French Validation of the Camouflaging Autistic Traits Questionnaire (CAT-Q)

PURPOSE

Autistic camouflaging is a collection of strategies used to hide autistic characteristics. It can have serious consequences on autistic people's mental health and needs to be addressed and measured in clinical practice. The purpose of this study is to evaluate the psychometric properties of the French adaptation of the Camouflaging Autistic Traits Questionnaire.

METHODS

1227 participants (744 autistic, 483 non-autistic) answered the French version of the CAT-Q in an online survey or on paper. Confirmatory factor analysis, measurement invariance testing, internal consistency analysis (McDonald's ω), and convergent validity with the DASS-21 depression subscale were conducted. Test-rest reliability was assessed on a sample of 22 autistic volunteers using intraclass correlation coefficient.

RESULTS

A good fit was found for the original three-factor structure as well as a good internal consistency, excellent test-retest reliability and highly significant convergent validity. Measurement invariance testing indicates however that the meaning behind items is different for autistic vs. non-autistic people.

CONCLUSION

The French version of the CAT-Q can be used in clinical settings to assess camouflaging behaviors and intent to camouflage. Further research is needed to clarify the camouflage construct and whether reported measurement noninvariance are due to cultural differences or a true difference in what camouflaging might mean for non-autistic people.

Autistic traits and camouflaging behaviors: a cross-sectional investigation in a University student population

BACKGROUND

Increasing research is stressing the importance of identifying autistic traits (ATs) in clinical and general populations. University students may be a group at higher risk for the presence of ATs. Recently, specific attention has been paid to camouflaging strategies used by subjects in the autism spectrum in order to cope with the social environment. The aim of this work was to evaluate the prevalence of ATs and camouflaging behaviors in a population of University students.

METHODS

Subjects were requested to anonymously fill out through an online form the Adult Autism Subthreshold Spectrum and the Camouflaging AT Questionnaire.

RESULTS

ATs were more represented among males and among students of specific fields of study. Camouflaging behaviors were significantly more frequent among subjects with more severe autism spectrum symptoms, without differences depending from sex.

CONCLUSIONS

Our study confirms the strong association between ATs and camouflaging behaviors and the relationship between ATs, sex, and specific fields of study.

Validation of the Italian version of the Camouflaging Autistic Traits Questionnaire (CAT-Q) in a University population

The Camouflaging Autistic Traits Questionnaire (CAT-Q) is an instrument recently developed and validated in English for measuring social camouflaging. While increasing research is focusing on camouflaging behaviours often used for masking autistic traits in social contexts, the CAT-Q remains the only self-report instrument in this field. We aimed to validate the Italian version of the CAT-Q, further testing its validity and reliability in a large Italian University population (N = 2439). We employed the Adult Autism Subthreshold Spectrum (AdAS Spectrum) for assessing autism spectrum conditions. The CAT-Q demonstrated excellent internal consistency and test-retest reliability, as well as strong correlations with the AdAS Spectrum. Our results confirm that the CAT-Q is a valuable instrument for evaluating social camouflaging.

Mass spectrometry techniques in the survey of steroid metabolites as potential disease biomarkers: a review

Mass spectrometric approaches have been fundamental to the identification of metabolites associated with steroid hormones, yet this topic has not been reviewed in depth in recent years. To this end, and given the increasing relevance of liquid chromatography-mass spectrometry (LC-MS) studies on steroid hormones and their metabolites, the present review addresses this subject. This review provides a timely summary of the use of various mass spectrometry-based analytical techniques during the evaluation of steroidal biomarkers in a range of human disease settings. The sensitivity and specificity of these technologies are clearly providing valuable new insights into breast cancer and cardiovascular disease. We aim to contribute to an enhanced understanding of steroid metabolism and how it can be profiled by LC-MS techniques.