Scale for time and space experience in anxiety (STEA): Phenomenology and its clinical relevance.

Anxiety is a pervasive emotional state where, phenomenologically, subjects often report changes in their experience of time and space. However, a systematic and quantified examination of time and space experience in terms of a self-report scale is still missing which eventually could also be used for clinical differential diagnosis. Based on historical phenomenological literature and patients' subjective reports, we here introduce, in a first step, the Scale for Time and Space Experience of Anxiety (STEA) in a smaller sample of 19 subjects with anxiety disorders and, in a second step, validate its shorter clinical version (cSTEA) in a larger sample of 48 anxiety subjects. The main findings are (i) high convergent and divergent validity of STEA with both Beck Anxiety Inventory (BAI) (r = 0.7325; p < 0.001) and Beck Depression Inventory (BDI) (r = 0.7749; p < 0.0001), as well as with spontaneous mind wandering (MWS) (r = 0.7343; p < 0.001) and deliberate mind wandering (MWD) (r = 0.1152; p > 0.05), (ii) statistical feature selection shows 8 key items for future clinical usage (cSTEA) focusing on the experience of temporal and spatial constriction, (iii) the effects of time and space experience (i.e., for both STEA and cSTEA scores) on the level of anxiety (BAI) are mediated by the degree of spontaneous mind wandering (MWS), (iv) cSTEA allows for differentiating high levels of anxiety from the severity of comorbid depressive symptoms, and (v) significant reduction in the cSTEA scores after a therapeutic intervention (breathing therapy). Together, our study introduces a novel fully quantified and highly valid self-report instrument, the STEA, for measuring time-space experiences in anxiety. Further we develop a shorter clinical version (cSTEA) which allows assessing time space experience in a valid, quick, and simple way for diagnosis, differential diagnosis, and therapeutic monitoring of anxiety.

Qatar's National Mental Health Study-The World Mental Health Qatar.

BACKGROUND: We provide an overview of Qatar's first epidemiological study on prevalence, predictors, and treatment contact for mood and anxiety disorders. AIMS: We highlight the importance of the three-pronged study, its aims, and its key components. MATERIALS & METHODS: The first component comprised a probability-based representative survey of Qatari and non-Qatari (Arab) adult males and females recruited from the general population and interviewed using the International Diagnostic Interview (CIDI version 3.3). The second component, a clinical reappraisal study, assessed concordance between diagnoses based on the CIDI and independent clinical assessments conducted by trained clinical interviewers. The third component comprised a resting-state functional magnetic resonance imaging study of healthy survey respondents who were matched to patients with psychosis. RESULTS: 5000 survey interviews provided data on prevalence and treatment of common mental disorders. Clinical re-interviews (N = 485) provided important diagnostic validity data. Finally, state-of-the art structural and functional brain markers for psychosis were also collected (N = 100). DISCUSSION: Descriptive epidemiological data were collected to inform future mental health priorities in Qatar and situates these within a global context. CONCLUSION: The study fills important gaps in regional and global estimates and establish necessary baseline to develop comprehensive risk estimates for mental health in Qatar's young population.

Twelve-month prevalence, persistence, severity, and treatment of mood and anxiety disorders in Qatar's national mental health study.

OBJECTIVES: To estimate 12-month prevalence, persistence, severity, and treatment of mental disorders and socio-demographic correlates in Qatar. METHODS: We conducted the first national population-based telephone survey of Arab adults between 2019 and 2022 using the Composite International Diagnostic Interview and estimated 12-month DSM-5 mood and anxiety disorders and their persistence (the proportion of lifetime cases who continue to meet 12-month criteria). RESULTS: The 12-month prevalence of any disorder was 21.1% (10.4% mild, 38.7% moderate, and 50.9% severe) and was associated with: younger age, female, previously married, and with persistence of any disorder. Persistence was 74.7% (64.0% mood and 75.6% anxiety) and was significantly associated with secondary education or lower. Minimally adequate treatment received among those with any 12-month mental disorder was 10.6% (74.6% in healthcare and 64.6% non-healthcare sectors). Severity and the number of disorders significantly associated with each other and with treatment received (χ2 = 7.24, p = 0.027) including adequate treatment within the mental health specialty sector (χ2 = 21.42, p < 0.001). CONCLUSIONS: Multimorbidity and sociodemographics were associated with 12-month mental disorder. Treatment adequacy in Qatar are comparable to high-income countries. Low treatment contact indicate need for population-wide mental health literacy programes in addition to more accessible and effective mental health services.

