Dimensions Of Depression Research Articles

Relationships Between Eating Disorders, Depression and Suicidal Tendencies Among Adolescent Girls from Arab Society

This study aimed to find the possible links between eating disorders among adolescents and the dimensions of depression and suicidal tendencies, as reported by them. The sample consisted of 200 adolescents from Arab society in the north of Israel. The research tools included a socio-demographic questionnaire; the Eating Attitudes and Behaviors Questionnaire; the Beck Depression Inventory; and the Multidimensional Suicidal Tendencies Questionnaire for Adolescents. Findings suggest a positive relationship between eating disorders and depression and suicidal dimensions among female adolescents, and a significant relationship between eating disorders and the attraction and repulsion toward life. In addition, female adolescents reported very high levels of attraction to life and repulsion to death; namely, participants reported very low levels of attraction to death and medium-scale repulsion to life. A positive relationship was also found between the dimensions of depression and suicidal tendencies among the participants. Additional findings indicate that underachiever adolescents reported lower levels of depression and higher levels of attraction to life, compared with the average achievement teenagers. The obvious conclusion is that, since depression is the main predictor of suicidal tendencies among teenagers, rather than focusing on the consequences of depression, we should focus on the causes of depression and treat them.

Symptom Checklist-90-Revised: Factor structure and relevance as a measure for the Hierarchical Taxonomy of Psychopathology model

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a recently proposed dimensional model of psychopathology that aims to provide a more comprehensive understanding of the organization of mental disorders. The Symptom Checklist-90-Revised (SCL-90-R) is a widely used self-report questionnaire that assesses nine broad dimensions of psychopathologies. The current study reexamined the optimum factor structure of the SCL-90-R (first aim), and its usefulness for the assessment of psychological dimensions from a HiTOP perspective (second aim). These were examined in a community sample of adolescents from Cyprus. A total of 839 adolescents (males = 352, females = 485; no response = 2) with ages ranging from 14 to 18 years [mean (SD) = 15.52 years (0.64 years)] completed the SCL-90-R and the Fünf-Faktoren-Fragebogen für Kinder (FFFK), a personality measure of the Five-Factor Model of personality. Relevant to the first aim, the findings showed the most support for an exploratory structural equal model, with the nine theorized SCL-90-R factors/dimensions. Relevant to the second aim, the SCL-90 dimensions of somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, and phobic anxiety were associated with the five factors in the FFFK as theoretically predicated by the HiTOP model. The SCL-90-R dimensions for paranoid ideation and psychoticism did not. The findings indicated reasonable support for the theorized nine-factor SCL-90 model; and the use of the SCL-90-R dimension scales of somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, and phobic anxiety for measuring the dimensions with similar names in the HiTOP model.

164. Identifying Brain-Clinical Dimensions in Major Depression Using Contrastive Connectivity Analysis

164. Identifying Brain-Clinical Dimensions in Major Depression Using Contrastive Connectivity Analysis

Longitudinal mediation effect of hassles between neuroticism and dimensions of the tripartite model in college students.

This study addresses a gap in the literature by exploring the longitudinal effects of hassles in mediating the relationship between neuroticism and the tripartite model of depression and anxiety. The research investigates these associations in a large sample of university students, utilising baseline and 6-month follow-up data. Initial assessments involved participants completing measures for neuroticism, depression and anxiety symptoms, and the occurrence of stress, followed by monthly assessments of stress, anxiety symptom and mood symptoms over a 6-month period. Our results illuminate the mediating role of daily hassles in the relationship between neuroticism and various dimensions of anxiety and depression, including general distress, specific depression, and anxiety symptoms. These findings underscore the significant impact of neuroticism and hassles on a broad spectrum of mood symptoms, offering valuable insights for both research and clinical practice. Discussions around the implications of these findings are provided in the our paper, where we also outline potential directions for future research and clinical applications.

The relationship between attachment and depression among college students: the mediating role of perfectionism.

