- Research
- Open access
- Published:
International Trauma Questionnaire and Posttraumatic Cognitions Inventory-9: validity evidence and measurement invariance of their Brazilian versions
Psicologia: Reflexão e Crítica volume 37, Article number: 18 (2024)
Abstract
Background
The International Trauma Questionnaire (ITQ) is used to measure posttraumatic stress disorder (PTSD) and complex posttraumatic stress disorder (CPTSD) symptoms, and the Posttraumatic Cognitions Inventory-9 (PTCI-9) is used to measure posttraumatic cognitions. Both tools have been translated for use in Brazil. However, the psychometric properties of the Brazilian versions were not investigated, and no study has verified the invariance of these tools for many traumatic event types.
Objective
This study examined the validity, reliability, and measurement invariance of the Brazilian versions of the ITQ and the PTCI-9 for trauma type, gender, race, age group, education level, and geographical region.
Methods
A total of 2,111 people (67.74% women) participated in an online survey. The scale models were tested via confirmatory factor analyses and measurement invariance through multigroup analyses. Pearson’s correlation analyses were used to examine the relationships between PTSD, CPTSD, posttraumatic cognitions, and depressive symptoms.
Results
Except for the affective dysregulation factor, the reliabilities of the ITQ and PTCI-9 dimensions were adequate. Models with six correlated dimensions for the ITQ and three correlated dimensions for the PTCI-9 showed adequate fit to the data. The ITQ and PTCI-9 exhibited scalar invariance for gender, race, age group, education level, and geographical region. The ITQ also demonstrated full invariance for trauma type. The factors of both instruments were related to each other and to depressive symptoms, with higher effect sizes for posttraumatic cognitions and complex posttraumatic stress disorder symptoms.
Conclusion
We recommend using the Brazilian versions of the ITQ and PTCI-9, which are crucial tools for assessing and treating trauma-related disorders.
Most people will experience life events that are highly stressful or traumatic. A recent review of prevalence studies (Schein et al., 2021) revealed that 8–84% of people exposed to such events will develop posttraumatic stress disorder (PTSD). PTSD encompasses symptoms of intrusive reexperiencing of a traumatic event, accompanied by intense emotions, avoidance of event-related stimuli, and a state of generalized hypervigilance (WHO, 2018). Moreover, individuals who experience traumatic events present distorted beliefs about themselves (e.g., “I have no future”), the world (e.g., “People can’t be trusted”), and their levels of blame for the occurrence (e.g., “The event happened because of the way I acted”; Foa et al., 1999). In terms of associated clinical conditions, depression is among the most prevalent comorbidities in individuals with PTSD and posttraumatic cognitions (Camden et al., 2023; Serier et al., 2023).
There is a consistent relationship between trauma-related cognitions and PTSD severity (Gómez de La Cuesta et al., 2019). For the measurement of trauma-related cognitions, Foa et al. (1999) developed the Posttraumatic Cognitions Inventory (PTCI) based on emotional processing theory. The theory focuses on the idea that traumatic life events modify a person’s beliefs, influencing later emotional responses. Effective treatments for PTSD impact the reduction of posttraumatic cognitions, and, commonly, this reduction precedes symptom remission (Brown et al., 2019), thereby corroborating the relevance and potential mechanism of changes in beliefs about the self, about the world and self-blame in PTSD.
Posttraumatic cognitions have a more substantial impact on traumatic events that involve interpersonal aggression, with minimal or no chance to escape, and that last long periods (e.g., child abuse, bullying, sexual abuse). Victims of those types of trauma report having more negative cognitions about the self, the world, and self-blame than victims of single-impact events, such as natural disasters or car accidents (Foa et al., 1999; Müller et al., 2010). Victims may also develop symptoms such as emotional dysregulation and difficulties in establishing interpersonal relationships. Therefore, alongside PTSD symptoms (reexperience, hypervigilance, avoidance), some individuals are prone to a set of potential symptoms of disorganization that are absent from the basic diagnosis. This pathological profile is called complex PTSD (Herman, 2015).
Recent analyses of PTSD symptoms and their characteristic effects on survivors of complex trauma have corroborated the notion of complex PTSD as an independent diagnosis (Cloitre et al., 2014; Redican et al., 2021). The International Classification of Diseases (ICD-11; WHO, 2018) classifies reactions to posttraumatic events as PTSD or complex PTSD (CPTSD). CPTSD includes symptoms of PTSD and disturbances of self-organization (DSO). DSO encompasses affective dysregulation, negative self-concept, and interpersonal difficulties. Both diagnoses require symptoms to cause significant impairment in relevant areas of social or occupational functioning.
The International Trauma Questionnaire (ITQ) was developed to measure symptoms of PTSD and CPTSD, as described by the ICD-11. To date, the ITQ is the only measure for CPTSD (Cloitre et al., 2018). The ITQ assesses six dimensions: reexperience (RE), hypervigilance (HV), and avoidance (AV) as PTSD symptoms; and affective dysregulation (AD), negative self-concept (NSC), and disturbances in relationships (DR) as DSO symptoms. Two-factor structures have shown better adjustment in the literature: a model with six correlated factors and a model containing two second-order dimensions corresponding to PTSD and DSO (Redican et al., 2021). However, a hierarchical model is underidentified for ITQ, as it estimates second-order factors from three first-order factors (Kline, 2023). In other words, both models (hierarchical and six hierarchical factors) are equivalent.
The PTCI assess three dimensions: cognitions about the self, the world, and self-blame. The original version has 33 items and was adapted to several cultures, demographics, and trauma types (Barzgar et al., 2023; Lebel et al., 2022). Nevertheless, its version exhibits an unstable factor structure, with further examination suggesting a reduction (Beck et al., 2004; Hyland et al., 2015) or an increase (Sexton et al., 2018) in items. Wells et al. (2019) developed a 9-item version of the PTCI (PTCI-9) to resolve instrument instability, excluding items showing semantic redundancy and residual correlations. The PTCI-9 shows superior adjustment indices for samples exposed to different traumatic events (Serier et al., 2023; Whitemann et al., 2022) and cultures (Barzgar et al., 2023; Zhan et al., 2024).
