Content agreement of depressive symptomatology in children and adolescents: a review of eighteen self-report questionnaires.

Identifying major depression in children and adolescents is more challenging than in adults. Questionnaires are often used for screening or guiding clinical assessment. Several instruments of different lengths are used as equivalent measures in diagnostic decisions. In this paper, we explore to what extent 18 commonly used depression scales for children and adolescents explore depression clinical symptoms as established by standard DSM-5 diagnosis criteria. We analyzed scale content adequacy by examining the overlap between scale contents and consensus clinical symptoms, the diagnostic time frame for active symptom assessment, and readability for the target age group. The 18 scales encompassed 52 distinct symptoms. These scales included just 50% of clinical symptoms required for diagnosis. The content overlap was low; on average, 29% of symptoms coincide across scales. Half of the scales did not use the standard period for active symptom appraisal, and some did not include a period for assessment. The reading levels on six scales were inappropriate for the scale's target population age group. The substantial heterogeneity in defining the depressive syndrome, the low overlap among scales, different periods of a positive diagnosis, and mismatch of reading competence for detecting may lead to heterogeneity in clinical diagnoses when using different scales. Improving the content of self-report in terms of homogeneity of diagnostic criteria would lead to better diagnostic decisions and patient management.

Understanding comorbidity of learning disorders: task-dependent estimates of prevalence.

BACKGROUND: Reading disorder (RD) and mathematics disorder (MD) frequently co-occur. However, the exact comorbidity rates differ largely between studies. Given that MD is characterised by high heterogeneity on the symptom level, differences in comorbidity rates may result from different mathematical subskills used to define MD. Comorbidity rates with RD are likely to be higher when MD is measured by mathematical subskills that do not only build on number processing, but also require language (i.e. arithmetic fluency), than when measured by magnitude processing skills. METHODS: The association between literacy, arithmetic fluency and magnitude processing as well as the overlap between deficits in these domains were assessed in a representative sample of 1,454 third Graders. RESULTS: Associations were significantly higher between literacy and arithmetic, than between literacy and magnitude processing. This was also reflected in comorbidity rates: comorbidity rates between literacy and arithmetic deficits were four times higher than expected by chance, whereas comorbidity rates between literacy and magnitude processing deficits did not exceed chance rate. Deficits in the two mathematical subskills showed some overlap, but also revealed dissociations, corroborating the high heterogeneity of MD. Results are interpreted within a multiple-deficit framework and implications for diagnosis and intervention are discussed. CONCLUSIONS: The overlap between RD and MD depends on the subskills used to define MD. Due to shared domain-general factors mathematical subskills that draw on language skills are more strongly associated with literacy than those that do not require language. The findings further indicate that the same symptom, such as deficits in arithmetic, can be associated with different cognitive deficits, a deficit in language skills or a deficit in number processing.

Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is a heterogeneous condition covering many clinical phenotypes in terms of the diversity of symptoms. Patient-based OSA screening questionnaires used in routine practice contain significantly varying contents that can impact the reliability and validity of the screening. We investigated to what extent common patient-based OSA screening questionnaires differ or overlap in their item content by conducting a rigorous, methodical, and quantified content overlap analysis. METHODS: We conducted an item content analysis of 11 OSA screening questionnaires validated in adult populations and characterized their overlap using a 4-step approach: (1) selection of OSA screening questionnaires, (2) item extraction and selection, (3) extraction of symptoms from items, and (4) assessment of content overlap with the Jaccard index (from 0, no overlap, to 1, full overlap). RESULTS: We extracted 72 items that provided 25 distinct symptoms from 11 selected OSA questionnaires. The overlap between them was weak (mean Jaccard index: 0.224; ranging from 0.138 to 0.329). All questionnaires contained symptoms of the "OSA symptom" dimension (eg, snoring or witnessed apneas). The STOP-BANG (0.329) and the Berlin (0.280) questionnaires exhibited the highest overlap content. Ten symptoms (40%) were investigated in only 1 questionnaire. CONCLUSIONS: The heterogeneity of content and the low overlap across these questionnaires reflect the challenges of screening OSA. The different OSA questionnaires potentially capture varying aspects of the disorder, with the risk of biased results in studies. Suggestions are made for better OSA screening and refinement of clinical OSA phenotypes. CITATION: Gauld C, Baillieul S, Martin VP, et al. Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms? J Clin Sleep Med. 2024;20(7):1105-1117.