Explore the relationship between adult attachment and depression among college students, and the mechanism of perfectionism. Questionnaire survey. A questionnaire survey was conducted nationwide, totally 313 valid questionnaires were received. The survey collected information such as adult attachment (Adult Attachment Scale, AAS), depression (The Center for Epidemiologic Studies Depression Scale, CESD), and perfectionism (The Frost Multidimensional Perfectionism Scale, FMPS). Then used SPSS26.0 to analyze the collected data. There were significant differences in perfectionism and depression between secure attachment and insecure attachment in college students. Perfectionism plays a partial mediating role in the relationship between the close-depend composite dimension, anxiety dimension of attachment and depression. The closeness-dependence dimension of attachment significantly and negatively predicted perfectionism and depression; the anxiety dimension of attachment significantly and positively predicted perfectionism and depression; and perfectionism partially mediated the effect of both the closeness-dependence dimension of attachment on depression and the anxiety dimension of attachment on depression. Attachment can directly affect college students' depression, but also indirectly through perfectionism.

A longitudinal investigation of the cross-dimensional mediating role of negative life events between neuroticism and depressive symptoms in adolescents

BackgroundNeuroticism has been identified as a significant predictor for depression within the adolescent population However, few longitudinal studies have investigated this association and explored the mediation effect of the negative life events. This study aimed to examine the longitudinal association between neuroticism, negative life events, and depression in a large sample of Chinese adolescents. MethodsData on Five Factor Inventory-Neuroticism Subscale (FFI-N) was collected from 1150 participants aged 14–19 years old at baseline, and data on Adolescent Life Event Questionnaire (ALEQ) and Center of Epidemiological Study-Depression (CES-D) were collected both at baseline and 6-month follow-up. Multilevel modelings were used to analyze the longitudinal associations among neuroticism, negative life events and depression. ResultsThrough a longitudinal study design, results from multilevel regression analyses indicated a direct correlation between increased levels of neuroticism and the aggregation of negative life events with the prediction of more severe depressive symptoms. Further, results of multilevel mediations suggested that the negative life events served to partially mediate the relationship between neuroticism and each dimension of depression. LimitationsThe results cannot be used to make a clinical diagnosis. ConclusionThe current findings suggest the negative life events as a cross-dimensional mediator in the relationship between neuroticism and each dimension of depression. Regulating neuroticism levels and implementing strategies to coping stress derived from daily life events could be integral approaches to reducing the prevalence of depression within the adolescent population.

The factor structure the PHQ-9 in Russian patients recovered from COVID-19

IntroductionThe nine-item Patient Health Questionnaire-9 (PHQ-9) is the first choice for screening for depression in primary care and other medical settings. The PHQ-9 has been shown to be a reliable and valid measure of depression symptoms, but there is disagreement among researchers about the factor structure of this questionnaire. Recent systematic reviews have found four different factor models of the PHQ-9, with one- and two-factor models being the most common. This discrepancy may be due to linguistic, cultural and clinical differences between the populations studied. The factor structure of the Russian version of the PHQ-9 during the COVID-19 pandemic has not been examined in any study to date.ObjectivesThe aim of our study was to determine the factorial structure and internal consistency of the Russian version of the PHQ-9 in COVID-19 survivors.MethodsFourteen thousand 725 (female - 11479 (78.0%), age - 18-79 years (M - 47.09, SD - 12.70) participants completed an online survey including the PHQ-9 and an ad hoc questionnaire focusing on sociodemographic and COVID-related characteristics. McDonald’s omega coefficient was estimated to determine the internal consistency of the questionnaire. Exploratory structural equation modelling (ESEM) with weighted least squares mean and variance adjusted estimator and geomin rotation was performed in Mplus 7.ResultsESEM provided evidence for a three-factor structure of the PHQ-9, representing affective (items 2, 6, 9), anergic (items 1, 3) and somatic (items 3, 5, 7, 8) dimensions of depression. These factors fit the data well (CFI - 0.998; TLI - 0.994; RMSEA (95% CI) - 0.028 (0.024 - 0.032)), better than a single factor (CFI - 0. 955; TLI - 0. 940; RMSEA (95% CI) - 0.089 (0.087 - 0.092)) and two-factor (CFI - 0.985; TLI - 0.971; RMSEA (95% CI) - 0.062 (0.059 - 0.065)). The McDonald’s omega was 0.82.ConclusionsOur study revealed a three-factor structure of the Russian version of the PHQ-9 in COVID-19 survivors. COVID-19. A high internal consistency of the Russian version of the instrument was confirmed.Disclosure of InterestNone Declared

The relationship between depression and overall, general psychopathology, positive, and negative symptoms in people with schizophrenia spectrum disorders: a cross-sectional study