Similar to the ITQ, the proposed model for the PTCI-9 estimates a general factor from the three first-order dimensions (Wells et al., 2019), but it is also underidentified. In military and civilian samples, the three correlated factors of the PTCI-9 show adequate adjustment, superior to more extensive versions of the instrument, in addition to being invariant for biological sex (Serier et al., 2023; Whitemann et al., 2022). Women are more likely to be diagnosed with PTSD than men (Lehavot et al., 2018). Tolin and Foa’s (2002) cognitive model of PTSD proposed that differences in how men and women think about trauma after it has occurred (their trauma-related cognitions) may be a contributing factor. Trauma-exposed women endorsed more negative posttraumatic cognitions in a national sample of U.S. adults (Cox et al., 2014). Psychological constructs and the associated tests of these constructs may differ as a function of gender identity. Gender, as a psychological construct, impacts responses to trauma (Street & Dardis, 2018) and could influence how men and women describe posttraumatic cognitions. Measurement invariance examines whether a test measures similar constructs across groups and is an essential prerequisite for identifying group differences (Vandenberg & Lance, 2000).
The original model proposed for ITQ and tested in a United Kingdom sample (Cloitre et al., 2018) was replicated in different ethnic realities, such as in samples from the United States and Germany (Karatzias et al., 2017); France (Peraud et al., 2022); Nigeria, Kenya, and Ghana (Owczarek et al., 2020); Lebanon (Vallières et al., 2018); China, Hong Kong, Japan, and Taiwan (Ho et al., 2020); and Chile (Fresno et al., 2023). Despite the acceptable adequacy of the ITQ model, the low reliability of the AD items is a persistent issue in different ITQ versions, with the authors highlighting the necessity of expanding the number of items and developing a multidimensional model for the factor. In fact, the AD factor encompasses content related to hyperactivation and hypoactivation symptoms (Cyr et al., 2022; Sele et al., 2020; Vallières et al., 2018). The original ITQ model and the reliability of the AD factor remain to be investigated in a Portuguese-speaking sample.
The PTCI-9 has been validated in only three countries: Iran (Barzgar et al., 2023), China (Zhan et al., 2024), and the United States (Wells et al., 2019; Whiteman et al., 2022). The PTCI-9 presented a better fit than its extended version in all the samples. However, the Iranian version of the PTCI-9 showed inadequate adjustment, possibly due to translation issues. In Iran, item 3 did not load in the intended factor “Cognitions About Self-Blame”. Instead, it was related to “Cognitions About the Self”. The authors pointed out that the item 3 content (“Somebody else would not have gotten into this situation.”) does not reflect self-blame in the Persian language and that the translation should be revised in future studies (Barzgar et al., 2023). The PTCI-9 remains to be validated in a Latin American country.
The ITQ and PTCI-9 were translated into Brazilian Portuguese (Donat et al., 2019; Sbardelloto et al., 2013). However, the evidence of their reliability, validity related to external variables and internal structure, and measurement invariance across Brazilian samples still lacks investigation. Given the extent of the Brazilian territory and population, as well as the cultural diversity within the country, it is essential that a measure adequately assesses the construct in different regions. Additionally, people of different genders, ethnic backgrounds, age groups, and instruction levels should understand the items similarly, permitting group comparisons. Despite previous studies having included samples exposed to various trauma types (Wells et al., 2019; Whitemann et al., 2022) and presenting evidence for invariance for interpersonal and non-interpersonal traumas (Zhan et al., 2024), the PTCI-9 lacks evidence of invariance for various trauma types, an assumption necessary for comparison. The ITQ shows full invariance between clinical and nonclinical samples (Rácz et al., 2023), but its invariance for sociodemographic variables and traumatic events remains untested. Therefore, this study aimed to investigate the psychometric properties of the PTCI-9 and the ITQ. The hypotheses are as follows:
-
Hypothesis 1: The six correlated factors model for ITQ will present adequate adjustment for all indices, congruent with previous investigations (Redican et al., 2021).
-
Hypothesis 2: The three correlated factors for the PTCI-9 will show adequate adjustment for all indices, as in the original development study (Wells et al., 2019).
-
Hypothesis 3: The ITQ and PTCI-9 will present full invariance for sociodemographic data in the Brazilian sample, as they have shown invariance in previous investigations of clinical and nonclinical samples (Rácz et al., 2023), gender and type of traumatic event (Serier et al., 2023; Zhan et al., 2024).
-
Hypothesis 4: Posttraumatic cognitions and depressive symptoms will correlate with all six dimensions of the ITQ, with larger effect sizes for DSO symptoms (Camden et al., 2023; Herman, 2015; Serier et al., 2023).
-
Hypothesis 5: Consistent with previous studies, women will show higher levels of PTSD and CPTSD symptoms (Cloitre et al., 2019).
-
Hypothesis 6: Women will also display higher levels of posttraumatic cognitions (Cox et al., 2014; Serier et al., 2023).
-
Hypothesis 7: People who experience trauma characterized by interpersonal violence will display higher levels of DSO symptoms and posttraumatic cognitions (Herman, 2015).
