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.

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.

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.

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)

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.

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.

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.

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 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.

Prevalence and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa.

INTRODUCTION: Between 10 and 20% of children and adolescents globally experience common mental health conditions such as depression or anxiety. Given the dearth of mental health services in low- and middle-income countries, most mental health conditions among adolescents remain undiagnosed and untreated. In South Africa, few studies have explored the prevalence of depression and anxiety among young adolescents aged 10-14 years. This study examined the prevalence of, and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa. METHODS: A cross-sectional study was conducted in 10 schools in the Western Cape Province from February to July 2022. Data were collected using a tablet-based survey and included sociodemographic items, the Generalized Anxiety Disorder 7-item scale (GAD-7), the Patient Health Questionnaire for Adolescents (PHQ-A) and other psychosocial measures. The prevalence of depression and anxiety was estimated based on cut-off scores for the GAD-7 and PHQ-A. Multivariable logistic regression models were used to investigate the associations between sociodemographic and psychosocial factors, and depression and anxiety. RESULTS: Of the 621 adolescents, 33.5% (n = 208) reported experiencing symptoms of depression and 20.9% (n = 130) symptoms of anxiety potentially indicative of a diagnosis. The results of the multivariable logistic regression model indicate that being in a higher grade in school (AOR = 1.65, CI:1.43-1.92), any lifetime alcohol use (AOR = 1.62, CI:1.04-2.64), other drug use (AOR = 2.07, CI:1.06-4.04), and witnessing violence among adults at home (AOR = 2.12, CI:1.07-1.41) were significantly associated with experiencing depressive symptoms. Being in a higher grade in school (AOR = 1.69, CI: 1.42-2.01), poor emotional regulation skills (AOR = 1.03, CI: 1.00-1.07), and the use of cannabis (AOR = 1.03, CI: 1.00-1.07) were significantly associated with experiencing anxiety symptoms. CONCLUSION: These findings add to our understanding of school-going adolescents' pressing mental health needs and suggest that mental health adolescent and caregiver interventions may be required to address mental health symptoms and associated risk factors.

Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder.

BACKGROUND: A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding of the occurrence and maintenance of GAD. We aim to obtain an exploratory conceptualization of temporal GAD network and identify the central symptom. METHODS: A sample of participants (n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in an online daily diary study in which they reported their GAD symptoms based on DSM-5 diagnostic criteria (eight symptoms in total) for 50 consecutive days. We used a multilevel VAR model to obtain the temporal network. RESULTS: In temporal network, a lot of lagged relationships exist among GAD symptoms and these lagged relationships are all positive. All symptoms have autocorrelations and there are also some interesting feedback loops in temporal network. Sleep disturbance has the highest Out-strength centrality. CONCLUSIONS: This study indicates how GAD symptoms interact with each other and strengthen themselves over time, and particularly highlights the relationships between sleep disturbance and other GAD symptoms. Sleep disturbance may play an important role in the dynamic development and maintenance process of GAD. The present study may develop the knowledge of the theoretical model, diagnosis, prevention and intervention of GAD from a temporal symptoms network perspective.

Developing and Implementing a Web-Based Branching Logic Survey to Support Psychiatric Crisis Evaluations of Individuals With Developmental Disabilities: Qualitative Study and Evaluation of Validity.

BACKGROUND: Individuals with developmental disabilities (DD) experience increased rates of emotional and behavioral crises that necessitate assessment and intervention. Psychiatric disorders can contribute to crises; however, screening measures developed for the general population are inadequate for those with DD. Medical conditions can exacerbate crises and merit evaluation. Screening tools using checklist formats, even when designed for DD, are too limited in depth and scope for crisis assessments. The Sources of Distress survey implements a web-based branching logic format to screen for common psychiatric and medical conditions experienced by individuals with DD by querying caregiver knowledge and observations. OBJECTIVE: This paper aims to (1) describe the initial survey development, (2) report on focus group and expert review processes and findings, and (3) present results from the survey's clinical implementation and evaluation of validity. METHODS: Sources of Distress was reviewed by focus groups and clinical experts; this feedback informed survey revisions. The survey was subsequently implemented in clinical settings to augment providers' psychiatric and medical history taking. Informal and formal consults followed the completion of Sources of Distress for a subset of individuals. A records review was performed to identify working diagnoses established during these consults. RESULTS: Focus group members (n=17) expressed positive feedback overall about the survey's content and provided specific recommendations to add categories and items. The survey was completed for 231 individuals with DD in the clinical setting (n=161, 69.7% men and boys; mean age 17.7, SD 10.3; range 2-65 years). Consults were performed for 149 individuals (n=102, 68.5% men and boys; mean age 18.9, SD 10.9 years), generating working diagnoses to compare survey screening results. Sources of Distress accuracy rates were 91% (95% CI 85%-95%) for posttraumatic stress disorder, 87% (95% CI 81%-92%) for anxiety, 87% (95% CI 81%-92%) for episodic expansive mood and bipolar disorder, 82% (95% CI 75%-87%) for psychotic disorder, 79% (95% CI 71%-85%) for unipolar depression, and 76% (95% CI 69%-82%) for attention-deficit/hyperactivity disorder. While no specific survey items or screening algorithm existed for unspecified mood disorder and disruptive mood dysregulation disorder, these conditions were caregiver-reported and working diagnoses for 11.7% (27/231) and 16.8% (25/149) of individuals, respectively. CONCLUSIONS: Caregivers described Sources of Distress as an acceptable tool for sharing their knowledge and insights about individuals with DD who present in crisis. As a screening tool, this survey demonstrates good accuracy. However, better differentiation among mood disorders is needed, including the addition of items and screening algorithm for unspecified mood disorder and disruptive mood dysregulation disorder. Additional validation efforts are necessary to include a more geographically diverse population and reevaluate mood disorder differentiation. Future study is merited to investigate the survey's impact on the psychiatric and medical management of distress in individuals with DD.

