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.

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 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.

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 Pediatric Accommodation Scale: Psychometric Evaluation of a Therapist-Report Format

Anxiety disorders are the most common mental health problem in youth, and accommodation is prevalent among youth with anxiety disorders. The Pediatric Accommodation Scale (PAS) is an interview administered by trained evaluators and a parent-report form (PAS-PR) to assess accommodation and its impact. Both have strong psychometric properties including internal consistency, inter-rater reliability, and data supporting construct validity. The present study evaluates the Pediatric Accommodation Scale - Therapist Report (PAS-TR), a therapist-reported version of the PAS-PR. Participants were 90 youth enrolled in cognitive behavioral therapy for anxiety. Therapists completed the PAS-TR over 16 therapy sessions. Internal consistency at baseline, convergent validity, divergent validity, and parent-therapist agreement were evaluated. Results suggest that the PAS-TR has mixed psychometric qualities suggesting that while not strong prior to the initiation of treatment, the PAS-TR may be a useful measure for therapists to rate accommodation as treatment progresses. Implications for assessment, treatment, and research are discussed.

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.

Racial/Ethnic Disparities in Psychiatric Traits and Diagnoses within a Community-based Sample of Children and Youth: Disparités raciales/ethniques dans les traits et diagnostics psychiatriques au sein d'un échantillon communautaire d'enfants et de jeunes

OBJECTIVE

Racial/ethnic disparities in the prevalence of psychiatric disorders have been reported, but have not accounted for the prevalence of the traits that underlie these disorders. Examining rates of diagnoses in relation to traits may yield a clearer understanding of the degree to which racial/ethnic minority youth in Canada differ in their access to care. We sought to examine differences in self/parent-reported rates of diagnoses for obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD) and anxiety disorders after adjusting for differences in trait levels between youth from three racial/ethnic groups: White, South Asian and East Asian.

METHOD

We collected parent or self-reported ratings of OCD, ADHD and anxiety traits and diagnoses for 6- to 17-year-olds from a Canadian general population sample (Spit for Science). We examined racial/ethnic differences in trait levels and the odds of reporting a diagnosis using mixed-effects linear models and logistic regression models.

RESULTS

East Asian (N = 1301) and South Asian (N = 730) youth reported significantly higher levels of OCD and anxiety traits than White youth (N = 6896). East Asian and South Asian youth had significantly lower odds of reporting a diagnosis for OCD (odds ratio [OR]East Asian = 0.08 [0.02, 0.41]; ORSouth Asian = 0.05 [0.00, 0.81]), ADHD (OREast Asian = 0.27 [0.16, 0.45]; ORSouth Asian = 0.09 [0.03, 0.30]) and anxiety (OREast Asian = 0.21 [0.11, 0.39]; ORSouth Asian = 0.12 [0.05, 0.32]) than White youth after accounting for psychiatric trait levels.

CONCLUSIONS

These results suggest a discrepancy between trait levels of OCD, ADHD and anxiety and rates of diagnoses for East Asian and South Asian youth. This discrepancy may be due to increased barriers for ethnically diverse youth to access mental health care. Efforts to understand and mitigate these barriers in Canada are needed.

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.

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.

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.

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.

[Treatment resistance in anxiety disorders-Definition and treatment options]

Treatment resistance in anxiety disorders represents a clinical challenge, contributes to the chronicity of the diseases as well as sequential comorbidities, and is associated with a significant individual and socioeconomic burden. This narrative review presents the operational definition of treatment resistance in anxiety disorders according to international consensus criteria (< 50% reduction in the Hamilton Anxiety Scale, HAM‑A, score or < 50% reduction in the Beck Anxiety Inventory, BAI, score or a clinical global impression-improvement, CGI‑I, score > 2). At least two unsuccessful guideline-based treatment attempts with pharmacological monotherapy or at least one unsuccessful treatment attempt with adequately delivered cognitive behavioral therapy are required. Pharmacotherapeutically, after excluding pseudo-resistance, switching the medication within one class or to another class and augmentation strategies with other antidepressants (mirtazapine, agomelatine), antipsychotics (quetiapine) or anticonvulsants (valproate) are recommended. Psychotherapeutically, third-wave therapies, psychodynamic therapy, systemic therapy and physical exercise can be considered for therapy resistance. In cases of no response to psychotherapy or pharmacotherapy, the respective other form of therapy or a combination of both should be offered. Compounds targeting the glutamatergic and endocannabinoid systems as well as neuropeptides are being tested as potential innovative pharmaceuticals for treatment-resistant anxiety disorders. There is an urgent need for further research to identify predictive markers and mechanisms as well as to develop innovative pharmacological and psychotherapeutic interventions for treatment-resistant anxiety disorders.