Method
Participants
An online questionnaire was administered via Google Forms (Google, LLC.), and 2,128 people responded to the survey. The inclusion criteria were having experienced a stressful event (with or without a self-reported diagnosis), being 18 years old or older, and being Brazilian. Participants who reported diagnoses that presented psychotic symptoms or did not describe a traumatic event were excluded from the analysis. Ten participants were not included in the analysis because they were not Brazilian, and 7 participants were excluded because they did not describe a traumatic event or reported not having experienced trauma in their lifetime. Therefore, data from 2,111 people (67.74% women) were included for analysis. Regarding gender, 0.86% of the sample declared identification with gender identities other than male and female (agender = 0.05%, nonbinary = 0.57%, gender neutral = 0.05%, none = 0.05%, and queer = 0.09%). Regarding race, 0.71% of the sample declared identification with other races (indigenous = 0.33%, yellow = 0.05%, caboclo = 0.05%, Latinos = 0.09%, and mestizo = 0.05%). A total of 0.05% of participants preferred not to declare their race or gender identities. The mean age was 28.60 years (SD = 9.25). For invariance analyses, participants were divided into three age groups: 18 to 24 years old (n = 926), 25 to 35 years old (n = 782), and 36 to 55 years old (n = 410). Table 1 summarizes the sociodemographic data of the sample, and Table 2 shows the frequency of reported trauma types.
Instruments
Sociodemographic questionnaire
This questionnaire contains questions about participants’ age, gender, race, income, occupation, and instruction level.
Adverse situation descriptive questionnaire
This questionnaire was developed for the Brazilian population by Campos and Trentini (2019). It includes an open-ended item inviting respondents to describe the most stressful situation they faced during their lifetime. Participants are asked to report the time that has passed since the event, the stress level felt during the event and in the present, and the social support received after the event.
ITQ
The ITQ is the gold standard for assessing symptoms of PTSD and complex PTSD. The ITQ comprises ten items assessing six domains: HV, AV, RE, AD, DR, and NSC. Participants respond to items (symptoms) about how much they have been disturbed by them in the last few months on a 5-point ordered response scale: 0 (“not at all”) - 4 (“extremely”; Cloitre et al., 2014). The ITQ was adapted for Brazil by Donat et al. (2019), but the psychometric properties of the Brazilian ITQ have not yet been investigated.
PTCI-9
The PTCI-9 investigates cognitions about the self, the world, and self-blame. Respondents rate their level of agreement with the items on a seven-point ordered response type scale: 1 (“completely disagree”) - 7 (“completely agree”; Foa et al., 1999). The original items were translated into the Brazilian Portuguese (Sbardelloto et al., 2013). However, the external and internal validity of the Brazilian PTCI-9 have not been investigated.
Patient Health Questionnaire 9 (PHQ-9)
The PHQ-9 includes nine questions that assess symptoms of an episode of major depression according to the DSM-5. Symptoms consisted of depressed mood, anhedonia, problems with sleep, tiredness or lack of energy, changes in appetite or weight, feelings of guilt or worthlessness, problems concentrating, feelings of sluggishness or restlessness, and suicidal thoughts. Respondents evaluate the items based on their frequency in the past 2 weeks on a four-point scale (0 - “none of the time” to 3 “almost every day”; Kroenke et al., 2001). The PHQ-9 was adapted for Brazil by Santos et al. (2013). In our sample, the PHQ-9 presented adequate reliability (ω = 0.85).
Procedure
Before data collection, we obtained permission to use and validate the ITQ and PTCI-9 from the respective original authors. We performed a confirmatory factor analysis (CFA) to evaluate the plausibility of correlated factors for the Brazilian versions of the ITQ and PTCI-9 instruments. We implemented the robust diagonal weighted least squares (RDWLS) estimation method, which is suitable for categorical data (Li, 2016). The following adjustment indices were used: χ2; χ2/df; comparative fit index (CFI), Tucker‒Lewis index (TLI), standardized root mean residual (SRMR), and root mean square error of approximation (RMSEA). A good fit is indicated by the following parameters: nonsignificant χ2 values; the χ2/df ratio must be < 5 or, preferably, < 3; CFI and TLI values must be > 0.90 and preferably > 0.95; RMSEA values should be < 0.08 or, preferably < 0.06, with a confidence interval (upper limit) < 0.10 (Hu & Bentler, 1999). We assessed the reliability of the ITQ and PTCI-9 using McDonald’s Ômega (ω). We considered a ω > 0.70 to indicate adequate reliability (Beland et al., 2017).
We carried out multigroup CFAs (AFCMG) to investigate the invariance of the ITQ and PTCI-9 for the following variables: gender, age group, ethnicity, per capita income, location (Brazilian region), and trauma type. We implemented the RDWLS estimation method (Li, 2016). The AFCMG evaluates the measurement invariance in three models: configural, metric, and scalar. Measurement invariance involves an iterative process in which additional constraints are imposed on the model to determine whether model parameters are equivalent across groups (Vandenberg & Lance, 2000). Configural invariance tests the equivalence of factor structures. Metric invariance tests the equivalence of factor loadings (i.e., do indicators relate to the latent construct similarly?) across groups. Scalar invariance tests the equivalence of item intercepts (i.e., do mean differences on the latent factor reflect mean differences on the items?). A lack of scalar invariance suggests that the items may function differently across groups and that these differences are unrelated to latent factor differences. We assessed measurement invariance using the CFI difference test (ΔCFI). When setting a parameter, if a significant reduction in CFI indices is found (ΔCFI > 0.01), measurement invariance cannot be accepted (Cheung & Rensvold, 2002).
The relationships between the ITQ and PTCI-9 dimensions with each other and with depression were tested using Pearson correlations, with Bonferroni correction for multiple comparisons. We performed Student’s t test for independent samples to investigate the extent to which posttraumatic cognition, PTSD, and CPTSD levels differed between men and women. One-way analysis of variance (ANOVA) was carried out to evaluate whether there were differences in the levels of CPTSD among the different trauma types. The assumption of homogeneity of variance was assessed using Levene’s test (Field, 2013). We performed all analyses in R (RStudio Team, 2020).
Ethical considerations
The present study is part of a larger project approved by the Research Ethics Committee of the Center for Philosophy and Human Sciences at the Federal University of Rio de Janeiro (CAAE nº 49455821.1.0000.5582). The data and documents from this study were stored for at least 5 years. This research was performed in accordance with the guidelines and standards of resolutions 466/2012 and 510/2016 of the National Health Council (2012, 2016). All participants signed a free and informed consent form with detailed information on the technical and ethical aspects of the research.