IntroductionDepressive symptoms are a common occurrence in people suffering from schizophrenia spectrum disorders (SSDs), representing a separate domain that interacts in peculiar ways with positive and negative symptoms. Nonetheless, available evidence on the relationship between depression and key clinical dimensions of SSDs is limited.ObjectivesTo increase the knowledge regarding depression in SSDs, we performed a cross-sectional study aimed to investigate the association of depressive symptoms with overall, general psychopathology, positive, and negative symptoms in individuals with SSDs.MethodsAdult people with SSDs were recruited from two psychiatric inpatient units in the northern area of the Metropolitan City of Milan from May 2020 to March 2023. Study participants with a Calgary Depression Scale for Schizophrenia score >6 were rated as depressed. Symptom severity was assessed by using the Positive and Negative Syndrome Scale (PANSS). Variables associated with depression at the univariate level were included into two multiple logistic regression models to analyse the association between depression and PANSS overall score as well as General Psychopathology, Positive, and Negative sub-scores.ResultsA total of 231 subjects with SSDs were included. Among them, approximately one third (N=78; 33.8%) reported depressive symptoms. Multiple logistic regression models suggested that depression in individiuals with SSDs was associated with higher overall (p<0.001) and General Psychopathology (p<0.001) PANSS scores. Conversely, an inverse relationship between depression and positive symptoms was found (p=0.002). Negative symptoms were not associated with depression (p=0.210).ConclusionsOur findings suggest that people affected by comorbid SSDs and depression have more severe overall and General Psychopathology symptoms according to PANSS scores, as well as lower levels of positive symptoms. Further investigations are needed to evaluate the generalisability of these findings and to improve the clinical management of people with SSDs and depression.Disclosure of InterestNone Declared

Mental well-being of Tunisian COVID-19 survivors: a cohort study

IntroductionCOVID-19 affected humankind worldwide in different aspects of life. Survivors still report the effects of the pandemic on daily life, physical health, and mental health.ObjectivesTo assess effects of the pandemic on the mood and the quality of life of the survivors.MethodsWe conducted a prospective cohort study including 121 Tunisian COVID-19 inpatients who had been discharged alive from hospital. Each enrolled patient was asked about the period before the hospital stay, and the 6-9 month-period after hospital discharge, using several scales: the validated Arabic version of “Patient Health Questionnaire” (PHQ-9) to screen for depressive symptoms, and “EuroQol five-dimension three-level” (EQ-5D-3L) to assess the quality of life.ResultsThe median age of participants was 59 years, with extreme values ranging from 18 to 80. Among them, 51.2% were females. As compared with baseline statue of patients, the depressive dimension assessed through PHQ was significantly impaired (7.05 vs 1.12; p<0.001). The different dimensions of the EQ-5D-3L showed significant deterioration in mean scores (mobility:1.09 vs 1.31, p<0.001; selfcare:1 vs 1.11, p=0.001; daily activities:1.09 vs 1.49, p<0.001; pain and disturbance: 1.17 vs1.49, p<0.0005 and anxiety and depression: 1.07 vs 1.57, p<0.001). Depressive symptoms were 10 times more frequent in post-COVID (57.9% vs 5.7%). The post-COVID PHQ-9 score was correlated with the post-COVID EQ-5D-3L score (p=0.033).ConclusionsThis study points out the long-term impact of the COVID infection. Therefore, the clinician should screen for possible psychological distress even after resolution of the disease, in order to guarantee a better quality of life.Disclosure of InterestNone Declared

Neurocognition and brain functional connectivity in a non-clinical population-based sample with psychotic experiences

We characterized the neurocognitive profile of communed-based individuals and unaffected siblings of patients with psychosis from Brazil reporting psychotic experiences (PEs). We also analyzed associations between PEs and the intra and inter-functional connectivity (FC) in the Default Mode Network (DMN), the Fronto-Parietal Network (FPN) and the Salience Network (SN) measured by functional magnetic resonance imaging. The combined sample of communed-based individuals and unaffected siblings of patients with psychosis comprised 417 (neurocognition) and 85 (FC) volunteers who were divided as having low (<75th percentile) and high (≥75th percentile) PEs (positive, negative, and depressive dimensions) assessed by the Community Assessment of Psychic Experiences. The neurocognitive profile and the estimated current brief intellectual quotient (IQ) were assessed using the digit symbol (processing speed), arithmetic (working memory), block design (visual learning) and information (verbal learning) subtests of Wechsler Adult Intelligence Scale-third edition. Logistic regression models were performed for neurocognitive analysis. For neuroimaging, we used the CONN toolbox to assess FC between the specified regions, and ROI-to-ROI analysis. In the combined sample, high PEs (all dimensions) were related to lower processing speed performance. High negative PEs were related to poor visual learning performance and lower IQ, while high depressive PEs were associated with poor working memory performance. Those with high negative PEs presented FPN hypoconnectivity between the right and left lateral prefrontal cortex. There were no associations between PEs and the DMN and SN FC. Brazilian individuals with high PEs showed neurocognitive impairments like those living in wealthier countries. Hypoconnectivity in the FPN in a community sample with high PEs is coherent with the hypothesis of functional dysconnectivity in schizophrenia.