Comorbidity and Quality of Life in DSM-5 Social Anxiety Disorder Among a Nationally Representative Sample.

Objective: Social anxiety disorder (SAD) is a prevalent and debilitating psychiatric disorder that is associated with impairments in functioning and detrimental outcomes such as suicide, poor physical quality of life (QOL), and overall mental health. The goal of the present study was to examine the past year comorbidities of DSM-5 SAD among a large nationally representative sample of US adults (N = 36,309) and to examine correlates of physical QOL and overall mental health among individuals with past-year SAD (N = 980).Methods: The study utilized data from the National Epidemiologic Survey on Alcohol and Related Conditions-III to examine diagnostic correlates of SAD as well as how symptoms and features of SAD are related to QOL using survey-weighted regression analyses.Results: We found that comorbid depression, anxiety disorders, posttraumatic stress disorder, and borderline personality disorder were positively associated with SAD. Further, presence of these disorders was also associated with poorer mental health among those with SAD. We also found that specific feared situations (eg, eating and drinking in public) and social anxiety symptoms (panic attack and avoidance) were linked to both forms of QOL (all ps <0.01).Conclusion: The present findings highlight that SAD is comorbid with other impairing disorders and that these comorbidities, specific feared situations, and SAD symptoms are related to worse QOL in individuals with SAD.

Investigating heart rate variability measures during pregnancy as predictors of postpartum depression and anxiety: an exploratory study.

Perinatal affective disorders are common, but standard screening measures reliant on subjective self-reports might not be sufficient to identify pregnant women at-risk for developing postpartum depression and anxiety. Lower heart rate variability (HRV) has been shown to be associated with affective disorders. The current exploratory study aimed to evaluate the predictive utility of late pregnancy HRV measurements of postpartum affective symptoms. A subset of participants from the BASIC study (Uppsala, Sweden) took part in a sub-study at pregnancy week 38 where HRV was measured before and after a mild stressor (n = 122). Outcome measures were 6-week postpartum depression and anxiety symptoms as quantified by the Edinburgh Postnatal Depression Scale (EPDS) and the Beck Anxiety Inventory (BAI). In total, 112 women were included in a depression outcome analysis and 106 women were included in an anxiety outcome analysis. Group comparisons indicated that lower pregnancy HRV was associated with depressive or anxious symptomatology at 6 weeks postpartum. Elastic net logistic regression analyses indicated that HRV indices alone were not predictive of postpartum depression or anxiety outcomes, but HRV indices were selected as predictors in a combined model with background and pregnancy variables. ROC curves for the combined models gave an area under the curve (AUC) of 0.93 for the depression outcome and an AUC of 0.83 for the anxiety outcome. HRV indices predictive of postpartum depression generally differed from those predictive of postpartum anxiety. HRV indices did not significantly improve prediction models comprised of psychological measures only in women with pregnancy depression or anxiety.

Psychometrics of the Korean Version of the screen for adult anxiety related disorders (SCAARED).

BACKGROUND: For enhanced management of anxiety disorders, early screening and accurate diagnostic differentiation are essential. The Screen for Adult Anxiety Related Disorders (SCAARED) has been developed to identify and categorize anxiety disorders, thereby facilitating timely and appropriate interventions. In line with this, we aimed to translate and validate the Korean version of the SCAARED questionnaire for the Korean population. METHODS: The original SCAARED was translated into Korean and administered to community adult population (N = 119) ages 18-45 years old in South Korea. The internal consistency and test-retest reliability of the SCAARED were evaluated. In addition, its factor structure was examined using confirmatory and exploratory factor analysis. Concurrent validity was evaluated by comparing SCAARED with the Depression, Anxiety and Stress Scale-21 (DASS), the Beck's Anxiety Inventory (BAI) and the State-Trait Anxiety Inventory (STAI). Test-retest reliability was evaluated one week after the first assessment. RESULTS: The SCAARED showed good internal consistency (Cronbach's α = 0.945) and test-retest reliability (γ = 0.883). The SCAARED had significant correlation with DASS-21 subscales (γ = 0.655-0.701), BAI (γ = 0.788) and STAI subscales (γ = 0.548-0.736), confirming good concurrent validity. The results of the Exploratory Factor Analysis showed four factors comparable to the original SCAARED (Generalized anxiety, Somatic/Panic/Agoraphobia, Social anxiety, and Separation anxiety). The area under the curve of the receiver operating characteristic of total and each of the factor scores ranged from 0.724 to 0.942. CONCLUSIONS: The Korean version of the SCAARED is a reliable and valid instrument to screen for anxiety disorders in the Korean adult populations.

Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial.

BACKGROUND: Psychotherapies, such as cognitive behavioral therapy (CBT), currently have the strongest evidence of durable symptom changes for most psychological disorders, such as anxiety disorders. Nevertheless, only about half of individuals treated with CBT benefit from it. Predictive algorithms, including digital assessments and passive sensing features, could better identify patients who would benefit from CBT, and thus, improve treatment choices. OBJECTIVE: This study aims to establish predictive features that forecast responses to transdiagnostic CBT in anxiety disorders and to investigate key mechanisms underlying treatment responses. METHODS: This study is a 2-armed randomized controlled clinical trial. We include patients with anxiety disorders who are randomized to either a transdiagnostic CBT group or a waitlist (referred to as WAIT). We index key features to predict responses prior to starting treatment using subjective self-report questionnaires, experimental tasks, biological samples, ecological momentary assessments, activity tracking, and smartphone-based passive sensing to derive a multimodal feature set for predictive modeling. Additional assessments take place weekly at mid- and posttreatment and at 6- and 12-month follow-ups to index anxiety and depression symptom severity. We aim to include 150 patients, randomized to CBT versus WAIT at a 3:1 ratio. The data set will be subject to full feature and important features selected by minimal redundancy and maximal relevance feature selection and then fed into machine leaning models, including eXtreme gradient boosting, pattern recognition network, and k-nearest neighbors to forecast treatment response. The performance of the developed models will be evaluated. In addition to predictive modeling, we will test specific mechanistic hypotheses (eg, association between self-efficacy, daily symptoms obtained using ecological momentary assessments, and treatment response) to elucidate mechanisms underlying treatment response. RESULTS: The trial is now completed. It was approved by the Cantonal Ethics Committee, Zurich. The results will be disseminated through publications in scientific peer-reviewed journals and conference presentations. CONCLUSIONS: The aim of this trial is to improve current CBT treatment by precise forecasting of treatment response and by understanding and potentially augmenting underpinning mechanisms and personalizing treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT03945617; https://clinicaltrials.gov/ct2/show/results/NCT03945617. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42547.

Originalarbeiten / Original Articles. Entwicklung und Evaluation einer Aufklärungsbroschüre zu Ängsten und Angststörungen für Jugendliche.

Development and Evaluation of an Information Brochure on Anxiety and Anxiety Disorders for Adolescents Low mental health literacy and fear of being stigmatized are two main barriers that detain adolescents fromseeking professional help. An information brochure about anxiety disorders for adolescents was developed. To make a first statement about the quality of the brochure, 19 experts, consisting of (child and adolescents) psychotherapists, psychiatrists, and psychologists, rated a first version of the brochure regarding content validity and age-appropriatness. To evaluate the efficacy in knowledge and the acceptance of the brochure, a revised version was evaluated by N = 174 adolscents (106 female-, 66 male- and two non-binary) between 14 and 17 years of age (M = 16.56 years.; SD = 0.57).The experts' approval of all content items totals a mean average of 95.2 % (range: 84.2-100 %). In the adolescent sample, the intervention increased knowledge about anxiety disorders (d = 1.04) and improved attitudes about coping strategies (d = 0.99). Results of the experts' rating showed that content validity of the brochure can be assumed.The revised brochure seems to be a useful and effective tool to inform adolescents about anxiety disorders.