Symptom overlap in anxiety and multiple sclerosis.

BACKGROUND: The validity of self-rated anxiety inventories in people with multiple sclerosis (pwMS) is unclear. However, the appropriateness of self-reported depression scales has been widely examined. Given somatic symptom overlap between depression and MS, research emphasises caution when using such scales. OBJECTIVE: This study evaluates symptom overlap between anxiety and MS in a group of 33 individuals with MS, using the Beck Anxiety Inventory (BAI). METHODS: Participants underwent a neurological examination and completed the BAI. RESULTS: A novel procedure using hierarchical cluster analysis revealed three distinct symptom clusters. Cluster one ('wobbliness' and 'unsteady') grouped separately from all other BAI items. These symptoms are well-recognised MS-related symptoms and we question whether their endorsement in pwMS can be considered to reflect anxiety. A modified 19-item BAI (mBAI) was created which excludes cluster one items. This removal reduced the number of MS participants considered 'anxious' by 21.21% (low threshold) and altered the level of anxiety severity for a further 27.27%. CONCLUSION: Based on these data, it is suggested that, as with depression measures, researchers and clinicians should exercise caution when using brief screening measures for anxiety in pwMS.

Systematic Item Content and Overlap Analysis of Self-Reported Multiple Sleep Disorder Screening Questionnaires in Adults.

Sleep disorders are defined on the basis of diagnostic criteria presented in medical classifications. However, no consensus has emerged on the exact list of operational symptoms that should be systematically investigated in the field of sleep medicine. We propose a systematic analysis of sleep symptoms that figure in a set of self-reported multiple sleep disorder screening questionnaires for adult populations, to identify the content overlap of symptoms that probe the presence of central sleep symptoms, and to highlight the potential level of heterogeneity among sleep disorder questionnaires. The method comprises three steps: (i) the selection of self-reported multiple sleep disorder screening questionnaires; (ii) item extraction and selection; (iii) the extraction of symptoms from items. Frequency of sleep symptoms and content overlap (Jaccard Index) are analyzed. We extracted 469 items that provide 60 different symptoms from 12 questionnaires. Insomnia, somnolence, and sleep-related breathing symptoms were found in all the questionnaires. The mean overlap among all questionnaires evaluated with the Jaccard Index is 0.44, i.e., moderate similarity. Despite limitations related to the selection of questionnaires and the symptom extraction and harmonization, this study underlines the need to standardize sleep symptom contents for sleep medicine in order to enhance the practicability, reliability, and validity of sleep disorder diagnoses.

Clinical manifestations of EVALI in adolescents before and during the COVID-19 pandemic.

INTRODUCTION: E-cigarette, or vaping, product use-associated lung injury (EVALI) results from inhaling the aerosol of e-cigarettes and has similar clinical features to coronavirus disease 2019 (COVID-19). EVALI case counts since the declaration of the COVID-19 pandemic is unknown. METHODS: A retrospective electronic health record chart review of adolescents hospitalized at one institution with EVALI was conducted. Clinical characteristics and hospital course of patients hospitalized during the pandemic were compared to those prepandemic. RESULTS: The clinical presentation of adolescents hospitalized prior-to (n = 19) and during the COVID-19 pandemic (n = 22) were similar with respect to constitutional, respiratory, and gastrointestinal symptoms. All patients hospitalized during the pandemic were tested for COVID-19 at least once. Only one patient had a positive SARS-CoV-2 RT-PCR test result. Thirty-one out of 39 patients treated with corticosteroids had clinical improvement within 24 h (79%). Patients hospitalized during the pandemic had a shorter median length of stay (5 vs. 7 days, p < 0.01), and were less often discharged with home oxygen (1 vs. 6 patients, p = 0.04). Pulmonary function tests improved pre- to postcorticosteroid treatment and postcorticosteroid to follow-up. CONCLUSIONS: Eliciting a history of vaping in adolescents presenting with constitutional, respiratory, and gastrointestinal symptoms is important to identify EVALI cases, which have continued throughout the COVID-19 pandemic. A shorter length of stay with less need for mechanical ventilation and home oxygen in adolescents hospitalized during the pandemic may reflect increased familiarity with EVALI characteristics. Corticosteroids led to clinical and pulmonary function improvement.

