Genders

Previous research demonstrates that non-offending mothers of toddlers readily believed their children’s disclosures of abuse, whereas non-offending mothers of adolescents demonstrated more hesitancy (Lyon & Kouloumpos-Lenares, 1987; Sirles & Franke, 1989). Other studies have found that younger children were more likely to be believed (Pintello & Zuravin, 2001) and supported (Lipton, 1997) by their NOCs than older children (Salt et al., 1990). These studies also found that NOCs were more likely to believe (Pintello & Zuravin, 2001), protect (Salt et al., 1990), and help (Lyon & Kouloumpos-Lenares, 1987) male children over female children. The present study examined whether levels of STS were significantly higher in NOCs of children in preschool or elementary school (ages 3 to 10) as opposed to children in middle school or high school (ages 11 to 18). The present study also examined if levels of STS were significantly higher among NOCs of male children as opposed to female children.

Relationships between Estimated and Self-Reported Traumatic Stress Symptomatology

Some studies have documented concordant traumatic stress symptomatology in children and NOCs that were exposed to the same traumatic event (Barakat et al., 1997; Daviss et al., 2000; De Vries et al., 1999; Kassam-Adams et al., 2006). Other reviews of studies have found no correlations between children and NOCs’ self-reported traumatic stress symptomatology (Landolt et al., 2003). In a study of incestuous abuse initiated by biological fathers, non-offending mothers’ self-reported levels of distress were significantly related to children’s self-reported fear and anxiety (Hanson et al., 1992). Conversely, one study wherein NOCs estimated their children’s PTSD symptomatology found that NOCs’ estimates of their children’s PTSD symptomatology were poorly correlated with their children’s self-reported PTSD symptomatology. Instead NOCs’ estimates were driven by their own traumatic reactions and symptoms (Valentino et al., 2010). It is important to note, however, that this study did not utilize parallel instruments to measure NOCs’ and children’s reports of their own traumatic stress symptomatology. The present study specifically examined relationships between NOCs’ and children’s reports of traumatic stress symptomatology using parallel instruments.

Elapsed Time Between Children’s Disclosures of Abuse and Trauma Assessments

There is a paucity of research examining levels of STS in NOCs while considering the elapsed time between children’s disclosures of abuse and trauma assessments. Further, studies examining NOCs’ levels of belief and support following disclosures of abuse are often fraught with methodological difficulties because belief and support are not static constructs (Elliott & Carnes, 2001). Evidence also suggests that NOCs’ initial reactions are not always accurate predictors of their ability to believe and support their children at different points in the future (Salt et al., 1990). Given this evidence, it is possible that NOCs’ levels of STS may vary based on the elapsed time between children’s disclosures of abuse and trauma assessments. Therefore, this research included elapsed time between children’s disclosures of abuse and trauma assessments as a covariate in all relevant analyses.

Method

Participants and Procedure

Data for this research was gathered at a children’s guidance clinic in the Midwestern United States during children’s brief trauma assessments. Permission to use the data was obtained from the center’s executive director, and study protocols were approved by an institutional review board. At the time of analysis, the center had collected data from 150 sets of children and their non-offending caregivers (NOCs). The final sample (N = 300, children = 150, NOCs = 150) varied in its composition— children’s genders (F = 74%, M = 26%), NOCs’ genders (F = 80%, M = 20%), children’s ages (M = 9.89, SD = 4.08), NOCs’ ages (M = 37.87, SD = 9.23), children’s ethnicities (Caucasian = 74%, Black or African American = 4%, Hispanic or Latinx = 10.7%, American Indian or Alaskan Native = 6.7%, and Biracial = 4.7%), and abuse type (sexual abuse = 88%, physical abuse = 12%).

Materials

Structured Intake Interviews

Children and their non-offending caregivers (NOCs) were interviewed about their personal trauma histories during structured intake interviews. Due to the limited sample size, children who experienced poly-victimization (i.e., both sexual and physical abuse) were not included in this study.

The Posttraumatic Stress Disorder Checklist for the DSM-5 (PCL-5)

The PCL-5 (Blevins et al., 2015) is a self-report instrument that assesses the 20 symptoms of posttraumatic stress disorder (PTSD) listed in the Diagnostic and Statistical Manual of Mental Disorders—Fifth Edition (DSM-5). NOCs endorsed items on the PCL-5 based on their experiences one month prior to completing the PCL-5. The present study utilized the PCL-5 to measure NOCs’ secondary traumatic stress (STS) symptomatology regarding their children’s disclosures of sexual or physical abuse.

