Dimensionality and Measurement Invariance of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) and Validity Comparison With Measures of Negative Emotionality

Anxiety and depressive symptoms in first-time parents: A dyadic longitudinal study based on attachment theory

BACKGROUND

The aim of this study was to examine the temporal and dyadic associations between anxiety and depressive symptoms during the transition to parenthood (TTP), while exploring the antecedence of attachment insecurities in these associations.

METHOD

Couples of first-time parents (N = 211) completed the State-Trait Anxiety Inventory, the Edinburgh Postnatal Depression Scale, the Experiences in Close Relationships scale, and a sociodemographic questionnaire during the second trimester of pregnancy and at four and twelve months postpartum.

RESULTS

Both prenatal anxiety and depressive symptoms predicted postnatal depressive and anxiety symptoms. Prenatal attachment-related anxiety predicted higher postnatal anxiety and depressive symptoms whereas prenatal attachment-related avoidance predicted higher postnatal depressive symptoms only. Parents whose partners had a higher level of prenatal attachment-related anxiety experienced higher postnatal anxious and depressive symptoms via their own's prenatal depressive symptoms. Parents whose partners had a higher level of prenatal attachment-related avoidance experienced higher postnatal depressive symptoms via their own's prenatal anxious symptoms. No gender differences were found for these associations.

LIMITATIONS

The sample was predominantly composed of educated heterosexual French-Canadian Caucasian couples and all measures were self-reported.

CONCLUSIONS

Our original findings suggest that professionals should routinely screen for anxiety and depressive symptoms in both partners from pregnancy up to one year postpartum. Also, our findings suggest addressing attachment insecurities with both partners to prevent the development of future symptoms during pregnancy or after childbirth. Finally, our study supports the relevance of considering these symptoms at subclinical levels during the TTP.

A Measurement Invariance Analysis of the Anxiety Scale for Autism-Adults in a Sample of Autistic and Non-Autistic Men and Women

The Anxiety Scale for Autism-Adults (ASA-A) captures the autistic anxiety experience, but we do not know whether it is structurally equivalent for men and women, or non-autistic people. Measurement invariance analysis considered gender and diagnostic status (342 cis-gender autistic men (N = 105) and women (N = 237), 316 cis-gender non-autistic men (N = 104) and women (N = 212)). Strict invariance was achieved between autistic men and women and between non-autistic men and women, but the ASA-A structure is quantitatively different in autistic compared to non-autistic adults. Therefore, this tool cannot be used to directly compare anxiety between these groups. Autistic women scored significantly higher on the ASA-A than autistic men and Uncertainty was the highest scoring factor for autistic participants. Future research should include alternative gender identities.

Measuring State and Trait Anxiety: An Application of Multidimensional Item Response Theory

The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a widely used measure of state and trait anxiety. Within the Classical Testing Theory model, consistent findings provide support for its multidimensional factor structure, discriminant, convergent, and nomological validity, as well as age and gender invariance, across healthy and clinical samples. Nevertheless, some issues regarding STICSA dimensionality and item-scale composition remain unresolved (e.g., both bifactor and two-factor models were found to fit data equally well). The goal of this study was to investigate the STICSA's dimensionality within the Item Response Theory, and to assess the tenability of the bifactor model as a plausible model over the multidimensional model. The sample consisted of 3338 Italian participants (58.21% females; 41.79% males) with an average age of 35.65 years (range: 18-99; SD = 20.25). Both bifactor and two-correlated dimensions of the STICSA scales were confirmed to fit data by applying the multidimensional Item Response Theory (mIRT). While the bifactor model showed better fit indices, the multidimensional model was more accurate and precise (0.86-0.88) in estimating state and trait latent anxiety. A further comparison between multidimensional item parameters revealed that the multidimensional and bifactor models were equivalent. Findings showed that the STICSA is an accurate and precise instrument for measuring somatic and cognitive symptomatology dimensions within state and trait anxiety. The use of the state/trait total score requires special attention from the clinicians and researchers to avoid bias in the psychodiagnostic assessment.

Cognitive Symptoms Link Anxiety and Depression Within a Validation of the German State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA)

Background

In the present study we aimed to develop a German version of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) and evaluate the psychometric properties. Associations of cognitive and somatic anxiety with other measures of anxiety, depression, and stress, elucidating possible underlying functional connections, were also examined, as symptoms of anxiety, depression and stress often overlap.

Method

Two samples (n1 = 301; n2 = 303) were collected online and in the lab, respectively. Dynamic connections between somatic and cognitive anxiety, other measures of anxiety, depression, and stress, were analyzed using a network approach. Psychometric analyses were conducted using exploratory and confirmatory factor analyses.

Results

We replicated and validated the two-factorial structure of the STICSA with the German translation. Network analyses revealed cognitive trait anxiety as the most central node, bridging anxiety and depression. Somatic trait anxiety exhibited the highest discriminant validity for distinguishing anxiety from depression.

Conclusion

The central role of cognitive symptoms in these dynamic interactions suggests an overlap of these symptoms between anxiety and depression and that differential diagnostics should focus more on anxious somatic symptoms than on cognitive symptoms. The STICSA could therefore be useful in delineating differences between anxiety and depression and for differential assessment of mood and anxiety symptoms. Additional understanding of both cognitive and somatic aspects of anxiety might prove useful for therapeutic interventions.