Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-10T06:34:36.217Z Has data issue: false hasContentIssue false

Validation of a French version of the Vancouver Obsessional Compulsive Inventory–Mental Contamination scale (VOCI-MC) and the Contamination Thought–Action Fusion scale (CTAF) in non-clinical and clinical samples

Published online by Cambridge University Press:  27 April 2023

Cindy Lebrun*
Affiliation:
Université Paul Valéry Montpellier 3, Epsylon EA 4556, F34000, Montpellier, France Clinique Rhône Durance, groupe Elsan, 84000 Avignon, France
Alexandre De Connor
Affiliation:
Université Paul Valéry Montpellier 3, Epsylon EA 4556, F34000, Montpellier, France University Department of Adult Psychiatry, CHU Montpellier, University Montpellier 1, Hôpital la Colombière, France
Charline Dellouve
Affiliation:
University Department of Adult Psychiatry, CHU Montpellier, University Montpellier 1, Hôpital la Colombière, France
Caroline Novara
Affiliation:
Clinique RECH, groupe Ramsay Gds, 34000 Montpellier, France
Valentin Adloff
Affiliation:
Université Paul Valéry Montpellier 3, Epsylon EA 4556, F34000, Montpellier, France
Delphine Capdevielle
Affiliation:
University Department of Adult Psychiatry, CHU Montpellier, University Montpellier 1, Hôpital la Colombière, France
Catherine Bortolon
Affiliation:
Laboratoire Inter-universitaire de Psychologie: Personnalité, Cognition et Changement Social – Université Grenoble Alpes, Grenoble, France C3R – Réhabilitation psychosociale et remédiation cognitive, Centre Hospitalier Alpes Isère, Grenoble, France
Stéphane Raffard
Affiliation:
Université Paul Valéry Montpellier 3, Epsylon EA 4556, F34000, Montpellier, France University Department of Adult Psychiatry, CHU Montpellier, University Montpellier 1, Hôpital la Colombière, France
*
Corresponding author. Cindy Lebrun; Email: cindylebrun@yahoo.com
Rights & Permissions [Opens in a new window]

Abstract

The Vancouver Obsessional Compulsive Inventory–Mental Contamination scale (VOCI-MC) and the Contamination Thought–Action Fusion scale (CTAF) are two self-report instruments that assess symptoms of mental contamination and fusion between thoughts, and feelings and behaviours associated with contamination, respectively. The aim of this study was to investigate the psychometric properties of the French version of these two scales in non-clinical and clinical samples. We included 79 participants diagnosed with obsessive-compulsive disorder (OCD), 31 diagnosed with anxiety disorders, who were recruited from the University Department of Adult Psychiatry in Montpellier, and 320 non-clinical participants recruited from the general population. Psychometric properties of the French VOCI-MC and CTAF were investigated. Results showed that the French versions of the VOCI-MC and the CTAF had high internal consistency, good convergent and divergent validity, as well as good temporal stability. Exploratory and confirmatory factor analyses showed a one-factor structure for the two scales in both non-clinical and OCD samples. Adequate discriminative validity was established by comparing OCD patients with contamination-related symptoms and OCD patients who did not report contamination-related symptoms. The French VOCI-MC and CTAF are valid and appropriate tools for measuring mental contamination in both clinical and research contexts.

Type
Main
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of British Association for Behavioural and Cognitive Psychotherapies

Introduction

Obsessive-compulsive disorder (OCD) is a severe mental disorder associated with important functional and quality of life impairments (Markarian et al., Reference Markarian, Larson, Aldea, Baldwin, Good, Berkeljon, Murphy, Storch and McKay2010). The World Health Organization classifies anxiety disorders, including OCD, as the sixth largest and global contributor to non-fatal health loss (GBD 2019 Diseases and Injuries Collaborators, 2020). Although OCD can emerge at any age, epidemiological studies describe that in 65% of cases, the disorders appear before age 25 (Anholt et al., Reference Anholt, Aderka, van Balkom, Smit, Schruers, van der Wee, Eikelenboom, De Luca and van Oppen2014). Compared with anxiety and unipolar mood disorders, individuals with OCD are less likely to be married, more likely to be unemployed, and report impaired social and occupational functioning. This disorder affects between 2 and 3% of the population throughout a lifetime (Kessler et al., Reference Kessler, Berglund, Demler, Jin, Merikangas and Walters2005), with no gender difference except for children, where boys are over-represented (Geller, Reference Geller2006). Untreated OCD tends to become chronic, causing significant functional impairment and reducing quality of life (Koran et al., Reference Koran, Thienemann and Davenport1996). It is characterized by intrusive thoughts or images (obsessions) that motivates rigidly ritualized behaviours (compulsions) (American Psychiatric Association, 2013).

In populations meeting the DSM-5 diagnostic criteria for OCD, obsessions typically refer to a limited number of themes including fear of contamination, responsibility for harming (someone or oneself), sex and morality, violence, religion, order and symmetry. However, the specific content of obsessions, is heterogeneous and usually refers to the values, interests, vulnerabilities and uncertainties that an individual considers important in their life (Jacoby and Abramowitz, Reference Jacoby and Abramowitz2016). In order to reduce or control the distress caused by obsessive thoughts and/or to prevent the severe consequences, individuals with OCD will engage in various safety behaviours including avoidance, neutralization and observable and/or mental compulsive rituals. Therefore, obsessions and compulsions are functionally associated (Rachman, Reference Rachman1976).