Transdiagnostic dimensions of symptoms and experiences associated with immune proteins in the continuity of psychosis.

There is limited evidence as to whether the immune protein profile is associated with a particular symptomatology pattern across the psychosis continuum. We estimated two bifactor models of general and specific dimensions of psychotic experiences in unaffected siblings of patients (n = 52) and community controls (n = 200), and of psychotic symptoms in first-episode psychosis (FEP) patients (n = 110). We evaluated associations between these transdiagnostic dimensions and trait (TNF-α, IFN-γ), state (IL-6, IL-1β), and regulatory (TGF-β, IL-10, IL-4) cytokines. We explored whether schizophrenia genetic liability (schizophrenia polygenic risk score; SZ-PRS) modified the associations. High levels of trait marker IFN-γ were associated with the severity of general psychosis dimension in the unaffected siblings and community controls, expanding to the depressive dimension in siblings and to the manic dimension in FEP. High TNF-α levels were associated with more positive psychotic experiences in unaffected siblings and manic symptoms in FEP. Low levels of state markers IL-6 and IL-1β were observed in unaffected siblings presenting more depressive experiences. Still, high levels of IL-6 and IL-1β were associated with the severity of the depressive and negative symptom dimensions at FEP. The severity of transdiagnostic dimension scores across the three groups was associated with lower regulatory cytokines. Exploratory analysis suggested that a high SZ-PRS contributed mostly to associations with psychotic dimensions. IFN-γ mapped onto the multidimensional expression of psychosis, reinforcing the trait concept. State markers IL-6 and IL-1β may fluctuate along the spectrum. Dysfunction in the regulatory arm may disinhibit the inflammatory system. Associations with psychotic dimensions may be more prone to SZ-PRS susceptibility.

Impact of post-COVID-19 olfactory disorders on quality of life, hedonic experiences and psychiatric dimensions in general population

Background and objectiveOlfactory disorders in COVID-19 impact quality of life and may lead to psychological impairments. Prevalence ranges from 8 to 85%, persisting in about 30% of cases. This study aimed to evaluate the 6-month post-COVID-19 impact on quality of life, hedonic experiences, anxiety and depression due to olfactory disorders. Additionally, it sought to compare psychophysical tests and self-perceived olfactory evaluations.MethodsA prospective, longitudinal study was conducted over baseline (T0) and 6 months (T1) on individuals with persistent olfactory disorders post-COVID-19 for more than 6 weeks. Psychophysical tests employed the Sniffin’ Sticks Test® (TDI score), and self-perceived olfactory evaluation used a Visual Analogue Scale. Quality of life was assessed with an Olfactive Disorder Questionnaire and the French version of the Quality of Life and Diet Questionnaire. Hedonic experiences were gauged using the Snaith-Hamilton Pleasure Scale, while anxiety and depression dimensions were measured by The State-Trait Anxiety Inventory, The Post Traumatic Stress Checklist Scale, and Hamilton Rating Scale for Depression. Participants were classified into the “normosmic group” (NG) and the “olfactory disorders group” (ODG) at T0 and T1 based on the TDI score.ResultsWere included 56 participants (58.93% women, 41.07% men) with a mean age of 39.04 years and a mean duration of post-COVID-19 olfactory disorders of 5.32 months. At T1, ODG had a significantly lower quality of life and hedonic experiences than NG. No significant differences in anxiety and depression dimensions were observed between groups. At T0, psychophysical tests and self-perceived olfactory evaluations were significantly correlated with quality of life and hedonic experiences in both groups. At T1, self-perceived olfactory evaluation in NG correlated significantly with quality of life, hedonic experiences, anxiety and depression dimensions, whereas ODG only correlated with hedonic experiences.ConclusionIndividuals with persistent post-COVID-19 olfactory disorders after six months demonstrated compromised quality of life and hedonic experiences. Self-perceived olfactory evaluation played a more significant role in influencing quality of life and the dimension of anxiety and depression than the psychophysical presence of olfactory disorders. These findings emphasize the importance of considering patients’ perceptions to comprehensively assess the impact of olfactory disorders on their well-being.Trial registrationClinicalTrials.gov number (ID: NCT04799977).