The 68 symptoms of the clinical high risk for psychosis: Low similarity among fourteen screening questionnaires.

The Clinical High Risk for psychosis (CHR) is a heterogeneous condition with multiple symptoms. CHR screening is challenging in routine care, as a wide variety of questionnaires exists. We propose to explore the extent to which these questionnaires differ or overlap in item content. We performed a systematic and quantitative analysis of item content in a set of widely-used CHR screening questionnaires. Items were extracted from questionnaires and reworded according to the Structured Interview for Psychosis-Risk Syndromes (SIPS). Then, symptoms were generated from individual items. The Jaccard Index was calculated to assess content overlap. The 14 analysed questionnaires were composed of 347 items, from which 198 symptoms were generated and, in turn, collapsed into 68 distinct symptoms. Positive symptoms were the most commonly represented. The overall overlap across questionnaires showed weak similarity (Jaccard = 0.19±0.50). CHR screening questionnaires might evaluate the same broad clinical construct, but have different scopes within that construct, and may be more or less comprehensive than one another. Clinicians and researchers should be mindful of the specific features of each instrument for optimal CHR screening.

Content analysis of insomnia questionnaires: A step to better evaluate the complex and multifaceted construct of insomnia disorder.

Insomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions ("Insomnia symptoms", "Insomnia-related symptoms", "Daytime symptoms", "Insomnia-related impairments", "Sleep behaviors"). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.

How soft are neurological soft signs? Content overlap analysis of 71 symptoms among seven most commonly used neurological soft signs scales.

INTRODUCTION: Neurological soft signs (NSS) are described as subtle, non-localizable neurological abnormalities that cannot be related to impairment of a specific brain region or are not believed to be typical for any specific neurological disease. Crucial issue concerning research on NSS are the instruments with which they are assessed, since the results and the conclusions of the studies are mediated by the characteristics of such instruments. There is common, silent and unverified assumption that NSS rating scales may be used as interchangeable measure of the same phenomenon. AIM: To investigate the differences in item content and the interchangeability of commonly used NSS scales. METHODS: A content analysis was carried out to determine symptom overlap among the chosen seven most often used scales using the Jaccard index (0 = no overlap, 1 = full overlap) according to the methodology of Fried 2017. RESULTS: 71 NSSs were distinguished from 167 items used in 7 above mentioned instruments. Mean overlap among all scales is low (0.27), overlap among specific scales ranges from 0.1 to 0.5. CONCLUSIONS: The diversity of NSS in analyzed tools causes the low overlap between scales, leading to uncertainty as to whether they measure the same phenomena. This limits the reproducibility of studies and impedes the possibility of unifying the knowledge stemming from existing data. We argue that the non-localizable nature of NSS is yet to be examined.

Autism Spectrum Disorder and Schizophrenia Are Better Differentiated by Positive Symptoms Than Negative Symptoms.

Autism spectrum disorder (ASD) and schizophrenia (SZ) are heterogenous neurodevelopmental disorders that overlap in symptom presentation. The purpose of this study was to specify overlapping symptom domains and to identify symptoms that can reliably differentiate adults with ASD (n = 53), SZ (n = 39), and typical development (TD; n = 40). All participants regardless of diagnosis were administered gold-standard diagnostic assessments of ASD and SZ characteristics including the Autism Diagnostic Observation Schedule (ADOS-2) and the Positive and Negative Syndrome Scale (PANSS). Sensitivity and specificity of the ADOS were assessed using diagnostic cut-off scores. The degree of symptom overlap on these measures between participant groups was analyzed using Analyses of Variance (ANOVAs), Receiver Operating Characteristic (ROC) Curves, and Analyses of Covariance (ANCOVAs) to control for group differences in IQ and sex distributions. The ADOS reliably discriminated ASD and TD adults, but there was a high rate of "false positives" in SZ patients who did not meet the DSM-5 criteria for ASD. To identify the reasons for low specificity in the SZ sample, we categorized ASD and SZ symptoms into 'positive' (presence of atypical behaviors) and 'negative' (absence of typical behaviors) symptoms. ASD and SZ groups overlapped on negative symptoms largely related to the absence of typical social and communicative behaviors, whereas disorder-specific positive symptoms differentiated ASD and SZ. For example, those with ASD scored higher on restricted and repetitive behaviors and stereotyped language, whereas those with SZ scored higher on psychotic symptoms such as delusions and hallucinations. These results suggest that, when making a differential diagnosis between ASD and SZ, clinicians may benefit from focusing on the presence or absence of positive ASD and SZ symptoms. Standardized measures to classify ASD symptoms into positive and negative symptoms have not yet been developed but represent a potentially viable clinical tool.