Contamination issues (the tendency to think and notify about the possible spread of germs) are a common obsession in OCD and have as their corollaries washing and cleaning compulsions (Ruscio et al., Reference Ruscio, Stein, Chiu and Kessler2010). According to Rachman’s contamination model (Rachman, Reference Rachman2004), intrusive thoughts about contamination in OCD (COCD) cause irrational fears that lead to behavioural compulsions of neutralization and excessive avoidance of potentially contaminated substances. In general, the fear of contamination is triggered by the direct or indirect contact with a person or item perceived as dirty or dangerous (i.e. contamination contact) (Rachman, Reference Rachman2004).

However, Rachman also describes contamination as occurring in the absence of contact with an external stimulus by simply observing or thinking about something dirty, immoral, undesirable, or having been soiled by an event (mental contamination). The main differences between these two types of contamination are based on: (1) the nature of the contamination (resulting from physical contact vs in the absence of direct contact), (2) the effectiveness of the washing (useful when the contaminant is physical, ineffective when it is not), (3) the perceived source of the contamination (a known and tangible source for contact contamination vs an intangible and equivocal source for mental contamination), (4) the kind of source (inanimate dirty/polluting substances vs humans for mental contamination), (5) the persons likely to be contaminated (self and others for contact contamination vs only self for mental contamination), and (6) the range of triggers (dirt, germs or polluted substances vs thoughts, memories, etc.) for mental contamination (for a review, see Rachman et al., Reference Rachman, Coughtrey, Shafran and Radomsky2014). Combined, ‘contact’ and ‘mental’ contamination represent the most common manifestation of OCD (Poli et al., Reference Poli, Melli and Radomsky2019). In fact, the prevalence of mental contamination in the absence of contact contamination in OCD was estimated at 10%, whereas 15% of OCD patients reported contact contamination in the absence of mental contamination, and 36% experienced both mental and contact contamination. Thus, mental contamination is a construct that overlaps with, but is also distinct from, contact contamination (Coughtrey et al., Reference Coughtrey, Shafran, Knibbs and Rachman2012).

In order to better assess the construct of mental contamination, Rachman and collaborators developed the Vancouver Obsessional Compulsive Inventory–Mental Contamination scale (VOCI-MC) and the Contamination Thought–Action Fusion scale (CTAF) (Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014). These tools aimed to assess symptoms of mental contamination in research and clinical practice. More specifically, the VOCI-MC collects statement choices based on the theory of mental contamination and patient descriptions of the nature of the perceived ‘contaminants’ as well symptoms observed in clinical practice. Sample items include: ‘Some people look clean but feel dirty’ and ‘Having an unpleasant image or memory can make me feel dirty inside’. In contrast, the CTAF refers to the construct of Thought–Action Fusion, namely the tendency to overvalue the significance and the consequences of intrusive thoughts (Shafran et al., Reference Shafran, Thordarson and Rachman1996). Sample items of the CTAF include: ‘If I get an image of myself being contaminated, it will make me feel contaminated’ and ‘Having a thought that I might pass contamination on to someone else is almost as bad as actually doing it’. Their results indicated that the two scales have adequate psychometric properties, namely excellent internal consistency (i.e. >.93 across the different groups of study participants: OCD participants with and without contamination related concerns, Anxious Control and Student Control groups), and good convergent validity, confirmed by the significant correlations between the scales and the Contamination subscale of the Vancouver Obsessional Compulsive Inventory (VOCI). Evidence of divergent validity was shown by the low associations with depression scores. Finally, the VOCI-MC discriminated between participants with OCD contamination related concerns and all other groups of participants. In contrast, the CTAF appeared only to discriminate between clinical and non-clinical groups.

Furthermore, the VOCI-MC has been validated in the Italian language (Melli et al., Reference Melli, Carraresi, Stopani, Radomsky and Bulli2015). Results confirmed the good psychometric properties of the original English version (i.e. internal consistency, convergent and divergent validity in OCD, and discriminant validity of the VOCI-MC for OCD), as well as its factorial structure (i.e. one-factor solution), and its temporal stability. However, to our knowledge, no systematic psychometric validation of the CTAF scale has been conducted. Furthermore, although validated measures are strongly needed to further improve the understanding, prevention and treatment of mental contamination ‘symptoms’ in OCD, there are currently no validated self-reported measures of mental contamination in French. Finally, in a context where the science of psychology has currently come under criticism because a number of findings cannot be replicated, it appears essential for researchers to translate and validate psychological scales in different cultures. This would enhance the psychometric properties of their measures and the implications of these psychometric properties for their studies (Lilienfeld and Strother, Reference Lilienfeld and Strother2020).

Consequently, the aim of the present study was to provide researchers and clinicians with a French version of the VOCI-MC and the CTAF. For this, we assessed the psychometric properties of the French version of the VOCI-MC and the CTAF in non-clinical and clinical samples. In order to do so, we first translated the two original scales into French and evaluated their factor structure, internal consistency, and test–retest reliability. We also determined the discriminative, convergent and divergent validities of French VOCI-MC and CTAF.

Method

Participants

Four hundred and thirty individuals, including 79 participants diagnosed with OCD, 31 diagnosed with anxiety disorders (anxious control group) and 320 non-clinical participants recruited from the general population (non-clinical control group), completed self-reported questionnaires containing the VOCI-MC and the CTAF as the main measures of interest (the questionnaires will be explained in more detail in the next step of the Method section). Similar to Radomsky et al. (Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014), we included an anxious control group to assess the ability of the VOCI-MC and the CTAF to successfully discriminate between participants with OCD who reported contamination-related concerns and all other groups of participants. All participants provided written informed consent before beginning the study.