Perceived social support mediates the effect of COVID-19 pandemic on job adaptation disorders of workers: An exploratory cross-sectional study.

COVID-19 lockdown can lead to job adaptation disorders, which are heterogeneous among individuals. The purpose of this study was to explore the association between perceived social support and job adaptation disorders among workers in China during the COVID-19 pandemic. The questionnaires of Psychological Questionnaire for Public Health Emergencies, Multidimensional Scale of Perceived Social Support, Work Attitude Scale were used for this cross-section study via an online survey. The study included 626 employees. Hierarchical regression analysis and Bootstrap method were used to investigate the mediation effect of perceived social support between the emergency and job adaptation disorders. The percentages of the 5 dimensions of depression, neurasthenia, fear, compulsion-anxiety, and hypochondria in workers were 59.7%, 56.1%, 92.3%, 42.0%, and 18.7%, respectively. Social support mediated the relationship between depression, neurasthenia, obsessive-compulsive anxiety and job adaptation disorder, accounting for 18.1%, 16.1%, and 17.5% of the total effect (ab/c), respectively. Perceived social support could alleviate COVID-19 pandemic-related depression, neurasthenia, compulsion-anxiety, and job adaptation disorder in Chinese workers. Improving their perception of social support, workers may better adapt themselves to work in the challenging of the public health emergency during COVID-19 pandemic.

Speech markers of depression dimensions across cognitive status.

Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification. We investigated associations between emotion-based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal-apathy-vigor (WAV), anxiety, hopelessness, and subjective memory complaint). Higher WAV was associated with more negative valence (estimate=-0.133, p=0.030). While interactions of apolipoprotein E (APOE) 4 status with depression dimensions on emotional valence did not reach significance, there was a trend for more negative valence with higher dysphoria in those with at least one APOE4 allele (estimate=-0.404, p=0.0846). Associations were similar irrespective of dementia severity. Our study underscores the potential utility of speech biomarkers in characterizing depression dimensions. In future research, using emotionally charged stimuli may enhance emotional measure elicitation. The role of APOE on the interaction of speech markers and depression dimensions warrants further exploration with greater sample sizes. Participants reporting higher apathy used more negative words to describe a neutral picture.Those with higher dysphoria and at least one APOE4 allele also tended to use more negative words.Our results suggest the potential use of speech biomarkers in characterizing depression dimensions.

New Psychometric Strategies for the Evaluation of Affective, Cognitive, and Psychosocial Functioning in Unipolar versus Bipolar Depression: Impact of Drug Treatment.

Different studies have been conducted to understand how patients with unipolar and bipolar depression differ in terms of cognitive and affective symptoms as well as in psychosocial function. Furthermore, the impact of antidepressants, second-generation antipsychotics, and mood stabilizers on these dimensions needs to be characterized, as well as the best psychometric approach to measure changes after pharmacological treatment. This study aims to analyze the impact of psychotropic drugs on cognitive, affective, and psychosocial functioning in MDD and BD patients; to test the sensitivity of psychometric tools for measuring those changes; also, to understand how psychosocial abilities are associated with affective and cognitive dimensions in patients with MDD and BD. A total of 22 patients with MDD and 21 patients with BD in the depressive phase were recruited. Several psychometric tests were administered to assess affective, cognitive, and psychosocial symptoms before and after 12 weeks of drug treatment (T0 and T1) with different psychotropic drugs including second-generation antidepressants, second-generation antipsychotics and mood stabilizers (lamotrigine). MDD patients showed significant improvement in MoCA, Delayed Recall of Rey's 15 Words and HDRS, while a significant worsening was detected on Digit Span Backwards and on FAST scores. Instead, patients with BD showed significant improvements in the MoCA as the MDD patients, but only a trend of improvement (non-statistically significant) on the BDI-II. A positive correlation was detected in both groups between FAST and HDRS and BDI-II scores, especially in BD patients. Our results demonstrate that drug treatment with psychotropic drugs can improve cognitive and affective symptoms, but not all psychometric tools may be equally sensitive to detect those changes in MDD vs. BD patients. Moreover, we found that affective and cognitive dimensions can be considered as different psychopathological dimensions both in unipolar and bipolar depression.