The overlap between OCD and PTSD: Examining self-reported symptom differentiation.

The role of stressful precipitating events has long been recognized in the genesis of obsessive-compulsive disorder (OCD). Posttraumatic stress disorder (PTSD) also necessitates the experience of a traumatic event (PTSD criterion A). Research has demonstrated a high degree of comorbidity between these two conditions. However, few studies have examined symptom overlap as a potential cause for this co-occurrence. Thus, the purpose of the present study was to examine symptom endorsement and overlap between OCD and PTSD using a sample of trauma exposed veterans. Veterans were administered self-report assessments, including the Dimensional Obsessive-Compulsive Scale (DOCS) and the PTSD Checklist for DSM-5 (PCL-5), as part of a routine clinical care at a Veteran's Administration hospital. Based on self-report assessment of clinical cut scores, 81% of participants met for probable PTSD and 74% for probable OCD. In addition, a series of chi square analyses revealed frequent overlap of endorsement across items with similar content. There is significant overlap between PTSD and OCD symptoms, and patients may find it difficult to differentiate between them on self-report measures. As such, caution should be used when using self-report solely to assess PTSD and OCD, particularly in traumatized samples.

Content overlap analysis of 64 (hypo)mania symptoms among seven common rating scales.

OBJECTIVES: Fried () quantified the overlap of items among seven widely used depression rating scales. The analysis revealed substantial heterogeneity of the depressive syndromes and a low overlap among the scales. To our best knowledge, there are no studies evaluating the content overlap of (hypo)mania scales. The goal of our study, therefore, is to quantify the overlap of items among seven widely used (hypo)manic scales, implementing the methodology developed by Fried (). METHODS: Seven commonly used (hypo)manic scales underwent content analysis. Symptom overlap was evaluated with the use of the Jaccard index (0 = no overlap, 1 = full overlap). In case of every scale, rates of idiosyncratic symptoms and rates of specific versus compound symptoms were calculated. RESULTS: The seven scales gathered 64 hypo(manic) symptoms. The mean overlap among all of the instruments was low (0.35), the mean overlap of each scale with all others ranged from 0.29 to 0.48, and the overlap among individual scales ranged from 0.20 to 0.65. Thirty-six percent of symptoms appeared only on one scale. Only 6% of the symptoms appeared on all of the instruments. CONCLUSIONS: We have shown that using (hypo)manic scales as interchangeable measurements may be problematic.

The 52 symptoms of major depression: Lack of content overlap among seven common depression scales.

BACKGROUND: Depression severity is assessed in numerous research disciplines, ranging from the social sciences to genetics, and used as a dependent variable, predictor, covariate, or to enroll participants. The routine practice is to assess depression severity with one particular depression scale, and draw conclusions about depression in general, relying on the assumption that scales are interchangeable measures of depression. The present paper investigates to which degree 7 common depression scales differ in their item content and generalizability. METHODS: A content analysis is carried out to determine symptom overlap among the 7 scales via the Jaccard index (0=no overlap, 1=full overlap). Per scale, rates of idiosyncratic symptoms, and rates of specific vs. compound symptoms, are computed. RESULTS: The 7 instruments encompass 52 disparate symptoms. Mean overlap among all scales is low (0.36), mean overlap of each scale with all others ranges from 0.27 to 0.40, overlap among individual scales from 0.26 to 0.61. Symptoms feature across a mean of 3 scales, 40% of the symptoms appear in only a single scale, 12% across all instruments. Scales differ regarding their rates of idiosyncratic symptoms (0-33%) and compound symptoms (22-90%). LIMITATIONS: Future studies analyzing more and different scales will be required to obtain a better estimate of the number of depression symptoms; the present content analysis was carried out conservatively and likely underestimates heterogeneity across the 7 scales. CONCLUSION: The substantial heterogeneity of the depressive syndrome and low overlap among scales may lead to research results idiosyncratic to particular scales used, posing a threat to the replicability and generalizability of depression research. Implications and future research opportunities are discussed.