Results
The three-factor correlated model for the PTCI-9 presented excellent fit indices, except for the RMSEA, with χ2(24) = 769.603 (p < 0.0001), CFI = 0.954, TLI = 0.931, RMSEA = 0.121 (CI = 0.114-0.129), and SRMR = 0.068. An inspection of the highest modification indices (MI) indicated a residual correlation between items 1 and 7 (MI = 25.743), relating to self-responsibility, and between item 3 and cognitions about the world (MI = 23,648). A possible explanation lies in the semantics of item 3 (“Another person would have prevented the event from occurring”), which is similar to other Cognitions About the World, which also include the term “person/people”. The three dimensions of the PTCI-9 presented ω greater than 0.70 (cognitions about the self = 0.8, about the world = 0.81, about self-responsibility = 0.75). For the ITQ, the model of six correlated factors presented adequate adjustment to the data, with χ2(39) = 473.741 (p < 0.0001), CFI = 0.986, TLI = 0.978, RMSEA = 0.073 (CI = 0.067-0.078), and SRMR = 0.031. Table 3 presents the tested models and their respective factor loadings. Regarding internal consistency, except for AD, all ω CR indices were above the suggested cutoff point of 0.70, with RE = 0.79, AV = 0.80, HV = 0.85, AD = 0.62, NSC = 0.92, and DR = 0.86.
For AFCMG analysis, only men and women were considered (for gender), and only white, brown, and Black individuals were considered (for race). Patients of other sexes and races were not included due to the small sample size. Both instruments demonstrated scalar invariance for all sociodemographic variables investigated (gender, age, race, region, and income), and the ITQ also showed scalar invariance for trauma type. PTCI-9, however, presented only metric invariance for trauma type. An inspection of MIs revealed that the highest MIs were between item 3 of the PTCI-9 and the latent factor cognitions about the world and cognitions about the self for all groups, with MIs ranging between 10.280 and 59.250. This suggests that victims of those types of trauma possibly understand the items differently, and group comparisons using the Brazilian PTCI-9 for trauma types might not be recommended. The results of the AFCMGs for the PTCI-9 and ITQ are shown in Table 4.
As predicted, all three posttraumatic cognition dimensions were correlated with PTSD, DSO, and depression, with stronger correlations with DSO domains. Cognitions about self-blame had a more significant effect size for DR (r = 0.61, p < 0.001), cognitions about self had a more significant effect size for NSC (r = 0.68, p < 0.001), and cognitions about the world had a more significant effect size for DR (r = 0.49, p < 0.001). Table 5 displays the correlation matrix for all variables.
Women showed higher values of RE (t(2080) = 5.82; p < 0.001; d = 0.28), AV (t(2080) = 5.88; p < 0.001; d = 0.28), HV (t(2080) = 6.062; p < 0.001; d = 0.29), AD (t(2080) = 3.69; p < 0.001; d = 0.16) and NSC (t(2080) = 2.06; p < 0.039; d = 0.10). Regarding posttraumatic cognitions, women also showed higher levels of cognitions about the world (t(2080) = 3.51; p < 0.001; d = 0.17), and men showed a higher level of cognitions about self-blame (t(2080) = -2.80; p < 0.01; d = -0.13). DR (t(2080) = 1.77; p > 0.05) and cognition about the self did not significantly differ by gender (t(2080) = 1.23; p > 0.05). For the relationship between trauma type and DSO domains, Levene’s tests indicated homogeneity of variance for AD (F(2100) = 1.42, p > 0.05), for NSC (F(2100) = 0.88, p > 0.05) and for DR (F(2100) = 0.96, p > 0.05). ANOVA revealed significant differences between trauma types for AD (F(2100) = 5.16; p < 0.001; N2 = 0.024). Post hoc tests indicated small but significant differences in abuse/harassment with academic-related stresses (t(2100) = 3.55; p < 0.05; d = 0.36), diseases/hospitalization (t(2100) = 3.53; p < 0.05; d = 0.36), death and grief (t(2100) = 4.89; p < 0.001; d = 0.44), family conflicts (t(2100) = 3.78; p < 0.05; d = 0.38), relationship-related conflicts (t(2100) = 4.08; p < 0.05; d = 0.40), routine-related conflicts (t(2100) = 4.65; p < 0.001; d = 0.47), and work and finances-related conflicts (t(2100) = 4.80; p < 0.001; d = 0.50). For NSC (F(2100) = 4.19; p < 0.001; N2 = 0.02), small differences were found between abuse/harassment and death and grief (t(2100) = 3.80; p < 0.05; d = 0.34) and routine-related (t(2100) = 4.52; p < 0.001; d = 0.45) and between routine-related and domestic violence as victims or testimony/negligence (t(2100) = -2.23; p < 0.01; d = -0.37). For DR (F(2100) = 5.11; p < 0.001; N2 = 0.024), there were moderate differences between abuse/harassment and academic-related stress (t(2100) = 3.80; p < 0.05; d = 0.39), death and grief (t(2100) = 3.68; p < 0.05; d = 0.33), family conflicts (t(2100) = 3.71; p < 0.001; d = 0.37), routine-related stress (t(2100) = 4.63; p < 0.001; d = 0.46) and work and finance-related stress (t(2100) = 4.22; p < 0.001; d = 0.44). There were also differences between humiliating experiences and routine-related stress (t(2100) = 3.46; p < 0.05; d = 0.35) and between domestic violence as a victim or testimony/negligence and routine-related stress (t(2100) = 3.65; p < 0.05; d = 0.36). All post hoc analyses for the trauma type results are displayed in the Supplementary Material.