PCL-5 Global scores range from 0 to 80. Intrusion, Avoidance, Negative Alterations in Cognitions and Mood, and Alterations in Arousal and Reactivity Subscale scores range from 0 to 20, 0 to 8, 0 to 28, and 0 to 24, respectively. A cutoff score of 33 can be used to identify clinically significant STS in NOCs (Blevins et al., 2015). The psychometric properties of the PCL-5 were assessed by the developers of the PCL-5 (Blevins et al., 2015). PCL-5 scores exhibit strong internal consistency (α = 0.94), test–retest reliability (r = 0.82), convergent validity (rs = 0.74 to 0.85), and discriminant validity (rs = 0.31 to 0.60).

The Child Posttraumatic Stress Disorder Symptom Scale (CPSS)

The CPSS (Foa et al., 2001) measures the severity of PTSD symptoms and functional impairment in children between the ages of 7 and 18 as reported by children and their NOCs, respectively. All children and NOCs completed the CPSS about the children’s disclosures of sexual or physical abuse.

CPSS Global scores range from 0 to 80. Intrusion, Avoidance, Negative Alterations in Cognitions and Mood, and Alterations in Arousal and Reactivity Subscale scores range from 0 to 20, 0 to 8, 0 to 28, and 0 to 24, respectively. A cutoff score of 31 can be used to identify probable PTSD diagnoses in children (Foa et al., 2018). CPSS Global scores have demonstrated high internal consistency, with alpha coefficients of 0.93 and 0.91, respectively (Stewart et al., 2017).

The present study examined whether children’s self-reported PTSD symptomatology on the CPSS correlated with NOCs’ estimates of their children’s PTSD symptomatology on the CPSS. The present study then determined whether children and NOCs’ CPSS scores accounted for any distinct variance in NOCs’ self-reported STS symptomatology on the PCL-5 (which directly parallels each item on the CPSS). Finally, the present study examined whether children’s ages and genders influenced discrepancies between children’s self-reported PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS.

Aims and Analytic Strategy

The present study calculated point-biserial correlation coefficients to determine the strength of the interactions between NOCs’ self-reports of STS on the PCL-5 and children’s disclosures of sexual abuse and physical abuse, NOCs’ relationships with the initiators of the abuse, children’s ages and genders, and CPSS Global and Subscale scores (Children’s reports and NOCs’ estimates). Next, Analyses of Covariance (ANCOVAs) were calculated to determine if NOCs’ relationships with the initiators of abuse, and congruent and incongruent child and NOC trauma histories predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. Additionally, independent linear regression analyses assessed the extent to which the nature of the abuse, NOCs’ relationships with the initiators of the abuse, children’s ages and genders, and NOCs’ CPSS Global and Subscale scores predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. As a secondary objective, this research calculated point-biserial correlation coefficients to determine interaction strengths between discrepancy scores (i.e., the difference between children’s self-reports of their own PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS) and the nature of the abuse, NOCs’ relationships with the initiators of the abuse, and children’s ages and genders. Finally, ANCOVAs were calculated to determine if children’s ages and genders predicted discrepancy scores between children’s self-reported PTSD symptomatology and NOCs’ estimates of their children’s PTSD symptomatology. Variance accounted for by the elapsed time between children’s disclosures of abuse and their trauma assessments was controlled for in all relevant statistical analyses.

Results

Descriptive Statistics

Tables 1 and 2 provide descriptive statistics for Secondary Traumatic Stress (STS) predictor variables and symptomatology reported on the PCL-5, CPSS-Child Report, and CPSS-Non-Offending Caregiver (NOC) Report. Of note, all NOCs who indicated personal trauma histories that were incongruent with their children’s trauma histories (23.3%) reported experiencing domestic violence prior to their children’s disclosures of abuse. CPSS sample sizes (N = 111) and the total sample size (N = 150) differed in this research due to age constraints placed on the CPSS-Child Report by test developers (i.e. children had to be at least 7 years old to provide self-reports of their own PTSD symptomatology; Foa et al., 2001). Exactly 24% of NOCs were identified as having STS based on the clinical cutoff score of 33 recommended by PCL-5 test developers (Blevins et al., 2015). Per their own self-reports, approximately 44% of children were identified as having a probable PTSD diagnosis based on the clinical cutoff score of 31 identified by CPSS test developers (Foa et al., 2001). Per NOCs’ estimates, 18% of children were identified as having a probable PTSD diagnosis based on the clinical cutoff score of 31 identified by CPSS test developers (Foa et al., 2001).