Non-clinical participants were community-dwelling adults who were recruited by means of advertisements and personal contacts and through snowballing techniques. All non-clinical participants completed a face-to-face clinical interview conducted by trained licensed psychologists (C.D., C.N., V.A., C.B.) to assess medical, neurological and psychological conditions, and to collect sociodemographic data. Current mood and anxiety disorders were assessed according to Diagnostic and Statistical Manual of Mental Disorders (5th edition; DSM-5) criteria. Assessment of current mood and anxiety disorders included major depressive disorder, dysthymic disorder and social phobia, panic disorder, generalized anxiety disorder, specific phobia, obsessive-compulsive disorder, agoraphobia, and post-traumatic stress disorder. The presence of medical (e.g. cancer) and neurological (e.g. Parkinson’s disease, head injury) diseases were self-reported. No participants had a history of neurological or psychiatric disorders.

OCD participants and anxious controls were recruited from the University Department of Adult Psychiatry (UADP) in Montpellier, over a 2-year period (September 2019 to June 2021). The UADP offers effective evidence-based treatment options for individuals with a diagnosis of OCD and anxiety disorders (i.e. cognitive and behavioural therapy, CBT). All clinical participants were recruited before the beginning of their CBT treatment. Exclusion criteria were as follows: (a) age under 18; (b) not fluent French speakers; (c) known neurological disease; (d) presence of psychosis; (e) current mania; and (f) substance dependence. Participants in the study were treated in accordance with international ethical standards and the study was approved by the hospital’s institutional review board (IRB-MTP_2021_09_202100938).

Clinical participants were diagnosed according to DSM-5 criteria using a standardized face-to-face clinical interview (the Anxiety Disorder Interview Schedule IV, ADIS-IV; Brown and Barlow, Reference Brown and Barlow2014). All participants in the anxious control group met the DSM-5 criteria for at least one anxiety disorder (primary diagnoses were: social phobia, n=11; generalized anxiety disorder, n=8; panic disorder, n=6; agoraphobia, n=1; or specific phobia, n=5). An exclusionary criterion for those in the anxious control group was the presence of sub-clinical levels of OCD. Participants who met the diagnostic criteria for OCD as a primary diagnosis (n=79) were divided into two sub-groups for the purpose of determining the discriminant validity of the scale. Those who reported contamination-related symptoms or concerns as a primary complaint, as determined by the ADIS-IV (n=28), were assigned to the OCD contamination (OCD-C) sub-group. Participants who met the diagnostic criteria for primary OCD, but who did not report contamination-related symptoms or concerns as primary complaint (n=51) were assigned to the OCD non-contamination (OCD-NC) sub-group. Clinical psychologists (A.D.C., C.D., C.N.) with an extensive training in the diagnosis and management of OCD, administered the diagnostic interviews. All interviews underwent consensus supervision (S.R.) to resolve discrepancies. The time required to conduct the clinical interviews was approximately 45 minutes.

Measures

Vancouver Obsessional Compulsive Inventory–Mental Contamination Scale (VOCI-MC)

The VOCI-MC was designed by Rachman (Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014) to assess a variety of symptoms of mental contamination. This self-report questionnaire is composed of 20 items, rated on a 5-point Likert-type scale, ranging from 0 (not at all) to 4 (very much), with higher scores indicating higher levels of mental contamination. The total score of the scale may range from 0 to 80. The English (Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014) and Italian versions of the VOCI-MC (Melli et al., Reference Melli, Carraresi, Stopani, Radomsky and Bulli2015) have good internal consistency (α<.93) in OCD samples.

Contamination Thought–Action Fusion Scale (CTAF)

Building on the construct of Thought–Action Fusion, the CTAF is a self-report questionnaire designed by Radomsky et al. (Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014) to assess the fusion between thoughts about contamination and feelings and behaviours associated with contamination. It is composed of nine items, rated on a 5-point Likert-type scale, ranging from 0 (strongly disagree) to 4 (strongly agree), with higher scores indicating higher levels of fusion of thoughts and actions about contamination. The total score of the scale may range from 0 to 36. The English version of the CTAF (Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014) has good internal consistency (α=.96) in OCD samples.

Vancouver Obsessional Compulsive Inventory (VOCI) (Thordarson et al., Reference Thordarson, Radomsky, Rachman, Shafran, Sawchuk and Ralph Hakstian2004)

The VOCI is a 55-item scale, used to assess a variety of symptoms of OCD, including six subscales assessing various symptom clusters (i.e. Checking; Contamination; Obsessions; Hoarding; ‘Just Right’; and Indecisiveness). Items are rated on a 5-point Likert-type scale, with higher scores indicating higher symptom severity. The VOCI has excellent internal consistency in students (α=.96), community (α=.90), OCD (α=.94), and clinical control populations (α=.98; (Thordarson et al., Reference Thordarson, Radomsky, Rachman, Shafran, Sawchuk and Ralph Hakstian2004)). Convergent and divergent validity of the VOCI were also very high (Radomsky et al., Reference Radomsky, Ouimet, Ashbaugh, Lavoie, Parrish and O’Connor2006; Thordarson et al., Reference Thordarson, Radomsky, Rachman, Shafran, Sawchuk and Ralph Hakstian2004). The French version of the VOCI demonstrated similar and excellent psychometric properties to those exhibited by the original English version of the scale (Radomsky et al., Reference Radomsky, Ouimet, Ashbaugh, Lavoie, Parrish and O’Connor2006).

The Dimensional Obsessive-Compulsive Scale (DOCS) (Abramowitz et al., Reference Abramowitz, Taylor and McKay2009)

The DOCS is composed of 20 items measuring obsessive-compulsive symptom dimensions of OCD: (1) contamination obsessions and washing/cleaning compulsions; (2) obsessions about responsibility for causing harm and checking compulsions; (3) obsessions about order and symmetry and ordering/arranging compulsions; and (4) repugnant obsessional thoughts and mental compulsive rituals or other covert neutralizing strategies. Within each symptom dimension, items are rated on a scale ranging from 0 (‘no symptoms’) to 4 (‘extreme symptoms’) and assess five severity parameters in relation to the past month. The original English version of the DOCS (Abramowitz et al., Reference Abramowitz, Taylor and McKay2009) has good internal consistency (α>.94 in all subscales; α=.90 for the DOCS total score), adequate temporal stability, and good construct validity.