Perceived Need for Mental Health Care in a Cohort of Persons With Inflammatory Bowel Disease

BACKGROUND

Psychiatric comorbidity is common in inflammatory bowel disease (IBD) and can negatively affect disease outcomes. We explored the perceived need for mental health care among persons with IBD.

STUDY

Persons with IBD completed self-report questionnaires, including the Hospital Anxiety and Depression Scale (HADS), and reported whether they wanted help with their mood. Each was also assessed using the Structured Clinical Interview for DSM-IV-TR Axis-I Disorders (SCIDs). We used logistic regression analyses to determine factors associated with the perceived need for mental health care.

RESULTS

Of 245 participants, 28% met the criteria for a past diagnosis of depression or anxiety disorder by SCID, and nearly 23% met the criteria for a current diagnosis of depression or anxiety disorder. One-third (n = 74) reported a perceived need for mental health care. Among those meeting criteria for a current SCID diagnosis of depression or anxiety, only 58% reported needing mental health care. Need for mental health care was reported by 79% of persons currently treated for either depression or 71% treated for anxiety. Persons with a perceived need for mental health care had higher mean HADS for depression and HADS for anxiety scores and also higher IBD symptom activity scores. Of those reporting no perceived need for mental health care, 13% had a current diagnosis of depression or anxiety disorder by SCID; even fewer had symptoms of depression or anxiety.

CONCLUSIONS

Symptoms of depression or anxiety are more important than a formal diagnosis of depression or anxiety in predicting which persons with IBD will perceive a need for mental health care.

Prediction of insomnia severity based on early maladaptive schemas: a logistic regression analysis

BACKGROUND

In spite of the major role of early maladaptive schemas in vulnerability to various psychological disorders, studies about the relationship between early maladaptive schemas and insomnia disorder are scarce. Hence, the aim of the current study was to explore the contribution of early maladaptive schemas in insomnia severity by comparing a sample of patients with chronic insomnia and good sleepers.

METHODS

Patients with chronic insomnia and good sleepers were evaluated using Young Schema Questionnaire-Short Form (YSQ-SF), Depression Anxiety and Stress Scale (DASS-21), and Insomnia Severity Index (ISI).

RESULTS

The study enrolled 117 patients with chronic insomnia and 76 good sleepers. All early maladaptive schemas (EMSs) except for enmeshment showed significant correlations with insomnia severity. After controlling for depression/anxiety symptoms, logistic regression analysis showed that the EMSs including emotional deprivation, vulnerability to harm, and subjugation schemas were significantly associated with insomnia severity.

CONCLUSIONS

These preliminary findings suggest that EMSs may constitute a vulnerability factor for developing insomnia. Early maladaptive schemas may require attention in the existing treatments of insomnia.

Do depressive and anxiety symptoms influence the construct validity of Multiple Sclerosis Walking Scale-12 scores?

PURPOSE/OBJECTIVE

Walking dysfunction, depression, and anxiety are prevalent, burdensome, and interrelated outcomes in persons with multiple sclerosis (MS). The 12-item Multiple Sclerosis Walking Scale (MSWS-12) is a common patient-reported outcome (PRO) of walking dysfunction in research and practice involving MS, but the construct validity of its scores might be influenced by symptoms of depression and anxiety. This study examined if symptoms of depression and anxiety influenced the construct validity of MSWS-12 scores.

RESEARCH METHOD/DESIGN

The sample included 189 participants with MS who completed the MSWS-12, Hospital Anxiety and Depression Scale (HADS-Depression subscale [HADS-D] and HADS-Anxiety subscale [HADS-A]), 6-minute walk (6MW), and timed 25-foot walk (T25FW). We conducted bivariate correlation analysis to examine the associations between MSWS-12 scores and both the 6MW and T25FW, while controlling for HADS-D and HADS-A scores.

RESULTS

MSWS-12 scores were significantly correlated with the 6MW (r = -.752), T25FW (r = .694), HADS-D (r = .405), and HADS-A (r = .235). The correlations between MSWS-12 and 6MW (pr = -.725) and T25FW (pr = .685) did not change when controlling for HADS-D and HADS-A scores. The correlations between MSWS-12 and 6MW (r = -.708 and r = -.726) and T25FW (r = .687 and r = .748) were strong in subsamples with elevated HADS-D and HADS-A scores.