Table 1 Descriptive Statistics for Predictors of Secondary Traumatic Stress Symptomatology
Table 2 Descriptive Statistics for the Criterion Measures of STS Symptomatology Severity

Table 3 demonstrates the nature of the interactions between NOCs’ self-reports of their own STS symptomatology (PCL-5) and predictors of STS, children’s self-reports of their own PTSD symptomatology (CPSS-Child Report), and NOCs’ estimates of their children’s PTSD symptomatology (CPSS-NOC Report). Significant point-biserial correlation coefficients were found in 17.1% of comparisons between the PCL-5 and predictors of STS. NOCs’ relationships with the initiators of abuse were significantly correlated (p < 0.05) with PCL-5 Global scores and all PCL-5 Subscale scores aside from Intrusion. These significant correlations indicated a need for additional analyses that examined the relationships between PCL-5 Global and Subscale scores and NOCs’ relationships with the initiators of abuse. No significant correlation coefficients were found between the CPSS-Child Report and PCL-5. Significant correlation coefficients were found in all but two comparisons between the CPSS-NOC Report and PCL-5— there were no significant correlation coefficients found between CPSS-NOC Report Avoidance Subscale scores and PCL-5 Negative Alterations in Cognitions and Mood Subscale scores and Alterations in Arousal and Reactivity Subscale scores. Additional bivariate correlation coefficients were calculated to determine whether the elapsed time between children’s disclosures of abuse and their trauma assessments was associated with NOCs’ estimates of their children’s PTSD symptomatology, children’s self-reported symptomatology, and NOCs’ self-reported STS symptomatology. Elapsed time between children’s disclosures of abuse was significantly (p < 0.05) correlated with NOCs’ estimated and children’s self-reported Negative Alterations in Cognitions and Mood symptomatology as well as NOCs’ Negative Alterations in Cognitions and Mood STS symptomatology. These symptoms appeared to peak immediately and subside over time.

Table 3 Point-Biserial Correlation Matrix of the PCL-5, Predictors of Secondary Traumatic Stress, and CPSS— Child and NOC Reports

Table 4 depicts a series of ANCOVAs used to test the predictive value of NOCs’ relationships with the initiators of abuse on NOCs’ self-reports of their own STS symptomatology on the PCL-5. Variance accounted for by the elapsed time between children’s disclosures of abuse and trauma assessments was controlled for in all analyses. PCL-5 Global scores and all PCL-5 Subscale scores, aside from Intrusion Subscale scores, differed significantly (p < 0.05) between NOCs who were in romantic relationships with the initiators of the abuse and NOCs who were not in romantic relationships with the initiators of the abuse. Additional ANCOVAs were conducted to test the predictive value of the nature of the abuse, and children’s ages and genders on NOCs’ self-reports of their own STS symptomatology on the PCL-5. Aside from PCL-5 Avoidance scores being significantly elevated (p < 0.05) in NOCs of female children, no significant results were found.

Table 4 NOC Relationship with Initiator of Abuse Analyses of Covariance on Secondary Traumatic Stress Symptomatology

Table 5 depicts a series of ANCOVAs used to test the predictive value of NOCs having trauma histories congruent with their children’s trauma histories, trauma histories incongruent with their children’s trauma histories, and no trauma histories on NOCs’ self-reports of their own STS symptomatology on the PCL-5. Variance accounted for by the elapsed time between the children’s disclosures of abuse and trauma assessments was controlled for in all analyses. NOCs’ trauma histories congruent with their children’s trauma histories were not associated with significant (p < 0.05) elevations in PCL-5 scores. PCL-5 Global scores and PCL-5 Negative Alterations in Cognitions and Mood Subscale scores differed significantly (p < 0.05) between NOCs without trauma histories and trauma histories incongruent with their children’s trauma histories.