Aerobic exercise during adolescence and anxiety disorders in adulthood: A cohort study using Add Health.

INTRODUCTION: The prevalence of anxiety disorders, and mental chronic diseases, has increased over the last decade among adolescents. Since aerobic exercise reduces the risk of chronic diseases and stress symptoms, we aimed to examine the association between aerobic exercise in adolescence and anxiety disorders in adulthood. METHODS: Self-reported, publicly available data from 5,114 adolescents who participated in Waves I and IV of the National Longitudinal Study of Adolescent Health (Add Health) was analyzed from 1994-2009. We included US-based individuals aged 16 years on average and observed them for 15 years. Weighted Poisson regression models estimated the association between aerobic exercise in Wave I (1994, baseline) and anxiety disorders in Wave IV (2009, adulthood), adjusting for sociodemographic characteristics and substance use at baseline. RESULTS: Overall, 639/5,114 (weighted 12.96%) individuals experienced anxiety disorders at baseline. Age and sex differed significantly across all exercise groups (p's<0.001). Aerobic exercise did not significantly protect against anxiety disorders in adulthood: compared to adolescents who did not exercise at all, those who exercised 1-2 times/week had 0.85 times the prevalence of anxiety disorders during adulthood (95% CI = 0.65, 1.12; p = 0.25). Those who exercised 3-4 times/week had 0.81 times the prevalence (95% CI = 0.61, 1.08, p = 0.15) and those who exercised 5+ times/week had 0.84 times the prevalence (95% CI = 0.63, 1.13, p = 0.25) than those who did not exercise at all. CONCLUSION: Aerobic Exercise in adolescence did not protect against anxiety disorders in adulthood. More evidence is needed on this association, including using homogeneous measures of exercise and repeated measures methods.

The comorbid network characteristics of anxiety and depressive symptoms among Chinese college freshmen.

BACKGROUND: This study aimed to investigate the interplay between anxiety and depressive symptoms in Chinese college freshmen using the causal system perspective (CSP), which differs from the traditional common cause perspective (CCP) by providing an alternative explanation by attributing comorbidity to direct interactions among symptoms. METHODS: A convenience sample of 2,082 Chinese college freshmen (39.51% male, Mage = 18.61) from a normal university completed the Generalized Anxiety Disorder 7-Item Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9). Network analysis was conducted and evaluated as to centrality, stability, node predictability, and bridging features. Moreover, the moderated network model (MNM) was utilized to detect the moderation effects of gender in the comorbidity network. RESULTS: The network of anxiety and depressive symptoms exhibited stability, characterized by the core symptoms of "restlessness", "lack of energy", and "excessive worry about control", as well as the bridging symptoms of "fearfulness", "sad mood", and "irritability". Notably, the nodes representing "uncontrollable worry" and "difficulty in relaxation" demonstrated the highest predictive power. Gender did not exert any moderating effects on the anxiety and depressive symptom network. CONCLUSION: These results reinforce that certain anxiety or depressive symptoms are more central than others, and thus play a more vital role in the comorbid network. These findings highlight underlying potential targeting symptoms to consider in future interventions.

Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships.

OBJECTIVE: Depression and anxiety, prevalent coexisting mood disorders, pose a clinical challenge in accurate differentiation, hindering effective healthcare interventions. This research addressed this gap by employing a streamlined Symptom Checklist 90 (SCL-90) designed to minimize patient response burden. Utilizing machine learning algorithms, the study sought to construct classification models capable of distinguishing between depression and anxiety. METHODS: The study included 4262 individuals currently experiencing depression alone (n = 2998), anxiety alone (n = 716), or both depression and anxiety (n = 548). Counterfactual diagnosis was used to construct a causal network on the dataset. Employing a causal network, the SCL-90 was simplified. Items that have causality with only depression, only anxiety and both depression and anxiety were selected, and these streamlined items served as input features for four distinct machine learning algorithms, facilitating the creation of classification models for distinguishing depression and anxiety. RESULTS: Cross-validation demonstrated the performance of the classification models with the following metrics: (1) K-nearest neighbors (AUC = 0.924, Acc = 92.81 %); (2) support vector machine (AUC = 0.937, Acc = 94.38 %); (3) random forest (AUC = 0.918, Acc = 94.38 %); and (4) adaptive boosting (AUC = 0.882, Acc = 94.38 %). Notably, the support vector machine excelled, with the highest AUC and superior accuracy. CONCLUSION: Incorporating the simplified SCL-90 and machine learning presents a promising, efficient, and cost-effective tool for the precise identification of depression and anxiety.