Discussion
The main objectives of the study were to investigate the psychometric properties of the Brazilian versions of two measures of trauma-related dimensions in psychopathology, namely, the PTCI-9 and the ITQ. Both measures are relevant for assessing CPTSD symptoms, as they are the only measures available in Brazilian Portuguese. The present study advances the current knowledge by investigating internal structure validity and relationships with external variables, reliability, and measurement invariance for sociodemographic variables (gender, age groups, race, education level, and Brazilian region) and trauma types in a Brazilian sample. The favorable psychometric properties and validity evidence presented here suggest the use of the PTCI-9 and ITQ in Brazil.
Regarding hypothesis 1, the original ITQ model was confirmed (Cloitre et al., 2018). The six correlated factors model showed excellent adjustment to the data. Therefore, the validity of the internal structure of the Brazilian ITQ is corroborated. Replications in different cultures are warranted because they may expand the evidence for reasonable adjustment (Redican et al., 2021). All factors except for AD showed adequate reliability indices. The lower reliability of the AD factor (ω = 0.62) probably indicates limitations to its unidimensionality. Affective dysregulation, or emotion dysregulation, is a multidimensional construct that comprises different maladaptive strategies for regulating emotions (Sloan et al., 2017). Further development of the ITQ should address this issue by developing a multidimensional affective dysregulation factor, with items regarding different failed strategies for regulating one’s emotions.
For hypothesis 2, the three correlated factors PTCI-9 showed adequate adjustment for all indices (except for RMSEA). Other studies also corroborated this model, proving that it is superior to the original version of the PTCI (Wells et al., 2019). Our results add to the validity evidence internationally, based on a different cultural reality. However, in contrast to hypothesis 2, our study indicated a high RMSEA value for the instrument, above the cutoff point of 0.080 (Hu & Bentler, 1999). This result contradicts the findings of studies in which the scale was originally written. In samples with diverse trauma types (Whitemann et al., 2022) and from veteran men and civilian women (Serier et al., 2023), the RMSEA values ranged between 0.050 and 0.062. In addition to the Brazilian version, the Persian PTCI-9 showed a slightly greater RMSEA (0.085) for the general population (Barzgar et al., 2023). The high RMSEA for the PTCI-9 may reflect a semantic redundancy of item 3 (“another person would have prevented the event from happening”), and the cognitions about the world factor. The factor cognitions about the world also includes items related to the word person/people. As versions in the original language did not show high RMSEAs, this is likely a translation issue. Item 3, in the original language, does not include the word “people” (“Somebody else would not have gotten into this situation”). A possible solution to this problem is the reformulation of the translated item.
Regarding hypothesis 3, the scalar invariance for sex, age, race, Brazilian region, and instruction level was corroborated for the PTCI-9 and ITQ. The ITQ also showed full invariance for trauma type. Our study thus expands on previous findings that investigated invariance only between clinical and nonclinical samples (Nielsen et al., 2023; Rácz et al., 2023). The PTCI-9 showed only metric invariance for trauma type, not corroborating hypothesis 3. Investigating the highest MIs in the scalar model revealed that item 3 presented unexpected correlations with the other two factors. The same item also showed a high MI for the configural model. We hypothesize that after the reformulation of item 3, adequate RMSEA and invariance for trauma type will be attained. Another possible explanation lies in the potential differential impact of posttraumatic cognitions on different traumatic events. Cognitions about the self, the world, and self-blame are particularly pervasive for complex traumas involving interpersonal aggression and internalization of shame and guilt, such as sexual abuse, exposure to humiliating situations, and domestic violence (Herman, 2015). Another potential cause of not achieving full invariance for trauma type is the small sample size for each trauma group, which is less than 200 for most groups (Kyriazos, 2018).
Our study also identified more substantial effect sizes for the relationship between posttraumatic cognitions and DSO than for the relationship between posttraumatic cognitions and PTSD, corroborating hypothesis 4. Regarding Hypotheses 5 and 6, all variables showed differences for gender, with higher levels for women, except for DR and cognitions about the self. Men had higher levels of cognitions about self-blame, contrary to findings in a national U.S. sample (Cox et al., 2014). Congruent with hypothesis 7, situations of abuse, a trauma that involves interpersonal violence and can be understood as complex, showed higher levels for all DSO domains than single-impact traumas (such as hospitalization and work and finances). Abuse is the major predictor of PTSD in women (Pico-Alfonso, 2005) and is a traumatic event associated with CPTSD symptoms (Zlotnick et al., 1996). Humiliating experiences also presented a greater level of DR than did routine-related events. It is hypothesized that humiliation affects victims’ beliefs and trust in the world (Leask, 2013).
One limitation of the present study is the sampling method. Our sample is heterogeneous and was obtained via an online survey, with most participants having a higher education level, a numerical minority in the Brazilian context, and less than 30% of the population having completed or incomplete education. In that sense, it is necessary to investigate evidence of the validity of instruments in specific samples to obtain indicators of measurement invariance for educational level. Furthermore, it is necessary to investigate the concurrent validity of the Brazilian ITQ with other PTSD measures and its predictive validity in clinical samples for both instruments in Brazilian samples. We recommend reforming the translated version of item 3 of the PTCI-9, in which the word “person” is substituted. For ITQ, the AD factor must be expanded to encompass a multidimensional model of emotional regulation. Finally, future studies should investigate both scales’ ability to correctly identify clinical and nonclinical Brazilian samples and clinical changes throughout treatment.
Conclusion
This study presents evidence of the validity, reliability, and measurement invariance of the Brazilian versions of two trauma-related measures, the ITQ and PTCI-9. Beyond classical PTSD indicators (reexperience, avoidance, and hypervigilance), the ITQ addresses DSO, a cluster of symptoms present in CPTSD. The ITQ will enable symptoms of DSO and CPTSD, as conceptualized by the ICD-11, to be measured in Brazilian culture. Thus, this measurement instrument will expand the CPTSD literature in Brazil. The PTCI-9 measures posttraumatic cognitions about the self, the world, and self-blame. Trauma-related cognitions impact the development and maintenance of PTSD and CPTSD. The PTCI-9 can be used effectively in studies on PTSD and CPTSD in Brazilian individuals.