A network approach to investigating the inter-relationship between health-related quality of life dimensions and depression in 1735 Chinese patients with heterogeneous cancers.

We aimed to explore the inter-connection between depression and HRQOL dimensions in cancer patients using a network approach, which might provide new insights for precise interventions to improve cancer patients' overall HRQOL. Between June 1, 2016, and August 31, 2017, a total of 1735 eligible patients with heterogeneous types of cancer were recruited. The Zung Self-Rating Depression Scale (SDS) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) were used to measure patients' depression status and HRQOL, respectively. A regularized partial correlation network was established. Central and bridge symptoms/functions were identified using expected influence and bridge expected influence. A directed acyclic graph (DAG) was used to explore the possible causal relationship between depression and HRQOL dimensions. In this study, depression and 15 dimensions of the EORTC-QLQ-C30 scale were highly inter-correlated and could be represented as a network. We found that nearly two-thirds of cancer patients experienced various degrees of depression, and depression was consistently the central symptom in the network, in addition to nausea/vomiting, pain, and physical function. DAG and bridge symptoms indicated that depression might influence overall HRQOL in cancer patients mainly through emotional function, pain, physical function, and sleeplessness, particularly in cancer patients with moderate-to-severe depression. The disparity in network structures between mild and moderate-to-severe depression suggested that the relationship between depression and HRQOL dimensions might be bidirectional. The prevalence of depression remained high in Chinese patients with cancer, and depression may influence various symptoms and functions within the HRQOL network. Screening and early treatment of depression were warranted to improve the overall HRQOL of cancer patients, in addition to adequate treatment of pain and nausea/vomiting and improvement in physical function.

Personality traits predict treatment outcome of an antidepressant in untreated adolescents with depression: An 8-week, open-label, flexible-dose study

BackgroundAntidepressant response in adults with major depressive disorder (MDD) is probably influenced by personality dimensions. However, personality dimensions in depression and their association with antidepressant treatment in adolescents are relatively unknown. We sought to investigate whether personality traits (PTs) can influence antidepressant treatment response in adolescents with depression. MethodsEighty-two adolescents with MDD who had completed the 8 weeks of treatment with selective serotonin reuptake inhibitors (SSRI) were enrolled. The Revised NEO Five-Factor Inventory (NEO-FFI-R) was used to measure their personality at baseline, and the 17-item Hamilton Depression Rating Scale (HAMD-17) and Children's Depression Rating Scale-Revised (CDRS-R) were used to evaluate depressive symptoms at baseline and 8 weeks. Moreover, logistic regression was performed to investigate the relationship between personality dimensions and antidepressant response. Receiver operating characteristic analyses were employed to determine the accuracy of a PT-based model in predicting the antidepressant response rate. ResultsAdolescents with MDD had significantly different PTs at baseline. Multivariable logistic regression analysis showed that extroversion scores were associated with response to antidepressant treatment, the lower the extroversion score, the better the response to antidepressant treatment, after correcting for variables with significant differences and trends or all potential confounding variables. It was also found that the combination of disease duration, extraversion-gregariousness, and agreeableness-trust effectively predicted antidepressant response in adolescents with MDD, with a sensitivity of 79.4 % and specificity of 68.7 %. ConclusionPersonality dysfunction in adolescents is associated with MDD. The antidepressant treatment response is influenced by the degree of extroversion in adolescents with MDD.