Table 5 NOC Trauma History Classification Analyses of Covariance on Secondary Traumatic Stress Symptomatology

Table 6 depicts independent linear regression analyses that assessed the extent to which the nature of the abuse, NOCs’ relationships with the initiators of the abuse, and children’s ages and genders predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. The predictive model for PCL-5 Global scores was significant (F = 2.424, p < 0.05, Adjusted R2 = 0.038, SE = 15.694). The predictive model for PCL-5 Avoidance Subscale scores was significant (F = 3.157, p < 0.05, Adjusted R2 = 0.057, SE = 2.605). The predictive model for PCL-5 Negative Alterations in Cognitions and Mood Subscale scores was significant (F = 2.564, p < 0.05, Adjusted R2 = 0.042, SE = 5.844). NOCs’ relationships with the initiators of the abuse accounted for unshared variance in PCL-5 Global scores (β = -0.194, SE = 2.896, p = 0.023), Avoidance Subscale scores (β = -0.211, SE = 0.481, p = 0.013), Negative Alterations in Cognitions and Mood Subscale scores (β = -0.193, SE = 1.078, p = 0.024), and Alterations in Arousal and Reactivity Subscale scores (β = -0.183, SE = 0.863, p = 0.033).

Table 6 Regression Prediction Models for Secondary Traumatic Stress Symptomatology Using Secondary Traumatic Stress Predictor Variables

Table 7 depicts independent linear regression analyses that assessed the extent to which NOCs’ estimates of their children’s PTSD symptoms (CPSS-NOC Report) predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. The predictive model for PCL-5 Global scores was significant (F = 5.986, p < 0.001, Adjusted R2 = 0.153, SE = 14.723). The predictive model for PCL-5 Intrusion Subscale scores was significant (F = 5.602, p < 0.001, Adjusted R2 = 0.143, SE = 4.595). The predictive model for PCL-5 Avoidance Subscale scores was significant (F = 4.162, p < 0.004, Adjusted R2 = 0.103, SE = 2.54). The predictive model for PCL-5 Negative Alterations in Cognitions and Mood Subscale scores was significant (F = 3.341, p < 0.05, Adjusted R2 = 0.078, SE = 5.731). The predictive model for PCL-5 Alterations in Arousal and Reactivity Subscale scores was significant (F = 5.339, p < 0.01, Adjusted R2 = 0.136, SE = 4.404). NOCs’ estimates of Alterations in Arousal and Reactivity Subscale scores accounted for unshared variance for PCL-5 Global scores (β = 0.316, SE = 0.369, p = 0.011), PCL-5 Intrusion Subscale scores (β = 0.249, SE = 0.115, p = 0.046), PCL-5 Avoidance Subscale scores (β = 0.361, SE = 0.064, p = 0.005), and PCL-5 Alterations in Arousal and Reactivity Subscale scores (β = 0.334, SE = 0.110, p = 0.008). Additional independent linear regression analyses were conducted to assess the extent to which children’s self-reports of their own PTSD symptomatology (CPSS—Child Report) predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. No significant results were found.

Table 7 Regression Prediction Models for Secondary Traumatic Stress Symptomatology Using the CPSS—NOC Report

Table 8 demonstrates the nature of the interactions between discrepancy scores (i.e., the difference between children’s self-reports of their own PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS) and discrepancy score predictors. Significant point-biserial correlation coefficients were found in 26.7% of comparisons. The interactions between CPSS Global and Intrusion discrepancy scores and children’s ages and genders were significant (p < 0.05). These results indicate that having older children and female children were associated with fewer discrepancies between NOCs’ estimates and children’s self-reported PTSD symptomatology overall and with regard to Intrusion symptomatology. NOCs’ relationships with the initiators of the abuse and children’s ages were significantly (p < 0.05) correlated with CPSS Negative Alterations in Cognitions and Mood.

Table 8 Point-Biserial Correlation Matrix of Discrepancy Score Predictors

Table 9 demonstrates the nature of the interactions between discrepancy scores (i.e., the difference between children’s self-reports of their own PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS) and NOCs’ self-reports of their own STS symptomatology on the PCL-5. Significant point-biserial correlation coefficients were found in 32% of comparisons. There were significant (p < 0.05) interactions between CPSS Global discrepancy scores and PCL-5 Global scores, Avoidance Subscale scores, and Alterations in Arousal and Reactivity Subscale scores. These results indicate that higher discrepancy scores were associated with higher Avoidance and Alterations in Arousal and Reactivity symptomatology in NOCs. The interactions between CPSS Alterations in Arousal and Reactivity discrepancy scores and PCL-5 Global and Subscale scores were significant (p < 0.05). Additional independent linear regression analyses were conducted to assess the extent to which discrepancy scores predicted NOCs’ self-reports of their own STS symptomatology on the PCL-5. No significant results were found.

