Background
Child maltreatment is associated with an increased risk of long-persisting mental and physical problems [1‐4] including cognitive aspects such as negative self-associations [5, 6]. Caregivers and other important persons are often involved in maltreatment which can have a dramatic impact on a child’s view of himself, his family, and the world.
Cognitive models from trauma research might be helpful in understanding the impact of cognitions on maltreatment recovery. One recognized trauma model is Ehlers and Clark’s cognitive model of posttraumatic stress disorder [7]. It suggests that appraising the traumatic event and its consequences as extremely negative leads to a feeling of current threat with external-related thoughts such as “the world is a scary place where I am highly vulnerable” and internal-related thoughts such as “I am an incompetent person, I will never be the same again”. This perception of current threat is accompanied by intrusions and symptoms of arousal, anxiety, and other emotional responses. Moreover, it also motivates behavioral and cognitive responses which are intended to reduce perceived threat and distress for a short period of time. However, they have the long-term consequence of preventing cognitive change and, therefore, of maintaining the disorder [7]. Permanent and extremely negative appraisals about oneself and the world is conceptualized in the posttraumatic stress disorder (PTSD) symptom cluster negative alterations in cognitions and mood within the latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [8].
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In line with Ehlers and Clark’s model, a lot of research has been done focusing on the extremely negative appraising of the trauma and its consequences. These trauma-related cognitions, also called dysfunctional posttraumatic cognitions, were investigated in heterogeneous international trauma studies showing significant correlations between dysfunctional posttraumatic cognitions and acute stress disorder [9, 10], PTSD [11‐13], symptoms of depression and anxiety [14, 15] as well as externalizing symptoms [14]. Much of the above mentioned research was conducted in samples of children and adolescents with single or accidental traumatic experiences. Studies involving children and adolescents who have been exposed to chronic stress exposure, e.g. maltreatment are rare. Leeson and Nixon [16] had a small sample of children who had experienced maltreatment (n = 24) and a control group (n = 26). They found that children's dysfunctional cognitions about permanent change and a scary world were associated with self-reported depression, self-esteem, and posttraumatic stress symptoms (PTSS). These findings are in line with other studies which found that maltreatment-related cognitions such as threat appraisal or self-blame were associated with internalizing and externalizing problems (e.g. [17, 18]). However, further studies in children and adolescents on maltreatment-related cognitions focusing on the constructs fragile person and scary world, derived from Ehlers and Clark’s model [7], are missing.
Furthermore, the cognitions’ impact on posttraumatic psychopathology is widely acknowledged, but studies on predictors of dysfunctional cognitions are rare. Investigating possible predictors might help to identify children and adolescents more vulnerable to develop and maintain dysfunctional maltreatment-related cognitions. Ehlers and Clark’s model [7] was developed for adults, but the model is applicable for children and adolescents [19, 20]. However, developmental factors should be considered, such as the child’s developmental stage including abstract cognitive abilities, the role of the family etc. [21].
Just a few studies have investigated predictors up to now: Significant gender differences were found, with girls having significantly more dysfunctional posttraumatic cognitions; but no age effect has been detected so far [15, 22]. Additionally, the effect of the trauma type experienced were investigated. Liu and Chen’s study [14] found that children and adolescents, who had experienced a traffic accident, showed most dysfunctional posttraumatic cognitions followed by participants reporting a personal trauma, medical trauma, or natural disaster. In contrast, Meiser-Stedman et al. [15] reported that children, who had experienced an assault, had significantly more dysfunctional posttraumatic cognitions than those who had experienced an accident. Palosaari, Punamäki, Peltonen, Diab and Quota [23] found that war trauma, parental psychological maltreatment, sibling conflict, and loneliness among peers predicted dysfunctional posttraumatic cognitions in war-affected children aged 10–12 years.