Obsessional Belief Questionnaire 44 (OBQ-44) (Obsessive Compulsive Cognitions Working Group, 2005)

The OBQ-44 is a self-reported 44-item questionnaire used to assess the presence and severity of obsessive beliefs associated with OCD rated on a 7-point Likert scale (from ‘strongly disagree’ to ‘strongly agree’). Three subscales assess the beliefs associated with the over-importance of the need to control one’s thoughts (control of thought), the beliefs about an increased sense of responsibility to prevent danger or perceived threats (responsibility), and the beliefs about the need for perfectionism and intolerance to uncertainty (perfectionism). The original English version of the OBQ-44 has shown excellent internal consistency for the different subscales (α=.89–.93 in the OCD sample). The factor structure was found to be consistent across two OCD samples and a student sample. There is support for the convergent and divergent validity of the OBQ-44 (Obsessive Compulsive Cognitions Working Group, 2005). The psychometric properties of the French version (Julien et al., Reference Julien, Careau, O’Connor, Bouvard, Rhéaume, Langlois, Freeston, Radomsky and Cottraux2008) of the OBQ-44 confirmed the three-factor structure of the scale in OCD, and provided partial support for convergent/divergent validity of the OBQ-44.

Anxiety sensitivity Index Revised (ASI-R) (Reiss et al., Reference Reiss, Peterson, Gursky and McNally1986)

The ASI-R was used to measure individual differences in sensitivity to anxiety. A two-factor structure was observed for the French version of this scale (Sandin et al., Reference Sandin, Chorot and McNally2001): ‘Fear of the consequences related to the physical sensations of Anxiety’ (CP) including 19 items, and ‘Fear of Social and Cognitive Consequences of Anxiety’ (CSC) including 17 items rated on a 5-point Likert scale (from ‘very little’ to ‘very much’). The original version of the ASI-R has adequate reliability, and convergent and divergent validity (Reiss et al., Reference Reiss, Peterson, Gursky and McNally1986). The French version of the ASI-R has a similar underlying structure to the original version, and good internal consistency (α=.91 for the entire questionnaire, α=.88 for the CP subscale and α=.83 for the CSC subscale) (Sandin et al., Reference Sandin, Chorot and McNally2001).

Beck Depression Inventory (BDI-II) (Beck et al., Reference Beck, Steer and Brown1998)

The BDI-II is composed of 21 items that assess the severity of self-reported depression. It is scored by summing each of the 21 items. Each item is rated on a 4-point Likert scale ranging from 0 to 3, and total scores can range from 0 to 63. The psychometric properties of the English version of the BDI are well established (Beck et al., Reference Beck, Steer and Brown1998). The French version of the BDI-II shows excellent internal consistency (Beck et al., Reference Beck, Steer and Brown1998).

Procedure

In order to adapt the VOCI-MC and the CTAF scale in French, a precise translation procedure was carried out. First, we contacted the original authors of the two scales (i.e. Rachman and collaborators, 2014) and obtained their formal authorization to conduct the adaptation of the instruments to French. Second, two expert psychologists independently translated the scale from English to French. The different translations were compared to obtain a first translation of the tool. A bilingual expert then translated the French version of the questionnaire into English. To ensure the conceptual equivalence of the translation, a review of the back translation against the original version was practised. This new back translation was compared with the original version by a panel of experts to verify the equivalence of the two English versions in terms of meaning and conceptual content. Following the suggestions of the experts, a new version in French was proposed. The finalized translations were proofread to correct any remaining spelling, diacritical, grammatical, or other errors and the final version was written.

All participants took part voluntarily in the study and signed written informed consent forms prior to the experiment. All clinical groups and the non-clinical control group completed the same questionnaires, described in the previous section. All clinical groups completed the questionnaires in a paper format, whereas non-clinical participants completed the questionnaires either on a secured online research platform set up by the Epsylon laboratory and paper format. The time required to complete the questionnaires was approximately 30 minutes.

Of the 320 non-clinical participants from the general population, 183 completed the VOCI-MC and the CTAF twice at a 3-week interval, and their data were used to test the temporal stability of scores.

Data analysis

All variables were inspected for normality before analysis. The parametric variables were described by their mean and standard deviations. Demographics and clinical variables for the study participants are presented in Table 1.

Table 1. Demographic and clinical characteristics participants

Values are means (SD). VOCI-MC, Vancouver Obsessional Compulsive Inventory – Mental Contamination scale; CTAF, Contamination Thought–Action Fusion scale; VOCI, Vancouver Obsessional Compulsive Inventory; DOCS, Dimensional Obsessive-Compulsive Scale; OBQ-44, Obsessional Beliefs Questionnaire – 44 Item Version; TAF, Thought–Action Fusion scale; DS, Disgust Sensitivity scale; ASI, Anxiety Sensitivity Index; BAI, Beck Anxiety Inventory; BDI, Beck Depression Inventory-II.

