Psychometric Properties of the Iranian Version of Contrast Avoidance Questionnaires: Could Contrast Avoidance Be a New Transdiagnostic Construct?

The contrast avoidance model (CAM) hypothesizes that individuals with chronic worry recruit worry to create and maintain a negative emotional state to avoid sudden increases in negative emotions. Preliminary evidence using the contrast avoidance questionnaires (CAQs) suggests that there might be a similar mechanism across mood and other anxiety disorders. To continue to assess the CAQs, they should be adapted for other languages and evaluated across multiple symptom domains. The present study aimed to develop the Persian versions of the CAQs and examine the transdiagnostic nature of CAM across two studies. A large Persian-speaking college student sample (Total n = 1438) was used to evaluate the factor structure of the CAQs (Study 1) and the psychometric properties of CAQs (Study 2). Results supported the two-factor structure of the CAQ-W (worry) and CAQ-GE (general emotion). Results showed that CAQ-W was a significant predictor of anxiety-related measures. However, CAQ-GE and IUS-12 significantly predicted depressive and other symptoms over the CAQ-W. Results demonstrated excellent psychometric properties. They indicate that contrast avoidance, measured via CAQ-GE, could be a transdiagnostic construct, and CAQ-W may be more sensitive to anxiety-specific contrast avoidance among Persian speaking and/or Iranian individuals.

Deficits in specific executive functions manifest by severity in major depressive disorder: a comparison of antidepressant naïve inpatient, outpatient, subclinical, and healthy control groups

Introduction

Previous research has highlighted the executive function (EF) deficits present in depressed patients; however, conflicting results exist regarding the impact of depression severity on the size of these deficits. This study aimed to compare deficits in EF between antidepressant naïve inpatient and outpatient depressed, a group with subclinical depression symptoms, and a healthy control group while controlling for education, sex, and age.

Methods

In cross-sectional research, 245 antidepressant naive participants (46 inpatient, 68 outpatient, 65 subclinical, and 67 healthy control individuals) were recruited by convenience sampling. The Structured Clinical Interview for DSM-5 Disorders (SCID-5) and Beck Depression Inventory-II (BDI-II) were used to assess depression. EF was measured using several neuropsychological tests, including the Stroop Color-Word Test, the Wisconsin Card Sorting Test, and the N-back Test, which assessed the components of Inhibition, Shifting, and Updating, respectively. Multivariate analysis of covariance revealed a significant difference between the groups in EF components (p < 0.001). Pairwise comparisons further showed that inpatient and outpatient patients had more depressive symptoms and worse EF performance than subclinical and healthy control groups (p < 0.05).

Results

In the analysis of EF measures, a significant difference was found among the four groups, with post-hoc tests revealing variations in specific EF components. Overall, patients with more severe depressive symptoms show more deficits in EF. Additionally, correlations between clinical characteristics and EF measures varied across patient groups, but many correlations became non-significant after adjusting for the false discovery rate (FDR).

Discussion

This study emphasizes the impact of depression severity on deficits in the EF of depressed patients and at-risk populations. Consequently, it is important to consider executive dysfunctions as an underlying vulnerability in the development and persistence of depressive disorder.

Psychometric properties, predictive utility and diagnostic capacity of the Persian version of the Scale of Resilience to Suicide Attempts in army conscripts

INTRODUCTION

Suicide among army conscripts represents a poorly understood and complex public health issue that has escalated in recent decades. The early identification of individuals at risk holds the potential to significantly contribute to the effective prevention of suicide attempts. To address this, the Scale of Resilience to Suicide Attempts-18 (SRSA-18) has been developed to assess protective factors related to suicide attempts. The present study aimed to develop a Persian version of SRSA-18 (P-SRSA) and examine its psychometric properties and predictive utility within a sample of the Iranian Army.

METHODS

The initial study sample consisted of 400 male conscripts from the Iranian Army grand forces (M=19.86, SD=1.40). Subsequently, for the follow-up stage, 296 participants (M=19.83, SD=1.39) were recruited. The participants were assessed using various measures of resilience, social support, suicide and hopelessness at baseline and a 6-month follow-up.

RESULTS

In contrast to the original version, both exploratory and confirmatory factor analyses supported an 18-item two-factor model of the P-SRSA (root mean square error of approximation=0.076; 95% CI (0.069 to 0.086), comparative fit index=0.943, Tucker-Lewis index=0.936). P-SRSA strongly correlated with convergent/divergent measures and demonstrated satisfactory internal consistency (α=0.82). Furthermore, regression analysis revealed that the P-SRSA significantly predicted suicide reattempts at baseline and during a 6-month follow-up period.

CONCLUSION

The study confirms that the P-SRSA, comprising a two-factor, 18-item solution, is a reliable measure of resilience, displaying robust discriminant and predictive validity. These findings provide substantial support for implementing P-SRSA in samples from the Iranian Army, highlighting its potential to identify suicidal conscripts effectively.