Further impact factors can be traced from maltreatment research in children and adolescents: Since several studies showed that experiencing multi-type maltreatment had a significant impact on symptom severity [24, 25], experiencing multi-type maltreatment might also lead to more dysfunctional maltreatment-related cognitions. Moreover, out-of-home-care might impact the amount of dysfunctional maltreatment-related cognitions as well. Kolko et al. [26] described that the prevalence of clinically significant PTSS was higher for children who were placed in out-of-home care than those maintained at home. So, there might be similar results regarding dysfunctional cognitions. Furthermore, coming from a migration background might also have an impact. Migration itself can be a very stressful [27], moreover, Schick et al. [28] found that a migration background was a risk factor of child maltreatment. Additionally, the prevalence in mental disorders differed between migrants and non-migrant in a study by Gaber et al. [29]. It might be possible that there is also a migration-specific effect on dysfunctional maltreatment-related cognitions. Additionally, variables such as socio economic status, perpetrator, and age at onset might impact developing and maintaining dysfunctional maltreatment-related cognitions. However, due to a third of children in out-home-care and mainly multi-type maltreatment in our study sample we were not able to investigate these variables.
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In the current paper, we included variables which have been investigated within dysfunctional posttraumatic cognitions studies such as age, gender, and index-event. Since research on depression regarding cognitive vulnerability showed significantly different cognitive style trajectories in males and females aged between 11 and 15 leading to significantly greater cognitive vulnerability in female adolescents [30], we also investigated the interaction effect of age and gender on maltreatment-related cognitions. Unfortunately, children with a maltreatment background often experience more than one event and/or more than one type of maltreatment, e.g. physical and sexual abuse [25]. Therefore, irrespectively of multi-type maltreatment we asked the children to subjectively rate their most stressful event. Additionally, we chose variables from maltreatment research such as multi-type maltreatment, out-of-home-care, and migration background.
Furthermore, we were interested in the association between cognitions and psychopathology. As mentioned above, a lot of studies in traumatized samples showed significant associations between dysfunctional cognitions and psychopathology. However, dysfunctional cognitions correlated strongly with internalizing symptoms but only to a limited degree with externalizing symptoms suggesting that they are both of interest but should be investigated separately.
Summing up, in this study we sought to fill the current gaps in the literature on maltreatment-related cognitions in investigating the following two research questions:
First, we wanted to explore possible predictors for dysfunctional maltreatment-related cognitions. We considered gender (female > male), age at assessment (adolescents > children), interaction of gender and age, out-of-home-care (yes > no), migration background (yes > no), and multi-type maltreatment (multi-type > single-type maltreatment).
Secondly, we investigated associations of dysfunctional maltreatment-related cognitions with a range of self-reported internalizing and externalizing symptoms, and especially with self-reported PTSS. We hypothesized strong positive correlations between cognitions, PTSS, and further internalizing symptoms, as well as moderately correlations between cognitions and externalizing symptoms.
Methods
Procedure
We included children and adolescents with a known history of exposure to maltreatment reported by the responsible child welfare agency. All participated voluntarily in the German multi-site study CANMANAGE, which is a research collaborative addressing the implementation of managed mental healthcare for children and adolescents who have experienced abuse or neglect (DRKS00003979). The study was approved by the Institutional Review Boards at the different recruiting study sites. Four clinics for child and adolescent psychiatry/psychotherapy in the German federal states of Baden-Wurttemberg, North Rhine-Westphalia, and Lower Saxony served as recruiting study sites in close collaboration with child welfare institutions that referred eligible children and adolescents to the centers. Inclusion criteria were age between 4 and 17, caregivers’ willingness to participate, experience of child abuse and/or neglect as well as informed consent of all legal guardians. Taken all study sites together, 478 children and adolescents were invited for study participation, 65 were not interested in participating in a study in general, 38 declined to cooperate after they had been informed specifically about the CANMANAGE study. In total, 375 participants aged from 4 to 17 who had experienced maltreatment including domestic violence, emotional abuse, neglect, physical, and/or sexual abuse participated in the CANMANAGE project. For the current paper, 107 participants who were younger than 8 years old were not included. Due to the study design, they had not completed the self-report measures we used in our analyses. Out of these 268 eligible participants, 37 participants were excluded because of missing data in relevant variables such as dysfunctional maltreatment-related cognitions, PTSS etc. (> 25% missing data per questionnaire). This led to a sample size of 231 participants, from which 157 had been referred by child welfare institutions and 74 were recruited from clinical settings or came on their own initiative.