The Brazilian version of the Inventory of Depression and Anxiety Symptoms-Expanded Version: Internal structure, invariance by sex and race, and associations with pathological personality traits.

The Inventory of Depression and Anxiety Symptoms-Expanded version (IDAS-II) is one of the few tools designed to assess internalizing symptoms based on dimensional models. We conducted two studies, the first testing internal validity aspects of the IDAS-II and the second testing the external validity of the scales. In the first study we adapted the IDAS-II to Brazilian Portuguese and tested its internal structure, including a higher order factorial solution coherent with the internalizing spectrum, the stability of the factor structure, and its measurement invariance for sex and racial groups. Participants were 2,379 Brazilian adults. In the second study, we investigated the IDAS-II scales' associations with broad pathological personality traits in Brazilian (N = 245) and North American (N = 402) samples. The results of the first study indicated that the IDAS-II scales are grouped into three first-order factors (Distress, Obsessions/Fear, and Positive Mood), replicating Wester et al. (2022) and Petre et al. (2023). Our results also suggested the plausibility of an internalizing second-order factor for the IDAS-II Brazilian version. The multigroup confirmatory factor analysis shows that this scale is invariant for males and females and for White and Black/Brown people. In the second study, the IDAS-II scales demonstrated mostly coherent associations with broad domains of pathological personality traits. Besides the internal validity of the Brazilian IDAS-II, our results also provide information about its external validity and expand its nomological network, as it is the first study reporting its associations with broad domains of pathological personality traits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.

BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on their overall well-being is exacerbated. Early identification of anxiety disorders using machine learning (ML) can potentially mitigate the adverse consequences associated with these disorders. METHODS: We applied ML to the data from the Canadian Longitudinal Study on Aging (CLSA) to predict the onset of anxiety disorders approximately three years in the future. We used Shapley value-based methods to determine the top factor for prediction. We also investigated whether anxiety onset can be predicted by baseline depression-related predictors alone. RESULTS: Our model was able to predict anxiety onset accurately (Area under the Receiver Operating Characteristic Curve or AUC = 0.814 ± 0.016 (mean ± standard deviation), balanced accuracy = 0.741 ± 0.016, sensitivity = 0.743 ± 0.033, and specificity = 0.738 ± 0.010). The top predictive factors included prior depression or mood disorder diagnosis, high frailty, anxious personality, and low emotional stability. Depression and mood disorders are well known comorbidity of anxiety; however a prior depression or mood disorder diagnosis could not predict anxiety onset without other factors. LIMITATION: While our findings underscore the importance of a prior depression diagnosis in predicting anxiety, they also highlight that it alone is inadequate, signifying the necessity to incorporate additional predictors for improved prediction accuracy. CONCLUSION: Our study showcases promising prospects for using machine learning to develop personalized prediction models for anxiety onset in middle-aged and older adults using easy-to-access survey data.

The capacity of cognitive tests to detect generalized anxiety disorder (GAD): A pilot study.

Cognitive impairment remains understudied in generalized anxiety disorder (GAD), despite the high prevalence and substantial burden associated with this disorder. We aimed to assess cognitive impairment in patients with GAD and evaluate the ability of cognitive tests to detect this disorder. Because of its high rate of comorbidity, we also examined how other anxiety disorders and current major depressive episodes affected our results. We tested 263 consecutive general practice outpatients. We used the GAD-7 and the Mini International Neuropsychiatric Interview (MINI) to detect anxiety and mood disorders. We assessed cognitive performance with the Stroop test, a facial emotion recognition test, and the trail-making test (TMT). Compared to patients without GAD, patients with GAD were significantly slower to complete the TMT(B-A) and faster to recognize emotions, especially negative ones such as disgust and anger. When controlling for other anxiety disorders and current major depressive episode, GAD retained a significant effect on the TMT(B-A), but not on the emotion recognition test. The TMT(B-A) could detect GAD with good accuracy (area under the curve (AUC) = 0.83, maximal Youden's index = 0.56), which was by no means comparable to the GAD-7 (AUC = 0.97, Youden's index = 0.81). While it is not efficient enough to replace the GAD-7 as a diagnostic tool, the capacity of the TMT(B-A) to detect GAD emphasizes the importance of cognitive flexibility impairment in GAD.