Generalizability is an important characteristic when evaluating any measurement instrument. This study contributes to the knowledge of the factor structure of the ITQ and PTCI-9 in different populations by presenting evidence of measurement invariance for gender, race, age groups, instruction levels, and the five Brazilian regions. The results show the importance of establishing the fundamental measurement properties before inferring the cross-cultural universality of the construct to be measured. In sum, the findings provide evidence to test the external validity and cross-cultural applicability of the conceptualization and operationalization of the PTSD, CPTSD, and posttraumatic cognitions constructs.
Availability of data and materials
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
Abbreviations
- AD:
-
Affective dysregulation
- AFCMG:
-
Multigroup confirmatory factor analysis
- ANOVA:
-
Analysis of variance
- AV:
-
Avoidance
- CFA:
-
Confirmatory factor analysis
- CFI:
-
Comparative fit index
- CI:
-
Confidence interval
- CPTSD:
-
Complex posttraumatic stress disorder
- CR:
-
Composite reliability
- d:
-
Cohen’s d
- df:
-
Degrees of freedom
- DR:
-
Disturbance in relationships
- HV:
-
Hypervigilance
- ITQ:
-
International trauma questionnaire
- NSC:
-
Negative self-concept
- PTCI-9:
-
Posttraumatic cognitions inventory-9
- PTSD:
-
Posttraumatic stress disorder
- r:
-
Correlation coefficient
- RE:
-
Reexperience
- RMSEA:
-
Root mean square error of approximation
- sb:
-
Cognitions About Self-Blame
- self:
-
Cognitions About the Self
- SRMR:
-
Root mean square residual and standardized root mean square residual
- TLI:
-
Tucker Lewis Index
- world:
-
Cognitions About the World
- X2:
-
Chi-squared test
- η2:
-
Eta-Squared
References
Barzgar, N., Poursharifi, H., Momeni, F., & Hosseinzadeh, S. (2023). Psychometric Properties of the Posttraumatic Cognitions Inventory-9 items in an Iranian sample. Trends in Psychiatry and Psychotherapy. Advance online publication. https://doi.org/10.47626/2237-6089-2022-0534
Beck, J. G., Coffey, S. F., Palyo, S. A., Gudmundsdottir, B., Miller, L. M., & Colder, C. R. (2004). Psychometric properties of the Posttraumatic Cognitions Inventory (PTCI): A replication with motor vehicle accident survivors. Psychological Assessment, 16(3), 289–298. https://doi.org/10.1037/1040-3590.16.3.289
Beland, S., Cousineau, D., & Loye, N. (2017). Using the Mcdonald’s omega coefficient instead of Cronbach’s alpha. Mcgill Journal of Education, 52(3), 791–804. Retrieved from <Go to ISI>://WOS:000437472500013.
Brown, L. A., Belli, G. M., Asnaani, A., & Foa, E. B. (2019). A review of the role of negative cognitions about oneself, others, and the world in the treatment of PTSD. Cognitive Therapy and Research, 43(1), 143–173. https://doi.org/10.1007/s10608-018-9938-1
Camden, A. A., Petri, J. M., Jackson, B. N., Jeffirs, S. M., & Weathers, F. W. (2023). A psychometric evaluation of the International Trauma Questionnaire (ITQ) in a trauma-exposed college sample. European Journal of Trauma & Dissociation, 7(1), 100305. https://doi.org/10.1016/j.ejtd.2022.100305
Campos, J. O. C., & Trentini, C. M. (2019). Análise fatorial confirmatória da versão brasileira do Inventário de Crescimento Pós-Traumático [Confirmatory factor analysis of the Brazilian version of the posttraumatic growth inventory]. Avaliação Psicológica. São Paulo, 18(1), 50–57. https://doi.org/10.15689/ap.2019.1801.14667.06
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5
Cloitre, M., Garvert, D. W., Weiss, B., Carlson, E. B., & Bryant, R. A. (2014). Distinguishing PTSD, complex PTSD, and borderline personality disorder: A latent class analysis. European Journal of Psychotraumatology, 5(1), 25097. https://doi.org/10.3402/ejpt.v5.25097
Cloitre, M., Shevlin, M., Brewin, C. R., Bisson, J. I., Roberts, N. P., Maercker, A., … & Hyland, P. (2018). The International Trauma Questionnaire: Development of a self-report measure of ICD-11 PTSD and complex PTSD. Acta Psychiatrica Scandinavica, 138(6), 536–546. https://doi.org/10.1037/t73478-000
Cloitre, M., Hyland, P., Bisson, J. I., Brewin, C. R., Roberts, N. P., Karatzias, T., & Shevlin, M. (2019). ICD-11 posttraumatic stress disorder and complex posttraumatic stress disorder in the United States: A population-based study. Journal of Traumatic Stress, 32(6), 833–842. https://doi.org/10.1002/jts.22454
Cox, K. S., Resnick, H. S., & Kilpatrick, D. G. (2014). Prevalence and correlates of posttrauma distorted beliefs: Evaluating DSM-5 PTSD expanded cognitive symptoms in a national sample. Journal of Traumatic Stress, 27(3), 299–306. https://doi.org/10.1002/jts.21925
Cyr, G., Belanger, C., & Godbout, N. (2022). French translation and validation of the International Trauma Questionnaire in a Canadian community sample. Child Abuse & Neglect, 128, 105627. https://doi.org/10.1016/j.chiabu.2022.105627
Donat, J. C., Lobo, N. D. S., Jacobsen, G. D. S., Guimarães, E. R., Kristensen, C. H., Berger, W., … & Nascimento, E. (2019). Translation and cross-cultural adaptation of the International Trauma Questionnaire for use in Brazilian Portuguese. Sao Paulo Medical Journal, 137(3), 270–277. https://doi.org/10.1590/1516-3180.2019.0066070519
Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage.