Measures
Maltreatment
Maltreatment experiences were assessed using the German version of the structured interview Juvenile Victimization Questionnaire (JVQ) [31] showing good psychometric properties (Cronbach’s α = .80; κ = .59 [32]). Each child was accompanied either by his parents (n = 148, 64.1%) or in one-third by foster care workers or sometimes by other relatives such as grandparents (n = 83, 35.9%). The participating caregivers were non-offending or no longer offending. Due to the research collaborative study design, child and attendant were interviewed together. It was beneficial to have caregiver and child do the interview together, because both reports could be easily combined. However, it is possible that children might have been inhibited by the presence of parents in the interview situation. Nevertheless, in one-third of the cases the children were accompanied by foster care workers or other relatives. Furthermore, most children had been referred by child welfare institutions, therefore, their maltreatment history had been known beforehand. Additionally, separate interviews were possible if either the child or caregiver showed discomfort with the situation. If more than one episode within the JVQ was affirmed, study participants identified the “worst” or most upsetting event. We assumed that the most upsetting event might be the most impacting and relevant event at the moment. Therefore, this event was called “index-event” and referred to when assessing PTSS and dysfunctional maltreatment-related cognitions. Standardized clinical evaluation was performed by trained assessors supervised by study coordinators and the principal investigator.
Maltreatment-related cognitions
The German version of the Child Posttraumatic Cognitions Inventory (CPTCI) [15] is a self-report measure for children and adolescents assessing dysfunctional trauma-related cognitions, derived from Ehlers and Clark’s model [7]. The two subscales consist of 13 items for the subscale permanent and disturbing change (CPTCI-PC) and 12 items for the subscale fragile person in a scary world (CPTCI-SW), which are rated on a 4-point scale with 1 (don’t agree at all), 2 (don’t agree a bit), 3 (agree a bit), and 4 (agree a lot). The scores range from 25 to 100 for the total scale, from 13 to 52 for subscale CPTCI-PC, and from 12 to 48 for subscale CPTCI-SW. Examples for items are “My reactions since the frightening event mean I have changed for the worse” (CPTCI-PC item) or “I can’t stop bad things from happening to me” (CPTC-SW item). The German version showed good psychometric properties in both total scale (Cronbach’s α = .94) and subscales (Cronbach’s α = .91 and .86) [12]. Since the subscales were highly correlated with the total score (Spearman’s correlations = .94 and .93, p < .001) as well as highly intercorrelated (Spearman’s correlations = .76, p < .001) in our current sample, only the total score was used (Cronbach’s α = .92).
Posttraumatic stress symptoms
The German version of the University of California at Los Angeles Post-Traumatic Stress Disorder Reaction Index (UCLA PTSD-RI) [33] is a self-report measure of PTSS according to DSM-IV for school-age children and adolescents with good psychometric properties (e.g. Cronbach’s α = .88–.91 [34]; current study Cronbach’s α = .83). For the total score 17 items were included, rated on a 5-point scale from 0 (none of the time) to 4 (most of the time).
Internalizing and externalizing symptoms
Internalizing and externalizing symptoms were assessed using the self-report of the German version of the Strengths and Difficulties Questionnaire (SDQ) [35]. This 25-item questionnaire rated on a 3-point scale with 0 (not true), 1 (somewhat true), and 2 (certainly true) showed adequate psychometric properties (Cronbach’s α mean = .73) [36]. Although the self-report version was developed for children aged 11–17 years old, we used it for our whole sample including children aged 8–10 years. Mellor [37] showed that the self-report is applicable for this younger age group. The measure has five subscales consisting of five items each: prosocial behavior, conduct problems, peer relationship problems, emotional problems, and hyperactivity/inattention. We did not include the prosocial subscale, but used the other four subscales (= 20 items) to create a total difficulties score (Cronbach’s α = .77). On a sub-score level [38], the subscales peer relationship problems and emotional problems were subsumed to the sub-score internalizing problems (Cronbach’s α = .72); the subscales conduct problems and hyperactivity/inattention to the sub-score externalizing problems (Cronbach’s α = .67).
Data analyses
Statistical analyses were performed using the Statistical Package for Social Sciences (SPSS, version 21.0). Statistical significance was established at an alpha level of .05.