Table 9 Biserial Correlation Matrix of the PCL-5 and CPSS Discrepancy Scores

Table 10 depicts ANCOVAs used to test the predictive value of children’s ages on the discrepancy scores between children’s self-reports of their own PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS. Variance accounted for by the elapsed time between the children’s disclosures of abuse and trauma assessments was controlled for in all analyses. Discrepancy scores in CPSS Global scores and all CPSS Subscale scores, aside from CPSS Avoidance, differed significantly (p < 0.05) between elementary school-aged children and middle school and high school-aged children.

Table 10 Children’s Age Analyses of Covariance on Discrepancy Scores

Table 11 depicts ANCOVAs used to test the predictive value of children’s genders on the discrepancy scores between children’s self-reports of their own PTSD symptomatology on the CPSS and NOCs’ estimates of their children’s PTSD symptomatology on the CPSS. Variance accounted for by the elapsed time between the children’s disclosures of abuse and trauma assessments was controlled for in all analyses. Discrepancy scores in CPSS Global scores and CPSS Intrusion Subscale scores differed significantly (p < 0.05) in male and female children.

Table 11 Children’s Gender Analyses of Covariance on CPSS Discrepancy Scores

Discussion

Data generated in this research adds to the growing body of literature suggesting that NOCs experience secondary traumatic stress (STS) following their children’s disclosures of abuse— irrespective of the nature of the abuse and children’s ages and genders (Lyon & Kouloumpos-Lenares, 1987; Sirles & Franke, 1989). Symptoms of Avoidance, Negative Alterations in Cognitions and Mood, and Alterations in Arousal and Reactivity were higher among NOCs who were in romantic relationships with the initiators of their children’s abuse. NOCs’ heightened distress may have manifested in Avoidance symptomatology on the PCL-5, specifically in hesitancy to seek social support in the aftermath of their children’s disclosures of abuse. NOCs in this sample also appeared to have Negative Alterations in Cognitions and Mood symptomatology, namely indicating feeling guilt or shame when their children were abused by romantic partners. These feelings of guilt and shame may also explain NOCs’ Avoidance symptomatology (i.e., NOCs may avoid reminders of the traumatic events because they want to avoid unwanted feelings of guilt and shame). Feelings of guilt may have also manifested in NOCs’ Alterations in Arousal and Reactivity symptomatology. If NOCs experienced guilt for not initially protecting their children from their romantic partners, they may have been more effortful in protecting their children from possible future abuse (thus indicating hypervigilance on the PCL-5). Being in a romantic relationship with the initiator of abuse did not lead to significant Intrusion symptomatology in NOCs in this sample. This may be because NOCs in this sample were only exposed to their children’s experiences through their children’s explicit accounts of the abuse. NOCs’ Intrusion symptomatology was better explained by their estimates of children’s Alterations in Arousal and Reactivity symptomatology (i.e., observing these symptoms caused NOCs to re-experience disclosures of the traumatic events when they did not want to re-experience the disclosures of the traumatic events).

Negative Alterations in Cognitions and Mood symptomatology was significantly higher among NOCs with trauma histories incongruent with their children’s trauma histories. This result supports findings in established literature suggesting that having a trauma history is an indicator of traumatic stress symptomatology even when individuals only experience a traumatic event vicariously (Marmar et al., 1996; Resick, 2000; Van der Kolk et al., 1996). Further, NOCs exposed to domestic violence may have experienced primary trauma symptoms associated with this exposure. These results support findings in established literature suggesting that individuals with trauma histories may find it difficult to adjust to a recent critical incident if they are having recurrent, distressing memories of past traumatic events (Adams et al., 2001; Brady et al., 1999; Pearlman & MacIan, 1995).

STS symptomatology was not elevated among the subset of NOCs who experienced abuse congruent with their children’s experienced abuse. These results support findings in established literature suggesting that NOCs’ responses to disclosures of abuse are not associated with their own childhood trauma histories (Deblinger et al., 1994; Heriot, 1996; Hubbard, 1989; Leifer et al., 2001; Salt et al., 1990).

The potential impact of elapsed time between children’s disclosures of abuse and their trauma assessments was controlled for in all statistical analyses. Additional bivariate correlation coefficient calculations also showed that trauma symptomatology was more severe among both children and NOCs when there were shorter intervals between children’s disclosures of abuse and their trauma assessments. Cognitive and mood-related trauma symptoms appeared to peak immediately after disclosures of abuse and subsided over time. The effect sizes of elapsed time were modest in statistical size. Elapsed times varied widely within the clinical sample. Factors that led to immediate as opposed to more delayed disclosures were not clearly identified.