Frequency and characteristics of refractory dyspnea in idiopathic fibrosing interstitial pneumonia

Patients with idiopathic fibrosing interstitial pneumonias (f-IIPs) mainly suffer from dyspnea. Refractory dyspnea, defined as persistent dyspnea despite optimal treatment, could be the signal to prescribe dyspnea relievers. We aimed to examine the prevalence and characteristics of refractory dyspnea in consecutive patients with f-IIPs.Refractory dyspnea was defined by an mMRC≥3 and also by a VAS dyspnea score≥2 at rest. The sensory and affective characteristics of refractory dyspnea (mMRC≥3) and associated quality of life (QoL) anxiety and depression were compared with non-refractory dyspnea (mMRC1-2) using the Multidimensional Dyspnea Profile (MDP), King's Brief Interstitial Lung Disease (KBILD) and Hospital Anxiety and Depression scale (HADs).We included 40 patients (24 men), aged 72 [68–79], FVC of 71 % [59–86] and DLCO 47 % [40–49]. Refractory dyspnea, was found in 38 % (95%CI:23–54) when defined by mMRC≥3 and in 67 % (95%CI:50–81) using a resting VAS dyspnea score ≥2. The agreement between the two definitions was low. Patients with refractory dyspnea (mMRC≥3) were more often women (60 % vs.28 %, p = 0.046), had a lower DLCO (24 % [22–43] vs.47 % [43–51], p = 0.014) and more frequently used oxygen (60 % vs.12 %, p = 0.003); they experience more intense air hunger (5/10 [3-6] vs.2/10 [0–5], p = 0.018)). No significant differences were observed in VAS, MDP, KBILD, or HADs scores between refractory and non-refractory dyspnea patients.Our results indicate a significant frequency of refractory dyspnea in patients with f-IIPs and an association with air hunger but no impact on the affective dimension of dyspnea, anxiety, depression and QoL, suggesting that the mMRC score might not accurately identify patients distressed by their breathlessness.

Introducing semantic loadings in factor analysis: Bridging network psychometrics and cognitive networks for understanding depression, anxiety and stress

A psychometric scale reports experiences in terms of items/sentences rated by individuals. We investigate whether psychometric item ratings reflect semantic/syntactic associations between concepts in items. To this aim, we introduce semantic loadings as a semantic counterpart of psychometric factors, i.e. clusters of items obtained by correlations between item ratings. Semantic loadings quantify how clusters of semantically related concepts, as expressed in the texts of items, are allocated across psychometric factors as identified by ratings. As a case study, we focus on 39775 individual responses to the Depression Anxiety and Stress Scale (DASS) with 42 items on a 4-point Likert scale. To identify communities of semantically related concepts, we exploit the cognitive network framework of Textual Forma Mentis Networks (TFMNs), which reconstruct semantic/syntactic links encoded in the texts of items (e.g. "feel" and "sad" in the item "I usually feel sad"). To identify factors we compare eigenvector-based exploratory analysis with Graph Exploratory Analysis (EGA), which can both cluster items (and their texts) according to user ratings. We find that EGA is better at reconstructing the psychological organisation of DASS along the dimensions of anxiety, stress and depression. Following dual coding theory and the Deep Lexical Hypothesis, we posit that the act of reading items activates interconnected concepts and this influences user ratings and their expressed psychological constructs. Our results show a quantitative match: TFMN-based semantic loadings can identify specific aspects of emotional dysregulation, emotional exhaustion, physical distress and tension states of EGA-based psychometric factors, in non-random ways (up to p &lt; 0.001). We discuss our results in view of relevant mental distress literature, psychometric scale designing and links with episodic and semantic memories.

Optimizing psychotherapies for perinatal depressive symptom dimensions by strengthening social support networks: an exploratory mediation analysis approach.

The Thinking Healthy Program (THP) is a multicomponent low-intensity cognitive behavioral therapy-based psychosocial intervention. This intervention has been shown to be clinically effective in perinatal depression (PND) and feasible for implementation in low-resourced settings. It has also been shown to work universally for different phenotypes of PND. However, the mechanism through which THP resolves different phenotypes of PND are unclear. The present investigation presents secondary mediation analyses of a dataset curated from a cluster randomized controlled trial conducted in Pakistan assessing the effectiveness of the THP. Women aged 16-45years in their third pregnancy trimester, with a diagnosis of PND, underwent 16 sessions of the intervention. The severity of depression was assessed using the Hamilton Depression Rating Scale (HDRS). 2-1-1 mediation models revealed that social support exerted significant mediation in driving the intervention effects for improving the severity of depressive symptoms on the HDRS [B (SE)=0.45 (0.09), 95% CI: 0.30-0.60] and its symptom dimensions of core emotional symptoms [B (SE)=0.27 (0.06), 95% CI: 0.18-0.37], somatic symptoms [B (SE)=0.24 (0.04), 95% CI: 0.16-0.31] and insomnia symptoms [B (SE)=0.04 (0.02), 95% CI: 0.02-0.07].