First, descriptive analysis regarding sample description and dysfunctional maltreatment-related cognitions were calculated. To get a first impression how relevant the items were, we checked how many participants rated each item with 3 (agree a bit) and 4 (agree a lot). Secondly, a multiple linear regression analysis was calculated for investigating gender, age, interaction of gender and age, index-event, multi-type maltreatment, out-of-home-care, and migration background as possible predictors. All predictors were categorical variables; therefore, effect coding was applied to them. Effect coding compares how the effect differs from the grand mean [39]. Dummy coding was applied to the variable multi-type maltreatment with subgroup single-type maltreatment used as the reference variable to compare with the other options of multi-type maltreatment ranging from two to five maltreatment types. Experiencing five types meant, for example, that these participants had experienced domestic violence, emotional abuse, neglect, physical abuse, and sexual abuse. When calculating the multiple linear regression analysis, we included all variables in one step simultaneously. Finally, Spearman’s correlations were conducted to investigate the association between cognitions, PTSS, further internalizing, and externalizing symptoms. Because of these multiple tests the p values were Sidak-adjusted in order to prevent misleading results due to alpha error inflation.
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Results
Descriptive analyses
First of all, the description of our sample is given in Table 1.
Table 1
Sociodemographic data and maltreatment-related information
Variable | Subgroup | Total sample N = 231 | |
|---|---|---|---|
n
| % | ||
Gender | Male | 133 | 57.6 |
Female | 98 | 42.4 | |
Age | Children (8–12) | 149 | 64.5 |
(M = 12.0, SD = 2.5) | Adolescents (13–17) | 82 | 35.5 |
School | Elementary school | 63 | 27.3 |
Middle and high school | 106 | 45.9 | |
School for children with learning difficulties | 46 | 19.9 | |
Not determineda
| 16 | 6.9 | |
Household incomes per month | Under 500 € | 7 | 3.0 |
500 €–under 1000 € | 26 | 11.3 | |
1000 €–under 2000 € | 65 | 28.1 | |
2000 €–under 3000 € | 40 | 17.3 | |
3000 €–under 4000 € | 25 | 10.8 | |
4000 €–under 5000 € | 20 | 8.7 | |
5000 € and more | 11 | 4.8 | |
Not determineda
| 37 | 16.0 | |
Occupation mother | Not employed (e.g. pensioner, student etc.) | 65 | 28.1 |
Unemployed, seeking work | 35 | 15.2 | |
Temporary leave of absence e.g. parental leave | 8 | 3.5 | |
Part-time job or employed on hourly basis | 68 | 29.4 | |
Full-time job | 34 | 14.7 | |
Apprentice | 1 | .4 | |
Not determineda
| 20 | 8.7 | |
Occupation father | Not employed (e.g. pensioner, student etc.) | 29 | 12.6 |
Unemployed, seeking work | 22 | 9.5 | |
Temporary leave of absence e.g. parental leave | 0 | .0 | |
Part-time job or employed on hourly basis | 16 | 6.9 | |
Full-time job | 112 | 48.5 | |
Apprentice | 3 | 1.3 | |
Not determineda
| 49 | 21.2 | |
Index-event | Domestic violence | 57 | 24.7 |
Emotional abuse | 23 | 10.0 | |
Neglect | 30 | 13.0 | |
Physical abuse | 65 | 28.1 | |
Sexual abuse | 56 | 24.2 | |
Maltreatment type (Note. Take multi-type maltreatment in account) | Domestic violence | 158 | 68.4 |
Emotional abuse | 124 | 53.7 | |
Neglect | 131 | 56.7 | |
Physical abuse | 175 | 75.8 | |
Sexual abuse | 89 | 38.5 | |
Co-occurrence of maltreatment types | Single-type maltreatment | 32 | 13.9 |
Two types | 58 | 25.1 | |
Three types | 59 | 25.5 | |
Four types | 58 | 25.1 | |
Five types | 24 | 10.4 | |
Out-of-home-care | Yes | 78 | 33.8 |
No | 153 | 66.2 | |
Migration backgroundb
| Yes | 75 | 32.5 |
No | 128 | 55.4 | |
Not determineda
| 28 | 12.1 | |
Table 2 shows the five dysfunctional maltreatment-related cognitions the participants agreed the most with. It included thoughts such as “I can’t stop bad things from happening to me”, “Anyone could hurt me”, or “I’m scared that I’ll get so angry that I’ll break something or hurt someone”.