Depression in advanced cancer--assessment challenges and associations with disease load.

BACKGROUND: Patients with advanced cancer commonly experience multiple somatic symptoms and declining functioning. Some highly prevalent symptoms also overlap with diagnostic symptom-criteria of depression. Thus, assessing depression in these patients can be challenging. We therefore investigated 1) the effect of different scoring-methods of depressive symptoms on detecting depression, and 2) the relationship between disease load and depression amongst patients with advanced cancer. METHODS: The sample included 969 patients in the European Palliative Care Research Collaborative-Computer Symptom Assessment Study (EPCRC-CSA). Inclusion criteria were: incurable metastatic/locally advanced cancer and ≥ 18 years. Biomarkers and length of survival were registered from patient-records. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and applying three scoring-methods: inclusive (algorithm scoring including the somatic symptom-criteria), exclusive (algorithm scoring excluding the somatic symptom-criteria) and sum-score (sum of all symptoms with a cut-off ≥ 8). RESULTS: Depression prevalence rates varied according to scoring-method: inclusive 13.7%, exclusive 14.9% and sum-score 45.3%. Agreement between the algorithm scoring-methods was excellent (Kappa = 0.81), but low between the inclusive and sum scoring-methods (Kappa = 0.32). Depression was significantly associated with more pain (OR-range: 1.09-1.19, p < 0.001-0.04) and lower performance status (KPS-score, OR-range = 0.68-0.72, p < 0.001) irrespective of scoring-method. LIMITATIONS: Depression was assessed using self-report, not clinical interviews. CONCLUSIONS: The scoring-method, not excluding somatic symptoms, had the greatest effect on assessment outcomes. Increasing pain and poorer than expected physical condition should alert clinicians to possible co-morbid depression. The large discrepancy in prevalence rates between scoring-methods reinforces the need for consensus and validation of depression definitions and assessment in populations with high disease load.

The relationship between insomnia and depressive symptoms: genuine or artifact?

BACKGROUND: Somatic symptom overlap between depression and insomnia has emerged as a major concern. Self-report measures such as the Beck Depression Inventory Second Edition (BDI-II) include somatic symptoms related to depression that are also present in the research diagnostic criteria for insomnia. This study aimed firstly to examine the relationship between the cognitive and somatic factors of the BDI-II and global scores on the Pittsburgh Sleep Quality Index (PSQI) in individuals presenting for insomnia treatment and secondly to examine whether treating insomnia in depressed individuals with insomnia will lead to a reduction in their depressive symptoms and whether this reduction is related to a decrease in the somatic or cognitive factors of depressive symptoms. METHODS: A total of 379 individuals (133 males and 246 females), with a mean (M) age of 49.95 (standard deviation [SD] = 14.15) years, were used to address the first aim. To address the second aim, a total of 64 participants (27 males and 37 females) with both insomnia and depressive symptoms were treated for their insomnia. Their ages ranged between 22 and 87 (M = 50.97, SD = 15.13) years. RESULTS: A significant relationship was found between both the cognitive and somatic factors of the BDI-II and global scores on the PSQI. Furthermore, although results in this study are only suggestive, they lend support to the idea that the relationship between insomnia and depression is not due to somatic symptom overlap. Results may also support the hypothesis that insomnia is primary to the presentation of depressive symptoms. CONCLUSION: Clinicians and health care providers could initially treat insomnia in individuals suffering from insomnia who also experience depressive symptoms, as this will not only remit insomnia but also abate the accompanying depressive symptoms.