CONCLUSIONS/IMPLICATIONS

Our results strengthen the validity evidence for MSWS-12 scores as a PRO of walking dysfunction in MS, including among those with symptoms of depression and anxiety. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Lessons in clinical reasoning - pitfalls, myths, and pearls: a woman brought to a halt

OBJECTIVES

Limitations in human cognition commonly result in clinical reasoning failures that can lead to diagnostic errors. A metacognitive structured reflection on what clinical findings fit and/or do not fit with a diagnosis, as well as how discordance of data can help advance the reasoning process, may reduce such errors.

CASE PRESENTATION

A 60-year-old woman with Hashimoto thyroiditis, diabetes, and generalized anxiety disorder presented with diffuse arthralgias and myalgias. She had been evaluated by physicians of various specialties and undergone multiple modalities of imaging, as well as a electromyography/nerve conduction study (EMG/NCS), leading to diagnoses of fibromyalgia, osteoarthritis, and lumbosacral plexopathy. Despite treatment for these conditions, she experienced persistent functional decline. The only definitive alleviation of her symptoms identified was in the few days following intra-articular steroid injections for osteoarthritis. On presentation to our institution, she appeared fit with a normal BMI. She was a long-time athlete and had been training consistently until her symptoms began. Prediabetes had been diagnosed the year prior and her A1c progressed despite lifestyle modifications and 10 pounds of intentional weight loss. She reported fatigue, intermittent nausea without emesis, and reduced appetite. Examination revealed intact strength and range of motion in both the shoulders and hips, though testing elicited pain. She had symmetric hyperreflexia as well as a slowed, rigid gait. Autoantibody testing revealed strongly positive serum GAD-65 antibodies which were confirmed in the CSF. A diagnosis of stiff-person syndrome was made. She had an incomplete response to first-line therapy with high-dose benzodiazepines. IVIg was initiated with excellent response and symptom resolution.

CONCLUSIONS

Through integrated commentary on the diagnostic reasoning process from clinical reasoning experts, this case underscores the importance of frequent assessment of fit along with explicit explanation of dissonant features in order to avoid misdiagnosis and halt diagnostic inertia. A fishbone diagram is provided to visually demonstrate the major factors that contributed to the diagnostic error. The case discussant demonstrates the power of iterative reasoning, case progression without commitment to a single diagnosis, and the dangers of both explicit and implicit bias. Finally, this case provides clinical teaching points in addition to a pitfall, myth, and pearl specific to overcoming diagnostic inertia.

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.

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 relationship between the Hopkins symptom checklist-10 and diagnoses of anxiety and depression among inpatients with substance use disorders

INTRODUCTION

The Hopkins Symptom Checklist-10 (HSCL-10) is a self-report inventory of anxiety and depression symptoms that may assist clinicians in screening for clinical conditions among patients with substance use disorder (SUD). We examined the HSCL-10 as a screening tool for anxiety and depressive disorders within a general population of SUD inpatients.

METHODS

We used data from a cohort study of 611 SUD inpatients. Receiver operating characteristic (ROC) analyses were conducted, with and without covariates, to evaluate the potential of the HSCL-10 as a screening tool. This was explored using any anxiety disorder, especially posttraumatic stress disorder (PTSD), and any mood disorder, especially major depressive disorders, as the outcome criteria. Candidate covariates included gender, age, education, polydrug use and treatment center.Results: The HSCL-10 had a moderate ability to identify caseness (i.e. having or not having a clinical diagnosis) according to each outcome criterion, with the area under the ROC curve (AUC) varying from 0.64 to 0.66. Adding relevant covariates markedly enhanced the instrument's ability to identify those who met the criteria for any anxiety disorder (AUC = 0.77), especially PTSD (AUC = 0.82).

CONCLUSION

In a real-world clinical setting, the HSCL-10 has fair-to-good clinical utility for identifying SUD inpatients who have comorbid clinical symptoms of anxiety disorders or PTSD, when combined with common background variables. The HSCL-10, a brief self-report screening tool, may serve as an efficient proxy for comprehensive interviews used in research and for clinical anxiety symptom screening among patients with SUD.

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).

[Eco-anxiety: an emerging disorder linked to climate change]

ECO-ANXIETY

AN EMERGING DISORDER LINKED TO CLIMATE CHANGE. Eco-anxiety is the chronic fear of an environmental disaster, particularly in relation to global warming. Emerging in the 1990s, this concern is increasingly developing in all countries, especially among younger generations. It is not currently recognized as a diagnosis in psychiatric classifications, but some people (about 3% of the population) experience significant suffering and symptoms that can impair their quality of life. The role of the physician is then to look for an underlying anxiety or depressive disorder, or to assess the intensity of a possible specific Eco-anxiety Disorder. Treatment is based primarily on psychotherapeutic listening, stress and anxiety management methods, and cognitive behavioral therapy aimed at giving the patient better control over their emotions and means of action.