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.

Intrarelationships between suboptimal health status and anxiety symptoms: A network analysis.

BACKGROUND: Suboptimal health status is a global public health concern of worldwide academic interest, which is an intermediate health status between health and illness. The purpose of the survey is to investigate the relationship between anxiety statuses and suboptimal health status and to identify the central symptoms and bridge symptoms. METHODS: This study recruited 26,010 participants aged <60 from a cross-sectional study in China in 2022. General Anxiety Disorder-7 (GAD-7) and suboptimal health status short form (SHSQ-9) were used to quantify the levels of anxiety and suboptimal health symptoms, respectively. The network analysis method by the R program was used to judge the central and bridge symptoms. The Network Comparison Test (NCT) was used to investigate the network differences by gender, place of residence, and age in the population. RESULTS: In this survey, the prevalence of anxiety symptoms, SHS, and comorbidities was 50.7 %, 54.8 %, and 38.5 %, respectively. "Decreased responsiveness", "Shortness of breath", "Uncontrollable worry" were the nodes with the highest expected influence. "Irritable", "Exhausted" were the two symptom nodes with the highest expected bridge influence in the network. There were significant differences in network structure among different subgroup networks. LIMITATIONS: Unable to study the causal relationship and dynamic changes among variables. Anxiety and sub-health were self-rated and may be limited by memory bias. CONCLUSIONS: Interventions targeting central symptoms and bridge nodes may be expected to improve suboptimal health status and anxiety in Chinese residents. Researchers can build symptom networks for different populations to capture symptom relationships.

Prevalence and comorbidity of anxiety disorder in school-attending children and adolescents aged 6-16 years in China.

BACKGROUND: The reported prevalence rate of anxiety disorder in the paediatric population varies widely between different counties. Currently, there is no national epidemiological survey of childhood anxiety disorder in China. This study aims to investigate the national prevalence of anxiety disorder, the distribution profiles of different subtypes and its comorbidity rates among school students. METHODS: A nationwide epidemiological survey of mental disorders in school students aged 6-16 years was conducted. Participants were randomly recruited from five provinces in China. The Child Behavior Checklist was used to screen students at high risk for mental disorders. The final diagnosis was made based on the Diagnostic and Statistical Manual-IV. The point prevalence and comorbidity rate of anxiety disorder were calculated, and the difference between age, sex and socioeconomic status groups was also compared. RESULTS: Generalised anxiety disorder (GAD) was the most common anxiety disorder in school-attending children and adolescents, with a prevalence rate of 1.3% (95% CI: 1.2 to 1.3). Separation anxiety and specific phobia were more common in children than in adolescents. Girls had a higher prevalence of panic disorder (0.3% vs 0.2%, χ2=14.6, p<0.001) and agoraphobia (0.9% vs 0.8%, χ2=4.3, p=0.03) than that of boys. We found no significant difference between developed and less developed areas. Girls were more likely to have panic disorder and GAD than boys, with ratios of 2.13:1 and 1.01:1, respectively. The co-occurrence of anxiety disorder and attention-deficit and disruptive behaviour disorder was very common, ranging from 40% to 85%. CONCLUSIONS: Anxiety disorder was prevalent among school students in China, and comorbidity with attention-deficit and disruptive disorder was very common. The data imply that screening for anxiety disorder is needed in school settings. Policies should be adapted to provide psychological services to children and adolescents. A comprehensive assessment is recommended in clinical practice.