Table 2
Top 5 dysfunctional maltreatment-related cognitions
Item | Agree a bit/agree a lot (%) | Subscale |
|---|---|---|
I can’t stop bad things from happening to me | 50.2 | CPTCI-SW |
Anyone could hurt me | 41.1 | CPTCI-SW |
I’m scared that I’ll get so angry that I’ll break something or hurt someone | 36.8 | CPTCI-PC |
I can’t cope when things get tough | 35.9 | CPTCI-SW |
I have to watch out for danger all the time | 32.0 | CPTCI-SW |
Possible predictors
Table 3 shows means, standard deviations, minima and maxima of dysfunctional maltreatment-related cognitions.
Table 3
Means, standard deviations, and ranges of dysfunctional maltreatment-related cognitions
Variable |
n
| CPTCI total score range (25–100) | ||||
|---|---|---|---|---|---|---|
M
|
SD
| Min | Max | |||
Gender | 133 | Male | 42.84 | 13.12 | 25 | 86 |
98 | Female | 48.32 | 15.40 | 25 | 95 | |
Age (at assessment) | 149 | Children (8–12) | 44.05 | 13.00 | 25 | 86 |
82 | Adolescents (13–17) | 47.20 | 16.44 | 25 | 95 | |
Male | 91 | Children (8–12) | 44.09 | 13.47 | 25 | 86 |
42 | Adolescents (13–17) | 40.14 | 12.04 | 25 | 75 | |
Female | 58 | Children (8–12) | 43.98 | 13.33 | 25 | 76 |
40 | Adolescents (13–17) | 54.60 | 17.30 | 25 | 95 | |
Index-event | 57 | Domestic violence | 43.51 | 12.98 | 25 | 78 |
23 | Emotional abuse | 43.96 | 16.15 | 25 | 84 | |
30 | Neglect | 45.20 | 14.07 | 26 | 86 | |
65 | Physical abuse | 43.68 | 12.64 | 25 | 86 | |
56 | Sexual abuse | 49.05 | 16.56 | 25 | 95 | |
Co-occurrence of maltreatment types | 32 | Single-type maltreatment | 43.25 | 16.41 | 25 | 90 |
58 | Two types | 44.16 | 13.14 | 25 | 84 | |
59 | Three types | 42.95 | 13.19 | 25 | 86 | |
58 | Four types | 45.72 | 12.28 | 25 | 76 | |
24 | Five types | 54.25 | 18.74 | 28 | 95 | |
Out-of-home-care | 78 | Yes | 43.78 | 12.19 | 25 | 86 |
153 | No | 45.87 | 15.33 | 25 | 95 | |
Migration backgrounda
| 75 | Yes | 44.23 | 13.21 | 25 | 90 |
N = 203 | 128 | No | 44.63 | 14.79 | 25 | 95 |
Gender, the interaction of gender and age as well as experiencing all kind of maltreatment types (co-occurrence of all five maltreatment types) had a significant impact on dysfunctional maltreatment-related cognitions (see Table 4). The overall model explained 20% of the variance in dysfunctional maltreatment-related cognitions (F(13) = 3.63, p < .001).