Factor structure

Initially, we investigated the factor structure of the scales on the general population data. For this, we randomly divided the GP sample into two sub-groups, using the SPSS 21.0 ‘Random sample of cases’ function and set the sub-group size at ‘approximately 50%’ to create two equivalent samples. The first sample (n=142) was used to conduct exploratory factor analyses, and the second sample (n=178) for confirmatory factor analyses. Samples were checked for equivalence in terms of age (t 317=–1.41, p=.15), sex proportion (Fisher’s exact test 2-sided, p=.81), and level of education (t 317=0.64, p=.51). We finally performed an additional confirmatory factor analysis (CFA) on the data from the OCD group (see below). We used the Kaiser–Meyer–Olkin (KMO) measure and Bartlett test of sphericity to test the sampling adequacy. We used the screen test (i.e. scree plot) and the parallel analysis with a set at 0.01 to determine the number of factors to retain. Items with loading of at least 0.32 were considered to retain a statistically meaningful factor (Costello and Osborne, Reference Costello and Osborne2005; Tabachnick and Fidell, Reference Tabachnick and Fidell2013).

CFAs were conducted with Lisrel 11 (Long, Reference Long1983) in order to validate the factorial structure of the scales suggested by the exploratory factor analyses. The following indices were computed: χ2 to degrees of freedom (χ2/d.f.), the root mean square error of approximation (RMSEA<.06), the comparative fit index (CFI>.90), normed fit index (NFI>.95), and the non-normed fit index (NNFI>.95). The analyses were conducted on the standardized variables.

Internal consistency and reliability

The normality of the distribution was verified through the distribution kurtosis and skewness for each item of the VOCI-MC and CTAF scales and in each group. Scale consistency and reliability were determined by the item-total correlation and the Omega coefficient (i.e. values below 0.60 indicate a lack of reliability of the tool; McDonald, Reference McDonald2013), as well as the test–retest intraclass correlation coefficient.

Convergent validity and divergent validity

Convergent validity was evaluated with Pearson correlations between the total scores of both the VOCI-MC and CTAF scales and other measures that assess contamination-related symptoms in OCD (i.e. the Contamination subscale of the Vancouver Obsessional Compulsive Inventory, VOCI and the Contamination subscale of the Dimensional Obsessive-Compulsive Scale). Divergent validity was evaluated with Pearson correlations between total scores on the VOCI-MC and CTAF scales and depressive and anxiety symptoms (i.e. the Anxiety Sensitivity Index, ASI; the Beck Depression Inventory-II, BDI-II).

Discriminant validity

A one-way ANOVA was conducted to compare mean scores on the VOCI-MC and CTAF across the four groups (i.e. non-clinical controls, anxious control group, OCD non-contamination, OCD contamination).

Results

Factor structure

Using data from the first sample (n=142), we carried out an exploratory factor analysis using a principal axis factoring (PAF) on the two following scales: the VOCI-MC and the CTAF (to test the construct validity). The KMO measure of sampling adequation for the VOCI-MC and the CTAF were 0.90 and 0.86, respectively, suggesting that the sample size was suitable. The Bartlett test of sphericity was significant for the two scales (p<0.001), indicating adequation of the data for conducting exploratory factor analyses.

Examination of the scree plot and parallel analysis for the VOCI-MC and the CTAF suggested a one-factor solution for both scales. Based on these criteria, a forced one-factor exploratory factor analysis using PAF was performed on the VOCI-MC and the CTAF scales explaining, 33.55% and 59.97%, respectively, of the total variance. The one-factor solution for the VOCI-MC provided salient loadings (item loadings ranging from 0.46 to 0.76). We observed the same pattern for the CTAF scale (item loadings ranging from 0.61 to 0.89).

We then used CFA on the second sample of the general population (n=178) to test the one-factor model for each scale supported by our exploratory factor analyses. Consistent with the exploratory factor analyses results, the one-factor model showed an excellent fit for the VOCI-MC (CFI=0.97, NFI=0.95, NNFI=97, RMSEA=0.05), as well as for the CTAF scale (CFI=0.99, NFI=0.96, NNFI=0.99, RMSEA=0.03).

Finally, we performed an identical CFA for the VOCI-MC and CTAF, on the data from the OCD group (n=79). The fit indices for this model indicated a good fit for both scales, the VOCI-MC: RMSEA=0.06, CFI=.98, NFI=0.97, NNFI=0.99; and the CTAF: RMSEA=0.05, CFI=0.91, NFI=0.99, NNFI=1.

Internal consistency and reliability

Distribution and item analyses for each scale and each group are presented in Table 2. The Omega values for the VOCI-MC were 0.97, 0.92 and 0.90 for the OCD, anxious controls and non-clinical control group, respectively. For the CTAF scale, the Omega values were 0.95, 0.94 and 0.90, respectively. For both the VOCI-MC and the CTAF scales, corrected item-total correlations scores exceeded 0.30 in each group and the mean inter-item correlations were always greater than 0.30 (Table 2). The test–retest intraclass correlation coefficient computed between the VOCI-MC and CTAF total scores were high (respectively, r=0.80 with a 95% confidence interval from 0.73 to 0.85, and 0.82 with a 95% confidence interval from 0.77 to 0.87), suggesting adequate temporal stability for the two scales.

Table 2. Internal consistency and reliability for the VOCI-MC and the CTAF in general population (n=320), obsessive-compulsive disorders (n=79) and anxiety disorders (n=31) groups

Convergent validity and divergent validity

As shown in Table 3, VOCI-MC was significantly more strongly correlated with subscales that assess specifically contamination-related OCD symptoms (VOCI-MC, r ranged from 0.77 to 0.82 in the OCD group; VOCI-MC, r ranged from 0.49 to 0.60 in the Anxious control group; VOCI-MC, r ranged from 0.35 to 0.44 in the non-clinical controls group) than with subscales that assess depression and anxiety symptoms (r ranged from 0.41 to 0.51 in the OAD group; r ranged from 0.25 to 0.43 in the Anxious controls group; r ranged from 0.22 to 0.38 in the non-clinical control group). In general, there were weaker associations between the CTAF and the Contamination Subscales of the VOCI and the DOCS. Except for the OCD group, correlations between the CTAF and the BDI and ASI were overall lower than those with Contamination subscale scores.