Relationships between children’s self-reports of their own PTSD symptomatology and NOCs’ estimates of their children’s PTSD symptomatology were not statistically significant for any criterion measures. These results contradict findings in established literature which suggest that NOCs’ self-reported STS symptomatology is concordant with their children’s PTSD symptomatology (Barakat et al., 1997; Daviss et al., 2000; De Vries et al., 1999; Hanson et al., 1992; Kassam-Adams et al., 2006). NOCs’ overall levels of STS and Intrusion, Avoidance, and Alterations in Arousal and Reactivity symptomatology, however, were significantly associated with their perceptions of their children’s Alterations in Arousal and Reactivity PTSD symptomatology. These results support findings in established literature which suggest that NOCs’ estimates of their children’s PTSD symptomatology mirror their self-reported traumatic stress symptomatology (Valentino et al., 2010).

Discrepancy scores between NOCs’ estimates of their children’s Alterations in Arousal and Reactivity PTSD symptomatology and children’s self-reports of their Alterations in Arousal and Reactivity PTSD symptomatology were significantly correlated with NOCs’ self-reports of their own STS symptomatology. These results suggest that NOCs’ reports of their own STS symptomatology more accurately mirror their perceptions of their children’s PTSD symptomatology. NOCs may have perceived their children as more aroused and reactive, which may have led to higher overall levels of STS and Intrusion, Avoidance, and Alterations in Arousal and Reactivity symptomatology. These results likely stem from the nature of traumatic stress symptomatology. Intrusion, Avoidance, and Negative Alterations in Cognitions symptomatology are not always outwardly apparent. Negative Alterations in Mood symptomatology is often outwardly apparent, but was shown to subside over time in this clinical sample. Alterations in Arousal and Reactivity symptomatology is also outwardly apparent but was not affected by elapsed time in this clinical sample.

The discrepancy score between children’s self-reports of their own PTSD symptomatology and NOCs’ estimates of their children’s PTSD symptomatology was also larger when children were male or between the ages of 7 and 10. Whether NOCs of male children or children between the ages of 7 and 10 greatly overestimated their children’s PTSD symptomatology or whether these children showed less insight regarding their own PTSD symptomatology could not be firmly established from this data set.

Design Limitations and Future Directions

The data obtained in this research was based entirely on retrospective self-reports without verification of the accuracy of any recollections. The clinical sample in this research was also limited in size and restricted to sexual or physical abuse, while excluding poly-victimization. The results of this research may not generalize well to other clinical or more specialized populations that differ substantially in their composition. Clinical procedures did not provide opportunities to examine the quality of the NOC-child relationships or whether NOCs believed and supported their children.

Future research should extend analyses to many different forms of childhood maltreatment including emotional abuse, neglect, drug endangerment, exposure to domestic violence, and poly-victimization. Closer examination of the discrepancy score between children’s self-reports of their own PTSD symptomatology and NOCs’ estimates of children’s PTSD symptomatology is warranted. Future studies should utilize z-scores to demonstrate how this discrepancy score is distributed among a larger sample. Closer examination is also warranted to the quality of the relationships between children and NOCs. Analyses should include assessments of NOCs’ belief in the credibility of their children’s disclosures of abuse in addition to NOCs’ behavioral expressions of support for their children following these disclosures of abuse.

Clinical practitioners should note the discrepancy scores between children’s self-reports of their own PTSD symptomatology and NOCs’ estimates of their children’s PTSD symptomatology. Clinical practitioners should also note the high correlation between NOCs’ estimates of their children’s PTSD symptomatology and NOCs’ self-reports of their own STS symptomatology. These reports may often prove to be incongruent, and future research should be focused on discerning which data source is most accurate in trauma-informed treatment planning. When NOCs’ estimates of their children’s PTSD symptoms are congruent with their children’s self-reports of their own PTSD symptoms, it may be optimal for NOCs with subclinical (< 33) self-reported PCL-5 symptoms to participate in trauma-informed evidence-based treatments with their children (e.g., Trauma Focused Cognitive Behavioral Therapy, the Child and Family Traumatic Stress Intervention, or Parent Child Interaction Therapy). Should NOCs over-estimate their children’s PTSD symptomatology or exceed the PCL-5 clinical cutoff score (> 33), they may benefit from receiving individual sessions of a trauma-informed evidence-based treatment (e.g., Cognitive Processing Therapy or Prolonged Exposure Therapy). In all cases, clinical practitioners must rely on comprehensive measures, clinical observations, and clinical judgment when referring children and their NOCs for trauma-informed evidence-based treatments.