Table 4
Predictors of dysfunctional maltreatment-related cognitions
Unstandardized coefficients | Standardized coefficients | ||||
|---|---|---|---|---|---|
Β
|
SE B
| β |
t
|
p
| |
Constant | 40.80 | 2.76 | 14.81 | .000 | |
Gender | 3.48 | 1.02 | .24 | 3.40 | .001 |
Age (at assessment) | 1.62 | 1.02 | .11 | 1.58 | .115 |
Gender × age | 4.46 | 1.01 | .31 | 4.40 | .000 |
Index-event | |||||
Domestic violence | .71 | 1.80 | .03 | .39 | .695 |
Neglect | .63 | 2.29 | .02 | .28 | .782 |
Physical abuse | −.78 | 1.72 | -.03 | −.45 | .652 |
Sexual abuse | 1.58 | 1.91 | .06 | .83 | .410 |
Co-occurencea
| |||||
Two types | 3.16 | 3.26 | .10 | .97 | .334 |
Three types | 1.44 | 3.29 | .04 | .44 | .662 |
Four types | 2.53 | 3.21 | .08 | .79 | .433 |
Five types | 11.19 | 3.95 | .24 | 2.84 | .005 |
Out-of-home-care | −1.68 | 1.06 | −.11 | −1.58 | .116 |
Migration backgroundb
| −.35 | .99 | −.02 | −.35 | .725 |
Model summary |
F(13) = 3.63, p < .001, R = .447, R
2
= .200, R
2
adj. = .145 | ||||
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Association with psychological symptoms
Dysfunctional maltreatment-related cognitions correlated strongly (r > .50) with PTSS, further internalizing symptoms as well as the total difficulties score. They were moderately associated (r > .30) with externalizing symptoms (see Table 5). The correlations between cognitions and PTSS were significantly stronger than the correlation between cognitions and externalizing symptoms (r = .72 vs. r = .43, Z = 4.78, p < .001). Furthermore, the association between cognitions and internalizing symptoms were also significantly stronger than cognitions and externalizing symptoms (r = .65 vs. r = .43, Z = 3.37, p < .001).
Table 5
Spearman’s correlations between dysfunctional maltreatment-related cognitions, posttraumatic stress symptoms, further internalizing, and externalizing symptoms
UCLA PTSD-RI | SDQ internalizing problems | SDQ externalizing problems | SDQ total difficulties score | |
|---|---|---|---|---|
CPTCI total score | .72 | .65 | .43 | .64 |
Discussion
The aim of our study was to gain better understanding of dysfunctional maltreatment-related cognitions in children and adolescents by investigating possible predictors of dysfunctional cognitions as well as their correlations with internalizing and externalizing symptoms. First of all, we found that dysfunctional cognitions regarding permanent and disturbing change and fragile person in a scary world derived from Ehlers and Clark’s model [7] were relevant in children and adolescents with a chronic maltreatment background: For example, 50% of our sample agreed with the thought “I can’t stop bad things from happening to me” portraying a feeling of a fragile person in a scary world. Furthermore, on total scale level, we found descriptively that the means of dysfunctional maltreatment-related cognitions in the subgroups females, adolescents, female adolescents, index-event sexual abuse, and experiencing all five maltreatment types were within and above the clinically significant CPTCI cutoff range of 46 to 48. This cutoff range was found to be the best indicator of clinically significant appraisals determined by the presence of PTSD in a hospital-recruited sample of 535 participants aged 7–17 years [40]. Although the differences in the sample background needs to be taken into account, it shows that we had dysfunctional maltreatment-related cognitions within a clinical relevant range in our sample.
Consistent with this descriptive observation mentioned above, gender as well as the interaction of gender and age were significant predictors for dysfunctional maltreatment-related cognitions. In line with previous studies [15, 22], girls had significantly more dysfunctional maltreatment-related cognitions than boys; age did not have a significant effect. Building on these findings of previous studies, a significant interaction effect of gender and age was detected, with female adolescents showing most dysfunctional cognitions. This is in line with Mezulis et al. [30] who described that significantly different cognitive style trajectories in males and females aged between 11 and 15 led to significantly greater cognitive vulnerability in female adolescents. Two depression research models might help to understand these differences in adolescents better. Research findings who support the exposure model reported that a higher prevalence of depression in female adolescents [41] can be explained by a higher cognitive vulnerability in females [42, 43]. However, a second model, the cognitive scar model [44], suggests that preceding higher depression scores in girls predict higher dysfunctional cognitions in female adolescents [30]. Adapting these two models to dysfunctional maltreatment-related (or posttraumatic) cognitions and PTSD might help us to understand the association between age, gender, cognitions, PTSS, and depression better. Different ways are possible: (a) The reason for a higher female PTSD prevalence after traumatic events [45] might emerge due to higher levels of dysfunctional cognitions in females; (b) Preceding higher PTSD scores in girls might predict higher dysfunctional cognitions in female adolescents; (c) Preceding higher depression scores in girls might predict higher dysfunctional cognitions which eventually lead to higher PTSD scores in