Table 3. Interrelationships between the VOCI-MC and CTAF and associations with other clinical measures by group

* Given the number of analyses conducted, α was set to .001 (Bonferroni, 1935).

Discriminant validity

ANOVA performed on the mean scores on the VOCI-MC and the CTAF across the four groups were significant (F=55.41; p<0.001; F=5.47; p=0.002, respectively). Post-hoc comparisons indicated that the OCD Contamination group scored significantly higher on the VOCI-MC than all the other groups of participants (i.e. non-contamination OCD group, Anxious controls, and Non-clinical controls group, all p<0.001), indicating excellent discriminant validity of the scale. Post-hoc comparisons indicated that both OCD groups scored significantly higher on the CTAF than the Anxious controls and Non-clinical controls groups (all p<0.001). There were no differences between the OCD groups (p=0.11). Thus, the CTAF appeared only to discriminate between OCD participants and anxious and non-clinical controls.

Discussion

The aim of the present study was to investigate the psychometric properties of the French versions of the VOCI-MC and the CTAF in non-clinical and clinical samples. To address this aim, we studied a non-clinical sample of adults recruited from the general population and performed a clinical interview for identifying clinical participants, i.e. OCD participants and anxious controls. In addition, and to the best of our knowledge, this is the first article using exploratory and confirmatory factor analysis to investigate the factorial structure of the VOCIMC and the CTAF in French non-clinical and clinical samples.

Our study, including 79 participants diagnosed with OCD, 31 diagnosed with anxiety disorders (anxious controls group) and 320 non-clinical participants (non-clinical control group), showed that the French versions of the VOCI-MC and the CTAF have high internal consistency throughout the groups of participants (i.e. Omega values for the VOCI-MC range from 0.90 to 0.97; Omega values for the CTAF scale range from 0.90 to 0.95), as well as good temporal stability. Additionally, good convergent and divergent validity was demonstrated. In agreement with the original versions of the scales, our exploratory and confirmatory factor analyses showed a one-factor structure for the two scales in both non-clinical and OCD samples.

Specific and strong relationships were found between the total score on the French VOCI-MC and CTAF and contamination-related OCD symptoms assessed with the French Contamination of the VOCI and the DOCS subscales, demonstrating good convergent validity. In contrast, the total scores of the two scales showed lower correlations with measures of depression and anxiety, providing evidence for the discriminant validity of the French VOCIMC and CTAF. These findings are in line with results from the English and Italian versions of the instruments (Melli et al., Reference Melli, Carraresi, Stopani, Radomsky and Bulli2015; Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014).

Exploratory factor analysis in the non-clinical sample demonstrated that the French versions of the VOCI-MC and CTAF were composed of one factor that explained, respectively, 33.55% and 59.97% of the total variance. Confirmatory factor analyses supported this one-factor model for the VOCI-MC and CTAF items in both non-clinical and OCD samples. This pattern is in accordance with the one-factor/structure of the VOCI-MC obtained in the study of Melli et al. (Reference Melli, Carraresi, Stopani, Radomsky and Bulli2015) encompassing a large sample of non-clinical controls (n=320) and a sample of OCD patients (n=120). Concerning the CTAF, this is, however, the first study to examine its factorial structure. These results need to be supported by further studies assessing its internal factorial structure in both non-clinical and clinical samples. Our study showed that the internal consistency and test–retest reliability of the French versions of the VOCI-MC and CTAF over a 3-week period in a non-clinical sub-sample (n=183) were good. These findings are in accordance with the original English versions of both scales, as well as with the Italian version of the VOCI-MC (Melli et al., Reference Melli, Carraresi, Stopani, Radomsky and Bulli2015; Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014).

Finally, similarly to the study of Radomsky and co-workers (Radomsky et al., Reference Radomsky, Rachman, Shafran, Coughtrey and Barber2014), our results have shown that the French version of the VOCI-MC effectively discriminated between OCD patients with contamination-related symptoms and OCD patients who did not report contamination-related symptoms as their primary complaint, although the CTAF appeared only to discriminate between clinical and non-clinical groups. Like the construct of thought–action fusion that occurs also across anxiety disorders (Abramowitz et al., Reference Abramowitz, Whiteside, Lynam and Kalsy2003), our results indicated that it is also the case for thought–action fusion specific to mental contamination.

Although this study has several strengths, such as a large population-based sample and use of face-to-face clinical interviews to diagnose clinical participants, we must acknowledge several limitations of our study. First, no statistical measure of reliability was conducted for diagnostic interviews. Also, we did not calculate sample size and power estimates to use confirmatory factor analyses, particularly in the OCD samples, although our results showed excellent goodness of fit indices. In addition, the number of participants assigned to each group of the study were not balanced. Finally, we did not include another clinical group of OCD with contact-contamination-related symptoms to detect differences between those with contact-contamination concerns and those with mental-contamination concerns. Future studies should assess this aspect of convergent/construct validity of the scales.

This study has a number of clinical implications. Intrusive thoughts associated with mental contamination are normal, but it is the interpretation of these thoughts that is important in determining, for instance, whether or not an individual will engage in compulsive washing behaviour (Rachman, Reference Rachman2010). Therapists and caregivers would therefore benefit from preferring cognitive approaches targeting negative biases and metacognitions, over behavioural therapies, when dealing with mental contamination (Rachman et al., Reference Rachman, Coughtrey, Shafran and Radomsky2014). In addition, by allowing researchers and clinicians to assess symptoms of mental contamination and fusion between thoughts, feelings and behaviours associated with contamination, the VOCI-MC and the CTAF scales constitute valuable instruments for tracing treatment outcomes in the field of cognitive therapy for mental contamination concerns.

