Examining the relationships between emotional disorder symptoms in a mixed sample of community adults and patients: A network analysis perspective

According to the literature, comorbidity rates observed on emotional disorders are linked to how the main diagnostic classification systems have traditionally defined these disorders. This paper aims to analyze the structure of symptoms evaluated with the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) with network analysis. A mixed sample (n = 2021) of 1692 community adults and 329 patients was used. 14.79% (n = 299) of the sample met the diagnostic criteria for at least one DSM-5 mental disorder and 5.29% (n = 107) had diagnostic comorbidity. The sample was randomly divided into two sub-samples: estimation sample (n = 1010) and replication sample (n  = 1011). The detection of community structures was carried out on estimation sample using the walktrap algorithm. Four local inference measures were estimated: Strength, one-step Expected Influence, two-step Expected Influence, and node predictability. Exploratory graphic analysis of modularity yielded an optimal solution of two communities on estimation sample: first linked to symptoms of depression and anxiety and second grouping symptoms of bipolar disorder and obsessive – compulsive disorder. Mania, Panic, Claustrophobia, and Low Well-Being Bridge emerged as bridge symptoms, connecting the two substructures. Networks estimated on replication subsamples did not differ significantly in structure. Dysphoria, Traumatic Intrusions and Checking and Ordering were the symptoms with greatest number of connections with rest of the network. Results sheds light on specific links between emotional disorder symptoms and provides useful information for the development of transdiagnostic interventions by identifying the influential symptoms within the internalizing spectrum.

Spanish Adaptation of the Inventory of Depression and Anxiety Symptoms (IDAS-II) and a study of its psychometric properties

BACKGROUND

The Inventory of Depression and Anxiety Symptoms (IDAS-II) is composed of 99 items organized into 18 specific scales that provides dimensional assessment of depression, anxiety and bipolar symptoms. To date, IDAS-II is only available in the English and Turkish population. The main purpose of this study is to adapt the IDAS-II to the Spanish population and to assess the psychometric properties.

METHODS

Participants included community adults (n = 620) and college students (n = 378). All participants completed the Beck Depression Inventory-II, Beck Anxiety Inventory, Hypomania Check List-32, Post-traumatic Stress Disorder Checklist-Civilian Version and Obsessive-Compulsive Inventory-Revised, in addition to the Spanish version of the IDAS-II.

RESULTS

The results indicate good internal consistency and high temporal stability of the Spanish version of the IDAS-II. Confirmatory factor analyses show for the first time that the three-factor structure of the IDAS-II (Distress, Obsessions/Fear, and Positive Mood) loads on a second order factor, labeled "Internalizing" according to the Hierarchical Taxonomy Of Psychopathology (HiTOP).

LIMITATIONS

Study was conducted exclusively on student and community samples and some of the measures used as gold-standard have presented limitations CONCLUSIONS: According to previous studies, the results supported the convergent and discriminant validity of the majority of IDAS-II scales. IDAS-II is useful in assessing the severity of depression, anxiety and bipolar symptoms in research contexts in a Spanish population according to the HiTOP model. However, more evidence is required to prove the adequate functioning of the IDAS-II in clinical samples.