female adolescents. Longitudinal research on the transition from childhood to adolescence is needed. However, when investigating age and gender it might be important to take the trauma experience in account. Female participants often report more sexual abuse than male participants [46]. In our sample, female adolescents reported more sexual abuse (57.5%) than female children (46.6%), male adolescents (35.7%), or male children (26.4%). Regarding sexual abuse as index-event we found the following distributions: female adolescents 40%, female children 27.6%, male adolescents 26.2%, and male children 14.3%. However, we did not find that sexual abuse (as index-event) or any other maltreatment type was significantly associated with more dysfunctional cognitions compared to the other maltreatment types. This might be explained by the fact that even if their subjectively most stressful event differed, most of them had a similar history of multiple forms of maltreatment. Regarding multi-type maltreatment, we only found a significant impact of experiencing all five kind of maltreatment types (domestic violence, emotional abuse, neglect, physical abuse, and sexual abuse) on cognitions compared to single-type maltreatment. Experiencing two to four maltreatment types compared to single-type maltreatment did not predict significantly more dysfunctional cognitions. This is contrary to several studies showing that experiencing multi-type maltreatment had a significant impact on symptom severity [24, 25]. Dysfunctional cognitions and symptoms severity might, therefore, be seen independently in the context of multi-type maltreatment, even though they are generally highly correlated. Further studies are needed to understand the association between multi-type maltreatment, dysfunctional cognitions, and symptom severity. Furthermore, neither out-of-home-care nor migration background emerged as significant predictors for dysfunctional maltreatment-related cognitions. The latter is in line with studies about other variables such as health-related quality of life [47] and internalizing disorders [48] that did not find significant differences between migrants and non-migrants either. All in all, our regression model only accounted for 20% variance and when adjusted to the amount of variables we were using only 14.5%. Focusing solely on child-related cognitions seems not enough.
Regarding our second hypothesis the association between dysfunctional maltreatment-related cognitions and psychopathology our findings of strong correlations between dysfunctional maltreatment-related cognitions and self-reported PTSS as well as further internalizing symptoms are consistent with previous studies [12, 15, 16]. In contrast, studies comparing dysfunctional cognitions with parent-reported internalizing problems found smaller correlations [14, 16]. Discrepancies between self-reports and proxy-reports are in line with the literature [49]. The assessment of internalizing problems preferably includes multiple informants [50‐54], because parents might underestimate symptoms [55] or their reporting might be influenced by their own symptoms [56]. Despite the differences between self-reports and proxy-reports, the strong correlations between dysfunctional maltreatment-related cognitions and self-reported internalizing symptoms support Leeson and Nixon’s statement [16] that dysfunctional cognitions play a particularly important role in the development of internalizing symptoms in children who have experienced maltreatment, similar to adult studies [6, 57, 58]. However, the relationship between dysfunctional maltreatment-related cognitions, PTSS, and internalizing symptoms could also be comparable to the results about cognitive vulnerability in depression which reported bidirectional changes over time among cognitions and internalizing symptoms [59]. Due to our cross-sectional design we were not able to investigate causal relationships between cognitions and psychopathology.
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The moderate correlations between dysfunctional cognitions and externalizing symptoms in our study were slightly stronger than in studies which had assessed proxy-reported externalizing symptoms [14, 16]. Again, discrepancies between self-reports and proxy-reports might be one reason for the slightly different results. However, other studies showed that child maltreatment had the long-term effect of externalizing and antisocial behavior impacted by objective variables such as chronicity [60] as well as more subjectively biased variables such as alienation from the primary caregiver [61]. Dysfunctional maltreatment-related cognitions might therefore be a basis for later externalizing behaviour problems. One-third in our sample agreed with the thought “I’m scared that I’ll get so angry that I’ll break something or hurt someone” which might give an idea about the relevance of externalizing problems. Further studies on trauma, maltreatment, dysfunctional cognitions, and externalizing symptoms are needed to gain a better understanding of their relationships. Additionally, gender-specific pattern should be taken into account: Cullerton-Sen et al. [62], for example, reported that maltreatment was associated with physical aggression for male adolescents and relational aggression for female adolescents.