Adaptation and validation study of the Indonesian version of the Global Psychotrauma Screen in an undergraduate student population.

BACKGROUND: The high incidence of potentially traumatic events (PTEs) in Indonesia warrants early identification of those with probable trauma-related disorders in order to tailor prevention and intervention for trauma-related symptoms. OBJECTIVES: This study aims to adapt and validate a novel brief transdiagnostic screener, the Global Psychotrauma Screen (GPS), in Indonesian undergraduate students. METHODS: An online survey was administered among Indonesian undergraduate students (N = 322). Exploratory factor analysis, reliability analyses, clinical validity analyses, and correlational analyses were performed to evaluate the construct validity, reliability, clinical validity, and convergent-divergent validity of the Indonesian GPS. Hierarchical multiple regression was conducted to assess the relationship between risk factors and trauma-related symptoms. The relationship between four categories of trauma-related symptom severity and social/work functioning was measured using Analysis of Covariance. RESULTS: Exploratory factor analysis yielded a single-factor solution. The Indonesian GPS demonstrated good internal consistency, test-retest correlation, and absolute agreement, indicating good reliability. The Indonesian GPS also had an acceptable area under the curve, sensitivity, and specificity for a probable diagnosis of Post-Traumatic Stress Disorder (PTSD), Complex-PTSD (CPTSD), depression, and generalized anxiety disorder (GAD). We also established evidence for the convergent and divergent validity of GPS. The GPS risk factors (low psychological resilience, other stressful events, history of mental illness, and low social support) contributed to predicting trauma-related symptoms after controlling for gender, age, employment status, and faculty background. Additionally, in comparison to participants from the mild and low categories of GPS symptoms scores, participants from the severe and moderate category reported impaired lowered social/work functioning. CONCLUSION: The current findings indicate that the Indonesian GPS is a valid and reliable transdiagnostic trauma screener for Indonesian undergraduate students. This first comprehensive validation of the GPS in Indonesia calls for more research in Lower-middle Income Countries (LMICs) as a way towards prevention and early intervention for trauma-related symptoms.

The assessment of transdiagnostic dimensions of emotional disorders: Validation of the Multidimensional Emotional Disorders Inventory (MEDI) in adolescents with subthreshold anxiety and depression.

BACKGROUND: The transdiagnostic approach to psychopathology has emerged as an alternative to traditional taxonomic approaches. The Multidimensional Emotional Disorders Inventory (MEDI) is a specifically designed self-report to measure the transdiagnostic dimensions proposed by Brown and Barlow (2009). This study aims to analyse the psychometric properties of the MEDI scores in adolescents with subthreshold anxiety and depression. METHOD: The sample consisted of a total of 476 students. The mean age was 13.77 years (SD = 1.43) (range 10 to 18 years), 73.9 % were females. Several questionnaires assessing positive affect, negative affect, mental health difficulties, and quality of life were used. RESULTS: The original 9-factor structure of the MEDI was confirmed with good fit indices. Satisfactory levels of internal consistency were observed in most of the MEDI scores using McDonald's Omega, ranging from 0.58 to 0.87. The MEDI dimensions were associated with psychopathology, positive affect, negative affect, and quality of life. LIMITATIONS: Reliance on self-reported data, a cross-sectional design limiting temporal assessment, and a 73.9 % female gender imbalance. CONCLUSION: The MEDI scores showed adequate psychometric properties among adolescents with subclinical emotional symptoms. The results found might have potential clinical implications for conceptualization, assessment, intervention, and prevention of emotional disorders at both clinical and research levels.