In conclusion, the French versions of the VOCI-MC and CTAF demonstrate satisfactory psychometric properties (adequate structure, convergent and discriminant validity, good internal consistency, and temporal stability). The French translation of the two scales adds valuable questionnaires to assess mental contamination in France. In this respect, these are useful instruments in detecting cases of OCD with mental contamination concerns in clinical populations. The French versions of the VOCI-MC and CTAF are the first formally validated specific mental contamination measures and will therefore be a valuable tool for researchers and clinicians in French-speaking settings.

Data availability statement

The data that support the findings of this study are available from the corresponding author, C.L., upon reasonable request.

Acknowledgements

We thank all participants who participated in the study, and the University Department of Psychiatry who supported the research. We also thank Yasmine Laraki for proofreading the manuscript.

Author contributions

Cindy Lebrun: Conceptualization (equal), Data curation (equal), Formal analysis (equal), Methodology (equal), Project administration (equal), Software (equal), Supervision (equal), Validation (equal), Visualization (equal), Writing – original draft (equal), Writing – review & editing (equal); Alexandre De Connor: Data curation (equal), Investigation (equal), Visualization (equal); Charline Dellouve: Data curation (equal), Investigation (equal); Caroline Novara: Data curation (equal), Investigation (equal); Valentin Adloff: Investigation (equal), Methodology (equal), Software (equal); Delphine Capdevielle: Investigation (equal), Project administration (equal); Catherine Bortolon: Supervision (equal), Visualization (equal), Writing – review & editing (equal); Stéphane Raffard: Conceptualization (equal), Investigation (equal), Methodology (equal), Project administration (equal), Resources (equal), Supervision (equal), Writing – review & editing (equal).

S.R. and C.L. designed the study. A.D.C., C.D., C.N., V.A., D.C., C.B. and S.R. were involved in interviewing participants and collecting data for the process evaluation. C.L. led the statistical analyses. C.L. wrote the first draft of the paper. All authors read the manuscript critically and approved the final submission.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Competing interests

The authors declare none.

Ethical standards

This study has been carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) and was approved by the hospital’s institutional review board (IRB-MTP_2021_09_202100938). Written informed consent was obtained from all participants.