Foa, E. B., Ehlers, A., Clark, D. M., Tolin, D. F., & Orsillo, S. M. (1999). The posttraumatic cognitions inventory (PTCI): Development and validation. Psychological Assessment, 11(3), 303. https://doi.org/10.1037/1040-3590.11.3.303
Fresno, A., Ramos Alvarado, N., Núñez, D., Ulloa, J. L., Arriagada, J., Cloitre, M., … & Karatzias, T. (2023). Initial validation of the International Trauma Questionnaire (ITQ) in a sample of Chilean adults. European Journal of Psychotraumatology, 14(2), 2263313. https://doi.org/10.1080/20008066.2023.2263313
Gómez de La Cuesta, G., Schweizer, S., Diehle, J., Young, J., & Meiser-Stedman, R. (2019). The relationship between maladaptive appraisals and posttraumatic stress disorder: A meta-analysis. European Journal of Psychotraumatology, 10(1), 1620084. https://doi.org/10.1080/20008198.2019.1620084
Herman, J. L. (2015). Trauma and recovery: The aftermath of violence–from domestic abuse to political terror (2nd ed.). Hachette.
Ho, G. W., Hyland, P., Shevlin, M., Chien, W. T., Inoue, S., Yang, P. J., & Karatzias, T. (2020). The validity of ICD-11 PTSD and complex PTSD in East Asian cultures: Findings with young adults from China, Hong Kong, Japan, and Taiwan. European Journal of Psychotraumatology, 11(1), 1717826. https://doi.org/10.1080/20008198.2020.1717826
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hyland, P., Murphy, J., Shevlin, M., Murphy, S., Egan, A., & Boduszek, D. (2015). Psychometric properties of the posttraumatic cognition inventory within a Northern Ireland adolescent sample. British Journal of Clinical Psychology, 54(4), 435–449. https://doi.org/10.1111/bjc.12089
Karatzias, T., Cloitre, M., Maercker, A., Kazlauskas, E., Shevlin, M., Hyland, P., … & Brewin, C. R. (2017). PTSD and Complex PTSD: ICD-11 updates on concept and measurement in the UK, USA, Germany, and Lithuania. European Journal of Psychotraumatology, 8(7), 1418103. https://doi.org/10.1080/20008198.2017.1418103
Kline, R. B. (2023). Principles and practice of structural modeling (5th ed.). The Guilford.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Kyriazos, T. A. (2018). Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 9(08), 2207. https://doi.org/10.4236/psych.2018.98126
Leask, P. (2013). Losing trust in the world: Humiliation and its consequences. Psychodynamic Practice, 19(2), 129–142. https://doi.org/10.1080/14753634.2013.778485
Lebel, S., Dewar, M., & Brillon, P. (2022). Translation, validation, and exploration of the factor structure in the French version of the Posttraumatic Cognitions Inventory (PTCI). The Canadian Journal of Psychiatry, 67(8), 648–658. https://doi.org/10.1177/07067437221087085
Lehavot, K., Katon, J. G., Chen, J. A., Fortney, J. C., & Simpson, T. L. (2018). Post-traumatic stress disorder by gender and veteran status. American Journal of Preventive Medicine, 54(1), e1–e9. https://doi.org/10.1016/j.amepre.2017.09.008
Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavioral Research Methods, 48(3), 936–949. https://doi.org/10.3758/s13428-015-0619-7
Müller, J., Wessa, M., Rabe, S., Dörfel, D., Knaevelsrud, C., Flor, H., Maercker, A., & Karl, A. (2010). Psychometric properties of the Posttraumatic Cognitions Inventory (PTCI) in a German sample of individuals with a history of trauma. Psychological Trauma: Theory, Research, Practice, and Policy, 2(2), 116–125. https://doi.org/10.1037/a0018603
Nielsen, T., Elklit, A., Vang, M. L., Nielsen, S. B., Auning-Hansen, M., & Palic, S. (2023). Cross-cultural validity and psychometric properties of the International Trauma Questionnaire in a clinical refugee sample. European Journal of Psychotraumatology, 14(1), 2172256. https://doi.org/10.1080/20008066.2023.2172256
Owczarek, M., Ben-Ezra, M., Karatzias, T., Hyland, P., Vallieres, F., & Shevlin, M. (2020). Testing the factor structure of the international trauma questionnaire (ITQ) in African community samples from Kenya, Ghana, and Nigeria. Journal of Loss and Trauma, 25(4), 348–363. https://doi.org/10.1080/15325024.2019.1689718
Peraud, W., Hebrard, L., Lavandier, A., Brockbanck-Chasey, S., Brennstuhl, M. J., & Quintard, B. (2022). French cross-cultural adaptation and validation of the International Trauma Questionnaire (ITQ) in a French community sample. European Journal of Psychotraumatology, 13(2), 2152109. https://doi.org/10.1080/20008066.2022.2152109
Pico-Alfonso, M. A. (2005). Psychological intimate partner violence: The major predictor of posttraumatic stress disorder in abused women. Neuroscience & Biobehavioral Reviews, 29(1), 181–193. https://doi.org/10.1016/j.neubiorev.2004.08.010
Rácz, A., Horváth, Z., Vizin, G., Berán, E., & Unoka, Z. S. (2023). Measuring posttraumatic stress disorder and complex posttraumatic stress disorder using the International Trauma Questionnaire: Results from a Hungarian clinical and non-clinical sample. European Journal of Psychotraumatology, 14(1), 215–929. https://doi.org/10.1080/20008066.2022.2152929
Redican, E., Nolan, E., Hyland, P., Cloitre, M., McBride, O., Karatzias, T., … & Shevlin, M. (2021). A systematic literature review of factor analytic and mixture models of ICD-11 PTSD and CPTSD using the International Trauma Questionnaire. Journal of Anxiety Disorders, 79, 102381. https://doi.org/10.1016/j.janxdis.2021.102381
RStudio Team. (2020). RStudio: Integrated development for R. RStudio, PBC. http://www.rstudio.com/.