Interoception moderates the association between alexithymia and anxiety symptoms / La interocepción modera la asociación entre la alexitimia y los síntomas de ansiedad

In 2019, 301 million people were living with an anxiety disorder. Recently, alexithymia and interoception has been considered to play a key role to understand anxiety symptoms. Both constructs are related to each other and together interfere with emotional regulation; however, its relationship has been much debated. A recent two-stage model proposed interoception as a moderator in the relation between alexithymia and anxiety symptoms. Therefore, the aim of the present research was to study how this model could explain the anxiety symptoms. Two hundred forty-one healthy participants completed the General Health Questionnaire, the Toronto Alexithymia Scale and the Multidimensional Assessment of Interoceptive Awareness. Results verified that interoception moderates the association between alexithymia and anxiety symptoms, showing that, for alexithymia to be positively associated with the magnitude of these symptoms, at least a medium level of interoception is necessary. (AU)

En 2019, se estimaba que 301 millones de personas vivían con un trastorno de ansiedad. Recientemente, se ha considerado que tanto la alexitimia como la interocepción desempeñan un papel clave en la comprensión de los síntomas de ansiedad. Ambos constructos están relacionados entre sí y juntos interfieren en la regulación emocional; sin embargo, su relación ha sido objeto de mucho debate. Recientemente, un nuevo modelo de dos etapas propuso la interocepción como moderador en la relación entre la alexitimia y los síntomas de ansiedad. El objetivo de la presente investigación es estudiar cómo este modelo podría explicar los síntomas de ansiedad. 241 participantes sanos completaron el Cuestionario de Salud General, la Escala de Alexitimia de Toronto y la Evaluación Multidimensional de la Conciencia Interoceptiva. Los resultados verificaron que la interocepción modera la asociación entre la alexitimia y los síntomas de ansiedad, mostrando que, para que la alexitimia esté positivamente relacionada con la magnitud de estos síntomas, es necesario al menos un nivel medio de interocepción. (AU)

Reliability and validity of the Patient Health Questionnaire-4 scale and its subscales of depression and anxiety among US adults based on nativity.

BACKGROUND: The burdens of anxiety and depression symptoms have significantly increased in the general US population, especially during this COVID-19 epidemiological crisis. The first step in an effective treatment for anxiety and depression disorders is screening. The Patient Health Questionnaire-4 (PHQ-4, a 4-item measure of anxiety/depression) and its subscales (PHQ-2 [a 2-item measure of depression] and Generalized Anxiety Disorder [GAD-2, a 2-item measure of anxiety]) are brief but effective mass screening instruments for anxiety and depression symptoms in general populations. However, little to no study examined the psychometric properties (i.e., reliability and validity) of the PHQ-4 and its subscales (PHQ-2 and GAD-2) in the general US adult population or based on US nativity (i.e., foreign-born vs. the US-born). We evaluated the psychometric properties of the PHQ-4 and its subscales in US adults, as well as the psychometric equivalence of the PHQ-4 scale based on nativity. METHODS: We conducted a cross-sectional survey of 5,140 adults aged ≥ 18 years. We examined the factorial validity and dimensionality of the PHQ-4 with confirmatory factor analysis (CFA). A multiple-group confirmatory factor analysis (MCFA) was used to evaluate the comparability of the PHQ-4 across nativity groups. Reliability indices were assessed. Also, the scales' construct validities were assessed by examining the associations of both the PHQ-4 and its subscales' scores with the sociodemographic characteristics and the 3-item UCLA Loneliness scale. RESULTS: The internal consistencies were high for the PHQ-4 scale (α = 0.92) and its subscales of PHQ-2 (α = 0.86) and GAD-2 (α = 0.90). The CFA fit indices showed evidence for the two-factor structure of the PHQ-4. The two factors (i.e., anxiety and depression) were significantly correlated (r = 0.92). The MCFA demonstrated measurement invariance of the PHQ-4 across the nativity groups, but the model fits the data better in the foreign-born group. There were significant associations of the PHQ-4 scale and its subscales' scores with the sociodemographic characteristics and the UCLA Loneliness scale (all p < 0.001). CONCLUSIONS: The PHQ-4 and its subscales are reliable and valid measures to screen anxiety and depression symptoms in the general US adult population, especially in foreign-born individuals during the COVID-19 pandemic.