Limitations
Several limitations of this study need to be mentioned. Because of the cross-sectional design, we could not prove any causal relationship between variables. Nevertheless, we were able to add important information regarding dysfunctional cognitions and psychological symptoms from a cross-sectional angle. Moreover, we only used child self-reported data regarding dysfunctional cognitions and psychopathology which might have led to a biased information content. Further limitations emerge from our study sample, because most participants reported multi-type maltreatment. Multi-type maltreatment is very common in children and adolescents with a maltreatment background. However, it made it difficult for us to assess the impact of distinct maltreatment-types or timing of abuse. Additionally, we were not able to control for variables such as socio economic status, perpetrator, and age at onset which might have had an effect as well. They might be the reason for non-significant findings regarding maltreatment type or frequency. Maybe perpetrator and age at onset play a more important role than the event itself or they interact with the event and frequency. Furthermore, our study focused solely on demographic variables, however, variables such as temperament or coping styles might also play an important role.
Implications
The strong associations between dysfunctional maltreatment-related cognitions and psychological symptoms underline the clinical relevance of dysfunctional appraisals which should be included routinely in clinical assessment. With the CPTCI original and short form [40], two screening instruments are available for children and adolescents to assess and monitor dysfunctional cognitions systematically. Female adolescents, in particular, tend to develop dysfunctional maltreatment-related cognitions, and this need to be taken into account when planning interventions. Cognitive restructuring in the case of distorted maltreatment-related cognitions might, therefore, be a promising strategy to prevent chronic psychological problems following victimization, something that has already been demonstrated for cognitive treatments of maltreatment-related posttraumatic stress disorder [63].
Furthermore, dysfunctional maltreatment-related cognitions are associated not only with internalizing, but also externalizing symptoms. The relationship between dysfunctional cognitions and externalizing symptoms merits more attention in research and clinical practice. Otherwise, maltreated children with externalizing symptomatic might be treated only on the behavioral level and the underlying cognitive component might be missed.
Further research is needed on different topics. On one hand, more research is needed to understand gender differences for developing dysfunctional cognitions in the aftermath of maltreatment and/or trauma. Additionally, other possible predictors of dysfunctional posttraumatic or maltreatment-related cognitions should be investigated, e.g. parental-related variables or further child-related variables such as temperament, coping styles, and cognitive ability. Structural equation modeling combining predictors, dysfunctional cognitions, and child symptoms in a longitudinal design would be a further step. Furthermore, more longitudinal studies are necessary to investigate the pathways between cognitions and psychopathology. Especially research about dysfunctional cognitions and externalizing symptoms are of interest.
Conclusions
Dysfunctional maltreatment-related cognitions have been rarely investigated so far, therefore, we are able to add important knowledge to this topic with the findings from our large study sample. Both the descriptive analysis of the dysfunctional maltreatment-related cognitions and their strong associations with psychological symptoms underline that dysfunctional cognitions regarding permanent and disturbing change and fragile person in a scary world, derived from Ehlers and Clark’s recognized cognitive model [7], seems to be relevant in children and adolescents with a chronic maltreatment background. Due to the cognitions' association with psychopathology, dysfunctional maltreatment-related cognitions need to be addressed in assessment and treatment. Especially female adolescents tend to develop dysfunctional maltreatment-related cognitions, and this is important to keep in mind when supporting them to cope with their maltreatment experiences.
Authors’ contributions
AdH carried out the analyses and drafted the initial manuscript. HGG, AM, and AW coordinated the data collection and critically reviewed the manuscript. LG conceptualized and designed the study, supervised data collection and analyses, and critically reviewed the manuscript. All authors read and approved the final manuscript.
Acknowledgements
The authors want to thank the participants for sharing their experiences and the interviewers who conducted the interviews.
Competing interests
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
This study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All caregivers or legal guardians gave their informed consent, and children and adolescents provided their informed assent prior to their inclusion in the study.
Funding
The CANMANAGE project was funded by the German Federal Ministry of Education and Research (Grant 01KR1202A).
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