Santos, I. S., Tavares, B. F., Munhoz, T. N., Almeida, L. S. P. D., Silva, N. T. B. D., Tams, B. D., … & Matijasevich, A. (2013). Sensitivity and specificity of the Patient Health Questionnaire-9 (PHQ-9) among adults from the general population. Cadernos de Saude Publica, 29(8), 1533–1543. https://doi.org/10.1590/0102-311X00144612
Sbardelloto, G., Schaefer, L. S., Justo, A. R., Lobo, B. D. O. M., & Kristensen, C. H. (2013). Adaptação e validação de conteúdo da versão brasileira do Posttraumatic Cognitions Inventory [Adaptation and content validation of the Brazilian version of the Posttraumatic Cognitions Inventory]. Revista de Saúde Pública, 47(2), 326–334. https://doi.org/10.1590/S0034-8910.2013047003474
Schein, J., Houle, C., Urganus, A., Cloutier, M., Patterson-Lomba, O., Wang, Y., … & Davis, L. L. (2021). Prevalence of posttraumatic stress disorder in the United States: A systematic literature review. Current Medical Research and Opinion, 37(12), 2151–2161. https://doi.org/10.1080/03007995.2021.1978417
Sele, P., Hoffart, A., Bækkelund, H., & Øktedalen, T. (2020). Psychometric properties of the International Trauma Questionnaire (ITQ) examined in a Norwegian trauma-exposed clinical sample. European Journal of Psychotraumatology, 11(1), 1796187. https://doi.org/10.1080/20008198.2020.1796187
Serier, K. N., Zelkowitz, R. L., Smith, B. N., Vogt, D., & Mitchell, K. S. (2023). The Posttraumatic Cognitions Inventory (PTCI): Psychometric evaluation in veteran men and women with trauma exposure. Psychological Assessment, 35(2), 140–151. https://doi.org/10.1037/pas0001190
Sexton, M. B., Davis, M. T., Bennett, D. C., Morris, D. H., & Rauch, S. A. M. (2018). A psychometric evaluation of the posttraumatic cognitions inventory with veterans seeking treatment following military trauma exposure. Journal of Affective Disorders, 226, 232–238. https://doi.org/10.1016/j.jad.2017.09.048
Sloan, E., Hall, K., Moulding, R., Bryce, S., Mildred, H., & Staiger, P. K. (2017). Emotion regulation as a transdiagnostic treatment construct across anxiety, depression, substance, eating, and borderline personality disorders: A systematic review. Clinical Psychology Review, 57, 141–163. https://doi.org/10.1016/j.cpr.2017.09.002
Street, A. E., & Dardis, C. M. (2018). Using a social construction of gender lens to understand gender differences in posttraumatic stress disorder. Clinical Psychology Review, 66, 97–105. https://doi.org/10.1016/j.cpr.2018.03.001
Tolin, D. F., & Foa, E. B. (2002). Gender and PTSD: A cognitive model. In R. Kimerling, P. Ouimette, & J. Wolfe (Eds.), Gender and PTSD (1h ed., pp. 76–97). The Guilford Press.
Vallières, F., Ceannt, R., Daccache, F., AbouDaher, R., Sleiman, J., Gilmore, B., … & Hyland, P. (2018). ICD-11 PTSD and complex PTSD amongst Syrian refugees in Lebanon: The factor structure and the clinical utility of the International Trauma Questionnaire. Acta Psychiatrica Scandinavica, 138(6), 547–557. https://doi.org/10.1111/acps.12973
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177/109442810031002
Wells, S. Y., Morland, L. A., Torres, E. M., Kloezeman, K., Mackintosh, M. A., & Aarons, G. A. (2019). The development of a brief version of the Posttraumatic Cognitions Inventory (PTCI-9). Assessment, 26(2), 193–208. https://doi.org/10.1177/1073191116685401
Whitemann, S. E., Kramer, L. B., Silverstein, M. W., Witte, T. K., & Weathers, F. W. (2022). Evaluating the factor structure of the Posttraumatic Cognitions Inventory. Assessment, 29(2), 128–135. https://doi.org/10.1177/1073191120954915
World Health Organization. (2018). ICD-11: International classification of diseases (11th revision). Retrieved from https://icd.who.int
Zhan, N., Gao, C., Cao, Y., Li, F., & Geng, F. (2024). Factor structure, measurement invariance, and psychometric properties of the Posttraumatic Cognitions Inventory (PTCI) and its brief version (PTCI-9) in Chinese adolescents and adults. Psychological Assessment. Advance online publication. https://doi.org/10.1037/pas0001309
Zlotnick, C., Zakriski, A. L., Shea, M. T., et al. (1996). The long-term sequelae of sexual abuse: Support for a complex posttraumatic stress disorder. Journal of Traumatic Stress, 9(2), 195–205. https://doi.org/10.1007/BF02110655
Acknowledgements
Not applicable.
Funding
CAPES (master’s scholarship; PROEX financing); CNPq (research productivity grant)
Author information
Authors and Affiliations
Contributions
Contributed to conception and design: IA, GG and PP. Contributed to the acquisition, analysis and interpretation of data, and draft of the manuscript: IA. Revised the article and approved the submitted version for publication: GG. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare that there are no conflicts of interest that would prevent the publication of this article.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Aprigio, I., dos Santos, P.P.P. & Gauer, G. International Trauma Questionnaire and Posttraumatic Cognitions Inventory-9: validity evidence and measurement invariance of their Brazilian versions. Psicol. Refl. Crít. 37, 18 (2024). https://doi.org/10.1186/s41155-024-00297-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s41155-024-00297-z