References

Abramowitz, J. S., Taylor, S., & McKay, D. (2009). Obsessive-compulsive disorder. The Lancet, 374, 491499. https://doi.org/10.1016/S0140-6736(09)60240-3 CrossRefGoogle ScholarPubMed
Abramowitz, J. S., Whiteside, S., Lynam, D., & Kalsy, S. (2003). Is thought–action fusion specific to obsessive–compulsive disorder? A mediating role of negative affect. Behaviour Research and Therapy, 41, 10691079. https://doi.org/10.1016/S0005-7967(02)00243-7 CrossRefGoogle ScholarPubMed
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edn). American Psychiatric Publishing.Google Scholar
Anholt, G. E., Aderka, I. M., van Balkom, A. J. L. M., Smit, J. H., Schruers, K., van der Wee, N. J. A., Eikelenboom, M., De Luca, V., & van Oppen, P. (2014). Age of onset in obsessive–compulsive disorder: admixture analysis with a large sample. Psychological Medicine, 44, 185194. https://doi.org/10.1017/S0033291713000470 CrossRefGoogle ScholarPubMed
Beck, A. T., Steer, R. A., & Brown, G. K. (1998). Inventaire de Dépression de Beck (2ième edn). Editions du Centre de Psychologie Appliquée.Google Scholar
Brown, T. A., & Barlow, D. H. (2014). Anxiety and Related Disorders Interview Schedule for DSM-5 (ADIS-5), Adult and Lifetime Version: Clinician Manual.Google Scholar
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10, article 7.Google Scholar
Coughtrey, A. E., Shafran, R., Knibbs, D., & Rachman, S. J. (2012). Mental contamination in obsessive-compulsive disorder. Journal of Obsessive-Compulsive and Related Disorders, 1, 244250. https://doi.org/10.1016/j.jocrd.2012.07.006 CrossRefGoogle Scholar
GBD 2019 Diseases and Injuries Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 12041222. doi: 10.1016/S0140-6736(20)30925-9 CrossRefGoogle Scholar
Geller, D. A. (2006). Obsessive-compulsive and spectrum disorders in children and adolescents. Psychiatric Clinics of North America, 29, 353370. https://doi.org/10.1016/j.psc.2006.02.012 CrossRefGoogle ScholarPubMed
Jacoby, R. J., & Abramowitz, J. S. (2016). Inhibitory learning approaches to exposure therapy: a critical review and translation to obsessive-compulsive disorder. Clinical Psychology Review, 49, 2840. https://doi.org/10.1016/j.cpr.2016.07.001 CrossRefGoogle ScholarPubMed
Julien, D., Careau, Y., O’Connor, K. P., Bouvard, M., Rhéaume, J., Langlois, F., Freeston, M. H., Radomsky, A. S., & Cottraux, J. (2008). Specificity of belief domains in OCD: validation of the French version of the Obsessive Beliefs Questionnaire and a comparison across samples. Journal of Anxiety Disorders, 22, 10291041. https://doi.org/10.1016/j.janxdis.2007.11.003 CrossRefGoogle Scholar
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 593. https://doi.org/10.1001/archpsyc.62.6.593 CrossRefGoogle ScholarPubMed
Koran, L., Thienemann, M., & Davenport, R. (1996). Quality of life for patients with obsessive-compulsive disorder. American Journal of Psychiatry, 153, 783788. https://doi.org/10.1176/ajp.153.6.783 Google ScholarPubMed
Lilienfeld, S. O., & Strother, A. N. (2020). Psychological measurement and the replication crisis: four sacred cows. Canadian Psychology, 61, 281288. https://doi.org/10.1037/cap0000236 CrossRefGoogle Scholar
Long, J. S. (1983). Confirmatory Factor Analysis: A Preface to LISREL. Sage Publications.10.4135/9781412983778CrossRefGoogle Scholar
Markarian, Y., Larson, M. J., Aldea, M. A., Baldwin, S. A., Good, D., Berkeljon, A., Murphy, T. K., Storch, E. A., & McKay, D. (2010). Multiple pathways to functional impairment in obsessive-compulsive disorder. Clinical Psychology Review, 30, 7888. https://doi.org/10.1016/j.cpr.2009.09.005 CrossRefGoogle ScholarPubMed
McDonald, R. P. (2013). Test Theory: A Unified Treatment. Psychology Press. https://doi.org/10.4324/9781410601087 CrossRefGoogle Scholar
Melli, G., Carraresi, C., Stopani, E., Radomsky, A. S., & Bulli, F. (2015). Factor structure and temporal stability of the Vancouver Obsessional Compulsive Inventory–Mental Contamination Scale (VOCI-MC) and psychometric properties of its Italian version. Comprehensive Psychiatry, 58, 198204. https://doi.org/10.1016/j.comppsych.2014.12.017 CrossRefGoogle ScholarPubMed
Obsessive Compulsive Cognitions Working Group (2005). Psychometric validation of the obsessive belief questionnaire and interpretation of intrusions inventory – Part 2: Factor analyses and testing of a brief version. Behaviour Research and Therapy, 43, 15271542. https://doi.org/10.1016/j.brat.2004.07.010 CrossRefGoogle Scholar
Poli, A., Melli, G., & Radomsky, A. S. (2019). Different disgust domains specifically relate to mental and contact contamination fear in obsessive-compulsive disorder: evidence from a path analytic model in an Italian clinical sample. Behavior Therapy, 50, 380394. https://doi.org/10.1016/j.beth.2018.07.006 CrossRefGoogle Scholar
Rachman, S. (1976). The modification of obsessions: a new formulation. Behaviour Research and Therapy, 14, 437443. https://doi.org/10.1016/0005-7967(76)90090-5 CrossRefGoogle ScholarPubMed
Rachman, S. (2004). Fear of contamination. Behaviour Research and Therapy, 42, 12271255. https://doi.org/10.1016/j.brat.2003.10.009 CrossRefGoogle ScholarPubMed
Rachman, S. (2010). Betrayal: a psychological analysis. Behaviour Research and Therapy, 48, 304311. https://doi.org/10.1016/j.brat.2009.12.002 CrossRefGoogle ScholarPubMed
Rachman, S. J., Coughtrey, A. E., Shafran, R., & Radomsky, A. S. (2014). Oxford Guide to the Treatment of Mental Contamination.10.1093/med:psych/9780198727248.001.0001CrossRefGoogle Scholar
Radomsky, A. S., Ouimet, A. J., Ashbaugh, A. R., Lavoie, S. L., Parrish, C. L., & O’Connor, K. P. (2006). Psychometric properties of the French and English versions of the Vancouver Obsessional-Compulsive Inventory and the Symmetry Ordering and Arranging Questionnaire. Cognitive Behaviour Therapy, 35, 164173. https://doi.org/10.1080/16506070600827198 CrossRefGoogle ScholarPubMed
Radomsky, A. S., Rachman, S., Shafran, R., Coughtrey, A. E., & Barber, K. C. (2014). The nature and assessment of mental contamination: a psychometric analysis. Journal of Obsessive-Compulsive and Related Disorders, 3, 181187. https://doi.org/10.1016/j.jocrd.2013.08.003 CrossRefGoogle Scholar
Reiss, S., Peterson, R. A., Gursky, D. M., & McNally, R. J. (1986). Anxiety sensitivity, anxiety frequency and the prediction of fearfulness. Behaviour Research and Therapy, 24, 18. https://doi.org/10.1016/0005-7967(86)90143-9 CrossRefGoogle ScholarPubMed
Ruscio, A. M., Stein, D. J., Chiu, W. T., & Kessler, R. C. (2010). The epidemiology of obsessive-compulsive disorder in the National Comorbidity Survey Replication. Molecular Psychiatry, 15, 5363. https://doi.org/10.1038/mp.2008.94 CrossRefGoogle ScholarPubMed
Sandin, B., Chorot, P., & McNally, R. J. (2001). Anxiety Sensitivity Index: normative data and its differentiation from trait anxiety. Behaviour Research and Therapy, 39, 213219. https://doi.org/10.1016/S0005-7967(00)00009-7 CrossRefGoogle ScholarPubMed
Shafran, R., Thordarson, D. S., & Rachman, S. (1996). Thought-action fusion in obsessive compulsive disorder. Journal of Anxiety Disorders, 10, 379391. https://doi.org/10.1016/0887-6185(96)00018-7 CrossRefGoogle Scholar
Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th edn). Pearson.Google Scholar
Thordarson, D. S., Radomsky, A. S., Rachman, S., Shafran, R., Sawchuk, C. N., & Ralph Hakstian, A. (2004). The Vancouver Obsessional Compulsive Inventory (VOCI). Behaviour Research and Therapy, 42, 12891314. https://doi.org/10.1016/j.brat.2003.08.007 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographic and clinical characteristics participants

Figure 1

Table 2. Internal consistency and reliability for the VOCI-MC and the CTAF in general population (n=320), obsessive-compulsive disorders (n=79) and anxiety disorders (n=31) groups

Figure 2

Table 3. Interrelationships between the VOCI-MC and CTAF and associations with other clinical measures by group

Submit a response

Comments

No Comments have been published for this article.